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低胰岛素样生长因子-1水平可预测人类超长寿命者的生存情况。

Low insulin-like growth factor-1 level predicts survival in humans with exceptional longevity.

作者信息

Milman Sofiya, Atzmon Gil, Huffman Derek M, Wan Junxiang, Crandall Jill P, Cohen Pinchas, Barzilai Nir

机构信息

Department of Medicine, Division of Endocrinology, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY, USA; Institute for Aging Research, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY, USA.

出版信息

Aging Cell. 2014 Aug;13(4):769-71. doi: 10.1111/acel.12213. Epub 2014 Mar 12.

Abstract

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.

摘要

生长激素和胰岛素样生长因子-1(GH/IGF-1)信号减弱与多种动物模型的寿命延长有关。然而,GH/IGF-1活性降低对人类生存的影响尚未得到证实。我们检验了这样一个假设,即在研究入组时测量的非agenarians(n = 184)的IGF-1水平可预测其剩余生存时间。在Kaplan-Meier分析中,IGF-1水平低于中位数(≤ 96 ng mL(-1))的女性与高于中位数的女性相比,生存时间显著更长,P < 0.01。然而,在男性中未观察到这种生存优势(P = 0.83)。另一方面,在有癌症病史的男性和女性中,较低的IGF-1水平预示着更长的生存时间(P < 0.01)。在女性(P = 0.01)和有癌症病史的个体(P < 0.01)中,经过多变量调整后,IGF-1水平在直线回归模型中仍然是生存时间的显著预测因子。我们首次表明,低IGF-1水平可预测特别长寿个体的预期寿命。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0eb/4326943/afd53ae853c3/acel0013-0769-f1.jpg

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