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Autophagy and Alzheimer’s Disease: From Molecular Mechanisms to Therapeutic Implications
Md. Sahab Uddin, Anna Stachowiak, Abdullah Al Mamun and 6 more
Frontiers in Aging Neuroscience · 2018 · Review
Abstract
Alzheimer’s disease (AD) is the most common cause of progressive dementia in the elderly. It is characterized by a progressive and irreversible loss of cognitive abilities and formation of senile plaques, composed mainly of amyloid β (Aβ), and neurofibrillary tangles (NFTs), composed of tau protein, in the hippocampus and cortex of afflicted humans. In brains of AD patients the metabolism of Aβ is dysregulated, which leads to the accumulation and aggregation of Aβ. Metabolism of Aβ and tau proteins is crucially influenced by autophagy. Autophagy is a lysosome-dependent, homeostatic process, in which organelles and proteins are degraded and recycled into energy. Thus, dysfunction of autophagy is suggested to lead to the accretion of noxious proteins in the AD brain. In the present review, we describe the process of autophagy and its importance in AD. Additionally, we discuss mechanisms and genes linking autophagy and AD, i.e., the mTOR pathway, neuroinflammation, endocannabinoid system, ATG7, BCL2, BECN1, CDK5, CLU, CTSD, FOXO1, GFAP, ITPR1, MAPT, PSEN1, SNCA, UBQLN1, and UCHL1. We also present pharmacological agents acting via modulation of autophagy that may show promise in AD therapy. This review updates our knowledge on autophagy mechanisms proposing novel therapeutic targets for the treatment of AD.
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From PubMed Central, U.S. National Library of Medicine, as current on Oct 17, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
Introduced to biology in 1963 by Belgian biochemist Christian de Duve autophagy (from Greek “self-eating”) is an intracellular self-degradative process that is responsible for the systematic degradation and recycling of cellular components such as misfolded or accumulated proteins and damaged organelles. In 2016, the Japanese cell biologist Yoshinori Ohsumi was awarded Nobel Prize in Physiology or Medicine for identification of autophagy-related genes and the discovery of the mechanisms of autophagy.
Autophagy has been classified into three categories based on the mechanism by which intracellular constituents are supplied into lysosome for degradation: microautophagy, chaperone-mediated autophagy, and macroautophagy. In microautophagy, the cytoplasmic material is absorbed into lysosome by direct invagination of the lysosomal membrane. The chaperone-mediated autophagy facilitates the degradation of cytosolic proteins by directly targeting them to lysosomes and into the lysosomal lumen. In macroautophagy, degradable contents of cytoplasm are encapsulated in subcellular double-membrane structures named “autophagosomes”. Autophagosomes transport the cell “waste” to the lysosomes for degradation. Macroautophagy is the most predominant form of autophagy and will be denoted as such in this review.
Healthy mammalian cells show a low basal level of autophagy. This basal autophagic activity plays a dominant role in the intracellular homeostatic turnover of proteins and organelles. Basal activity of autophagy is essential in post-mitotic neuronal cells, possibly due to their inability to dilute noxious components through cell division. Autophagic activity is enhanced by diverse stresses such as nutrient starvation, hypoxia or inflammation. Enhanced autophagy participates in various physiological processes and pathological conditions, including cell death, removal of microorganisms invading the cell, and tumor suppression. On the other hand, reduced autophagic potential is associated with aging. During autophagy, proteins are degraded into amino acids, which provide an energy source and are likely used as building blocks for protein synthesis. Thus, dysregulated autophagy may result in accumulation of proteins inside the cell. Various autophagy dysfunctions may contribute to neurodegeneration or neurodegeneration-like symptoms, for example inhibition of the fusion of an autophagosome with a lysosome, reduction of lysosomal acidification or accumulation of proteins in cells.
Alzheimer’s disease is the most predominant type of dementia diagnosed in the aged people. It is characterized by a chronic, irreversible, and progressive neuronal degradation in the human brain caused by complex pathophysiological processes, including oxidative stress, neuroinflammation, excitotoxicity, mitochondrial dysfunction, proteolytic stress, and more. Formation of intracellular NFTs and extracellular senile plaques in the brain are two common hallmarks of AD. NFTs consist of aggregated, abnormally hyperphosphorylated MAPT. Senile plaques are primarily composed of insoluble and toxic amyloid-β (Aβ) peptides and of dysfunctional dystrophic neurites, which include abnormally large amounts of neurofilament, tau, or chromogranin A proteins.
Despite the accumulated wealth of knowledge, AD remains incurable. The significance of autophagy in pathophysiology of AD is now appreciated due to the discoveries of molecular mechanisms for autophagy. The objective of this review is to introduce an outline of the discovery of autophagy and describe the relationship between autophagy and AD.
Please consider, that in the present review the names of genes are written in italic, while names of proteins are written in standard font. Names of human or Saccharomyces sp. genes/proteins are written in all capital letters. Names of rodent genes/proteins are written in capital letter followed by small letters.
Lysosome
In the mid 1950’s researchers explored a novel specialized cellular substructure (organelle), encapsulating enzymes that digest macromolecules such as proteins and lipids. This compartment was named “lysosome”. The lysosome was discovered by the Belgian cytologist and biochemist Christian de Duve. For this achievement de Duve was awarded the 1974 Nobel Prize in Physiology or Medicine.
The lysosome is generally 100–1500 nanometers in diameter and enclosed by a typical lipid bilayer membrane. Lysosomes contain more than 60 different hydrolase enzymes such as proteases and lipases. The lysosomal enzymes are the most active in acidic environment, such as this in the lumen of a lysosome (pH of approximately 4.6). This characteristic of lysosomal enzymes provides protection against unrestrained, pathological digestion of the constituents of the cell, as cytosol pH is almost neutral (pH 7.2). Hence, even if lysosomal membrane would become damaged and the enzymes were to leak into the cytosol, harm to the cell itself would be minimal.
Lysosomes serve as an intracellular digestive system protecting the cell from its unused and/or noxious constituents. Furthermore, lysosomes are involved in various cell processes, including secretion, cell membrane repair, cell signaling and energy metabolism. Mutations in the genes involved in the synthesis of lysosomal proteins have been linked to over 40 human genetic diseases (lysosomal storage diseases).
Proteasome
Like autophagy, the ubiquitin-proteasome system is another degradation pathway for cellular proteins. During the 1970’s and 1980’s, researchers began to study second system of cell protein degradation, namely the “proteasome”. The significance of intracellular proteolytic degradation and the contribution of ubiquitin-proteasome system to the proteolytic pathways (i.e., discovery of ubiquitin-mediated proteolysis) was acknowledged with the award of the Nobel Prize in Chemistry in 2004 to the Israeli biologist Aaron Ciechanover; the Hungarian-born Israeli biochemist Avram Hershko and the American biologist Irwin Rose.
Proteasomes are large, multisubunit protease complexes that are responsible for the degradation of unnecessary or damaged proteins by proteolysis. Proteasomal degradation produces amino acids, which may be subsequently used in generation of new proteins. Proteins are labeled for degradation with a 76-amino acid protein called “ubiquitin”. Single labeling event leads to a cascade, resulting in the formation of polyubiquitin chain, which binds to the proteasome for proteolysis.
The proteasomal degradation pathway plays an important role in numerous cellular processes, for example cell cycle and immune response. Improper ubiquitin-mediated protein degradation has been linked to several neurodegenerative disorders including AD, Parkinson’s disease, Huntington’s disease and amyotrophic lateral sclerosis.
Recent studies showed the existence of cross-talk between proteasomal and autophagy pathways. Both processes share protein degradation signaling network molecules, may be recruited by ubiquitinated substrates, and under specific conditions display compensatory functions to maintain cellular homeostasis.
Autophagosome
Additional biochemical and microscopic investigations identified a new type of vesicles carrying cellular cargo to the lysosome for degradation. Christian de Duve, the discoverer of the lysosome, introduced the term “autophagy” to define this process. The new vesicles were named autophagosomes. Autophagy research was kick-started in 1990s with studies performed by Yoshinori Ohsumi, for which he was awarded the 2016 Nobel Prize in Physiology or Medicine.
He studied autophagy using as a model organism the budding yeast, whose vacuole is functionally similar to the mammalian lysosome. His group has shown that starved yeast devoid of some of the functional vacuolar proteases developed spherical bodies inside the vacuoles. These bodies were encompassed by a membrane and contained constituents of cytosol such as cytoplasmic ribosomes, mitochondria, rough endoplasmic reticulum fragments, glycogen, etc. The constituents would be normally degraded in yeast cultured on the nutrient-poor medium to facilitate adaptation to adverse environment. Without functional proteases the degradation could not commence, and so the spherical bodies remained easily perceivable. These spherical structures were named “autophagic bodies”.
In 1993, Ohsumi’s group published research, in which they identified 15 genes (APG1-15) that are essential for the activation of autophagy in yeast cells. Later, as a result of efforts of the scientific community to standardize the gene names, the APG genes were renamed to ATG. Afterward, Ohsumi’s group cloned numerous ATG genes and identified the function of their protein products (e.g.,; ). Further studies established the interactions between these products providing the basis for autophagy mechanisms (see Figure 1). They found that the ATG1 protein (now: ULK1) combines with the product of the ATG13 gene to form autophagic complex. This process is controlled by target of rapamycin (TOR) kinase. Further, Ohsumi’s group established that for proper activation the ATG1 protein needs to form complex not only with ATG13, but also with ATG17 (RB1CC1/FIP200) (Figure 1). As shown in Figure 1, the formation of this complex is the first stage in autophagosome genesis. The phosphatidylinositol-3 kinase (PI3K) complex that is composed of PIK3C3 (VPS34), PIK3R4 (VPS15), BECN1, and ATG14 (Barkor) proteins, produces phosphatidylinositol-3 phosphate (PtdIns3P or PI3P), which facilitates binding of further effector proteins to the membrane of the autophagosome.
In the late 1990’, Ohsumi’s group discovered two ubiquitin-like conjugation systems involved in the autophagosome formation (Figure 1). First conjugation system results in a formation of an ATG12-ATG5 complex, while the second one results in the formation of a conjugate of ATG8 (MAP1LC3A/GABARAPL2/LC3) with a membrane phospholipid, phosphatidylethanolamine. The formation of both conjugates is mediated by the ATG7 protein. ATG12-related system regulates ATG8 lipidation and lipidated ATG8 is a crucial participant in the processes of autophagosome elongation. These two conjugation systems are evolutionary conserved among yeast and mammals. Actually, fluorescently labeled product of the mammalian homologue of yeast gene ATG8 is used as an indicator of the formation of autophagosome in mammalian systems.
The ATG genes proved to play crucial roles in mammalian organisms. For example, mice with knock-out of ATG5 gene die in the first days of life due to their inability to cope with the post-labor starvation period. In this life period, functional autophagy allows the neonate to keep the steady energy supply before milk feeding starts. Further studies on knockout mouse models lacking functional versions of autophagy-related genes have established the functions of the autophagy in different mammalian tissues.
Aβ Metabolism and the Autophagy
Alzheimer’s disease is a progressive neurodegenerative disorder, which pathophysiology includes formation of Aβ aggregates. In a healthy human central nervous system the production rate of Aβ peptides is generally lower than their rate of clearance, at 7.6 and 8.3% per hour, respectively.
Autophagy is a key regulator of Aβ generation and clearance. Aβ peptides are produced through cleavage of amyloid precursor protein (APP) in the autophagosomes during autophagic turnover of APP-rich organelles. In AD the maturation of autophagolysosomes (i.e., autophagosomes that have undergone fusion with lysosomes) and their retrograde passage toward the neuronal body are hindered. This contributes to an immense accretion of autophagic vacuoles in neurons. Such accretion may be related to dysfunction of the ESCRT-III complex. This dysfunction is associated with neurodegeneration and may affect autophagosome maturation by disrupting fusion of autophagosomes with the endolysosomal system.
There are two pathways for disposing Aβ peptides. Firstly, they can be simply degraded by various Aβ-degrading proteases, including BACE1 and CTSD. Secondly, Aβ peptides can accumulate in autophagosomes of dystrophic neurites (i.e., main constituents of neuritic senile plaques in AD), thus being incorporated into primary intracellular reservoir of toxic peptides. The second recycling path of Aβ peptides is especially prevalent in the brains of people suffering from AD.
A paper published by shows that Aβ peptides are released from neurons in an autophagy-dependent manner and suggests that the accumulation of intracellular Aβ plaques is toxic to brain cells leading to AD pathology. To explore the role of autophagy in Aβ pathology in vivo, crossed App transgenic mice, carrying Swedish mutation, with mice lacking functional autophagy mechanisms in the forebrain neurons due to conditional knockout of Atg7. They observed that the offspring had far fewer extracellular Aβ plaques than the mice with functional autophagy. The decrease of extracellular Aβ plaque content reported by was caused by inability of cells with disrupted autophagy to secrete Aβ peptides. Indeed, they report that in the autophagy deficient mice, reduction in Aβ peptides secretion co-occur with accumulation of Aβ inside the brain cells. Moreover, in the autophagy deficient mice, intracellular aggregation of Aβ likely caused neurodegeneration and, together with amyloidosis, memory impairment. These findings are in agreement with previous reports that intracellular Aβ is neurotoxic.
Summing up, impaired autophagy is a well-established participating mechanism in the pathology of Aβ metabolism of AD.
Neuroinflammation
Present knowledge suggests that inflammation, autophagy and AD are connected processes. A study by provided an example of cross-talk between them. They showed that Aβ42 influences the expression and activation of some proteins involved in autophagy (p62, p70S6K) in vitro. They also showed that the processes of inflammation and autophagy interact within brain cells, as severe inflammation induced by IL-1β activated autophagy in microglia grown in tri- or mono-cultures. Although the role of IL-1β itself in AD is unclear, we do know how the neuroinflammation contributes to AD pathogenesis, and why IL-1β is a key mediator of neuroinflammation. Hence, one could speculate that IL-1β may play role in pathogenesis of AD by eliciting both neuroinflammation and autophagy. It seems viable that during the course of AD, immune signals induce autophagy. Indeed, it was shown that neuroinflammation might influence autophagy following stress-induced hypertension. Correspondingly, another study reported that adult mice bearing mutations of App and Psen1 genes showed higher brain levels of inflammatory mediators (including Il-1β) along with accumulation of autophagic vesicles within dystrophic neurons in the cortex and hippocampus. Moreover, the levels of inflammatory mediators correlated with expression of key autophagy regulators such as mTOR and Becn1. On the other hand, suggest, that inhibition of autophagy may enhance microglia activity, including secretion of cytokines such as Il-1β and generation of toxic reactive oxygen species (ROS) in vitro.
Taken together, these studies suggest that AD and neuroinflammation feed autophagy (and each other), while autophagy decreases inflammation in the brain. Thus, the increase in autophagy may play some protective role during the course of AD via interaction with the immune system.
Mechanistic Target of Rapamycin (mTOR) Pathway
Mechanistic target of rapamycin signaling pathway is initiated by nutrients and growth factors and regulates autophagy. Human studies suggest participation of mTOR signaling in AD. It has been shown that mTOR signaling is inhibited in cortex and hippocampus of adult AD model mice. Decreased mTOR signaling leads to reduction in levels of Aβ and protects memory of AD model mice from deterioration. A study performed by on mouse model of AD reported that blocking the mTOR signaling with rapamycin relieves cognitive deficits and reduces amyloid pathology, likely by activating autophagy in brain cells. Correspondingly, studies show that diet enriched with rapamycin prolongs lifespan of animals. This may be relevant to AD research, because age is a major factor in the pathogenesis of AD. Moreover, studies on human cells have shown that mTOR mediates intra- and extra-cellular distribution of tau, its phosphorylation and accumulation as well as resulting behavioral effects of tau pathology. Finally, multiple compounds tested for their efficacy as AD medication impose their beneficial effect by inducing mTOR-depending autophagy (see below).
Summarizing, mTOR pathway is currently one of the most promising targets for autophagy-related AD therapy.
Endocannabinoids
Recently published reports highlight the role of the endocannabinoid system in neurodegenerative diseases and autophagy. Endocannabinoids are lipophilic molecules that, when released, activate the cannabinoid receptors CNR1 and CNR2 (cannabinoid receptor 1 and 2).
Mice with a Cnr1 deletion have shown a pathological accumulation of some proteins, which are not degradable by lysosomal enzymes through autophagy. Knockdown of CNR1 expression by siRNA results in both mTOR- and BECN1-independent increase of autophagic vesicle formation.
In a human AD frontal cortex, expression of the CNR1 receptor was significantly reduced. In an AD mouse model Cnr1 was decreased in dorsal hippocampus and basolateral amygdala complex. It seems that in frontal cortex and hippocampus the activity of the CNR1 receptor depends on the progression of AD. While in early AD the activity is increased, it shifts to attenuation in later AD stages. Additionally, the expression levels of the CNR2 receptor were increased in microglia cells of an AD patient’s in the hippocampus, entorhinal cortex and frontal cortex. The high expression of CNR2 receptor was correlated with the Aβ42 levels and senile plaque burden.
All these findings suggest that there is a non-trivial connection between endocannabinoids, autophagy, and AD. A further investigation is required to fully understand the mechanisms involved.
Genes Common to Autophagy and AD
To identify the genes that may mediate cross-talk between molecular mechanisms of autophagy and AD, we have compared two groups of genes: (1) genes involved in autophagy, defined as being included either in Gene Ontology term “autophagy” (GO:0006914, Homo sapiens) or in KEGG Pathway “autophagy-animal” (ko04140), and (2) genes involved in AD, defined as being included either in databases AlzBase or AlzGene, or related to AD as shown by the text-mining tool GLAD4U. AlzBase provides data on “gene dysregulation in AD and closely related processes/diseases such as aging and neurological disorders”, while AlzGene provides data on “genetic association studies in the field of AD”. AlzGene can be treated as a comprehensive database of genes that were associated with AD before year 2011, when it was last updated. Unfortunately, currently there is no other database that collects such information. Finally, GLAD4U is a prioritization tool querying PubMed for given phrase and returning associated genes. The genes that are common to both groups’ are summarized in Supplementary Table S1. For detailed discussion we selected genes, which met following requirements: (1) reported to be involved in both autophagy and AD according to the PubMed database, AND (2) constituted top five results from either AlzBase, AlzGene or GLAD4U. Additionally, we arbitrarily selected five genes involved in KEGG Pathway “autophagy-animal” for further discussion. Gene hierarchy was established for AlzBase and AlzGene based on the total number of entries into database and for GLAD4U as a confidence score provided by the tool. Generally, selected genes showed strong (weight > 5) relationship with neuroinflammation, as detected by Chilibot, especially BECN1, PSEN1, MAPT, GFAP, and CDK5 (see Figure 2A). Simultaneously, the genes were not significantly related to the endocannabinoid system (queried in Chilibot via keyword “cannabinoid”), with only BECN1 and GFAP showing strong interaction (see Figure 2B). The genes described below were also added to Figure 1 along with their known interactions with other molecules of the pathway (see also Supplementary Table S2), as extracted from STRING database (organism: Homo sapiens).
Autophagy-Related 7 (ATG7)
As stated previously, ATG7 is a key gene regulating autophagic conjugation systems. ATG7 is involved in memory functions as evident from a study, in which forebrain-specific Atg7 knockout mouse have shown memory deficits. We have found two studies connecting dysregulated expression of ATG7 protein and AD-like pathology. Decreased levels of the Atg7 protein were found in cerebral cortex and hippocampus of mouse model of AD. On the other hand, no dysregulation of protein expression of ATG7 was found in temporal cortices of AD patients.
Atg7 mediates the transport of Aβ peptides to the multivesicular body and their secretion in mouse neurons. Inhibition of ATG7 expression using siRNA partially protected against increase in production and secretion of Aβ40 in vitro. On the other hand, intra-hippocampal infusion of Aβ is able to increase the expression of the Atg7 protein in hippocampus of rats while reducing their memory performance.
ATG7 seems to be involved in degradation of tau. Forebrain-specific Atg7 knockout in mice resulted in an accumulation of phosphorylated tau protein in hippocampus and cerebral cortex, as well as neurodegeneration evident in loss of hippocampal neurons and memory dysfunction.
BCL2
BCL2 is an anti-apoptotic factor that interacts with BECN1 to regulate autophagy.
Overexpression of neuronal Bcl2 improved place recognition memory in mice. Contrary, negative correlation between the cortical BLC2 protein expression and memory (immediate recall) was established in AD patients. Upregulation of the BCL2 protein was found in precuneus (cortex) of AD patients.
Aβ treatment decreases the BCL2 expression in vitro, while APP mutation (Swedish) mediates similar effect in vitro during starvation. Overexpression of Bcl2 protects against Aβ-related death of neuronal cells in vitro. reported that AD model mice engineered to overexpress Bcl2 protein showed decreased processing of App and number of extracellular deposits of Aβ, as compared to base strain (3xTg-AD).
The overexpression of Bcl2 affects also tau processing, reducing the number of NFTs.
Beclin 1 (BECN1/ATG6)
BECN1 protein mediates the initiation of autophagy and genesis of autophagosomes. Becn1 heterozygotic mice (Becn1+/-) show decreased autophagy in neurons.
Several reports suggest, that BECN1 is involved in the pathophysiology of AD. Postmortem midfrontal cortex and isolated microglia of AD patients show reduced content of BECN1 protein. Similarly, reduced Becn1 expression was found in cortex and hippocampus of adult mouse model of AD. BECN1 may protect against AD-associated cellular death. report that expression of Becn1 correlates with viability of cells treated with toxic Aβ42. Interestingly, Becn1 activity seems to be regulated by Aβ42.
A study performed on the frontoparietal cortex and the hippocampus of mice showed that decreasing of Becn1 expression leads to increased levels of Aβ. Becn1-mediated decrease in autophagy leads to accretion of Aβ peptides and, finally, to neurodegeneration.
BECN1 is also involved in neuroinflammation and cannabinoid system activity. Inhibition of Becn1 expression increases microglia inflammatory response. Chronic LPS-induced inflammation decreases hippocampal Becn1 expression. On the other hand, Cb2r deletion decreases Becn1 expression in the spinal cord of mice.
Cyclin Dependent Kinase 5 (CDK5)
CDK5 is an autophagy-regulating kinase, which expression is enriched in central nervous system as shown in Human Protein Atlas (HPA).
Cdk5 modulates various cognition-related biological processes such as neurogenesis in adult hippocampus and synaptic functions. Silencing of hippocampal Cdk5 expression using RNAi resulted in improved memory performance in AD model mice. Study connected CDK5-associated polymorphisms with increased risk of AD. CDK5 protein expression is enhanced in frontal cortices of AD patients. On the contrary, CDK5 protein expression is decreased in cerebrospinal fluid (CSF) of AD patients.
CDK5 influences the metabolism and effects of Aβ. CDK5 may regulate BACE1 protein expression as well as activity. BACE1 gene encodes β-secretase, which is a crucial enzyme involved in APP metabolism. Furthermore, Cdk5 participates in cytotoxic activity of Aβ42 in primary cortical neurons, mediates Aβ peptide-induced dendritic spine loss and APP phosphorylation. On the other hand, Aβ increases Cdk5 activity in primary cortical neurons.
CDK5 is similarly involved in tau metabolism. Cdk5 binds to tau in vitro and is co-localized with it in rat cortex. Cdk5 participates in tau phosphorylation, although whether this may lead to formation of NFTs is disputed. Prevention of Cdk5 hyperactivity in the mouse model of AD protects against tau hyperphosphorylation, Aβ accumulation, memory loss, and enhanced neuroinflammation.
Clusterin (CLU/APOJ)
CLU is a chaperone protein that participates in autophagosome biogenesis via interaction with ATG8E (MAP1LC3A).
CLU is one of the top AD candidate genes with the third lowest p-value of the association (p = 3.37E-23) according to the meta-analysis included in AlzGene database. Meta-analyses showed the involvement of CLU-related mutations in AD pathogenesis. CLU mutations that are suggested as causal for AD affect hippocampal connectivity, white matter integrity in several brain regions, cortical gray matter volume, as well as working memory and episodic memory performance. CLU mRNA is upregulated in hippocampi of AD patients. According to CLU protein rises in several brain regions, including frontal cortex, of AD patients in correlation with noxious Aβ40/42 levels. Results of study by did not confirm these findings. The CLU protein is upregulated in CSF of AD patients. The content of CLU protein in the blood plasma of AD patients was reported to be dysregulated in some studies, while others did not confirm this finding.
Moreover, CLU protein interacts with Aβ, reduces its aggregation and protects against its toxic effects. CLU decreases the Aβ intake by human primary glia cells.
The interaction between tau and CLU is less studied. However, reported that the Clu protein is upregulated in a tau-overexpressing mouse model of AD. Furthermore, the AD-associated CLU polymorphism rs11136000 regulates the levels of tau protein in CSF in AD patients.
Cathepsin D (CTSD)
Cathepsin D is a lysosomal protease that is involved in degradation of the APP protein.
Two meta-analyses on the influence of CTSD mutation rs17571 on AD yielded contrary results. Similar discrepancy is also reported for another CTSD mutation (Ala224Val). Directionality of the change of CTSD gene expression seems to depend on studied tissue. CTSD level was decreased in bone marrow-derived monocytes isolated from AD patients. CTSD mRNA expression was upregulated in whole blood of AD patients. On the other hand, CTSD is downregulated on both mRNA and protein levels in skin fibroblasts from AD patients.
Cathepsin D participates in processing of Aβ peptides and clearance of amyloid plaques in vitro. Nevertheless, Aβ processing mechanisms are fairly resistant to modest (38%) changes in expression of Ctsd, at least in cerebral cortex of mouse model of AD.
Cathepsin D also interacts with tau protein. Previously mentioned rs17571 mutation causes changes in processing of tau, but not of APP.
Forkhead Box O1 (FOXO1)
FOXO1 gene encodes transcription factor that plays a role in autophagy modulation in neurons. FOXO1 mutation rs7981045 was associated with response of AD patients to a treatment based on acetylcholinesterase inhibitors
Glial Fibrillary Acidic Protein (GFAP)
GFAP is a cytoskeletal intermediate filament-III and a marker of astrocytes. GFAP binds with LAMP2A (Figure 1). Multiple studies found increased levels of GFAP in tissues of AD patients. GFAP levels are increased in the frontal cortices, hippocampi, and the CSF of AD patients. Moreover, Gfap expression is modulated by cannabinoid receptor 1 (Cnr1) in the hypothalamus of mice and neuroinflammation regulates astrogliosis (abnormal increase in the number of astrocytes).
Inositol 1,4,5-Trisphosphate Receptor Type 1 (ITPR1/IP3R1)
ITPR1 gene encodes intracellular receptor mediating calcium release from the endoplasmic reticulum and also plays a role in inducing autophagy. Engineered downregulation of Itpr1 expression protected AD model mice from Aβ accumulation, tau hyperphosphorylation, as well as from dysfunction of memory and hippocampal LTP.
Microtubule Associated Protein Tau (MAPT/TAU)
MAPT gene encodes tau protein, which pathology is one of the most well-recognized markers of AD. Autophagy is a main pathway of degradation of tauDeltaC, which is a form of the protein found in the brains of AD patients. Autophagy dysfunction plays important role in tau aggregation. Tau may also regulate autophagy, likely via inhibition of HDAC6 activity. Finally, Mapt deficiency reduces neuroinflammation, while neuroinflammation in turn induces Mapt phosphorylation.
Presenilin 1 (PSEN1)
PSEN1 protein is a regulator of the APP-cleaving γ-secretase complex, and autophagic proteolysis.
PSEN1 gene mutations contribute to the pathogenesis of early onset AD, and this effect may be mediated by loss of stability and hydrophobicity of the proteins encoded by the mutated variants. CSF of AD patients with PSEN1 mutations showed lower levels of Aβ than AD patients without PSEN1 mutation. This may suggest that the proteins are retained in the brain cells due to dysregulated autophagy. compared brains of AD patients with mutation of presenilin 1 with brains of sporadic AD patients. They concluded that PSEN1 mutation is associated with higher prevalence of lysosomal pathology in neurons of AD patients. This corresponds to report by, where the authors show that Psen1 is crucial for modulating lysosome acidification and proteolysis during autophagy. Dysregulated lysosomal proteolysis may lead to accumulation of proteins and cell death. Additionally, PSEN1 is hypothesized to be involved in brain immune response as Psen1/2 knock-out changes the expression of neuroinflammation-related genes.
Alpha-Synuclein (SNCA/PARK1/NACP)
Expression of SNCA is enriched in brain according to Human Protein Atlas. SNCA regulates autophagosome formation, but it is also negatively regulated by autophagy.
SNCA mutations are connected to the risk of AD. Changes in expression of SNCA proteins were also reported in some brain regions of AD patients. Dysregulated levels of SNCA in CSF are associated with cognitive performance. Effect of Snca protein expression on memory was also reported in mice.
SNCA is an important component of Aβ plaques. Snca induces expression of Aβ peptides and vice versa. SNCA also likely regulates APP processing by modulating the activity of BACE1, binds Aβ peptides and promotes their aggregation. There are also reports of Snca inhibiting Aβ plaque formation. On the other hand, Aβ40 decreases SNCA uptake by neurons.
Similarly to interaction of SNCA with Aβ peptides, SNCA and tau also induce each other fibrillization. SNCA binds, phosphorylates, and inhibits microtubule assembly activity of tau.
Ubiquilin 1 (UBQLN1)
UBQLN1 gene encodes ubiquitin-like protein involved in autophagosome–lysosome fusion likely by interacting with ATG8E (MAP1LC3A).
There is a strong evidence for involvement of UBQLN1 in AD pathology. UBQ-8i polymorphism of UBQLN1 was associated with increased risk of AD in two separate meta-analyses. In hippocampi of AD patients UBQLN1 protein localizes to dystrophic neurites. Expression of UBQLN1 protein is reduced in temporal and frontal cortices of AD patients. This decrease may cause enhanced processing and intracellular trafficking of APP, and secretion of Aβ40/42.
Moreover, UBQLN1 interacts with BACE1, which is a key APP processing protein. Ubqln1 overexpression causes an increase of Bace1 in neuron-microglia co-cultures, though this effect did not reach significance in the brains of mice.
Ubiquitin C-Terminal Hydrolase L1 (UCHL1)
UCHL1 is a brain-enriched ubiquitin-specific hydrolase. It influences autophagy by interaction with LAMP2 (Figure 1), which modulates autophagosome-lysosome fusion.
Uchl1 plays an important role in synaptic functions and memory as shown in mouse model of AD. This effect may be related to the Uchl1 ability to restore Bdnf signaling, which is disrupted by Aβ. BDNF is one of the most critical mediators of brain functions. Several publications have reported either effect or lack of effect of UCHL1 mutations on AD. Similarly, there is some discrepancy in the directionality of changes in expression of UCHL1 gene between different studies performed on AD patients. In frontal cortices the UCHL1 protein was upregulated. On the other hand, downregulation of UCHL1 was reported in hippocampi and in unspecified brain area.
Co-immunoprecipitation assay showed that Uchl1 interacts with App. The Uchl1 overexpression, induced by intracranial injection of Uchl1-expressing virus, decreases the Aβ production and protects AD model mice against memory impairment. Decreased expression and activity of UCHL1 protein is associated with Aβ treatment in vitro. Similarly, decreased expression of UCHL1 protein is found in the cerebral cortex of AD patients. Additionally, the cortical UCHL1 protein levels seem to be inversely correlated to the number of NFT in AD patients. Moreover, UCHL1 is involved in lysosomal degradation of BACE1.
UCHL1 protein co-localizes with NFTs in AD brains. The Uchl1 expression and activity negatively influence the levels of phosphorylated tau and aggregation of tau protein in mouse neuroblastoma cells. Tau induces mitochondrial degradation, synaptic deterioration, and cellular death by recruiting UCHL1 in vitro.
Therapeutic Implications of the Interplay of Alzheimer’S Disease and Autophagy
The protein aggregates, e.g., Aβ and tau proteins, participating in the pathology of neurodegenerative disorders cause neuronal damage and synaptic dysfunction. Their removal or inhibition of their formation are proposed as potential therapeutic approaches for the treatment of neurodegenerative disorders. Autophagy is one of the main mechanisms by which the cell degrades abnormal proteins. Thus, elimination of such protein aggregates may be achieved utilizing mechanisms of autophagy. Several autophagy-stimulating drugs have already demonstrated considerable therapeutic potential for AD treatment in clinical trials. We shortly discuss some of them below.
Carbamazepine (CBZ)
Carbamazepine was primarily developed as a drug used in the treatment of epilepsy. In the past, scientists studied therapeutic effect of CBZ on AD-related agitation. Recently two publications have shown that carbamazepine-induced autophagy also protected against memory dysfunction and increase in Aβ content in brains of mouse model of AD.
Latrepirdine
Latrepirdine stimulates mTOR- and Atg5- dependent autophagy and reduces intracellular content of App metabolites, including Aβ peptides, in the brain of mouse. Recent meta-analysis has shown no adverse effects and small improvement in dementia-related behaviors by latrepirdine in AD patients. Nevertheless, as themselves admit, the analyzed literature was not comprehensive enough to allow for more confident conclusions.
Lithium
Clinical trials have shown that lithium may ameliorate AD and this effect may be related to its mTOR-independent autophagy-inducing activity. In meta-analysis of clinical studies on AD, lithium significantly decreased cognitive decline compared to placebo, while showing no significant adverse effects.
Memantine
The NMDA (N-methyl-D-aspartate) receptors antagonist memantine is widely used for treatment of moderate-to-severe AD. According to recent meta-analysis it shows good tolerance and some efficacy in AD treatment. This effect may be in some extent mediated by memantine ability to influence autophagy in either mTOR-dependent or mTOR-independent manner.
Nicotinamide
reported that long-term treatment with nicotinamide (Vitamin B3/PP) reduces Aβ and tau pathologies as well as cognitive decline in a mouse model of AD. The effect of nicotinamide is likely mediated by enhancement of the acidification of lysosome or autophagolysosome, leading to reduced autophagosome accretion. have shown that nicotinamide activity depends also on its ability to induce degradation of Bace1. Recently published clinical trials showed safety, but no effect of nicotinamide on cognitive function of AD patients. Despite this, nicotinamide anti-AD activity is still studied and further trial is currently ongoing.
Protein Phosphatase 2A Agonists
Clinical trials have suggested that protein phosphatase 2A agonists, such as metformin, can inhibit the hyperphosphorylation of tau. Similar results were obtained from a study on mice. Hyperphosphorylation of tau is a key step in generation of NFTs in AD patients. On the other hand, metformin did not protect diabetic mice from AD-like memory dysfunction.
Rapamycin
Rapamycin, a selective inhibitor of target-of-rapamycin complex 1 (TORC1) and thus modulator of the mTOR pathway activity, improved learning and memory and reduced Aβ and tau pathology in the brains of AD mouse model. Rapamycin also increased viability of cells treated with Aβ42. Rapamycin prodrug, temsirolimus was shown to induce autophagy-dependent Aβ clearance and to improve memory in mouse model of AD. Temsirolimus also lowered tau accumulation and rescued motor dysfunctions in tau mutant mice. SMER28, a small molecule-based enhancer of rapamycin, increases autophagy via Atg5-dependent pathway while reducing the levels of Aβ peptide in a γ-secretase-independent manner. Recent rapamycin clinical trial showed non-significant decrease in expression of the cellular senescence marker beta galactosidase.
Resveratrol
Resveratrol, a grape-derived polyphenol, and its derivatives decreased extracellular Aβ peptide accumulation by activating autophagy via AMPK signaling pathway (Figure 1). Recently published clinical trials studying the efficacy of resveratrol for AD treatment showed that resveratrol is well-tolerated but, surprisingly, AD biomarkers, such as plasma Aβ40 level, were present in treated group at even higher levels than in a placebo group. On the other hand, long-term resveratrol treatment rescued memory loss and Aβ levels in the brain of AD mouse model. Hence, viability of this compound as a medication for AD is unclear.
Arctigenin
Arctigenin, a polyphenol extracted from Arctium lappa, was found to inhibit Aβ production and memory impairment in mouse model of AD. The effect was mediated by mTOR- and AMPK-dependent autophagy.
β-Asarone
β-asarone is an ether found, e.g., in Acori graminei. β-asarone treatment decreases Aβ42 levels in hippocampus and improves memory in a mouse model of AD, probably through mTOR-dependent autophagy.
GTM-1
It was shown that administration of GTM-1, a derivative of quinolone, rescues cognitive dysfunction and Aβ pathologies in mouse model of AD by activating mTOR-independent autophagy.
Oleuropein Aglycone
Oleuropein aglycone is a polyphenol, which is present in plants of Oleaceae family and induces autophagy via mTOR pathway. According to a recent review, regulation of autophagy is one of the mechanisms via which oleuropein aglycone counteracts amyloid aggregation and toxicity.
Tetrahydrohyperforin
Tetrahydrohyperforin is a derivative of hyperforin, which is an active component of St. John’s Wort plant (Hypericum perforatum). In AD model mice tetrahydrohyperforin prevented memory impairment and physiological dysfunctions such as tau hyperphosphorylation or turnover of amyloid plaques. At least one of its beneficial effects is mediated by its autophagy-related activity, that is clearance of APP via ATG5-dependent pathway.
Trehalose
The disaccharide trehalose, an inducer of mTOR-independent autophagy, inhibits the aggregation of both Aβ40 and tau, and reduces their cytotoxicity in vitro. Similarly, in two separate studies utilizing mouse models of AD, trehalose protected against cognitive dysfunction. Interestingly, one of these studies also reported effect of trehalose on hippocampal Aβ levels, while the other one reported a lack of this effect.
Summarizing, scientific community puts a significant effort into developing autophagy-related therapeutics for AD. Several agents, such as rapamycin and latrepirdine, have already been tested on AD patients and show promising results. However, many more potential therapeutics showing efficacy for treatment of cognitive dysfunctions in animal models of AD await for more comprehensive studies and trials on humans.
Conclusion
Despite much of the data presented in the review being acquired in studies performed on animal models, we propose that properly functioning autophagy is crucial for the normal aging of neurons. Malfunction in neuronal autophagy is one of the key factors influencing the development of neurodegenerative disorders, including AD. The autophagy plays a key role in the metabolism of Aβ and tau protein, the mTOR pathway, neuroinflammation, and in the endocannabinoid system, all of which may mediate its effect on AD. Accordingly, autophagy-targeted therapeutic approaches may lead to the development of novel therapeutic strategies for the management of AD.
Author Contributions
This work was carried out in collaboration between all authors. MU, AMS, AS, and AM have written the first draft of the manuscript. NT, ST, AA, LB, and MA-D revised and improved the first draft. All authors have seen and agreed on the finally submitted version of the manuscript.
Conflict of Interest Statement
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.
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