Energy expenditure and aging
Open accessAbstract
The study of energy expenditure (EE) has deep roots in understanding aging and lifespan in all species. In humans, total EE decreases substantially in advanced age resulting from parallel changes in resting metabolic rate (RMR) and activity EE. For RMR, this reduction appears to be due to a reduction in organ mass and specific metabolic rates of individual tissues. However, these anatomical changes explain very little regarding the decline in activity EE, which is governed by both genetic and environmental sources. The biological control centers for activity EE are closely coupled with body mass fluctuations and seem to originate in the brain. Several candidate neuromodulators may be involved in the age-related reduction of activity EE that include: orexin, agouti-related proteins and dopaminergic pathways. Unfortunately, the existing body of research has primarily focused on how neuromodulators influence weight gain and only a few studies have been performed in aging models. Recent evidence suggests that activity EE has an important role in dictating lifespan and thus places emphasis on future research to uncover the underlying biological mechanisms. The study of EE continues to unlock clues to aging.
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Aging is generally associated with a reduction in overall physical activity.
“Aging is generally associated with a reduction in overall physical activity [103].”
From Targeting Intramyocellular Lipids to Improve Aging Muscle Function (2025) · cites this paper as [103]
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“Aging is generally associated with a reduction in overall physical activity [103].”
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- Authors
- Manini, T. M.
- Affiliations
- University of Florida (US)
- Corresponding author
- Manini, Todd M.
- ORCID
- Manini, Todd M.
- Venue
- Ageing Research Reviews
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 9
- Issue
- 1
- Pages
- 1-11
- ISSN
- 1568-1637 (ISSN-L)
- PMC
- PMC2818133
- OpenAlex
- W2086367664
- Cited by
- 280
- References
- 124
- Citations by year
- 2026: 16 · 2025: 20 · 2024: 22 · 2023: 26 · 2022: 26 · 2021: 21 · 2020: 23 · 2019: 28 · 2018: 11 · 2017: 15 · 2016: 14 · 2015: 12 · 2014: 12 · 2013: 13 · 2012: 7
- FWCI
- 0.66
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Ageing Research Reviews (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (N01‐AG‐6–2101, N01AG62106, N01-AG-62103, P30AG028740)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Health Sciences › Medicine › Physiology › Adipose Tissue and Metabolism
- Keywords
- energy expenditure, aging, resting metabolic rate, physical activity energy expenditure, lifespan, neuromodulators, orexin, agouti-related protein, dopaminergic pathways, body mass, weight gain, organ mass
- MeSH terms
- Orexins, Aging, Body Composition, Body Weight, Dopamine, Energy Metabolism, Humans, Longevity, Neuropeptides, Weight Gain, Body Mass Index, Intracellular Signaling Peptides and Proteins, Agouti-Related Protein
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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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