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肠道微生物群可预测雄性小鼠健康的晚年衰老情况。

Gut Microbiota Predicts Healthy Late-Life Aging in Male Mice.

作者信息

Ke Shanlin, Mitchell Sarah J, MacArthur Michael R, Kane Alice E, Sinclair David A, Venable Emily M, Chadaideh Katia S, Carmody Rachel N, Grodstein Francine, Mitchell James R, Liu Yangyu

机构信息

Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.

State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China.

出版信息

Nutrients. 2021 Sep 21;13(9):3290. doi: 10.3390/nu13093290.

DOI:10.3390/nu13093290
PMID:34579167
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8467910/
Abstract

Calorie restriction (CR) extends lifespan and retards age-related chronic diseases in most species. There is growing evidence that the gut microbiota has a pivotal role in host health and age-related pathological conditions. Yet, it is still unclear how CR and the gut microbiota are related to healthy aging. Here, we report findings from a small longitudinal study of male C57BL/6 mice maintained on either or mild (15%) CR diets from 21 months of age and tracked until natural death. We demonstrate that CR results in a significantly reduced rate of increase in the frailty index (FI), a well-established indicator of aging. We observed significant alterations in diversity, as well as compositional patterns of the mouse gut microbiota during the aging process. Interrogating the FI-related microbial features using machine learning techniques, we show that gut microbial signatures from 21-month-old mice can predict the healthy aging of 30-month-old mice with reasonable accuracy. This study deepens our understanding of the links between CR, gut microbiota, and frailty in the aging process of mice.

摘要

热量限制(CR)可延长大多数物种的寿命,并延缓与年龄相关的慢性疾病。越来越多的证据表明,肠道微生物群在宿主健康和与年龄相关的病理状况中起着关键作用。然而,CR与肠道微生物群如何与健康衰老相关仍不清楚。在此,我们报告了一项小型纵向研究的结果,该研究对21月龄开始维持正常饮食或轻度(15%)CR饮食的雄性C57BL/6小鼠进行,直至其自然死亡。我们证明,CR导致衰弱指数(FI)的增长速度显著降低,FI是一个公认的衰老指标。我们观察到在衰老过程中,小鼠肠道微生物群的多样性以及组成模式发生了显著变化。使用机器学习技术研究与FI相关的微生物特征,我们发现21月龄小鼠的肠道微生物特征能够以合理的准确度预测30月龄小鼠的健康衰老情况。这项研究加深了我们对CR、肠道微生物群以及小鼠衰老过程中衰弱之间联系的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/5d8596047dd4/nutrients-13-03290-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/7cc3e260f70b/nutrients-13-03290-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/739654014dee/nutrients-13-03290-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/d6c9aa3a2fff/nutrients-13-03290-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/acf9df335443/nutrients-13-03290-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/1554c3e6a5cd/nutrients-13-03290-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/5d8596047dd4/nutrients-13-03290-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/7cc3e260f70b/nutrients-13-03290-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/739654014dee/nutrients-13-03290-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/d6c9aa3a2fff/nutrients-13-03290-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/acf9df335443/nutrients-13-03290-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/1554c3e6a5cd/nutrients-13-03290-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ec/8467910/5d8596047dd4/nutrients-13-03290-g006.jpg

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