Skip to content
naulon

No retraction, correction or concern found when last checked on Oct 22, 2026.

The Key Role of Mitochondrial Function in Health and Disease

Iñigo San-Millán

Antioxidants · 2023 · Review · CC BY

doi:10.3390/antiox12040782

Abstract

The role of mitochondrial function in health and disease has become increasingly recognized, particularly in the last two decades. Mitochondrial dysfunction as well as disruptions of cellular bioenergetics have been shown to be ubiquitous in some of the most prevalent diseases in our society, such as type 2 diabetes, cardiovascular disease, metabolic syndrome, cancer, and Alzheimer’s disease. However, the etiology and pathogenesis of mitochondrial dysfunction in multiple diseases have yet to be elucidated, making it one of the most significant medical challenges in our history. However, the rapid advances in our knowledge of cellular metabolism coupled with the novel understanding at the molecular and genetic levels show tremendous promise to one day elucidate the mysteries of this ancient organelle in order to treat it therapeutically when needed. Mitochondrial DNA mutations, infections, aging, and a lack of physical activity have been identified to be major players in mitochondrial dysfunction in multiple diseases. This review examines the complexities of mitochondrial function, whose ancient incorporation into eukaryotic cells for energy purposes was key for the survival and creation of new species. Among these complexities, the tightly intertwined bioenergetics derived from the combustion of alimentary substrates and oxygen are necessary for cellular homeostasis, including the production of reactive oxygen species. This review discusses different etiological mechanisms by which mitochondria could become dysregulated, determining the fate of multiple tissues and organs and being a protagonist in the pathogenesis of many non–communicable diseases. Finally, physical activity is a canonical evolutionary characteristic of humans that remains embedded in our genes. The normalization of a lack of physical activity in our modern society has led to the perception that exercise is an “intervention”. However, physical activity remains the modus vivendi engrained in our genes and being sedentary has been the real intervention and collateral effect of modern societies. It is well known that a lack of physical activity leads to mitochondrial dysfunction and, hence, it probably becomes a major etiological factor of many non–communicable diseases affecting modern societies. Since physical activity remains the only stimulus we know that can improve and maintain mitochondrial function, a significant emphasis on exercise promotion should be imperative in order to prevent multiple diseases. Finally, in populations with chronic diseases where mitochondrial dysfunction is involved, an individualized exercise prescription should be crucial for the “metabolic rehabilitation” of many patients. From lessons learned from elite athletes (the perfect human machines), it is possible to translate and apply multiple concepts to the betterment of populations with chronic diseases.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 22, 2026. Paragraph numbers are ours, so an answer can point at one.

1. Introduction

The role of mitochondrial function in health and disease has become increasingly popular, especially in the past two decades. It is known that the dysregulation of mitochondrial function and cellular bioenergetics are hallmarks of many diseases, such as type 2 diabetes (T2D), cardiovascular disease (CVD), metabolic syndrome, cancer, and Alzheimer’s disease (AD). Although mitochondrial dysfunction is ubiquitous to many non–communicable diseases (NCDs), the etiology and pathogenesis of mitochondrial dysfunction remain elusive and the subject of important biomedical research nowadays as one of the most significant medical challenges in our history.

The energy production of an individual is based on the metabolic demand and metabolic efficiency during exercise, resting, and fasting and in a postprandial state. Cellular bioenergetics are quite complex and tightly intertwined with the purpose of producing the necessary energy for cellular survival as well as achieving cellular homeostasis. Mitochondria are the main cellular organelles in charge of energy production and play a pivotal role in the control of cellular hemostasis. Under resting conditions, fatty acids and carbohydrates should be successfully transported into mitochondria and be oxidized to Acetyl–CoA for posterior oxidation in the Kreb cycle (tricarboxylic acid cycle (TCA)) and electron transport chain (ETC) through oxidative phosphorylation (OXPHOS) in order to synthesize the key energetic compound in the human body (ATP). Mitochondria are also the production site for reactive oxidative species (ROS), which at physiological levels behave as signaling molecules needed for cellular homeostasis. Hence, mitochondrial malfunctions will impact cellular bioenergetics, cellular function, and cellular homeostasis, making mitochondria a key player in health and disease. There are multiple effectors eliciting mitochondrial dysfunction that have been recognized, including mitochondrial DNA mutations, infections, aging, and a lack of physical activity. However, the etiology of mitochondrial dysfunction in the pathogenesis of multiple diseases has yet to be elucidated. The aim of this review is to assemble multiple components involved in the role of mitochondrial function in health and disease, especially some of the most prevalent NCDs in our society.

Furthermore, the development of assessments for mitochondrial function in humans appears imperative in order to detect or diagnose mitochondrial dysfunction or decay. If signs of mitochondrial impairment or decay are detected early in life, there could be a significant window of opportunity to intervene in order to prevent diseases or the further deterioration of existing ones as well as improve multiple diseases through enhancing mitochondrial function through lifestyle interventions such as exercise. It has been known for decades that physical activity is probably the only known intervention that can improve mitochondrial function. The “exercise as medicine” concept continues to grow among health professionals as a necessity to prescribe exercise in a personalized and individualized manner, which seems imperative in the decades to come. However, an individualized exercise prescription should be crucial for the “metabolic rehabilitation” of many patients. This task remains a challenge due to the current lack of vertical and horizontal integration of medical systems, including clinicians, multiple providers, exercise specialists, and health care systems, with the proper means and infrastructures. The scientific and individualized approach to training elite athletes has been shown to be quite successful over the last several decades. Hence, the lessons learned from the work done with elite athletes can be an important “template” to apply to populations with chronic diseases in order to prescribe individualized exercise with the goal of improving mitochondrial function, disease, and overall metabolic health.

2. Mitochondria, the Key Aerobic Microbe for Eukaryotic Cell Evolution

Mitochondria originated about 1.5 billion years ago from a prokaryotic origin linked to archaebacterium (“archae” meaning “ancient bacteria”). According to the endosymbiotic hypothesis proposed by Dr. Lynn Margulis in 1967, eukaryotic species evolved from aerobic prokaryotic microbes (mitochondria) that were engulfed by an eukaryotic cell leading to endosymbiosis. In general, through this symbiotic relationship, mitochondria provided aerobic energy to eukaryotic cells in exchange for protection. The ability of mitochondria to conduct aerobic respiration inside the host eukaryotic cell led to a fundamental change in evolution and the origins of hundreds of new genes and proteins, leading to novel metabolic characteristics of eukaryotic cells providing transformational evolutionary advantages to multiple species including animal life. Mitochondria continued to evolve within eukaryotic cells and both entities improved their symbiotic relationship of energy and protection.

On the other hand, the Romanian biologist and chemist Eugene Macovschi developed the biostructural theory. According to this theory, living cells possess a related biological structure conferring on them living features through a so–called biostructure by which living matter consists of two distinct and interdependent forms: biostructure matter, which is the living matter itself, and coexistent molecular matter, which is a combination of chemicals in non–living matter. The biostructure in cells forms an inseparable unit such that, according to Macovschi, only one uniform cell could be the origin of all forms of life, contradicting the endosymbiosis hypothesis.

Today, the cell nucleus contains genes encoding for about 1200 proteins involved in mitochondrial structure, membrane, and mitochondrial DNA (mtDNA) repair. Nuclear DNA (nuDNA) is the key to a mitochondrion as its genome only contains 37 genes that encode 13 proteins, all of them involved in OXPHOS; hence, the symbiotic relationship with nuDNA. Mitochondria are referred to as the “powerhouses of cells” since they provide the ATP necessary for cellular functions and life. Mitochondria are found in all cells in the body except for red blood cells, which rely on aerobic glycolysis and lactate for proliferation and survival. Although it is commonly thought that mitochondria are individual organelles, in skeletal muscle they probably evolved to become interconnected in a reticulum or a network, most likely penetrating deep into skeletal muscles for increased bioenergetic efficiency.

3. Mitochondrial Bioenergetics Are Complex and Intertwined

The oxidation of multiple fuels occurs within the matrix of mitochondria through the TCA cycle and OXPHOS. Mitochondria oxidize all major substrates derived from macronutrients: pyruvate derived from carbohydrates, fatty acids derived from fat, and amino acids derived from protein. Lactate, the obligatory byproduct of glycolysis, is also a very important fuel for mitochondria and could even be the fuel preferred by most cells. Other metabolites, such as ketone bodies, are also commonly oxidized by mitochondria, especially under stress and fasting conditions. Skeletal muscle comprises the largest organ in the body and is the largest contributor to aerobic capacity through mitochondrial respiration. Hence, skeletal muscle mitochondrial function is crucial for whole–body metabolic function and health.

Under normal, healthy conditions, mitochondrial bioenergetics are complex and tightly regulated for cellular homeostasis. In general, pyruvate, fatty acids, and a few amino acids are linked together upon being converted to Acetyl–CoA, which is the first step in the TCA cycle. The final step in the TCA cycle is the production of reducing equivalents of NADH and FADH2, which deliver electrons and hydrogen ions (H+) to mitochondrial complexes through the electron transport chain (ETC) in the inner mitochondrial membrane. These electrons build up a chemical gradient that drives ATP production. Hydrogen ions are pumped out from the mitochondrial matrix into the intermembrane space through mitochondrial complexes (I to IV). The large gradient of protons that accumulate in the intermediate space will force H+ back to the lower gradient in the mitochondrial matrix to generate ATP.

Even before oxidation, mitochondrial transport of multiple substrates is of key importance. In general, medium–chain fatty acids (FAs) can freely enter mitochondria, while long–chain FAs need to be transported through palmitoyltransferase–1 and 2 (CPT–1/2) located on the outer and inner mitochondrial membranes, respectively. Fatty acids are converted to Acyl–CoA, which through β–oxidation is converted to Acetyl–CoA for oxidation in the TCA. Pyruvate, on the other hand, is transported across mitochondria by the mitochondrial pyruvate carrier (MPC) and oxidized to Acetyl–CoA by pyruvate dehydrogenase (PDH). Therefore, the dysfunction of any of these elements involved in substrate transport across mitochondria can severely disrupt cellular bioenergetics and function.

Substrate kinetics and dynamics are also important in cellular bioenergetics. When there is increased glycolytic flux, such as in the case of high–intensity exercise or high CHO ingestion, pyruvate may accumulate even under fully aerobic conditions and have difficulty being transported across mitochondria and oxidized to Acetyl–CoA, leading to its reduction to lactate. This is a ubiquitous process in exercise bioenergetics where PDH and lactate dehydrogenase (LDH) enzyme kinetics as well as MPC transport kinetics are key players. The LDH–A isoform possess a higher affinity for pyruvate, therefore eliciting a higher rate of pyruvate reduction to lactate. Further, in the oxidation of 2 Glyceraldehyde–3–phosphate (G–3–P) to 1,3–Diphosphoglycerate, NAD+ is reduced to NADH and, under high glycolytic flux, cytosolic NAD+ may be depleted, leading to halted glycolysis and the disruption of the NAD+/NADH ratio and intracellular redox state. During this stressful cellular event, NAD+ is “rescued” by lactate through the reduction of pyruvate to lactate through LDH–A and the oxidation of NADH to NAD+ for the continuation of glycolysis and the stabilization of the cellular redox state. Furthermore, increased glycolytic flux can lead to the accumulation of Acetyl–CoA, resulting in inhibition of Malonyl Co–A, which inhibits CPT1 and, therefore, fatty acid transport across the mitochondrial membrane.

Lactate is a canonical component of cell biology and at the crossroads of cellular bioenergetics and intermediary metabolism. Lactate is the obligatory end product of glycolysis and behaves as a “lacthormone” by possessing multiple endocrine, paracrine, and autocrine properties. Lactate is mainly oxidized in mitochondria through the mitochondrial lactate oxidation complex (mLOC). Poor mitochondrial lactate oxidation could lead to a significant dysregulation of cellular bioenergetics. Both lactate accumulation in the cytosol and exportation to the blood could have significant effects on the regulation of both fat and carbohydrate metabolism, tightly regulating the intermediary metabolism as well as having an intimate relationship with mitochondrial function. Lactatemia decreases the mRNA expression of GLUT 4 in skeletal muscles, therefore decreasing glucose uptake and oxidation. Furthermore, lactate binds to the G–protein–coupled receptor (GPR81) on adipocytes, which inhibits lipolysis. Moreover, we have recently shown that lactate decreases the activity of both CPT1 and CPT2 in neonatal rat cardiomyocytes, disrupts cardiolipin species, increases reactive oxidative species (ROS), and disrupts cellular bioenergetics by decreasing the rate of ATP production. A decrease in lactate and fat oxidation (FATox) by mitochondria, as in the case of T2D or metabolic syndrome, indicates a direct relationship between lactatemia and FATox.

Metabolic flexibility is a term that has emerged in the last two decades and continues to evolve due to its involvement in multiple diseases. Mitochondrial flexibility is defined as the ability to respond or adapt to conditional changes in metabolic demand. However, the work in metabolic flexibility probably dates back over a hundred years to the pioneering work by Harris and Benedict, who studied the metabolism of adult males and females, infants, and patients with diabetes. Especially relevant was Benedict’s work in the 1920s and 1930s on the basal metabolism of both humans and animals as well as metabolic responses to exercise. Skeletal muscle substrate utilization and bioenergetics are central to metabolic flexibility. Kelly and Mandarino elegantly demonstrated that skeletal muscle is central to the study of mitochondrial function. They observed that individuals with type 2 diabetes (T2D) and obesity showed metabolic inflexibility in postprandial conditions with altered glucose and fat oxidation. Before the innovative studies by Kelly and Mandarino, DeFronzo and colleagues had shown that under euglycemic hypersinsulinemic clamp conditions, skeletal muscle uptakes and metabolizes ~85% of all glucose. Metabolic flexibility and mitochondrial function are closely intertwined as under resting and post–prandial conditions both fat and glucose are oxidized in mitochondria via OXPHOS.

In summary, mitochondrial bioenergetics are quite complex and the studies continue to show that the disruption of mitochondrial and, in general, cellular bioenergetics is central to the pathogenesis of multiple diseases. The following decade will be decisive in unveiling further crucial aspects of mitochondrial bioenergetics as well as therapeutic targets.

4. Mitochondria, the Main Producers of Reactive Oxygen Species (ROS)

Oxygen consumption and reactive oxidative species (ROS) are ubiquitous to mitochondrial respiration. As electrons flow through the ETC, an estimated 0.4–4% of them leak before reaching Complex IV. Hence, mitochondria are considered to be the main generators of ROS and, within mitochondria, Complex I is the main ROS–generating site. Historically, ROS were previously thought to only cause cellular damage. However, it is well known that at physiological levels ROS generation is necessary and highly involved in the regulation of cellular homeostasis, key signaling pathways, cell proliferation, cell differentiation, cell migration, angiogenesis, and increased lifespan. The process by which physiological ROS are involved in cellular homeostasis and signaling has been named “oxidative eustress” and also mitohormesis. Superoxide anions (O2−) and hydrogen peroxide (H2O2) are the main ROS and cells have specific mechanisms for counteracting excessive ROS production as well as scavenging free radicals through antioxidants such as superoxide dismutase (SOD), catalase (CAT), reduced glutathione (GSH), glutathione peroxidase (GPx), and glutathione reductase (GR). When ROS production exceeds the antioxidant capacity, ROS accumulate and can cause multiple cellular disruptions involved in multiple diseases. Excess ROS production by mitochondria can cause damage to mtDNA, proteins, and lipids, which in turn can disrupt mitochondrial function and cellular homeostasis.

Although ROS production and mitochondrial dysfunction are intimately associated in multiple diseases, the mechanisms by which either primary ROS production leads to mitochondrial dysfunction or vice versa need to be elucidated. Could “faulty” mitochondrial function be responsible for excessive ROS production, or could it be the opposite? ROS generation occurs in the mitochondrial inner membrane, which is proximal to the mtDNA that depends on nuDNA for maintenance and repair. Therefore, the proximity of mtDNA to the ROS generation site makes mtDNA more vulnerable to oxidative damage. A primary mitochondrial dysfunction may lead to a further increase in the generation of ROS, leading to exacerbated oxidative stress, which, in turn, may lead to further mitochondrial dysfunction in a self–perpetuating, feed–forward, and vicious cycle. As an example of the mitochondrial dysfunction and ROS balance for cellular homeostasis, deficiencies in the pyruvate dehydrogenase complex (PDC) lead to the accumulation of pyruvate and lactate, which has been shown to increase ROS levels and decrease the antioxidant capacity. On the other hand, lactate is an important signaling molecule as it stimulates a modest amount of ROS production, which elicits an antioxidant response for pro–survival cellular pathways such as PI3K/AKT and endoplasmic reticulum (ER) chaperones. Moreover, different events and external effectors have been shown to elicit mitochondrial ROS generation. Tumor necrosis factor alpha (TNF–α), an inflammatory mediator, has been associated with increased ROS generation. Several toxic metals, such as mercury, damage mtDNA and elicit lipid peroxidation as well as the depletion of glutathione, leading to increased ROS generation and further mitochondrial damage. Iron–deficiency anemia can cause a decrease in the activity of Complex IV, eliciting a higher level of oxidative stress.

In summary, mitochondria are the main site for ROS generation and for an extended period of time it was thought that ROS production was exclusively detrimental to human cells. However, it is well known that ROS act as key signaling molecules necessary for cellular and mitochondrial homeostasis. Nevertheless, an understanding of the exact balance between homeostatic and pathological ROS production remains elusive and is currently an area in which important research efforts are being made.

5. Etiologies of Mitochondrial Dysfunction

It is important to note that the term “mitochondrial dysfunction” might not be completely appropriate. In most cases where the term “mitochondrial dysfunction” is coined, mitochondria still work but not at full or an appropriate level of potential compared with healthy states, hence the term “mitochondrial dysfunction”. However, in many situations, “decreased mitochondrial capacity” or “mitochondrial impairment” could be more appropriate. From genetic mutations to aging, infections, and a lack of physical activity, the etiology of mitochondrial dysfunction/impairment (Figure 1) is multiple and currently an important field of research due to its implications in health and disease.

5.1. Genetic Mutations

As previously mentioned, the mitochondrial genome contains 37 genes that encode for 13 proteins, all of which are involved in OXPHOS. Therefore, any mutation of those 13 genes could result in a significant disruption of mitochondrial function and cellular bioenergetics. The incidence of inherited mitochondrial mutations is considered to be quite rare (1 in 5000 individuals). Most mutations occurring in mtDNA are mainly point mutations and deletions. Other mutations occur in the nucleus, including to autosomal recessive, dominant, or X–linked mtDNA maintenance genes. Most mitochondrial genetic diseases are involved in neurological disorders, including myopathy, ataxia, and neuropathy.

It is important to highlight the importance of the relationship between nuDNA and mtDNA. As part of the ancient “symbiotic pact” of aerobic energy for protection between eukaryotic and prokaryotic cells, nuDNA encodes all the genes necessary for mitochondrial maintenance, repair, and replication. Hence, inherited or acquired mutations of nuDNA can contribute to mitochondrial instability. Unlike germline mutations, somatic mutations evolve over the life cycle of an individual and exposure to endogenous and exogenous mutagens could lead to potential errors in nuDNA repair and replication. The symbiotic genetic relationship between nuDNA and mtDNA remains largely unexplored and could confer significant insights into the etiology of multiple diseases.

Other mutations at the mitochondrial structural level can also affect cardiolipin (CL), which is a phospholipid in the inner mitochondrial membrane that regulates multiple mitochondrial processes and is also involved in mitochondrial dysfunction. As an example, Barth syndrome (BTSH) is a rare X–linked genetic disease caused by a mutation of the tafazzin gene, encoding for phospholipid transacylase, which is necessary for CL remodeling and characterized by cardiomyopathy, skeletal myopathy, and neutropenia. BTSH is a classic example of a disruption to mitochondrial bioenergetics due to genetic mutations, leading to metabolic reprograming in the heart characterized by a significant decrease in the capacity for mitochondrial oxidation of fatty acids and pyruvate (~40–60%).

Cancer is another important disease characterized by decreased/impaired mitochondrial function. mtDNA is more susceptible to DNA damage than nuDNA as it has no introns, histones, or non–histone proteins and, therefore, it is continually exposed to endogenous and exogenous mutagens, ROS, and different carcinogens. This vulnerability is substantial and in cancer it has been shown that mtDNA mutations are significantly higher in number than nuDNA mutations. Vogelstein’s group was the first to decode the mitochondrial genome in tumors, where they found mtDNA mutations in seven out of ten human colorectal cancer cell lines. In a study by H.C. Lee and colleagues with 20 different types of cancer in 859 patients, 66% of those cancers carried at least one somatic mtDNA mutation. In cancer, the term “mitochondrial dysfunction” refers to a significant mitochondrial impairment leading to aberrant metabolic reprograming of cellular bioenergetics characterized by accelerated glucose uptake and lactate production. It was discovered by the Nobel Laureate Otto Warburg one hundred years ago.

5.2. Aging

The process of aging has been extensively studied over decades if not centuries. Aging is an inescapable biological process characterized by decreased physiological and cellular function across the body. A decrease in mitochondrial capacity has been observed with aging and is already considered a hallmark.

Briefly, damaged and aging mitochondria are controlled by the process of mitophagy, which is the internal cellular autophagy of mitochondria. Mitophagy and mitochondrial biogenesis are indispensable to the regeneration of new mitochondria and achieve a balance for mitochondrial health. Mitochondrial fission and fusion are key processes for the regeneration and maintenance of mitochondrial networks, structure, and function. In general, mitochondrial fission splits mitochondria, where the damaged structures of mitochondria are degraded through mitophagy. The healthy fragments of mitochondria are attached together by the fusion process, allowing for the regeneration of mitochondrial structure and function, including normal metabolic bioenergetics. A decrease in the mitochondrial dynamics between fission and fusion is typical of aging processes, including increased fission and decreased fusion, which can lead to metabolic changes resulting in increased glycolysis and the metabolic reprogramming of multiple cells.

As part of the aging process and exogenous mutagens, mtDNA mutations become more frequent and could disrupt mitochondrial dynamics and bioenergetics over time. One particular mitochondrial deletion, mtDNA4977, accumulates in multiple organs and is highly correlated with increased O2 consumption, which is a sign of increased glycolysis and metabolic reprograming. The GEHA EU project was an ambitious project whose goal was to compare the mtDNA variability in 2200 nonagenarian Europeans and the same number of younger individuals as a control. The study showed that the association with longevity was only present when mtDNA OXPHOS complexes co–occurred.

It is also well known that, in aging, ROS and mitochondrial dysfunction are highly interconnected. According to the free radicals theory of aging first proposed by Harman in 1956, the ETCs inside mitochondria produce intracellular ROS that elicit mitochondrial damage and eventually cellular dysfunction. Mitochondrial ROS production can also interfere with mitophagy by disrupting the balance between fusion and fission, promoting the latter and activating intrinsic apoptotic pathways. However, over the last decade the emphasis on ROS production as the underlying mechanism of the pathogenesis of aging has evolved to mitochondrial bioenergetics and turnover, where ROS generation could be a consequence of aging and mitochondrial dysfunction instead of the primary cause of mitochondrial injury. Moreover, aging elicits an accumulation of damaged mitochondria in the brain, leading to a lower degree of metabolic efficiency, producing less ATP, and increasing the production of ROS, which can result in a disruption of cellular bioenergetics triggering neurogenerative disease.

5.3. Infections

Mitochondria play an important role in regulating the immune response to infections as they trigger multiple modulators involved in the innate immune system, including the transcriptional regulation of cytokines, chemokines, and inflammasomes. Multiple bacteria and viruses modulate cellular bioenergetics in order to increase their survival rate and establish a proliferative niche. One main way by which microbes hijack cellular functions is by targeting mitochondria. Bacteria–like listeria monocytogenes, helicobacter pylori, shigella flexneri, legionella pneumophila, and chlamydia trachomatis cause mitochondrial fragmentation, mainly by increasing fission. Viruses also target mitochondria through different mechanisms. The Hepatitis C virus targets mitochondria by increasing mitophagy. The HIV virus disrupts the mitochondrial fission–fusion balance in the brain by increasing mitochondrial fusion, causing damage to neurons. PB1–F2, an Influenza A protein, is translocated into the mitochondrial inner membrane, disrupting the membrane potential and leading to mitochondrial fragmentation.

Of recent importance is the pandemic caused by the SARS-CoV-2 virus. Although still under investigation, it would seem that SARS-CoV-2 also targets mitochondrial function for survival and replication by downregulating OXPHOS, increasing the elongation and overproduction of ROS. Recently, we observed both metabolic and mitochondrial dysregulation in 50 patients infected with SARS-CoV-2 and affected by post–acute sequelae of COVID–19 (PASC), referring to extreme chronic fatigue. About half of these patients had previous comorbidities, but the other half were healthy and moderately active individuals. We observed significant metabolic dysregulation with an extremely poor capacity to oxidize fatty acids and clear lactate compared with individuals with metabolic syndrome, suggesting mitochondrial dysfunction. In a subsequent study deploying metabolomics, we were able to find robust signatures of mitochondrial dysfunction and impaired fatty acid metabolism in PASC. While mitochondrial function is normally restored when infections cease, patients affected by SARS-CoV-2 and suffering from long–lasting effects may have a significant and long–lasting alteration to muscle mitochondrial function, which needs to be studied in more depth.

Septicemia (sepsis) due to bacterial infection can also cause metabolic and bioenergetics disruptions in multiple organs that can ultimately lead to multi–organ failure and death. Mitochondrial dysfunction in sepsis has attracted an increasing amount of attention over the last decade in order to explain the bioenergetic dysfunction of organ failure characteristic of patients with sepsis. Impaired perfusion early on in the sepsis process, increased ROS generation, hormonal alterations, and altered transcription of mitochondrial genes can significantly affect mitochondrial function during sepsis. Recently, it has been shown that mitochondrial transcription factor A (TFAM), which is key in mitochondrial biogenesis, is significantly decreased in sepsis. Rahmel and colleagues have shown that intramitochondrial TFAM levels were ~80% lower compared with controls and accompanied by decreased mtDNA copy numbers and cellular ATP content. This finding is relevant as many sepsis survivors suffer from “post–sepsis syndrome”, which includes neuropathies, energetic dysfunction, and muscle weakness and wasting. The metabolic derangements in sepsis survivors also include hyperglycemia, which is a risk factor for the development of T2DM post–sepsis and CVD.

In summary, although long–term effects of viral or bacterial infections in general are rare, a decrease in mitochondrial function caused by certain infections can elicit significant metabolic dysregulation through mitochondrial dysfunction increasing the risk of metabolism–related diseases.

5.4. Lack of Physical Activity

Physical inactivity has been associated with multiple diseases, including cardiovascular disease, cancer, Alzheimer’s disease, type 2 diabetes, and Parkinson’s disease In fact, low cardiorespiratory fitness is considered to be responsible for the highest percentage of all attributable fractions for all–cause mortality.

The effects of a lack of physical activity on mitochondrial function have been known for decades. In 1979, Houston and colleagues found a 24% decrease in a mitochondrial function surrogate, succinate dehydrogenase (SDH), after 15 days of detraining in distance runners. Coyle et al. observed that 56 days of detraining elicited a 40% decrease in mitochondrial oxidative enzyme levels and a 22% increase in lactagenic enzyme lactate dehydrogenase (LDH) levels with increased blood lactate accumulation during exercise. Fritzen et al. found that 4 weeks of detraining in healthy male subjects elicited a decrease of 32% in the activity of another mitochondrial function surrogate, citrate synthase (CS), and a 29–36% decrease in mitochondrial complexes I–IV. Houmard and colleagues showed a decrease in CS activity of 25% with just 14 days of detraining.

Bed studies have contributed significantly to our understanding of the loss of proper mitochondrial function and metabolic flexibility. Alibegovic and colleagues elegantly showed that 9 days of bed rest altered more than 4500 genes and downregulated 34 metabolic pathways mainly associated with mitochondrial biogenesis, function, and OXPHOS. In this study, the most downregulated pathway was OXPHOS (54% of all genes involved in OXPHOS were downregulated). Further, bed rest elicited changes in the DNA methylation of the PPARGC1A gene, which encodes for PGC–1α, a master regulator of mitochondrial biogenesis. In this same study, upon retraining for four weeks, 82% of the genetic expression that was altered with bed rest was restored, showing that physical activity restores major losses in genetic expression in a relatively short period of time. Furthermore, bed rest also induces changes in substrate partitioning favoring glycolysis instead of OXPHOS with a decrease of 37% in fat oxidation and an increase of 21% in CHO in the post–absorptive state. Moreover, bed rest increases insulin resistance, which primarily occurs in skeletal muscle.

Finally, as described in Section 7 (vide infra), there are many studies showing that physical activity can efficiently increase mitochondrial function. Hence, the levels of daily physical activity (or the lack thereof) are significantly involved in mitochondrial function, the prevention of multiple diseases, and decreasing the risk of all–cause mortality.

6.1. Type 2 Diabetes

Type 2 diabetes has become an unstoppable epidemic affecting millions around the world and in various countries, regardless of their degree of development and sociocultural characteristics. Currently, in the United States alone, ~52% of the adult population has either pre– or type 2 diabetes. China is experiencing the largest increase in T2DM in the world and Europe is also experiencing a significant increase in T2DM. Other parts of the world, including developing countries such as Cuba and highly developed countries such as the United Arab Emirates, are also being affected by this epidemic.

Insulin resistance is the hallmark of T2D and central to its pathogenesis. As previously mentioned, skeletal muscle is central to the study of mitochondrial function and its relationship to the pathogenesis of T2D. Although the mechanisms remain elusive, multiple studies over the last two decades have implicated skeletal muscle mitochondrial dysfunction in the development of insulin resistance (IR). It is widely known that individuals with T2DM and metabolic syndrome are characterized by decreased mitochondrial content in both intermyofibrillar and subsarcolemmal skeletal muscle regions, mitochondrial oxidative enzymes, mitochondrial DNA, transcriptional factors and genes, and overall mitochondrial function. Furthermore, dysregulated muscle bioenergetics are a prevalent feature in individuals with type 2 diabetes, characterized by a poor capacity to oxidize fats and carbohydrates. The decreased capacity to oxidize both FAs and CHO in mitochondria leads to metabolic inflexibility and metabolic reprogramming with increased reliance on cytosolic glycolysis and lactate production to generate ATP. Furthermore, a lack of mitochondrial capacity for fat oxidation may lead to an accumulation of lipids in skeletal muscle adjacent to mitochondria, which is correlated with increased diacylglycerols, sphingolipids, ceramides, and insulin resistance. In individuals with IR, insulin signaling is disrupted, resulting in a decrease in AKT phosphorylation and the translocation of skeletal muscle glucose transporter (GLUT–4) to the sarcolemma, leading to a decrease in glucose uptake. Fernandez and colleagues developed a transgenic mouse model with the dominant–negative insulin–like growth factor–I receptor (KR–IGF–IR) in skeletal muscle. Expression of KR–IGF–IR abrogated IGF–1 and insulin receptors, resulting in insulin resistance in skeletal muscle.

Since skeletal muscle seems to be the tissue with the highest uptake of glucose, DeFronzo and Tipathy as well as Fernendez and colleagues proposed that T2D debuts in skeletal muscle and that muscle insulin resistance is the primary mechanistic event involved in the development of T2D.

6.2. Cardiovascular Disease

The role of mitochondrial dysfunction in cardiovascular disease has been receiving increasing attention in recent years. The heart can suffer from severe metabolic reprograming and mitochondrial dysfunction with a decrease in oxidative capacity, oxidative phosphorylation, and ATP synthesis and an increase in ROS production. The heart is the most oxidative tissue in the body and ~50–70% of ATP is synthesized through the β–oxidation of fatty acids with 30–40% derived from aerobic glycolysis. Consequently, decreased mitochondrial function of the heart could lead to a disruption of the cellular bioenergetics of cardiomyocytes through increased glycolysis as in the case of cardiac hypertrophy and heart failure. Furthermore, it has been shown that cardiomyocytes of patients with coronary artery disease possess 8–2000 more mtDNA deletions than healthy patients, which can significantly alter mitochondrial function and increase ROS production, leading to cellular damage and a dysregulated cellular metabolism. Moreover, even a small increase in glucose metabolism as a result of mitochondrial dysfunction can lead to cardiomyocytes with metabolic inflexibility.

Vascular tissue is also affected by mitochondrial dysfunction. mtDNA mutations and mitochondrial damage have been correlated with atherosclerosis. Specifically, atherosclerotic plaques are characterized by mitochondrial dysfunction and reduced mtDNA copy numbers. In the process of angiogenesis, vascular endothelial cells (VECs) possess a high degree of metabolic flexibility in order to adapt to the changing microenvironment of sprouting angiogenesis. Although the mitochondrial composition of VECs is only 2–6% of the cell volume as opposed to 32% in cardiac myocytes, a small percentage of the volume of mitochondria in VECs may be key to maintaining their homeostasis. Because of this specific phenotype, VECs rely on glycolysis and lactate for cell proliferation and angiogenesis. In fact, about 99% of the glucose is reduced to lactate in VECs as lactate is a major regulator of vascular endothelial vascular growth factor (VEGF) and hypoxia–inducible factor HIF–1, which are both key processes in angiogenesis. The remaining ATP synthesis is derived from fatty acids and glutamine via OXPHOS. Although minor, the role of fatty acid oxidation may be of importance to control and balance VEC proliferation as disruptions in VEC bioenergetics could lead to pathophysiological conditions, including atherosclerosis and hypertension. VECs also suffer from senescence associated with intrinsic mitochondrial impairments involving mtDNA mutations, ETC dysfunctions, changes in the fission–fusion balance, excessive ROS production, and decreases in antioxidant capacity.

6.3. Mitochondrial Dysfunction at the Crossroads of the Connection between Type 2 Diabetes and Cardiovascular Disease

The connection between T2D and CVD has received much attention, especially over the last two decades, as a large number of patients with T2D also develop CVD and vice versa. In many cases, this connection has led to the confluence of both diseases into one emerging disease: cardiometabolic disease. At this point, the connection between these two diseases is mainly epidemiological as the mechanisms behind the relationship remain elusive. As a possible hypothesis, a primary mitochondrial dysfunction in skeletal muscle could be important to understanding the connection between both diseases. A significant histological finding pertaining to skeletal fat metabolism occurs in physically fit individuals as well as in individuals with T2D, where both populations show an accumulation of intramuscular triglycerides. This phenomenon is known as the “skeletal muscle lipid paradox” as both physically fit individuals as well as individuals with T2D are characterized by the presence of a “lipid droplet” adjacent to mitochondria. However, the presence of skeletal muscle lipid or intramyocellular lipid (IMCL) content in highly metabolically fit individuals accounts for a significant source of fat oxidation during exercise. On the other hand, in individuals with T2D, this accumulation of fat possesses different metabolic properties and lipid profiles compared with fit individuals. In the case of individuals with T2D, the composition of intramuscular triglycerides is high in ceramides, which belong to a family of lipids consisting of sphingosines, which are bioactive lipid molecules and are involved in skeletal muscle insulin resistance, and mitochondrial dysfunction. Circulating ceramide levels are already considered to be a biomarker of insulin resistance, T2D, and CVD. Further, in the field of CVD research, it is well known that ceramides are key players in the atherosclerotic process. Historically, circulating ceramides have been thought to primarily originate in the liver, where they are packed in lipoprotein particles and transported to different tissues. However, it could be possible that the decrease in mitochondrial fat transport and oxidation in individuals with T2D could lead to chronic muscle lipid accumulation characterized by an increase in the content of ceramides that could be released into the blood and, consequently, contribute to the atherosclerotic process. Furthermore, as a possible cross–talk and transport mechanism, it has been shown that extracellular vesicles (EVs) can contain ceramides and that skeletal muscle is very active in secreting EVs. Could the skeletal muscles of people with T2D secrete EVs containing ceramides to the blood in a way that could influence the atherosclerotic process? Could other components of EVs (mRNA, microRNA, proteins, enzymes, etc.) be implicated in the dysregulation of the metabolic function of the endothelial tissue? Although the relationships between CDV and T2D are quite strong, the mechanisms behind the link between these diseases remain elusive and a significant amount of research is needed.

6.4. Alzheimer’s Disease, Is It the Brain’s Diabetes?

Over the past two decades, an increasing number of studies have linked T2D to AD and cognitive impairment. It is known that individuals with T2D have a 1.5–2–fold higher risk of developing CVD compared with people without T2D. Moreover, a study by Janson and colleagues found that 81% of patients with AD had either T2D or impaired fasting glucose. The same study showed that individuals with T2D possessed a higher frequency of islet amyloids and a greater extent of islet amyloids compared with control subjects.

The hypothesis of beta amyloid plaque as being the main culprit in the etiology of AD has prevailed since the mid–1980s. However, the therapeutic approaches to treating AD by targeting amyloid plaque have proven to be unsuccessful. Consequently, and due to the necessity of developing novel therapies, innovative pathways and approaches to understanding the pathogenesis of AD have emerged. Consequently, research on brain metabolism and bioenergetics has emerged and attracted a significant amount of attention over the last two decades. Glucose and lactate are the main energy substrates for the brain. A metabolic characteristic of patients with AD is diminished cerebral glucose metabolism characterized by a decreased capacity to uptake and oxidize glucose, signaling dysregulated brain bioenergetics. A traditional methodology for studying cerebral glucose metabolism is the use of an 18–F–Fluorodeoxyglucose (18F–FDG) PET scan. Early studies from the 1990s showed decreased glucose metabolism in AD patients despite normal blood flow. Recently, Hammond and Lin proposed that glucose metabolism is a better marker for predicting AD than amyloid or tau. Further, there has been a recent tendency in clinical practice to incorporate 18F–FDG–PET in the diagnosis and progression assessment of AD.

The plethora of studies showing decreased cerebral glucose metabolism in patients with AD have led multiple researchers to inevitably explore the role of IR and mitochondrial dysfunction in the pathogenesis of AD. These pronounced novel interests have shown that, indeed, two main metabolic hallmarks of patients with AD are IR and mitochondrial dysfunction. Since IR and mitochondrial dysfunction are also the main hallmarks of T2D, there seems to be a metabolic connection. Hence, novel terminologies such as “type 3 diabetes”, “brain diabetes”, and “end–stage type 2” have emerged in efforts to describe the pathogenesis of AD using a metabolism–centric approach.

Furthermore, like skeletal muscle, the brain possesses a lactate shuttle key to brain bioenergetics. Although glucose historically has been thought to be the main fuel for the brain, it is now well known that lactate is a key fuel for neurons, possibly the preferred fuel for the brain, and essential for long–term memory. In skeletal muscle, the discovery of the lactate shuttle by Dr. George Brooks was instrumental in understanding skeletal muscle glucose and intermediary metabolism. Briefly, lactate is shuttled from fast to slow–twitch muscle fibers, where lactate is oxidized in the mitochondria of slow–twitch muscle fibers via the mitochondrial lactate oxidative complex (mLOC) for fuel purposes. Like skeletal muscle, the brain possesses its own lactate shuttle, which is called the “astrocyte–neuron lactate shuttle”. Astrocytes play a key metabolic role in glucose metabolism as they receive glucose from the blood as well as store glycogen and break it down to glucose. Glycolysis is the main metabolic pathway for astrocytes, where most of the pyruvate is reduced to the lactate that is exported to neurons for fuel. From lessons learned from skeletal muscle metabolism, it is possible to observe similarities in brain metabolism through intracellular and extracellular lactate dynamics associated with mitochondrial function. While in skeletal muscle lactate is shuttled from fast–twitch muscle fibers to the mitochondria of slow–twitch fibers, in the brain, lactate is shuttled from astrocytes to neurons, where lactate is oxidized in the mitochondria of neurons via pyruvate oxidation. As a possible hypothesis, a mitochondrial dysfunction in neurons might lead to reduced astrocyte–derived lactate oxidation resulting in decreased pyruvate oxidation and a disruption of neuronal bioenergetics, as is the case with skeletal muscle, which is ultimately limited not only by glucose transport but by pyruvate oxidation.

The etiology of mitochondrial dysfunction in AD patients remains largely unknown. Although the mechanisms behind the pathogenesis of AD remain elusive, novel and exciting advances in our understanding of brain metabolism have been made in the last decade, opening the door towards the generation of novel diagnostic methods and therapeutics.

6.5. Cancer

The lack of progress in targeting genes to cure cancer has led to the development of novel areas of research and clinical applications with exciting therapeutic possibilities. These therapies include immunotherapy and targeted therapies, particularly those that use tyrosine kinase inhibitors (TKIs). Both immunotherapy and TKIs have helped to extend the lives of and even cure disease in (as in the case of immunotherapy) millions of people. Although they have efficacy in only a relatively small number of tumors and people, we can expect that new and more efficient generations of these therapies will be developed.

As a result of the necessity of expanding our understanding of cancer, the field of cancer metabolism has experienced a strong renaissance in the last two decades due to the renewed interest in the Warburg Effect. As previously mentioned, in 1923, the German cell physiologist and Nobel Laureate Otto Warburg discovered that cancer cells show accelerated glycolysis and produce significant amounts of lactate. Although cancer cells increase their glucose uptake, they may not oxidize pyruvate correctly in mitochondria, reducing it to lactate. The observation of the significant amount of lactate that accumulates in cancer cells led Warburg to posit that cancer is an injury to the cellular respiratory system (mitochondria). However, one century ago, DNA and genetic mutations were not known to exist, as DNA was discovered by Watson and Crick in 1953. It is widely recognized that genetic mutations are ubiquitous to cancer, especially the overexpression of genes such as RAS, MYC, and hypoxia inducible factor 1 alpha (HIF–1–alpha) and the loss of function of the tumor suppressor factor TP53, which confers on cancer cells a selective growth advantage for aberrant cell growth and proliferation. Hence, not all types of cancer necessarily possess a mitochondrial dysfunction.

As mentioned above, the Warburg Effect is characterized by accelerated glycolysis and increased lactate production, which was probably what struck Warburg the most. According to the “lactagenesis hypothesis”, the exacerbated lactate production due to cancer cells observed by Warburg one hundred years ago could be the explanation for and purpose of the Warburg Effect. According to this hypothesis, lactate could be a major regulator of the main elements involved carcinogenesis: angiogenesis, immune escape, metastasis, and self–sufficient metabolism. Moreover, it has been shown recently that lactate is an oncometabolite capable of regulating histone acetylation as well as the expression of the main genes involved in ER+ breast cancer cells, including RAS, MYC, and HIF–1–alpha. Since lactate is a canonical element in most cancers, the transcendental question is: why is lactate so ubiquitous to cancer metabolism? As Warburg described a century ago, an injury to mitochondria could be one possible answer. The question of whether this injury is due to a genetic etiology, a metabolic dysregulation, or both will be fundamental to answer and even crucial to finally conquering cancer in the next decade.

As previously mentioned, it is known that many cancers have some form of mitochondrial impairment/dysfunction that could be attributable to somatic mtDNA mutations (as already observed by Vogelstein’s laboratory in the late 1990s) as well as mtDNA depletion. Furthermore, other authors have observed direct disruptions of the mitochondrial structure affecting cristae (cristolysis) in glioblastoma multiforme (GBM), which should have devastating consequences for cellular bioenergetics and homeostasis and could possibly be a reason for the high aggressiveness of GBM.

Furthermore, as previously mentioned, mitochondria highly depend on nuDNA as it encodes for ~1200 proteins necessary to mitochondrial repair, maintenance, and biogenesis. Hence, any mutation of any of the mitochondrial nuDNA–dependent genes could lead to dysregulation of the mitochondrial bioenergetics resulting in metabolic reprogramming through decreased OXPHOS as well as increased glycolysis and lactate production, leading to carcinogenesis. The crucial symbiotic relationship between the cellular nucleus and the mitochondrion dates back ~1.5 billion years and any disruption of this relationship by either external/internal mutagens or epigenetic effectors could lead to severe consequences for cellular homeostasis. Although the enduring symbiotic relations between the nucleus and the mitochondrion remain largely unexplored in cancer, they may provide us with a better understanding of cancer.

In summary, the implications of mitochondrial function in some of the most common NCDs are quite prevalent and central to the pathogenesis of these diseases (Figure 2). Furthermore, there is growing evidence of strong relationships between several diseases, where mitochondrial dysfunction could not only be the etiology behind the pathogenesis of these diseases but also a nexus, which, if true, would elevate medical research to horizons never before reached. Undoubtedly, the research that will be conducted during the next decade holds much promise.

7. Exercise, the Only Known “Medicine” for Maintaining and Improving Mitochondrial Function

It has been known for decades that exercise is the best physiological stimulus for improving mitochondrial function in skeletal muscles and possibly other organs. In this regard, we have learned many lessons from elite athletes that can be translated to multiple populations. Well–trained athletes possess the highest mitochondrial function of any humans. The typical characteristic of elite endurance athletes is an increased capacity to oxidize fatty acids as well as carbohydrates, making them highly metabolically flexible.

Since the late 1960s and early 1970s, multiple studies have demonstrated improvements in mitochondrial biogenesis and function after training. Twelve weeks of endurance training (5 days/week) increased the number of mitochondrial enzymes by 2–fold and the total amount of protein content by 60%. Ten weeks of daily endurance training increased the mitochondrial concentration in the gastrocnemius muscle by ~30% and 1 h of cycling for 4 days/week over five months at an intensity of 70–90% of the VO2max increased the oxidative capacity and glycolytic capacity by 95 and 117%, respectively. Exercise can improve mitochondrial health by increasing mitochondrial content, increasing the transcriptional activity of mitochondrial proteins such as PGC–1α, and decreasing ROS production. A 16–week aerobic exercise program as an intervention in both men and women showed an increase in CS and cytochrome c oxidase of 45 and 76%, respectively, as well as an increase in the expression of genes involved in mitochondrial biogenesis, such as PGC1a (55%), NRF–1 (15%), and TFAM (85%).

Different studies have also used the model of training followed by detraining in order to measure muscle and mitochondrial plasticity and as a stimulus for physical activity and detraining. Moore and colleagues observed an increase of ~38% in CS activity in sedentary subjects after 7 weeks of training followed by a decrease of ~25% in CS activity and an increase of ~10% in the respiratory exchange ratio (RER) after 3 weeks of detraining, reflecting a decrease in mitochondrial oxidative capacity and flexibility. Klausen et al. observed an increase of 30–40% in SDH and mitochondrial cytochrome c oxidase (COX) after 8 weeks of training, followed by a decrease to basal levels after 8 weeks of detraining. Wibom et al. found an increase of 70% in the mitochondrial ATP production rate after 6 weeks of training followed by a decrease to between 12 and 28% after 3 weeks of detraining.

Regarding the beneficial effects of exercise on mitochondrial function in multiple diseases, there are multiple studies demonstrating the benefits of exercise on mitochondrial function. For example, a 16–week aerobic training program in sedentary, overweight/obese individuals resulted in a significant increase in mitochondria (76%) in the myofiber volume accompanied by improvements in insulin resistance that were highly correlated with mitochondrial size and content (r = 0.88 and 0.72, respectively, p < 0.01). Toledo and colleagues also showed that diet and weight loss alone are insufficient to stimulate the mitochondrial capacity in skeletal muscle compared with diet plus exercise. In this study, both groups showed similar improvements in insulin resistance but the exercise group was the only one in which improvements in mitochondrial density, cardiolipin content, and ETC were observed. The same group of researchers showed that, in individuals with T2D, a moderate–intensity exercise program for 4 months elicited significant increases in mitochondrial density (67%), cardiolipin (55%), and mitochondrial oxidative enzymes and improved glycemic and metabolic flexibility. In diabetic mice, eight weeks of aerobic exercise significantly improved the expression of mitofusin–2 (Mf2n), which improves fusion, increases the expression of the mitochondrial transcription factor PGC–1α for mitochondrial biogenesis, increases overall mitochondrial respiration, and decreases IR and ROS production.

In patients with mitochondrial myopathies, due to mtDNA mutations, endurance exercise has been shown to elicit significant improvements in mitochondrial function. Taivassalo and colleagues elegantly showed that 14 weeks of endurance training significantly increased the mitochondrial oxidative capacity, with increases in CS activity (~50%), SDH activity (~40%), and Complex IV (~25%) and a decrease in blood lactate accumulation (p < 0.05).

In CVD, exercise is known to improve cardiomyocyte, muscle, and platelet mitochondrial biogenesis, the oxidative capacity, and the antioxidant capacity. In patients with chronic heart failure, a six–month exercise program improved the total volume density of mitochondria by 19% and the surface density of mitochondrial cristae by 43%. Exercise has also been shown to significantly improve OXPHOS in the platelets of patients with stroke and with peripheral artery disease. Furthermore, exercise was shown to inhibit the pathological mitochondrial remodeling in rats with myocardial infarction (MI) by improving mitochondrial fusion and decreasing mitochondrial fission. Furthermore, eight weeks of exercise post–MI improved the mitochondrial O2 consumption, bioenergetics, and oxidative capacity in mice.

Exercise can also improve the mitochondrial function and biogenesis in the brain as well as cognitive function, which opens an exciting door of opportunity to further understand the mechanisms behind the pathogenesis of AD and to improve the therapeutics against this disease. Therefore, we should stress the importance of physical activity not just for the prevention of T2D but possibly for mitigating the severity of and risks associated with AD as has already been shown in.

In aging, some studies have obtained promising results. Sustained endurance training over time is also quite effective at maintaining mitochondrial function and flexibility in aging populations. Dubé et al. showed that the muscle oxidative capacity, metabolic flexibility, and insulin sensitivity in older endurance–trained master athletes (average age, 65 years old) were similar to those of young recreational athletes (average age, 28 years old). Another recent study comparing the effects of exercise between elderly (average, 80 years old) and young (average age, 24 years old) cohorts found that 6 weeks of aerobic exercise increased CS activity by 31% in elderly individuals and by 45% in younger individuals. Complex I, II, III, and IV increased in both groups by between 51 and 163%. The study found that both elderly individuals and younger individuals have the capacity to improve their mitochondrial function after 6 weeks of aerobic training.

In summary, there are many studies demonstrating the benefits of exercise on mitochondrial function in many types of populations, including populations with chronic diseases. However, if we consider exercise to be a therapy that we can use to improve mitochondrial and metabolic function, it is essential to optimize and individualize the dose and duration of the exercise that is prescribed. Over the last decade, this is an area where we have gained a wealth of knowledge by working with elite athletes to whom prescribing the right training regime is key to improving athletic performance. Translating this knowledge to populations with chronic diseases is a challenge due to the lack of vertical and horizontal integration of medical systems, including clinicians, multiple providers, exercise specialists, and health care systems, with the proper means and infrastructures. However, all stakeholders should (must) be able to materialize this multidisciplinary partnership in order to achieve proper and individualized exercise prescription programs as exercise continues to be the most important intervention that is known to improve mitochondrial function, metabolic flexibility, and, thus, metabolic health.

8. Assessment of Mitochondrial and Metabolic Function in the Clinical Setting

Historically, the assessment of mitochondrial respiration and function has focused on the measurement of relevant oxidative enzymes involved in OXPHOS. CS and SDH have been traditionally used in multiple studies as surrogates for mitochondrial function and content. More modern technologies have been developed to measure mitochondrial respiration and substrate utilization in skeletal muscle through two predominant techniques: the Oroboros and Seahorse technologies. These modern techniques, as well as the traditional ones, require muscle biopsies or cell cultures, which are not feasible to obtain on a large scale in humans in order to assess mitochondrial function and respiration. Non–invasive techniques based on nuclear magnetic resonance (NMR) and magnetic resonance spectroscopy (MRS) techniques have become popular for research purposes as a valid way to assess mitochondrial respiration in vivo. However, the application of these new techniques to the general population would be very costly and infeasible.

Recently, we proposed a novel and simple methodology for indirectly measuring mitochondrial function and metabolic flexibility that can be performed on a large scale in an ambulatory manner. Our methodology is based on the combination of measuring fat oxidation through indirect calorimetry using stoichiometric equations and the measurement of blood lactate levels during exercise, both important mitochondrial substrates. The concept is similar to cardiology stress tests where the heart is stressed through exercise in order to measure its activity and detect pathologies. Through our methodology, we use similar protocols with incremental exercise stages in order to stress the mitochondrial capacity and detect changes in mitochondrial and muscle bioenergetics. As shown in Figure 3, during exercise, both fat oxidation and lactate are oxidized in mitochondria as they are important mitochondrial substrates. A decrease in fat oxidation capacity and an increase in blood lactate during exercise could indicate decreased mitochondrial function. We have recently applied this methodology to indirectly assess mitochondrial and metabolic function in long–COVID–19 patients (PASC) as described earlier and posteriorly confirm the results with metabolomics analyses. Furthermore, this methodology can be used to extract individual training zones in order to structure an individualized exercise program for a wide range of populations. Figure 4 shows an example of a person diagnosed with pre–T2D who, after one year of individualized endurance exercise, improved their lactate clearance capacity and fat oxidation significantly and was able to reverse pre–T2D.

As novel techniques arise, especially in the field of wearable biosensors, the possibilities for measuring mitochondrial function in a continuous form will become much more accurate and available to the general population as well as to clinicians. These soon–to–arrive advances in biometrics could be transformational in terms of monitoring an individual’s metabolic health status and prescribing individualized exercise programs destined, along with proper nutrition, to improve metabolic health.

9. Summary and Future Directions

Mitochondrial function is key in health and disease. Any effect on mitochondrial function can result in the disruption of cellular bioenergetics and the development of different pathologies. The etiology of the pathogenesis of mitochondrial disruption/impairment is diverse and multifaceted, although sedentarism seems to be a major factor. Skeletal muscle plays an instrumental role in mitochondrial function in both health and disease as it is the most bioenergetically active organ with the highest mitochondrial content. Although mitochondrial dysfunction has traditionally been linked to type 2 diabetes, it is also a hallmark of multiple diseases, including cardiovascular disease, cancer, and Alzheimer’s disease. A deeper understanding of the mechanisms behind mitochondrial function and the disruption of cellular bioenergetics in multiple diseases appears to be a major medical challenge in our history and would result in the discovery of novel biomarkers for earlier detection as well as targeted therapeutics.

In the meantime, exercise continues to be the only known stimulus for the maintenance and improvement of mitochondrial biogenesis and function. However, if exercise is prescribed as a therapeutic treatment to improve mitochondrial function (“exercise as medicine”), the correct exercise prescription will be key, as in any other therapy. In order to provide the right therapeutic benefits, individualization of the exercise prescription should be performed in order to target cellular and metabolic adaptations. This individualization of the exercise prescription has existed for decades in the world of sports performance and there are many lessons that have been learned from working with elite athletes that can be translated to exercise prescriptions for multiple populations. This task is a challenge as it involves the integration of multiple clinical providers, exercise specialists, and healthcare systems. However, this effort should be a priority in every society in order to improve our population’s health, decrease mortality rates, increase longevity, and decrease the unsustainable social and economic burden imposed by the non–communicable diseases that most countries in the world will face in the coming decades.

References 327

  1. 1.

    Wallace D.C. Bioenergetic origins of complexity and disease. Cold Spring Harb. Symp. Quant. Biol. 2011;76:1-16.

    Not in our library10.1101/sqb.2011.76.010462

  2. 2.

    Swerdlow R.H. Mitochondria and cell bioenergetics: Increasingly recognized components and a possible etiologic cause of Alzheimer’s disease. Antioxid. Redox Signal. 2012;16:1434-1455.

    Not in our library10.1089/ars.2011.4149

  3. 3.
  4. 4.

    Xu W., Koeck T., Lara A.R., Neumann D., DiFilippo F.P., Koo M., Janocha A.J., Masri F.A., Arroliga A.C., Jennings C. Alterations of cellular bioenergetics in pulmonary artery endothelial cells. Proc. Natl. Acad. Sci. USA. 2007;104:1342-1347.

    Not in our library10.1073/pnas.0605080104

  5. 5.

    Cuezva J.M., Krajewska M., de Heredia M.L., Krajewski S., Santamaría G., Kim H., Zapata J.M., Marusawa H., Chamorro M., Reed J.C. The bioenergetic signature of cancer: A marker of tumor progression. Cancer Res. 2002;62:6674-6681.

    Not in our library

  6. 6.

    Alam M.M., Lal S., FitzGerald K.E., Zhang L. A holistic view of cancer bioenergetics: Mitochondrial function and respiration play fundamental roles in the development and progression of diverse tumors. Clin. Transl. Med. 2016;5:3.

    Not in our library10.1186/s40169-016-0082-9

  7. 7.

    Sagan L. On the origin of mitosing cells. J. Biol. 1967;14:255-274.

    Not in our library10.1016/0022-5193(67)90079-3

  8. 8.

    Macovschi E. Biostructura. 1969;Volume 57.

    Not in our library

  9. 9.

    Drochioiu G. Biological Systems: A Structural–Phenomenological Approach; na. 2008.

    Not in our library

  10. 10.

    Murariu M., Drochioiu G. Biostructural theory of the living systems. Biosystems. 2012;109:126-132.

    Not in our library10.1016/j.biosystems.2012.02.006

  11. 11.

    Macovschi E. The confirmation of the biostructural theory by the high–voltage electron–microscopy. Rev. Roum. Biochim. 1982;19:177-186.

    Not in our library

  12. 12.
  13. 13.

    Kirkwood S.P., Munn E.A., Brooks G.A. Mitochondrial reticulum in limb skeletal muscle. Am. J. Physiol. 1986;251:C395-C402.

    Not in our library10.1152/ajpcell.1986.251.3.c395

  14. 14.

    Brooks G.A. The Science and Translation of Lactate Shuttle Theory. Cell Metab. 2018;27:757-785.

    Not in our library10.1016/j.cmet.2018.03.008

  15. 15.

    Bassett D.R., Howley E.T. Limiting factors for maximum oxygen uptake and determinants of endurance performance. Med. Sci. Sport. Exerc. 2000;32:70-84.

    Not in our library10.1097/00005768-200001000-00012

  16. 16.

    Foster D.W. Malonyl–CoA: The regulator of fatty acid synthesis and oxidation. J. Clin. Investig. 2012;122:1958-1959.

    Not in our library10.1172/jci63967

  17. 17.

    Brooks G.A. The tortuous path of lactate shuttle discovery: From cinders and boards to the lab and ICU. J. Sport. Health Sci. 2020;9:446-460.

    Not in our library10.1016/j.jshs.2020.02.006

  18. 18.

    Hashimoto T., Hussien R., Brooks G.A. Colocalization of MCT1, CD147, and LDH in mitochondrial inner membrane of L6 muscle cells: Evidence of a mitochondrial lactate oxidation complex. Am. J. Physiol. Endocrinol. Metab. 2006;290:E1237-E1244.

    Not in our library10.1152/ajpendo.00594.2005

  19. 19.
  20. 20.

    Lombardi A.M., Fabris R., Bassetto F., Serra R., Leturque A., Federspil G., Girard J., Vettor R. Hyperlactatemia reduces muscle glucose uptake and GLUT–4 mRNA while increasing (E1α)PDH gene expression in rat. Am. J. Physiol.–Endocrinol. Metab. 1999;276:E922-E929.

    Not in our library10.1152/ajpendo.1999.276.5.e922

  21. 21.

    Cai T.Q., Ren N., Jin L., Cheng K., Kash S., Chen R., Wright S.D., Taggart A.K., Waters M.G. Role of GPR81 in lactate–mediated reduction of adipose lipolysis. Biochem. Biophys. Res. Commun. 2008;377:987-991.

    Not in our library10.1016/j.bbrc.2008.10.088

  22. 22.

    Liu C., Wu J., Zhu J., Kuei C., Yu J., Shelton J., Sutton S.W., Li X., Yun S.J., Mirzadegan T., et al. Lactate inhibits lipolysis in fat cells through activation of an orphan G–protein–coupled receptor, GPR81. J. Biol. Chem. 2009;284:2811-2822.

    Not in our library10.1074/jbc.m806409200

  23. 23.
  24. 24.

    San–Millan I., Brooks G.A. Assessment of Metabolic Flexibility by Means of Measuring Blood Lactate, Fat, and Carbohydrate Oxidation Responses to Exercise in Professional Endurance Athletes and Less–Fit Individuals. Sport. Med. 2018;48:467-479.

    Not in our library10.1007/s40279-017-0751-x

  25. 25.

    Goodpaster B.H., Sparks L.M. Metabolic Flexibility in Health and Disease. Cell Metab. 2017;25:1027-1036.

    Not in our library10.1016/j.cmet.2017.04.015

  26. 26.

    Harris J.A., Benedict F.G. A Biometric Study of Human Basal Metabolism. Proc. Natl. Acad. Sci. USA. 1918;4:370-373.

    Not in our library10.1073/pnas.4.12.370

  27. 27.

    Harris J.A.B., Benedict F.G. Biometric Standards for Energy Requirements in Human Nutrition. Sci. Mon. 1919;8:385-402.

    Not in our library

  28. 28.

    Benedict F.G. Vital Energetics: A Study in Comparative Basal Metabolism. J. Am. Med. Assoc. 1939;112:2089.

    Not in our library10.1001/jama.1939.02800200087036

  29. 29.

    Kelley D.E., Goodpaster B., Wing R.R., Simoneau J.A. Skeletal muscle fatty acid metabolism in association with insulin resistance, obesity, and weight loss. Am. J. Physiol. 1999;277:E1130-E1141.

    Not in our library10.1152/ajpendo.1999.277.6.e1130

  30. 30.

    Kelley D.E., Simoneau J.A. Impaired free fatty acid utilization by skeletal muscle in non–insulin–dependent diabetes mellitus. J. Clin. Investig. 1994;94:2349-2356.

    Not in our library10.1172/jci117600

  31. 31.

    Kelley D.E., Mokan M., Simoneau J.A., Mandarino L.J. Interaction between glucose and free fatty acid metabolism in human skeletal muscle. J. Clin. Investig. 1993;92:91-98.

    Not in our library10.1172/jci116603

  32. 32.

    Kelley D.E., Mandarino L.J. Fuel selection in human skeletal muscle in insulin resistance: A reexamination. Diabetes. 2000;49:677-683.

    Not in our library10.2337/diabetes.49.5.677

  33. 33.

    DeFronzo R.A., Jacot E., Jequier E., Maeder E., Wahren J., Felber J.P. The Effect of Insulin on the Disposal of Intravenous Glucose: Results from Indirect Calorimetry and Hepatic and Femoral Venous Catheterization. Diabetes. 1981;30:1000-1007.

    Not in our library10.2337/diab.30.12.1000

  34. 34.

    Murphy M.P. How mitochondria produce reactive oxygen species. Biochem. J. 2009;417:1-13.

    Not in our library10.1042/bj20081386

  35. 35.

    Bhatti J.S., Bhatti G.K., Reddy P.H. Mitochondrial dysfunction and oxidative stress in metabolic disorders—A step towards mitochondria based therapeutic strategies. Biochim. Biophys. Acta Mol. Basis Dis. 2017;1863:1066-1077.

    Not in our library10.1016/j.bbadis.2016.11.010

  36. 36.

    Wang W., Gong G., Wang X., Wei–LaPierre L., Cheng H., Dirksen R., Sheu S.S. Mitochondrial Flash: Integrative Reactive Oxygen Species and pH Signals in Cell and Organelle Biology. Antioxid. Redox Signal. 2016;25:534-549.

    Not in our library10.1089/ars.2016.6739

  37. 37.

    Han D., Canali R., Rettori D., Kaplowitz N. Effect of glutathione depletion on sites and topology of superoxide and hydrogen peroxide production in mitochondria. Mol. Pharmacol. 2003;64:1136-1144.

    Not in our library10.1124/mol.64.5.1136

  38. 38.

    Liu Y., Fiskum G., Schubert D. Generation of reactive oxygen species by the mitochondrial electron transport chain. J. Neurochem. 2002;80:780-787.

    Not in our library10.1046/j.0022-3042.2002.00744.x

  39. 39.

    Sies H., Jones D.P. Reactive oxygen species (ROS) as pleiotropic physiological signalling agents. Nat. Rev. Mol. Cell Biol. 2020;21:363-383.

    Not in our library10.1038/s41580-020-0230-3

  40. 40.

    Sies H., Berndt C., Jones D.P. Oxidative Stress. Annu. Rev. Biochem. 2017;86:715-748.

    Not in our library10.1146/annurev-biochem-061516-045037

  41. 41.

    Jones D.P., Sies H. The redox code. Antioxid. Redox Signal. 2015;23:734-746.

    Not in our library10.1089/ars.2015.6247

  42. 42.

    Zhang L., Wang X., Cueto R., Effi C., Zhang Y., Tan H., Qin X., Ji Y., Yang X., Wang H. Biochemical basis and metabolic interplay of redox regulation. Redox Biol. 2019;26:101284.

    Not in our library10.1016/j.redox.2019.101284

  43. 43.
  44. 44.
  45. 45.

    Ristow M., Schmeisser K. Mitohormesis: Promoting Health and Lifespan by Increased Levels of Reactive Oxygen Species (ROS). Dose Response. 2014;12:288-341.

    Not in our library10.2203/dose-response.13-035.ristow

  46. 46.
  47. 47.

    Ristow M. Unraveling the Truth About Antioxidants: Mitohormesis explains ROS–induced health benefits. Nat. Med. 2014;20:709-711.

    Not in our library10.1038/nm.3624

  48. 48.

    Yun J., Finkel T. Mitohormesis. Cell Metab. 2014;19:757-766.

    Not in our library10.1016/j.cmet.2014.01.011

  49. 49.

    Blake R., Trounce I.A. Mitochondrial dysfunction and complications associated with diabetes. Biochim. Et. Biophys. Acta (BBA)–Gen. Subj. 2014;1840:1404-1412.

    Not in our library10.1016/j.bbagen.2013.11.007

  50. 50.

    Roberts C.K., Sindhu K.K. Oxidative stress and metabolic syndrome. Life Sci. 2009;84:705-712.

    Not in our library10.1016/j.lfs.2009.02.026

  51. 51.

    Kowaltowski A.J., de Souza–Pinto N.C., Castilho R.F., Vercesi A.E. Mitochondria and reactive oxygen species. Free. Radic. Biol. Med. 2009;47:333-343.

    Not in our library10.1016/j.freeradbiomed.2009.05.004

  52. 52.

    Dhalla N.S., Temsah R.M., Netticadan T. Role of oxidative stress in cardiovascular diseases. J. Hypertens. 2000;18:655-673.

    Not in our library10.1097/00004872-200018060-00002

  53. 53.

    Jenner P. Oxidative stress in Parkinson’s disease. Ann. Neurol. Off. J. Am. Neurol. Assoc. Child. Neurol. Soc. 2003;53:S26-S38.

    Not in our library10.1002/ana.10483

  54. 54.
  55. 55.
  56. 56.

    Park K., Gross M., Lee D.-H., Holvoet P., Himes J.H., Shikany J.M., Jacobs D.R. Oxidative stress and insulin resistance: The coronary artery risk development in young adults study. Diabetes Care. 2009;32:1302-1307.

    Not in our library10.2337/dc09-0259

  57. 57.
  58. 58.

    Sivitz W.I., Yorek M.A. Mitochondrial dysfunction in diabetes: From molecular mechanisms to functional significance and therapeutic opportunities. Antioxid. Redox Signal. 2010;12:537-577.

    Not in our library10.1089/ars.2009.2531

  59. 59.

    Hu F., Liu F. Mitochondrial stress: A bridge between mitochondrial dysfunction and metabolic diseases? Cell Signal. 2011;23:1528-1533.

    Not in our library10.1016/j.cellsig.2011.05.008

  60. 60.

    Harman D. The biologic clock: The mitochondria? J. Am. Geriatr. Soc. 1972;20:145-147.

    Not in our library10.1111/j.1532-5415.1972.tb00787.x

  61. 61.

    Glushakova L.G., Judge S., Cruz A., Pourang D., Mathews C.E., Stacpoole P.W. Increased superoxide accumulation in pyruvate dehydrogenase complex deficient fibroblasts. Mol. Genet. Metab. 2011;104:255-260.

    Not in our library10.1016/j.ymgme.2011.07.023

  62. 62.
  63. 63.

    Babbar N., Casero R.A. Tumor necrosis factor–alpha increases reactive oxygen species by inducing spermine oxidase in human lung epithelial cells: A potential mechanism for inflammation–induced carcinogenesis. Cancer Res. 2006;66:11125-11130.

    Not in our library10.1158/0008-5472.can-06-3174

  64. 64.

    Pieczenik S.R., Neustadt J. Mitochondrial dysfunction and molecular pathways of disease. Exp. Mol. Pathol. 2007;83:84-92.

    Not in our library10.1016/j.yexmp.2006.09.008

  65. 65.

    Sanfeliu C., Sebastià J., Kim S.U. Methylmercury neurotoxicity in cultures of human neurons, astrocytes, neuroblastoma cells. Neurotoxicology. 2001;22:317-327.

    Not in our library10.1016/s0161-813x(01)00015-8

  66. 66.

    Atamna H., Liu J., Ames B.N. Heme deficiency selectively interrupts assembly of mitochondrial complex IV in human fibroblasts: Relevance to aging. J. Biol. Chem. 2001;276:48410-48416.

    Not in our library10.1074/jbc.m108362200

  67. 67.
  68. 68.
  69. 69.

    Rusecka J., Kaliszewska M., Bartnik E., Tońska K. Nuclear genes involved in mitochondrial diseases caused by instability of mitochondrial DNA. J. Appl. Genet. 2018;59:43-57.

    Not in our library10.1007/s13353-017-0424-3

  70. 70.
  71. 71.
  72. 72.

    Chicco A.J., Sparagna G.C. Role of cardiolipin alterations in mitochondrial dysfunction and disease. Am. J. Physiol. Cell Physiol. 2007;292:C33-C44.

    Not in our library10.1152/ajpcell.00243.2006

  73. 73.

    Chatfield K.C., Sparagna G.C., Specht K.S., Whitcomb L.A., Omar A.K., Miyamoto S.D., Wolfe L.M., Chicco A.J. Long—Chain fatty acid oxidation and respiratory complex I deficiencies distinguish Barth Syndrome from idiopathic pediatric cardiomyopathy. J. Inherit. Metab. Dis. 2022;45:111-124.

    Not in our library10.1002/jimd.12459

  74. 74.
    Barth syndrome · 2013
    No notice
  75. 75.

    Le C.H., Benage L.G., Specht K.S., Li Puma L.C., Mulligan C.M., Heuberger A.L., Prenni J.E., Claypool S.M., Chatfield K.C., Sparagna G.C., et al. Tafazzin deficiency impairs CoA–dependent oxidative metabolism in cardiac mitochondria. J. Biol. Chem. 2020;295:12485-12497.

    Not in our library10.1074/jbc.ra119.011229

  76. 76.

    Verma M., Kagan J., Sidransky D., Srivastava S. Proteomic analysis of cancer–cell mitochondria. Nat. Rev. Cancer. 2003;3:789-795.

    Not in our library10.1038/nrc1192

  77. 77.

    Alonso A., Martin P., Albarran C., Aguilera B., Garcia O., Guzman A., Oliva H., Sancho M. Detection of somatic mutations in the mitochondrial DNA control region of colorectal and gastric tumors by heteroduplex and single—Strand conformation analysis. Electrophoresis. 1997;18:682-685.

    Not in our library10.1002/elps.1150180504

  78. 78.

    Anderson L., Seilhamer J. A comparison of selected mRNA and protein abundances in human liver. Electrophoresis. 1997;18:533-537.

    Not in our library10.1002/elps.1150180333

  79. 79.

    Polyak K., Li Y., Zhu H., Lengauer C., Willson J.K., Markowitz S.D., Trush M.A., Kinzler K.W., Vogelstein B. Somatic mutations of the mitochondrial genome in human colorectal tumours. Nat. Genet. 1998;20:291-293.

    Not in our library10.1038/3108

  80. 80.

    Lee H.-C., Huang K.-H., Yeh T.-S., Chi C.-W. Somatic alterations in mitochondrial DNA and mitochondrial dysfunction in gastric cancer progression. World J. Gastroenterol. 2014;20:3950.

    Not in our library10.3748/wjg.v20.i14.3950

  81. 81.

    Warburg O., Minami S. Versuche an Überlebendem Carcinom–gewebe. Klin. Wochenschr. 1923;2:776-777.

    Not in our library10.1007/bf01712130

  82. 82.

    Short K.R., Bigelow M.L., Kahl J., Singh R., Coenen–Schimke J., Raghavakaimal S., Nair K.S. Decline in skeletal muscle mitochondrial function with aging in humans. Proc. Natl. Acad. Sci. USA. 2005;102:5618-5623.

    Not in our library10.1073/pnas.0501559102

  83. 83.

    Sun N., Youle R.J., Finkel T. The Mitochondrial Basis of Aging. Mol. Cell. 2016;61:654-666.

    Not in our library10.1016/j.molcel.2016.01.028

  84. 84.

    Jang J.Y., Blum A., Liu J., Finkel T. The role of mitochondria in aging. J. Clin. Investig. 2018;128:3662-3670.

    Not in our library10.1172/jci120842

  85. 85.

    Bratic A., Larsson N.-G. The role of mitochondria in aging. J. Clin. Investig. 2013;123:951-957.

    Not in our library10.1172/jci64125

  86. 86.

    Gonzalez–Freire M., De Cabo R., Bernier M., Sollott S.J., Fabbri E., Navas P., Ferrucci L. Reconsidering the role of mitochondria in aging. J. Gerontol. Ser. A Biomed. Sci. Med. Sci. 2015;70:1334-1342.

    Not in our library10.1093/gerona/glv070

  87. 87.

    Hebert S.L., Marquet–de Rougé P., Lanza I.R., McCrady–Spitzer S.K., Levine J.A., Middha S., Carter R.E., Klaus K.A., Therneau T.M., Highsmith E.W. Mitochondrial aging and physical decline: Insights from three generations of women. J. Gerontol. Ser. A Biomed. Sci. Med. Sci. 2015;70:1409-1417.

    Not in our library10.1093/gerona/glv086

  88. 88.

    Wallace D.C. A mitochondrial paradigm of metabolic and degenerative diseases, aging, and cancer: A dawn for evolutionary medicine. Annu. Rev. Genet. 2005;39:359-407.

    Not in our library10.1146/annurev.genet.39.110304.095751

  89. 89.

    Carter H.N., Pauly M., Tryon L.D., Hood D.A. Effect of contractile activity on PGC–1alpha transcription in young and aged skeletal muscle. J. Appl. Physiol. 2018;124:1605-1615.

    Not in our library10.1152/japplphysiol.01110.2017

  90. 90.

    Hagenbuchner J., Kuznetsov A., Obexer P., Ausserlechner M. BIRC5/Survivin enhances aerobic glycolysis and drug resistance by altered regulation of the mitochondrial fusion/fission machinery. Oncogene. 2013;32:4748-4757.

    Not in our library10.1038/onc.2012.500

  91. 91.

    Rossin F., D’eletto M., Falasca L., Sepe S., Cocco S., Fimia G., Campanella M., Mastroberardino P., Farrace M., Piacentini M. Transglutaminase 2 ablation leads to mitophagy impairment associated with a metabolic shift towards aerobic glycolysis. Cell Death Differ. 2015;22:408-418.

    Not in our library10.1038/cdd.2014.106

  92. 92.

    Arnheim N., Cortopassi G. Deleterious mitochondrial DNA mutations accumulate in aging human tissues. Mutat. Res./DNAging. 1992;275:157-167.

    Not in our library10.1016/0921-8734(92)90020-p

  93. 93.

    Raule N., Sevini F., Li S., Barbieri A., Tallaro F., Lomartire L., Vianello D., Montesanto A., Moilanen J.S., Bezrukov V., et al. The co–occurrence of mtDNA mutations on different oxidative phosphorylation subunits, not detected by haplogroup analysis, affects human longevity and is population specific. Aging Cell. 2014;13:401-407.

    Not in our library10.1111/acel.12186

  94. 94.

    Sevini F., Giuliani C., Vianello D., Giampieri E., Santoro A., Biondi F., Garagnani P., Passarino G., Luiselli D., Capri M. mtDNA mutations in human aging and longevity: Controversies and new perspectives opened by high–throughput technologies. Exp. Gerontol. 2014;56:234-244.

    Not in our library10.1016/j.exger.2014.03.022

  95. 95.
  96. 96.

    Harman D. Aging: A theory based on free radical and radiation chemistry. J. Gerontol. 1956;11:298-300.

    Not in our library10.1093/geronj/11.3.298

  97. 97.
  98. 98.

    Stefanatos R., Sanz A. The role of mitochondrial ROS in the aging brain. FEBS Lett. 2018;592:743-758.

    Not in our library10.1002/1873-3468.12902

  99. 99.

    Monlun M., Hyernard C., Blanco P., Lartigue L., Faustin B. Mitochondria as Molecular Platforms Integrating Multiple Innate Immune Signalings. J. Mol. Biol. 2017;429:1-13.

    Not in our library10.1016/j.jmb.2016.10.028

  100. 100.
  101. 101.
  102. 102.
  103. 103.

    Yoshizumi T., Ichinohe T., Sasaki O., Otera H., Kawabata S.-I., Mihara K., Koshiba T. Influenza A virus protein PB1–F2 translocates into mitochondria via Tom40 channels and impairs innate immunity. Nat. Commun. 2014;5:4713.

    Not in our library10.1038/ncomms5713

  104. 104.

    Gatti P., Ilamathi H.S., Todkar K., Germain M. Mitochondria Targeted Viral Replication and Survival Strategies—Prospective on SARS-CoV-2. Front. Pharmacol. 2020;11:578599.

    Not in our library10.3389/fphar.2020.578599

  105. 105.
  106. 106.

    de Boer E., Petrache I., Goldstein N.M., Olin J.T., Keith R.C., Modena B., Mohning M.P., Yunt Z.X., San–Millán I., Swigris J.J. Decreased Fatty Oxidation and Altered Lactate Production During Exercise in Post–Acute COVID–19 Patients. Am. J. Respir. Crit. Care Med. 2021;205:126-129.

    Not in our library10.1164/rccm.202108-1903le

  107. 107.
  108. 108.

    Singer M. The role of mitochondrial dysfunction in sepsis–induced multi–organ failure. Virulence. 2014;5:66-72.

    Not in our library10.4161/viru.26907

  109. 109.

    Rahmel T., Marko B., Nowak H., Bergmann L., Thon P., Rump K., Kreimendahl S., Rassow J., Peters J., Singer M., et al. Mitochondrial dysfunction in sepsis is associated with diminished intramitochondrial TFAM despite its increased cellular expression. Sci. Rep. 2020;10:21029.

    Not in our library10.1038/s41598-020-78195-4

  110. 110.

    Gornik I., Vujaklija A., Lukić E., Madžarac G., Gašparović V. Hyperglycemia in sepsis is a risk factor for development of type II diabetes. J. Crit. Care. 2010;25:263-269.

    Not in our library10.1016/j.jcrc.2009.10.002

  111. 111.

    Mankowski R.T., Yende S., Angus D.C. Long–term impact of sepsis on cardiovascular health. Intensive Care Med. 2019;45:78-81.

    Not in our library10.1007/s00134-018-5173-1

  112. 112.

    Ahmed H.M., Blaha M.J., Nasir K., Rivera J.J., Blumenthal R.S. Effects of physical activity on cardiovascular disease. Am. J. Cardiol. 2012;109:288-295.

    Not in our library10.1016/j.amjcard.2011.08.042

  113. 113.

    Durstine J.L., Gordon B., Wang Z., Luo X. Chronic disease and the link to physical activity. J. Sport. Health Sci. 2013;2:3-11.

    Not in our library10.1016/j.jshs.2012.07.009

  114. 114.

    Powell K.E., Thompson P.D., Caspersen C.J., Kendrick J.S. Physical activity and the incidence of coronary heart disease. Annu. Rev. Public. Health. 1987;8:253-287.

    Not in our library10.1146/annurev.pu.08.050187.001345

  115. 115.

    Kohl H. Physical activity and cardiovascular disease: Evidence for a dose response. Med. Sci. Sport. Exerc. 2001;33:S472-S483.

    Not in our library10.1097/00005768-200106001-00017

  116. 116.

    Chen H., Zhang S., Schwarzschild M., Hernan M., Ascherio A. Physical activity and the risk of Parkinson disease. Neurology. 2005;64:664-669.

    Not in our library10.1212/01.wnl.0000151960.28687.93

  117. 117.

    Berlin J.A., Colditz G.A. A meta–analysis of physical activity in the prevention of coronary heart disease. Am. J. Epidemiol. 1990;132:612-628.

    Not in our library10.1093/oxfordjournals.aje.a115704

  118. 118.

    Colberg S.R., Sigal R.J., Yardley J.E., Riddell M.C., Dunstan D.W., Dempsey P.C., Horton E.S., Castorino K., Tate D.F. Physical activity/exercise and diabetes: A position statement of the American Diabetes Association. Diabetes Care. 2016;39:2065-2079.

    Not in our library10.2337/dc16-1728

  119. 119.

    LaMonte M.J., Blair S.N., Church T.S. Physical activity and diabetes prevention. J. Appl. Physiol. 2005;99:1205-1213.

    Not in our library10.1152/japplphysiol.00193.2005

  120. 120.

    Grill S., Yahiaoui–Doktor M., Dukatz R., Lammert J., Ullrich M., Engel C., Pfeifer K., Basrai M., Siniatchkin M., Schmidt T. Smoking and physical inactivity increase cancer prevalence in BRCA–1 and BRCA–2 mutation carriers: Results from a retrospective observational analysis. Arch. Gynecol. Obstet. 2017;296:1135-1144.

    Not in our library10.1007/s00404-017-4546-y

  121. 121.

    McTiernan A., Friedenreich C.M., Katzmarzyk P.T., Powell K.E., Macko R., Buchner D., Pescatello L.S., Bloodgood B., Tennant B., Vaux–Bjerke A. Physical activity in cancer prevention and survival: A systematic review. Med. Sci. Sport. Exerc. 2019;51:1252.

    Not in our library10.1249/mss.0000000000001937

  122. 122.
  123. 123.

    Rolland Y., van Kan G.A., Vellas B. Physical activity and Alzheimer’s disease: From prevention to therapeutic perspectives. J. Am. Med. Dir. Assoc. 2008;9:390-405.

    Not in our library10.1016/j.jamda.2008.02.007

  124. 124.

    Santos–Lozano A., Pareja–Galeano H., Sanchis–Gomar F., Quindós–Rubial M., Fiuza–Luces C., Cristi–Montero C., Emanuele E., Garatachea N., Lucia A. Physical activity and Alzheimer disease: A protective association. Mayo Clinic Proceedings. 2016;Volume 91:999-1020.

    Not in our library10.1016/j.mayocp.2016.04.024

  125. 125.

    Stephen R., Hongisto K., Solomon A., Lönnroos E. Physical activity and Alzheimer’s disease: A systematic review. J. Gerontol. Ser. A. 2017;72:733-739.

    Not in our library10.1093/gerona/glw251

  126. 126.

    Blair S.N. Physical inactivity: The biggest public health problem of the 21st century. Br. J. Sport. Med. 2009;43:1-2.

    Not in our library

  127. 127.

    Houston M.E., Bentzen H., Larsen H. Interrelationships between skeletal muscle adaptations and performance as studied by detraining and retraining. Acta Physiol. Scand. 1979;105:163-170.

    Not in our library10.1111/j.1748-1716.1979.tb06328.x

  128. 128.

    Coyle E.F., Martin W.H., Bloomfield S.A., Lowry O.H., Holloszy J.O. Effects of detraining on responses to submaximal exercise. J. Appl. Physiol. 1985;59:853-859.

    Not in our library10.1152/jappl.1985.59.3.853

  129. 129.

    Fritzen A.M., Thøgersen F.B., Thybo K., Vissing C.R., Krag T.O., Ruiz–Ruiz C., Risom L., Wibrand F., Høeg L.D., Kiens B., et al. Adaptations in Mitochondrial Enzymatic Activity Occurs Independent of Genomic Dosage in Response to Aerobic Exercise Training and Deconditioning in Human Skeletal Muscle. Cells. 2019;8:237.

    Not in our library10.3390/cells8030237

  130. 130.

    Houmard J.A., Hortobágyi T., Johns R.A., Bruno N.J., Nute C.C., Shinebarger M.H., Welborn J.W. Effect of short–term training cessation on performance measures in distance runners. Int. J. Sport. Med. 1992;13:572-576.

    Not in our library10.1055/s-2007-1024567

  131. 131.

    Bergouignan A., Rudwill F., Simon C., Blanc S. Physical inactivity as the culprit of metabolic inflexibility: Evidence from bed–rest studies. J. Appl. Physiol. 2011;111:1201-1210.

    Not in our library10.1152/japplphysiol.00698.2011

  132. 132.

    Rudwill F., O’Gorman D., Lefai E., Chery I., Zahariev A., Normand S., Pagano A.F., Chopard A., Damiot A., Laurens C., et al. Metabolic Inflexibility Is an Early Marker of Bed–Rest–Induced Glucose Intolerance Even When Fat Mass Is Stable. J. Clin. Endocrinol. Metab. 2018;103:1910-1920.

    Not in our library10.1210/jc.2017-02267

  133. 133.

    Alibegovic A.C., Sonne M.P., Højbjerre L., Bork–Jensen J., Jacobsen S., Nilsson E., Færch K., Hiscock N., Mortensen B., Friedrichsen M. Insulin resistance induced by physical inactivity is associated with multiple transcriptional changes in skeletal muscle in young men. Am. J. Physiol.–Endocrinol. Metab. 2010;299:E752-E763.

    Not in our library10.1152/ajpendo.00590.2009

  134. 134.

    Bergouignan A., Schoeller D.A., Normand S., Gauquelin–Koch G., Laville M., Shriver T., Desage M., Maho Y.L., Ohshima H., Gharib C. Effect of physical inactivity on the oxidation of saturated and monounsaturated dietary fatty acids: Results of a randomized trial. PLoS Clin. Trials. 2006;1:e27.

    Not in our library10.1371/journal.pctr.0010027

  135. 135.

    Lutwak L., Whedon G.D. The effect of physical conditioning on glucose tolerance. Clin. Res. 1959;7:143.

    Not in our library

  136. 136.

    Dolkas C., Greenleaf J. Insulin and glucose responses during bed rest with isotonic and isometric exercise. J. Appl. Physiol. 1977;43:1033-1038.

    Not in our library10.1152/jappl.1977.43.6.1033

  137. 137.

    Hamburg N.M., McMackin C.J., Huang A.L., Shenouda S.M., Widlansky M.E., Schulz E., Gokce N., Ruderman N.B., Keaney J.F., Vita J.A. Physical inactivity rapidly induces insulin resistance and microvascular dysfunction in healthy volunteers. Arterioscler. Thromb. Vasc. Biol. 2007;27:2650-2656.

    Not in our library10.1161/atvbaha.107.153288

  138. 138.

    Mikines K.J., Richter E.A., Dela F., Galbo H. Seven days of bed rest decrease insulin action on glucose uptake in leg and whole body. J. Appl. Physiol. 1991;70:1245-1254.

    Not in our library10.1152/jappl.1991.70.3.1245

  139. 139.

    Stuart C.A., Shangraw R.E., Prince M.J., Peters E.J., Wolfe R.R. Bed–rest–induced insulin resistance occurs primarily in muscle. Metabolism. 1988;37:802-806.

    Not in our library10.1016/0026-0495(88)90018-2

  140. 140.

    Menke A., Casagrande S., Geiss L., Cowie C.C. Prevalence of and Trends in Diabetes Among Adults in the United States, 1988–2012. JAMA. 2015;314:1021-1029.

    Not in our library10.1001/jama.2015.10029

  141. 141.

    Yuan H., Li X., Wan G., Sun L., Zhu X., Che F., Yang Z. Type 2 diabetes epidemic in East Asia: A 35–year systematic trend analysis. Oncotarget. 2017;9:6718-6727.

    Not in our library10.18632/oncotarget.22961

  142. 142.

    Tamayo T., Rosenbauer J., Wild S.H., Spijkerman A.M., Baan C., Forouhi N.G., Herder C., Rathmann W. Diabetes in Europe: An update. Diabetes Res. Clin. Pr. 2014;103:206-217.

    Not in our library10.1016/j.diabres.2013.11.007

  143. 143.

    Arnold Domínguez Y., González Hernández O., Martínez Vázquez N., Formental Hidalgo B.I., de Lourdes Arnold Alfonso M., González Calero T.M., Conesa González A.I. Incidencia de la diabetes mellitus en Cuba, según tipo, en menores de 18 años de edad. Rev. Cuba. Endocrinol. 2017;28:1-19.

    Not in our library

  144. 144.

    Sulaiman N., Mahmoud I., Hussein A., Elbadawi S., Abusnana S., Zimmet P., Shaw J. Diabetes risk score in the United Arab Emirates: A screening tool for the early detection of type 2 diabetes mellitus. BMJ Open. Diabetes Res. Care. 2018;6:e000489.

    Not in our library10.1136/bmjdrc-2017-000489

  145. 145.

    Sangwung P., Petersen K.F., Shulman G.I., Knowles J.W. Mitochondrial Dysfunction, Insulin Resistance, and Potential Genetic Implications. Endocrinology. 2020;161:bqaa017.

    Not in our library10.1210/endocr/bqaa017

  146. 146.
  147. 147.

    Szendroedi J., Phielix E., Roden M. The role of mitochondria in insulin resistance and type 2 diabetes mellitus. Nat. Rev. Endocrinol. 2012;8:92-103.

    Not in our library10.1038/nrendo.2011.138

  148. 148.

    Turner N., Heilbronn L.K. Is mitochondrial dysfunction a cause of insulin resistance? Trends Endocrinol. Metab. 2008;19:324-330.

    Not in our library10.1016/j.tem.2008.08.001

  149. 149.

    Petersen K.F., Befroy D., Dufour S., Dziura J., Ariyan C., Rothman D.L., DiPietro L., Cline G.W., Shulman G.I. Mitochondrial dysfunction in the elderly: Possible role in insulin resistance. Science. 2003;300:1140-1142.

    Not in our library10.1126/science.1082889

  150. 150.

    Gonzalez–Franquesa A., Patti M.-E., Santulli G. Insulin Resistance and Mitochondrial Dysfunction. Mitochondrial Dynamics in Cardiovascular Medicine. 2017;465-520.

    Not in our library10.1007/978-3-319-55330-6_25

  151. 151.

    Chomentowski P., Coen P.M., Radikova Z., Goodpaster B.H., Toledo F.G. Skeletal muscle mitochondria in insulin resistance: Differences in intermyofibrillar versus subsarcolemmal subpopulations and relationship to metabolic flexibility. J. Clin. Endocrinol. Metab. 2011;96:494-503.

    Not in our library10.1210/jc.2010-0822

  152. 152.

    Ritov V.B., Menshikova E.V., He J., Ferrell R.E., Goodpaster B.H., Kelley D.E. Deficiency of subsarcolemmal mitochondria in obesity and type 2 diabetes. Diabetes. 2005;54:8-14.

    Not in our library10.2337/diabetes.54.1.8

  153. 153.

    Kelley D.E., He J., Menshikova E.V., Ritov V.B. Dysfunction of mitochondria in human skeletal muscle in type 2 diabetes. Diabetes. 2002;51:2944-2950.

    Not in our library10.2337/diabetes.51.10.2944

  154. 154.

    Asmann Y.W., Stump C.S., Short K.R., Coenen–Schimke J.M., Guo Z., Bigelow M.L., Nair K.S. Skeletal muscle mitochondrial functions, mitochondrial DNA copy numbers, and gene transcript profiles in type 2 diabetic and nondiabetic subjects at equal levels of low or high insulin and euglycemia. Diabetes. 2006;55:3309-3319.

    Not in our library10.2337/db05-1230

  155. 155.

    Patti M.E., Butte A.J., Crunkhorn S., Cusi K., Berria R., Kashyap S., Miyazaki Y., Kohane I., Costello M., Saccone R. Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role of PGC1 and NRF1. Proc. Natl. Acad. Sci. USA. 2003;100:8466-8471.

    Not in our library10.1073/pnas.1032913100

  156. 156.

    Boushel R., Gnaiger E., Schjerling P., Skovbro M., Kraunsøe R., Dela F. Patients with type 2 diabetes have normal mitochondrial function in skeletal muscle. Diabetologia. 2007;50:790-796.

    Not in our library10.1007/s00125-007-0594-3

  157. 157.

    Kim J.A., Wei Y., Sowers J.R. Role of mitochondrial dysfunction in insulin resistance. Circ. Res. 2008;102:401-414.

    Not in our library10.1161/circresaha.107.165472

  158. 158.

    Lowell B.B., Shulman G.I. Mitochondrial dysfunction and type 2 diabetes. Science. 2005;307:384-387.

    Not in our library10.1126/science.1104343

  159. 159.

    Abdul–Ghani M.A., DeFronzo R.A. Mitochondrial dysfunction, insulin resistance, and type 2 diabetes mellitus. Curr. Diabetes Rep. 2008;8:173-178.

    Not in our library10.1007/s11892-008-0030-1

  160. 160.

    Schrauwen–Hinderling V., Kooi M., Hesselink M., Jeneson J., Backes W., Van Echteld C., Van Engelshoven J., Mensink M., Schrauwen P. Impaired in vivo mitochondrial function but similar intramyocellular lipid content in patients with type 2 diabetes mellitus and BMI–matched control subjects. Diabetologia. 2007;50:113-120.

    Not in our library10.1007/s00125-006-0475-1

  161. 161.

    Blaak E.E., van Aggel–Leijssen D.P., Wagenmakers A.J., Saris W.H., van Baak M.A. Impaired oxidation of plasma–derived fatty acids in type 2 diabetic subjects during moderate–intensity exercise. Diabetes. 2000;49:2102-2107.

    Not in our library10.2337/diabetes.49.12.2102

  162. 162.

    McGarry J.D. Banting lecture 2001: Dysregulation of fatty acid metabolism in the etiology of type 2 diabetes. Diabetes. 2002;51:7-18.

    Not in our library10.2337/diabetes.51.1.7

  163. 163.

    Kelley D.E. Skeletal muscle fat oxidation: Timing and flexibility are everything. J. Clin. Invest. 2005;115:1699-1702.

    Not in our library10.1172/jci25758

  164. 164.

    Amati F., Dubé J.J., Alvarez–Carnero E., Edreira M.M., Chomentowski P., Coen P.M., Switzer G.E., Bickel P.E., Stefanovic–Racic M., Toledo F.G.S., et al. Skeletal Muscle Triglycerides, Diacylglycerols, and Ceramides in Insulin Resistance. Another Parad. Endur.–Trained Athl. 2011;60:2588-2597.

    Not in our library10.2337/db10-1221

  165. 165.

    Perreault L., Newsom S.A., Strauss A., Kerege A., Kahn D.E., Harrison K.A., Snell–Bergeon J.K., Nemkov T., D’Alessandro A., Jackman M.R., et al. Intracellular localization of diacylglycerols and sphingolipids influences insulin sensitivity and mitochondrial function in human skeletal muscle. JCI Insight. 2018;3:e96805.

    Not in our library10.1172/jci.insight.96805

  166. 166.

    Bergman B.C., Hunerdosse D.M., Kerege A., Playdon M.C., Perreault L. Localisation and composition of skeletal muscle diacylglycerol predicts insulin resistance in humans. Diabetologia. 2012;55:1140-1150.

    Not in our library10.1007/s00125-011-2419-7

  167. 167.

    Bergman B.C., Goodpaster B.H. Exercise and Muscle Lipid Content, Composition, and Localization: Influence on Muscle Insulin Sensitivity. Diabetes. 2020;69:848-858.

    Not in our library10.2337/dbi18-0042

  168. 168.

    Zierath J., He L., Guma A., Wahlström E.O., Klip A., Wallberg–Henriksson H. Insulin action on glucose transport and plasma membrane GLUT4 content in skeletal muscle from patients with NIDDM. Diabetologia. 1996;39:1180-1189.

    Not in our library10.1007/bf02658504

  169. 169.

    Fernández A.M., Kim J.K., Yakar S., Dupont J., Hernandez–Sanchez C., Castle A.L., Filmore J., Shulman G.I., Le Roith D. Functional inactivation of the IGF–I and insulin receptors in skeletal muscle causes type 2 diabetes. Genes. Dev. 2001;15:1926-1934.

    Not in our library10.1101/gad.908001

  170. 170.

    DeFronzo R.A., Tripathy D. Skeletal muscle insulin resistance is the primary defect in type 2 diabetes. Diabetes Care. 2009;32((Suppl. 2)):S157-S163.

    Not in our library10.2337/dc09-s302

  171. 171.

    Poznyak A.V., Ivanova E.A., Sobenin I.A., Yet S.F., Orekhov A.N. The Role of Mitochondria in Cardiovascular Diseases. Biology. 2020;9:137.

    Not in our library10.3390/biology9060137

  172. 172.

    Chistiakov D.A., Shkurat T.P., Melnichenko A.A., Grechko A.V., Orekhov A.N. The role of mitochondrial dysfunction in cardiovascular disease: A brief review. Ann. Med. 2018;50:121-127.

    Not in our library10.1080/07853890.2017.1417631

  173. 173.

    Ballinger S.W. Mitochondrial dysfunction in cardiovascular disease. Free. Radic. Biol. Med. 2005;38:1278-1295.

    Not in our library10.1016/j.freeradbiomed.2005.02.014

  174. 174.

    Zhang L., Keung W., Samokhvalov V., Wang W., Lopaschuk G.D. Role of fatty acid uptake and fatty acid beta–oxidation in mediating insulin resistance in heart and skeletal muscle. Biochim. Biophys. Acta. 2010;1801:1-22.

    Not in our library10.1016/j.bbalip.2009.09.014

  175. 175.

    Kolwicz S.C., Purohit S., Tian R. Cardiac metabolism and its interactions with contraction, growth, and survival of cardiomyocytes. Circ. Res. 2013;113:603-616.

    Not in our library10.1161/circresaha.113.302095

  176. 176.

    Tran D.H., Wang Z.V. Glucose metabolism in cardiac hypertrophy and heart failure. J. Am. Heart Assoc. 2019;8:e012673.

    Not in our library10.1161/jaha.119.012673

  177. 177.

    Neubauer S. The failing heart—An engine out of fuel. N. Engl. J. Med. 2007;356:1140-1151.

    Not in our library10.1056/nejmra063052

  178. 178.

    Casademont J., Miró Ò. Electron transport chain defects in heart failure. Heart Fail. Rev. 2002;7:131-139.

    Not in our library10.1023/a:1015372407647

  179. 179.

    Aubert G., Vega R.B., Kelly D.P. Perturbations in the gene regulatory pathways controlling mitochondrial energy production in the failing heart. Biochim. Biophys. Acta (BBA)–Mol. Cell Res. 2013;1833:840-847.

    Not in our library10.1016/j.bbamcr.2012.08.015

  180. 180.

    Corral–Debrinski M., Shoffner J., Lott M., Wallace D. Association of mitochondrial DNA damage with aging and coronary atherosclerotic heart disease. Mutat. Res./DNAging. 1992;275:169-180.

    Not in our library10.1016/0921-8734(92)90021-g

  181. 181.
  182. 182.

    Sazonova M.A., Sinyov V.V., Ryzhkova A.I., Galitsyna E.V., Khasanova Z.B., Postnov A.Y., Yarygina E.I., Orekhov A.N., Sobenin I.A. Role of Mitochondrial Genome Mutations in Pathogenesis of Carotid Atherosclerosis. Oxid. Med. Cell Longev. 2017;2017:6934394.

    Not in our library10.1155/2017/6934394

  183. 183.

    Yu E., Calvert P.A., Mercer J.R., Harrison J., Baker L., Figg N.L., Kumar S., Wang J.C., Hurst L.A., Obaid D.R., et al. Mitochondrial DNA damage can promote atherosclerosis independently of reactive oxygen species through effects on smooth muscle cells and monocytes and correlates with higher–risk plaques in humans. Circulation. 2013;128:702-712.

    Not in our library10.1161/circulationaha.113.002271

  184. 184.
  185. 185.

    Yetkin–Arik B., Vogels I.M.C., Neyazi N., van Duinen V., Houtkooper R.H., van Noorden C.J.F., Klaassen I., Schlingemann R.O. Endothelial tip cells in vitro are less glycolytic and have a more flexible response to metabolic stress than non–tip cells. Sci. Rep. 2019;9:10414.

    Not in our library10.1038/s41598-019-46503-2

  186. 186.
  187. 187.
  188. 188.

    Porporato P.E., Payen V.L., De Saedeleer C.J., Préat V., Thissen J.P., Feron O., Sonveaux P. Lactate stimulates angiogenesis and accelerates the healing of superficial and ischemic wounds in mice. Angiogenesis. 2012;15:581-592.

    Not in our library10.1007/s10456-012-9282-0

  189. 189.

    Zhou J., Liu T., Guo H., Cui H., Li P., Feng D., Hu E., Huang Q., Yang A., Zhou J., et al. Lactate potentiates angiogenesis and neurogenesis in experimental intracerebral hemorrhage. Exp. Mol. Med. 2018;50:1-12.

    Not in our library10.1038/s12276-018-0113-2

  190. 190.

    Beckert S., Farrahi F., Aslam R.S., Scheuenstuhl H., Konigsrainer A., Hussain M.Z., Hunt T.K. Lactate stimulates endothelial cell migration. Wound Repair. Regen. 2006;14:321-324.

    Not in our library10.1111/j.1743-6109.2006.00127.x

  191. 191.

    San–Millan I., Julian C.G., Matarazzo C., Martinez J., Brooks G.A. Is Lactate an Oncometabolite? Evidence Supporting a Role for Lactate in the Regulation of Transcriptional Activity of Cancer–Related Genes in MCF7 Breast Cancer Cells. Front. Oncol. 2019;9:1536.

    Not in our library10.3389/fonc.2019.01536

  192. 192.
  193. 193.

    Ungvari Z., Labinskyy N., Mukhopadhyay P., Pinto J.T., Bagi Z., Ballabh P., Zhang C., Pacher P., Csiszar A. Resveratrol attenuates mitochondrial oxidative stress in coronary arterial endothelial cells. Am. J. Physiol.–Heart Circ. Physiol. 2009;297:H1876-H1881.

    Not in our library10.1152/ajpheart.00375.2009

  194. 194.

    Dai D.-F., Rabinovitch P.S., Ungvari Z., Sinclair D., North B. Mitochondria and Cardiovascular aging. Circ. Res. 2012;110:1109-1124.

    Not in our library10.1161/circresaha.111.246140

  195. 195.

    Minamino T., Komuro I. Vascular Cell Senescence. Circ. Res. 2007;100:15-26.

    Not in our library10.1161/01.res.0000256837.40544.4a

  196. 196.

    Jendrach M., Pohl S., Vöth M., Kowald A., Hammerstein P., Bereiter–Hahn J. Morpho–dynamic changes of mitochondria during ageing of human endothelial cells. Mech. Ageing Dev. 2005;126:813-821.

    Not in our library10.1016/j.mad.2005.03.002

  197. 197.

    Kirkman D.L., Robinson A.T., Rossman M.J., Seals D.R., Edwards D.G. Mitochondrial contributions to vascular endothelial dysfunction, arterial stiffness, and cardiovascular diseases. Am. J. Physiol. Heart Circ. Physiol. 2021;320:H2080-H2100.

    Not in our library10.1152/ajpheart.00917.2020

  198. 198.

    Kozieł R., Pircher H., Kratochwil M., Lener B., Hermann M., Dencher N.A., Jansen–Dürr P. Mitochondrial respiratory chain complex I is inactivated by NADPH oxidase Nox4. Biochem. J. 2013;452:231-239.

    Not in our library10.1042/bj20121778

  199. 199.

    Davidson S.M., Duchen M.R. Endothelial mitochondria: Contributing to vascular function and disease. Circ. Res. 2007;100:1128-1141.

    Not in our library10.1161/01.res.0000261970.18328.1d

  200. 200.

    Martín–Timón I., Sevillano–Collantes C., Segura–Galindo A., del Cañizo–Gómez F.J. Type 2 diabetes and cardiovascular disease: Have all risk factors the same strength? World J. Diabetes. 2014;5:444.

    Not in our library10.4239/wjd.v5.i4.444

  201. 201.

    Goodpaster B.H., He J., Watkins S., Kelley D.E. Skeletal muscle lipid content and insulin resistance: Evidence for a paradox in endurance–trained athletes. J. Clin. Endocrinol. Metab. 2001;86:5755-5761.

    Not in our library10.1210/jcem.86.12.8075

  202. 202.

    Krssak M., Petersen K.F., Bergeron R., Price T., Laurent D., Rothman D.L., Roden M., Shulman G.I. Intramuscular glycogen and intramyocellular lipid utilization during prolonged exercise and recovery in man: A 13C and 1H nuclear magnetic resonance spectroscopy study. J. Clin. Endocrinol. Metab. 2000;85:748-754.

    Not in our library10.1210/jcem.85.2.6354

  203. 203.

    Van Loon L.J., Koopman R., Stegen J.H., Wagenmakers A.J., Keizer H.A., Saris W.H. Intramyocellular lipids form an important substrate source during moderate intensity exercise in endurance—Trained males in a fasted state. J. Physiol. 2003;553:611-625.

    Not in our library10.1113/jphysiol.2003.052431

  204. 204.

    Watt M.J., Heigenhauser G.J., Dyck D.J., Spriet L.L. Intramuscular triacylglycerol, glycogen and acetyl group metabolism during 4 h of moderate exercise in man. J. Physiol. 2002;541:969-978.

    Not in our library10.1113/jphysiol.2002.018820

  205. 205.

    Bergman B.C., Perreault L., Strauss A., Bacon S., Kerege A., Harrison K., Brozinick J.T., Hunerdosse D.M., Playdon M.C., Holmes W., et al. Intramuscular triglyceride synthesis: Importance in muscle lipid partitioning in humans. Am. J. Physiol.–Endocrinol. Metab. 2018;314:E152-E164.

    Not in our library10.1152/ajpendo.00142.2017

  206. 206.

    Adams J.M., Pratipanawatr T., Berria R., Wang E., DeFronzo R.A., Sullards M.C., Mandarino L.J. Ceramide content is increased in skeletal muscle from obese insulin–resistant humans. Diabetes. 2004;53:25-31.

    Not in our library10.2337/diabetes.53.1.25

  207. 207.

    de la Maza M.P., Rodriguez J., Hirsch S., Leiva L., Barrera G., Bunout D. Skeletal muscle ceramide species in men with abdominal obesity. J. Nutr. Health Aging. 2015;19:389-396.

    Not in our library10.1007/s12603-014-0548-7

  208. 208.
  209. 209.

    Tan–Chen S., Guitton J., Bourron O., Le Stunff H., Hajduch E. Sphingolipid Metabolism and Signaling in Skeletal Muscle: From Physiology to Physiopathology. Front. Endocrinol. 2020;11:491.

    Not in our library10.3389/fendo.2020.00491

  210. 210.

    Chavez J.A., Summers S.A. A ceramide–centric view of insulin resistance. Cell Metab. 2012;15:585-594.

    Not in our library10.1016/j.cmet.2012.04.002

  211. 211.

    Coen P., Dube J.J., Amati F., Stefanovic–Racic M., Ferrell R.E., Toledo F.G., Goodpaster B.H. Insulin resistance is associated with higher intramyocellular triglycerides in type I but not type II myocytes concomitant with higher ceramide content. Diabetes. 2010;59:80-88.

    Not in our library10.2337/db09-0988

  212. 212.

    Di Paola M., Cocco T., Lorusso M. Ceramide interaction with the respiratory chain of heart mitochondria. Biochemistry. 2000;39:6660-6668.

    Not in our library10.1021/bi9924415

  213. 213.

    Colombini M. Ceramide channels and mitochondrial outer membrane permeability. J. Bioenerg. Biomembr. 2017;49:57-64.

    Not in our library10.1007/s10863-016-9646-z

  214. 214.

    Gudz T.I., Tserng K.-Y., Hoppel C.L. Direct inhibition of mitochondrial respiratory chain complex III by cell–permeable ceramide. J. Biol. Chem. 1997;272:24154-24158.

    Not in our library10.1074/jbc.272.39.24154

  215. 215.

    Law B.A., Liao X., Moore K.S., Southard A., Roddy P., Ji R., Szulc Z., Bielawska A., Schulze P.C., Cowart L.A. Lipotoxic very–long–chain ceramides cause mitochondrial dysfunction, oxidative stress, and cell death in cardiomyocytes. FASEB J. 2018;32:1403.

    Not in our library10.1096/fj.201700300r

  216. 216.

    McGurk K.A., Keavney B.D., Nicolaou A. Circulating ceramides as biomarkers of cardiovascular disease: Evidence from phenotypic and genomic studies. Atherosclerosis. 2021;327:18-30.

    Not in our library10.1016/j.atherosclerosis.2021.04.021

  217. 217.

    Petrocelli J.J., McKenzie A.I., Mahmassani Z.S., Reidy P.T., Stoddard G.J., Poss A.M., Holland W.L., Summers S.A., Drummond M.J. Ceramide Biomarkers Predictive of Cardiovascular Disease Risk Increase in Healthy Older Adults After Bed Rest. J. Gerontol. A Biol. Sci. Med. Sci. 2020;75:1663-1670.

    Not in our library10.1093/gerona/glaa072

  218. 218.

    Vasile V.C., Meeusen J.W., Medina Inojosa J.R., Donato L.J., Scott C.G., Hyun M.S., Vinciguerra M., Rodeheffer R.R., Lopez–Jimenez F., Jaffe A.S. Ceramide scores predict cardiovascular risk in the community. Arterioscler. Thromb. Vasc. Biol. 2021;41:1558-1569.

    Not in our library10.1161/atvbaha.120.315530

  219. 219.

    Lopez X., Goldfine A.B., Holland W.L., Gordillo R., Scherer P.E. Plasma ceramides are elevated in female children and adolescents with type 2 diabetes. J. Pediatr. Endocrinol. Metab. 2013;26:995-998.

    Not in our library10.1515/jpem-2012-0407

  220. 220.

    Boon J., Hoy A.J., Stark R., Brown R.D., Meex R.C., Henstridge D.C., Schenk S., Meikle P.J., Horowitz J.F., Kingwell B.A. Ceramides contained in LDL are elevated in type 2 diabetes and promote inflammation and skeletal muscle insulin resistance. Diabetes. 2013;62:401-410.

    Not in our library10.2337/db12-0686

  221. 221.

    Kirwan J.P. Plasma ceramides target skeletal muscle in type 2 diabetes. Diabetes. 2013;62:352-354.

    Not in our library10.2337/db12-1427

  222. 222.

    Turpin–Nolan S.M., Brüning J.C. The role of ceramides in metabolic disorders: When size and localization matters. Nat. Rev. Endocrinol. 2020;16:224-233.

    Not in our library10.1038/s41574-020-0320-5

  223. 223.

    Bismuth J., Lin P., Yao Q., Chen C. Ceramide: A common pathway for atherosclerosis? Atherosclerosis. 2008;196:497-504.

    Not in our library10.1016/j.atherosclerosis.2007.09.018

  224. 224.

    Vorkas P.A., Shalhoub J., Isaac G., Want E.J., Nicholson J.K., Holmes E., Davies A.H. Metabolic Phenotyping of Atherosclerotic Plaques Reveals Latent Associations between Free Cholesterol and Ceramide Metabolism in Atherogenesis. J. Proteome Res. 2015;14:1389-1399.

    Not in our library10.1021/pr5009898

  225. 225.

    Devlin C.M., Leventhal A.R., Kuriakose G., Schuchman E.H., Williams K.J., Tabas I. Acid sphingomyelinase promotes lipoprotein retention within early atheromata and accelerates lesion progression. Arterioscler. Thromb. Vasc. Biol. 2008;28:1723-1730.

    Not in our library10.1161/atvbaha.108.173344

  226. 226.

    Li W., Yang X., Xing S., Bian F., Yao W., Bai X., Zheng T., Wu G., Jin S. Endogenous ceramide contributes to the transcytosis of oxLDL across endothelial cells and promotes its subendothelial retention in vascular wall. Oxidative Med. Cell Longev. 2014;2014:823071.

    Not in our library10.1155/2014/823071

  227. 227.

    Mah M., Febbraio M., Turpin–Nolan S. Circulating Ceramides– Are Origins Important for Sphingolipid Biomarkers and Treatments? Front. Endocrinol. 2021;12:684448.

    Not in our library10.3389/fendo.2021.684448

  228. 228.
  229. 229.

    Janson J., Laedtke T., Parisi J.E., O’Brien P., Petersen R.C., Butler P.C. Increased Risk of Type 2 Diabetes in Alzheimer Disease. Diabetes. 2004;53:474-481.

    Not in our library10.2337/diabetes.53.2.474

  230. 230.

    Luchsinger J.A., Tang M.X., Shea S., Mayeux R. Hyperinsulinemia and risk of Alzheimer disease. Neurology. 2004;63:1187-1192.

    Not in our library10.1212/01.wnl.0000140292.04932.87

  231. 231.

    Cheng G., Huang C., Deng H., Wang H. Diabetes as a risk factor for dementia and mild cognitive impairment: A meta–analysis of longitudinal studies. Intern. Med. J. 2012;42:484-491.

    Not in our library10.1111/j.1445-5994.2012.02758.x

  232. 232.

    Jayaraman A., Pike C.J. Alzheimer’s disease and type 2 diabetes: Multiple mechanisms contribute to interactions. Curr. Diabetes Rep. 2014;14:476.

    Not in our library10.1007/s11892-014-0476-2

  233. 233.

    Leibson C.L., Rocca W.A., Hanson V., Cha R., Kokmen E., O’brien P., Palumbo P. Risk of dementia among persons with diabetes mellitus: A population–based cohort study. Am. J. Epidemiol. 1997;145:301-308.

    Not in our library10.1093/oxfordjournals.aje.a009106

  234. 234.
  235. 235.

    Xia W., Wang S., Sun Z., Bai F., Zhou Y., Yang Y., Wang P., Huang Y., Yuan Y. Altered baseline brain activity in type 2 diabetes: A resting–state fMRI study. Psychoneuroendocrinology. 2013;38:2493-2501.

    Not in our library10.1016/j.psyneuen.2013.05.012

  236. 236.

    Chen Y., Zhou Z., Liang Y., Tan X., Li Y., Qin C., Feng Y., Ma X., Mo Z., Xia J., et al. Classification of type 2 diabetes mellitus with or without cognitive impairment from healthy controls using high–order functional connectivity. Hum. Brain Mapp. 2021;42:4671-4684.

    Not in our library10.1002/hbm.25575

  237. 237.

    Moran C., Phan T.G., Chen J., Blizzard L., Beare R., Venn A., Münch G., Wood A.G., Forbes J., Greenaway T.M., et al. Brain atrophy in type 2 diabetes: Regional distribution and influence on cognition. Diabetes Care. 2013;36:4036-4042.

    Not in our library10.2337/dc13-0143

  238. 238.

    Manschot S.M., Brands A.M., van der Grond J., Kessels R.P., Algra A., Kappelle L.J., Biessels G.J. Brain magnetic resonance imaging correlates of impaired cognition in patients with type 2 diabetes. Diabetes. 2006;55:1106-1113.

    Not in our library10.2337/diabetes.55.04.06.db05-1323

  239. 239.

    Arvanitakis Z., Wilson R.S., Bienias J.L., Evans D.A., Bennett D.A. Diabetes mellitus and risk of Alzheimer disease and decline in cognitive function. Arch. Neurol. 2004;61:661-666.

    Not in our library10.1001/archneur.61.5.661

  240. 240.

    Suain Bon R., Ariaratnam S., Mat Saher Z., Mohamad M., Lee F.S. Cognitive Impairment and Its Associated Risk Factors in the Elderly With Type 2 Diabetes Mellitus. Front. Psychiatry. 2021;12:669725.

    Not in our library10.3389/fpsyt.2021.669725

  241. 241.

    Glenner G.G., Wong C.W. Alzheimer’s disease and Down’s syndrome: Sharing of a unique cerebrovascular amyloid fibril protein. Biochem. Biophys. Res. Commun. 1984;122:1131-1135.

    Not in our library10.1016/0006-291x(84)91209-9

  242. 242.

    Dembitskaya Y., Piette C., Perez S., Berry H., Magistretti P.J., Venance L. Lactate supply overtakes glucose when neural computational and cognitive loads scale up. Proc. Natl. Acad. Sci. USA. 2022;119:e2212004119.

    Not in our library10.1073/pnas.2212004119

  243. 243.

    Newington J.T., Harris R.A., Cumming R.C. Reevaluating Metabolism in Alzheimer’s Disease from the Perspective of the Astrocyte–Neuron Lactate Shuttle Model. J. Neurodegener. Dis. 2013;2013:234572.

    Not in our library10.1155/2013/234572

  244. 244.

    Kuehn B.M. In Alzheimer Research, Glucose Metabolism Moves to Center Stage. JAMA. 2020;323:297-299.

    Not in our library10.1001/jama.2019.20939

  245. 245.

    Hammond T.C., Lin A.L. Glucose Metabolism is a Better Marker for Predicting Clinical Alzheimer’s Disease than Amyloid or Tau. J. Cell Immunol. 2022;4:15-18.

    Not in our library

  246. 246.

    Hoyer S. Oxidative energy metabolism in Alzheimer brain: Studies in early–onset and late–onset cases. Mol. Chem. Neuropathol. 1992;16:207-224.

    Not in our library10.1007/bf03159971

  247. 247.

    Butterfield D.A., Halliwell B. Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease. Nat. Rev. Neurosci. 2019;20:148-160.

    Not in our library10.1038/s41583-019-0132-6

  248. 248.

    Rapoport S.I., Horwitz B., Grady C.L., Haxby J.V., DeCarli C., Schapiro M.B., Vranic M., Efendic S., Hollenberg C.H. Abnormal brain glucose metabolism in Alzheimer’s disease, as measured by positron emission tomography. Fuel Homeostasis and the Nervous System, Advances in Experimental Medicine and Biology. 1991;Volume 291:231-248.

    Not in our library10.1007/978-1-4684-5931-9_18

  249. 249.
  250. 250.

    Marcus C., Mena E., Subramaniam R.M. Brain PET in the diagnosis of Alzheimer’s disease. Clin. Nucl. Med. 2014;39:e413-e422.

    Not in our library10.1097/rlu.0000000000000547

  251. 251.

    Foster N.L., Heidebrink J.L., Clark C.M., Jagust W.J., Arnold S.E., Barbas N.R., DeCarli C.S., Scott Turner R., Koeppe R.A., Higdon R., et al. FDG–PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer’s disease. Brain. 2007;130:2616-2635.

    Not in our library10.1093/brain/awm177

  252. 252.

    Khosravi M., Peter J., Wintering N.A., Serruya M., Shamchi S.P., Werner T.J., Alavi A., Newberg A.B. 18F–FDG Is a Superior Indicator of Cognitive Performance Compared to 18F–Florbetapir in Alzheimer’s Disease and Mild Cognitive Impairment Evaluation: A Global Quantitative Analysis. J. Alzheimer’s Dis. 2019;70:1197-1207.

    Not in our library10.3233/jad-190220

  253. 253.

    Arnold S.E., Arvanitakis Z., Macauley–Rambach S.L., Koenig A.M., Wang H.Y., Ahima R.S., Craft S., Gandy S., Buettner C., Stoeckel L.E., et al. Brain insulin resistance in type 2 diabetes and Alzheimer disease: Concepts and conundrums. Nat. Rev. Neurol. 2018;14:168-181.

    Not in our library10.1038/nrneurol.2017.185

  254. 254.

    Potenza M.A., Sgarra L., Desantis V., Nacci C., Montagnani M. Diabetes and Alzheimer’s Disease: Might Mitochondrial Dysfunction Help Deciphering the Common Path? Antioxidants. 2021;10:1257.

    Not in our library10.3390/antiox10081257

  255. 255.

    De Felice F.G., Ferreira S.T. Inflammation, Defective Insulin Signaling, and Mitochondrial Dysfunction as Common Molecular Denominators Connecting Type 2 Diabetes to Alzheimer Disease. Diabetes. 2014;63:2262-2272.

    Not in our library10.2337/db13-1954

  256. 256.

    Terzo S., Amato A., Mulè F. From obesity to Alzheimer’s disease through insulin resistance. J. Diabetes Its Complicat. 2021;35:108026.

    Not in our library10.1016/j.jdiacomp.2021.108026

  257. 257.

    Talbot K. Brain insulin resistance in Alzheimer’s disease and its potential treatment with GLP–1 analogs. Neurodegener. Dis. Manag. 2014;4:31-40.

    Not in our library10.2217/nmt.13.73

  258. 258.

    Smith D., Pernet A., Hallett W.A., Bingham E., Marsden P.K., Amiel S.A. Lactate: A preferred fuel for human brain metabolism in vivo. J. Cereb. Blood Flow. Metab. 2003;23:658-664.

    Not in our library10.1097/01.wcb.0000063991.19746.11

  259. 259.

    Glenn T.C., Martin N.A., Horning M.A., McArthur D.L., Hovda D.A., Vespa P., Brooks G.A. Lactate: Brain fuel in human traumatic brain injury: A comparison with normal healthy control subjects. J. Neurotrauma. 2015;32:820-832.

    Not in our library10.1089/neu.2014.3483

  260. 260.
  261. 261.

    Suzuki A., Stern S.A., Bozdagi O., Huntley G.W., Walker R.H., Magistretti P.J., Alberini C.M. Astrocyte–neuron lactate transport is required for long–term memory formation. Cell. 2011;144:810-823.

    Not in our library10.1016/j.cell.2011.02.018

  262. 262.

    Brooks G.A. Cell–cell and intracellular lactate shuttles. J. Physiol. 2009;587:5591-5600.

    Not in our library10.1113/jphysiol.2009.178350

  263. 263.

    Hashimoto T., Brooks G.A. Mitochondrial lactate oxidation complex and an adaptive role for lactate production. Med. Sci. Sport. Exerc. 2008;40:486-494.

    Not in our library10.1249/mss.0b013e31815fcb04

  264. 264.

    Magistretti P.J., Pellerin L. Astrocytes couple synaptic activity to glucose utilization in the brain. Physiology. 1999;14:177-182.

    Not in our library10.1152/physiologyonline.1999.14.5.177

  265. 265.

    Pellerin L., Pellegri G., Bittar P.G., Charnay Y., Bouras C., Martin J.-L., Stella N., Magistretti P.J. Evidence supporting the existence of an activity–dependent astrocyte–neuron lactate shuttle. Dev. Neurosci. 1998;20:291-299.

    Not in our library10.1159/000017324

  266. 266.

    Hsu P.P., Sabatini D.M. Cancer cell metabolism: Warburg and beyond. Cell. 2008;134:703-707.

    Not in our library10.1016/j.cell.2008.08.021

  267. 267.

    DeBerardinis R.J., Chandel N.S. We need to talk about the Warburg effect. Nat. Metab. 2020;2:127-129.

    Not in our library10.1038/s42255-020-0172-2

  268. 268.

    Warburg O. The Metabolism of Carcinoma Cells. J. Cancer Res. 1925;9:148-163.

    Not in our library10.1158/jcr.1925.148

  269. 269.

    Watson J.D., Crick F.H. Molecular structure of nucleic acids: A structure for deoxyribose nucleic acid. Nature. 1953;171:737-738.

    Not in our library10.1038/171737a0

  270. 270.

    Vogelstein B., Papadopoulos N., Velculescu V.E., Zhou S., Diaz L.A., Kinzler K.W. Cancer genome landscapes. Science. 2013;339:1546-1558.

    Not in our library10.1126/science.1235122

  271. 271.

    DeBerardinis R.J., Lum J.J., Hatzivassiliou G., Thompson C.B. The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation. Cell Metab. 2008;7:11-20.

    Not in our library10.1016/j.cmet.2007.10.002

  272. 272.

    Jones R.G., Thompson C.B. Tumor suppressors and cell metabolism: A recipe for cancer growth. Genes. Dev. 2009;23:537-548.

    Not in our library10.1101/gad.1756509

  273. 273.

    Semenza G.L. HIF–1: Upstream and downstream of cancer metabolism. Curr. Opin. Genet. Dev. 2010;20:51-56.

    Not in our library10.1016/j.gde.2009.10.009

  274. 274.

    San–Millan I., Brooks G.A. Reexamining cancer metabolism: Lactate production for carcinogenesis could be the purpose and explanation of the Warburg Effect. Carcinogenesis. 2017;38:119-133.

    Not in our library10.1093/carcin/bgw127

  275. 275.

    Zhang D., Tang Z., Huang H., Zhou G., Cui C., Weng Y., Liu W., Kim S., Lee S., Perez–Neut M., et al. Metabolic regulation of gene expression by histone lactylation. Nature. 2019;574:575-580.

    Not in our library10.1038/s41586-019-1678-1

  276. 276.
  277. 277.

    Arismendi–Morillo G., Castellano–Ramirez A., Seyfried T.N. Ultrastructural characterization of the Mitochondria–associated membranes abnormalities in human astrocytomas: Functional and therapeutics implications. Ultrastruct. Pathol. 2017;41:234-244.

    Not in our library10.1080/01913123.2017.1300618

  278. 278.

    Jacobs R.A., Lundby C. Mitochondria express enhanced quality as well as quantity in association with aerobic fitness across recreationally active individuals up to elite athletes. J. Appl. Physiol. 2013;114:344-350.

    Not in our library10.1152/japplphysiol.01081.2012

  279. 279.

    Gollnick P.D., Armstrong R.B., Saubert C.W.t., Piehl K., Saltin B. Enzyme activity and fiber composition in skeletal muscle of untrained and trained men. J. Appl. Physiol. 1972;33:312-319.

    Not in our library10.1152/jappl.1972.33.3.312

  280. 280.

    Daussin F.N., Zoll J., Ponsot E., Dufour S.P., Doutreleau S., Lonsdorfer E., Ventura–Clapier R., Mettauer B., Piquard F., Geny B. Training at high exercise intensity promotes qualitative adaptations of mitochondrial function in human skeletal muscle. J. Appl. Physiol. 2008;104:1436-1441.

    Not in our library10.1152/japplphysiol.01135.2007

  281. 281.

    Proctor D.N., Sinning W.E., Walro J., Sieck G.C., Lemon P. Oxidative capacity of human muscle fiber types: Effects of age and training status. J. Appl. Physiol. 1995;78:2033-2038.

    Not in our library10.1152/jappl.1995.78.6.2033

  282. 282.

    Turcotte L.P., Richter E.A., Kiens B. Increased plasma FFA uptake and oxidation during prolonged exercise in trained vs. untrained humans. Am. J. Physiol. 1992;262:E791-E799.

    Not in our library10.1152/ajpendo.1992.262.6.e791

  283. 283.

    Kiens B., Essen–Gustavsson B., Christensen N.J., Saltin B. Skeletal muscle substrate utilization during submaximal exercise in man: Effect of endurance training. J. Physiol. 1993;469:459-478.

    Not in our library10.1113/jphysiol.1993.sp019823

  284. 284.

    Jansson E., Kaijser L. Substrate utilization and enzymes in skeletal muscle of extremely endurance–trained men. J. Appl. Physiol. 1987;62:999-1005.

    Not in our library10.1152/jappl.1987.62.3.999

  285. 285.

    Holloszy J.O. Biochemical adaptations in muscle. Effects of exercise on mitochondrial oxygen uptake and respiratory enzyme activity in skeletal muscle. J. Biol. Chem. 1967;242:2278-2282.

    Not in our library10.1016/s0021-9258(18)96046-1

  286. 286.

    Gollnick P.D., King D.W. Effect of exercise and training on mitochondria of rat skeletal muscle. Am. J. Physiol. 1969;216:1502-1509.

    Not in our library10.1152/ajplegacy.1969.216.6.1502

  287. 287.

    Gollnick P.D., Armstrong R.B., Saltin B., Saubert C.W.t., Sembrowich W.L., Shepherd R.E. Effect of training on enzyme activity and fiber composition of human skeletal muscle. J. Appl. Physiol. 1973;34:107-111.

    Not in our library10.1152/jappl.1973.34.1.107

  288. 288.

    Carter H.N., Chen C.C., Hood D.A. Mitochondria, muscle health, and exercise with advancing age. Physiology. 2015;30:208-223.

    Not in our library10.1152/physiol.00039.2014

  289. 289.

    Ljubicic V., Joseph A.M., Adhihetty P.J., Huang J.H., Saleem A., Uguccioni G., Hood D.A. Molecular basis for an attenuated mitochondrial adaptive plasticity in aged skeletal muscle. Aging. 2009;1:818-830.

    Not in our library10.18632/aging.100083

  290. 290.

    Short K.R., Vittone J.L., Bigelow M.L., Proctor D.N., Rizza R.A., Coenen–Schimke J.M., Nair K.S. Impact of Aerobic Exercise Training on Age–Related Changes in Insulin Sensitivity and Muscle Oxidative Capacity. Diabetes. 2003;52:1888-1896.

    Not in our library10.2337/diabetes.52.8.1888

  291. 291.

    Moore R.L., Thacker E.M., Kelley G.A., Musch T.I., Sinoway L.I., Foster V.L., Dickinson A.L. Effect of training/detraining on submaximal exercise responses in humans. J. Appl. Physiol. 1987;63:1719-1724.

    Not in our library10.1152/jappl.1987.63.5.1719

  292. 292.

    Klausen K., Andersen L.B., Pelle I. Adaptive changes in work capacity, skeletal muscle capillarization and enzyme levels during training and detraining. Acta Physiol. Scand. 1981;113:9-16.

    Not in our library10.1111/j.1748-1716.1981.tb06854.x

  293. 293.

    Wibom R., Hultman E., Johansson M., Matherei K., Constantin–Teodosiu D., Schantz P.G. Adaptation of mitochondrial ATP production in human skeletal muscle to endurance training and detraining. J. Appl. Physiol. 1992;73:2004-2010.

    Not in our library10.1152/jappl.1992.73.5.2004

  294. 294.

    Toledo F.G.S., Watkins S., Kelley D.E. Changes Induced by Physical Activity and Weight Loss in the Morphology of Intermyofibrillar Mitochondria in Obese Men and Women. J. Clin. Endocrinol. Metab. 2006;91:3224-3227.

    Not in our library10.1210/jc.2006-0002

  295. 295.

    Toledo F.G., Menshikova E.V., Azuma K., Radikova Z., Kelley C.A., Ritov V.B., Kelley D.E. Mitochondrial capacity in skeletal muscle is not stimulated by weight loss despite increases in insulin action and decreases in intramyocellular lipid content. Diabetes. 2008;57:987-994.

    Not in our library10.2337/db07-1429

  296. 296.

    Toledo F.G.S., Menshikova E.V., Ritov V.B., Azuma K., Radikova Z., DeLany J., Kelley D.E. Effects of Physical Activity and Weight Loss on Skeletal Muscle Mitochondria and Relationship With Glucose Control in Type 2 Diabetes. Diabetes. 2007;56:2142-2147.

    Not in our library10.2337/db07-0141

  297. 297.

    Wang D., Jiang D.-M., Yu R.-R., Zhang L.-L., Liu Y.-Z., Chen J.-X., Chen H.-C., Liu Y.-P. The Effect of Aerobic Exercise on the Oxidative Capacity of Skeletal Muscle Mitochondria in Mice with Impaired Glucose Tolerance. J. Diabetes Res. 2022;2022:3780156.

    Not in our library10.1155/2022/3780156

  298. 298.

    Taivassalo T., Shoubridge E.A., Chen J., Kennaway N.G., DiMauro S., Arnold D.L., Haller R.G. Aerobic conditioning in patients with mitochondrial myopathies: Physiological, biochemical, and genetic effects. Ann. Neurol. 2001;50:133-141.

    Not in our library10.1002/ana.1050

  299. 299.

    Taivassalo T., Gardner J.L., Taylor R.W., Schaefer A.M., Newman J., Barron M.J., Haller R.G., Turnbull D.M. Endurance training and detraining in mitochondrial myopathies due to single large–scale mtDNA deletions. Brain. 2006;129:3391-3401.

    Not in our library10.1093/brain/awl282

  300. 300.

    Lim A.Y., Chen Y.-C., Hsu C.-C., Fu T.-C., Wang J.-S. The Effects of Exercise Training on Mitochondrial Function in Cardiovascular Diseases: A Systematic Review and Meta–Analysis. Int. J. Mol. Sci. 2022;23:12559.

    Not in our library10.3390/ijms232012559

  301. 301.

    Gu C., Yan J., Zhao L., Wu G., Wang Y.-L. Regulation of mitochondrial dynamics by aerobic exercise in cardiovascular diseases. Front. Cardiovasc. Med. 2022;8:2001.

    Not in our library10.3389/fcvm.2021.788505

  302. 302.

    Hambrecht R., Niebauer J., Fiehn E., Kälberer B., Offner B., Hauer K., Riede U., Schlierf G., Kübler W., Schuler G. Physical training in patients with stable chronic heart failure: Effects on cardiorespiratory fitness and ultrastructural abnormalities of leg muscles. J. Am. Coll. Cardiol. 1995;25:1239-1249.

    Not in our library10.1016/0735-1097(94)00568-b

  303. 303.

    Hambrecht R., Fiehn E., Yu J., Niebauer J., Weigl C., Hilbrich L., Adams V., Riede U., Schuler G. Effects of endurance training on mitochondrial ultrastructure and fiber type distribution in skeletal muscle of patients with stable chronic heart failure. J. Am. Coll. Cardiol. 1997;29:1067-1073.

    Not in our library10.1016/s0735-1097(97)00015-6

  304. 304.

    Hsu C.-C., Tsai H.-H., Fu T.-C., Wang J.-S. Exercise Training Enhances Platelet Mitochondrial Bioenergetics in Stroke Patients: A Randomized Controlled Trial. J. Clin. Med. 2019;8:2186.

    Not in our library10.3390/jcm8122186

  305. 305.

    Lin M.-L., Fu T.-C., Hsu C.-C., Huang S.-C., Lin Y.-T., Wang J.-S. Cycling exercise training enhances platelet mitochondrial bioenergetics in patients with peripheral arterial disease: A randomized controlled trial. Thromb. Haemost. 2021;121:900-912.

    Not in our library10.1055/s-0040-1722191

  306. 306.

    Jiang H.K., Wang Y.H., Sun L., He X., Zhao M., Feng Z.H., Yu X.J., Zang W.J. Aerobic interval training attenuates mitochondrial dysfunction in rats post–myocardial infarction: Roles of mitochondrial network dynamics. Int. J. Mol. Sci. 2014;15:5304-5322.

    Not in our library10.3390/ijms15045304

  307. 307.

    Campos J.C., Queliconi B.B., Bozi L.H., Bechara L.R., Dourado P.M., Andres A.M., Jannig P.R., Gomes K.M., Zambelli V.O., Rocha–Resende C. Exercise reestablishes autophagic flux and mitochondrial quality control in heart failure. Autophagy. 2017;13:1304-1317.

    Not in our library10.1080/15548627.2017.1325062

  308. 308.
  309. 309.

    Steiner J.L., Murphy E.A., McClellan J.L., Carmichael M.D., Davis J.M. Exercise training increases mitochondrial biogenesis in the brain. J. Appl. Physiol. 2011;111:1066-1071.

    Not in our library10.1152/japplphysiol.00343.2011

  310. 310.

    De la Rosa A., Olaso–Gonzalez G., Arc–Chagnaud C., Millan F., Salvador–Pascual A., García–Lucerga C., Blasco–Lafarga C., Garcia–Dominguez E., Carretero A., Correas A.G. Physical exercise in the prevention and treatment of Alzheimer’s disease. J. Sport. Health Sci. 2020;9:394-404.

    Not in our library10.1016/j.jshs.2020.01.004

  311. 311.

    Hamer M., Chida Y. Physical activity and risk of neurodegenerative disease: A systematic review of prospective evidence. Psychol. Med. 2009;39:3-11.

    Not in our library10.1017/s0033291708003681

  312. 312.

    Farina N., Rusted J., Tabet N. The effect of exercise interventions on cognitive outcome in Alzheimer’s disease: A systematic review. Int. Psychogeriatr. 2014;26:9-18.

    Not in our library10.1017/s1041610213001385

  313. 313.

    Buchman A., Boyle P., Yu L., Shah R., Wilson R., Bennett D. Total daily physical activity and the risk of AD and cognitive decline in older adults. Neurology. 2012;78:1323-1329.

    Not in our library10.1212/wnl.0b013e3182535d35

  314. 314.

    Cass S.P. Alzheimer’s disease and exercise: A literature review. Curr. Sport. Med. Rep. 2017;16:19-22.

    Not in our library10.1249/jsr.0000000000000332

  315. 315.

    Intlekofer K.A., Cotman C.W. Exercise counteracts declining hippocampal function in aging and Alzheimer’s disease. Neurobiol. Dis. 2013;57:47-55.

    Not in our library10.1016/j.nbd.2012.06.011

  316. 316.

    Dubé J.J., Broskey N.T., Despines A.A., Stefanovic–Racic M., Toledo F.G., Goodpaster B.H., Amati F. Muscle Characteristics and Substrate Energetics in Lifelong Endurance Athletes. Med. Sci. Sport. Exerc. 2016;48:472-480.

    Not in our library10.1249/mss.0000000000000789

  317. 317.

    Fritzen A.M., Andersen S.P., Qadri K.A.N., Thøgersen F.D., Krag T., Ørngreen M.C., Vissing J., Jeppesen T.D. Effect of Aerobic Exercise Training and Deconditioning on Oxidative Capacity and Muscle Mitochondrial Enzyme Machinery in Young and Elderly Individuals. J. Clin. Med. 2020;9:3113.

    Not in our library10.3390/jcm9103113

  318. 318.

    Bishop D.J., Granata C., Eynon N. Can we optimise the exercise training prescription to maximise improvements in mitochondria function and content? Biochim. Et. Biophys. Acta (BBA)—Gen. Subj. 2014;1840:1266-1275.

    Not in our library10.1016/j.bbagen.2013.10.012

  319. 319.

    Larsen S., Nielsen J., Hansen C.N., Nielsen L.B., Wibrand F., Stride N., Schroder H.D., Boushel R., Helge J.W., Dela F., et al. Biomarkers of mitochondrial content in skeletal muscle of healthy young human subjects. J. Physiol. 2012;590:3349-3360.

    Not in our library10.1113/jphysiol.2012.230185

  320. 320.

    Long Q., Huang L., Huang K., Yang Q. Assessing Mitochondrial Bioenergetics in Isolated Mitochondria from Mouse Heart Tissues Using Oroboros 2k–Oxygraph. Methods Mol. Biol. 2019;1966:237-246.

    Not in our library10.1007/978-1-4939-9195-2_19

  321. 321.

    Horan M.P., Pichaud N., Ballard J.W.O. Review: Quantifying Mitochondrial Dysfunction in Complex Diseases of Aging. J. Gerontol. Ser. A. 2012;67:1022-1035.

    Not in our library10.1093/gerona/glr263

  322. 322.

    Pesta D., Gnaiger E., Palmeira C.M., Moreno A.J. High–Resolution Respirometry: OXPHOS Protocols for Human Cells and Permeabilized Fibers from Small Biopsies of Human Muscle. Mitochondrial Bioenergetics: Methods and Protocols. 2012;25-58.

    Not in our library10.1007/978-1-61779-382-0_3

  323. 323.

    Boutagy N.E., Rogers G.W., Pyne E.S., Ali M.M., Hulver M.W., Frisard M.I. Using Isolated Mitochondria from Minimal Quantities of Mouse Skeletal Muscle for High throughput Microplate Respiratory Measurements. J. Vis. Exp. 2015;104:e53216.

    Not in our library10.3791/53216

  324. 324.

    Amara C.E., Marcinek D.J., Shankland E.G., Schenkman K.A., Arakaki L.S.L., Conley K.E. Mitochondrial function in vivo: Spectroscopy provides window on cellular energetics. Methods. 2008;46:312-318.

    Not in our library10.1016/j.ymeth.2008.10.001

  325. 325.

    Kemp G.J., Ahmad R.E., Nicolay K., Prompers J.J. Quantification of skeletal muscle mitochondrial function by 31P magnetic resonance spectroscopy techniques: A quantitative review. Acta Physiol. 2015;213:107-144.

    Not in our library10.1111/apha.12307

  326. 326.

    Campbell M.D., Marcinek D.J. Evaluation of in vivo mitochondrial bioenergetics in skeletal muscle using NMR and optical methods. Biochim. Et. Biophys. Acta (BBA)—Mol. Basis Dis. 2016;1862:716-724.

    Not in our library10.1016/j.bbadis.2015.12.019

  327. 327.

Cited by papers we hold 1

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.