The hoverfly and the wasp: A critique of the hallmarks of aging as a paradigm
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Abstract
With the goal of representing common denominators of aging in different organisms López-Otín et al. in 2013 described nine hallmarks of aging. Since then, this representation has become a major reference point for the biogerontology field. The template for the hallmarks of aging account originated from landmark papers by Hanahan and Weinberg (2000, 2011) defining first six and later ten hallmarks of cancer. Here we assess the strengths and weaknesses of the hallmarks of aging account. As a checklist of diverse major foci of current aging research, it has provided a useful shared overview for biogerontology during a time of transition in the field. It also seems useful in applied biogerontology, to identify interventions (e.g. drugs) that impact multiple symptomatic features of aging. However, while the hallmarks of cancer provide a paradigmatic account of the causes of cancer with profound explanatory power, the hallmarks of aging do not. A worry is that as a non-paradigm the hallmarks of aging have obscured the urgent need to define a genuine paradigm, one that can provide a useful basis for understanding the mechanistic causes of the diverse aging pathologies. We argue that biogerontology must look and move beyond the hallmarks to understand the process of aging.
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Cites
DNA methylation age of human tissues and cell types
Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075 · see citing works
Extension of Life-Span by Introduction of Telomerase into Normal Human Cells
Bodnar, A. G., Ouellette, M., Frolkis, M., Holt, S. E., Chiu, C.-P., Morin, G. B., Harley, C. B., Shay, J. W., Lichtsteiner, S., & Wright, W. E. (1998) · Science · doi:10.1126/science.279.5349.349 · Cited by 4,975 · see citing works
Aging, Cellular Senescence, and Cancer
Campisi, J. (2013) · Annual Review of Physiology · doi:10.1146/annurev-physiol-030212-183653 · Cited by 2,954 · cited 2× · see citing works
“…of ROS in telomere shortening and replicative senescence (Jagannathan et al., 2016), pointing instead to the importance in aging of in vivo accumulation of hyper-secretory senescent cells where neither a role of replicative senescence or telomere shortening is clearly implicated (Campisi, 2013).”
BackgroundGeroscience: Linking Aging to Chronic Disease
Kennedy, B. K., Berger, S. L., Brunet, A., Campisi, J., Cuervo, A. M., Epel, E. S., Franceschi, C., Lithgow, G. J., Morimoto, R. I., Pessin, J. E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.10.039 · Cited by 2,764 · see citing works
Senescent cells: an emerging target for diseases of ageing
Childs, B. G., Gluscevic, M., Baker, D. J., Laberge, R.-M., Marquess, D., Dananberg, J., & van Deursen, J. M. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.116 · Cited by 1,284 · see citing works
The central role of DNA damage in the ageing process
Schumacher, B., Pothof, J., Vijg, J., & Hoeijmakers, J. H. J. (2021) · Nature · doi:10.1038/s41586-021-03307-7 · Cited by 907 · cited 1× · see citing works
“For some the current evidence is quite good, and genomic instability due to defects in DNA repair can lead to segmental progeroid syndromes in mice and men (Freitas & de Magalhaes 2011; Niedernhofer et al. 2018; Schumacher et al. 2021).”
BackgroundImmunosenescence: emerging challenges for an ageing population
Aw, D., Silva, A. B., & Palmer, D. B. (2007) · Immunology · doi:10.1111/j.1365-2567.2007.02555.x · Cited by 880 · see citing works
Mild hyperoxia shortens telomeres and inhibits proliferation of fibroblasts: a model for senescence?
von Zglinicki, T., Saretzki, G., Döcke, W., & Lotze, C. (1995) · Experimental Cell Research · doi:10.1006/excr.1995.1305 · Cited by 856 · see citing works
Selman, C., Lingard, S., Choudhury, A. I., Batterham, R. L., Claret, M., Clements, M., Ramadani, F., Okkenhaug, K., Schuster, E., Blanc, E., et al. (2008) · The FASEB Journal · doi:10.1096/fj.07-9261com · Cited by 532 · see citing works
Self-citationHuman T Cell Aging and the Impact of Persistent Viral Infections
Fülöp, T., Larbi, A., & Pawelec, G. (2013) · Frontiers in Immunology · doi:10.3389/fimmu.2013.00271 · Cited by 347 · see citing works
Stress, cell senescence and organismal ageing
de Magalhães, J. P., & Passos, J. F. (2018) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2017.07.001 · Cited by 316 · see citing works
Hayflick, L. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030220 · Cited by 260 · see citing works
de Magalhães, J. P. (2014) · Cell Cycle · doi:10.4161/15384101.2014.950151 · Cited by 56 · see citing works
Open-minded scepticism: inferring the causal mechanisms of human ageing from genetic perturbations
de Magalhães, J. P. (2005) · Ageing Research Reviews · doi:10.1016/j.arr.2004.05.003 · Cited by 54 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
New hallmarks of ageing: a 2022 Copenhagen ageing meeting summary
Schmauck-Medina, T., Molière, A., Lautrup, S., Zhang, J., Chlopicki, S., Madsen, H. B., Cao, S., Soendenbroe, C., Mansell, E., Vestergaard, M. B., et al. (2022) · Aging · doi:10.18632/aging.204248 · Cited by 319 · see citing works
A complex systems approach to aging biology
Cohen, A. A., Ferrucci, L., Fülöp, T., Gravel, D., Hao, N., Kriete, A., Levine, M. E., Lipsitz, L. A., Olde Rikkert, M. G. M., Rutenberg, A., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00252-6 · Cited by 221 · see citing works
Vorinostat attenuates UVB-induced skin senescence by modulating NF-κB and mTOR signaling pathways
Dai, Q., Wang, Z., Wang, X., Lian, W., Ge, Y., Song, S., Li, F., Zhao, B., Li, L., Wang, X., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-95624-4 · Cited by 17 · see citing works
- Authors
- Gems, D., & de Magalhães, J. P.
- Affiliations
- University College London (GB)
- Corresponding author
- Gems, David
- Venue
- Ageing Research Reviews
- Publisher
- Elsevier BV
- Published
- 2021-09
- Volume
- 70
- Pages
- 101407
- ISSN
- 1568-1637 (ISSN-L)
- PMC
- PMC7611451
- OpenAlex
- W3177774907
- Cited by
- 134
- References
- 14
- Citations by year
- 2026: 18 · 2025: 15 · 2024: 36 · 2023: 27 · 2022: 33 · 2021: 5
- FWCI
- 2.06
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Ageing Research Reviews (publishedVersion)
- Preprints.org (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (publishedVersion, cc-by-nc-nd)
- PubMed Central (acceptedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (208375/Z/17/Z)
- Biotechnology and Biological Sciences Research Council (BB/R014949/1, 098565/Z/12/Z, 215574/Z/19/Z)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Keywords
- hallmarks of aging, cancer hallmarks, biogerontology, paradigm shift, aging interventions
- MeSH terms
- Aging, Animals, Geriatrics, Humans, Neoplasms, Wasps
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