Abstract
Unhealthy lifestyle choices, poor diet, and aging can have negative influences on cognition, gradually increasing the risk for mild cognitive impairment (MCI) and the continuum comprising early dementia. Aging is the greatest risk factor for age-related dementias such as Alzheimer’s disease, and the aging process is known to be influenced by life events that can positively or negatively affect age-related diseases. Remarkably, life experiences that make the brain vulnerable to dementia, such as seizure episodes, neurotoxin exposures, metabolic disorders, and trauma-inducing events (e.g. traumatic injuries or mild neurotrauma from a fall or blast exposure), have been associated with negative effects on proteostasis and synaptic integrity. Functional compromise of the autophagy-lysosomal pathway, a major contributor to proteostasis, has been implicated in Alzheimer’s disease, Parkinson’s disease, obesity-related pathology, Huntington’s disease, as well as in synaptic degeneration which is the best correlate of cognitive decline. Correspondingly, pharmacological and non-pharmacological strategies that positively modulate lysosomal proteases are recognized as synaptoprotective through degradative clearance of pathogenic proteins. Here, we discuss life-associated vulnerabilities that influence key hallmarks of brain aging and the increased burden of age-related dementias. Additionally, we discuss exercise and diet among the lifestyle strategies that regulate proteostasis as well as synaptic integrity, leading to evident prevention of cognitive deficits during brain aging in pre-clinical models.
Keywords: synapses, lysosomal proteases, brain aging, cognition
1. Aging and cognition decline
The World Health Organization has reported that people live longer now than ever before. The elderly population is expected to reach 1.6 billion by 2050, up from the staggering one billion in 2020. Currently, people 65 years old and older outnumber children under five (according to the United Nations World Population prospectus: The 2022 Summary). The world is facing a dramatic increase in the population of people older than 60 in low- and middle-income countries such as Brazil, China, India, the Russian Federation, and others. An expected result is that nearly 80% of older people will live in low and middle-income countries by 2050 (WHO, Aging - Facts and Sheets, accessed on January 28, 2021 - https://www.who.int/health-topics/aging). Therefore, the aging population will have critical impacts on economic, social, and public health policies in the coming years. Future public health decision-making will require a significant understanding of the aging process, aging-related changes in the brain, and associated diseases. Ambitious attempts are also working to develop therapies that can prevent or delay the effects of many risk factors that influence the health and independence of the elderly.
Biologically, aging is a process that results from the impact of diverse molecular and cellular damage over time, but it is not considered a disease or a pathological condition. However, the aging process can often lead to a gradual decline in physical and mental capacity, with feared links to developing age-related diseases affecting cognition such as Alzheimer’s disease (AD) and related dementias. Additionally, age-related neurodegenerative disorders are accelerating due to the global rise in life expectancy. Among the pool of age-related diseases, AD represents the greatest cause of death increase compared with the other major causes of death in older adults in the United States of America. It is the sixth leading cause of death in adults, and the number of deaths from AD has been on the rise since 2010, after which the age-adjusted death from AD rate increased by 28%, while death rates actually decreased for six of the ten major death causes (Curtin et al., 2021). Despite this growing prevalence, effective preventive therapies or disease-modifying treatments are lacking. Thus, as people reach middle age, urgent screening of cellular changes that affect brain health during aging are needed in order to initiate current and future pharmacological or non-pharmacological therapies.
In this review, we discuss how aging and other risk factors affect brain health, disturbing neuronal communication and homeostatic processes that often negatively influence cognition and gradually increase the risk of age-related diseases which may give rise to MCI and to early dementia. The negative influences of brain aging can disrupt the quality of life and add to the already enormous medical, social, and economic burden of caring for an elderly population.
2. Cognitive decline is correlated with synaptic pathology
During aging, the nervous system undergoes changes that progressively disturb synaptic integrity, leading to neural vulnerabilities. Although multiple factors influence normal aging, the age-related changes in cognition are often driven by a deterioration of white matter physiology (Valdes Hernandez Mdel et al., 2013). Such deterioration is often linked to distinct synaptic alterations in the hippocampus and prefrontal cortex, brain regions that mediate episodic and working memory which are the most vulnerable cognitive processes in aging (see Morrison et al., 2012; Henstridge et al., 2016). Furthermore, the aging process disrupts essential neurotransmitters affecting glutamatergic, dopaminergic, and serotonergic signaling (Gasiorowska et al., 2021; Segovia et al., 2001; Wang et al., 1998; Hedden & Gabrieli, 2004; Wenk et al., 1989; Lucki et al., 1998; Karrer et al., 2019). Reports also describe that aging downregulates genes involved in synaptic integrity and function (see Azpurua and Eaton, 2015; Berchtold et al., 2012). Therefore, aging affects the synaptic integrity which is critical for cognitive function.
In addition to the aging effects on the synaptic machinery and function, life events such as neurotrauma, mild traumatic brain injury (mTBI), exposure to neurotoxicants, and seizure events have been described as harmful conditions that affect synapse integrity and can lead to cognitive impairment late in life, consequently increasing the risk of age-related dementias. TBI research often focuses on the impact of an injury on neuronal tissue. However, advances in the field have shown that TBI has a major impact on synapse structure and function (see Jamjoom et al., 2021), even for mild TBI (see Przekwas et al., 2016). Accumulative evidence for synaptopathy from blast-related in vitro trauma models (Vogel III et al., 2015; Smith et al., 2016; Almeida et al., 2021) and in vivo models (Meabon et al., 2016; Ratliff et al., 2020) was also described. Associated synaptopathy was similarly described in other models of TBI, such as controlled cortical impact (Gao et al., 2011; Ansari et al., 2008a, 2008b) and lateral fluid percussion injury (Shojo & Kibayashi, 2006; Carlson et al., 2017). Thus, experimental evidence supports that different levels of neurotrauma cause a range of subtle to severe synaptic injuries and can trigger neurobiological events that initiate cognitive decline and increase the risk of cognitive disorders.
The synaptic vulnerability has also been described in neurotoxic events throughout the lifetime and linked to the onset of dementia. Exposure to neurotoxic agents has been associated with an increased risk of chronic neurological illnesses (Yokoyama et al., 1998; Bullman et al., 2005; Hayden et al., 2010), synaptic deterioration stemming from the induced seizures (Munirathinam & Bahr, 2004; Sánchez-Santed et al., 2004; Todorovic et al., 2012; Deshpande et al., 2014; Deshpande et al., 2016; Farizatto et al., 2017a; McDonough et al., 1997; Vegh & Reutens, 2019), and with the disruption of synaptic integrity during brain development (Rotenberg & Newmark, 2003; Santos et al., 2004). Nevertheless, subtoxic insults with neurotoxins lead to higher neuronal vulnerability, likely explaining the increased risk of brain disorders in survivors and raising the risk of dementia (see Munirathinam & Bahr, 2004; Mattson et al., 1992; Bahr et al., 1994; Baldi et al., 2011; Parron et al., 2011; Jones et al., 2010; Hayden et al., 2010).
Synaptic compromise, which is known as the best correlate of cognitive deterioration (Terry et al., 1991; Harris et al., 2010; DeKosky et al., 1990), has been linked to many neurological conditions such as AD (Selkoe, 2002), Parkinson’s disease (PD) (Day et al., 2006; Bellucci et al., 2016), frontotemporal dementia (Liu & Brun, 1996; Mackenzie et al., 2009; Lipton et al., 2001), motor neuron disease (Fischer et al., 2004; Frey et al., 2000), Huntington’s disease (Li et al., 2003), and multiple sclerosis (Mandolesi et al., 2015). Therefore, the loss of neuronal connectivity is a well-described consequence of brain vulnerabilities that inevitably leads to the disruption of cognitive function. This fact is particularly evident in aging, where varying degrees of synaptic deterioration can significantly impair brain function and contribute to the development of neurological disorders.
3. Proteostasis failure and synaptic dysfunction
Besides the disruption of synaptic integrity and functions, aging is also commonly associated with proteostasis dysfunction, which has been linked to the loss of synaptic markers and memory impairment, contributing to the development of age-related dementia. As neuronal cells are postmitotic and nondividing cells with long lives, the proteostatic machinery plays a vital role in maintaining cellular homeostasis.
The degradation of non-functional proteins and organelles through proteasomes and autophagy-lysosomal structures plays a major role in maintaining cellular homeostasis and preventing the accumulation of toxic protein complexes. The two major catabolic routes are called i) the ubiquitin proteasomal system (UPS) and ii) the autophagy-lysosome system. Although the UPS and autophagy-lysosome system act distinctly to degrade protein complexes, the UPS is often attributed as the cell’s primary source of protein degradation (Finley, 2009). Large protein inclusions and organelles are also frequently directed to the autophagy-lysosomal system (Yang & Klionsky, 2009), and there is evidence of crosstalk between this system and the UPS (Farizatto et al., 2017b; Korolchuk et al., 2010; Cohen-Kaplan et al., 2016; Liebl & Hoppe, 2016; Pohl & Dikic, 2019).
The aging process compromises the proteostatic network of the two interacting clearance systems, leading to reduced efficiency with regards to removing misfolded, old, or damaged proteins and organelles. Such compromise of proteostasis leads to gradual protein accumulation events and associated pathologies (see Taylor et al., 2011; Morimoto & Cuervo, 2009). Interestingly, proteinopathies in adults do not occur early in the lifespan. Alterations to the proteostasis network occur later with the influence of aging (see López-Otín et al., 2023), resulting in such changes as i) reduced expression of molecular chaperones in the human brain (Brehme et al., 2014; Shemesh et al., 2021), ii) altered proteasome activity (Sacramento et al., 2020; Schmidt & Finley, 2013; Saez & Vilchez, 2014; Keller et al., 2002), and iii) autophagy dysfunction (Lipinski et al., 2010; see Cuervo, 2003; Rubinsztein et al., 2011; Nixon & Yang, 2012). Together these compounding changes support the idea that aging is the major contributor to the loss of protein homeostasis and the increased burden of age-related protein accumulation diseases, thus contributing to the development of age-related dementia.
Age-related brain disorders are characterized by the presence of protein accumulations and aggregation events, which are pathological hallmarks of many neurodegenerative diseases (see Table 1), comprised of insoluble inclusions and protein aggregates in both the intra- and extracellular space (Knowles et al., 2014; see Wilson III et al., 2023). Although the primary cause of this protein accumulation stress is unknown, it has been accepted that some causative mutations and impairment of cellular quality control systems during adulthood are the leading cause of these proteinopathies (Soto & Pritzkow, 2018). Protein accumulation stress is a slow, cytotoxic, and progressive event that can affect cellular homeostasis, intracellular machinery, and cell-to-cell communication, triggering cellular dysfunction and loss of brain functionality.
Table 1 –
Brain diseases with protein accumulation pathology
| Disease | protein involved |
|---|---|
|
| |
| Alzheimer’s disease | Aβ, tau, α-synuclein, TDP-43 |
| frontotemporal dementia | Tau, TDP-43 |
| Parkinson’s disease | α-synuclein |
| Huntington’s disease | huntingtin |
| corticobasal degeneration | tau |
| progressive supranuclear palsy | tau |
| amyotrophic lateral sclerosis | tau, TDP-43 |
| prion diseases | prion PrP |
| spinocerebellar ataxia | ataxin |
Synaptic loss and aging-linked proteostasis failure are early signs of neurodegenerative disorders preceding neuronal loss (see Knopman et al., 2021; Wong & Krainc, 2021). However, failure in both synaptic and proteolytic systems can be attributed to multifactorial causes, and they do not appear to be completely independent of each other. For example, the UPS system regulates major pre- and postsynaptic proteins responsible for neurotransmission and synaptic plasticity (see Hedge, 2017). Autophagy is a modulator of neuronal excitation-inhibition balance through the degradation of postsynaptic receptors (Rowland et al., 2006; Shehata et al., 2012) and can modulate presynaptic vesicle and neurotransmission (Hernandez et al., 2012; Binotti et al., 2015). Interestingly, Kulkarmi and colleagues (2021) described that autophagosome mobility is regulated by synaptic activity in dendrites (not in axons). Similar changes in mobility due to synaptic activity were found for the proteasome (Bingol & Schuman, 2006), whereas mitochondria break with synaptic activity (Wang & Schwarz, 2009). Additionally, positive modulation of the autophagy-lysosomal pathway preserves synaptic integrity and neuronal functionality (Bendiske & Bahr, 2003; Muller-Steiner et al., 2006; Fleming & Rubinsztein, 2020; Hwang et al., 2019), and memory stimulation increases autophagy regulation, while autophagy inhibition is linked to memory dysfunction (Glatigny et al., 2019). Relatedly, accumulation of proteins such as amyloid-β and pathologic tau at synaptic terminals is toxic to synapses, causing synaptopathy that can lead to synaptic deterioration and eventual spread of the synaptic pathology (see Spire-Jones & Hyman, 2014; Rajmohan & Reddy, 2017). Indirectly, the physical barrier formed by protein accumulation due to decreased protein degradation, as described before, affects the synaptic machinery via disruption in axonal transport (Chevalier-Larsen & Holzbaur, 2006; Goldstein, 2012).
In sum, age-related cognitive decline is associated with evident synaptic pathology along with proteostatic stress in neuronal cells that precede neuronal death during neurodegenerative diseases. Therefore, it is crucial to emphasize the importance of early intervention in maintaining synaptic health associated with the modulation of protein homeostasis to prevent the onset or progression of neurological disorders.
4. Positive modulation of cleavage pathways and cognition preservation
Aging is a multifactorial decline of cellular functions during adulthood with hallmarks that often interact with each other. The hallmarks of aging can be classified based on their time-dependency of alterations, the possibility of accelerating aging, and the opportunity to decelerate, halt, or reverse aging (see López-Otín et al., 2023). Of the hallmarks listed in this review that represent common denominators of aging in different organisms, proteostasis stress and altered intercellular communication (endocrine, neuroendocrine, neuronal) were discussed and allied to age-associated cognitive decline and the risk of dementia.
Interestingly, the progressive age-related protein accumulation stress can be slowed by the positive modulation of the autophagy-lysosomal pathway (see Klionsky et al., 2021). For example, studies have targeted the lysosomal protein clearing function to offset lysosomal dysfunction linked with aging or neurodegenerative diseases (Butler et al., 2011; Hwang et al., 2019; Lee et al., 2010). One efficient strategy to positively modulate the lysosomal function is targeting the activation of proteases within lysosomes, such as cathepsin B (CatB), to improve or reestablish the protein degradation-avoiding toxicity events that leads to neurodegeneration. The lysosomal cysteine protease CatB has been shown to degrade amyloid-β42 (Aβ), which is the toxic form (Muller-Steiner et al., 2006; Wang et al., 2012; Butler et al., 2011; Hwang et al., 2019), and promote clearance of tau species (Bendiske & Bahr, 2003; Farizatto et al., 2017b). In cell culture, deficiency of CatB has been associated with the accumulation of amyloidogenic toxic proteins, cholesterol, and other lysosomal proteins (Cemark et al., 2016). Improvement against amyloid pathologies was also found through genetic deletion of the endogenous inhibitor of lysosomal cysteine proteases, which results in cathepsin-dependent effects (Wang et al., 2012; Yang et al., 2011; Sun et al., 2008), and through the upregulation of CatB expression using an adeno-associated virus (Embury et al., 2017). Besides the aging process that affects lysosomal hydrolases, including cathepsins (see Stoka et al., 2016), it should be noted that genetic inactivation of CatB (i) suspends the brain benefits of physical exercise in mice (Moon et al., 2016) and (ii) aggravates the plaque deposits and worsens the pathology in a mouse model of AD expressing a mutation in a human-linked protein (Muller-Steiner et al., 2006). Additionally, positive modulation of CatB for the enhancement of autophagy-lysosomal protein clearance activity was connected to reducing protein accumulation, recovering synaptic integrity, and improving cognitive ability in rodent models of MCI and AD (Butler et al., 2011; Farizatto et al., 2017b; Hwang et al., 2019). Therefore, positive modulation of autophagy-lysosomal pathway, targeting lysosomal proteases to promote protein clearing, appears to play an important role in supporting healthy brain connectivity.
Another strategy to induce the autophagy-lysosomal pathway to avoid protein accumulation stress and cell death is by targeting a kinase, namely the mammalian target of rapamycin (mTOR), which is a major regulator of the autophagic process. There is ample evidence of a diversity of compounds that target mTOR to modulate autophagy directly, such as rapamycin, or indirectly, like agents that act on PI3K, SHIP-1, and AMPK (see Heras-Sandoval et al., 2020; Johnson et al., 2013; Deng et al., 2022; Kocak et al., 2022). Additionally, modulation of mTOR to induce autophagy leads to neuroprotective effects against synaptic dysfunction and cognitive decline (Singh et al., 2017; Gao et al., 2021).
5. Lifestyle choices to promote autophagy and synaptic health to avoid age-related cognitive decline
Much effort has been directed at finding avenues to offset aging-related cellular dysfunction, for instance the stress on the autophagy-lysosomal pathway (a major component of proteostasis) and the corresponding synaptic decline. The following life choice strategies have the potential to positively influence brain health and reduce the impact of aging: physical activity and healthy eating habits. Evidence from a population-based perspective, the World Dementia Council jointly with the Alzheimer’s Association concluded that only two ways are known to reduce the risk of dementia: i) regular physical activity associated with the management of cardiovascular risk factors such as diabetes, obesity, smoking, and hypertension, and ii) a healthy diet (World Dementia Council, WDC Dementia Risk Reduction Statement, 2015; Baumgart et al., 2015).
Physical activity holds stronger evidence to preserve cognitive decline and dementia by a variety of neurological mechanisms such as (i) release of brain growth factors to promote neurogenesis, (ii) modulation of brain metabolism, (iii) release of anti-inflammatory cytokines, (iv) enhancement of mitochondrial function and biogenesis, and (v) modulated release of neurotransmitter to modulate cognition (see Chen and Nakagawa, 2023; Sujkowski et al., 2022).
Most recently, the effects of physical exercise to promote cognitive health was recently associated with the positive modulation of myokines irisin and CatB. Irisin and CatB were elevated in human plasma by the exercise of the type that improves memory and increases brain-derived neurotrophic factor expression (Lourenco et al., 2019; Wrann et al., 2013; Wrann, 2015; Moon et al., 2016; Gaitán et al., 2021). Irisin was also shown to rescue plasticity and memory functions in AD mice (Lourenco et al., 2019) and to prevent protein accumulation and neuronal cell death by enhancing lysosomal degradation in the PD model (Kam et a., 2022). While CatB positive modulation increases protein clearance and cognitive measures in models of AD, α-synucleinopathy, and mild cognitive impairment (Mueller-Steiner et al., 2006; Butler et al., 2011; Wang et al., 2012; Embury et al., 2017; Hwang et al., 2019).
Additionally, regular physical exercise has been described as an activator of autophagy degradation to reverse the proteostasis dysfunction linked with aging or neurodegenerative disorders (Almeida. et al., 2018; Melo et al., 2018; Andreotti et al., 2020; Jian hao et al., 2019; Shen et al., 2021; Wang et al., 2022). Yet, exercise-induced hippocampal neurogenesis was associated with increased expression of autophagy-related proteins (Jang, 2020; Moon et al., 2016; Cordina-Martinez et al., 2019). In experimental models of neurodegenerative diseases, the exercise-induced restoration of the autophagy-lysosomal pathway, prevention of synaptic integrity disruption, and alleviation of cognitive impairment (Jian et al., 2022). Similar exercise effects on the synaptic integrity were described in transgenic AD mice (Zhang et al., 2020), in PD (Ahlskog, 2018), and in multiples models of neurodegenerative disease (Dauwan et al., 2021).
Another strategy to promote a healthy aging process avoiding cognitive decline is by having a plant-based diet. The impact of nutrition on cognition has been extensively studied, and several natural extracts and components have been found to have beneficial effects on cognitive function. Plant extracts and their components have been shown to reduce proteinopathy (Lee et al., 2009; Kim et al., 2018) and improve cognitive functioning (Smith et al., 2014; Solfrizzi et al., 2018; Travica et al., 2020). Moreover, maintaining a healthy diet, such as the Mediterranean diet, which has a high intake of vegetables, legumes, fruits and cereals, and unsaturated fatty acids, has been found to reduce the risk of developing dementia by 40% compared to those who consume dairy products and meat regularly (Scarneas et al., 2006).
The idea of beneficial plant-based neuroprotective agents is supported by epidemiological studies, such as analyses of traditional medicine and diets rich in antioxidants and natural products that might promote healthy cognitive aging (Trichopoulou & Vasilopoulou, 2000; Willcox et al., 2007; Joseph et al., 2009; Spencer, 2009). Interestingly, many natural extracts, such as those rich in flavonoids, polyphenols, and polyamine, have also been described as autophagy inducers with a crucial impact on synaptic plasticity using in vitro and in vivo models of degenerative diseases (see Stachiotti & Corsetti, 2020; Shaikh et al., 2021; Liu & Li, 2020). There is also a suggested interplay between age-related oxidative stress and autophagy-lysosomal signaling (Butler & Bahr, 2006) that may be governed, at least in part, by lifestyle choices that influence synaptic resilience and thus cognitive function. In addition to the putative compensatory responses activated to offset proteinopathy through protease regulation, it is very likely such responses involve a variety of genes (“vitagenes”) that express proteins involved in cellular homeostasis for the protection of cell health during events of stress and/or pathogenesis (see Calabrese et al., 2010, 2012). While anti-inflammatory strategies involve the cautious interplay of redox interactions with endogenous and exogenous defense systems, also is the case of neuroprotective routes requiring a delicate balance between the actions of endogenous compensatory responses and exogenous modulation of such responses. Related to such dual consideration of parallel responses, ideas for multi-targeting methods to maintain brain health involve negative modulation of degenerative signaling in conjunction with the positive modulation of endogenous protective pathways (Qneibi et al., 2023; Caba et al., 2021), thereby working to treat the multifaceted nature of different types of pathogenic condition perhaps by incorporating a specific natural product with a specific type of conventional therapy.
Clearance of proteins and expended organelles by the autophagy-lysosomal pathway is essential for cellular quality control and energy homeostasis. Lysosomes represent both degradation centers and signaling hubs that play important roles in cellular homeostasis and adaptation to multiple conditions through the regulation of lysosomal biogenesis and endolysosomal trafficking (Yang & Wang, 2021). Innovative research on the protein clearance pathway continues to provide new insights to the current understanding of vital mechanistic details including i) regulation of switching mechanisms between degradative and secretory functions of endolysosomal compartments (Li et al., 2023), ii) autolysosomal acidification which was found reduced in neurons well before Alzheimer-type amyloid deposition, with build-up of APP-βCTF selectively detected in de-acidified autolysosomes (Lee et al., 2022), and iii) synaptic compensation and regeneration pathways thought to be potential avenues to delay the onset of dementia (Bendiske & Bahr, 2003; Mueller-Steiner et al., 2006; Viswanathan et al., 2012; Embury et al., 2017; Farizatto et al., 2017b; Bhembre et al., 2023). Lifestyle choices, such as physical activity and a plant-based diet, influence components of the autophagy-lysosomal pathway, perhaps explaining their impact on brain health to provide significant preservation of cognitive function. Therefore, there is growing evidence that stimulation of autophagy-lysosomal functionality is a feasible avenue to promote brain health and avoid age-related cognitive decline.
5. Final conclusions
Age-related weakening of the prodigious clearance activity known for the autophagy-lysosomal system, a major component of proteostasis, is thought to be a key contributor to cognitive deterioration during aging, as is the associated age-related synaptic loss often linked to the indication of dementia onset. The compromised protein clearance during the aging process contributes to a variety of protein accumulation pathology that is a hallmark of many neurodegenerative diseases such as AD, PD, and frontotemporal dementia. Furthermore, age-associated synaptic pathology, which can be amplified by life threaten episodes, is the best-correlated maker of cognitive decline, which can also be influenced by compromised proteostasis status.
Positive modulation of autophagy-lysosomal pathway associated with synaptic protective interventions has been described as a therapeutic avenue to prevent or treat age-related cognitive decline and dementias. Several lines of new research aim to develop new pharmacological agents to treat age-related disorders by targeting protein clearance systems.
Physical exercise and a healthy diet, two excellent examples of good lifestyle choices, protect the brain, at least in part, by improving autophagy-lysosomal pathways and the modulation of synaptic integrity. However, there still a need for more research to fully characterize the physical exercise (e.g. time, intensity, frequency, type) and diet (e.g. nutritional information) in order to tackle the objective of delaying age-related cognitive decline and preventing AD and related dementias.
Figure 1.

Optimizing proteostasis and synaptic integrity via lifestyle choices to mitigate progressive proteinopathies. The displayed outer shell indicates the protective effects of healthy physical activity and diet, in contrast to the risks of various vulnerabilities including i) aging, ii) early deterioration of cognitive functions (e.g. MCI), iii) initiation of proteinopathy which can occur years to decades before dementia onset, iv) toxin exposures which can have lasting neurological effects, and v) mild to severe TBI. Regarding the latter, neurological damage from TBIs can be immediate and can continue to evolve for an extended period. In addition, subconcussive neurotrauma may lead to persistent neurological complications, often when brain damage is not detected.
Acknowledgments:
The authors thank Dr. Elise Dixon, Director of the University of North Carolina-Pembroke Writing Center, for proofreading the manuscript. They also thank Kinsley Adams, Aaron Bonner-Wright, Minh Giang, and Kani McRae for helpful assistance.
Footnotes
Conflicts of Interest: Dr. Bahr is listed as inventor on U.S. Patent 8,163,953 (Compounds for lysosomal modulation and methods of use), and U.S. Patent 10,702,571 (lysosomal enhancing compounds).
References
- 1.World Population Prospects 2022: Summary of Results; UN; DESA/POP/2022/TR/NO. 3.: New York, 2022. [Google Scholar]
- 2.WHO, Aging. Fact and Sheets 2021. [Google Scholar]
- 3.Curtin SC; Tejada-Vera B; Anderson RN Death Rates by Marital Status for Leading Causes of Death: United States, 2010–2019. Natl Vital Stat Rep 2021, 70, 1–17. [PubMed] [Google Scholar]
- 4.Valdes Hernandez Mdel C; Booth T; Murray C; Gow AJ; Penke L; Morris Z; Maniega SM; Royle NA; Aribisala BS; Bastin ME; et al. Brain white matter damage in aging and cognitive ability in youth and older age. Neurobiol Aging 2013, 34, 2740–2747, doi: 10.1016/j.neurobiolaging.2013.05.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Morrison JH; Baxter MG The ageing cortical synapse: hallmarks and implications for cognitive decline. Nat Rev Neurosci 2012, 13, 240–250, doi: 10.1038/nrn3200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Henstridge CM; Pickett E; Spires-Jones TL Synaptic pathology: A shared mechanism in neurological disease. Ageing Res Rev 2016, 28, 72–84, doi: 10.1016/j.arr.2016.04.005. [DOI] [PubMed] [Google Scholar]
- 7.Gasiorowska A; Wydrych M; Drapich P; Zadrozny M; Steczkowska M; Niewiadomski W; Niewiadomska G The Biology and Pathobiology of Glutamatergic, Cholinergic, and Dopaminergic Signaling in the Aging Brain. Front Aging Neurosci 2021, 13, 654931, doi: 10.3389/fnagi.2021.654931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Segovia G; Porras A; Del Arco A; Mora F Glutamatergic neurotransmission in aging: a critical perspective. Mech Ageing Dev 2001, 122, 1–29, doi: 10.1016/s0047-6374(00)00225-6. [DOI] [PubMed] [Google Scholar]
- 9.Wang Y; Chan GL; Holden JE; Dobko T; Mak E; Schulzer M; Huser JM; Snow BJ; Ruth TJ; Calne DB; et al. Age-dependent decline of dopamine D1 receptors in human brain: a PET study. Synapse 1998, 30, 56–61, doi:. [DOI] [PubMed] [Google Scholar]
- 10.Wenk GL; Pierce DJ; Struble RG; Price DL; Cork LC Age-related changes in multiple neurotransmitter systems in the monkey brain. Neurobiol Aging 1989, 10, 11–19, doi: 10.1016/s0197-4580(89)80005-3. [DOI] [PubMed] [Google Scholar]
- 11.Hedden T; Gabrieli JD Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci 2004, 5, 87–96, doi: 10.1038/nrn1323. [DOI] [PubMed] [Google Scholar]
- 12.Karrer TM; McLaughlin CL; Guaglianone CP; Samanez-Larkin GR Reduced serotonin receptors and transporters in normal aging adults: a meta-analysis of PET and SPECT imaging studies. Neurobiol Aging 2019, 80, 1–10, doi: 10.1016/j.neurobiolaging.2019.03.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lucki I The spectrum of behaviors influenced by serotonin. Biol Psychiatry 1998, 44, 151–162, doi: 10.1016/s0006-3223(98)00139-5. [DOI] [PubMed] [Google Scholar]
- 14.Azpurua J; Eaton BA Neuronal epigenetics and the aging synapse. Front Cell Neurosci 2015, 9, 208, doi: 10.3389/fncel.2015.00208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Berchtold NC; Coleman PD; Cribbs DH; Rogers J; Gillen DL; Cotman CW Synaptic genes are extensively downregulated across multiple brain regions in normal human aging and Alzheimer’s disease. Neurobiol Aging 2013, 34, 1653–1661, doi: 10.1016/j.neurobiolaging.2012.11.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Jamjoom AAB; Rhodes J; Andrews PJD; Grant SGN The synapse in traumatic brain injury. Brain 2021, 144, 18–31, doi: 10.1093/brain/awaa321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Przekwas A; Somayaji MR; Gupta RK Synaptic Mechanisms of Blast-Induced Brain Injury. Front Neurol 2016, 7, 2, doi: 10.3389/fneur.2016.00002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Vogel EW 3rd; Rwema SH; Meaney DF; Bass CR; Morrison B 3rd. Primary Blast Injury Depressed Hippocampal Long-Term Potentiation through Disruption of Synaptic Proteins. J Neurotrauma 2017, 34, 1063–1073, doi: 10.1089/neu.2016.4578. [DOI] [PubMed] [Google Scholar]
- 19.Smith M; Piehler T; Benjamin R; Farizatto KL; Pait MC; Almeida MF; Ghukasyan VV; Bahr BA Blast waves from detonated military explosive reduce GluR1 and synaptophysin levels in hippocampal slice cultures. Exp Neurol 2016, 286, 107–115, doi: 10.1016/j.expneurol.2016.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Almeida MF; Piehler T; Carstens KE; Zhao M; Samadi M; Dudek SM; Norton CJ; Parisian CM; Farizatto KLG; Bahr BA Distinct and dementia-related synaptopathy in the hippocampus after military blast exposures. Brain Pathol 2021, 31, e12936, doi: 10.1111/bpa.12936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ratliff WA; Mervis RF; Citron BA; Schwartz B; Rubovitch V; Schreiber S; Pick CG Effect of mild blast-induced TBI on dendritic architecture of the cortex and hippocampus in the mouse. Sci Rep 2020, 10, 2206, doi: 10.1038/s41598-020-59252-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Meabon JS; Huber BR; Cross DJ; Richards TL; Minoshima S; Pagulayan KF; Li G; Meeker KD; Kraemer BC; Petrie EC; et al. Repetitive blast exposure in mice and combat veterans causes persistent cerebellar dysfunction. Sci Transl Med 2016, 8, 321ra326, doi: 10.1126/scitranslmed.aaa9585. [DOI] [PubMed] [Google Scholar]
- 23.Ansari MA; Roberts KN; Scheff SW A time course of contusion-induced oxidative stress and synaptic proteins in cortex in a rat model of TBI. J Neurotrauma 2008, 25, 513–526, doi: 10.1089/neu.2007.0451. [DOI] [PubMed] [Google Scholar]
- 24.Ansari MA; Roberts KN; Scheff SW Oxidative stress and modification of synaptic proteins in hippocampus after traumatic brain injury. Free Radic Biol Med 2008, 45, 443–452, doi: 10.1016/j.freeradbiomed.2008.04.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Gao X; Deng P; Xu ZC; Chen J Moderate traumatic brain injury causes acute dendritic and synaptic degeneration in the hippocampal dentate gyrus. PLoS One 2011, 6, e24566, doi: 10.1371/journal.pone.0024566. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Shojo H; Kibayashi K Changes in localization of synaptophysin following fluid percussion injury in the rat brain. Brain Res 2006, 1078, 198–211, doi: 10.1016/j.brainres.2006.01.063. [DOI] [PubMed] [Google Scholar]
- 27.Carlson SW; Henchir J; Dixon CE Lateral Fluid Percussion Injury Impairs Hippocampal Synaptic Soluble N-Ethylmaleimide Sensitive Factor Attachment Protein Receptor Complex Formation. Front Neurol 2017, 8, 532, doi: 10.3389/fneur.2017.00532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Yokoyama K; Araki S; Murata K; Nishikitani M; Okumura T; Ishimatsu S; Takasu N; White RF Chronic neurobehavioral effects of Tokyo subway sarin poisoning in relation to posttraumatic stress disorder. Arch Environ Health 1998, 53, 249–256, doi: 10.1080/00039899809605705. [DOI] [PubMed] [Google Scholar]
- 29.Bullman TA; Mahan CM; Kang HK; Page WF Mortality in US Army Gulf War veterans exposed to 1991 Khamisiyah chemical munitions destruction. Am J Public Health 2005, 95, 1382–1388, doi: 10.2105/AJPH.2004.045799. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Hayden KM; Norton MC; Darcey D; Ostbye T; Zandi PP; Breitner JC; Welsh-Bohmer KA; Cache County Study I Occupational exposure to pesticides increases the risk of incident AD: the Cache County study. Neurology 2010, 74, 1524–1530, doi: 10.1212/WNL.0b013e3181dd4423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Munirathinam S; Bahr BA Repeated contact with subtoxic soman leads to synaptic vulnerability in hippocampus. J Neurosci Res 2004, 77, 739–746, doi: 10.1002/jnr.20209. [DOI] [PubMed] [Google Scholar]
- 32.Sanchez-Santed F; Canadas F; Flores P; Lopez-Grancha M; Cardona D Long-term functional neurotoxicity of paraoxon and chlorpyrifos: behavioural and pharmacological evidence. Neurotoxicol Teratol 2004, 26, 305–317, doi: 10.1016/j.ntt.2003.10.008. [DOI] [PubMed] [Google Scholar]
- 33.Todorovic MS; Cowan ML; Balint CA; Sun C; Kapur J Characterization of status epilepticus induced by two organophosphates in rats. Epilepsy Res 2012, 101, 268–276, doi: 10.1016/j.eplepsyres.2012.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Deshpande LS; Phillips K; Huang B; DeLorenzo RJ Chronic behavioral and cognitive deficits in a rat survival model of paraoxon toxicity. Neurotoxicology 2014, 44, 352–357, doi: 10.1016/j.neuro.2014.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Deshpande LS; Blair RE; Phillips KF; DeLorenzo RJ Role of the calcium plateau in neuronal injury and behavioral morbidities following organophosphate intoxication. Ann N Y Acad Sci 2016, 1374, 176–183, doi: 10.1111/nyas.13122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Farizatto KLG; McEwan SA; Naidoo V; Nikas SP; Shukla VG; Almeida MF; Byrd A; Romine H; Karanian DA; Makriyannis A; et al. Inhibitor of endocannabinoid deactivation protects against in vitro and in vivo neurotoxic effects of paraoxon. J Mol Neurosci 2017a, 63, 115–122, doi: 10.1007/s12031-017-0963-4. [DOI] [PubMed] [Google Scholar]
- 37.McDonough JH Jr.; Shih TM Neuropharmacological mechanisms of nerve agent-induced seizure and neuropathology. Neurosci Biobehav Rev 1997, 21, 559–579, doi: 10.1016/s0149-7634(96)00050-4. [DOI] [PubMed] [Google Scholar]
- 38.Du J; Vegh V; Reutens DC Small changes in synaptic gain lead to seizure-like activity in neuronal network at criticality. Sci Rep 2019, 9, 1097, doi: 10.1038/s41598-018-37646-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Rotenberg JS; Newmark J Nerve agent attacks on children: diagnosis and management. Pediatrics 2003, 112, 648–658, doi: 10.1542/peds.112.3.648. [DOI] [PubMed] [Google Scholar]
- 40.Santos HR; Cintra WM; Aracava Y; Maciel CM; Castro NG; Albuquerque EX Spine density and dendritic branching pattern of hippocampal CA1 pyramidal neurons in neonatal rats chronically exposed to the organophosphate paraoxon. Neurotoxicology 2004, 25, 481–494, doi: 10.1016/j.neuro.2004.01.007. [DOI] [PubMed] [Google Scholar]
- 41.Mattson MP; Cheng B; Davis D; Bryant K; Lieberburg I; Rydel RE beta-Amyloid peptides destabilize calcium homeostasis and render human cortical neurons vulnerable to excitotoxicity. J Neurosci 1992, 12, 376–389, doi: 10.1523/JNEUROSCI.12-02-00376.1992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Bahr BA; Abai B; Gall CM; Vanderklish PW; Hoffman KB; Lynch G Induction of beta-amyloid-containing polypeptides in hippocampus: evidence for a concomitant loss of synaptic proteins and interactions with an excitotoxin. Exp Neurol 1994, 129, 81–94, doi: 10.1006/exnr.1994.1149. [DOI] [PubMed] [Google Scholar]
- 43.Baldi I; Gruber A; Rondeau V; Lebailly P; Brochard P; Fabrigoule C Neurobehavioral effects of long-term exposure to pesticides: results from the 4-year follow-up of the PHYTONER study. Occup Environ Med 2011, 68, 108–115, doi: 10.1136/oem.2009.047811. [DOI] [PubMed] [Google Scholar]
- 44.Jones N Alzheimer disease: Risk of dementia and Alzheimer disease increases with occupational pesticide exposure. Nat Rev Neurol 2010, 6, 353, doi: 10.1038/nrneurol.2010.80. [DOI] [PubMed] [Google Scholar]
- 45.Parron T; Requena M; Hernandez AF; Alarcon R Association between environmental exposure to pesticides and neurodegenerative diseases. Toxicol Appl Pharmacol 2011, 256, 379–385, doi: 10.1016/j.taap.2011.05.006. [DOI] [PubMed] [Google Scholar]
- 46.Harris JA; Devidze N; Verret L; Ho K; Halabisky B; Thwin MT; Kim D; Hamto P; Lo I; Yu GQ; et al. Transsynaptic progression of amyloid-beta-induced neuronal dysfunction within the entorhinal-hippocampal network. Neuron 2010, 68, 428–441, doi: 10.1016/j.neuron.2010.10.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.DeKosky ST; Scheff SW Synapse loss in frontal cortex biopsies in Alzheimer’s disease: correlation with cognitive severity. Ann Neurol 1990, 27, 457–464, doi: 10.1002/ana.410270502. [DOI] [PubMed] [Google Scholar]
- 48.Terry RD; Masliah E; Salmon DP; Butters N; DeTeresa R; Hill R; Hansen LA; Katzman R Physical basis of cognitive alterations in Alzheimer’s disease: synapse loss is the major correlate of cognitive impairment. Ann Neurol 1991, 30, 572–580, doi: 10.1002/ana.410300410. [DOI] [PubMed] [Google Scholar]
- 49.Selkoe DJ Alzheimer’s disease is a synaptic failure. Science 2002, 298, 789–791, doi: 10.1126/science.1074069. [DOI] [PubMed] [Google Scholar]
- 50.Day M; Wang Z; Ding J; An X; Ingham CA; Shering AF; Wokosin D; Ilijic E; Sun Z; Sampson AR; et al. Selective elimination of glutamatergic synapses on striatopallidal neurons in Parkinson disease models. Nat Neurosci 2006, 9, 251–259, doi: 10.1038/nn1632. [DOI] [PubMed] [Google Scholar]
- 51.Bellucci A; Mercuri NB; Venneri A; Faustini G; Longhena F; Pizzi M; Missale C; Spano P Review: Parkinson’s disease: from synaptic loss to connectome dysfunction. Neuropathol Appl Neurobiol 2016, 42, 77–94, doi: 10.1111/nan.12297. [DOI] [PubMed] [Google Scholar]
- 52.Liu X; Erikson C; Brun A Cortical synaptic changes and gliosis in normal aging, Alzheimer’s disease and frontal lobe degeneration. Dementia 1996, 7, 128–134, doi: 10.1159/000106867. [DOI] [PubMed] [Google Scholar]
- 53.Mackenzie IR; Neumann M; Bigio EH; Cairns NJ; Alafuzoff I; Kril J; Kovacs GG; Ghetti B; Halliday G; Holm IE; et al. Nomenclature for neuropathologic subtypes of frontotemporal lobar degeneration: consensus recommendations. Acta Neuropathol 2009, 117, 15–18, doi: 10.1007/s00401-008-0460-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Lipton AM; Cullum CM; Satumtira S; Sontag E; Hynan LS; White CL 3rd; Bigio EH Contribution of asymmetric synapse loss to lateralizing clinical deficits in frontotemporal dementias. Arch Neurol 2001, 58, 1233–1239, doi: 10.1001/archneur.58.8.1233. [DOI] [PubMed] [Google Scholar]
- 55.Fischer LR; Culver DG; Tennant P; Davis AA; Wang M; Castellano-Sanchez A; Khan J; Polak MA; Glass JD Amyotrophic lateral sclerosis is a distal axonopathy: evidence in mice and man. Exp Neurol 2004, 185, 232–240, doi: 10.1016/j.expneurol.2003.10.004. [DOI] [PubMed] [Google Scholar]
- 56.Frey D; Schneider C; Xu L; Borg J; Spooren W; Caroni P Early and selective loss of neuromuscular synapse subtypes with low sprouting competence in motoneuron diseases. J Neurosci 2000, 20, 2534–2542, doi: 10.1523/JNEUROSCI.20-07-02534.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Li JY; Plomann M; Brundin P Huntington’s disease: a synaptopathy? Trends Mol Med 2003, 9, 414–420, doi: 10.1016/j.molmed.2003.08.006. [DOI] [PubMed] [Google Scholar]
- 58.Smith R; Brundin P; Li JY Synaptic dysfunction in Huntington’s disease: a new perspective. Cell Mol Life Sci 2005, 62, 1901–1912, doi: 10.1007/s00018-005-5084-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Mandolesi G; Gentile A; Musella A; Fresegna D; De Vito F; Bullitta S; Sepman H; Marfia GA; Centonze D Synaptopathy connects inflammation and neurodegeneration in multiple sclerosis. Nat Rev Neurol 2015, 11, 711–724, doi: 10.1038/nrneurol.2015.222. [DOI] [PubMed] [Google Scholar]
- 60.Stampanoni Bassi M; Mori F; Buttari F; Marfia GA; Sancesario A; Centonze D; Iezzi E Neurophysiology of synaptic functioning in multiple sclerosis. Clin Neurophysiol 2017, 128, 1148–1157, doi: 10.1016/j.clinph.2017.04.006. [DOI] [PubMed] [Google Scholar]
- 61.Finley D Recognition and processing of ubiquitin-protein conjugates by the proteasome. Annu Rev Biochem 2009, 78, 477–513, doi: 10.1146/annurev.biochem.78.081507.101607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Yang Z; Klionsky DJ Mammalian autophagy: core molecular machinery and signaling regulation. Curr Opin Cell Biol 2010, 22, 124–131, doi: 10.1016/j.ceb.2009.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Farizatto KLG; Ikonne US; Almeida MF; Ferrari MFR; Bahr BA Abeta42-mediated proteasome inhibition and associated tau pathology in hippocampus are governed by a lysosomal response involving cathepsin B: Evidence for protective crosstalk between protein clearance pathways. PLoS One 2017b, 12, e0182895, doi: 10.1371/journal.pone.0182895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Korolchuk VI; Menzies FM; Rubinsztein DC Mechanisms of cross-talk between the ubiquitin-proteasome and autophagy-lysosome systems. FEBS Lett 2010, 584, 1393–1398, doi: 10.1016/j.febslet.2009.12.047. [DOI] [PubMed] [Google Scholar]
- 65.Cohen-Kaplan V; Livneh I; Avni N; Cohen-Rosenzweig C; Ciechanover A The ubiquitin-proteasome system and autophagy: Coordinated and independent activities. Int J Biochem Cell Biol 2016, 79, 403–418, doi: 10.1016/j.biocel.2016.07.019. [DOI] [PubMed] [Google Scholar]
- 66.Liebl MP; Hoppe T It’s all about talking: two-way communication between proteasomal and lysosomal degradation pathways via ubiquitin. Am J Physiol Cell Physiol 2016, 311, C166–178, doi: 10.1152/ajpcell.00074.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Pohl C; Dikic I Cellular quality control by the ubiquitin-proteasome system and autophagy. Science 2019, 366, 818–822, doi: 10.1126/science.aax3769. [DOI] [PubMed] [Google Scholar]
- 68.Taylor RC; Dillin A Aging as an event of proteostasis collapse. Cold Spring Harb Perspect Biol 2011, 3, doi: 10.1101/cshperspect.a004440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Morimoto RI; Cuervo AM Protein homeostasis and aging: taking care of proteins from the cradle to the grave. J Gerontol A Biol Sci Med Sci 2009, 64, 167–170, doi: 10.1093/gerona/gln071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.López-Otín C; Blasco MA; Partridge L; Serrano M; Kroemer G Hallmarks of aging: An expanding universe. Cell 2023, 186, 243–278, doi: 10.1016/j.cell.2022.11.001. [DOI] [PubMed] [Google Scholar]
- 71.Brehme M; Voisine C; Rolland T; Wachi S; Soper JH; Zhu Y; Orton K; Villella A; Garza D; Vidal M; et al. A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease. Cell Rep 2014, 9, 1135–1150, doi: 10.1016/j.celrep.2014.09.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Shemesh N; Jubran J; Dror S; Simonovsky E; Basha O; Argov C; Hekselman I; Abu-Qarn M; Vinogradov E; Mauer O; et al. The landscape of molecular chaperones across human tissues reveals a layered architecture of core and variable chaperones. Nat Commun 2021, 12, 2180, doi: 10.1038/s41467-021-22369-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Kelmer Sacramento E; Kirkpatrick JM; Mazzetto M; Baumgart M; Bartolome A; Di Sanzo S; Caterino C; Sanguanini M; Papaevgeniou N; Lefaki M; et al. Reduced proteasome activity in the aging brain results in ribosome stoichiometry loss and aggregation. Mol Syst Biol 2020, 16, e9596, doi: 10.15252/msb.20209596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Schmidt M; Finley D Regulation of proteasome activity in health and disease. Biochim Biophys Acta 2014, 1843, 13–25, doi: 10.1016/j.bbamcr.2013.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Saez I; Vilchez D The Mechanistic Links Between Proteasome Activity, Aging and Age-related Diseases. Curr Genomics 2014, 15, 38–51, doi: 10.2174/138920291501140306113344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Keller JN; Gee J; Ding Q The proteasome in brain aging. Ageing Res Rev 2002, 1, 279–293, doi: 10.1016/s1568-1637(01)00006-x. [DOI] [PubMed] [Google Scholar]
- 77.Lipinski MM; Zheng B; Lu T; Yan Z; Py BF; Ng A; Xavier RJ; Li C; Yankner BA; Scherzer CR; et al. Genome-wide analysis reveals mechanisms modulating autophagy in normal brain aging and in Alzheimer’s disease. Proc Natl Acad Sci U S A 2010, 107, 14164–14169, doi: 10.1073/pnas.1009485107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Cuervo AM Autophagy and aging--when “all you can eat” is yourself. Sci Aging Knowledge Environ 2003, 2003, pe25, doi: 10.1126/sageke.2003.36.pe25. [DOI] [PubMed] [Google Scholar]
- 79.Rubinsztein DC; Marino G; Kroemer G Autophagy and aging. Cell 2011, 146, 682–695, doi: 10.1016/j.cell.2011.07.030. [DOI] [PubMed] [Google Scholar]
- 80.Nixon RA; Yang DS Autophagy and neuronal cell death in neurological disorders. Cold Spring Harb Perspect Biol 2012, 4, doi: 10.1101/cshperspect.a008839. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Knowles TP; Vendruscolo M; Dobson CM The amyloid state and its association with protein misfolding diseases. Nat Rev Mol Cell Biol 2014, 15, 384–396, doi: 10.1038/nrm3810. [DOI] [PubMed] [Google Scholar]
- 82.Wilson DM 3rd; Cookson MR; Van Den Bosch L; Zetterberg H; Holtzman DM; Dewachter I Hallmarks of neurodegenerative diseases. Cell 2023, 186, 693–714, doi: 10.1016/j.cell.2022.12.032. [DOI] [PubMed] [Google Scholar]
- 83.Soto C; Pritzkow S Protein misfolding, aggregation, and conformational strains in neurodegenerative diseases. Nat Neurosci 2018, 21, 1332–1340, doi: 10.1038/s41593-018-0235-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Knopman DS; Amieva H; Petersen RC; Chetelat G; Holtzman DM; Hyman BT; Nixon RA; Jones DT Alzheimer disease. Nat Rev Dis Primers 2021, 7, 33, doi: 10.1038/s41572-021-00269-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Wong YC; Krainc D alpha-synuclein toxicity in neurodegeneration: mechanism and therapeutic strategies. Nat Med 2017, 23, 1–13, doi: 10.1038/nm.4269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Hegde AN Proteolysis, synaptic plasticity and memory. Neurobiol Learn Mem 2017, 138, 98–110, doi: 10.1016/j.nlm.2016.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Rowland AM; Richmond JE; Olsen JG; Hall DH; Bamber BA Presynaptic terminals independently regulate synaptic clustering and autophagy of GABAA receptors in Caenorhabditis elegans. J Neurosci 2006, 26, 1711–1720, doi: 10.1523/JNEUROSCI.2279-05.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Shehata M; Matsumura H; Okubo-Suzuki R; Ohkawa N; Inokuchi K Neuronal stimulation induces autophagy in hippocampal neurons that is involved in AMPA receptor degradation after chemical long-term depression. J Neurosci 2012, 32, 10413–10422, doi: 10.1523/JNEUROSCI.4533-11.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Hernandez D; Torres CA; Setlik W; Cebrian C; Mosharov EV; Tang G; Cheng HC; Kholodilov N; Yarygina O; Burke RE; et al. Regulation of presynaptic neurotransmission by macroautophagy. Neuron 2012, 74, 277–284, doi: 10.1016/j.neuron.2012.02.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Bingol B; Schuman EM Activity-dependent dynamics and sequestration of proteasomes in dendritic spines. Nature 2006, 441, 1144–1148, doi: 10.1038/nature04769. [DOI] [PubMed] [Google Scholar]
- 91.Kulkarni VV; Anand A; Herr JB; Miranda C; Vogel MC; Maday S Synaptic activity controls autophagic vacuole motility and function in dendrites. J Cell Biol 2021, 220, doi: 10.1083/jcb.202002084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Wang X; Schwarz TL The mechanism of Ca2+ -dependent regulation of kinesin-mediated mitochondrial motility. Cell 2009, 136, 163–174, doi: 10.1016/j.cell.2008.11.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Fleming A; Rubinsztein DC Autophagy in Neuronal Development and Plasticity. Trends Neurosci 2020, 43, 767–779, doi: 10.1016/j.tins.2020.07.003. [DOI] [PubMed] [Google Scholar]
- 94.Hwang J; Estick CM; Ikonne US; Butler D; Pait MC; Elliott LH; Ruiz S; Smith K; Rentschler KM; Mundell C; et al. The Role of Lysosomes in a Broad Disease-Modifying Approach Evaluated across Transgenic Mouse Models of Alzheimer’s Disease and Parkinson’s Disease and Models of Mild Cognitive Impairment. Int J Mol Sci 2019, 20, doi: 10.3390/ijms20184432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Glatigny M; Moriceau S; Rivagorda M; Ramos-Brossier M; Nascimbeni AC; Lante F; Shanley MR; Boudarene N; Rousseaud A; Friedman AK; et al. Autophagy Is Required for Memory Formation and Reverses Age-Related Memory Decline. Curr Biol 2019, 29, 435–448 e438, doi: 10.1016/j.cub.2018.12.021. [DOI] [PubMed] [Google Scholar]
- 96.Spires-Jones TL; Hyman BT The intersection of amyloid beta and tau at synapses in Alzheimer’s disease. Neuron 2014, 82, 756–771, doi: 10.1016/j.neuron.2014.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Rajmohan R; Reddy PH Amyloid-beta and phosphorylated tau accumulations cause abnormalities at synapses of Alzheimer’s disease neurons. J Alzheimers Dis 2017, 57, 975–999, doi: 10.3233/JAD-160612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Chevalier-Larsen E; Holzbaur EL Axonal transport and neurodegenerative disease. Biochim Biophys Acta 2006, 1762, 1094–1108, doi: 10.1016/j.bbadis.2006.04.002. [DOI] [PubMed] [Google Scholar]
- 99.Goldstein LS Axonal transport and neurodegenerative disease: can we see the elephant? Prog Neurobiol 2012, 99, 186–190, doi: 10.1016/j.pneurobio.2012.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Klionsky DJ; Petroni G; Amaravadi RK; Baehrecke EH; Ballabio A; Boya P; Bravo-San Pedro JM; Cadwell K; Cecconi F; Choi AMK; et al. Autophagy in major human diseases. EMBO J 2021, 40, e108863, doi: 10.15252/embj.2021108863. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Butler D; Hwang J; Estick C; Nishiyama A; Kumar SS; Baveghems C; Young-Oxendine HB; Wisniewski ML; Charalambides A; Bahr BA Protective effects of positive lysosomal modulation in Alzheimer’s disease transgenic mouse models. PLoS One 2011, 6, e20501, doi: 10.1371/journal.pone.0020501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Lee JH; Yu WH; Kumar A; Lee S; Mohan PS; Peterhoff CM; Wolfe DM; Martinez-Vicente M; Massey AC; Sovak G; et al. Lysosomal proteolysis and autophagy require presenilin 1 and are disrupted by Alzheimer-related PS1 mutations. Cell 2010, 141, 1146–1158, doi: 10.1016/j.cell.2010.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Mueller-Steiner S; Zhou Y; Arai H; Roberson ED; Sun B; Chen J; Wang X; Yu G; Esposito L; Mucke L; et al. Antiamyloidogenic and neuroprotective functions of cathepsin B: implications for Alzheimer’s disease. Neuron 2006, 51, 703–714, doi: 10.1016/j.neuron.2006.07.027. [DOI] [PubMed] [Google Scholar]
- 104.Wang C; Sun B; Zhou Y; Grubb A; Gan L Cathepsin B degrades amyloid-beta in mice expressing wild-type human amyloid precursor protein. J Biol Chem 2012, 287, 39834–39841, doi: 10.1074/jbc.M112.371641. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Bendiske J; Bahr BA Lysosomal activation is a compensatory response against protein accumulation and associated synaptopathogenesis -- an approach for slowing Alzheimer disease? J Neuropathol Exp Neurol 2003, 62, 451–463, doi: 10.1093/jnen/62.5.451. [DOI] [PubMed] [Google Scholar]
- 106.Cermak S; Kosicek M; Mladenovic-Djordjevic A; Smiljanic K; Kanazir S; Hecimovic S Loss of cathepsin B and L leads to lysosomal dysfunction, NPC-like cholesterol sequestration and accumulation of the key Alzheimer’s proteins. PLoS One 2016, 11, e0167428, doi: 10.1371/journal.pone.0167428. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Yang DS; Stavrides P; Mohan PS; Kaushik S; Kumar A; Ohno M; Schmidt SD; Wesson D; Bandyopadhyay U; Jiang Y; et al. Reversal of autophagy dysfunction in the TgCRND8 mouse model of Alzheimer’s disease ameliorates amyloid pathologies and memory deficits. Brain 2011, 134, 258–277, doi: 10.1093/brain/awq341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Sun B; Zhou Y; Halabisky B; Lo I; Cho SH; Mueller-Steiner S; Devidze N; Wang X; Grubb A; Gan L Cystatin C-cathepsin B axis regulates amyloid beta levels and associated neuronal deficits in an animal model of Alzheimer’s disease. Neuron 2008, 60, 247–257, doi: 10.1016/j.neuron.2008.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Embury CM; Dyavarshetty B; Lu Y; Wiederin JL; Ciborowski P; Gendelman HE; Kiyota T Cathepsin B improves ss-amyloidosis and learning and memory in models of Alzheimer’s disease. J Neuroimmune Pharmacol 2017, 12, 340–352, doi: 10.1007/s11481-016-9721-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Stoka V; Turk V; Turk B Lysosomal cathepsins and their regulation in aging and neurodegeneration. Ageing Res Rev 2016, 32, 22–37, doi: 10.1016/j.arr.2016.04.010. [DOI] [PubMed] [Google Scholar]
- 111.Moon HY; Becke A; Berron D; Becker B; Sah N; Benoni G; Janke E; Lubejko ST; Greig NH; Mattison JA; et al. Running-induced systemic cathepsin B secretion is associated with memory function. Cell Metab 2016, 24, 332–340, doi: 10.1016/j.cmet.2016.05.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Heras-Sandoval D; Perez-Rojas JM; Pedraza-Chaverri J Novel compounds for the modulation of mTOR and autophagy to treat neurodegenerative diseases. Cell Signal 2020, 65, 109442, doi: 10.1016/j.cellsig.2019.109442. [DOI] [PubMed] [Google Scholar]
- 113.Johnson SC; Rabinovitch PS; Kaeberlein M mTOR is a key modulator of ageing and age-related disease. Nature 2013, 493, 338–345, doi: 10.1038/nature11861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Deng Z; Dong Y; Zhou X; Lu JH; Yue Z Pharmacological modulation of autophagy for Alzheimer’s disease therapy: Opportunities and obstacles. Acta Pharm Sin B 2022, 12, 1688–1706, doi: 10.1016/j.apsb.2021.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Kocak M; Ezazi Erdi S; Jorba G; Maestro I; Farres J; Kirkin V; Martinez A; Pless O Targeting autophagy in disease: established and new strategies. Autophagy 2022, 18, 473–495, doi: 10.1080/15548627.2021.1936359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Singh AK; Kashyap MP; Tripathi VK; Singh S; Garg G; Rizvi SI Neuroprotection Through Rapamycin-Induced Activation of Autophagy and PI3K/Akt1/mTOR/CREB Signaling Against Amyloid-beta-Induced Oxidative Stress, Synaptic/Neurotransmission Dysfunction, and Neurodegeneration in Adult Rats. Mol Neurobiol 2017, 54, 5815–5828, doi: 10.1007/s12035-016-0129-3. [DOI] [PubMed] [Google Scholar]
- 117.Gao S; Zhang S; Zhou H; Tao X; Ni Y; Pei D; Kang S; Yan W; Lu J Role of mTOR-Regulated Autophagy in Synaptic Plasticity Related Proteins Downregulation and the Reference Memory Deficits Induced by Anesthesia/Surgery in Aged Mice. Front Aging Neurosci 2021, 13, 628541, doi: 10.3389/fnagi.2021.628541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Baumgart M; Snyder HM; Carrillo MC; Fazio S; Kim H; Johns H Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective. Alzheimers Dement 2015, 11, 718–726, doi: 10.1016/j.jalz.2015.05.016. [DOI] [PubMed] [Google Scholar]
- 119.Chen C; Nakagawa S Physical activity for cognitive health promotion: An overview of the underlying neurobiological mechanisms. Ageing Res Rev 2023, 86, 101868, doi: 10.1016/j.arr.2023.101868. [DOI] [PubMed] [Google Scholar]
- 120.Sujkowski A; Hong L; Wessells RJ; Todi SV The protective role of exercise against age-related neurodegeneration. Ageing Res Rev 2022, 74, 101543, doi: 10.1016/j.arr.2021.101543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Lourenco MV; Frozza RL; de Freitas GB; Zhang H; Kincheski GC; Ribeiro FC; Goncalves RA; Clarke JR; Beckman D; Staniszewski A; et al. Exercise-linked FNDC5/irisin rescues synaptic plasticity and memory defects in Alzheimer’s models. Nat Med 2019, 25, 165–175, doi: 10.1038/s41591-018-0275-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Wrann CD; White JP; Salogiannnis J; Laznik-Bogoslavski D; Wu J; Ma D; Lin JD; Greenberg ME; Spiegelman BM Exercise induces hippocampal BDNF through a PGC-1alpha/FNDC5 pathway. Cell Metab 2013, 18, 649–659, doi: 10.1016/j.cmet.2013.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Wrann CD FNDC5/irisin - their role in the nervous system and as a mediator for beneficial effects of exercise on the brain. Brain Plast 2015, 1, 55–61, doi: 10.3233/BPL-150019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Gaitan JM; Moon HY; Stremlau M; Dubal DB; Cook DB; Okonkwo OC; van Praag H Effects of Aerobic Exercise Training on Systemic Biomarkers and Cognition in Late Middle-Aged Adults at Risk for Alzheimer’s Disease. Front Endocrinol (Lausanne) 2021, 12, 660181, doi: 10.3389/fendo.2021.660181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Kam TI; Park H; Chou SC; Van Vranken JG; Mittenbuhler MJ; Kim H; A M; Choi YR; Biswas D; Wang J; et al. Amelioration of pathologic alpha-synuclein-induced Parkinson’s disease by irisin. Proc Natl Acad Sci U S A 2022, 119, e2204835119, doi: 10.1073/pnas.2204835119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Almeida MF; Silva CM; Chaves RS; Lima NCR; Almeida RS; Melo KP; Demasi M; Fernandes T; Oliveira EM; Netto LES; et al. Effects of mild running on substantia nigra during early neurodegeneration. J Sports Sci 2018, 36, 1363–1370, doi: 10.1080/02640414.2017.1378494. [DOI] [PubMed] [Google Scholar]
- 127.Melo KP; Silva CM; Almeida MF; Chaves RS; Marcourakis T; Cardoso SM; Demasi M; Netto LES; Ferrari MFR Mild Exercise Differently Affects Proteostasis and Oxidative Stress on Motor Areas During Neurodegeneration: A Comparative Study of Three Treadmill Running Protocols. Neurotox Res 2019, 35, 410–420, doi: 10.1007/s12640-018-9966-3. [DOI] [PubMed] [Google Scholar]
- 128.Wang X; Zhu YT; Zhu Y; Sun YL; Huang J; Li Z; Wang Y; Wu JC; Qin ZH; Lin F Long-term running exercise alleviates cognitive dysfunction in APP/PSEN1 transgenic mice via enhancing brain lysosomal function. Acta Pharmacol Sin 2022, 43, 850–861, doi: 10.1038/s41401-021-00720-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Shen K; Liu X; Chen D; Chang J; Zhang Y; Kou X Voluntary wheel-running exercise attenuates brain aging of rats through activating miR-130a-mediated autophagy. Brain Res Bull 2021, 172, 203–211, doi: 10.1016/j.brainresbull.2021.04.027. [DOI] [PubMed] [Google Scholar]
- 130.Andreotti DZ; Silva JDN; Matumoto AM; Orellana AM; de Mello PS; Kawamoto EM Effects of Physical Exercise on Autophagy and Apoptosis in Aged Brain: Human and Animal Studies. Front Nutr 2020, 7, 94, doi: 10.3389/fnut.2020.00094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Jang Y Endurance exercise-induced expression of autophagy-related protein coincides with anabolic expression and neurogenesis in the hippocampus of the mouse brain. Neuroreport 2020, 31, 442–449, doi: 10.1097/WNR.0000000000001431. [DOI] [PubMed] [Google Scholar]
- 132.Codina-Martinez H; Fernandez-Garcia B; Diez-Planelles C; Fernandez AF; Higarza SG; Fernandez-Sanjurjo M; Diez-Robles S; Iglesias-Gutierrez E; Tomas-Zapico C Autophagy is required for performance adaptive response to resistance training and exercise-induced adult neurogenesis. Scand J Med Sci Sports 2020, 30, 238–253, doi: 10.1111/sms.13586. [DOI] [PubMed] [Google Scholar]
- 133.Jian Y; Yuan S; Yang J; Lei Y; Li X; Liu W Aerobic Exercise Alleviates Abnormal Autophagy in Brain Cells of APP/PS1 Mice by Upregulating AdipoR1 Levels. Int J Mol Sci 2022, 23, doi: 10.3390/ijms23179921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Zhang L; Tang W; Chao FL; Zhou CN; Jiang L; Zhang Y; Liang X; Tang J; Qi YQ; Yang H; et al. Four-month treadmill exercise prevents the decline in spatial learning and memory abilities and the loss of spinophilin-immunoreactive puncta in the hippocampus of APP/PS1 transgenic mice. Neurobiol Dis 2020, 136, 104723, doi: 10.1016/j.nbd.2019.104723. [DOI] [PubMed] [Google Scholar]
- 135.Ahlskog JE Aerobic Exercise: Evidence for a Direct Brain Effect to Slow Parkinson Disease Progression. Mayo Clin Proc 2018, 93, 360–372, doi: 10.1016/j.mayocp.2017.12.015. [DOI] [PubMed] [Google Scholar]
- 136.Dauwan M; Begemann MJH; Slot MIE; Lee EHM; Scheltens P; Sommer IEC Physical exercise improves quality of life, depressive symptoms, and cognition across chronic brain disorders: a transdiagnostic systematic review and meta-analysis of randomized controlled trials. J Neurol 2021, 268, 1222–1246, doi: 10.1007/s00415-019-09493-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Lee MS; Yang EJ; Kim JI; Ernst E Ginseng for cognitive function in Alzheimer’s disease: a systematic review. J Alzheimers Dis 2009, 18, 339–344, doi: 10.3233/JAD-2009-1149. [DOI] [PubMed] [Google Scholar]
- 138.Kim HJ; Jung SW; Kim SY; Cho IH; Kim HC; Rhim H; Kim M; Nah SY Panax ginseng as an adjuvant treatment for Alzheimer’s disease. J Ginseng Res 2018, 42, 401–411, doi: 10.1016/j.jgr.2017.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Smith I; Williamson EM; Putnam S; Farrimond J; Whalley BJ Effects and mechanisms of ginseng and ginsenosides on cognition. Nutr Rev 2014, 72, 319–333, doi: 10.1111/nure.12099. [DOI] [PubMed] [Google Scholar]
- 140.Solfrizzi V; Agosti P; Lozupone M; Custodero C; Schilardi A; Valiani V; Sardone R; Dibello V; Di Lena L; Lamanna A; et al. Nutritional intervention as a preventive approach for cognitive-related outcomes in cognitively healthy older adults: A systematic review. J Alzheimers Dis 2018, 64, S229–S254, doi: 10.3233/JAD-179940. [DOI] [PubMed] [Google Scholar]
- 141.Travica N; D’Cunha NM; Naumovski N; Kent K; Mellor DD; Firth J; Georgousopoulou EN; Dean OM; Loughman A; Jacka F; et al. The effect of blueberry interventions on cognitive performance and mood: A systematic review of randomized controlled trials. Brain Behav Immun 2020, 85, 96–105, doi: 10.1016/j.bbi.2019.04.001. [DOI] [PubMed] [Google Scholar]
- 142.Scarmeas N; Stern Y; Tang MX; Mayeux R; Luchsinger JA Mediterranean diet and risk for Alzheimer’s disease. Ann Neurol 2006, 59, 912–921, doi: 10.1002/ana.20854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Trichopoulou A; Vasilopoulou E Mediterranean diet and longevity. Br J Nutr 2000, 84 Suppl 2, S205–209, doi: 10.1079/096582197388554. [DOI] [PubMed] [Google Scholar]
- 144.Willcox BJ; Willcox DC; Todoriki H; Fujiyoshi A; Yano K; He Q; Curb JD; Suzuki M Caloric restriction, the traditional Okinawan diet, and healthy aging: the diet of the world’s longest-lived people and its potential impact on morbidity and life span. Ann N Y Acad Sci 2007, 1114, 434–455, doi: 10.1196/annals.1396.037. [DOI] [PubMed] [Google Scholar]
- 145.Joseph JA; Shukitt-Hale B; Willis LM Grape juice, berries, and walnuts affect brain aging and behavior. J Nutr 2009, 139, 1813S–1817S, doi: 10.3945/jn.109.108266. [DOI] [PubMed] [Google Scholar]
- 146.Spencer JP Flavonoids and brain health: multiple effects underpinned by common mechanisms. Genes Nutr 2009, 4, 243–250, doi: 10.1007/s12263-009-0136-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Stacchiotti A; Corsetti G Natural compounds and autophagy: Allies against neurodegeneration. Front Cell Dev Biol 2020, 8, 555409, doi: 10.3389/fcell.2020.555409. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Shaikh S; Ahmad K; Ahmad SS; Lee EJ; Lim JH; Beg MMA; Verma AK; Choi I Natural products in therapeutic management of multi-neurodegenerative disorders by targeting autophagy. Oxid Med Cell Longev 2021, 2021, 6347792, doi: 10.1155/2021/6347792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Liu S; Li X Regulation of Autophagy in neurodegenerative diseases by natural products. Adv Exp Med Biol 2020, 1207, 725–730, doi: 10.1007/978-981-15-4272-5_54. [DOI] [PubMed] [Google Scholar]
- 150.Butler D; Bahr BA Oxidative stress and lysosomes: CNS-related consequences and implications for lysosomal enhancement strategies and induction of autophagy. Antioxid Redox Signal 2006, 8, 185–196, doi: 10.1089/ars.2006.8.185. [DOI] [PubMed] [Google Scholar]
- 151.Calabrese V; Cornelius C; Dinkova-Kostova AT; Iavicoli I; Di Paola R; Koverech A; Cuzzocrea S; Rizzarelli E; Calabrese EJ Cellular stress responses, hormetic phytochemicals and vitagenes in aging and longevity. Biochim Biophys Acta 2012, 1822, 753–783, doi: 10.1016/j.bbadis.2011.11.002. [DOI] [PubMed] [Google Scholar]
- 152.Calabrese V; Cornelius C; Dinkova-Kostova AT; Calabrese EJ; Mattson MP Cellular stress responses, the hormesis paradigm, and vitagenes: novel targets for therapeutic intervention in neurodegenerative disorders. Antioxid Redox Signal 2010, 13, 1763–811, doi: 10.1089/ars.2009.3074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Qneibi M; Bdir S; Maayeh C; Bdair M; Sandouka D; Basit D; Hallak M A comprehensive review of essential oils and their pharmacological activities in neurological disorders: Exploring neuroprotective potential. Neurochem Res 2023, in press, doi: 10.1007/s11064-023-04032-5. [DOI] [PubMed] [Google Scholar]
- 154.Caba E; Sherman M,D,; Farizatto KLG; Alcira B; Wang H-W; Giardina C; Shin D-G; Sandefur CI; Bahr BA Excitotoxic stimulation activates distinct pathogenic and protective expression signatures in the hippocampus. J Cell Mol Medicine 2021, 25, 9011–9027, doi: 10.1111/jcmm.16864 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Yang C; Wang X Lysosome biogenesis: Regulation and functions: J Cell Biol. 2021, 220, e202102001, doi: 10.1083/jcb.202102001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Li J; Krause GJ; Gui Q; Kaushik S; Rona G; Zhang Q; Liang FX; Dhabaria A; Anerillas C; Martindale JL; et al. A noncanonical function of SKP1 regulates the switch between autophagy and unconventional secretion. Sci Adv 2023, 9, eadh1134, doi: 10.1126/sciadv.adh1134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Lee JH.; Yang DS.; Goulbourne CN.; Im E.; Stavrides P.; Pensalfini A.; Chan H.; Bouchet-Marquis C.; Bleiwas C.; Berg MJ.; Huo C.; et al. Faulty autolysosome acidification in Alzheimer’s disease mouse models induces autophagic build-up of Aβ in neurons, yielding senile plaques. Nat Neurosci 2022, 25, 688–701, doi: 10.1038/s41593-022-01084-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Viswanathan K; Hoover DJ; Hwang J; Wisniewski ML; Ikonne US; Bahr BA; Wright DL Nonpeptidic lysosomal modulators derived from Z-Phe-Ala-diazomethylketone (PADK) for treating protein accumulation diseases. ACS Med Chem Lett 2012, 3, 920–924, doi: 10.1021/ml300197h. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Bhembre N; Bonthron C; Opazo P Synaptic compensatory plasticity in Alzheimer’s disease. J Neurosci 2023, 43, 6833–6840, doi: 10.1523/JNEUROSCI.0379-23.2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
