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人类皮肤、口腔和肠道微生物群可预测实际年龄。

Human Skin, Oral, and Gut Microbiomes Predict Chronological Age.

作者信息

Huang Shi, Haiminen Niina, Carrieri Anna-Paola, Hu Rebecca, Jiang Lingjing, Parida Laxmi, Russell Baylee, Allaband Celeste, Zarrinpar Amir, Vázquez-Baeza Yoshiki, Belda-Ferre Pedro, Zhou Hongwei, Kim Ho-Cheol, Swafford Austin D, Knight Rob, Xu Zhenjiang Zech

机构信息

Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, California, USA.

UCSD Health Department of Pediatrics, University of California, San Diego, La Jolla, California, USA.

出版信息

mSystems. 2020 Feb 11;5(1):e00630-19. doi: 10.1128/mSystems.00630-19.

Abstract

Human gut microbiomes are known to change with age, yet the relative value of human microbiomes across the body as predictors of age, and prediction robustness across populations is unknown. In this study, we tested the ability of the oral, gut, and skin (hand and forehead) microbiomes to predict age in adults using random forest regression on data combined from multiple publicly available studies, evaluating the models in each cohort individually. Intriguingly, the skin microbiome provides the best prediction of age (mean ± standard deviation, 3.8 ± 0.45 years, versus 4.5 ± 0.14 years for the oral microbiome and 11.5 ± 0.12 years for the gut microbiome). This also agrees with forensic studies showing that the skin microbiome predicts postmortem interval better than microbiomes from other body sites. Age prediction models constructed from the hand microbiome generalized to the forehead and vice versa, across cohorts, and results from the gut microbiome generalized across multiple cohorts (United States, United Kingdom, and China). Interestingly, taxa enriched in young individuals (18 to 30 years) tend to be more abundant and more prevalent than taxa enriched in elderly individuals (>60 yrs), suggesting a model in which physiological aging occurs concomitantly with the loss of key taxa over a lifetime, enabling potential microbiome-targeted therapeutic strategies to prevent aging. Considerable evidence suggests that the gut microbiome changes with age or even accelerates aging in adults. Whether the age-related changes in the gut microbiome are more or less prominent than those for other body sites and whether predictions can be made about a person's age from a microbiome sample remain unknown. We therefore combined several large studies from different countries to determine which body site's microbiome could most accurately predict age. We found that the skin was the best, on average yielding predictions within 4 years of chronological age. This study sets the stage for future research on the role of the microbiome in accelerating or decelerating the aging process and in the susceptibility for age-related diseases.

摘要

已知人类肠道微生物群会随着年龄的增长而变化,但人体微生物群作为年龄预测指标的相对价值以及跨人群预测的稳健性尚不清楚。在本研究中,我们利用多个公开研究的数据,通过随机森林回归分析,测试口腔、肠道和皮肤(手部和额头)微生物群预测成年人年龄的能力,并对每个队列中的模型进行单独评估。有趣的是,皮肤微生物群对年龄的预测效果最佳(平均值±标准差为3.8±0.45岁,口腔微生物群为4.5±0.14岁,肠道微生物群为11.5±0.12岁)。这也与法医研究结果一致,即皮肤微生物群比其他身体部位的微生物群能更好地预测死后间隔时间。从手部微生物群构建的年龄预测模型在不同队列中可推广到额头,反之亦然,肠道微生物群的结果在多个队列(美国、英国和中国)中也具有普遍性。有趣的是,在年轻个体(18至30岁)中富集的分类群往往比在老年个体(>60岁)中富集的分类群更为丰富和普遍,这表明在一个模型中,生理衰老伴随着一生中关键分类群的丧失而发生,这使得以微生物群为靶点的潜在治疗策略能够预防衰老。大量证据表明,肠道微生物群会随着年龄的增长而变化,甚至会加速成年人的衰老。肠道微生物群与年龄相关的变化是否比其他身体部位更为显著,以及能否从微生物群样本中预测一个人的年龄,目前仍不清楚。因此,我们结合了来自不同国家的几项大型研究,以确定哪个身体部位的微生物群能够最准确地预测年龄。我们发现皮肤是最佳的,平均预测年龄与实际年龄相差在4岁以内。这项研究为未来关于微生物群在加速或减缓衰老过程以及与年龄相关疾病易感性方面作用的研究奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa30/7018528/5aac11a30885/mSystems.00630-19-f0001.jpg

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