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研究揭示生命周期人血浆蛋白的波动性变化
作者:小柯机器人 发布时间:2019/12/8 13:22:12

美国斯坦福大学Tony Wyss-Coray和Benoit Lehallier团队合作探究了在整个生命周期中,人血浆蛋白组图谱的波动变化。相关论文2019年12月5日在线发表在国际学术期刊《自然—医学》上。

研究人员研发了一种新的生物信息学方法,测量了4,263名18-95岁人群的2,925种血浆蛋白,该方法揭示了随着年龄增长人血浆蛋白质组中明显的非线性变化。40、70和80岁人群的蛋白质组的变化波动反映了不同的生物学途径,并揭示了与年龄相关疾病和表型性状的基因组和蛋白质组的不同关联。这种研究衰老的新方法能鉴定出未知的特征和途径,这些特征和途径可能为与年龄相关疾病的治疗提供潜在的靶标。

据了解,衰老是造成许多影响健康水平慢性病的主要危险因素。因此,衰老的机制日益被认为是潜在的治疗靶标。幼鼠的血液逆转了多个组织的衰老和疾病,这支持了一种假设,即与年龄相关的血液分子变化可以为理解年龄相关疾病提供新的生物学见解。

附:英文原文

Title: Undulating changes in human plasma proteome profiles across the lifespan

Author: Benoit Lehallier, David Gate, Nicholas Schaum, Tibor Nanasi, Song Eun Lee, Hanadie Yousef, Patricia Moran Losada, Daniela Berdnik, Andreas Keller, Joe Verghese, Sanish Sathyan, Claudio Franceschi, Sofiya Milman, Nir Barzilai, Tony Wyss-Coray

Issue&Volume: 2019-12-05

Abstract: Aging is a predominant risk factor for several chronic diseases that limit healthspan1. Mechanisms of aging are thus increasingly recognized as potential therapeutic targets. Blood from young mice reverses aspects of aging and disease across multiple tissues2,3,4,5,6,7,8,9,10, which supports a hypothesis that age-related molecular changes in blood could provide new insights into age-related disease biology. We measured 2,925 plasma proteins from 4,263 young adults to nonagenarians (18–95 years old) and developed a new bioinformatics approach that uncovered marked non-linear alterations in the human plasma proteome with age. Waves of changes in the proteome in the fourth, seventh and eighth decades of life reflected distinct biological pathways and revealed differential associations with the genome and proteome of age-related diseases and phenotypic traits. This new approach to the study of aging led to the identification of unexpected signatures and pathways that might offer potential targets for age-related diseases.

DOI: 10.1038/s41591-019-0673-2

Source: https://www.nature.com/articles/s41591-019-0673-2

期刊信息

Nature Medicine:《自然—医学》,创刊于1995年。隶属于施普林格·自然出版集团,最新IF:30.641
官方网址:https://www.nature.com/nm/
投稿链接:https://mts-nmed.nature.com/cgi-bin/main.plex