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Extended Longevity in Mice Lacking the Insulin Receptor in Adipose Tissue
Abstract
Caloric restriction has been shown to increase longevity in organisms ranging from yeast to mammals. In some organisms, this has been associated with a decreased fat mass and alterations in insulin/insulin-like growth factor 1 (IGF-1) pathways. To further explore these associations with enhanced longevity, we studied mice with a fat-specific insulin receptor knockout (FIRKO). These animals have reduced fat mass and are protected against age-related obesity and its subsequent metabolic abnormalities, although their food intake is normal. Both male and female FIRKO mice were found to have an increase in mean life-span of ∼134 days (18%), with parallel increases in median and maximum life-spans. Thus, a reduction of fat mass without caloric restriction can be associated with increased longevity in mice, possibly through effects on insulin signaling.
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Studies with genetically modified mice, as well as by means of ectopic treatments, have proved that it is possible to ameliorate various age-related parameters (health-span), which is often accompanied by an increase of life-span.
“Studies with genetically modified mice, as well as by means of ectopic treatments, have proved that it is possible to ameliorate various age-related parameters (the so-called ‘health-span’), which is often accompanied by an increase of life-span (Bluher et al, 2003; Conboy et al, 2005; Flurkey et al, 2001; Harrison et al, 2009; Holzenberger et al, 2003; Tomas-Loba et al, 2008).”
From Telomerase gene therapy in adult and old mice delays aging and increases longevity without increasing cancer (2012) · cites this paper as Bluher et al, 2003
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Lehallier, B., Shokhirev, M. N., Wyss‐Coray, T., & Johnson, A. A. (2020) · Aging Cell · doi:10.1111/acel.13256 · Cited by 106
Lifespan extension in genetically modified mice
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‘Accelerated aging’: a primrose path to insight?
Miller, R. A. (2004) · Aging Cell · doi:10.1111/j.1474-9728.2004.00081.x · Cited by 87
Genetic evidence that carbohydrate-stimulated insulin secretion leads to obesity
Astley, C. M., Todd, J. N., Salem, R. M., Vedantam, S., Ebbeling, C. B., Huang, P. L., Ludwig, D. S., Hirschhorn, J. N., & Florez, J. C. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2017.280727 · Cited by 86
Contributions of DNA interstrand cross-links to aging of cells and organisms
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Adipokines and Aging: Findings From Centenarians and the Very Old
Arai, Y., Kamide, K., & Hirose, N. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00142 · Cited by 71
Liu, D., Zhang, Y., Gharavi, R., Park, H. R., Lee, J., Siddiqui, S., Telljohann, R., Nassar, M. R., Cutler, R. G., Becker, K. G., et al. (2015) · Journal of Neurochemistry · doi:10.1111/jnc.13176 · Cited by 68
“…were suppressed, and Foxo3a was up-regulated transiently in the cerebral cortex in response to DNP. Down-regulation of insulin receptor signaling may contribute to the mechanism whereby caloric restriction extends longevity in animal models of aging (Bl€uher et al. 2003; Mercken et al. 2013).”
BackgroundRevisiting an age-old question regarding oxidative stress
Edrey, Y. H., & Salmon, A. B. (2014) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2014.03.038 · Cited by 64
The role of insulin and insulin-like growth factor-I in mammalian ageing
Richardson, A., Liu, F., Adamo, M. L., Remmen, H. V., & Nelson, J. F. (2004) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2004.02.002 · Cited by 64
Metadata
- Authors
- Blüher, M., Kahn, B. B., & Kahn, C. R.
- Venue
- Science
- Published
- 2003-01-24
- Volume
- 299
- Issue
- 5606
- Pages
- 572-574
- ISSN
- 0036-8075
- 1095-9203
- Cited by
- 1,155
- References
- 2
- Language
- en
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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