美国斯坦福大学医学院Michael Snyder团队纵向深度剖析揭示了个体衰老标记和年龄型。这一研究成果2020年1月13日发表在国际学术期刊《自然—医学》上。

研究人员对29至75岁的106位健康个体进行了纵向和深度的多组学分析，并研究了不同类型的“组学”测量指标（包括转录本、蛋白质、代谢产物、细胞因子、微生物和临床实验室值）与年龄之间的关系。他们确定了与年龄相关的已知的和新的标记，以及与胰岛素敏感的个体相比，胰岛素耐受个体法人衰老独特分子模式。在纵向情况下，他们确定了个体衰老标记，其水平在2-3年的短时间内发生了变化。此外，他们根据给定个体随时间变化的分子途径类型，定义了不同个体的不同类型的衰老模式，称为“衰老型”。年龄型可以提供个人衰老的分子评估，反映出个体生活方式和病史，这可能最终可用于监测和干预衰老进程。

研究人员表示，随着年龄的增长而发生的分子变化，并不能被很好地理解。

附：英文原文

Title: Personal aging markers and ageotypes revealed by deep longitudinal profiling

Author: Sara Ahadi, Wenyu Zhou, Sophia Miryam Schssler-Fiorenza Rose, M. Reza Sailani, Kvin Contrepois, Monika Avina, Melanie Ashland, Anne Brunet, Michael Snyder

Issue&Volume: 2020/01

Abstract: The molecular changes that occur with aging are not well understood14. Here, we performed longitudinal and deep multiomics profiling of 106 healthy individuals from 29 to 75 years of age and examined how different types of omic measurements, including transcripts, proteins, metabolites, cytokines, microbes and clinical laboratory values, correlate with age. We identified both known and new markers that associated with age, as well as distinct molecular patterns of aging in insulin-resistant as compared to insulin-sensitive individuals. In a longitudinal setting, we identified personal aging markers whose levels changed over a short time frame of 23 years. Further, we defined different types of aging patterns in different individuals, termed ageotypes, on the basis of the types of molecular pathways that changed over time in a given individual. Ageotypes may provide a molecular assessment of personal aging, reflective of personal lifestyle and medical history, that may ultimately be useful in monitoring and intervening in the aging process. Longitudinal multiomics profiling of a cohort of healthy people reveals distinct aging patternstermed ageotypesin different individuals.

DOI: 10.1038/s41591-019-0719-5

Source:https://www.nature.com/articles/s41591-019-0719-5