Disease drivers of aging
Open accessAbstract
It has long been known that aging, at both the cellular and organismal levels, contributes to the development and progression of the pathology of many chronic diseases. However, much less research has examined the inverse relationship—the contribution of chronic diseases and their treatments to the progression of aging‐related phenotypes. Here, we discuss the impact of three chronic diseases (cancer, HIV/AIDS, and diabetes) and their treatments on aging, putative mechanisms by which these effects are mediated, and the open questions and future research directions required to understand the relationships between these diseases and aging.
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Many researchers propose inflammageing is a marker of accelerated ageing and one of the pillars of the biology of ageing.
“On the basis of these findings, many researchers have proposed that inflammageing is a marker of accelerated ageing and should be considered to be one of the pillars of the biology of ageing20.”
From Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty (2018) · cites this paper as [20]
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Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
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- Authors
- Hodes, R. J., Sierra, F., Austad, S. N., Epel, E., Neigh, G. N., Erlandson, K. M., Schafer, M. J., LeBrasseur, N. K., Wiley, C., Campisi, J., Sehl, M. E., Scalia, R., Eguchi, S., Kasinath, B. S., Halter, J. B., Cohen, H. J., Demark‐Wahnefried, W., Ahles, T. A., Barzilai, N., Hurria, A., & Hunt, P. W.
- Affiliations
- National Institutes of Health (US)
- University of Alabama at Birmingham (US)
- University of California, San Francisco (US)
- Virginia Commonwealth University (US)
- University of Colorado Anschutz (US)
- Mayo Clinic (US)
- Buck Institute for Research on Aging (US)
- University of California, Los Angeles (US)
- Temple University (US)
- South Texas Veterans Health Care System (US)
- University of Michigan (US)
- Duke University (US)
- Memorial Sloan Kettering Cancer Center (US)
- Albert Einstein College of Medicine (US)
- City Of Hope National Medical Center (US)
- Corresponding author
- Hodes, Richard J.
- ORCID
- Hodes, Richard J.
- Sierra, Felipe
- Austad, Steven N.
- Epel, Elissa
- Neigh, Gretchen N.
- Erlandson, Kristine M.
- Schafer, Marissa J.
- LeBrasseur, Nathan K.
- Wiley, Christopher
- Campisi, Judith
- Sehl, Mary E.
- Scalia, Rosario
- Eguchi, Satoru
- Kasinath, Balakuntalam S.
- Cohen, Harvey Jay
- Demark‐Wahnefried, Wendy
- Ahles, Tim A.
- Barzilai, Nir
- Hurria, Arti
- Hunt, Peter W.
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2016-12
- Volume
- 1386
- Issue
- 1
- Pages
- 45-68
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- PMC
- PMC5373660
- OpenAlex
- W2566877989
- Cited by
- 132
- References
- 161
- Citations by year
- 2026: 11 · 2025: 9 · 2024: 15 · 2023: 10 · 2022: 14 · 2021: 28 · 2020: 14 · 2019: 10 · 2018: 11 · 2017: 8 · 2016: 1 · 2015: 1
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annals of the New York Academy of Sciences (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Veterans Affairs (I01BX001340)
- National Institute on Aging (K23AG050260, P30AG038072, R13AG053043, P30AG050886)
- National Heart, Lung, and Blood Institute (R01HL133248)
- National Cancer Institute (P30CA008748)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK079626)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Keywords
- aging, chronic disease, cancer, HIV/AIDS, diabetes mellitus, disease progression, cellular aging
- MeSH terms
- Acquired Immunodeficiency Syndrome, Aging, Chronic Disease, Diabetes Mellitus, Humans, Neoplasms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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