Low insulin-like growth factor-1 level predicts survival in humans with exceptional longevity
Article first published online: 12 MAR 2014
© 2014 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Volume 13, Issue 4, pages 769–771, August 2014
How to Cite
Milman, S., Atzmon, G., Huffman, D. M., Wan, J., Crandall, J. P., Cohen, P. and Barzilai, N. (2014), Low insulin-like growth factor-1 level predicts survival in humans with exceptional longevity. Aging Cell, 13: 769–771. doi: 10.1111/acel.12213
- Issue published online: 29 JUL 2014
- Article first published online: 12 MAR 2014
- Manuscript Accepted: 2 FEB 2014
- NIA. Grant Numbers: R00AG037574, 1P01AG034906, R01AG046949, 1R01 AG042188, P30AG038072
- NIH. Grant Number: R37AG18381
- Einstein Glenn Center
- Paul Glenn Foundation
- CTSA. Grant Number: KL2TR000088
- insulin-like growth factor 1;
Attenuated growth hormone and insulin-like growth factor-1 (GH/IGF-1) signaling is associated with extended lifespan in several animal models. However, the effect of diminished GH/IGF-1 activity on survival in humans has not been confirmed. We tested the hypothesis that IGF-1 levels in nonagenarians (n = 184), measured at study enrollment, predict the duration of their incremental survival. In the Kaplan–Meier analysis, females with IGF-1 levels below the median (≤ 96 ng mL−1) had significantly longer survival compared with females with levels above the median, P < 0.01. However, this survival advantage was not observed in males (P = 0.83). On the other hand, in both males and females with a history of cancer, lower IGF-1 levels predicted longer survival (P < 0.01). IGF-1 level remained a significant predictor of survival duration in linear regression models after multivariable adjustment in females (P = 0.01) and individuals with a history of cancer (P < 0.01). We show for the first time that low IGF-1 levels predict life expectancy in exceptionally long-lived individuals.