Genes and gene expression modules associated with caloric restriction and aging in the laboratory mouse
Open accessAbstract
BACKGROUND: Caloric restriction (CR) counters deleterious effects of aging and, for most mouse genotypes, increases mean and maximum lifespan. Previous analyses of microarray data have identified gene expression responses to CR that are shared among multiple mouse tissues, including the activation of anti-oxidant, tumor suppressor and anti-inflammatory pathways. These analyses have provided useful research directions, but have been restricted to a limited number of tissues, and have focused on individual genes, rather than whole-genome transcriptional networks. Furthermore, CR is thought to oppose age-associated gene expression patterns, but detailed statistical investigations of this hypothesis have not been carried out. RESULTS: Systemic effects of CR and aging were identified by examining transcriptional responses to CR in 17 mouse tissue types, as well as responses to aging in 22 tissues. CR broadly induced the expression of genes known to inhibit oxidative stress (e.g., Mt1, Mt2), inflammation (e.g., Nfkbia, Timp3) and tumorigenesis (e.g., Txnip, Zbtb16). Additionally, a network-based investigation revealed that CR regulates a large co-expression module containing genes associated with the metabolism and splicing of mRNA (e.g., Cpsf6, Sfpq, Sfrs18). The effects of aging were, to a considerable degree, similar among groups of co-expressed genes. Age-related gene expression patterns characteristic of most mouse tissues were identified, including up regulation of granulin (Grn) and secreted phosphoprotein 1 (Spp1). The transcriptional association between CR and aging varied at different levels of analysis. With respect to gene subsets associated with certain biological processes (e.g., immunity and inflammation), CR opposed age-associated expression patterns. However, among all genes, global transcriptional effects of CR were only weakly related to those of aging. CONCLUSION: The study of aging, and of interventions thought to combat aging, has much to gain from data-driven and unbiased genomic investigations. Expression patterns identified in this analysis characterize a generalized response of mammalian cells to CR and/or aging. These patterns may be of importance in determining effects of CR on overall lifespan, or as factors that underlie age-related disease. The association between CR and aging warrants further study, but most evidence indicates that CR does not induce a genome-wide "reversal" of age-associated gene expression patterns.
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These findings were further confirmed via subsequent microarray studies, as well as network-based investigations.
“These findings were further confirmed via subsequent microarray studies, as well as network-based investigations (Swindell, 2009).”
From Microglia Priming with Aging and Stress (2017) · cites this paper as Swindell, 2009
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Evidence for a direct role of the disease modifier SCNM1 in splicing
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Screening Candidate Longevity Therapeutics Using Gene-Expression Arrays
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Transcriptome analysis of age-, gender- and diet-associated changes in murine thymus
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Transcriptome analysis of murine thymocytes reveals age-associated changes in thymic gene expression
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Genes regulated by caloric restriction have unique roles within transcriptional networks
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Self-citationDietary sucrose enhances processing of mRNA-S14 nuclear precursor.
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Melatonin treatment in old mice enables a more youthful response to LPS in the brain
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Microglia Priming with Aging and Stress
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Restricted diet delays accelerated ageing and genomic stress in DNA-repair-deficient mice
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Robust shifts in S100a9 expression with aging: A novel mechanism for chronic inflammation
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Metabolic reprogramming: a bridge between aging and tumorigenesis
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- Authors
- Swindell, W. R.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Swindell, William R
- ORCID
- Swindell, William R
- Venue
- BMC Genomics
- Published
- 2009
- Volume
- 10
- Issue
- 1
- Pages
- 585
- ISSN
- 1471-2164 (ISSN-L)
- PMC
- PMC2795771
- OpenAlex
- W1995217137
- Cited by
- 171
- References
- 111
- Citations by year
- 2026: 7 · 2025: 3 · 2024: 6 · 2023: 15 · 2022: 18 · 2021: 9 · 2020: 9 · 2019: 14 · 2018: 11 · 2017: 10 · 2016: 10 · 2015: 6 · 2014: 6 · 2013: 12 · 2012: 16
- FWCI
- 3.58
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Genomics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institutes of Health (AG000114, 2t32ar007197-46a1)
- National Institute on Aging (AG 000114, T32AG000114)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (T32-AR007197)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Health Sciences › Medicine › Geriatrics and Gerontology › Sirtuins and Resveratrol in Medicine
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- caloric restriction, aging, gene expression, transcriptional regulatory networks, gene co-expression modules, oxidative stress, inflammation, tumor suppression, mRNA splicing, lifespan, mouse tissues, granulin, osteopontin
- MeSH terms
- Aging, Animals, Animals, Laboratory, Gene Expression Regulation, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Caloric Restriction, Mice
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.
Statistics and arithmetic are recomputed, not judged.
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