No retraction, correction or concern found when last checked on Oct 26, 2026.
Susceptibility for Some Infectious Diseases in Patients With Diabetes: The Key Role of Glycemia
Jesús Chávez-Reyes, Carlos E. Escárcega-González, Erika Chavira-Suárez and 6 more
Frontiers in Public Health · 2021 · Review · CC BY
Abstract
Uncontrolled diabetes results in several metabolic alterations including hyperglycemia. Indeed, several preclinical and clinical studies have suggested that this condition may induce susceptibility and the development of more aggressive infectious diseases, especially those caused by some bacteria (including Chlamydophila pneumoniae, Haemophilus influenzae , and Streptococcus pneumoniae , among others) and viruses [such as coronavirus 2 (CoV2), Influenza A virus, Hepatitis B, etc.]. Although the precise mechanisms that link glycemia to the exacerbated infections remain elusive, hyperglycemia is known to induce a wide array of changes in the immune system activity, including alterations in: (i) the microenvironment of immune cells (e.g., p H, blood viscosity and other biochemical parameters); (ii) the supply of energy to infectious bacteria; (iii) the inflammatory response; and (iv) oxidative stress as a result of bacterial proliferative metabolism. Consistent with this evidence, some bacterial infections are typical (and/or have a worse prognosis) in patients with hypercaloric diets and a stressful lifestyle (conditions that promote hyperglycemic episodes). On this basis, the present review is particularly focused on: (i) the role of diabetes in the development of some bacterial and viral infections by analyzing preclinical and clinical findings; (ii) discussing the possible mechanisms by which hyperglycemia may increase the susceptibility for developing infections; and (iii) further understanding the impact of hyperglycemia on the immune system.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 26, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
Diabetes mellitus is a chronic and complex illness characterized by several metabolic alterations including dyslipidemia and hyperglycemia, among others. According to the American Diabetes Association (A.D.A.), diabetes mellitus (DM) can be classified into the following categories: (i) type 1 diabetes mellitus (T1DM), characterized by the loss of pancreatic β-cells induced by an autoimmune response; (ii) type 2 diabetes mellitus (T2DM), identified by the gradual loss of insulin secretion and/or the development of insulin resistance; (iii) gestational DM, developed in some pregnant women; and (iv) other types of DM that are due to miscellaneous causes. Interestingly, patients with uncontrolled DM (regardless of type) have alterations in healing latency and susceptibility for developing some emerging infectious (mainly bacterial) diseases. In addition, compared to non-diabetic normoglycemic patients, DM patients are at higher risk for developing the current severe acute respiratory syndrome coronavirus 2 (SARS-COV2) caused by the coronavirus 2 (CoV2) that has shocked the world economy and created a global health pandemic emergency named COVID-19. Moreover, the restoration of normoglycemia seems to be related to a better prognosis for bacterial infections; whereas in COVID-19 diabetic patients, no obvious conclusions have been reached about the impact of normoglycemic treatments on the development and outcome of this particular disease.
People with metabolic impairments (i.e., fasting hyperglycemia, postprandial hyperglycemia and DM) show greater ranges of glucose levels. Indeed, fasting hyperglycemia (when food has not been taken for at least 8 h) is a metabolic disorder characterized by levels of plasma glucose above 110 mg/dL, a condition commonly observed in diabetic patients. Fasting hyperglycemia (from now on simply referred to as hyperglycemia) has been involved in deleterious effects such as tissue damage associated with oxidative stress and immunological impairments, which increase the susceptibility to acquire bacterial infections and COVID-19 (see below).
Remarkably, the effects of hypoglycemia induced by anorexia on the clinical outcome of infected patients have been discussed with no consensus. Moreover, Wang et al. have suggested that: (i) the pathogenic nature (i.e., bacterial, viral, etc.) and infection profile may be key factors for the prognosis and clinical outcome in a preclinical model of bacterial infection; (ii) glucose plays a key role in the outcome of infected animals; and (iii) survival of animals under bacterial sepsis (with Listeria monocytogenes) was dramatically decreased when they were gavage-fed. In contrast, if these animals received glucose (i.p.), all animals died. As anorexia is an important stereotypic behavior of the sickness response, it could be an adaptive strategy for combating some infectious illnesses. In this sense, it has also been reported that bacteria from other groups (e.g., Salmonella) may induce inhibition of anorexia via Salmonella leucine rich repeat protein (SlrP) which inhibits interleukin-1β (IL-1β). This effect seems to maintain the conditions for increasing the opportunity for Salmonella to infect other hosts. Although these experiments were carried out in preclinical models, the results suggest that glycemia is so important that hosts and infectious agents have developed adaptive strategies to control glucose levels during the progression of an infectious process. Moreover, the control of glucose levels may determine the infection course and/or the recovery times (Figure 1); therefore, the understanding of the mechanisms involved on the hijacking of glucose control during infections may have an enormous medical utility.
The relationship between hyperglycemia and susceptibility to infections has been described extensively in diabetic patients. Nevertheless, very few reports have analyzed the appropriate management of glycemia according to the infection type, immunological responsiveness, and clinical variables (i.e., patient age, time or period elapsed with diabetes, etc.). To focus on these aspects, the present review has considered information on: (i) the effect of glycemia on infection outcome and immune cells physiology; (ii) the biochemical alterations in cell physiology during diabetes and/or hyperglycemia; and (iii) the impact of pharmaceutical care interventions for glycemia control on some of the most frequent emerging infectious diseases.
Methods and Inclusion Criteria
To consider the relevant literature in this theoretical review, we searched for studies published in various databases such as Science direct, Pubmed central and Google Scholar. These databases included any combination of the main key terms “bacterial infections,” “COVID-19,” “diabetes,” “influenza A virus,” “hepatitis B and C viruses,” “human immunodeficiency virus,” and “hyperglycemia” among themselves and with important topics such as: “rheological properties of blood,” “biochemical alterations of diabetic immune cells,” “immune response on hyperglycemic environment,” “hypoglycemic drugs,” “bacterial infection outcome,” and “comorbidities with COVID-19.” Around 600 articles published from 1966 up to 2020 were perused, and only 260 of those articles with experimental and/or theoretical information which related hyperglycemia and/or diabetes to bacterial infections and/or COVID-19 and some other viruses were included in this review.
Effect of Hyperglycemia on the Immune Response
In general, alterations in the immune system during hyperglycemia seem to be associated with mechanisms that include lower secretion of inflammatory cytokines, depression in neutrophils and T cells function, as well as decreases in humoral immunity. Moreover, it is documented that hyperglycemia may delay the recuperation of tissues (e.g., via changes in the secretion of growth factors and collagenase levels); this, in turn, may lead to increased susceptibility of these tissues to develop secondary emerging infections (mainly bacterial). Other alterations in the immune response induced by hyperglycemia can be explained by biochemical and/or cellular events, such as: (i) creation of advanced glycation end-products (AGEs), which reduce the expression of myeloid cells surface proteins known as class I major histocompatibility complex; (ii) decreased migration of polymorphonuclear leukocytes, chemotaxis, and/or phagocytic activity; (iii) inhibition on G6PD (see below); and (iv) increased apoptosis of polymorphonuclear leukocytes and reduced transmigration through the endothelium. Clearly, the control of glycemia may be mandatory for dealing with emerging infections (mainly bacterial), in view that: (i) some bacteria grow better in a high glucose environment; and (ii) a hyperglycemic state seems to negatively affect the body's ability to respond to antimicrobial therapy.
Common infections related to T1DM and T2DM are those of the respiratory and urinary tracts. Indeed, it has been reported that patients with T2DM have alterations in chemotaxis, phagocytosis, antigen presentation and proliferation/function of T cells in response to Mycobacterium tuberculosis, which facilitates infection and its symptomatic progression. Certainly, the impaired chemotaxis of leukocytes does not depend on the type of diabetes mellitus. Other tissues/organs that are also commonly compromised in diabetic patients include the skin, bone marrow, gastrointestinal tract and liver, among others. This susceptibility for developing infections may lead to complications in the management of diabetic patients, such as post-operative infections, sepsis, chronic periodontitis, emphysematous cholecystitis, emphysematous pyelonephritis, malignant external otitis, rhinocerebral mucormycosis, gangrenous cholecystitis, and others.
It is noteworthy that foot infections are highly common in patients with diabetes, which usually start after a foot wound that eventually leads to ulceration. In this respect, neuropathy seems to be an important component of foot ulceration which, in turn, increases the risk of amputation. The wound is predisposed to a loss of sensitivity because of the damage in neuron fibers by pathophysiological mechanisms not fully understood. It has been suggested that a vascular endothelium damage produced by inflammation and oxidative stress may produce alterations in the microcirculation and, finally, nerve damage.
In many cases, these infections cause ischemia at the wound site, ultimately leading to amputations. Moreover: (i) immunological disturbances in neutrophil functions such as chemotaxis, phagocytosis and intracellular killing may contribute to exacerbate infections; and (ii) AGEs may influence the appearance of a chronic immune imbalance by activating pro-inflammatory cells which, in turn, would lead to a chronic subclinical inflammation that hinders the correct function of the immune system to fight infections and to deal with wound healing.
Thus, the typical hyperglycemia present in patients with diabetes could be related to an increased risk of different types of infections. Interestingly, cancer patients treated with glucocorticoids showed increased infection rates. Indeed, glucocorticoids are direct immunosuppressors that may increase hyperglycemia by hepatic gluconeogenesis and inhibition of glucose intake. All these lines of evidence, strongly suggest that hyperglycemia may induce an adequate environment for several infectious pathogens; and hence, a suitable glycemic control would decrease the rate of infection risk.
Finally, it is logical to assume that the changes in the immune system produced by hyperglycemia as an occasional (transient) event (e.g., stress) should be quite different from the changes induced by a chronic hyperglycemia. Nevertheless, in any hyperglycemic condition (i.e., transient or chronic), patients may be susceptible to some of the same clinical complications, including poor wound healing and an increased rate of infection. In fact, acute glucose elevation in critically injured trauma patients may be predictive of infections; whereas hyperglycemia at admission (with no indication about the cause) is a predictor of infections in critically ill trauma patients. Clearly, chronic hyperglycemia involves compensatory mechanisms (not discussed here) that are absent when it is due to an occasional event; in both cases, normalization of the glucose levels seems to be a useful practice to improve the nosocomial outcome.
Stress-Induced Hyperglycemia and Infections
Besides diabetes, another condition that commonly predisposes to hyperglycemia is stress. The stress-induced hyperglycemia (SIH) generally refers to a metabolic condition with a transient hyperglycemia associated with clinical illness. The SIH is a common problem in patients admitted to intensive care units (ICU), even in the absence of pre-existing diabetes, and it is defined as an increase above 200 mg/dL of blood glucose.
The SIH is especially dangerous in chronic critical illnesses, as the organs' functions become aberrant increasing the risk of death. In less severe cases, SIH seems to affect the normal immune response, since hyperglycemia (as discussed above) is associated with an increased risk to infections. Hyperglycemia is certainly related to a higher risk of infections and sepsis in patients of ICU, an increased risk of complications in patients who underwent orthopedic trauma surgery, and surgical site infections in non-diabetic orthopedic trauma patients (see Table 1).
A stress response is associated with an increased pro-inflammatory response characterized by the release of several cytokines, including tumor necrosis factor-alpha (TNF-α), IL-1 and IL-6, which are related to insulin resistance. Indeed: (i) TNF-α inhibits tyrosine kinases and decreases tyrosine phosphorylation of the insulin receptor; (ii) IL-1 suppresses glucose transporter-4 (GLUT-4) translocation by a decreased activation of the phosphoinositide-3-kinase (PI3K) mechanism; and (iii) IL-6 increases the release of adrenocorticotrophic hormone, with all the scenarios resulting in insulin resistance.
Additionally, there may be an integration of a vicious cycle when taking a hypercaloric fatty diet, which can also induce an increase in catecholamines' release, in combination with lifestyle factors leading to chronic stress (resulting in a plasma increase in catecholamines and cortisol). In this scenario, catecholamines via β-adrenoceptors expressed in adipocytes, liver, skeletal and smooth muscle cells may increase the metabolism of glycogen and triglycerides for increasing blood glucose, fatty acids, glycerol, and other local vascular actions. Accordingly, this SIH may lead to immunosuppression (see Figure 2).
The contribution of SIH in the diabetic patient is a complex issue that seems to worsen the glycemic status of patients with type 2 diabetes; whereas the autonomic damage induced by neuropathy in type 1 diabetes leads to contradictory and non-conclusive data. Patients with necrotizing fasciitis (and diabetes) developed adverse outcomes when SIH generated glycemic gaps with increases in glucose >146 mg/dL. Thus, synergy of diabetes and SIH is a phenomenon of high medical impact (both in infectious and non-infectious clinical admission) that remains to be completely characterized.
Infectious Diseases in Patients With Diabetes: Exacerbation and Susceptibility to SARS-CoV-2 and Other Viral Diseases
Diabetes is a condition that may potentiate infectious diseases and predispose patients to acquiring more severe diseases. To support this notion, a recent matched cohort study analyzed the incidence infection rate from 306,011 patients (102,493 patients with type 1 and 2 diabetes), and reported that patients with diabetes (especially type 1) are more susceptible to developing severe infectious diseases. In addition, patients with diabetes are more vulnerable to fungal, viral, and bacterial infections than the non-diabetic population, exhibiting a worse prognosis once the infection is installed.
According to epidemiological studies, the most common infectious diseases of hospitalization in children, adolescents and adults with diabetes are lower tract respiratory infections (pneumonia, among others), diabetic foot infection, skin and soft tissue abscesses, and urinary tract infections. The respiratory tract infections are the primary comorbidity associated with severe or lethal infections that increases hospitalizations in individuals with diabetes.
Pneumonia is the hospitalization leading cause of severe lower respiratory tract infections, and it is an important risk factor for infectious illnesses in diabetic patients. The main fungal and bacterial pathogens associated with pneumonia infections are Mycoplasma pneumoniae, Chlamydophila pneumoniae, Legionella pneumophila, methicillin-resistant Staphylococcus aureus, Haemophilus influenzae, and Streptococcus pneumoniae. This diversity of pneumonia development pathogens may denote a complex biological interaction between wild microorganisms residing in the human body, the host immunophysiology, and the pathogenic pneumonia specificity.
On the other hand, hormones like cortisol, glucagon and catecholamines released during certain conditions, such as trauma, infection and surgery increase gluconeogenesis and decrease peripheral glucose uptake. Interestingly, the association between sympathetic hyperactivity (e.g., induced by chronic stress), hyperglycemia, hypothermia and immunosuppression of the acquired immunity seems to be mainly mediated by activation of α-adrenoceptors.
Emerging global health studies have reported that other respiratory tract infections with high mortality rate in patients with diabetes, besides pneumonia, are those promoted by viral agents. These include the influenza viruses, the Middle East respiratory syndrome coronavirus (MERS-CoV), the severe acute respiratory syndrome coronavirus (SARS-CoV) and, most recently, the SARS-CoV-2 (see below), the last viral infection outbreak across the globe.
SARS-CoV-2 and Other Viral Diseases: Impact of Hyperglycemia
Patients with hyperglycemia have been reported to be susceptible to develop a severe form of COVID-19, which is a risk factor for fatality. Newsworthy, diabetes provides a ~3-fold higher risk of fatality as compared to the non-diabetic population among the COVID-19 sufferers. Moreover, diabetes increased the length of hospital stays for COVID-19 patients from 9.8 days in non-diabetic patients to 14.4 days in diabetic patients in a retrospective cross-sectional study that was conducted in England. In this regard, it has been described that a proper control of glycemia by antidiabetic drugs can be beneficial in reducing the risk of death in diabetic patients with COVID-19. Indeed, it was inferred that DPP-4 inhibitors might be beneficial to prevent or treat COVID-19 disease. Although this certainly opens a new field of interest in the treatment of SARS-CoV-2 pneumonia, further studies and research are required on this topic.
Bacterial infections are frequently identified after typical viral respiratory infections and they are important causes of morbidity and mortality. In patients with COVID-19, bacterial comorbidity has been reported to be low (i.e., an overall proportion of 6.9 %) in a recent metanalysis reported by Langford et al.. Notoriously, the comorbidity was slightly higher in critical patients (i.e., 8.1%).
DM, hypertension, cardiovascular diseases, and obesity are the top four comorbidities worldwide associated to critically ill patients with COVID-19 and mortality. Indeed, 5 to 10% of patients with SARS-CoV-2 pneumonia require intensive care unit (ICU) admission and mechanical ventilation. Patients requiring invasive mechanical ventilation are strongly related to poor outcome with high mortality rate in Chinese and American populations.
Unfortunately, studies on the unfavorable outcomes and mortality rate related to pathogenic co-infections that worsen respiratory tract function in people with diabetes and COVID-19 infection are limited. However, bacterial, and viral pathogenic co-infections have been studied in patients with SARS-CoV-2 pneumonia requiring ICU admission. These studies showed that methicillin-sensitive Staphylococcus aureus, Haemophilus influenzae, Streptococcus pneumoniae, Enterobacteriaceae, Pseudomonas aeruginosa, Moraxella catarrhalis, and Acinetobacter baumannii were the 28% of bacterial strains isolated by experimental laboratory procedures (cultures or PCRs assays). Importantly, no viral co-infection has been detected in the critically ill COVID-19 patients, supporting the idea that respiratory infections are often depending on combinatorial factors associated to geography, season, human physiology, and behavior, as well as pathogenic interactions. Therefore, it is mandatory to determine the different biological mechanisms used for each viral infection and/or co-infection of pathogens that aggravate states of health or disease to pursue appropriate treatments.
Admittedly, pathogenesis of COVID-19 viremia remains unclear. However, some lines of evidence suggest that high levels of systemic glucose increase glucose concentration in the epithelial secretion of the respiratory tract, disrupting the orchestration of the innate and humoral immunological response. This includes, in particular, hyperglycemia-induced changes in coagulation, worsening of endothelial function, and reproduction of inflammatory cytokines.
Data about hospitalization for infectious diseases in diabetic and non-diabetic subjects have been associated with various hyperglycemic conditions on admission, increasing poor outcomes and mortality rates. Moreover, hyperglycemia on admission was clearly associated with undiagnosed DM, strongly suggesting that an optimal glycemic control that reduces glycemic fluctuations during hospitalization should be a beneficial clinical practice for viremia control.
The American Diabetes Association (A.D.A.) recommends a blood glucose level of 140 to 180 mg /dL (7.8 to 10.0 mmol/L) for most critically ill patients and patients who are not in good health. Glycemic control during clinical procedures could be accompanied by insulin therapy if the hyperglycemia persists starting at a threshold ≥ 180 mg/dL. Thus, patients with COVID-19 and with/without DM should have a well-controlled blood glucose.
Influenza A Virus
The influenza A virus (IAV) induces a self-limited infection in most patients, which is characterized by several symptoms such as myalgia, fever, and dry cough. Nevertheless, patients with diabetes experience a more severe type of this disease that is represented by a triple risk of hospitalization and double risk of fatality compared with non-diabetic sufferers. Despite the fact that IAV infects upon 15% of the world's population every year, the full mechanisms underlying its pathogenesis, especially on patients with diabetes, remain thus far inconclusive. In this sense, Hulme et al. reported that the IAV infection in hyperglycemic conditions increases the endothelial damage leading to a pronounced inflammatory response; this explains, at least in part, the severity of the symptoms in patients with diabetes. In support of this notion, Kohio and Adamson reported an enhanced IAV replication rate in pulmonary epithelial cells under elevated glucose concentrations in vitro.
Admittedly, the specific mechanisms that underline susceptibility factors for viral infections development in patients with diabetes (Table 2) are poorly understood. However, an experimental study that used an in vitro and in vivo model of pulmonary epithelial-endothelial cells exposed to a high glucose concentration (12 mM) demonstrated an increased barrier damage after co-cultured cells were infected with IAV; this, in turn, augmented pulmonary edema associated with a pro-inflammatory response. Thus, controlling hyperglycemia seems to be important for hospitalized patients with severe viral infections and diabetes.
Hepatitis B and C Viruses
The Hepatitis C virus (HCV) and Hepatitis B virus (HBV) are known causes of hepatic decompensation, liver cirrhosis, and hepatocellular carcinoma (HCC), being two major public health problems worldwide. The evidence for a link between HCV and DM has been proposed several decades ago. In this sense, based on the meta-analysis of Gou and colleagues, patients with T2DM are more prone to HCV infection (~3.5-fold increase) compared with the risk in the non-diabetic group. In the case of HBV, the diabetic condition predisposes to acquiring the infection. Moreover, there is a high association between diabetes and the higher risk for a worse outcome of HCV and HBV infection. HCV patients with diabetes have a higher incidence of HCC compared to non-diabetic HCV patients (radio 1.73). Interestingly, the use of several hypoglycemic drugs improves the prognosis for this type of cancer.
Human Immunodeficiency Virus
Human immunodeficiency virus (HIV) increases the risk for developing T2DM. Likewise, patients with HIV are prone to diabetes in younger people and in the absence of obesity. In this sense, several hypotheses have been proposed to understand the mechanisms for this link, including the effects of antiretroviral drugs (ARVD), lipodystrophy, co-infections, and autoimmunity. The use of ARVD in patients with HIV, which include atazanavir, darunavir, and saquinavir, interfere with the GLUT-4 dynamics by increasing insulin resistance and reducing insulin secretion. On the other hand, it has been recognized that the HIV infection and/or its treatment can induce lipodystrophy (i.e., an abnormal distribution of fat in the body); this raises the levels of TNF-α which, in turn, contributes to increasing insulin resistance and finally triggering diabetes. The third hypothesis to understand the relation HIV-diabetes includes the co-participation of HCV; in this sense, the increased intrahepatic TNF-α may be a trigger to develop diabetes. Finally, the autoimmune hypothesis explains that some HIV-patients may undergo beta cell destruction, developing the autoimmune diabetes observed in some HIV-infected patients.
Rheological Properties and Blood Viscosity
Rheological properties of blood may impact function, metabolism, motility and even the latency for clearing toxins of blood cells. Changes in rheological conditions have been reported during diabetes and hyperglycemia, which may alter red blood cells physiology and the local microcirculation. Indeed, some of the blood rheological properties that have been reported to be disturbed during hyperglycemia and/or diabetes include: (i) an increment in serum osmolarity; (ii) erythrocyte deformation that is produced by glycosylation of membrane proteins; (iii) changes in pH; and (iv) an increase in blood viscosity. All these alterations may impair the immune system activity and could explain the impact that glycemia has on the clinical outcome (Figure 1).
Furthermore, increased blood viscosity may lead to hemoconcentration and vasodilatation that increases edema. In close connection with this response, coagulation directly affects blood viscosity, increasing the risk for developing microangiopathy. In fact, anomalous erythrocyte deformability and platelet aggregation impair microcirculation, which leads to hypoxia in hyperglycemia and diabetes. In this sense, a decrease in oxygen supply could impair the immune response because in those cells oxygen is essential for destroying infectious microorganisms. As a result, oxygen supplementation: (i) avoids surgical infections during the perioperative period; and (ii) can be used to prevent infections and promote wound healing.
To round off and complete the above rheological scenario, it is to be noted that the concentration of fibrinogen and globulins are also important factors involved in blood viscosity. In fact, an increase in plasma fibrinogen in diabetic patients is a determining factor for blood viscosity. This, in turn, will alter oxygen supply resulting in an impaired immune response.
pH
Any change in pH may be detrimental for the proper functioning of the whole body, including the diabetic sufferers. In this sense, diabetic ketoacidosis (DKA) is a common hyperglycemic condition that affects both T1DM and T2DM patients, resulting in a decreased venous blood pH (below 7.3). DKA results from an altered metabolism of glucose mainly produced by a decreased or abolished production of insulin. This, in turn, promotes the metabolism of triglycerides into glycerol and fatty acids, with the latter being further oxidized to ketone bodies, mainly acetoacetate and β-hydroxybutyrate. Ketone bodies are weak acids that weigh down blood buffering capacity (carried out by bicarbonate anion), altering pH and resulting in a metabolic acidosis.
As the most severe complication of DM, patients with DKA have more difficulty to handle infections. Admittedly, it is not clear whether DM may increase the susceptibility for all infections; however, many of them (mainly the bacterial ones) are more severe, frequent and/or typical of diabetic patients. For instance, some of the most common infections in these patients are pneumonia and urinary tract infections, as well as other infections difficult to manage, such as mucormycosis, aspergillosis, tuberculous meningitis, and pulmonary coccidioidomycosis.
Several reports have shown the role of pH in the immune response. For example, with a pH below 6.5: (i) the mobility of polymorphonuclear leukocytes was impaired, which could result in delayed migration of leukocytes; (ii) chemotaxis was inhibited; and (iii) the production of superoxide anion was decreased in neutrophils, resulting in an impaired “respiratory burst”. However, phagocytosis in bovine neutrophils was hardly affected when they were challenged with Staphylococcus aureus at acidic pH. Moreover, Loeffler et al. reported an inhibition in lymphocytes proliferation induced by interleukin-2 (IL-2) at acidic pH. Nevertheless, only some functions seem to be affected in lymphocytes at an acidic pH, namely, at pH 6.7 (as compared with pH 7.1) an increase in lymphocytes mobilization was reported. A possible explanation for this finding is that every cell type and specific functions are differentially altered by pH gradients. Obviously, further studies are required to understand the molecular mechanisms underlying each cellular type and the corresponding physiological phenomena.
Other important alterations induced by hyperglycemia in the circulatory system are related to a miss-functionality of the enzymatic machinery of blood cells, including Na+/K+-ATPase activity and glucose-6-phosphate dehydrogenase (G6PD) (see below).
Alterations in Na+/K+-ATPase Activity
Na+/K+-ATPase is a transmembrane protein responsible for maintaining intracellular Na+/K+ balance by generating the gradients of Na+ and K+. This enzyme is expressed ubiquitously in almost all cell types, regulating a plethora of functions such as the reabsorption of glucose and amino acids (which depends on a Na+ gradient) in distal convoluted tubule, motility in sperm cells, action potentials in synaptic neurons, etc.. In erythrocytes, this enzyme is involved in maintaining their volume and water homeostasis; while in lymphocytes, their proliferation induced by a variety of stimulus is dependent on Na+/K+-ATPase activity. Interestingly, Na+/K+-ATPase activity is decreased in the erythrocytes from T2DM sufferers, but its expression remains unaltered. These findings suggest that the activity of Na+/K+-ATPase may be used as a potential biomarker for detecting early phases of T2DM. Within this context, one theory that explains the effects of hyperglycemia on Na+/K+-ATPase is by glycosylation, which induces the impairment of the ATPase activity in erythrocytes. In fact, this enzyme has several glycosylation sites located at β-subunits, some of them related to protein maturation and other functional processes. These lines of evidence show the importance of glycosylation in Na+/K+-ATPase activity.
On the other hand, Na+/K+-ATPase partake in the functionality of immune cells. Indeed, proliferation of lymphocytes is dependent on Na+/K+-ATPase activity and the expression of nuclear factor of activated T cells transcription complex (NFAT) of thymocytes; this factor is essential for the production of Interleukin-2, a cytokine produced by lymphocytes during a microbial infection. Hence, immunologic and hematologic deficiencies in diabetic patients are related to multiple alterations, which may include aberrant activity of the Na+/K+-ATPase.
In agreement with the above findings, a reasonable possibility to explain the alterations in immune system activity during diabetes is that the Na+/K+-ATPase activity could be equally decreased in both lymphocytes and erythrocytes (since these cell types are in the same environment). Besides this, protein glycosylation can occur by enzymatic, but also by non-enzymatic ways; in this respect, glucose is chemically attached to proteins by Schiff base and Amadori product adducts, resulting in a variety of biological effects, including inactivation of enzymes, such as Na+/K+-ATPase. It has even been reported that a deficiency in glucose-6-phosphate dehydrogenase, an enzyme altered in diabetes, increases protein glycosylation, supporting the idea previously proposed (see below).
Glucose-6-Phosphate Dehydrogenase
Glucose-6-phosphate dehydrogenase (G6PD) is an enzyme expressed ubiquitously in all mammalian tissues. It plays an important role in the pentose pathway catalyzing the first reaction in this metabolic route, which is necessary to convert glucose into pentose sugars. This pathway produces nicotinamide adenine dinucleotide phosphate hydrogen (NADPH), an antioxidant molecule that catalyzes the reaction to regenerate reduced glutathione.
Many studies have reported the importance of G6PD in antioxidant defense against toxicity of reactive oxygen species (ROS). Interestingly, a relationship is established between diabetes and a decrease in G6PD activity in a variety of cells from rats and humans. Additionally, this enzyme plays an important role against infections and in T cell proliferation. In keeping with this view, a deficiency of this enzyme in leukocytes is related to serious infectious diseases, such as chronic granulomatous disease.
Admittedly, the specific molecular mechanisms that explain the effects of chronic hyperglycemia on G6PD activity in immune cells remain uncertain. For example, Xu et al. showed evidence of inhibition of this enzyme via phosphorylation by protein kinase A in kidney cortex of diabetic rats pretreated with streptozotocin. Similar results were observed in aortic endothelial cells cultured under hyperglycemic conditions. Another possibility to explain the effect of glucose on G6PD activity is via protein glycosylation produced by a high glucose concentration.
In summary, the above physicochemical alterations resulting from hyperglycemia impair the immune response, predisposing diabetic subjects to acquire infections as well as exacerbates them.
Hypoglycemic Drugs and Their Clinical Effects on Bacterial Infections
An uncontrolled blood glucose level is associated with an increase in microvascular and macrovascular complications in diabetic patients. Likewise, a hyperglycemic state results in multiple consequences, including osmotic diuresis, fluid/electrolyte imbalance, poor wound healing, impaired immune response, and increased susceptibility to infections, among others. Accordingly, these pathophysiological conditions have led to the implementation of therapeutic strategies for a tight glycemic control in patients with T2DM, resulting in the development of the so-called glucose-lowering drugs (i.e., Oral Antidiabetic Drugs; OADs).
Several lines of evidence have shown that the use of OADs to maintain tight blood glucose concentrations between 80 and 110 mg/dl decreases infection-related complications and mortality (see Table 3). For example, metformin, which is the first-line pharmacological agent for T2DM treatment, reduced airway glucose permeability and prevented the higher load of Staphylococcus aureus (S. aureus) induced by hyperglycemia. Similarly, metformin pre-treatment inhibited the glucose-induced growth of Pseudomonas aeruginosa, increased transepithelial electrical resistance (TEER) and decreased glucose flux in an epithelial cell culture model. In this sense, mutants of genes affecting glucose uptake of P. aeruginosa decreased the bacterial loads on streptozotocin-induced hyperglycemic mice compared to control.
Interestingly: (i) metformin pre-treatment of hyperglycemic animals reduced both airway glucose and bacterial load; (ii) the incidence of tuberculosis has been related to abnormal glucose levels, whereas metformin is a protective agent in the treatment of tuberculosis in diabetic patients; (iii) metformin treatment was also associated with an increased risk of bacterial pneumonia in patients with chronic obstructive pulmonary disease from a nationwide cohort study (Taiwan); and (iv) pneumonia is a swelling disease usually caused by a bacterial infection commonly associated with diabetic patients.
Consistent with the above findings, diabetic patients with community-acquired pneumonia (CAP) developed worse results and longer hospital stays in comparison to patients with CAP without diabetes; accordingly, it is important to discuss the relationship between the use of OADs and pneumonia. Indeed, these data support airway glucose as a critical determinant of increased bacterial load during diabetes.
Moreover, Mendy et al. analyzed data from the National Health and Nutrition Examination Survey during 1988–1994 and 1999–2010 for participants aged 40 years or older who had diabetes and were followed up for mortality through 2011. Their results showed that metformin was associated with a decreased risk for chronic lower respiratory diseases (CLRD) mortality in the overall population (HR: 0.39, 95% CI: 0.15–0.99) and among participants with baseline CLRD (HR: 0.30, 95% CI: 0.10–0.93).
Likewise, Pan et al. investigated the effect of metformin vs. sulfonylureas on tuberculosis risk in patients with T2DM. The study demonstrated that patients with T2DM treated with metformin in the initial 2 years, had a significant reduced risk of tuberculosis as compared to those receiving sulfonylureas as initial treatment.
Furthermore, Shih et al. reported the relationship between the use of AODs and the risk of hospitalization for sepsis. The authors found that the use of metformin was associated with ~20% reduced risk of sepsis as compared with non-use. In contrast, meglitinides and sulfonylureas were associated with increased risk of future sepsis events, but this association was not evident among recent and current sulfonylurea users. Moreover, the DPP-4 inhibitors and thiazolidinediones on sepsis were neutral, nevertheless, the occurrence of sepsis in current thiazolidinediones users was reduced.
On the other hand, some studies have shown that pretreatment with dapagliflozin, a sodium-glucose co-transporter 2 inhibitor, reduced blood and bronchoalveolar lavage glucose concentrations and P. aeruginosa CFU in leptin receptor-deficient (db/db) mice, as compared to those seen in wild type (WT) mice.
In summary, the available evidence thus far has established the increased susceptibility to certain types of infections related to hyperglycemia in T2DM. Clearly, further studies on the mechanisms regulating OADs and bacterial action on specific tissues/organs are required. Such studies could yield potential alternatives to prevent/suppress hyperglycemia and bacterial infections.
Moreover, the risk for developing infections is increased in hyperglycemic environments, where there is a lower production of interleukins, a reduced chemotaxis and phagocytic activity, and a gastrointestinal dysmotility. The use of specific OADs such as metformin is associated with reduced hospital-treated infections, septicemia prognosis, and some kinds of respiratory illnesses. Indeed, another study in diabetic patients has shown a reduction in autoimmune diseases by an acute intervention with OADs, such as DPP-4 in combination with other hypoglycemic drugs. One mechanism that may improve those immune response effects is through GLP-1 action that induces insulin secretion and inhibits glucagon secretion, ameliorating the glycemic variability.
To conclude this section, it is to be noted that experimental anorexia seems to play an important protective role in supporting the recuperation of bacterial infections. Moreover, mortality in critical illnesses (e.g., sepsis, severe burning, etc.) may increase via alterations in immune cell activity that, in turn, may be mediated by the release of stress hormones (cortisol, catecholamines, etc.) and the hyperglycemia that these hormones induce. As hyperglycemia impairs periphery glucose usage, administration of insulin improves cellular uptake and attenuates the inflammatory response.
A higher risk of CAP was found with other OADs, except with dipeptidyl-peptidase 4 (DPP-4) inhibitors. Indeed, in a retrospective cohort and a meta-analysis study, DPP-4 inhibitors failed to increase the risk of pneumonia during diabetes. These controversial data about the use OADs and the outcome of bacterial infections in diabetic patients point out the necessity for more detailed analyses and clinical observations.
In view that hyperglycemia may be a determinant factor in the outcome for bacterial infections, any effort for controlling the increases glucose levels is valuable. Another interesting approach may be the supplementation with calcium and vitamin D because it decreases insulin resistance and hyperglycemia; nevertheless, some strategies must be considered to ponder the risks and benefits.
Further Considerations
Hypoglycemia occurs when there exists a lack of adequate food intake, excessive exercise, a stressful experience, excessive alcohol consumption, concurrent infections, severe digestive and urologic diseases, and/or after taking antidiabetic medications. This suggests that hypoglycemia is an endocrine alarming signal that is triggered to level the required concentrations of blood glucose in the body.
Considering that fasting plasma glucose is normally maintained between 70 and 99 mg/dL, a biomarker associated with high blood glucose levels is HbA1c, whose normal range is between 4 and 5.7% in healthy people. Less than 7% of HbA1c is found in controlled people with diabetes, and above 8% is found in people with uncontrolled diabetes. Low or high levels of HbA1c have been related to severe hypoglycemic episodes with a glucose-lowering regimen in patients with diabetes.
Glycemic control and reduction of hyperglycemia or hypoglycemia events are the main challenges in the clinical experience to achieve decreases of blood glucose variability. Indeed, levels of glucose and its constant fluctuations are good indicators of organ dysfunctions such as those associated with infections. Patients with diabetes often suffer from chronic low-grade infections such as periodontitis and foot ulceration. Surgery-site infections and susceptibility to septic shock increase with pre and post-operative glucose levels and their variability, suggesting that glucose monitoring is one of the key elements in hyperglycemia and hypoglycemia management diseases where the immune system is compromised.
Glucose variability is currently considered more deleterious than chronic hyperglycemia in the development of diabetes-related complications. However, some studies suggest that an intensive glucose control does not improve some of the diabetes-associated complications such as cardiovascular failures, raising the mortality rate. Furthermore, a tight glucose control induces hypoglycemic episodes and the increased response of the immune system, impacting on coagulant factors, pro-inflammatory cytokines, proatherogenic cell adhesion molecules, and nitric oxide-mediated vasodilatation. Innate immunity response is activated nearly after acute or chronic infections are experienced by diabetes sufferers. For this, the study of the suppression of innate immune system is a key factor, since it exacerbates the inflammatory response after an acute hypoglycemia episode, inducing prothrombotic changes and increasing platelet reactivity.
Another consideration is that under normal and pathophysiological metabolic functions, individuals course with glucose swings during the day, correlating them with the gastric emptying rate and postprandial glucose levels. Glycemic fluctuations are limited by low glucose levels that slow the gastric emptying or by high glucose that accelerate it. However, a hypoglycemic state promotes reverse effects; hence, the gastric emptying is accelerated and the absorption speed of nutrients is increased to reach the physiological glycemic levels, suggesting that gastrointestinal motility and gastric motor function are important factors to consider for a therapy of glycemic control.
During physiological gastric emptying, carbohydrates and proteins are evacuated faster than lipids for their caloric content. The evacuation of these macronutrients begins at 20 to 40 min after food intake and when they reach the intestine, incretin hormones are secreted to blood. Glucagon-like peptide-1 (GLP-1) is an incretin hormone that stimulates insulin secretion, reduces glucagon secretion, and delays gastric emptying in a glucose-dependent manner.
Significantly, glucose-lowering therapies through the use of diverse drug classes have been reported as an important source of heart failure risk, particularly with differential effects on insulin. Consequently, older patients are the most affected population, especially if a diminished food intake, excessive alcohol use, combination of non-prescribed medications, concomitant infections, and diabetic complications are also taken into account. Because of this, an intervention with a forced hypoglycemia should be considered with caution according to disease timing, age, nutritional behaviors, type of medications and concomitant infections.
General Conclusion
Hyperglycemia clearly induces physiological and immunological disorders in body tissues/organs that may predispose and exacerbate some infectious diseases. Therefore, the control of glucose levels could be an alternative tool to contribute to the fight against infections not only in diabetic patients, but also in other conditions that induce hyperglycemia, such as SIH. In addition, several studies have shown the potential benefits of controlling it (e.g., pharmacological approaches), opening a new option to improve the outcome of some infections (bacterial and viral). It is worth noting that the authors of this review agree that glycemic control is necessary as part of good intervention strategies to treat current and emerging infectious diseases. Admittedly, the clinical evidence for reducing glycemic exposure requires more supportive data, specifically for hypoglycemia as a tool to fight infections in humans. Notwithstanding, this review summarizes enough preclinical evidence to increase our chances of beating infections by focusing on the key role of glycemic control.
Author Contributions
JC-R, CE-G, and BM-C developed the central idea of this article and wrote the manuscript. BM-C proposed the central idea, made the graphs, and obtained funding. PV-L, EC-S, AL-B, and AQ-S provided original ideas, developed some sections, and reviewed the manuscript. CMV and JM-R discussed the central ideas, reviewed, edited, and corrected the manuscript. All authors contributed to the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor and reviewer AV declared a shared affiliation with one of the authors EC-S at time of review.
References 260
- 1.
Schofield JD Liu Y Balakrishna PR Malik RA Soran H. Diabetes dyslipidemia. Diabetes Ther. (2016 ) 7:17.
Not in our library10.1007/s13300-016-0167-x
- 2.
A.D.A. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2018. Diabetes Care. (2018 ) 41(Suppl. 1):S13–27.
Not in our library10.2337/dc18-s002
- 3.
A.D.A. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2019. Diabetes Care. (2019 ) 42(Suppl. 1):S13–28.
Not in our library10.2337/dc19-s002
- 4.
Rosenberg CS. Wound healing in the patient with diabetes mellitus. Nurs Clin North Am. (1990 ) 25:247–61.
Not in our library
- 5.
Peleg AY Weerarathna T McCarthy JS Davis TM. Common infections in diabetes: pathogenesis, management and relationship to glycaemic control. Diabetes Metab Res Rev. (2007 ) 23:3–13.
Not in our library10.1002/dmrr.682
- 6.
Pal R Bhadada SK. COVID-19 and diabetes mellitus: an unholy interaction of two pandemics. Diabetes Metab Syndr. (2020 ) 14:513–7.
Not in our library10.1016/j.dsx.2020.04.049
- 7.
Wu J Zhang J Sun X Wang L Xu Y Zhang Y. Influence of diabetes mellitus on the severity and fatality of SARS-CoV-2. (COVID-19) infection. Diabetes Obes Metab. (2020 ) 22:1907–14.
Not in our library10.1111/dom.14105
- 8.
Hussain A Bhowmik B do Vale Moreira NC. COVID-19 and diabetes: knowledge in progress. Diabetes Res Clin Pract. (2020 ) 162:108142.
Not in our library10.1016/j.diabres.2020.108142
- 9.
Giri B Dey S Das T Sarkar M Banerjee J Dash SK. Chronic hyperglycemia mediated physiological alteration and metabolic distortion leads to organ dysfunction, infection, cancer progression and other pathophysiological consequences: an update on glucose toxicity. Biomed Pharmacother. (2018 ) 107:306–28.
Not in our library10.1016/j.biopha.2018.07.157
- 10.
Vichaibun V Khananurak K Sophonnithiprasert T. Comparative analysis of plasma total antioxidant capacity in patients with hyperglycemia and hyperglycemia plus dyslipidemia. Diabetes Metab Syndr. (2019 ) 13:90–4.
Not in our library10.1016/j.dsx.2018.08.029
- 11.
Bistrian BR. Hyperglycemia and Infection: which is the chicken and which is the egg? (2001 ) 25:180–1.
Not in our library10.1177/0148607101025004180
- 12.
Gupta S Koirala J Khardori R Khardori N. Infections in diabetes mellitus and hyperglycemia. Infect Dis Clin North Am. (2007 ) 21:617–38.
Not in our library10.1016/j.idc.2007.07.003
- 13.
Ahmadishooli A Davoodian P Shoja S Ahmadishooli B Dadvand H Hamadiyan H. frequency and antimicrobial susceptibility patterns of diabetic foot infection of patients from Bandar Abbas District, Southern Iran. J Pathog. (2020 ) 2020:1–10.
Not in our library10.1155/2020/1057167
- 14.
Alkundi A Mahmoud I Musa A Naveed S Alshawwaf M. Clinical characteristics and outcomes of COVID-19 hospitalized patients with diabetes in the United Kingdom: a retrospective single centre study. Diabetes Res Clin Pract. (2020 ) 165:108263.
Not in our library10.1016/j.diabres.2020.108263
- 15.
- 16.
Li G Deng Q Feng J Li F Xiong N He Q. Clinical characteristics of diabetic patients with COVID-19. J Diabetes Res. (2020 ) 2020:1652403.
Not in our library10.1155/2020/1652403
- 17.
Li X Xu S Yu M Wang K Tao Y Zhou Y. Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan. J Allergy Clin Immunol. (2020 ) 146:110–8.
Not in our library10.1016/j.jaci.2020.04.006
- 18.
Kudsk KA Laulederkind A Hanna MK. Most infectious complications in parenterally fed trauma patients are not due to elevated blood glucose levels. J Parenter Enteral Nutr. (2001 ) 25:174–9.
Not in our library10.1177/0148607101025004174
- 19.
Wang A Huen SC Luan HH Yu S Zhang C Gallezot JD. Opposing effects of fasting metabolism on tissue tolerance in bacterial and viral inflammation. Cell. (2016 ) 166:1512–25.e1512.
Not in our library10.1016/j.cell.2016.07.026
- 20.
Rao S Schieber AMP O'Connor CP Leblanc M Michel D Ayres JS. Pathogen-mediated inhibition of anorexia promotes host survival and transmission. Cell. (2017 ) 168:503–16.e512.
Not in our library10.1016/j.cell.2017.01.006
- 21.
Joshi N Caputo GM Weitekamp MR Karchmer AW. Infections in patients with diabetes mellitus. N Engl J Med. (1999 ) 341:1906–12.
Not in our library10.1056/nejm199912163412507
- 22.
Casqueiro J Casqueiro J Alves C. Infections in patients with diabetes mellitus: a review of pathogenesis. Indian J Endocrinol Metab. (2012 ) 16(Suppl. 1):S27–36.
Not in our library10.4103/2230-8210.94253
- 23.
Brem H Tomic-Canic M. Cellular and molecular basis of wound healing in diabetes. J Clin Invest. (2007 ) 117:1219–22.
Not in our library10.1172/jci32169
- 24.
Price CL Hassi HO English NR Blakemore AI Stagg AJ Knight SC. Methylglyoxal modulates immune responses: relevance to diabetes. J Cell Mol Med. (2010 ) 14:1806–15.
Not in our library10.1111/j.1582-4934.2009.00803.x
- 25.
Alba-Loureiro TC Munhoz CD Martins JO Cerchiaro GA Scavone C Curi R. Neutrophil function and metabolism in individuals with diabetes mellitus. Braz J Med Biol Res. (2007 ) 40:1037–44.
Not in our library10.1590/s0100-879x2006005000143
- 26.
Xu Y Osborne BW Stanton RC. Diabetes causes inhibition of glucose-6-phosphate dehydrogenase via activation of PKA, which contributes to oxidative stress in rat kidney cortex. Am J Physiol Renal Physiol. (2005 ) 289:F1040–7.
Not in our library10.1152/ajprenal.00076.2005
- 27.
- 28.
- 29.
Cristea OM Avramescu CS Balasoiu M Popescu FD Popescu F Amzoiu MO. Urinary tract infection with Klebsiella pneumoniae in Patients with Chronic Kidney Disease. Curr Health Sci J. (2017 ) 43:137–48.
Not in our library10.12865/chsj.43.02.06
- 30.
Wang X Ma A Han X Chan L Liang H Litifu A. T cell profile was altered in pulmonary tuberculosis patients with type 2 diabetes. Med Sci Monit. (2018 ) 24:636–42.
Not in our library10.12659/msm.905651
- 31.
Delamaire M Maugendre D Moreno M Le Goff MC Allannic H Genetet B. Impaired leucocyte functions in diabetic patients. Diabet Med. (1997 ) 14:29–34.
Not in our library10.1002/(sici)1096-9136(199701)14:1<29::aid-dia300>3.0.co;2-v
- 32.
Dryden M Baguneid M Eckmann C Corman S Stephens J Solem C. Pathophysiology and burden of infection in patients with diabetes mellitus and peripheral vascular disease: focus on skin and soft-tissue infections. Clin Microbiol Infect. (2015) 21 Suppl 2:S27–32.
Not in our library10.1016/j.cmi.2015.03.024
- 33.
Muller LM Gorter KJ Hak E Goudzwaard WL Schellevis FG Hoepelman AI. Increased risk of common infections in patients with type 1 and type 2 diabetes mellitus. Clin Infect Dis. (2005 ) 41:281–8.
Not in our library10.1086/431587
- 34.
Sanz-Corbalán I Lázaro-Martínez JL García-Morales E Molines-Barroso R Álvaro-Afonso F García-Álvarez Y. Advantages of early diagnosis of diabetic neuropathy in the prevention of diabetic foot ulcers. Diabetes Res Clin Pract. (2018 ) 146:148–54.
Not in our library10.1016/j.diabres.2017.12.018
- 35.
Roustit M Loader J Deusenbery C Baltzis D Veves A. Endothelial dysfunction as a link between cardiovascular risk factors and peripheral neuropathy in diabetes. J Clin Endocrinol Metab. (2016 ) 101:3401–8.
Not in our library10.1210/jc.2016-2030
- 36.
Eleftheriadou I Dimitrakopoulou N Kafasi N Tentolouris A Dimitrakopoulou A Anastasiou IA. Endothelial progenitor cells and peripheral neuropathy in subjects with type 2 diabetes mellitus. J Diabetes Complicat. (2020 ) 34:107517.
Not in our library10.1016/j.jdiacomp.2019.107517
- 37.
- 38.
Lavery LA Armstrong DG Wunderlich RP Mohler MJ Wendel CS Lipsky BA. Risk factors for foot infections in individuals with diabetes. Diabetes Care. (2006 ) 29:1288–93.
Not in our library10.2337/dc05-2425
- 39.
Chang BB Darling RC III Paty PS Lloyd WE Shah DM Leather RP. Expeditious management of ischemic invasive foot infections. Cardiovasc Surg. (1996 ) 4:792–5.
Not in our library10.1177/096721099600400622
- 40.
Geerlings SE Hoepelman AI. Immune dysfunction in patients with diabetes mellitus (DM). FEMS Immunol Med Microbiol. (1999 ) 26:259–65.
Not in our library10.1111/j.1574-695x.1999.tb01397.x
- 41.
Cruciani M Lipsky BA Mengoli C de Lalla F. Are granulocyte colony-stimulating factors beneficial in treating diabetic foot infections? A meta-analysis. Diabetes Care. (2005 ) 28:454–60.
Not in our library10.2337/diacare.28.2.454
- 42.
Hu H Jiang H Ren H Hu X Wang X Han C. AGEs and chronic subclinical inflammation in diabetes: disorders of immune system. Diabetes Metab Res Rev. (2015 ) 31:127–37.
Not in our library10.1002/dmrr.2560
- 43.
Zylla D Gilmore G Eklund J Richter S Carlson A. Impact of diabetes and hyperglycemia on health care utilization, infection risk, and survival in patients with cancer receiving glucocorticoids with chemotherapy. J Diabetes Complications. (2019 ) 33:335–9.
Not in our library10.1016/j.jdiacomp.2018.12.012
- 44.
Ferris HA Kahn CR. New mechanisms of glucocorticoid-induced insulin resistance: make no bones about it. J Clin Invest. (2012 ) 122:3854–7.
Not in our library10.1172/jci66180
- 45.
Gallacher SJ Thomson G Fraser WD Fisher BM Gemmell CG MacCuish AC. Neutrophil bactericidal function in diabetes mellitus: evidence for association with blood glucose control. Diabet Med. (1995 ) 12:916–20.
Not in our library10.1111/j.1464-5491.1995.tb00396.x
- 46.
van den Berghe G Wouters P Weekers F Verwaest C Bruyninckx F Schetz M. Intensive insulin therapy in critically ill patients. N Engl J Med. (2001 ) 345:1359–67.
Not in our library10.1056/nejmoa011300
- 47.
Furnary AP Wu Y. Eliminating the diabetic disadvantage: the Portland Diabetic Project. Semin Thorac Cardiovasc Surg. (2006 ) 18:302–8.
Not in our library10.1053/j.semtcvs.2006.04.005
- 48.
Pearson-Stuttard J Blundell S Harris T Cook DG Critchley J. Diabetes and infection: assessing the association with glycaemic control in population-based studies. Lancet Diabetes Endocrinol. (2016 ) 4:148–58.
Not in our library10.1016/s2213-8587(15)00379-4
- 49.
Hine JL de Lusignan S Burleigh D Pathirannehelage S McGovern A Gatenby P. Association between glycaemic control and common infections in people with Type 2 diabetes: a cohort study. Diabet Med. (2017 ) 34:551–7.
Not in our library10.1111/dme.13205
- 50.
McCowen KC Malhotra A Bistrian BR. Stress-induced hyperglycemia. Crit Care Clin. (2001 ) 17:107–24.
Not in our library10.1016/s0749-0704(05)70154-8
- 51.
Bochicchio GV Bochicchio KM Joshi M Ilahi O Scalea TM. Acute glucose elevation is highly predictive of infection and outcome in critically injured trauma patients. Ann Surg. (2010 ) 252:597–602.
Not in our library10.1097/sla.0b013e3181f4e499
- 52.
Sung J Bochicchio GV Joshi M Bochicchio K Tracy K Scalea TM. Admission hyperglycemia is predictive of outcome in critically ill trauma patients. J Trauma. (2005 ) 59:80–3.
Not in our library10.1097/01.ta.0000171452.96585.84
- 53.
Chang MW Huang CY Liu HT Chen YC Hsieh CH. Stress-induced and diabetic hyperglycemia associated with higher mortality among intensive care unit trauma patients: cross-sectional analysis of the propensity score-matched population. Int J Environ Res Public Health. (2018 ) 15:992.
Not in our library10.3390/ijerph15050992
- 54.
Chang CH Wang JL Wu LC Chuang LM Lin HH. Diabetes, glycemic control, and risk of infection morbidity and mortality: a cohort study. Open Forum Infect Dis. (2019 ) 6:ofz358.
Not in our library10.1093/ofid/ofz358
- 55.
Dungan KM Braithwaite SS Preiser JC. Stress hyperglycaemia. Lancet. (2009 ) 373:1798–807.
Not in our library10.1016/s0140-6736(09)60553-5
- 56.
Marik PE Raghavan M. Stress-hyperglycemia, insulin and immunomodulation in sepsis. Intensive Care Med. (2004 ) 30:748–56.
Not in our library10.1007/s00134-004-2167-y
- 57.
Xiu F Stanojcic M Diao L Jeschke MG. Stress hyperglycemia, insulin treatment, and innate immune cells. Int J Endocrinol. (2014 ) 2014:486403.
Not in our library10.1155/2014/486403
- 58.
Mechanick JI. Metabolic mechanisms of stress hyperglycemia. JPEN J Parenter Enteral Nutr. (2006 ) 30:157–63.
Not in our library10.1177/0148607106030002157
- 59.
Bar-Or D Rael LT Madayag RM Banton KL Tanner A Acuna DL. Stress hyperglycemia in critically ill patients: insight into possible molecular pathways. Front Med. (2019 ) 6:54.
Not in our library10.3389/fmed.2019.00054
- 60.
Karunakar MA Staples KS. Does stress-induced hyperglycemia increase the risk of perioperative infectious complications in orthopaedic trauma patients? J Orthop Trauma. (2010 ) 24:752–6.
Not in our library10.1097/bot.0b013e3181d7aba5
- 61.
Richards JE Kauffmann RM Obremskey WT May AK. Stress-induced hyperglycemia as a risk factor for surgical-site infection in nondiabetic orthopedic trauma patients admitted to the intensive care unit. J Orthop Trauma. (2013 ) 27:16–21.
Not in our library10.1097/bot.0b013e31825d60e5
- 62.
Bader MS Yi Y Abouchehade K Haroon B Bishop LD Hawboldt J. Community-acquired pneumonia in patients with diabetes mellitus: predictors of complications and length of hospital stay. Am J Med Sci. (2016 ) 352:30–5.
Not in our library10.1016/j.amjms.2016.02.032
- 63.
Kornum JB Thomsen RW Riis A Lervang HH Schønheyder HC Sørensen HT. Type 2 diabetes and pneumonia outcomes: a population-based cohort study. Diabetes Care. (2007 ) 30:2251–7.
Not in our library10.2337/dc06-2417
- 64.
Principi N Iughetti L Cappa M Maffeis C Chiarelli F Bona G. Streptococcus pneumoniae oropharyngeal colonization in school-age children and adolescents with type 1 diabetes mellitus: impact of the heptavalent pneumococcal conjugate vaccine. Hum Vaccin Immunother. (2016 ) 12:293–300.
Not in our library10.1080/21645515.2015.1072666
- 65.
Baghaei P Marjani M Javanmard P Tabarsi P Masjedi MR. Diabetes mellitus and tuberculosis facts and controversies. J Diabetes Metab Disord. (2013 ) 12:58.
Not in our library10.1186/2251-6581-12-58
- 66.
Lopez-Lopez N Martinez AGR Garcia-Hernandez MH Hernandez-Pando R Castañeda-Delgado JE Lugo-Villarino G. Type-2 diabetes alters the basal phenotype of human macrophages and diminishes their capacity to respond, internalise, and control Mycobacterium tuberculosis. Mem Inst Oswaldo Cruz. (2018 ) 113:e170326.
Not in our library10.1590/0074-02760170326
- 67.
Raya S Belbase A Dhakal L Govinda Prajapati K Baidya R Kishor Bimali N. In-vitro biofilm formation and antimicrobial resistance of Escherichia coli in diabetic and nondiabetic patients. Biomed Res Int. (2019 ) 2019:1474578.
Not in our library10.1155/2019/1474578
- 68.
Suri RS Mahon JL Clark WF Moist LM Salvadori M Garg AX. Relationship between Escherichia coli O157:H7 and diabetes mellitus. Kidney Int Suppl. (2009 ) 112:S44–6.
Not in our library10.1038/ki.2008.619
- 69.
Wang MC Tseng CC Wu AB Lin WH Teng CH Yan JJ. Bacterial characteristics and glycemic control in diabetic patients with Escherichia coli urinary tract infection. J Microbiol Immunol Infect. (2013 ) 46:24–9.
Not in our library10.1016/j.jmii.2011.12.024
- 70.
Nitzan O Elias M Chazan B Saliba W. Urinary tract infections in patients with type 2 diabetes mellitus: review of prevalence, diagnosis, and management. Diabetes Metab Syndr Obes. (2015 ) 8:129–36.
Not in our library10.2147/dmso.s51792
- 71.
Gunji T Matsuhashi N Sato H Fujibayashi K Okumura M Sasabe N. Helicobacter pylori infection significantly increases insulin resistance in the asymptomatic Japanese population. Helicobacter. (2009 ) 14:144–50.
Not in our library10.1111/j.1523-5378.2009.00705.x
- 72.
- 73.
Schimke K Chubb SA Davis WA Phillips P Davis TM. Antiplatelet therapy, Helicobacter pylori infection and complicated peptic ulcer disease in diabetes: the Fremantle Diabetes Study. Diabet Med. (2009 ) 26:70–5.
Not in our library10.1111/j.1464-5491.2008.02637.x
- 74.
Shi Y Duan JY Liu DW Qiao YJ Han QX Pan SK. Helicobacter pylori infection is associated with occurrence of proteinuria in type 2 diabetes patients: a systemic review and meta-analysis. Chin Med J. (2018 ) 131:2734–40.
Not in our library10.4103/0366-6999.245269
- 75.
Cervantes-García E García-González R Reséndiz-Albor A Salazar-Schettino PM. Infections of diabetic foot ulcers with methicillin-resistant Staphylococcus aureus. Int J Low Extrem Wounds. (2015 ) 14:44–9.
Not in our library10.1177/1534734614564053
- 76.
Lipsky BA Tabak YP Johannes RS Vo L Hyde L Weigelt JA. Skin and soft tissue infections in hospitalised patients with diabetes: culture isolates and risk factors associated with mortality, length of stay and cost. Diabetologia. (2010 ) 53:914–23.
Not in our library10.1007/s00125-010-1672-5
- 77.
Nicolau DP Stein GE. Therapeutic options for diabetic foot infections: a review with an emphasis on tissue penetration characteristics. J Am Podiatr Med Assoc. (2010 ) 100:52–63.
Not in our library10.7547/1000052
- 78.
Smit J Thomsen RW Schønheyder HC Nielsen H Frøslev T Søgaard M. Outcome of community-acquired staphylococcus aureus bacteraemia in patients with diabetes: a historical population-based cohort study. PLoS ONE. (2016 ) 11:e0153766.
Not in our library10.1371/journal.pone.0153766
- 79.
Chattar-Cora D Tulsyan N Cudjoe EA Onime GD Pyo DJ Weinstein L. Necrotizing fasciitis of the head and neck: a report of two patients and review. Head Neck. (2002 ) 24:497–501.
Not in our library10.1002/hed.10060
- 80.
Shimizu T Tokuda Y. Necrotizing fasciitis. Intern Med. (2010 ) 49:1051–7.
Not in our library10.2169/internalmedicine.49.2964
- 81.
Zhang WJ Cai XY Yang C Zhou LN Cai M Lu XF. Cervical necrotizing fasciitis due to methicillin-resistant Staphylococcus aureus: a case report. Int J Oral Maxillofac Surg. (2010 ) 39:830–4.
Not in our library10.1016/j.ijom.2010.03.019
- 82.
Thwaini A Khan A Malik A Cherian J Barua J Shergill I. Fournier's gangrene and its emergency management. Postgrad Med J. (2006 ) 82:516–9.
Not in our library10.1136/pgmj.2005.042069
- 83.
Tran HA Hart AM. Fournier's gangrene. Intern Med J. (2006 ) 36:200–1.
Not in our library10.1111/j.1445-5994.2006.01031.x
- 84.
Carfrae MJ Kesser BW. Malignant otitis externa. Otolaryngol Clin North Am. (2008 ) 41:537–49.
Not in our library10.1016/j.otc.2008.01.004
- 85.
Prasanna Kumar S Ravikumar A Somu L Ismail NM. Malignant otitis externa: an emerging scourge. J Clin Gerontol Geriatr. (2013 ) 4:128–31.
Not in our library10.1016/j.jcgg.2013.02.003
- 86.
Chen PC Tsai SH Wang JC Tzeng YS Wang YC Chu CM. An elevated glycemic gap predicts adverse outcomes in diabetic patients with necrotizing fasciitis. PLoS ONE. (2019 ) 14:e0223126.
Not in our library10.1371/journal.pone.0223126
- 87.
Yildiz O Aygen B Esel D Kayabas U Alp E Sumerkan B. Sepsis and meningitis due to Listeria monocytogenes. Yonsei Med J. (2007 ) 48:433–9.
Not in our library10.3349/ymj.2007.48.3.433
- 88.
Liang JJ He XY Ye H. Rhombencephalitis caused by Listeria monocytogenes with hydrocephalus and intracranial hemorrhage: A case report and review of the literature. World J Clin Cases. (2019 ) 7:538–47.
Not in our library10.12998/wjcc.v7.i4.538
- 89.
Bali A Chadha I Sharma A. Necrotizing fasciitis of the chest wall caused by infected dentigerous cyst: a case report. J Maxillofacial Oral Surg. (2012 ) 11:347–50.
Not in our library10.1007/s12663-011-0214-0
- 90.
Solá E Rivera C Mangual M Martinez J Rivera K Fernandez R. Diabetes mellitus: an important risk factor for reactivation of tuberculosis. Endocrinol Diabetes Metab Case Rep. (2016 ) 2016:16-0035.
Not in our library10.1530/edm-16-0035
- 91.
Chen SY Lee JJ Chien CC Tsai WC Lu CH Chang WN. High incidence of severe neurological manifestations and high mortality rate for adult Listeria monocytogenes meningitis in Taiwan. J Clin Neurosci. (2020 ) 71:177–85.
Not in our library10.1016/j.jocn.2019.08.072
- 92.
Kanety H Feinstein R Papa MZ Hemi R Karasik A. Tumor necrosis factor alpha-induced phosphorylation of insulin receptor substrate-1. (IRS-1). Possible mechanism for suppression of insulin-stimulated tyrosine phosphorylation of IRS-1. J Biol Chem. (1995 ) 270:23780–4.
Not in our library10.1074/jbc.270.40.23780
- 93.
Devin A Lin Y Yamaoka S Li Z Karin M Liu Z. The alpha and beta subunits of IkappaB kinase. (IKK) mediate TRAF2-dependent IKK recruitment to tumor necrosis factor. (TNF) receptor 1 in response to TNF. Mol Cell Biol. (2001 ) 21:3986–94.
Not in our library10.1128/mcb.21.12.3986-3994.2001
- 94.
Mastorakos G Chrousos GP Weber JS. Recombinant interleukin-6 activates the hypothalamic-pituitary-adrenal axis in humans. J Clin Endocrinol Metab. (1993 ) 77:1690–4.
Not in our library10.1210/jcem.77.6.8263159
- 95.
Bo S Broglio F Settanni F Parasiliti Caprino M Ianniello A Mengozzi G. Effects of meal timing on changes in circulating epinephrine, norepinephrine, and acylated ghrelin concentrations: a pilot study. Nutr Diabetes. (2017 ) 7:303.
Not in our library10.1038/s41387-017-0010-0
- 96.
Barth E Albuszies G Baumgart K Matejovic M Wachter U Vogt J. Glucose metabolism and catecholamines. Crit Care Med. (2007 ) 35:S508–18.
Not in our library10.1097/01.ccm.0000278047.06965.20
- 97.
Escarcega Gonzalez CE Gonzalez Hernandez A Villalon CM Rodriguez MG Marichal Cancino BA. beta-adrenoceptor blockade for infantile hemangioma therapy: do beta3-adrenoceptors play a role? J Vasc Res. (2018 ) 55:159–68.
Not in our library10.1159/000489956
- 98.
Marichal-Cancino BA González-Hernández A Muñoz-Islas E Villalón CM. Monoaminergic receptors as modulators of the perivascular sympathetic and sensory CGRPergic outflows. Curr Neuropharmacol. (2020 ) 18:790–808.
Not in our library10.2174/1570159x18666200503223240
- 99.
Surwit RS Schneider MS Feinglos MN. Stress and diabetes mellitus. Diabetes Care. (1992 ) 15:1413–22.
Not in our library10.2337/diacare.15.10.1413
- 100.
Capes SE Hunt D Malmberg K Gerstein HC. Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview. Lancet. (2000 ) 355:773–8.
Not in our library10.1016/s0140-6736(99)08415-9
- 101.
Marcovecchio ML Chiarelli F. The effects of acute and chronic stress on diabetes control. Sci Signal. (2012 ) 5:pt10.
Not in our library10.1126/scisignal.2003508
- 102.
- 103.
Rau CS Wu SC Chen YC Chien PC Hsieh HY Kuo PJ. Higher mortality in trauma patients is associated with stress-induced hyperglycemia, but not diabetic hyperglycemia: a cross-sectional analysis based on a propensity-score matching approach. Int J Environ Res Public Health. (2017 ) 14:1161.
Not in our library10.3390/ijerph14101161
- 104.
Rau CS Wu SC Chen YC Chien PC Hsieh HY Kuo PJ. Stress-induced hyperglycemia in diabetes: a cross-sectional analysis to explore the definition based on the trauma registry data. Int J Environ Res Public Health. (2017 ) 14:1527.
Not in our library10.3390/ijerph14121527
- 105.
Carey IM Critchley JA DeWilde S Harris T Hosking FJ Cook DG. Risk of infection in type 1 and type 2 diabetes compared with the general population: a matched cohort study. Diabetes Care. (2018 ) 41:513–21.
Not in our library10.2337/dc17-2131
- 106.
Erben N Ozgunes I Aksit F Doyuk Kartal E Colak E Usluer G. Healthcare-associated infections and the distribution of causative pathogens in patients with diabetes mellitus. Eur J Clin Microbiol Infect Dis. (2013 ) 32:821–5.
Not in our library10.1007/s10096-013-1816-x
- 107.
Korbel L Easterling RS Punja N Spencer JD. The burden of common infections in children and adolescents with diabetes mellitus: a Pediatric Health Information System study. Pediatr Diabetes. (2018 ) 19:512–9.
Not in our library10.1111/pedi.12594
- 108.
Ahmadi F Moogahi S Bahrami H. Determining frequency and pattern of infections associated with diabetes based educational hospitals in Ahvaz city; Iran. Diabetes Metab Syndr. (2019 ) 13:2441–4.
Not in our library10.1016/j.dsx.2019.06.012
- 109.
Klekotka RB Mizgała E Król W. The etiology of lower respiratory tract infections in people with diabetes. Pneumonol Alergol Pol. (2015 ) 83:401–8.
Not in our library10.5603/piap.2015.0065
- 110.
Kulcsar KA Coleman CM Beck SE Frieman MB. Comorbid diabetes results in immune dysregulation and enhanced disease severity following MERS-CoV infection. JCI Insight. (2019 ) 4:e131774.
Not in our library10.1172/jci.insight.131774
- 111.
Jensen AV Faurholt-Jepsen D Egelund GB Andersen SB Petersen PT Benfield T. Undiagnosed diabetes mellitus in community-acquired pneumonia: a prospective cohort study. Clin Infect Dis. (2017 ) 65:2091–8.
Not in our library10.1093/cid/cix703
- 112.
Shimizu T Kawamura T Miyaji C Oya H Bannai M Yamamoto S. Resistance of extrathymic T cells to stress and the role of endogenous glucocorticoids in stress associated immunosuppression. Scand J Immunol. (2000 ) 51:285–92.
Not in our library10.1046/j.1365-3083.2000.00695.x
- 113.
Watanabe M Tomiyama-Miyaji C Kainuma E Inoue M Kuwano Y Ren H. Role of alpha-adrenergic stimulus in stress-induced modulation of body temperature, blood glucose and innate immunity. Immunol Lett. (2008 ) 115:43–9.
Not in our library10.1016/j.imlet.2007.09.010
- 114.
- 115.
Nassar MS Bakhrebah MA Meo SA Alsuabeyl MS Zaher WA. Middle East Respiratory Syndrome Coronavirus (MERS-CoV) infection: epidemiology, pathogenesis and clinical characteristics. Eur Rev Med Pharmacol Sci. (2018 ) 22:4956–61.
Not in our library10.26355/eurrev_201808_15635
- 116.
Meo SA Alhowikan AM Al-Khlaiwi T Meo IM Halepoto DM Iqbal M. Novel coronavirus 2019-nCoV: prevalence, biological and clinical characteristics comparison with SARS-CoV and MERS-CoV. Eur Rev Med Pharmacol Sci. (2020 ) 24:2012–9.
Not in our library10.26355/eurrev_202002_20379
- 117.
Strollo R Pozzilli P. DPP4 inhibition: preventing SARS-CoV-2 infection and/or progression of COVID-19? Diabetes Metab Res Rev. (2020 ) 36:e3330.
Not in our library10.1002/dmrr.3330
- 118.
Langford BJ So M Raybardhan S Leung V Westwood D MacFadden DR. Bacterial co-infection and secondary infection in patients with COVID-19: a living rapid review and meta-analysis. Clin Microbiol Infect. (2020 ) 26:1622–9.
Not in our library10.1016/j.cmi.2020.07.016
- 119.
Hernández-Garduño E. Obesity is the comorbidity more strongly associated for Covid-19 in Mexico. A case-control study. Obes Res Clin Pract. (2020 ) 14:375–9.
Not in our library10.1016/j.orcp.2020.06.001
- 120.
Holman N Knighton P Kar P O'Keefe J Curley M Weaver A. Risk factors for COVID-19-related mortality in people with type 1 and type 2 diabetes in England: a population-based cohort study. Lancet Diabetes Endocrinol. (2020 ) 8:823–33.
Not in our library10.1016/s2213-8587(20)30271-0
- 121.
Petrilli CM Jones SA Yang J Rajagopalan H O'Donnell L Chernyak Y. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. BMJ. (2020 ) 369:m1966.
Not in our library10.1136/bmj.m1966
- 122.
Bello-Chavolla OY Bahena-López JP Antonio-Villa NE Vargas-Vázquez A González-Díaz A Márquez-Salinas A. Predicting mortality due to SARS-CoV-2: a mechanistic score relating obesity and diabetes to COVID-19 outcomes in Mexico. J Clin Endocrinol Metab. (2020 ) 105:dgaa346.
Not in our library10.1210/clinem/dgaa346
- 123.
Yang X Yu Y Xu J Shu H Xia J Liu H. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. (2020 ) 8:475–81.
Not in our library10.1016/s2213-2600(20)30079-5
- 124.
Mirzaei R Goodarzi P Asadi M Soltani A Aljanabi HAA Jeda AS. Bacterial co-infections with SARS-CoV-2. IUBMB Life. (2020 ) 72:2097–111.
Not in our library10.1002/iub.2356
- 125.
- 126.
Azkur AK Akdis M Azkur D Sokolowska M van de Veen W Brüggen MC. Immune response to SARS-CoV-2 and mechanisms of immunopathological changes in COVID-19. Allergy. (2020 ) 75:1564–81.
Not in our library10.1111/all.14364
- 127.
Zhu L She ZG Cheng X Qin JJ Zhang XJ Cai J. Association of blood glucose control and outcomes in patients with COVID-19 and pre-existing type 2 diabetes. Cell Metab. (2020) 31:1068–77.e1063.
Not in our library10.1016/j.cmet.2020.04.021
- 128.
American Diabetes Association. 14. Diabetes care in the hospital: standards of medical care in diabetes-2018. Diabetes Care. (2018 ) 41(Suppl. 1):S144–51.
Not in our library10.2337/dc18-s014
- 129.
Longo M Caruso P Maiorino MI Bellastella G Giugliano D Esposito K. Treating type 2 diabetes in COVID-19 patients: the potential benefits of injective therapies. Cardiovasc Diabetol. (2020 ) 19:115.
Not in our library10.1186/s12933-020-01090-9
- 130.
Hulme KD Gallo LA Short KR. Influenza virus and glycemic variability in diabetes: a killer combination? Front Microbiol. (2017 ) 8:861.
Not in our library10.3389/fmicb.2017.00861
- 131.
Short KR Kroeze E Fouchier RAM Kuiken T. Pathogenesis of influenza-induced acute respiratory distress syndrome. Lancet Infect Dis. (2014 ) 14:57–69.
Not in our library10.1016/s1473-3099(13)70286-x
- 132.
- 133.
Goeijenbier M van Sloten TT Slobbe L Mathieu C van Genderen P Beyer WEP. Benefits of flu vaccination for persons with diabetes mellitus: a review. Vaccine. (2017 ) 35:5095–101.
Not in our library10.1016/j.vaccine.2017.07.095
- 134.
Kohio HP Adamson AL. Glycolytic control of vacuolar-type ATPase activity: a mechanism to regulate influenza viral infection. Virology. (2013 ) 444:301–9.
Not in our library10.1016/j.virol.2013.06.026
- 135.
Bechini A Ninci A Del Riccio M Biondi I Bianchi J Bonanni P. Impact of influenza vaccination on all-cause mortality and hospitalization for pneumonia in adults and the elderly with diabetes: a meta-analysis of observational studies. Vaccines. (2020 ) 8:263.
Not in our library10.3390/vaccines8020263
- 136.
Wiwanitkit V. Influenza and diabetes mellitus. Diabetes Metab Syndrome Clin Res Rev. (2010 ) 4:99–100.
Not in our library10.1016/j.dsx.2009.07.001
- 137.
Apicella M Campopiano MC Mantuano M Mazoni L Coppelli A Del Prato S. COVID-19 in people with diabetes: understanding the reasons for worse outcomes. Lancet Diabetes Endocrinol. (2020 ) 8:782–92.
Not in our library10.1016/s2213-8587(20)30238-2
- 138.
Ganesan SK Venkatratnam P Mahendra J Devarajan N. Increased mortality of COVID-19 infected diabetes patients: role of furin proteases. Int J Obes. (2020 ) 44:2486–8.
Not in our library10.1038/s41366-020-00670-9
- 139.
Shen Y Zhang J Cai H Shao JG Zhang YY Liu YM. Identifying patients with chronic hepatitis B at high risk of type 2 diabetes mellitus: a cross-sectional study with pair-matched controls. BMC Gastroenterol. (2015 ) 15:32.
Not in our library10.1186/s12876-015-0263-9
- 140.
- 141.
Hammerstad SS Grock SF Lee HJ Hasham A Sundaram N Tomer Y. Diabetes and hepatitis C: a two-way association. Front Endocrinol. (2015 ) 6:134.
Not in our library10.3389/fendo.2015.00134
- 142.
Kalra S Kalra B Agrawal N Unnikrishnan A. Understanding diabetes in patients with HIV/AIDS. Diabetol Metab Syndr. (2011 ) 3:2.
Not in our library10.1186/1758-5996-3-2
- 143.
Kalra S Agrawal N. Diabetes and HIV: current understanding and future perspectives. Curr Diab Rep. (2013 ) 13:419–27.
Not in our library10.1007/s11892-013-0369-9
- 144.
Corsino L Dhatariya K Umpierrez G. Management of Diabetes and Hyperglycemia in Hospitalized Patients. South Dartmouth, MA: MDText.com, Inc. (2000 ). Available online at: https://www.ncbi.nlm.nih.gov/books/NBK279093/
Not in our library
- 145.
Guo X Jin M Yang M Liu K Li JW. Type 2 diabetes mellitus and the risk of hepatitis C virus infection: a systematic review. Sci Rep. (2013 ) 3:2981.
Not in our library10.1038/srep02981
- 146.
Li X Gao Y Xu H Hou J Gao P. Diabetes mellitus is a significant risk factor for the development of liver cirrhosis in chronic hepatitis C patients. Sci Rep. (2017 ) 7:9087.
Not in our library10.1038/s41598-017-09825-7
- 147.
Zhang X Zhu X Ji Y Li H Hou F Xiao C. Increased risk of hepatitis B virus infection amongst individuals with diabetes mellitus. Biosci Rep. (2019 ) 39:BSR20181715.
Not in our library10.1042/bsr20181715
- 148.
Allison ME Wreghitt T Palmer CR Alexander GJ. Evidence for a link between hepatitis C virus infection and diabetes mellitus in a cirrhotic population. J Hepatol. (1994 ) 21:1135–9.
Not in our library10.1016/s0168-8278(05)80631-2
- 149.
Reilly ML Schillie SF Smith E Poissant T Vonderwahl CW Gerard K. Increased risk of acute hepatitis B among adults with diagnosed diabetes mellitus. J Diabetes Sci Technol. (2012 ) 6:858–66.
Not in our library10.1177/193229681200600417
- 150.
Dyal HK Aguilar M Bartos G Holt EW Bhuket T Liu B. Diabetes mellitus increases risk of hepatocellular carcinoma in chronic hepatitis C virus patients: a systematic review. Dig Dis Sci. (2016 ) 61:636–45.
Not in our library10.1007/s10620-015-3983-3
- 151.
Villar LM Geloneze B Vasques ACJ Pires MLE Miguel JC da Silva EF. Prevalence of hepatitis B and hepatitis C among diabetes mellitus type 2 individuals. PLoS ONE. (2019 ) 14:e0211193.
Not in our library10.1371/journal.pone.0211193
- 152.
Lai SW Chen PC Liao KF Muo CH Lin CC Sung FC. Risk of hepatocellular carcinoma in diabetic patients and risk reduction associated with anti-diabetic therapy: a population-based cohort study. Am J Gastroenterol. (2012 ) 107:46–52.
Not in our library10.1038/ajg.2011.384
- 153.
Giovannucci E Harlan DM Archer MC Bergenstal RM Gapstur SM Habel LA. Diabetes and cancer: a consensus report. Diabetes Care. (2010 ) 33:1674–85.
Not in our library10.2337/dc10-0666
- 154.
Zelenko Z Gallagher EJ. Diabetes and cancer. Endocrinol Metab Clin North Am. (2014 ) 43:167–85.
Not in our library10.1016/j.ecl.2013.09.008
- 155.
Duncan AD Goff LM Peters BS. Type 2 diabetes prevalence and its risk factors in HIV: a cross-sectional study. PLoS ONE. (2018 ) 13:e0194199.
Not in our library10.1371/journal.pone.0194199
- 156.
Noubissi EC Katte JC Sobngwi E. Diabetes and HIV. Curr Diab Rep. (2018 ) 18:125.
Not in our library10.1007/s11892-018-1076-3
- 157.
Hernandez-Romieu AC Garg S Rosenberg ES Thompson-Paul AM Skarbinski J. Is diabetes prevalence higher among HIV-infected individuals compared with the general population? Evidence from MMP and NHANES 2009-2010. BMJ Open Diabetes Res Care. (2017 ) 5:e000304.
Not in our library10.1136/bmjdrc-2016-000304
- 158.
Samad F Harris M Puskas CM Ye M Chia J Chacko S. Incidence of diabetes mellitus and factors associated with its development in HIV-positive patients over the age of 50. BMJ Open Diabetes Res Care. (2017 ) 5:e000457.
Not in our library10.1136/bmjdrc-2017-000457
- 159.
Samaras K. The burden of diabetes and hyperlipidemia in treated HIV infection and approaches for cardiometabolic care. Curr HIV AIDS Rep. (2012 ) 9:206–17.
Not in our library10.1007/s11904-012-0124-x
- 160.
Vigouroux C Maachi M Nguyên TH Coussieu C Gharakhanian S Funahashi T. Serum adipocytokines are related to lipodystrophy and metabolic disorders in HIV-infected men under antiretroviral therapy. AIDS. (2003 ) 17:1503–11.
Not in our library10.1097/00002030-200307040-00011
- 161.
Mehta SH Brancati FL Sulkowski MS Strathdee SA Szklo M Thomas DL. Prevalence of type 2 diabetes mellitus among persons with hepatitis C virus infection in the United States. Ann Intern Med. (2000 ) 133:592–9.
Not in our library10.7326/0003-4819-133-8-200010170-00009
- 162.
Takarabe D Rokukawa Y Takahashi Y Goto A Takaichi M Okamoto M. Autoimmune diabetes in HIV-infected patients on highly active antiretroviral therapy. J Clin Endocrinol Metab. (2010 ) 95:4056–60.
Not in our library10.1210/jc.2010-0055
- 163.
Barnes AJ Locke P Scudder PR Dormandy TL Dormandy JA Slack J. Is hyperviscosity a treatable component of diabetic microcirculatory disease? Lancet. (1977 ) 2:789–91.
Not in our library10.1016/s0140-6736(77)90724-3
- 164.
Melkumyants AM Balashov SA. Effect of blood viscocity on arterial flow induced dilator response. Cardiovasc Res. (1990 ) 24:165–8.
Not in our library10.1093/cvr/24.2.165
- 165.
Duckrow RB Beard DC Brennan RW. Regional cerebral blood flow decreases during chronic and acute hyperglycemia. Stroke. (1987 ) 18:52–8.
Not in our library10.1161/01.str.18.1.52
- 166.
Franca EL Ribeiro EB Scherer EF Cantarini DG Pessoa RS Franca FL. Effects of Momordica charantia L. on the blood rheological properties in diabetic patients. Biomed Res Int. (2014 ) 2014:840379.
Not in our library10.1155/2014/840379
- 167.
Watala C Zawodniak M Bryszewska M Nowak S. Nonenzymatic protein glycosylation. I. Lowered erythrocyte membrane fluidity in juvenile diabetes. Ann Clin Res. (1985 ) 17:327–30.
Not in our library
- 168.
Cho YI Mooney MP Cho DJ. Hemorheological disorders in diabetes mellitus. J Diabetes Sci Technol. (2008 ) 2:1130–8.
Not in our library10.1177/193229680800200622
- 169.
Zygun DA Steiner LA Johnston AJ Hutchinson PJ Al-Rawi PG Chatfield D. Hyperglycemia and brain tissue pH after traumatic brain injury. Neurosurgery. (2004 ) 55:877–81; discussion 882.
Not in our library10.1227/01.neu.0000137658.14906.e4
- 170.
Le Devehat C Khodabandehlou T Vimeux M. Relationship between hemorheological and microcirculatory abnormalities in diabetes mellitus. Diabetes Metab. (1994 ) 20:401–4.
Not in our library
- 171.
Kim S Popel AS Intaglietta M Johnson PC. Effect of erythrocyte aggregation at normal human levels on functional capillary density in rat spinotrapezius muscle. Am J Physiol Heart Circ Physiol. (2006 ) 290:H941–7.
Not in our library10.1152/ajpheart.00645.2005
- 172.
Agudelo-Flórez P Costa-Carvalho BT López JA Redher J Newburger PE Olalla-Saad ST. Association of glucose-6-phosphate dehydrogenase deficiency and X-linked chronic granulomatous disease in a child with anemia and recurrent infections. Am J Hematol. (2004 ) 75:151–6.
Not in our library10.1002/ajh.10477
- 173.
Greif R Akça O Horn EP Kurz A Sessler DI. Supplemental perioperative oxygen to reduce the incidence of surgical-wound infection. N Engl J Med. (2000 ) 342:161–7.
Not in our library10.1056/nejm200001203420303
- 174.
Al-Niaimi A Safdar N. Supplemental perioperative oxygen for reducing surgical site infection: a meta-analysis. J Eval Clin Pract. (2009 ) 15:360–5.
Not in our library10.1111/j.1365-2753.2008.01016.x
- 175.
Rodriguez PG Felix FN Woodley DT Shim EK. The role of oxygen in wound healing: a review of the literature. Dermatol Surg. (2008 ) 34:1159–69.
Not in our library10.1111/j.1524-4725.2008.34254.x
- 176.
Lowe GD Lowe JM Drummond MM Reith S Belch JJ Kesson CM. Blood viscosity in young male diabetics with and without retinopathy. Diabetologia. (1980 ) 18:359–63.
Not in our library10.1007/bf00276814
- 177.
Umpierrez GE Kitabchi AE. Diabetic ketoacidosis: risk factors and management strategies. Treat Endocrinol. (2003 ) 2:95–108.
Not in our library10.2165/00024677-200302020-00003
- 178.
Wolfsdorf J Glaser N Sperling MA. Diabetic ketoacidosis in infants, children, and adolescents: a consensus statement from the American Diabetes Association. Diabetes Care. (2006 ) 29:1150–9.
Not in our library10.2337/diacare.2951150
- 179.
Charfen MA Fernández-Frackelton M. Diabetic ketoacidosis. Emerg Med Clin North Am. (2005 ) 23:609–28.
Not in our library10.1016/j.emc.2005.03.009
- 180.
Kraut JA Madias NE. Metabolic acidosis: pathophysiology, diagnosis and management. Nat Rev Nephrol. (2010 ) 6:274–85.
Not in our library10.1038/nrneph.2010.33
- 181.
Azoulay E Chevret S Didier J Barboteu M Bornstain C Darmon M. Infection as a trigger of diabetic ketoacidosis in intensive care-unit patients. Clin Infect Dis. (2001 ) 32:30–5.
Not in our library10.1086/317554
- 182.
Slovis CM Mork VG Slovis RJ Bain RP. Diabetic ketoacidosis and infection: leukocyte count and differential as early predictors of serious infection. Am J Emerg Med. (1987 ) 5:1–5.
Not in our library10.1016/0735-6757(87)90280-4
- 183.
Dökmetaş HS Canbay E Yilmaz S Elaldi N Topalkara A Oztoprak I. Diabetic ketoacidosis and rhino-orbital mucormycosis. Diabetes Res Clin Pract. (2002 ) 57:139–42.
Not in our library10.1016/s0168-8227(02)00021-9
- 184.
Gen R Horasan E Vaysoglu Y Arpaci RB Ersöz G Özcan C. Rhino-orbito-cerebral mucormycosis in patients with diabetic ketoacidosis. J Craniofac Surg. (2013 ) 24:e144–7.
Not in our library10.1097/scs.0b013e31827c7eb8
- 185.
Grizzanti JN Knapp A. Diabetic ketoacidosis and invasive aspergillosis. Lung. (1981 ) 159:43–9.
Not in our library10.1007/bf02713896
- 186.
Elmas ÖN Akinci A Bilir P. Tuberculous meningitis associated with diabetic ketoacidosis. J Clin Res Pediatr Endocrinol. (2011 ) 3:222–4.
Not in our library10.4274/jcrpe.373
- 187.
Westphal SA Sarosi GA. Diabetic ketoacidosis associated with pulmonary coccidioidomycosis. Clin Infect Dis. (1994 ) 18:974–8.
Not in our library10.1093/clinids/18.6.974
- 188.
Nahas GG Tannieres ML Lennon JF. Direct measurement of leukocyte motility: effects of pH and temperature. Proc Soc Exp Biol Med. (1971 ) 138:350–2.
Not in our library10.3181/00379727-138-35894
- 189.
Rotstein OD Fiegel VD Simmons RL Knighton DR. The deleterious effect of reduced pH and hypoxia on neutrophil migration in vitro. J Surg Res. (1988 ) 45:298–303.
Not in our library10.1016/0022-4804(88)90079-0
- 190.
Gabig TG Bearman SI Babior BM. Effects of oxygen tension and pH on the respiratory burst of human neutrophils. Blood. (1979 ) 53:1133–9.
Not in our library
- 191.
Rotstein OD Nasmith PE Grinstein S. The Bacteroides by-product succinic acid inhibits neutrophil respiratory burst by reducing intracellular pH. Infect Immun. (1987 ) 55:864–70.
Not in our library10.1128/iai.55.4.864-870.1987
- 192.
Craven N Williams MR Field TR Bunch KJ Mayer SJ Bourne FJ. The influence of extracellular and phagolysosomal pH changes on the bactericidal activity of bovine neutrophils against Staphylococcus aureus. Vet Immunol Immunopathol. (1986 ) 13:97–110.
Not in our library10.1016/0165-2427(86)90052-8
- 193.
Loeffler DA Juneau PL Masserant S. Influence of tumour physico-chemical conditions on interleukin-2-stimulated lymphocyte proliferation. Br J Cancer. (1992 ) 66:619–22.
Not in our library10.1038/bjc.1992.326
- 194.
Ratner S. Lymphocytes stimulated with recombinant human interleukin-2: relationship between motility into protein matrix and in vivo localization in normal and neoplastic tissues of mice. J Natl Cancer Inst. (1990 ) 82:612–6.
Not in our library10.1093/jnci/82.7.612
- 195.
Ratner S. Motility of IL-2-stimulated lymphocytes in neutral and acidified extracellular matrix. Cell Immunol. (1992 ) 139:399–410.
Not in our library10.1016/0008-8749(92)90081-y
- 196.
Xie Z Askari A. Na(+)/K(+)-ATPase as a signal transducer. Eur J Biochem. (2002 ) 269:2434–9.
Not in our library10.1046/j.1432-1033.2002.02910.x
- 197.
- 198.
Radosinska J Vrbjar N. The role of red blood cell deformability and Na,K-ATPase function in selected risk factors of cardiovascular diseases in humans: focus on hypertension, diabetes mellitus and hypercholesterolemia. Physiol Res. (2016 ) 65(Suppl. 1):S43–54.
Not in our library10.33549/physiolres.933402
- 199.
Rodrigues-Mascarenhas S Da Silva de Oliveira A Amoedo ND Affonso-Mitidieri OR Rumjanek FD Rumjanek VM. Modulation of the immune system by ouabain. Ann N Y Acad Sci. (2009 ) 1153:153–63.
Not in our library10.1111/j.1749-6632.2008.03969.x
- 200.
De La Tour DD Raccah D Jannot MF Coste T Rougerie C Vague P. Erythrocyte Na/K ATPase activity and diabetes: relationship with C-peptide level. Diabetologia. (1998 ) 41:1080–4.
Not in our library10.1007/s001250051033
- 201.
Zadhoush F Sadeghi M Pourfarzam M. Biochemical changes in blood of type 2 diabetes with and without metabolic syndrome and their association with metabolic syndrome components. J Res Med Sci. (2015 ) 20:763–70.
Not in our library10.4103/1735-1995.168383
- 202.
Abosheasha M Fm Z Bessa S Mohamed T. Na+/K+-ATPase activity as a potential biomarker for type 2 diabetes mellitus. Res J Pharm Biol Chem Sci. (2018 ) 9:1227–31. Available online at: https://www.researchgate.net/publication/324825574_NaK-ATPase_activity_as_a_potential_biomarker_for_Type_2_Diabetes_mellitus/stats
Not in our library
- 203.
Tokhtaeva E Munson K Sachs G Vagin O. N-glycan-dependent quality control of the Na,K-ATPase beta(2) subunit. Biochemistry. (2010 ) 49:3116–28.
Not in our library10.1021/bi100115a
- 204.
Redondo JM López Rivas A Fresno M. Activation of the Na+/K+-ATPase by interleukin-2. FEBS Lett. (1986 ) 206:199–202.
Not in our library10.1016/0014-5793(86)80980-2
- 205.
Brodie C Tordai A Saloga J Domenico J Gelfand EW. Ouabain induces inhibition of the progression phase in human T-cell proliferation. J Cell Physiol. (1995 ) 165:246–53.
Not in our library10.1002/jcp.1041650205
- 206.
Rodrigues-Mascarenhas S Bloise FF Moscat J Rumjanek VM. Ouabain inhibits p38 activation in thymocytes. Cell Biol Int. (2008 ) 32:1323–8.
Not in our library10.1016/j.cellbi.2008.07.012
- 207.
Chow CW Rincón M Davis RJ. Requirement for transcription factor NFAT in interleukin-2 expression. Mol Cell Biol. (1999 ) 19:2300–7.
Not in our library10.1128/mcb.19.3.2300
- 208.
Horowitz A Stegmann KA Riley EM. Activation of natural killer cells during microbial infections. Front Immunol. (2011 ) 2:88.
Not in our library10.3389/fimmu.2011.00088
- 209.
Brownlee M Vlassara H Cerami A. Nonenzymatic glycosylation and the pathogenesis of diabetic complications. Ann Intern Med. (1984 ) 101:527–37.
Not in our library10.7326/0003-4819-101-4-527
- 210.
Jain SK. Glutathione and glucose-6-phosphate dehydrogenase deficiency can increase protein glycosylation. Free Radic Biol Med. (1998 ) 24:197–201.
Not in our library10.1016/s0891-5849(97)00223-2
- 211.
Mehta A Mason PJ Vulliamy TJ. Glucose-6-phosphate dehydrogenase deficiency. Baillieres Best Pract Res Clin Haematol. (2000 ) 13:21–38.
Not in our library10.1053/beha.1999.0055
- 212.
Díaz-Flores M Ibáñez-Hernández MA Galván RE Gutiérrez M Durán-Reyes G Medina-Navarro R. Glucose-6-phosphate dehydrogenase activity and NADPH/NADP+ ratio in liver and pancreas are dependent on the severity of hyperglycemia in rat. Life Sci. (2006 ) 78:2601–7.
Not in our library10.1016/j.lfs.2005.10.022
- 213.
Hsieh YT Lin MH Ho HY Chen LC Chen CC Shu JC. Glucose-6-phosphate dehydrogenase. (G6PD)-deficient epithelial cells are less tolerant to infection by Staphylococcus aureus. PLoS ONE. (2013 ) 8:e79566.
Not in our library10.1371/journal.pone.0079566
- 214.
West IC. Glucose-6-phosphate dehydrogenase: a candidate gene for diabetes. Diabet Med. (2002 ) 19:172–4.
Not in our library10.1046/j.1464-5491.2002.690_1.x
- 215.
Perner A Nielsen SE Rask-Madsen J. High glucose impairs superoxide production from isolated blood neutrophils. Intensive Care Med. (2003 ) 29:642–5.
Not in our library10.1007/s00134-002-1628-4
- 216.
Wang R Dillon CP Shi LZ Milasta S Carter R Finkelstein D. The transcription factor Myc controls metabolic reprogramming upon T lymphocyte activation. Immunity. (2011 ) 35:871–82.
Not in our library10.1016/j.immuni.2011.09.021
- 217.
Bellanti JA Cantz BE Schlegel RJ. Accelerated decay of glucose 6-phosphate dehydrogenase activity in chronic granulomatous disease. Pediatr Res. (1970 ) 4:405–11.
Not in our library10.1203/00006450-197009000-00003
- 218.
Zhang Z Apse K Pang J Stanton RC. High glucose inhibits glucose-6-phosphate dehydrogenase via cAMP in aortic endothelial cells. J Biol Chem. (2000 ) 275:40042–7.
Not in our library10.1074/jbc.m007505200
- 219.
Nielson CP Hindson DA. Inhibition of polymorphonuclear leukocyte respiratory burst by elevated glucose concentrations in vitro. Diabetes. (1989 ) 38:1031–5.
Not in our library10.2337/diab.38.8.1031
- 220.
Cade WT. Diabetes-related microvascular and macrovascular diseases in the physical therapy setting. Phys Ther. (2008 ) 88:1322–35.
Not in our library10.2522/ptj.20080008
- 221.
Liamis G Liberopoulos E Barkas F Elisaf M. Diabetes mellitus and electrolyte disorders. World J Clin Cases. (2014 ) 2:488–96.
Not in our library10.12998/wjcc.v2.i10.488
- 222.
Brunetti L Kalabalik J. Management of type-2 diabetes mellitus in adults: focus on individualizing non-insulin therapies. P T. (2012 ) 37:687–96.
Not in our library
- 223.
Mendy A Gopal R Alcorn JF Forno E. Reduced mortality from lower respiratory tract disease in adult diabetic patients treated with metformin. Respirology. (2019 ) 24:646–51.
Not in our library10.1111/resp.13486
- 224.
Garnett JP Baker EH Naik S Lindsay JA Knight GM Gill S. Metformin reduces airway glucose permeability and hyperglycaemia-induced Staphylococcus aureus load independently of effects on blood glucose. Thorax. (2013 ) 68:835–45.
Not in our library10.1136/thoraxjnl-2012-203178
- 225.
Gill SK Hui K Farne H Garnett JP Baines DL Moore LS. Increased airway glucose increases airway bacterial load in hyperglycaemia. Sci Rep. (2016 ) 6:27636.
Not in our library10.1038/srep27636
- 226.
Pan SW Yen YF Kou YR Chuang PH Su VY Feng JY. The risk of TB in patients with type 2 diabetes initiating metformin vs sulfonylurea treatment. Chest. (2018 ) 153:1347–57.
Not in our library10.1016/j.chest.2017.11.040
- 227.
Shih CJ Wu YL Chao PW Kuo SC Yang CY Li SY. Association between Use of oral anti-diabetic drugs and the risk of sepsis: a nested case-control study. Sci Rep. (2015 ) 5:15260.
Not in our library10.1038/srep15260
- 228.
Marin-Penalver JJ Martin-Timon I Sevillano-Collantes C Del Canizo-Gomez FJ. Update on the treatment of type 2 diabetes mellitus. World J Diabetes. (2016 ) 7:354–95.
Not in our library10.4239/wjd.v7.i17.354
- 229.
Martin AE Montgomery PA. Acarbose: an alpha-glucosidase inhibitor. Am J Health Syst Pharm. (1996 ) 53:2277–90.
Not in our library10.1093/ajhp/53.19.2277
- 230.
Diamant M Heine RJ. Thiazolidinediones in type 2 diabetes mellitus: current clinical evidence. Drugs. (2003 ) 63:1373–405.
Not in our library10.2165/00003495-200363130-00004
- 231.
Pathak R Bridgeman MB. Dipeptidyl Peptidase-4. (DPP-4) inhibitors in the management of diabetes. P T. (2010 ) 35:509–13. Available online at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2957740/
Not in our library
- 232.
Baruah MP Makkar BM Ghatnatti VB Mandal K. Sodium glucose co-transporter-2 inhibitor: benefits beyond glycemic control. Indian J Endocrinol Metab. (2019 ) 23:140–9.
Not in our library10.4103/ijem.ijem_160_17
- 233.
A.D.A. 9. pharmacologic approaches to glycemic treatment: standards of medical care in diabetes-2019. Diabetes Care. (2019 ) 42(Suppl. 1):S90–102.
Not in our library10.2337/dc19-s009
- 234.
Patkee WR Carr G Baker EH Baines DL Garnett JP. Metformin prevents the effects of Pseudomonas aeruginosa on airway epithelial tight junctions and restricts hyperglycaemia-induced bacterial growth. J Cell Mol Med. (2016 ) 20:758–64.
Not in our library10.1111/jcmm.12784
- 235.
- 236.
Yen FS Wei JC Yang YC Hsu CC Hwu CM. Respiratory outcomes of metformin use in patients with type 2 diabetes and chronic obstructive pulmonary disease. Sci Rep. (2020 ) 10:10298.
Not in our library10.1038/s41598-020-67338-2
- 237.
Gorricho J Garjón J Alonso A Celaya MC Saiz LC Erviti J. Use of oral antidiabetic agents and risk of community-acquired pneumonia: a nested case-control study. Br J Clin Pharmacol. (2017 ) 83:2034–44.
Not in our library10.1111/bcp.13288
- 238.
Kofteridis DP Giourgouli G Plataki MN Andrianaki AM Maraki S Papadakis JA. Community-acquired pneumonia in elderly adults with type 2 diabetes mellitus. J Am Geriatr Soc. (2016 ) 64:649–51.
Not in our library10.1111/jgs.14011
- 239.
Astrand A Wingren C Benjamin A Tregoning JS Garnett JP Groves H. Dapagliflozin-lowered blood glucose reduces respiratory Pseudomonas aeruginosa infection in diabetic mice. Br J Pharmacol. (2017 ) 174:836–47.
Not in our library10.1111/bph.13741
- 240.
Mor A Petersen I Sørensen HT Thomsen RW. Metformin and other glucose-lowering drug initiation and rates of community-based antibiotic use and hospital-treated infections in patients with type 2 diabetes: a Danish nationwide population-based cohort study. BMJ Open. (2016 ) 6:e011523.
Not in our library10.1136/bmjopen-2016-011523
- 241.
Kim SC Schneeweiss S Glynn RJ Doherty M Goldfine AB Solomon DH. Dipeptidyl peptidase-4 inhibitors in type 2 diabetes may reduce the risk of autoimmune diseases: a population-based cohort study. Ann Rheum Dis. (2015 ) 74:1968–75.
Not in our library10.1136/annrheumdis-2014-205216
- 242.
Drucker DJ Nauck MA. The incretin system: glucagon-like peptide-1 receptor agonists and dipeptidyl peptidase-4 inhibitors in type 2 diabetes. Lancet. (2006 ) 368:1696–705.
Not in our library10.1016/s0140-6736(06)69705-5
- 243.
Morieri ML Bonora BM Longato E Di Camilo B Sparacino G Tramontan L. Exposure to dipeptidyl-peptidase 4 inhibitors and the risk of pneumonia among people with type 2 diabetes: retrospective cohort study and meta-analysis. Diabetes Obes Metab. (2020 ) 22:1925–34.
Not in our library10.1111/dom.14142
- 244.
Tournis S Mitrakou A. The effects of calcium and vitamin D supplementation on blood glucose and markers of inflammation in nondiabetic adults: response to Pittas et al. Diabetes Care. (2007 ) 30:e81.
Not in our library10.2337/dc07-0665
- 245.
Cryer PE Axelrod L Grossman AB Heller SR Montori VM Seaquist ER. Evaluation and management of adult hypoglycemic disorders: an Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. (2009 ) 94:709–28.
Not in our library10.1210/jc.2008-1410
- 246.
Sherwani SI Khan HA Ekhzaimy A Masood A Sakharkar MK. Significance of HbA1c test in diagnosis and prognosis of diabetic patients. Biomark Insights. (2016 ) 11:95–104.
Not in our library10.4137/bmi.s38440
- 247.
Lipska KJ Warton EM Huang ES Moffet HH Inzucchi SE Krumholz HM. HbA1c and risk of severe hypoglycemia in type 2 diabetes: the Diabetes and Aging Study. Diabetes Care. (2013 ) 36:3535–42.
Not in our library10.2337/dc13-0610
- 248.
Chico A Aguilera E Ampudia-Blasco FJ Bellido V Cardona-Hernández R Escalada FJ. Clinical approach to flash glucose monitoring: an expert recommendation. J Diabetes Sci Technol. (2020 ) 14:155–64.
Not in our library10.1177/1932296819841911
- 249.
Chiu PF Wu CL Huang CH Liou HH Chang CB Chang HR. Lower blood glucose and variability are associated with earlier recovery from renal injury caused by episodic urinary tract infection in advanced type 2 diabetic chronic kidney disease. PLoS ONE. (2014 ) 9:e108531.
Not in our library10.1371/journal.pone.0108531
- 250.
Sehgal R Berg A Figueroa R Poritz LS McKenna KJ Stewart DB. Risk factors for surgical site infections after colorectal resection in diabetic patients. J Am Coll Surg. (2011 ) 212:29–34.
Not in our library10.1016/j.jamcollsurg.2010.09.011
- 251.
- 252.
Monnier L Mas E Ginet C Michel F Villon L Cristol JP. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA. (2006 ) 295:1681–7.
Not in our library10.1001/jama.295.14.1681
- 253.
Siegelaar SE Kerr L Jacober SJ Devries JH. A decrease in glucose variability does not reduce cardiovascular event rates in type 2 diabetic patients after acute myocardial infarction: a reanalysis of the HEART2D study. Diabetes Care. (2011 ) 34:855–7.
Not in our library10.2337/dc10-1684
- 254.
Iqbal A Prince LR Novodvorsky P Bernjak A Thomas MR Birch L. Effect of hypoglycemia on inflammatory responses and the response to low-dose endotoxemia in humans. J Clin Endocrinol Metab. (2019 ) 104:1187–99.
Not in our library10.1210/jc.2018-01168
- 255.
Daly ME Vale C Walker M Littlefield A Alberti KG Mathers JC. Acute effects on insulin sensitivity and diurnal metabolic profiles of a high-sucrose compared with a high-starch diet. Am J Clin Nutr. (1998 ) 67:1186–96.
Not in our library10.1093/ajcn/67.6.1186
- 256.
Mihai BM Mihai C Cijevschi-Prelipcean C Grigorescu ED Dranga M Drug V. Bidirectional relationship between gastric emptying and plasma glucose control in normoglycemic individuals and diabetic patients. J Diabetes Res. (2018 ) 2018:1736959.
Not in our library10.1155/2018/1736959
- 257.
Marathe CS Rayner CK Jones KL Horowitz M. Relationships between gastric emptying, postprandial glycemia, and incretin hormones. Diabetes Care. (2013 ) 36:1396–405.
Not in our library10.2337/dc12-1609
- 258.
Phillips LK Deane AM Jones KL Rayner CK Horowitz M. Gastric emptying and glycaemia in health and diabetes mellitus. Nat Rev Endocrinol. (2015 ) 11:112–28.
Not in our library10.1038/nrendo.2014.202
- 259.
Bailey CJ. Glucose-lowering therapies in type 2 diabetes: opportunities and challenges for peptides. Peptides. (2018 ) 100:9–17.
Not in our library10.1016/j.peptides.2017.11.012
- 260.
Pilemann-Lyberg S Thorsteinsson B Snorgaard O Zander M Vestergaard H Røder ME. Severe hypoglycaemia during treatment with sulphonylureas in patients with type 2 diabetes in the Capital Region of Denmark. Diabetes Res Clin Pract. (2015 ) 110:202–7.
Not in our library10.1016/j.diabres.2015.09.006
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.