The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
The genetics of ageing
Abstract
The nematode Caenorhabditis elegans ages and dies in a few weeks, but humans can live for 100 years or more. Assuming that the ancestor we share with nematodes aged rapidly, this means that over evolutionary time mutations have increased lifespan more than 2,000-fold. Which genes can extend lifespan? Can we augment their activities and live even longer? After centuries of wistful poetry and wild imagination, we are now getting answers, often unexpected ones, to these fundamental questions.
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“Genome wide expression profiling studies have identified several genes and biological pathways affected by aging (Bishop et al. 2010, Lopez-Otin et al. 2013, Kenyon 2010, Yankner et al. 2008).”
From miR‐186 is decreased in aged brain and suppresses BACE 1 expression (2016) · cites this paper as Kenyon 2010
In the citing paper
“Genetic polymorphisms or mutations that reduce the functions of GH, IGF-1 receptor, insulin receptor or downstream intracellular effectors such as AKT, mTOR and FOXO, have been linked to longevity, both in humans and in model organisms”
From The Hallmarks of Aging (2013) · cites this paper as Kenyon, 2010
In the citing paper
“autophagy induction is probably not the sole mechanism through which a healthy lifestyle can retard aging”
From The Hallmarks of Aging (2013) · cites this paper as Kenyon, 2010
In the citing paper
“Remarkably, the IIS pathway is the most conserved aging-controlling pathway in evolution”
From The Hallmarks of Aging (2013) · cites this paper as Kenyon, 2010
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“In vitro experiments show that mutations that reduce insulin/IGF-1 signaling have been shown to decelerate the degenerative aging process and extend lifespan in many organisms, including mice and possibly humans.”
From GHK and DNA: Resetting the human genome to health (2014) · cites this paper as [63]
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Cites
Rapamycin fed late in life extends lifespan in genetically heterogeneous mice
Harrison, D. E., Strong, R., Sharp, Z. D., Nelson, J. F., Astle, C. M., Flurkey, K., Nadon, N. L., Wilkinson, J. E., Frenkel, K., Carter, C. S., et al. (2009) · Nature · doi:10.1038/nature08221 · Cited by 3,766
A C. elegans mutant that lives twice as long as wild type
Kenyon, C., Chang, J., Gensch, E., Rudner, A., & Tabtiang, R. (1993) · Nature · doi:10.1038/366461a0 · Cited by 3,387
Self-citationCaloric Restriction Delays Disease Onset and Mortality in Rhesus Monkeys
Colman, R. J., Anderson, R. M., Johnson, S. C., Kastman, E. K., Kosmatka, K. J., Beasley, T. M., Allison, D. B., Cruzen, C., Simmons, H. A., Kemnitz, J. W., et al. (2009) · Science · doi:10.1126/science.1173635 · Cited by 2,277
Absence of S6K1 protects against age- and diet-induced obesity while enhancing insulin sensitivity
Um, S. H., Frigerio, F., Watanabe, M., Picard, F., Joaquin, M., Sticker, M., Fumagalli, S., Allegrini, P. R., Kozma, S. C., Auwerx, J., et al. (2004) · Nature · doi:10.1038/nature02866 · Cited by 1,677
Increased Wnt signaling during aging alters muscle stem cell fate and increases fibrosis
Brack, A. S., Conboy, M. J., Roy, S., Lee, M., Kuo, C. J., Keller, C., & Rando, T. A. (2007) · Science · doi:10.1126/science.1144090 · Cited by 1,564
Sir2 mediates longevity in the fly through a pathway related to calorie restriction
Rogina, B., & Helfand, S. L. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0404184101 · Cited by 1,361
The plasticity of aging: insights from long-lived mutants
Kenyon, C. (2005) · Cell · doi:10.1016/j.cell.2005.02.002 · Cited by 1,338
Self-citationRegulation of lifespan in Drosophila by modulation of genes in the TOR signaling pathway
Kapahi, P., Zid, B. M., Harper, T., Koslover, D., Sapin, V., & Benzer, S. (2004) · Current Biology · doi:10.1016/j.cub.2004.03.059 · Cited by 1,293
Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrients
Kaeberlein, M., Powers, R. W., Steffen, K. K., Westman, E. A., Hu, D., Dang, N., Kerr, E. O., Kirkland, K. T., Fields, S., & Kennedy, B. K. (2005) · Science · doi:10.1126/science.1115535 · Cited by 1,293
Autophagy Genes Are Essential for Dauer Development and Life-Span Extension in C. elegans
Meléndez, A., Tallóczy, Z., Seaman, M., Eskelinen, E.-L., Hall, D. H., & Levine, B. (2003) · Science · doi:10.1126/science.1087782 · Cited by 1,270
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- Li, Y., Xu, W., McBurney, M. W. & Longo, V. D. SirT1 inhibition reduces IGF-I/IRS-2/Ras/ERK1/2 signaling and protects neurons. Cell Metab. 8, 38–48 (2008). · DOI · Paper page
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Ribezzo, F., Shiloh, Y., & Schumacher, B. (2016) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2015.12.005 · Cited by 116
The pathophysiology of defective proteostasis in the hypothalamus — from obesity to ageing
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hNAG-1 increases lifespan by regulating energy metabolism and insulin/IGF-1/mTOR signaling
Wang, X., Chrysovergis, K., Kosak, J., Kissling, G., Streicker, M., Moser, G., Li, R., & Eling, T. E. (2014) · Aging · doi:10.18632/aging.100687 · Cited by 106
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Kim, K. H., Choi, S., Zhou, Y., Kim, E. Y., Lee, J. M., Saha, P. K., Anakk, S., & Moore, D. D. (2017) · Hepatology · doi:10.1002/hep.29199 · Cited by 107
miR‐186 is decreased in aged brain and suppresses BACE 1 expression
Kim, J., Yoon, H., Chung, D., Brown, J. L., Belmonte, K. C., & Kim, J. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13507 · Cited by 102
Proteasome activation delays aging in vitro and in vivo
Chondrogianni, N., Sakellari, M., Lefaki, M., Papaevgeniou, N., & Gonos, E. S. (2014) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2014.03.031 · Cited by 94
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McCauley, B. S., & Dang, W. (2014) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2014.05.008 · Cited by 93
Long-term p110α PI3K inactivation exerts a beneficial effect on metabolism
Foukas, L. C., Bilanges, B., Bettedi, L., Pearce, W., Ali, K., Sancho, S., Withers, D. J., & Vanhaesebroeck, B. (2013) · EMBO Molecular Medicine · doi:10.1002/emmm.201201953 · Cited by 91
Ma, S., Upneja, A., Galecki, A., Tsai, Y.-M., Burant, C. F., Raskind, S., Zhang, Q., Zhang, Z. D., Seluanov, A., Gorbunova, V., et al. (2016) · eLife · doi:10.7554/elife.19130 · Cited by 89
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Seals, D. R., & Melov, S. (2014) · Aging · doi:10.18632/aging.100694 · Cited by 90
Differentiation Drives Widespread Rewiring of the Neural Stem Cell Chaperone Network
Vonk, W. I. M., Rainbolt, T. K., Dolan, P. T., Webb, A. E., Brunet, A., & Frydman, J. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.03.009 · Cited by 84
Honda, Y., Higashibata, A., Matsunaga, Y., Yonezawa, Y., Kawano, T., Higashitani, A., Kuriyama, K., Shimazu, T., Tanaka, M., Szewczyk, N. J., et al. (2012) · Scientific Reports · doi:10.1038/srep00487 · Cited by 87
Genetic evidence for common pathways in human age‐related diseases
Johnson, S. C., Dong, X., Vijg, J., & Suh, Y. (2015) · Aging Cell · doi:10.1111/acel.12362 · Cited by 78
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Brinkmann, V., Ale-Agha, N., Haendeler, J., & Ventura, N. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2019.01561 · Cited by 71
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Cӑtoi, A. F., Corina, A., Katsiki, N., Vodnar, D. C., Andreicuț, A. D., Stoian, A. P., Rizzo, M., & Pérez-Martínez, P. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2020.165765 · Cited by 70
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Partridge, L. (2014) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2014.08.003 · Cited by 69
Protein homeostasis and aging: Role of ubiquitin protein ligases
Jana, N. R. (2012) · Neurochemistry International · doi:10.1016/j.neuint.2012.02.009 · Cited by 67
Shavlakadze, T., Zhu, J., Wang, S., Zhou, W., Morin, B., Egerman, M. A., Fan, L., Wang, Y., Iartchouk, O., Meyer, A., et al. (2018) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glx249 · Cited by 59
Ubiquitin sets the timer: impacts on aging and longevity
Kevei, É., & Hoppe, T. (2014) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2806 · Cited by 61
Yi, R., Lin, A., Cao, M., Xu, A., Luo, P., & Zhang, J. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00933 · Cited by 60
Lodato, M. A., & Walsh, C. A. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz191 · Cited by 56
Mindspan: lessons from rat models of neurocognitive aging
Gallagher, M., Stocker, A. M., & Koh, M. T. (2011) · ILAR Journal · doi:10.1093/ilar.52.1.32 · Cited by 53
C/EBPα deficiency in podocytes aggravates podocyte senescence and kidney injury in aging mice
Zhang, L., Zhou, F., Yu, X., Zhu, Y., Zhou, Y., Liu, J., Liu, Y., Ma, Q., Zhang, Y., Wang, W., et al. (2019) · Cell Death & Disease · doi:10.1038/s41419-019-1933-2 · Cited by 48
Mitochondrial turnover and homeostasis in ageing and neurodegeneration
Markaki, M., & Tavernarakis, N. (2020) · FEBS Letters · doi:10.1002/1873-3468.13802 · Cited by 50
p53: Pro-aging or pro-longevity?
de Keizer, P. L. J., Laberge, R.-M., & Campisi, J. (2010) · Aging · doi:10.18632/aging.100178 · Cited by 48
Kumar, A., Christian, P. K., Panchal, K., Guruprasad, B. R., & Tiwari, A. K. (2017) · Journal of Dietary Supplements · doi:10.1080/19390211.2016.1275917 · Cited by 44
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Bareja, A., Lee, D. E., & White, J. P. (2019) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2019.00183 · Cited by 41
Wang, Z., Ma, X., Li, J., & Cui, X. (2016) · Experimental Gerontology · doi:10.1016/j.exger.2016.07.001 · Cited by 39
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Pickart, L., Vasquez-Soltero, J. M., & Margolina, A. (2014) · BioMed Research International · doi:10.1155/2014/151479 · Cited by 39
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Marzioni, M., Pinto, C., Ninfole, E., Gaggiano, L., Benedetti, A., & Maroni, L. (2020) · Seminars in Liver Disease · doi:10.1055/s-0039-3402033 · Cited by 36
Quinolinic acid and glutamatergic neurodegeneration in Caenorhabditis elegans
da Silveira, T. L., Zamberlan, D. C., Arantes, L. P., Machado, M. L., da Silva, T. C., Câmara, D. D. F., Santamaría, A., Aschner, M., & Soares, F. A. A. (2018) · NeuroToxicology · doi:10.1016/j.neuro.2018.04.015 · Cited by 30
Barriers to the Preclinical Development of Therapeutics that Target Aging Mechanisms: Table 1.
Burd, C. E., Gill, M. S., Niedernhofer, L. J., Robbins, P. D., Austad, S. N., Barzilai, N., & Kirkland, J. L. (2016) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glw112 · Cited by 28
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Swer, P. B., & Sharma, R. (2021) · Biogerontology · doi:10.1007/s10522-020-09899-3 · Cited by 25
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Jiang, Z., He, Q., Wezeman, J., Darvas, M., & Ladiges, W. (2024) · GeroScience · doi:10.1007/s11357-024-01198-w · Cited by 10
Metadata
- Authors
- Kenyon, C. J.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Kenyon, Cynthia J.
- ORCID
- Kenyon, Cynthia J.
- Venue
- Nature
- Published
- 2010-03-24
- Volume
- 464
- Issue
- 7288
- Pages
- 504-512
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2058484936
- Cited by
- 2,739
- References
- 104
- Citations by year
- 2026: 106 · 2025: 115 · 2024: 130 · 2023: 128 · 2022: 149 · 2021: 182 · 2020: 198 · 2019: 189 · 2018: 173 · 2017: 185 · 2016: 190 · 2015: 194 · 2014: 202 · 2013: 197 · 2012: 181
- FWCI
- 15.05
- Type
- journal article
- Language
- en
- Update notices
- erratum (2010-09-29)
- Open access
- closed
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Tokyo Center for Economic Research
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- aging, lifespan extension, Caenorhabditis elegans, longevity genes, human lifespan
- MeSH terms
- Aging, Animals, Humans, Insulin, Insulin-Like Growth Factor I, Longevity, Transferases, Signal Transduction, Cell Respiration
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