Skip to main content

REVIEW article

Front. Neurosci., 09 June 2022
Sec. Neuropharmacology
This article is part of the Research Topic Neurodegeneration, Cell signaling and Neuroreparative Strategies View all 11 articles

Cell Non-autonomous Proteostasis Regulation in Aging and Disease

  • Proteostasis and Intercellular Communication Lab, Chronic Diseases Research Centre (CEDOC), NOVA Medical School, Faculdade de Ciencias Medicas, Universidade NOVA de Lisboa, Lisbon, Portugal

Aging is a risk factor for a number of diseases, being the more notorious ones perhaps neurodegenerative diseases such as Alzheimer’s and Parkinson’s. These and other age-related pathologies are often associated with accumulation of proteotoxic material inside cells, as well as with the accumulation of protein deposits extracellularly. It is widely accepted that this accumulation of toxic proteins trails a progressive decline in the mechanisms that regulate protein homeostasis, or proteostasis, during aging. However, despite significant efforts, the progress in terms of novel or improved therapies targeting accumulation of proteotoxic material has been rather limited. For example, clinical trials for new drugs aimed at treating Alzheimer’s disease, by preventing accumulation of toxic proteins, have notoriously failed. On the other hand, it is becoming increasingly apparent that regulation of proteostasis is not a cell autonomous process. In fact, cells rely on complex transcellular networks to maintain tissue and organ homeostasis involving endocrine and paracrine signaling pathways. In this review we will discuss the impact of cell non-autonomous proteostasis mechanisms and their impact in aging and disease. We will focus on how transcellular proteostasis networks can shed new light into stablished paradigms about the aging of organisms.

Introduction

Preserving the Proteome

By continuous accumulation of random DNA mutations, selection by survival and reproduction rate, organisms evolved by piecemeal modification of their proteins. In time, proteins increased in variety and complexity, allowing for more intricate enzymatic processes and ever more sophisticated protein assemblies. However, as an extraordinary diverse collection of proteins emerged, organisms struggled to preserve proteome functionality, as higher complexity often compromises structural integrity of proteins. We now know that organisms, from bacteria and archaea to mammals, have developed intricate mechanisms that assist in protein maintenance and quality control, by tightly controlling protein synthesis, supporting the folding of individual proteins and assembly of protein complexes, as well as disposing of damaged or otherwise unwanted ones. This includes, for example, the ribosome-associated quality control factors during synthesis, the aid in folding and support in conformation offered by molecular chaperones or the proteolytic mechanisms that eliminate those proteins rendered obsolete (Balch et al., 2008; Powers et al., 2009; Labbadia and Morimoto, 2015b; Balchin et al., 2016; Deuerling et al., 2019; Jayaraj et al., 2020; Morimoto, 2020; Rebeaud et al., 2021). These and other mechanisms involved in governing protein homeostasis, or proteostasis, comprise an extensive network or around 2000 proteins in humans (Klaips et al., 2018; Hipp et al., 2019). Thus, at the cellular level, a network of proteostasis mechanism is in place to minimize error and maximize efficiency. A malfunction of these mechanisms is extremely detrimental to cellular health and proteostasis loss is often associated with aging and disease.

However, the damage associated to proteostasis breakdown is hardly confined to a group of cells or tissue in an organism. While approaches to the contribution of proteostasis to disease have mostly assumed that regulation of proteostasis networks in living organisms is a cell autonomous process, an overwhelming amount of evidences, gathered over the years, show that organisms organize a proteostasis response a in an integrated, cell non-autonomous level, as well (Taylor et al., 2014; Desdin-Mico and Mittelbrunn, 2017; Takeuchi, 2018; Miles et al., 2019; Miller et al., 2020; Morimoto, 2020). This response involves communication between different cell types, tissues and organs. The advantages of a transcellular proteostasis regulation appear to be manifold. For example, sensorial tissues detect environmental changes that boost proteostasis in sensitive or essential cells for the organism to survive in new and challenging conditions. On the other hand, stress induced proteostasis activation in one tissue can stimulate proteostasis mechanisms in distant tissues, in preparation for stresses to come. Additionally, proteostasis machinery components can be spared from more proteostasis competent cells and delivered to less resilient ones, while cells with failing proteostasis networks can transfer unwanted proteins to neighboring cells and be relieved from the burden (Taylor et al., 2014; Desdin-Mico and Mittelbrunn, 2017; Takeuchi, 2018; Miles et al., 2019; Miller et al., 2020; Morimoto, 2020).

Protein Synthesis and the Origin of Protein Misfolding

Most proteins need to reach a defined tridimensional structure, or folding conformation, to attain biological function (Hipp et al., 2019). However, the folding kinetics of proteins is constantly being challenged (Morimoto, 2020). While generally the folded (or native) state is thermodynamically favored, often proteins endure challenges that promote additional kinetically stable non-native states (Hipp et al., 2019). Right from the start, biosynthetic errors, which are inherent to protein synthesis, can obstruct protein folding and promote loss of function or toxic gain of function (Morimoto, 2020). Even when successfully translated, specific regions within proteins can be thermodynamically unstable and inherently hard to maintain in the appropriate folding conformation, without assistance from molecular chaperones to maintain conformational stability (Demarest et al., 2002; Dunker et al., 2008; Uversky et al., 2008; Hipp et al., 2019). However, harsh environmental conditions and stresses such as high temperatures and oxidation, as well as additional forms of post-translational modification, are the major drivers for defective folding kinetics. Additionally, a crowded intracellular space promotes non-native interactions and facilitates protein unfolding (Ellis and Minton, 2006; Morimoto, 2020). In humans, cells contain more than 10.000 different proteins with ranging conformational stabilities (Kulak et al., 2017). Moreover, some proteins can reach millions of copies per cell (Ghaemmaghami et al., 2003). Also, individuals within a population contain single-nucleotide variations that may further hinder the folding kinetics of proteins (Lek et al., 2016). Overall, all these different contexts are likely to result in large amounts of metastable polypeptides, with tendency to misfold and create toxic oligomers and aggregates. Therefore, protein conformation and abundance must be strictly controlled, to ensure proper cellular signaling, maintain metabolic flow and the correct assembly of molecular machinery responsible for complex cellular functions such as DNA replication, oxidative phosphorylation and protein synthesis itself.

Proteome Preservation by Molecular Chaperones

During evolution, as proteins increased in complexity to execute new or more intricate tasks, polypeptide folding efficiency dropped. In fact, the folded conformation of proteins is generally very perilous such that a substantial number of copies of a given protein can exist in partially unfolded states (Hipp et al., 2019). To hold proteome stability and maintain proteins functionally active, molecular chaperones emerged, a family of highly conserved proteins that act by directly interacting with the unstructured polypeptides backbones of proteins in non-native conformations (Hartl, 1996; Rebeaud et al., 2021). The emergence of molecular chaperones supported the structural evolution of proteins into more complex molecules, capable of executing new or improved biological functions. Molecular chaperones can be subdivided into different sub-families (Hartl et al., 2011; Kim Y. E. et al., 2013; Balchin et al., 2016; Carra et al., 2017; Lee et al., 2018). By the direct interaction with client proteins and the hydrolysis of ATP, molecular chaperones improve the folding kinetics of de novo synthesized proteins, prevent unfolding and counteract oligomerization/aggregation of polypeptides in non-native conformations.

When under stress, cells can boost the expression of chaperones through specific transcriptions factors such as Heat Shock Factor 1 (HSF1). In steady state, an abundance of inactive chaperones bind to HSF1 to block its activity. Under stress, a surge in chaperone demand titrates chaperones away from HSF1, releasing the transcription factor to command the synthesis of new molecular chaperones (Zou et al., 1998; Anckar and Sistonen, 2011; Zheng et al., 2016; Gomez-Pastor et al., 2018).

Moreover, chaperones are also important in deciding if a client protein has exhausted its time for folding and should be degraded, by coupling molecular chaperones with the ubiquitin-proteasome and autophagy/lysosomal pathways through the ubiquitin ligase CHIP, that binds molecular chaperones and adds ubiquitin chains to client proteins, triggering their degradation (Marques et al., 2006; Ferreira et al., 2013, 2015; Elia et al., 2019; Moran Luengo et al., 2019; Finley and Prado, 2020).

Elimination of Misfolded Proteins

Elimination of proteins is essential for proteome stability in two major ways, one by adjusting the levels of proteins so they are kept in soluble concentrations (Ciryam et al., 2013, 2015), and a second one by avoiding accumulation of faulty or obsolete proteins (Hipp et al., 2019). Proteins can be degraded by the ubiquitin-proteasome pathway (UPS), whereby proteins tagged with a polyubiquitin chain, conjugated by covalently attaching single ubiquitin moieties by the lysine at position 48, are recognized by the 26S proteasome for degradation (Ciechanover, 1994). Additionally, proteins can be degraded by the autophagic-lysosomal pathway (ALP), a collection of mechanisms that allows for the degradation of individual proteins as well as protein complexes, organelles and even protein aggregates (Ferreira et al., 2013, 2015; Finkbeiner, 2020). Both UPS and ALP directly or indirectly need ATP and use molecular chaperones both to detect unwanted protein species and unfold proteins prior to degradation. Over the years evidences have shown that, in many instances, ALP also uses ubiquitination as a signal for degradation (Kirkin et al., 2009; Ferreira et al., 2013, 2015; Finkbeiner, 2020). While lysine 48 conjugated ubiquitin chains are a signal for proteasomal degradation, lysine 63 and other ubiquitin chains may be a signal for ALP degradation.

Aging and Proteostasis Decline

Deregulation of the mechanisms governing proteostasis leads to protein malfunction and the formation of toxic protein oligomers and aggregates. There is a strong correlation between proteostasis decline and aging, such that is a feature of many age-related diseases such as Alzheimer’s Disease, Parkinson’s Disease, Age-related Macular Degeneration, Amyotrophic Lateral Sclerosis, and others (Morimoto, 2020). Thus, maintaining proteostasis is essential for organismal health. However, a genetically encoded aging component is evident in C. elegans where a sharp change in protein abundance and increase in protein aggregation is clear upon reaching the reproductive age (Walther et al., 2015). Moreover, maintaining proteostasis is energetically costly as well. Both molecular chaperones activity and proteolysis consume ATP. The high energetic cost is consistent with the “disposable soma” theory, whereby organisms might often trade longevity for reproduction, likely by decreasing proteostasis robustness to save energy in favor of progeny generation (Hsin and Kenyon, 1999; Ben-Zvi et al., 2009; Shemesh et al., 2013; Labbadia and Morimoto, 2015a). Additional evidences nonetheless suggest that while there are trade-offs between the soma and the germline, they are not purely based on energy availability (Sala and Morimoto, 2022), as we will discuss later.

In parallel to programmed proteostasis decline, protein aggregation by itself can cause the misfolding of additional proteins in its vicinity, a compound effect exacerbated by post-translation modifications triggered by environmental stress that slowly overburdens proteostasis mechanisms and leads to proteostasis loss (Morimoto, 2020). The combination of programmed decline of proteostasis and environmental stress creates the aging phenotype. The collapse of the proteostasis networks will lead to the accumulation of misfolded, damaged and obsolete proteins, some of which will end up oligomerizing and even aggregating. This phenotype is particularly damaging to post-mitotic cells that cannot use asymmetric cell division to dilute and distribute protein toxicity.

In C. elegans, the onset of proteostasis mechanisms failure happens early in life (Ben-Zvi et al., 2009). Chronic expression of misfolded proteins in age-onset neurodegenerative disease leads to accumulation of misfolded species and aggregates that overwhelm proteostasis as a basis of cellular dysfunction (Gidalevitz et al., 2006; Douglas and Dillin, 2010). However, the expression of different aggregation-prone proteins, such as amyloid β or polyQ35 leads to a similar, but not identical, chaperone network activation (Brehme et al., 2014). Surprisingly, chaperone induction upon the expression of aggregative proteins can have opposite effects. For example, torsins 1 and 2 mitigate the toxicity of HD-associated polyQ stretches and the ALS-causing mutated superoxide dismutase 1 (SOD-1), but exacerbate the proteotoxicity of A-beta (Boocholez et al., 2022). This apparent heterogenicity in proteome protection mechanisms reflects the intricacy of age-related diseases and highlights the complexity of developing putative therapeutic approaches.

Cell Non-autonomous Coordination of Proteostasis

A focus on the study of proteostasis at the cellular level has led to models of proteostasis regulation that skew to cell autonomy. However, in recent years, mounting evidences also indicate that there are mechanisms in place to support a systemic, intercellular and inter tissue, cell non-autonomous variety of networked proteostasis. On one side, pathways regulating systemic proteostasis may control organismal adaptation to stress, by modulating or boosting proteostasis networks in a more even and synchronized manner. On the other, these mechanisms may negatively impact proteostasis by coordinating aging progression and disseminating disease into other cells, tissues and organs. Understanding these mechanisms of systemic proteostasis may offer new and improved ways of boosting proteostasis to mitigate the effects of aging, including the possibility of refining organismal proteostasis by targeting only a small number of cells.

Systemic Activation of Heat Shock Response

The heat shock response (HSR) is primarily modulated by HSF1, from the heat shock factor (HSF) transcription factor family. HSFs react to increases in temperature, as well as other stresses that can negatively impact protein folding, to recover proteostasis by increasing the amount of available molecular chaperones (Akerfelt et al., 2010).

In a living organism, protection from heat shock also involves changes in behavior, such as moving away from high temperatures. In C. elegans, studies in thermolocomotion showed that increasing temperatures activate a pair of amphid finger (AFD) neurons and their postsynaptic amphid Y (AIY) interneurons. In turn, AIY interneurons signal to motor neurons in the muscle wall to promote the movement of organisms away from restrictive temperatures. Surprisingly, inhibition of AFD signaling prevents the HSF-mediated induction of Heat Shock Protein 70 (HSP70) in various non-neuronal tissues of the worm’s body following heat shock, in a process shown to be mediated by serotonin. Additionally, activation of AFD neurons by optogenetics is sufficient to activate HSF1, increase the expression of HSP70 in the whole organism and suppress protein aggregation in muscle tissue (Mori and Ohshima, 1995; Hobert et al., 1997; Inada et al., 2006; Prahlad et al., 2008; Ramot et al., 2008; Prahlad and Morimoto, 2011; Sugi et al., 2011; Tatum et al., 2015).

On the other hand, however, even in the absence of AFD neurons, worms can still activate HSF-1 upon exposure to different stressors, such as the heavy metal cadmium (Prahlad et al., 2008), while AFD incompetent worms were still able to activate the expression of molecular chaperones upon tissue specific expression of polyQ aggregates (Prahlad and Morimoto, 2011). In fact, animals with WT thermosensory neurons express basal levels of chaperones despite the chronic accumulation of misfolded proteins, while retaining their ability to respond to acute heat stress (Prahlad and Morimoto, 2011; Maman et al., 2013). On the other hand mutations in thermosensory neuronal signaling inverts this response, such that chaperone induction in AFD incompetent animals now occurs when misfolded proteins are chronically expressed, but is dampened in response to acute heat stress (Prahlad and Morimoto, 2011; Maman et al., 2013). Therefore, thermosensory neurons are likely to act as neuronal switches for the control of chaperone expression in C. elegans, allowing tissues within the organism to maintain optimal levels of chaperones for normal function and yet respond to transient exposures to environmental stress by up-regulating chaperones (Prahlad and Morimoto, 2011; Maman et al., 2013). However, these evidences also highlight that the ability to respond to heat comes at the expense of proteostasis (Prahlad and Morimoto, 2011; Maman et al., 2013). In addition, these observations suggest that systemic proteostasis regulation in C. elegans might depend on the particular stress context. Whether this means that different stressors activate different neurons to mediate a proteostasis response, or rather that some stressors preferentially activate cell autonomous mechanisms while others activate cell non-autonomous ones is still a matter of debate.

This might be explained by the fact that additional neurons and neurotransmitters might be implicated in HSR regulation. For example, chemosensory neurons expressing the GPCR thermal receptor 1 (gtr-1) are also involved in systemic HSR activation, as well as inhibiting resistance to stress associated with expression of misfolded proteins (Hobert and Ruvkun, 1998; Beverly et al., 2011; Maman et al., 2013). On the other hand, at the neuromuscular junction, GABA and cholinergic signaling from stimulatory motor neurons can decrease aggregation of polyQ repeats in muscle cells, while the signaling from inhibitory motor neurons acts opposingly to increase polyQ repeats aggregation (Garcia et al., 2007).

Additionally, germline ablation, both in C. elegans and drosophila prevents proteostasis collapse in the whole body. This happens because the germline signals to somatic tissues to repress proteome protection, mainly associated to HSF1 inability to bind chaperone promotor regions in the DNA (Flatt et al., 2008; Labbadia and Morimoto, 2015a). However, additional evidences indicate that the impact of reproduction on longevity might be more complex than anticipated (Sala and Morimoto, 2022). For example, the targeted ablation of germ cells leads to lifespan extension, while the abolishment of both germ and somatic gonad cells at the same time fails to do so (Hsin and Kenyon, 1999). In fact, germline ablation acts by activating the longevity gene DAF-19/FOXO in the intestine, through lipophilic hormone signaling (Berman and Kenyon, 2006). In addition, post-translational modifications such as SUMOylation appear to be involved in germline regulation of lifespan (Moll et al., 2018). As far as in vertebrates, a study in zebrafish recently showed that sterile males are more resistant to stress (Chen et al., 2020). Overall, data suggests that there are trade-offs between germline and somatic proteostasis maintenance, even if specific signaling events, rather than solely energetic trade-offs, appear to modulate the longevity of somatic tissues regulated by the germline. In addition, systemic proteostasis regulation appears to involve mechanism of proteome protection as well as, in specific situations, mechanisms of proteostasis depression.

Systemic Activation of the Endoplasmic Reticulum Unfolded Protein Response

Cell non-autonomous control of proteostasis extends to the UPRER. During protein synthesis, proteome surveillance is mainly sustained by the unfolded protein response of the endoplasmic reticulum (UPRER). When protein misfolding surpasses a certain threshold, excess misfolded proteins displace the UPRER inhibitory chaperone BiP and bind directly to specific membrane receptors: the activating transcription factor 6, the inositol-requiring protein 1, and protein kinase RNA-like ER kinase, leading to the activation of three separate signaling pathways. These conserved pathways have a compound effect that potentiates protein folding such as augmenting ER cisternal space to reduce protein overcrowding, promoting degradation of unwanted proteins, reducing translation and increasing the expression of proteins with the ability to promote and assist protein folding, referred as molecular chaperones (Ron and Walter, 2007; Taylor et al., 2014). However, deletirious mutations of the octamine receptor 1 from C. elegans neurons induce increased expression of UPRER canonical genes, IRE-1 and X-box Binding Protein 1 (XBP-1), in the whole body (Sun et al., 2012). On the other hand, XBP-1 overexpression in neurons triggers ER chaperone BiP activation both in neurons and the intestine, counteracting the age-related decline of the UPRER and promoting longevity (Taylor and Dillin, 2013). Intriguingly, a change in lipid metabolism and an increase in oleic acid is needed to activate systemic UPRER when expressing XBP-1 in neurons (Imanikia et al., 2019). In addition, inhibition of neuropeptide secretion by glial cells expressing XBP-1 inhibits UPRER activation in distant tissues as well (Frakes et al., 2020). In fact, neuropeptides seem to regulate systemic proteostasis in neurons (Boocholez et al., 2022).

Interestingly, induction of the UPRER in non-neuronal tissues is activated in C. elegans after pathogen infection, in a mechanism mediated by sensory neurons. In mice, XBP-1 expression in pro-opio-melanocortin neurons activates XBP1 in the liver, resulting in an improved liver function (Williams et al., 2014). In tumor cell lines, UPRER activation under stress leads to upregulation of UPRER and production of pro-inflammatory cytokines in macrophages, whereas conditioned media from tumor cells induces UPRER in dendritic cells, leading to a suppressive phenotype that impairs T cell proliferation and facilitates tumor growth (Mahadevan et al., 2012). The systemic activation of UPRER strongly emphasizes the importance of maintaining efficiency of proteins synthesis in a synchronized and cell-non-autonomous fashion in the whole body.

Systemic Activation of the Unfolded Protein Response of the Mitochondria

Maintaining healthy mitochondria is vital for cell fitness. They are fundamental for energy production, primarily through oxidative phosphorylation. However, the mitochondria electron transport chain is not 100% efficient and leaks electrons that are unable to fully reduce oxygen to form water at cytochrome c oxidase, leading to only partial reduction of oxygen to form the anion superoxide. Thus, mitochondria activity is a major source of reactive oxygen species (ROS). ROS damages proteins and promotes protein misfolding. Accumulation of protein damage impairs mitochondrial activity and overloads to mitochondrial chaperone machinery, to which mitochondria respond by degrading damaged proteins using the mitochondria protease caseinolytic peptidase P (CLPP; Pellegrino et al., 2013). Subsequently, the cleaved peptide products from CLPP action are exported to the cytosol by half transporter 1, that is present at the mitochondrial membrane. Peptide export from mitochondria acts upon the activating transcription factor associated with stress 1, to trigger expression of Unfolded Protein Response of the Mitochondria (UPRmito) related chaperones (Haynes et al., 2010).

While there are many ways in which the mitochondria ROS can increase C. elegans lifespan, including by activating either the hypoxia inducible transcription factor 1 alpha (Lee et al., 2010) or the transcription factor daf-16/FOXO (Senchuk et al., 2018), as well as by lowering ATP production to induce “slow aging” (Yee et al., 2014), lifespan can be extended in a systemic fashion, through cell-non-autonomous regulation of UPRmito. Depletion from neurons of the cco-1 protein, a component of the mitochondria electron transport chain, is sufficient to activate UPRmito in the gut, as well as increased lifespan (Durieux et al., 2011). Depletion of cco-1 in the whole organism leads to the same increase in the lifespan in the worm (Durieux et al., 2011). Interestingly, depletion of cco-1 from body wall cells has the opposite effect, reducing lifespan (Durieux et al., 2011). This observation indicates that similar stresses applied to different areas of the body do not wield the same proteome protective measures, and that efficiency of systemic proteostasis activation might depend on both the type of stress and the tissue that is most affected by stress.

On the other hand, expression of Huntington causing protein in polyQ 40-repeat protein in neurons activates the expression of mitochondrial HSP70 (mtHSP70) in the gut of C. elegans, in a process mediated by serotonin (Berendzen et al., 2016). Other groups found additional factors that mediate systemic UPRmito activation in C. elegans, such as Wnt signaling and neuropeptide FLP-2 (Shao et al., 2016; Zhang et al., 2018).

In mammals, fibroblast growth factor 21 is responsible for signaling to peripheral tissues upon mitochondrial damage in muscle cells, leading to resistance to obesity and improved insulin sensitivity, which might indicate a systemic activation of UPRmito (Kim K. H. et al., 2013).

Transcellular Chaperone Signaling

Other forms of cell non-autonomous proteostasis regulation involve molecular chaperone signaling that is unrelated to HSF-1 activation. For example, in C. elegans specific over-expression of HSP90 in the gut or in neurons protects against misfolding of myosin and amyloid β aggregation in the muscles of the body wall. In neurons, for example, this happens because HSP90 overexpression leads to PQM-1 activation (zinc finger transcription factor) and subsequent HSP90 upregulation in distant tissues by glutamatergic signaling (Taylor and Dillin, 2013; van Oosten-Hawle et al., 2013; O’Brien et al., 2018).

A second form of transcellular chaperone signaling is the direct secretion of molecular chaperones by cells. Initial evidence in mice showed that overexpression of HSP40 in one brain region of polyQ diseased animals lead to the elimination of inclusion bodies in other parts of the brain (Popiel et al., 2012). In drosophila, expression of HSP70 and HSP40 in muscles and fat cells prevented eye degeneration caused by polyQ proteins (Warrick et al., 1999; Kazemi-Esfarjani and Benzer, 2000). These initial observations eventually lead to the discovery that molecular chaperones are secreted to the extracellular space, encased inside a subtype of extracellular vesicles called exosomes (Takeuchi et al., 2015). Exosomes are small extracellular vesicles that are present in virtually all biological fluids and circulate in the blood stream. However, not all chaperones are secreted via this non-canonical secretory pathway, only cytosolic ones. Exosomes loaded with cytosolic chaperones are able to get endocytosed by other cells and suppress aggregate formation by polyQ proteins. In drosophila, inhibition of exosome secretion from muscle and fat cells expressing HSP70 and HSP40 suppressed eye regeneration (Takeuchi et al., 2015).

The molecular basis for the loading and secretion of chaperones via exosomes is still unclear. However, reports show that depletion of HSC70 from cells decreases HSP40 presence in exosomes (Kampinga and Craig, 2010). Additionally, a recent paper demonstrates that HSC70, and potentially other chaperones that directly interact with HSC70 (such as HSP40, HSP90, and others), are loaded into nascent exosomes by a mechanism dependent on the endo-lysosomal transmembrane receptor LAMP2A (Ferreira et al., 2022). These observations indicate that there is a conserved molecular mechanism for the loading and transfer of molecular chaperones via exosomes, with the potential to boost proteostasis in a cell non-autonomous way.

Transcellular Transfer of Proteotoxic Material

The secretion of misfolded, oligomerized, and/or aggregated material to the extracellular space by vesicles, particularly by exosomes, has been proposed as a new major pathway for the disposal of unwanted proteins. Overburden cells with falling proteostasis capabilities would secrete unwanted and toxic protein material encased inside exosomes. Exosomes originate from multivesicular endosomal compartments and are therefore at the crossroads between protein degradation by the lysosome and vesicle secretion. Analysis of the protein cargo of exosomes supports this hypothesis. Misfolded and prion proteins (PrP) are released in exosomes (Guo et al., 2015), particularly the ones implicated in neurodegenerative diseases such as Huntington’s, Alzheimer’s and Parkinson’s disease, including amyloid β, APP C-terminal fragments, Tau, α-synuclein, SOD1, and the PrP (Fevrier et al., 2004; Rajendran et al., 2006; Perez-Gonzalez et al., 2012; Saman et al., 2012; Grad et al., 2014). Additionally, oligomerized proteins have been shown to be secreted by exosomes upon ubiquitin ligase CHIP inactivation (Ferreira et al., 2019). While the initial effect of the secretion of these proteins might be beneficial, particularly for post-mitotic cells such as neurons and the retina pigmented epithelium, in some instances and over time, such mechanisms could do more harm than good, participating in the spreading of disease rather than in the dilution of the proteotoxic burden.

The mechanisms that regulate the loading of proteotoxic material into nascent exosomes are still a matter of debate. One way this could happen is through the trapping of misfolded proteins bound to the molecular chaperone HSC70, that is included in exosomes, either through the interaction with LAMP2A or by attaching to lipids, in the endosomal limiting membrane, where exosomes are formed (Sahu et al., 2011; Ferreira et al., 2022).

Concluding Remarks

While there is still much to be discovered regarding cell non-autonomous proteostasis, there are definitely an overwhelming amount of evidences showing that organisms can build up from cellular based proteostasis mechanisms to a fully integrated and systemic proteostasis network, encompassing the whole body. These transcellular coordinated responses involve endocrine and paracrine intercellular and intertissue communication, either through signaling molecules or by the material exchange of proteostasis machinery and proteotoxic peptides via extracellular vesicles (Figure 1). Intriguingly, integrated proteostasis networks can function as synchronized proteome protector mechanisms and, opposingly, coordinate proteostasis decline, such as in the example of the germline signaling to inhibit HSF1 activity. These evidences highlight the complexity and intricacy of organismal proteostasis and how important the study of cell non-autonomous proteostasis is. Therefore, we do believe that future research aimed at mitigating the effects of aging should focus on the systemic aspects of proteostasis to generate new options for innovative and more targeted therapeutic strategies.

FIGURE 1
www.frontiersin.org

Figure 1. A schematic representation of some aspects of cell non-autonomous proteostasis. Expression of HSF-1, XBP-1, and other components of the proteostasis machinery is induced (green circuits) or repressed (red circuits) in one tissue or organ by endocrine signaling originating from distant cells. In addition, cells and tissues can transfer proteostasis machinery or dispose of proteotoxic material using extracellular vesicles.

Author Contributions

JF conceptualized and wrote and proofread the manuscript. AR and PP conceptualized and proofread the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the “Programa Operacional Regional de Lisboa-FEDER/ Project 02/SAICT/2020/072552,” and iNOVA4Health – UIDB/04462/2020 and UIDP/04462/2020, and by the Associated Laboratory LS4FUTURE (LA/P/0087/2020), two programs financially supported by Fundação para a Ciência e Tecnologia / Ministério da Ciência, Tecnologia e Ensino Superior.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Akerfelt, M., Morimoto, R. I., and Sistonen, L. (2010). Heat shock factors: integrators of cell stress, development and lifespan. Nat. Rev. Mol. Cell Biol. 11, 545–555. doi: 10.1038/nrm2938

PubMed Abstract | CrossRef Full Text | Google Scholar

Anckar, J., and Sistonen, L. (2011). Regulation of HSF1 function in the heat stress response: implications in aging and disease. Annu. Rev. Biochem. 80, 1089–1115. doi: 10.1146/annurev-biochem-060809-095203

PubMed Abstract | CrossRef Full Text | Google Scholar

Balch, W. E., Morimoto, R. I., Dillin, A., and Kelly, J. W. (2008). Adapting proteostasis for disease intervention. Science 319, 916–919.

Google Scholar

Balchin, D., Hayer-Hartl, M., and Hartl, F. U. (2016). In vivo aspects of protein folding and quality control. Science 353:aac4354. doi: 10.1126/science.aac4354

PubMed Abstract | CrossRef Full Text | Google Scholar

Ben-Zvi, A., Miller, E. A., and Morimoto, R. I. (2009). Collapse of proteostasis represents an early molecular event in Caenorhabditis elegans aging. Proc. Natl. Acad. Sci. U S A. 106, 14914–14919. doi: 10.1073/pnas.0902882106

PubMed Abstract | CrossRef Full Text | Google Scholar

Berendzen, K. M., Durieux, J., Shao, L. W., Tian, Y., Kim, H. E., Wolff, S., et al. (2016). Neuroendocrine coordination of mitochondrial stress signaling and proteostasis. Cell 166, 1553–63e10. doi: 10.1016/j.cell.2016.08.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Berman, J. R., and Kenyon, C. (2006). Germ-cell loss extends C. elegans life span through regulation of DAF-16 by kri-1 and lipophilic-hormone signaling. Cell 124, 1055–1068. doi: 10.1016/j.cell.2006.01.039

PubMed Abstract | CrossRef Full Text | Google Scholar

Beverly, M., Anbil, S., and Sengupta, P. (2011). Degeneracy and neuromodulation among thermosensory neurons contribute to robust thermosensory behaviors in Caenorhabditis elegans. J. Neurosci. 31, 11718–11727. doi: 10.1523/JNEUROSCI.1098-11.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Boocholez, H., Marques, F. C., Levine, A., Roitenberg, N., Siddiqui, A. A., Zhu, H., et al. (2022). Neuropeptide signaling and SKN-1 orchestrate differential responses of the proteostasis network to dissimilar proteotoxic insults. Cell Rep. 38:110350. doi: 10.1016/j.celrep.2022.110350

PubMed Abstract | CrossRef Full Text | Google Scholar

Brehme, M., Voisine, C., Rolland, T., Wachi, S., Soper, J. H., Zhu, Y., et al. (2014). A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease. Cell Rep. 9, 1135–1150. doi: 10.1016/j.celrep.2014.09.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Carra, S., Alberti, S., Arrigo, P. A., Benesch, J. L., Benjamin, I. J., Boelens, W., et al. (2017). The growing world of small heat shock proteins: from structure to functions. Cell Stress Chaperones 22, 601–611. doi: 10.1007/s12192-017-0787-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, H. Y., Jolly, C., Bublys, K., Marcu, D., and Immler, S. (2020). Trade-off between somatic and germline repair in a vertebrate supports the expensive germ line hypothesis. Proc. Natl. Acad. Sci. U S A. 117, 8973–8979. doi: 10.1073/pnas.1918205117

PubMed Abstract | CrossRef Full Text | Google Scholar

Ciechanover, A. (1994). The ubiquitin-proteasome proteolytic pathway. Cell 79, 13–21.

Google Scholar

Ciryam, P., Kundra, R., Morimoto, R. I., Dobson, C. M., and Vendruscolo, M. (2015). Supersaturation is a major driving force for protein aggregation in neurodegenerative diseases. Trends Pharmacol. Sci. 36, 72–77. doi: 10.1016/j.tips.2014.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Ciryam, P., Tartaglia, G. G., Morimoto, R. I., Dobson, C. M., and Vendruscolo, M. (2013). Widespread aggregation and neurodegenerative diseases are associated with supersaturated proteins. Cell Rep. 5, 781–790. doi: 10.1016/j.celrep.2013.09.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Demarest, S. J., Martinez-Yamout, M., Chung, J., Chen, H., Xu, W., Dyson, H. J., et al. (2002). Mutual synergistic folding in recruitment of CBP/p300 by p160 nuclear receptor coactivators. Nature 415, 549–553. doi: 10.1038/415549a

PubMed Abstract | CrossRef Full Text | Google Scholar

Desdin-Mico, G., and Mittelbrunn, M. (2017). Role of exosomes in the protection of cellular homeostasis. Cell Adh. Migr. 11, 127–134. doi: 10.1080/19336918.2016.1251000

PubMed Abstract | CrossRef Full Text | Google Scholar

Deuerling, E., Gamerdinger, M., and Kreft, S. G. (2019). Chaperone interactions at the ribosome. Cold Spring Harb. Perspect. Biol. 11:a033977. doi: 10.1101/cshperspect.a033977

PubMed Abstract | CrossRef Full Text | Google Scholar

Douglas, P. M., and Dillin, A. (2010). Protein homeostasis and aging in neurodegeneration. J. Cell Biol. 190, 719–729.

Google Scholar

Dunker, A. K., Silman, I., Uversky, V. N., and Sussman, J. L. (2008). Function and structure of inherently disordered proteins. Curr. Opin. Struct. Biol. 18, 756–764. doi: 10.1016/j.sbi.2008.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Durieux, J., Wolff, S., and Dillin, A. (2011). The cell-non-autonomous nature of electron transport chain-mediated longevity. Cell 144, 79–91. doi: 10.1016/j.cell.2010.12.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Elia, L. P., Mason, A. R., Alijagic, A., and Finkbeiner, S. (2019). Genetic regulation of neuronal progranulin reveals a critical role for the autophagy-lysosome pathway. J. Neurosci. 39, 3332–3344. doi: 10.1523/JNEUROSCI.3498-17.2019

PubMed Abstract | CrossRef Full Text | Google Scholar

Ellis, R. J., and Minton, A. P. (2006). Protein aggregation in crowded environments. Biol. Chem. 387, 485–497.

Google Scholar

Ferreira, J. V., da Rosa Soares, A., Ramalho, J., Maximo Carvalho, C., Cardoso, M. H., Pintado, P., et al. (2022). LAMP2A regulates the loading of proteins into exosomes. Sci. Adv. 8:eabm1140. doi: 10.1126/sciadv.abm1140

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferreira, J. V., Fofo, H., Bejarano, E., Bento, C. F., Ramalho, J. S., Girao, H., et al. (2013). STUB1/CHIP is required for HIF1A degradation by chaperone-mediated autophagy. Autophagy 9, 1349–1366. doi: 10.4161/auto.25190

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferreira, J. V., Rosa Soares, A., Ramalho, J. S., Ribeiro-Rodrigues, T., Maximo, C., Zuzarte, M., et al. (2019). Exosomes and STUB1/CHIP cooperate to maintain intracellular proteostasis. PLoS One 14:e0223790. doi: 10.1371/journal.pone.0223790

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferreira, J. V., Soares, A. R., Ramalho, J. S., Pereira, P., and Girao, H. (2015). K63 linked ubiquitin chain formation is a signal for HIF1A degradation by Chaperone-Mediated Autophagy. Sci. Rep. 5:10210. doi: 10.1038/srep10210

PubMed Abstract | CrossRef Full Text | Google Scholar

Fevrier, B., Vilette, D., Archer, F., Loew, D., Faigle, W., Vidal, M., et al. (2004). Cells release prions in association with exosomes. Proc. Natl. Acad. Sci. U S A. 101, 9683–9688. doi: 10.1073/pnas.0308413101

PubMed Abstract | CrossRef Full Text | Google Scholar

Finkbeiner, S. (2020). The autophagy lysosomal pathway and neurodegeneration. Cold Spring Harb. Perspect. Biol. 12:a033993.

Google Scholar

Finley, D., and Prado, M. A. (2020). The proteasome and its network: engineering for adaptability. Cold Spring Harb. Perspect. Biol. 12:a033985. doi: 10.1101/cshperspect.a033985

PubMed Abstract | CrossRef Full Text | Google Scholar

Flatt, T., Min, K. J., D’Alterio, C., Villa-Cuesta, E., Cumbers, J., Lehmann, R., et al. (2008). Drosophila germ-line modulation of insulin signaling and lifespan. Proc. Natl. Acad. Sci. U S A. 105, 6368–6373. doi: 10.1073/pnas.0709128105

PubMed Abstract | CrossRef Full Text | Google Scholar

Frakes, A. E., Metcalf, M. G., Tronnes, S. U., Bar-Ziv, R., Durieux, J., Gildea, H. K., et al. (2020). Four glial cells regulate ER stress resistance and longevity via neuropeptide signaling in C. elegans. Science 367, 436–440. doi: 10.1126/science.aaz6896

PubMed Abstract | CrossRef Full Text | Google Scholar

Garcia, S. M., Casanueva, M. O., Silva, M. C., Amaral, M. D., and Morimoto, R. I. (2007). Neuronal signaling modulates protein homeostasis in Caenorhabditis elegans post-synaptic muscle cells. Genes Dev. 21, 3006–3016. doi: 10.1101/gad.1575307

PubMed Abstract | CrossRef Full Text | Google Scholar

Ghaemmaghami, S., Huh, W. K., Bower, K., Howson, R. W., Belle, A., Dephoure, N., et al. (2003). Global analysis of protein expression in yeast. Nature 425, 737–741. doi: 10.1038/nature02046

PubMed Abstract | CrossRef Full Text | Google Scholar

Gidalevitz, T., Ben-Zvi, A., Ho, K. H., Brignull, H. R., and Morimoto, R. I. (2006). Progressive disruption of cellular protein folding in models of polyglutamine diseases. Science 311, 1471–1474. doi: 10.1126/science.1124514

PubMed Abstract | CrossRef Full Text | Google Scholar

Gomez-Pastor, R., Burchfiel, E. T., and Thiele, D. J. (2018). Regulation of heat shock transcription factors and their roles in physiology and disease. Nat. Rev. Mol. Cell Biol. 19, 4–19. doi: 10.1038/nrm.2017.73

PubMed Abstract | CrossRef Full Text | Google Scholar

Grad, L. I., Yerbury, J. J., Turner, B. J., Guest, W. C., Pokrishevsky, E., O’Neill, M. A., et al. (2014). Intercellular propagated misfolding of wild-type Cu/Zn superoxide dismutase occurs via exosome-dependent and -independent mechanisms. Proc. Natl. Acad. Sci. U S A. 111, 3620–3625. doi: 10.1073/pnas.1312245111

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, B. B., Bellingham, S. A., and Hill, A. F. (2015). The neutral sphingomyelinase pathway regulates packaging of the prion protein into exosomes. J. Biol. Chem. 290, 3455–3467. doi: 10.1074/jbc.M114.605253

PubMed Abstract | CrossRef Full Text | Google Scholar

Hartl, F. U. (1996). Molecular chaperones in cellular protein folding. Nature 381, 571–579.

Google Scholar

Hartl, F. U., Bracher, A., and Hayer-Hartl, M. (2011). Molecular chaperones in protein folding and proteostasis. Nature 475, 324–332. doi: 10.1038/nature10317

PubMed Abstract | CrossRef Full Text | Google Scholar

Haynes, C. M., Yang, Y., Blais, S. P., Neubert, T. A., and Ron, D. (2010). The matrix peptide exporter HAF-1 signals a mitochondrial UPR by activating the transcription factor ZC376.7 in C. elegans. Mol. Cell 37, 529–540. doi: 10.1016/j.molcel.2010.01.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Hipp, M. S., Kasturi, P., and Hartl, F. U. (2019). The proteostasis network and its decline in ageing. Nat. Rev. Mol. Cell Biol. 20, 421–435. doi: 10.1038/s41580-019-0101-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Hobert, O., and Ruvkun, G. (1998). A common theme for LIM homeobox gene function across phylogeny? Biol. Bull. 195, 377–380. doi: 10.2307/1543153

PubMed Abstract | CrossRef Full Text | Google Scholar

Hobert, O., Mori, I., Yamashita, Y., Honda, H., Ohshima, Y., Liu, Y., et al. (1997). Regulation of interneuron function in the C. elegans thermoregulatory pathway by the ttx-3 LIM homeobox gene. Neuron 19, 345–357. doi: 10.1016/s0896-6273(00)80944-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsin, H., and Kenyon, C. (1999). Signals from the reproductive system regulate the lifespan of C. elegans. Nature 399, 362–366.

Google Scholar

Imanikia, S., Sheng, M., Castro, C., Griffin, J. L., and Taylor, R. C. (2019). XBP-1 Remodels Lipid Metabolism to Extend Longevity. Cell Rep. 28, 581–9e4. doi: 10.1016/j.celrep.2019.06.057

PubMed Abstract | CrossRef Full Text | Google Scholar

Inada, H., Ito, H., Satterlee, J., Sengupta, P., Matsumoto, K., and Mori, I. (2006). Identification of guanylyl cyclases that function in thermosensory neurons of Caenorhabditis elegans. Genetics 172, 2239–2252. doi: 10.1534/genetics.105.050013

PubMed Abstract | CrossRef Full Text | Google Scholar

Jayaraj, G. G., Hipp, M. S., and Hartl, F. U. (2020). Functional modules of the proteostasis network. Cold Spring Harb. Perspect. Biol. 12:a033951. doi: 10.1101/cshperspect.a033951

PubMed Abstract | CrossRef Full Text | Google Scholar

Kampinga, H. H., and Craig, E. A. (2010). The HSP70 chaperone machinery: J proteins as drivers of functional specificity. Nat. Rev. Mol. Cell Biol. 11, 579–592. doi: 10.1038/nrm2941

PubMed Abstract | CrossRef Full Text | Google Scholar

Kazemi-Esfarjani, P., and Benzer, S. (2000). Genetic suppression of polyglutamine toxicity in Drosophila. Science 287, 1837–1840. doi: 10.1126/science.287.5459.1837

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, K. H., Jeong, Y. T., Oh, H., Kim, S. H., Cho, J. M., Kim, Y. N., et al. (2013). Autophagy deficiency leads to protection from obesity and insulin resistance by inducing Fgf21 as a mitokine. Nat. Med. 19, 83–92. doi: 10.1038/nm.3014

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, Y. E., Hipp, M. S., Bracher, A., Hayer-Hartl, M., and Hartl, F. U. (2013). Molecular chaperone functions in protein folding and proteostasis. Annu. Rev. Biochem. 82, 323–355. doi: 10.1146/annurev-biochem-060208-092442

PubMed Abstract | CrossRef Full Text | Google Scholar

Kirkin, V., McEwan, D. G., Novak, I., and Dikic, I. (2009). A role for ubiquitin in selective autophagy. Mol. Cell 34, 259–269.

Google Scholar

Klaips, C. L., Jayaraj, G. G., and Hartl, F. U. (2018). Pathways of cellular proteostasis in aging and disease. J. Cell Biol. 217, 51–63. doi: 10.1083/jcb.201709072

PubMed Abstract | CrossRef Full Text | Google Scholar

Kulak, N. A., Geyer, P. E., and Mann, M. (2017). Loss-less nano-fractionator for high sensitivity, high coverage proteomics. Mol. Cell Proteom. 16, 694–705. doi: 10.1074/mcp.O116.065136

PubMed Abstract | CrossRef Full Text | Google Scholar

Labbadia, J., and Morimoto, R. I. (2015a). Repression of the heat shock response is a programmed event at the onset of reproduction. Mol. Cell 59, 639–650. doi: 10.1016/j.molcel.2015.06.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Labbadia, J., and Morimoto, R. I. (2015b). The biology of proteostasis in aging and disease. Annu. Rev. Biochem. 84, 435–464. doi: 10.1146/annurev-biochem-060614-033955

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, C., Kim, H., and Bardwell, J. C. A. (2018). Electrostatic interactions are important for chaperone-client interaction in vivo. Microbiology 164, 992–997. doi: 10.1099/mic.0.000676

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, S. J., Hwang, A. B., and Kenyon, C. (2010). Inhibition of respiration extends C. elegans life span via reactive oxygen species that increase HIF-1 activity. Curr. Biol. 20, 2131–2136. doi: 10.1016/j.cub.2010.10.057

PubMed Abstract | CrossRef Full Text | Google Scholar

Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., et al. (2016). Analysis of protein-coding genetic variation in 60,706 humans. Nature 536, 285–291. doi: 10.1038/nature19057

PubMed Abstract | CrossRef Full Text | Google Scholar

Mahadevan, N. R., Anufreichik, V., Rodvold, J. J., Chiu, K. T., Sepulveda, H., and Zanetti, M. (2012). Cell-extrinsic effects of tumor ER stress imprint myeloid dendritic cells and impair CD8(+) T cell priming. PLoS One 7:e51845. doi: 10.1371/journal.pone.0051845

PubMed Abstract | CrossRef Full Text | Google Scholar

Maman, M., Carvalhal Marques, F., Volovik, Y., Dubnikov, T., Bejerano-Sagie, M., and Cohen, E. (2013). A neuronal GPCR is critical for the induction of the heat shock response in the nematode C. elegans. J. Neurosci. 33, 6102–6111. doi: 10.1523/JNEUROSCI.4023-12.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

Marques, C., Guo, W., Pereira, P., Taylor, A., Patterson, C., Evans, P. C., et al. (2006). The triage of damaged proteins: degradation by the ubiquitin-proteasome pathway or repair by molecular chaperones. FASEB J. 20, 741–743. doi: 10.1096/fj.05-5080fje

PubMed Abstract | CrossRef Full Text | Google Scholar

Miles, J., Scherz-Shouval, R., and van Oosten-Hawle, P. (2019). Expanding the organismal proteostasis network: linking systemic stress signaling with the innate immune response. Trends Biochem. Sci. 44, 927–942. doi: 10.1016/j.tibs.2019.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, H. A., Dean, E. S., Pletcher, S. D., and Leiser, S. F. (2020). Cell non-autonomous regulation of health and longevity. Elife 9:e62659. doi: 10.7554/eLife.62659

PubMed Abstract | CrossRef Full Text | Google Scholar

Moll, L., Roitenberg, N., Bejerano-Sagie, M., Boocholez, H., Carvalhal Marques, F., Volovik, Y., et al. (2018). The insulin/IGF signaling cascade modulates SUMOylation to regulate aging and proteostasis in Caenorhabditis elegans. Elife 7:e38635. doi: 10.7554/eLife.38635

PubMed Abstract | CrossRef Full Text | Google Scholar

Moran Luengo, T., Mayer, M. P., and Rudiger, S. G. D. (2019). The Hsp70-Hsp90 chaperone cascade in protein folding. Trends Cell Biol. 29, 164–177. doi: 10.1016/j.tcb.2018.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Mori, I., and Ohshima, Y. (1995). Neural regulation of thermotaxis in Caenorhabditis elegans. Nature 376, 344–348. doi: 10.1038/376344a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Morimoto, R. I. (2020). Cell-nonautonomous regulation of proteostasis in aging and disease. Cold Spring Harb. Perspect. Biol. 12:a034074. doi: 10.1101/cshperspect.a034074

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Brien, D., Jones, L. M., Good, S., Miles, J., Vijayabaskar, M. S., Aston, R., et al. (2018). A PQM-1-mediated response triggers transcellular chaperone signaling and regulates organismal proteostasis. Cell Rep. 23, 3905–3919. doi: 10.1016/j.celrep.2018.05.093

PubMed Abstract | CrossRef Full Text | Google Scholar

Pellegrino, M. W., Nargund, A. M., and Haynes, C. M. (2013). Signaling the mitochondrial unfolded protein response. Biochim. Biophys. Acta 1833, 410–416.

Google Scholar

Perez-Gonzalez, R., Gauthier, S. A., Kumar, A., and Levy, E. (2012). The exosome secretory pathway transports amyloid precursor protein carboxyl-terminal fragments from the cell into the brain extracellular space. J. Biol. Chem. 287, 43108–43115. doi: 10.1074/jbc.M112.404467

PubMed Abstract | CrossRef Full Text | Google Scholar

Popiel, H. A., Takeuchi, T., Fujita, H., Yamamoto, K., Ito, C., Yamane, H., et al. (2012). Hsp40 gene therapy exerts therapeutic effects on polyglutamine disease mice via a non-cell autonomous mechanism. PLoS One 7:e51069. doi: 10.1371/journal.pone.0051069

PubMed Abstract | CrossRef Full Text | Google Scholar

Powers, E. T., Morimoto, R. I., Dillin, A., Kelly, J. W., and Balch, W. E. (2009). Biological and chemical approaches to diseases of proteostasis deficiency. Annu. Rev. Biochem. 78, 959–991. doi: 10.1146/annurev.biochem.052308.114844

PubMed Abstract | CrossRef Full Text | Google Scholar

Prahlad, V., and Morimoto, R. I. (2011). Neuronal circuitry regulates the response of Caenorhabditis elegans to misfolded proteins. Proc. Natl. Acad. Sci. U S A. 108, 14204–14209. doi: 10.1073/pnas.1106557108

PubMed Abstract | CrossRef Full Text | Google Scholar

Prahlad, V., Cornelius, T., and Morimoto, R. I. (2008). Regulation of the cellular heat shock response in Caenorhabditis elegans by thermosensory neurons. Science 320, 811–814. doi: 10.1126/science.1156093

PubMed Abstract | CrossRef Full Text | Google Scholar

Rajendran, L., Honsho, M., Zahn, T. R., Keller, P., Geiger, K. D., Verkade, P., et al. (2006). Alzheimer’s disease beta-amyloid peptides are released in association with exosomes. Proc. Natl. Acad. Sci. U S A. 103, 11172–11177. doi: 10.1073/pnas.0603838103

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramot, D., MacInnis, B. L., and Goodman, M. B. (2008). Bidirectional temperature-sensing by a single thermosensory neuron in C. elegans. Nat. Neurosci. 11, 908–915. doi: 10.1038/nn.2157

PubMed Abstract | CrossRef Full Text | Google Scholar

Rebeaud, M. E., Mallik, S., Goloubinoff, P., and Tawfik, D. S. (2021). On the evolution of chaperones and cochaperones and the expansion of proteomes across the Tree of Life. Proc. Natl. Acad. Sci. U S A. 118:e2020885118. doi: 10.1073/pnas.2020885118

PubMed Abstract | CrossRef Full Text | Google Scholar

Ron, D., and Walter, P. (2007). Signal integration in the endoplasmic reticulum unfolded protein response. Nat. Rev. Mol. Cell Biol. 8, 519–529.

Google Scholar

Sahu, R., Kaushik, S., Clement, C. C., Cannizzo, E. S., Scharf, B., Follenzi, A., et al. (2011). Microautophagy of cytosolic proteins by late endosomes. Dev. Cell 20, 131–139. doi: 10.1016/j.devcel.2010.12.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Sala, A. J., and Morimoto, R. I. (2022). Protecting the future: balancing proteostasis for reproduction. Trends Cell Biol. 32, 202–215. doi: 10.1016/j.tcb.2021.09.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Saman, S., Kim, W., Raya, M., Visnick, Y., Miro, S., Saman, S., et al. (2012). Exosome-associated tau is secreted in tauopathy models and is selectively phosphorylated in cerebrospinal fluid in early Alzheimer disease. J. Biol. Chem. 287, 3842–3849. doi: 10.1074/jbc.M111.277061

PubMed Abstract | CrossRef Full Text | Google Scholar

Senchuk, M. M., Dues, D. J., Schaar, C. E., Johnson, B. K., Madaj, Z. B., Bowman, M. J., et al. (2018). Activation of DAF-16/FOXO by reactive oxygen species contributes to longevity in long-lived mitochondrial mutants in Caenorhabditis elegans. PLoS Genet. 14:e1007268. doi: 10.1371/journal.pgen.1007268

PubMed Abstract | CrossRef Full Text | Google Scholar

Shao, Y. F., Wang, C., Xie, J. F., Kong, X. P., Xin, L., Dong, C. Y., et al. (2016). Neuropeptide S ameliorates olfactory spatial memory impairment induced by scopolamine and MK801 through activation of cognate receptor-expressing neurons in the subiculum complex. Brain Struct. Funct. 221, 3327–3336. doi: 10.1007/s00429-015-1103-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Shemesh, N., Shai, N., and Ben-Zvi, A. (2013). Germline stem cell arrest inhibits the collapse of somatic proteostasis early in Caenorhabditis elegans adulthood. Aging Cell 12, 814–822. doi: 10.1111/acel.12110

PubMed Abstract | CrossRef Full Text | Google Scholar

Sugi, T., Nishida, Y., and Mori, I. (2011). Regulation of behavioral plasticity by systemic temperature signaling in Caenorhabditis elegans. Nat. Neurosci. 14, 984–992. doi: 10.1038/nn.2854

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, J., Liu, Y., and Aballay, A. (2012). Organismal regulation of XBP-1-mediated unfolded protein response during development and immune activation. EMBO Rep. 13, 855–860. doi: 10.1038/embor.2012.100

PubMed Abstract | CrossRef Full Text | Google Scholar

Takeuchi, T. (2018). Non-cell autonomous maintenance of proteostasis by molecular chaperones and its molecular mechanism. Biol. Pharm. Bull. 41, 843–849. doi: 10.1248/bpb.b18-00141

PubMed Abstract | CrossRef Full Text | Google Scholar

Takeuchi, T., Suzuki, M., Fujikake, N., Popiel, H. A., Kikuchi, H., Futaki, S., et al. (2015). Intercellular chaperone transmission via exosomes contributes to maintenance of protein homeostasis at the organismal level. Proc. Natl. Acad. Sci. U S A. 112, E2497–E2506. doi: 10.1073/pnas.1412651112

PubMed Abstract | CrossRef Full Text | Google Scholar

Tatum, M. C., Ooi, F. K., Chikka, M. R., Chauve, L., Martinez-Velazquez, L. A., Steinbusch, H. W. M., et al. (2015). Neuronal serotonin release triggers the heat shock response in C. elegans in the absence of temperature increase. Curr. Biol. 25, 163–174. doi: 10.1016/j.cub.2014.11.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Taylor, R. C., and Dillin, A. (2013). XBP-1 is a cell-nonautonomous regulator of stress resistance and longevity. Cell 153, 1435–1447.

Google Scholar

Taylor, R. C., Berendzen, K. M., and Dillin, A. (2014). Systemic stress signalling: understanding the cell non-autonomous control of proteostasis. Nat. Rev. Mol. Cell Biol. 15, 211–217. doi: 10.1038/nrm3752

PubMed Abstract | CrossRef Full Text | Google Scholar

Uversky, V. N., Oldfield, C. J., and Dunker, A. K. (2008). Intrinsically disordered proteins in human diseases: introducing the D2 concept. Annu. Rev. Biophys. 37, 215–246. doi: 10.1146/annurev.biophys.37.032807.125924

PubMed Abstract | CrossRef Full Text | Google Scholar

van Oosten-Hawle, P., Porter, R. S., and Morimoto, R. I. (2013). Regulation of organismal proteostasis by transcellular chaperone signaling. Cell 153, 1366–1378.

Google Scholar

Walther, D. M., Kasturi, P., Zheng, M., Pinkert, S., Vecchi, G., Ciryam, P., et al. (2015). Widespread proteome remodeling and aggregation in aging C. elegans. Cell 161, 919–932.

Google Scholar

Warrick, J. M., Chan, H. Y., Gray-Board, G. L., Chai, Y., Paulson, H. L., and Bonini, N. M. (1999). Suppression of polyglutamine-mediated neurodegeneration in Drosophila by the molecular chaperone HSP70. Nat. Genet. 23, 425–428. doi: 10.1038/70532

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, K. W., Liu, T., Kong, X., Fukuda, M., Deng, Y., Berglund, E. D., et al. (2014). Xbp1s in Pomc neurons connects ER stress with energy balance and glucose homeostasis. Cell Metab. 20, 471–482. doi: 10.1016/j.cmet.2014.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Yee, C., Yang, W., and Hekimi, S. (2014). The intrinsic apoptosis pathway mediates the pro-longevity response to mitochondrial ROS in C. elegans. Cell 157, 897–909. doi: 10.1016/j.cell.2014.02.055

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Q., Wu, X., Chen, P., Liu, L., Xin, N., Tian, Y., et al. (2018). The mitochondrial unfolded protein response is mediated cell-non-autonomously by retromer-dependent WNT signaling. Cell 174, 870–83e17. doi: 10.1016/j.cell.2018.06.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Zheng, X., Krakowiak, J., Patel, N., Beyzavi, A., Ezike, J., Khalil, A. S., et al. (2016). Dynamic control of Hsf1 during heat shock by a chaperone switch and phosphorylation. Elife 5:e18638. doi: 10.7554/eLife.18638

PubMed Abstract | CrossRef Full Text | Google Scholar

Zou, J., Guo, Y., Guettouche, T., Smith, D. F., and Voellmy, R. (1998). Repression of heat shock transcription factor HSF1 activation by HSP90 (HSP90 complex) that forms a stress-sensitive complex with HSF1. Cell 94, 471–480. doi: 10.1016/s0092-8674(00)81588-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: proteostasis, molecular chaperones, transcellular, misfolding, proteotoxicity

Citation: Ferreira JV, da Rosa Soares A and Pereira P (2022) Cell Non-autonomous Proteostasis Regulation in Aging and Disease. Front. Neurosci. 16:878296. doi: 10.3389/fnins.2022.878296

Received: 17 February 2022; Accepted: 18 May 2022;
Published: 09 June 2022.

Edited by:

Valle Palomo, Spanish National Research Council (CSIC), Spain

Reviewed by:

Ehud Cohen, Hebrew University of Jerusalem, Israel
Anat Ben-Zvi, Ben-Gurion University of the Negev, Israel

Copyright © 2022 Ferreira, da Rosa Soares and Pereira. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Joao Vasco Ferreira, joao.ferreira@nms.unl.pt

Present address: Ana da Rosa Soares, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.