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生物年龄预测指标。

Biological Age Predictors.

机构信息

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

出版信息

EBioMedicine. 2017 Jul;21:29-36. doi: 10.1016/j.ebiom.2017.03.046. Epub 2017 Apr 1.

DOI:10.1016/j.ebiom.2017.03.046
PMID:28396265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5514388/
Abstract

The search for reliable indicators of biological age, rather than chronological age, has been ongoing for over three decades, and until recently, largely without success. Advances in the fields of molecular biology have increased the variety of potential candidate biomarkers that may be considered as biological age predictors. In this review, we summarize current state-of-the-art findings considering six potential types of biological age predictors: epigenetic clocks, telomere length, transcriptomic predictors, proteomic predictors, metabolomics-based predictors, and composite biomarker predictors. Promising developments consider multiple combinations of these various types of predictors, which may shed light on the aging process and provide further understanding of what contributes to healthy aging. Thus far, the most promising, new biological age predictor is the epigenetic clock; however its true value as a biomarker of aging requires longitudinal confirmation.

摘要

寻找可靠的生物年龄指标,而不是生理年龄,已经持续了三十多年,但直到最近,基本上都没有成功。分子生物学领域的进步增加了潜在候选生物标志物的多样性,这些标志物可能被认为是生物年龄预测指标。在这篇综述中,我们总结了当前最先进的发现,考虑了六种潜在类型的生物年龄预测指标:表观遗传时钟、端粒长度、转录组预测指标、蛋白质组预测指标、基于代谢组学的预测指标和复合生物标志物预测指标。有前景的发展考虑了这些不同类型预测指标的多种组合,这可能有助于揭示衰老过程,并进一步了解哪些因素有助于健康衰老。到目前为止,最有前途的新型生物年龄预测指标是表观遗传时钟;然而,它作为衰老生物标志物的真正价值需要通过纵向确认。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56a9/5514388/04985eac87c0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56a9/5514388/b3ed3ab01ea1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56a9/5514388/04985eac87c0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56a9/5514388/b3ed3ab01ea1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56a9/5514388/04985eac87c0/gr2.jpg

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