The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Long‐term effects of calorie or protein restriction on serum IGF‐1 and IGFBP‐3 concentration in humans
Open accessAbstract
Summary: Reduced function mutations in the insulin/IGF‐I signaling pathway increase maximal lifespan and health span in many species. Calorie restriction (CR) decreases serum IGF‐1 concentration by ~40%, protects against cancer and slows aging in rodents. However, the long‐term effects of CR with adequate nutrition on circulating IGF‐1 levels in humans are unknown. Here we report data from two long‐term CR studies (1 and 6 years) showing that severe CR without malnutrition did not change IGF‐1 and IGF‐1 : IGFBP‐3 ratio levels in humans. In contrast, total and free IGF‐1 concentrations were significantly lower in moderately protein‐restricted individuals. Reducing protein intake from an average of 1.67 g kg−1 of body weight per day to 0.95 g kg−1 of body weight per day for 3 weeks in six volunteers practicing CR resulted in a reduction in serum IGF‐1 from 194 ng mL−1 to 152 ng mL−1. These findings demonstrate that, unlike in rodents, long‐term severe CR does not reduce serum IGF‐1 concentration and IGF‐1 : IGFBP‐3 ratio in humans. In addition, our data provide evidence that protein intake is a key determinant of circulating IGF‐1 levels in humans, and suggest that reduced protein intake may become an important component of anticancer and anti‐aging dietary interventions.
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Cites
IGF-1 receptor regulates lifespan and resistance to oxidative stress in mice
Holzenberger, M., Dupont, J., Ducos, B., Leneuve, P., Géloën, A., Even, P. C., Cervera, P., & Le Bouc, Y. (2003) · Nature · doi:10.1038/nature01298 · Cited by 2,109
Suppression of Aging in Mice by the Hormone Klotho
Kurosu, H., Yamamoto, M., Clark, J. D., Pastor, J. V., Nandi, A., Gurnani, P., McGuinness, O. P., Chikuda, H., Yamaguchi, M., Kawaguchi, H., et al. (2005) · Science · doi:10.1126/science.1112766 · Cited by 1,935
The plasticity of aging: insights from long-lived mutants
Kenyon, C. (2005) · Cell · doi:10.1016/j.cell.2005.02.002 · Cited by 1,338
Long-term caloric restriction ameliorates the decline in diastolic function in humans
Meyer, T. E., Kovács, S. J., Ehsani, A. A., Klein, S., Holloszy, J. O., & Fontana, L. (2006) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2005.08.069 · Cited by 383
Self-citationEndocrine regulation of ageing
Russell, S. J., & Kahn, C. R. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2234 · Cited by 356
Weiss, E. P., Racette, S. B., Villareal, D. T., Fontana, L., Steger-May, K., Schechtman, K. B., Klein, S., & Holloszy, J. O. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.5.1033 · Cited by 353
Self-citationSonntag, W. E., Lynch, C. D., Cefalu, W. T., Ingram, R. L., Bennett, S. A., Thornton, P. L., & Khan, A. S. (1999) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/54.12.b521 · Cited by 229
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Metadata
- Authors
- Fontana, L., Weiss, E. P., Villareal, D. T., Klein, S., & Holloszy, J. O.
- Venue
- Aging Cell
- Publisher
- Wiley
- Published
- 2008-09-17
- Volume
- 7
- Issue
- 5
- Pages
- 681-687
- ISSN
- 1474-9718 (ISSN-L)
- 1474-9726
- OpenAlex
- W1970937302
- Cited by
- 393
- References
- 7
- FWCI
- 15.03
- Type
- journal article
- Language
- en
- Open access
- bronze
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