ABSTRACT
During aging, animals experience a decline in proteostasis activity, including loss of stress-response activation, culminating in the accumulation of misfolded proteins and toxic aggregates, which are causal in the onset of some chronic diseases. Finding genetic and pharmaceutical treatments that can increase organismal proteostasis and lengthen life is an ongoing goal of current research. The regulation of stress responses by cell non-autonomous mechanisms appears to be a potent way to impact organismal healthspan. In this Review, we cover recent findings in the intersection of proteostasis and aging, with a special focus on articles and preprints published between November 2021 and October 2022. A significant number of papers published during this time increased our understanding of how cells communicate with each other during proteotoxic stress. Finally, we also draw attention to emerging datasets that can be explored to generate new hypotheses that explain age-related proteostasis collapse.
Keywords: UPR, Cell non-autonomous response, Heat shock response, Longevity, Protein homeostasis
Summary: This A Year at the Forefront Review summarises key findings and new datasets in the intersection of proteostasis and aging, with a focus on articles and preprints published between November 2021 and October 2022.
Introduction
Proteostasis is the sum of reactions and signalling pathways related to the synthesis, folding, trafficking, disaggregation, and degradation of proteins (Balch et al., 2008). One of the hallmarks of aging is a decline in proteostasis (López-Otín et al., 2013). Unsurprisingly, defects in all major steps of proteostasis are related to the accumulation of toxic aggregates and misfolded proteins, a key feature of neurodegenerative diseases (Hetz, 2021). Throughout evolution, a range of protein quality-control mechanisms have emerged, some of which are specialised in monitoring the proteome within specific subcellular compartments. Examples are the cytosolic heat-shock response (HSR), the mitochondrial unfolded protein response (UPRmt), and the unfolded protein response of the endoplasmic reticulum (UPRER). The mechanisms underlying age-related proteostasis collapse are still not completely understood, but studies using Caenorhabditis elegans and mice suggest that it initiates during early adulthood preceding the emergence of age-related diseases (Cabral-Miranda et al., 2022; Taylor and Dillin, 2013). Mechanistically, age-related chromatin changes are implicated in the downregulation of stress-response activity (Labbadia and Morimoto, 2015; Sabath et al., 2020), although recent findings also point to a decrease in the activity of sensors of these pathways (Cabral-Miranda et al., 2022; De-Souza et al., 2022b).
For a long time, cellular stress responses that regulate proteostasis (e.g. HSR, UPR) were perceived as signalling pathways that sense disturbances in the local proteome. When misfolded proteins accumulate in organelles, retrograde stress responses are activated to increase the expression of organelle-specific chaperones. However, recent findings, mainly in invertebrates, show that these responses can also be controlled by signals coming from other tissues, especially neurons, in a cell non-autonomous way (Miller et al., 2020) (Fig. 1). Initially, it was found, in C. elegans, that upon temperature increase a functional thermosensory neuron was required for the activation of the HSR in other somatic tissues (Prahlad et al., 2008). Neuronal or glial overexpression of XBP-1 (the transcription factor of the UPRER pathway) also induces the activation of the UPRER in the distal tissues of the animals (Frakes et al., 2020; Ozbey et al., 2020; Taylor and Dillin, 2013; Williams et al., 2014). Surprisingly, this promotes lifespan extension and protection against toxic protein aggregates (Imanikia et al., 2019; Taylor and Dillin, 2013).
Fig. 1.
Cell non-autonomous regulation of proteostasis and longevity by the nervous system. Both neurons and glia were shown to regulate the HSR, UPRER, and UPRmt in distal tissues in response to genetic interventions or environmental stimulation. This form of signalling depends on the production or secretion of specific neurotransmitters, neuropeptides and other proteins, such as Wnt. Electron Transport Chain (ETC).
In this Review, we summarise recent advances in the proteostasis and aging fields. We also cover new genetic and pharmacological interventions that have the potential to ameliorate the toxic effects of age-related protein aggregation. Finally, we discuss advances in our understanding of how proteostasis is regulated at a systemic level in metazoans.
Discoveries
Previous work has established an important relationship between neurons and intestinal cells in the regulation of proteostasis in C. elegans (Taylor et al., 2014). Recently, it was shown that neuronal HLH-30/TFEB regulates mitochondrial fragmentation in muscle cells with an impact on organismal thermotolerance (Wong et al., 2022 preprint). Curiously, another study shows that, depending on the nature of the proteotoxic stimulus, worms employ distinct neurons to communicate stress-response activation to somatic tissues (Boocholez et al., 2022). In C. elegans, the overexpression of hsf-1 in the cephalic sheath glia (functional homolog of mammalian astrocytes) was shown in a recent study to increase lifespan, thermotolerance, and pathogen resistance in a mechanism dependent on the intestinal activation of DAF-16 and the HSR (Gildea et al., 2022 preprint). A recent work showed that extracellular vesicles containing ceramides promote UPRER activation in myotubes in mice (McNally et al., 2022), arguing that some lipid species could regulate proteostasis in distal tissues. Accordingly, new evidence points that sphingolipids can regulate the activity of both the UPRER and UPRmt (Bieniawski et al., 2022; Yildirim et al., 2022).
Most of the studies investigating cell non-autonomous responses relied on the use of transgenes. Thus, it has not been clear whether this type of response occurs in response to environmental insults. Earlier studies show that the immune system and the HSR pathway in C. elegans can both be stimulated by pathogen-associated odour (Ooi and Prahlad, 2017; Prakash et al., 2021). A new study has now observed that olfactory chemosensation of pathogen-derived molecules by chemosensory neurons cause cell non-autonomous activation of the UPRER in C. elegans. This is accompanied by lifespan extension and reduced accumulation of toxic polyglutamine expansions (De-Souza et al., 2022a preprint). In parallel, another group observed that exposure to a specific odour (urine) extends the lifespan of female mice (Garratt et al., 2022 preprint). Identifying strategies for keeping stress responses functional as we age, particularly in the brain, is a promising area of study that may have an impact on age-related disorders. However, this approach is difficult to tune and the blood–brain barrier is a major obstacle in efforts to manipulate neurons. Works showing that neuronal proteostasis can be modulated by sensory inputs (De-Souza et al., 2022a preprint; Ozbey et al., 2020) suggest that, if validated in mammals, targeting chemosensory neurons could be a strategy to bypass the blood–brain barrier to modulate brain proteostasis.
Technological innovations
Progress in the development of genome editing tools now allows the more comprehensive study of less commonly used model organisms. Advances in knock-in technology using CRISPR were recently obtained in the African turquoise killifish, a vertebrate species that has a short lifespan of just 4-6 months (Nath et al., 2022 preprint). By mutating genes involved in body pigmentation, a transparent killifish reporter line to monitor senescence was created, which could be used to identify new anti-aging interventions (Krug et al., 2022 preprint). Extremophile organisms are characterised by their high resistance to environmental stress, and their study could bring novel insights into the maintenance of proteostasis. Species like tardigrades and naked mole-rats can survive high radiation and prolonged hypoxia, respectively (Little et al., 2021). A series of exciting new studies has used the expression of genes from extremophile species in model organisms. Remarkably, the expression of the hyaluronic acid synthase 2 gene from naked mole-rats in mice promoted lifespan extension (Zhang et al., 2022) and the overexpression of HSPs derived from tardigrades confers desiccation tolerance to bacteria (Hibshman et al., 2023). Recently, a CRISPR protocol was developed for genome editing in tardigrades (Kumagai et al., 2022), which will allow investigators to test the function of specific proteins in their extremophile phenotype.
The last year has also seen important progress in the development of aging biomarkers. Historically, epigenetic clocks were developed by using the DNA methylation patterns in specific genomic regions as a way to measure biological aging (Horvath, 2013). This year, a consortium generated a functional epigenetic clock applicable to different mammalian species (Lu et al., 2021 preprint). The authors of this study argue that the fact that they are able to create an epigenetic clock which works across species suggests the existence of an underlying process driving aging, conserved across diverse mammalian species. Another study, in humans, generated a physiology clock refining from 120 to only 12 physiological parameters (e.g. systolic blood pressure, IGF-1 levels, etc.) that when tracked collectively serve as a reliable predictor of biological age (Libert et al., 2022 preprint). The continued development of reliable biomarkers will be essential for clinical trials evaluating interventions that can lengthen human healthspan in the coming years.
New resources
Single-cell RNA sequencing of C. elegans during aging was independently performed by two groups (Roux et al., 2022 preprint; Wang et al., 2022). Both studies found altered levels of the UPRER-related transcriptional factor XBP-1, indicating that ER proteostasis is differentially regulated during aging. Tissue-specific proteome profiling was also performed in killifish and mice, and curiously both studies found alterations in the levels of some ribosomal subunits (Chen et al., 2022a preprint; Keele et al., 2022 preprint). In addition, a significant number of databases related to aging and proteostasis were published in the last year (Table 1).
Table 1.
New available databases related to biogerontology and proteostasis research
New hypotheses
A fundamental question in biogerontology is why animals lose the ability to maintain proteostasis with aging. A new study observed that an age-related increase in ribosome pausing occurs driven by a reduced activity of the ribosome quality control (RQC) pathway (Stein et al., 2022). Another provocative study, in mice, argued that error-prone translation caused by ribosomal ambiguity mutations induces phenotypes that more closely match the progression of the Alzheimer's Disease than Aβ amyloid overexpression models do (Brilkova et al., 2022). Their findings suggest that the accumulation of random mutations in DNA over time may induce increased protein misfolding, sequestering away key components of the proteostasis maintenance machinery, such as chaperones, ultimately causing a collapse in proteostasis.
The use of model organisms for aging research allows the direct study of longevity over reasonable timescales that would not be practicable using humans. The main model organisms used for lifespan studies are the nematode C. elegans, the fruit fly Drosophila melanogaster, and the mouse Mus musculus. While these organisms vary in complexity, the rationale for choosing them for lifespan studies is that these animals have fast development and are short-lived. Recent work, however, suggests that C. elegans is a semelparous species, undergoing reproductive death (Kern and Gems, 2022). This might have significant implications since it increases the chance that interventions that extend worm's lifespan will not translate to higher organisms, and underscores the importance of understanding the evolutionary logic at work in the models used to study aging. The authors of this study further argue that semelparity and iteoparity likely exist on a continuum rather than as fully distinct categories (Kern and Gems, 2022; Kern et al., 2020 preprint). Many researchers view mouse lifespans as the gold standard of a bona fide pro-longevity intervention. While mice live longer than C. elegans, M. musculus was also chosen as a model organism in part due to its short generation time and large litters (Phifer-Rixey and Nachman, 2015), suggesting that (although there is no evidence of semelparity in mice) even the mouse employs a very different life strategy from humans.
A popular assumption in the biogerontology field is that there is a single underlying mechanism which comprises ‘aging’ that if addressed directly could delay or even reverse aging itself. Building on earlier theories of entropic aging, a recent analysis of DNA methylation data and longitudinal medical records identifies thermodynamic biological age (tBA) (Tarkhov et al., 2022 preprint) as a good readout of an organism's aging state, positioning increasing entropy as the major underlying process that drives aging. This suggests that some approaches that seek to reverse aging without replacing significant parts of the organism may be limited in their success, and therefore supports the hypothesis that interventions to target aging will be more effective if they slow the rate of aging itself, rather than seeking to reverse aspects of aging. Similarly, a recent review advances the hypothesis that diverse types of molecular damage (including many that impact proteostasis) cumulatively underlie aging (Gladyshev et al., 2021).alz
Future prospects
One exciting prospect on the horizon for aging research is the arrival of data on aging interventions from several large-scale studies. Companion dogs, in contrast to laboratory animals, are genetically diverse and – much like their human owners – live in diverse environments. Several efforts to study the effects of various pro-longevity interventions in dogs are underway, notably the dog aging project which is studying the effect of rapamycin in dogs (Urfer et al., 2017) and studies underway in the company Loyal (Chen et al., 2022b preprint). Thus, the arrival of data on the effectiveness of pro-longevity interventions in pets has the potential to provide the strongest evidence to date for the feasibility of pharmacological human lifespan extension. A human clinical trial testing the FDA-approved compound metformin for lifespan extension is well underway and the arrival of this data will represent the first major trial of a drug for lifespan extension in humans, regardless of the outcome (Barzilai et al., 2016). Finally, in the field of Alzheimer's Disease, lecanemab caused a small but significant positive result in a phase IIb clinical trial in humans suffering from Alzheimer's Disease, and it is expected that results from the phase III study will be available soon (Swanson et al., 2021). Lecanemab is a monoclonal antibody which targets soluble Aβ, and the development of a bona fide treatment for Alzheimer's Disease, if ultimately successful represents an important milestone in neurodegenerative disease research.
Therefore, together with the emergence of novel aging biomarkers, we expect that ongoing clinical trials will be able to test hypotheses and interventions generated in the last decades with the potential impact to extend the human healthspan. Together with the development of novel datasets and hypothesis, we expect an increase in our understanding of the relationship between proteostasis and aging in the next few years.
Acknowledgements
We apologize for omitting relevant works due to space constraints. We thank Rebecca Taylor for careful review and insightful comments on the manuscript.
Footnotes
Funding
This work was funded by the Medical Research Council. E.A.deS. has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant [894039].
Contributor Information
Maximilian A. Thompson, Email: mthompson@mrc-lmb.cam.ac.uk.
Evandro A. De-Souza, Email: desouza.evs92@gmail.com.
References
- Balch, W. E., Morimoto, R. I., Dillin, A. and Kelly, J. W. (2008). Adapting proteostasis for disease intervention. Science (New York, N.Y.) 319, 916-919. 10.1126/science.1141448 [DOI] [PubMed] [Google Scholar]
- Barzilai, N., Crandall, J. P., Kritchevsky, S. B. and Espeland, M. A. (2016). Metformin as a tool to target aging. Cell Metab. 23, 1060-1065. 10.1016/j.cmet.2016.05.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bieniawski, M. A., Stevens, K. L. P., Witham, C. M., Steuart, R. F. L., Bankaitis, V. A. and Mousley, C. J. (2022). Diverse sphingolipid species harbor different effects on ire1 clustering. IJMS 23, 12130. 10.3390/ijms232012130 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boocholez, H., Marques, F. C., Levine, A., Roitenberg, N., Siddiqui, A. A., Zhu, H., Moll, L., Grushko, D., Haimson, R. B., Elami, T.et al. (2022). Neuropeptide signaling and SKN-1 orchestrate differential responses of the proteostasis network to dissimilar proteotoxic insults. Cell Reports 38, 110350. 10.1016/j.celrep.2022.110350 [DOI] [PubMed] [Google Scholar]
- Brilkova, M., Nigri, M., Kumar, H. S., Moore, J., Mantovani, M., Keller, C., Grimm, A., Eckert, A., Shcherbakov, D., Akbergenov, R.et al. (2022). Error-prone protein synthesis recapitulates early symptoms of Alzheimer disease in aging mice. Cell Reports 40, 111433. 10.1016/j.celrep.2022.111433 [DOI] [PubMed] [Google Scholar]
- Bulovaite, E., Qiu, Z., Kratschke, M., Zgraj, A., Fricker, D. G., Tuck, E. J., Gokhale, R., Koniaris, B., Jami, S. A., Merino-Serrais, P.et al. (2022). A brain atlas of synapse protein lifetime across the mouse lifespan. Neuron 110, 4057-4073.e8. 10.1016/j.neuron.2022.09.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cabral-Miranda, F., Tamburini, G., Martinez, G., Ardiles, A. O., Medinas, D. B., Gerakis, Y., Hung, M. D., Vidal, R., Fuentealba, M., Miedema, T.et al. (2022). Unfolded protein response IRE1 / XBP1 signaling is required for healthy mammalian brain aging. EMBO J. 41, e111952. 10.15252/embj.2022111952 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen, Y. R., Harel, I., Singh, P. P., Ziv, I., Moses, E., Goshtchevsky, U., Machado, B. E., Brunet, A. and Jarosz, D. F. (2022a). Tissue-specific landscape of protein aggregation and quality control in an aging vertebrate. bioRxiv 1, 125. 10.1101/2022.02.26.482120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen, F. L., Ullal, T. V., Graves, J. L., Ratcliff, E. R., Naka, A., McKenzie, B., Carttar, T. A., Super, K. M., Austriaco, J., Weber, S. Y.et al. (2022b). Evaluating instruments for assessing healthspan: a multi-center cross-sectional study on health-related quality of life (HRQL) and frailty in the companion dog. bioRxiv 1, 36. 10.1101/2022.07.21.500746 [DOI] [PMC free article] [PubMed] [Google Scholar]
- De-Souza, E. A., Thompson, M. A. and Taylor, R. C. (2022a). Olfactory chemosensation extends lifespan through TGF-β signaling and UPR activation. bioRxiv 1, 19. 10.1101/2022.10.12.511902 [DOI] [PMC free article] [PubMed] [Google Scholar]
- De-Souza, E. A., Cummins, N. and Taylor, R. C. (2022b). IRE-1 endoribonuclease activity declines early in C. elegans adulthood and is not rescued by reduced reproduction. Front. Aging 3, 1044556. 10.3389/fragi.2022.1044556 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Frakes, A. E., Metcalf, M. G., Tronnes, S. U., Bar-Ziv, R., Durieux, J., Gildea, H. K., Kandahari, N., Monshietehadi, S. and Dillin, A. (2020). Four glial cells regulate ER stress resistance and longevity via neuropeptide signaling in C. elegans. Science (New York. N.Y) 367, 436-440. 10.1126/science.aaz6896 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gao, Y., Shang, S., Guo, S., Wang, X., Zhou, H., Sun, Y., Gan, J., Zhang, Y., Li, X., Ning, S.et al. (2022). AgingBank: a manually curated knowledgebase and high-throughput analysis platform that provides experimentally supported multi-omics data relevant to aging in multiple species. Brief. Bioinform. 23, bbac438. 10.1093/bib/bbac438 [DOI] [PubMed] [Google Scholar]
- Garratt, M., Erturk, I., Alonzo, R., Zufall, F., Leinders-Zufall, T., Pletcher, S. and Miller, R. A. (2022). Lifespan extension in female mice by early, transient exposure to adult female olfactory cues. eLife 11, e84060. 10.7554/eLife.84060 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gildea, H. K., Frankino, P. A., Tronnes, S. U., Pender, C. L., Choi, H. O., Hunter, T. D., Cheung, S. S., Frakes, A. E., Sukarto, E. and Dillin, A. (2022). Glia of C. elegans coordinate the heat shock response independent of the neuronal thermosensory circuit and serotonin. bioRxiv 8(49), eabq3970. 10.1126/sciadv.abq3970 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gladyshev, V. N., Kritchevsky, S. B., Clarke, S. G., Cuervo, A. M., Fiehn, O., de Magalhães, J. P., Mau, T., Maes, M., Moritz, R. L., Niedernhofer, L. J.et al. (2021). Molecular damage in aging. Nat Aging 1, 1096-1106. 10.1038/s43587-021-00150-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hetz, C. (2021). Adapting the proteostasis capacity to sustain brain healthspan. Cell 184, 1545-1560. 10.1016/j.cell.2021.02.007 [DOI] [PubMed] [Google Scholar]
- Hibshman, J. D., Carra, S. and Goldstein, B. (2023). Tardigrade small heat shock proteins can limit desiccation-induced protein aggregation. Commun Biol 6, 121. 10.1038/s42003-023-04512-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- Horvath, S. (2013). DNA methylation age of human tissues and cell types. Genome Biol. 14, R115. 10.1186/gb-2013-14-10-r115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang, K., Gong, H., Guan, J., Zhang, L., Hu, C., Zhao, W., Huang, L., Zhang, W., Kim, P. and Zhou, X. (2022). AgeAnno: a knowledgebase of single-cell annotation of aging in human. Nucleic Acids Res. 51, D805-D815. 10.1093/nar/gkac847 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Imanikia, S., Özbey, N. P., Krueger, C., Casanueva, M. O. and Taylor, R. C. (2019). Neuronal XBP-1 Activates Intestinal Lysosomes to Improve Proteostasis in C. elegans. Current biology : CB 29, 2322-2338.e7. 10.1016/j.cub.2019.06.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kang, W., Jin, T., Zhang, T., Ma, S., Yan, H., Liu, Z., Ji, Z., Cai, Y., Wang, S., Song, M.et al. (2022). Regeneration Roadmap: database resources for regenerative biology. Nucleic Acids Res. 50, D1085-D1090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kedlian, V. R., Wang, Y., Liu, T., Chen, X., Bolt, L., Shen, Z., Fasouli, E. S., Prigmore, E., Kleshchevnikov, V., Li, T.et al. (2022). Human skeletal muscle ageing atlas. bioRxiv 1, 57. 10.1101/2022.05.24.493094 [DOI] [Google Scholar]
- Keele, G. R., Zhang, J.-G., Szpyt, J., Korstanje, R., Gygi, S. P., Churchill, G. A. and Schweppe, D. K. (2022). Global and tissue-specific aging effects on murine proteomes. bioRxiv 1, 37. 10.1101/2022.05.17.492125 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kern, C. C. and Gems, D. (2022). Semelparous death as one element of iteroparous aging gone large. Front. Genet 13, 880343. 10.3389/fgene.2022.880343 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kern, C. C., Srivastava, S., Ezcurra, M., Hui, N., Townsend, S., Maczik, D., Tse, V., Bähler, J. and Gems, D. (2020). C. elegans hermaphrodites undergo semelparous reproductive death. bioRxiv 1, 14. 10.1101/2020.11.16.384255 [DOI] [Google Scholar]
- Krug, J., Albertz, C., Hopfenmüller, V. L. and Englert, C. (2022). Generation of a transparent killifish line through multiplex CRISPR/Cas9-mediated gene inactivation. bioRxiv 1, 39. 10.1101/2022.07.04.498720 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kumagai, H., Kondo, K. and Kunieda, T. (2022). Application of CRISPR/Cas9 system and the preferred no-indel end-joining repair in tardigrades. Biochem. Biophys. Res. Commun. 623, 196-201. 10.1016/j.bbrc.2022.07.060 [DOI] [PubMed] [Google Scholar]
- Labbadia, J. and Morimoto, R. I. (2015). Repression of the heat shock response is a programmed event at the onset of reproduction. Mol. Cell 59, 639-650. 10.1016/j.molcel.2015.06.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Libert, S., Chekholko, A. and Kenyon, C. (2022). A physiology clock for human aging. bioRxiv 1, 21. 10.1101/2022.04.14.488358 [DOI] [Google Scholar]
- Little, A. G., Pamenter, M. E., Sitaraman, D., Templeman, N. M., Willmore, W. G., Hedrick, M. S. and Moyes, C. D. (2021). Utilizing comparative models in biomedical research. Comp. Biochem. Physiol. B Biochem. Mol. Biol. 255, 110593. 10.1016/j.cbpb.2021.110593 [DOI] [PMC free article] [PubMed] [Google Scholar]
- López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M. and Kroemer, G. (2013). The hallmarks of aging. Cell 153, 1194-1217. 10.1016/j.cell.2013.05.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lu, A. T., Fei, Z., Haghani, A., Robeck, T. R., Zoller, J. A., Li, C. Z., Lowe, R., Yan, Q., Zhang, J., Vu, H.et al. (2021). Universal DNA methylation age across mammalian tissues. bioRxiv 1, 85. 10.1101/2021.01.18.426733 [DOI] [PMC free article] [PubMed] [Google Scholar]
- McNally, B. D., Ashley, D. F., Hänschke, L., Daou, H. N., Watt, N. T., Murfitt, S. A., MacCannell, A. D. V., Whitehead, A., Bowen, T. S., Sanders, F. W. B.et al. (2022). Long-chain ceramides are cell non-autonomous signals linking lipotoxicity to endoplasmic reticulum stress in skeletal muscle. Nat. Commun. 13, 1748. 10.1038/s41467-022-29363-9 [DOI] [PMC free article] [PubMed] [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. 10.7554/eLife.62659 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nath, R. D., Bedbrook, C. N., Nagvekar, R., Deisseroth, K. and Brunet, A. (2022). Rapid and precise genome engineering in a naturally short-lived vertebrate. bioRxiv 1, 29. 10.1101/2022.05.25.493454 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ooi, F. K. and Prahlad, V. (2017). Olfactory experience primes the heat shock transcription factor HSF-1 to enhance the expression of molecular chaperones in C. elegans. Sci. Signal. 10, eaan4893. 10.1126/scisignal.aan4893 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ozbey, N. P., Imanikia, S., Krueger, C., Hardege, I., Morud, J., Sheng, M., Schafer, W. R., Casanueva, M. O. and Taylor, R. C. (2020). Tyramine acts downstream of neuronal XBP-1s to coordinate inter-tissue UPRER activation and behavior in C. elegans. Dev. Cell 55, 754-770.e6. 10.1016/j.devcel.2020.10.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Phifer-Rixey, M. and Nachman, M. W. (2015). Insights into mammalian biology from the wild house mouse Mus musculus. eLife 4, e05959. 10.7554/eLife.05959 [DOI] [PMC free article] [PubMed] [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. 10.1126/science.1156093 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Prakash, D., A, M. S., Radhika, B., Venkatesan, R., Chalasani, S. H. and Singh, V. (2021). 1–Undecene from Pseudomonas aeruginosa is an olfactory signal for flight–or–fight response in Caenorhabditis elegans. EMBO J. 40, e106938. 10.15252/embj.2020106938 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Roux, A. E., Yuan, H., Podshivalova, K., Hendrickson, D., Kerr, R., Kenyon, C. and Kelley, D. R. (2022). The complete cell atlas of an aging multicellular organism. bioRxiv 1, 59. 10.1101/2022.06.15.496201 [DOI] [Google Scholar]
- Sabath, N., Levy-Adam, F., Younis, A., Rozales, K., Meller, A., Hadar, S., Soueid-Baumgarten, S. and Shalgi, R. (2020). Cellular proteostasis decline in human senescence. Proc. Natl. Acad. Sci. U.S.A 117, 31902-31913. 10.1073/pnas.2018138117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stein, K. C., Morales-Polanco, F., van der Lienden, J., Rainbolt, T. K. and Frydman, J. (2022). Ageing exacerbates ribosome pausing to disrupt cotranslational proteostasis. Nature 601, 637-642. 10.1038/s41586-021-04295-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sun, S., Wang, Y., Maslov, A. Y., Dong, X. and Vijg, J. (2022). SomaMutDB: a database of somatic mutations in normal human tissues. Nucleic Acids Res. 50, D1100-D1108. 10.1093/nar/gkab914 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Swanson, C. J., Zhang, Y., Dhadda, S., Wang, J., Kaplow, J., Lai, R. Y. K., Lannfelt, L., Bradley, H., Rabe, M., Koyama, A.et al. (2021). A randomized, double-blind, phase 2b proof-of-concept clinical trial in early Alzheimer's disease with lecanemab, an anti-Aβ protofibril antibody. Alz Res Therapy 13, 80. 10.1186/s13195-021-00813-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tarkhov, A. E., Denisov, K. A. and Fedichev, P. O. (2022). Aging clocks, entropy, and the limits of age-reversal. bioRxiv 1, 12. 10.1101/2022.02.06.479300 [DOI] [Google Scholar]
- Taylor, R. C. and Dillin, A. (2013). XBP-1 is a cell-nonautonomous regulator of stress resistance and longevity. Cell 7, 1435-1447. 10.1016/j.cell.2013.05.042 [DOI] [PMC free article] [PubMed] [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. 10.1038/nrm3752 [DOI] [PMC free article] [PubMed] [Google Scholar]
- The Proteostasis Consortium, Overall coordination, Elsasser, S., Elia, L. P., Morimoto, R. I., Powers, E. T., Harvard Medical School group (analysis), Finley, D., University of California, San Francisco and Gladstone Institutes group I (chaperones, analysis). et al. (2022). A comprehensive enumeration of the human proteostasis network. 1. Components of translation, protein folding, and organelle-specific systems. bioRxiv 1, 20. 10.1101/2022.08.30.505920 [DOI] [Google Scholar]
- Urfer, S. R., Kaeberlein, T. L., Mailheau, S., Bergman, P. J., Creevy, K. E., Promislow, D. E. L. and Kaeberlein, M. (2017). A randomized controlled trial to establish effects of short-term rapamycin treatment in 24 middle-aged companion dogs. GeroScience 39, 117-127. 10.1007/s11357-017-9972-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, X., Jiang, Q., Song, Y., He, Z., Zhang, H., Song, M., Zhang, X., Dai, Y., Karalay, O., Dieterich, C.et al. (2022). Ageing induces tissue–specific transcriptomic changes in Caenorhabditis elegans. EMBO J. 41, e109633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Williams, K. W., Liu, T., Kong, X., Fukuda, M., Deng, Y., Berglund, E. D., Deng, Z., Gao, Y., Liu, T., Sohn, J.-W.et al. (2014). Xbp1s in pomc neurons connects ER stress with energy balance and glucose homeostasis. Cell Metab. 20, 471-482. 10.1016/j.cmet.2014.06.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wong, S. Q., Ryan, C. J. and Lapierre, L. R. (2022). Neuronal HLH-30/TFEB modulates muscle mitochondrial fragmentation to improve thermoresistance in C. elegans. Aging Cell 23, e13741. 10.1111/acel.13741 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yildirim, A. D., Citir, M., Dogan, A. E., Veli, Z., Yildirim, Z., Tufanli, O., Traynor-Kaplan, A., Schultz, C. and Erbay, E. (2022). ER stress-induced sphingosine-1-phosphate lyase phosphorylation potentiates the mitochondrial unfolded protein response. J. Lipid Res. 63, 100279. 10.1016/j.jlr.2022.100279 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang, Z., Tian, X., Lu, J. Y., Boit, K., Ablaeva, J., Tolibzoda Zakusilo, F., Emmrich, S., Firsanov, D., Rydkina, E., Biashad, S. A.et al. (2022). Naked mole-rat hyaluronan synthase 2 promotes longevity and enhances healthspan in mice. SSRN J 1, 65. [Google Scholar]


