Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

The landscape of aging

Yusheng Cai, Wei Song, Jiaming Li, Ying Jing, Chuqian Liang, Liyuan Zhang, Xia Zhang, Wenhui Zhang, Beibei Liu, Yongpan An, Jingyi Li, Baixue Tang, Siyu Pei, Xueying Wu, Yuxuan Liu, Cheng‐Le Zhuang, Yilin Ying, Xuefeng Dou, Yu Chen, Fu‐Hui Xiao, Dingfeng Li, Ruici Yang, Zhao Ya, Yang Wang, Lihui Wang, Yujing Li, Shuai Ma, Si Wang, Xiaoyuan Song, Jie Ren, Liang Zhang, Jun Wang, Weiqi Zhang, Zhengwei Xie, Jing Qu, Jianwei Wang, Yichuan Xiao, Ye Tian, Gelin Wang, Ping Hu, Jing Ye, Yu Sun, Zhiyong Mao, Qing‐Peng Kong, Qiang Liu, Weiguo Zou, Xiao‐Li Tian, Zhi‐Xiong Jim Xiao, Yong Liu, Junping Liu, Moshi Song, Jing‐Dong J. Han, Guang‐Hui Liu

Science China Life Sciences · 2022

Read source ↗ All evidence

Summary

This comprehensive analysis, published in Science China Life Sciences in 2022, appears to map the molecular and cellular landscape of human aging through integrative analysis of multiple biological layers. The work, involving a large research consortium, likely characterises how molecular signatures, cellular functions, and physiological traits change systematically with age. The study's contribution is as a reference map for understanding aging biology, potentially identifying conserved aging pathways and stratifying individuals by biological rather than chronological age.

UK applicability

As a foundational aging biology study, this work may inform UK clinical gerontology and age-related disease prevention strategies, though direct application depends on whether findings account for ethnicity-specific aging patterns and UK population demographics.

Key measures

As suggested by the title and large author list typical of Chinese Academy of Sciences consortium work, likely multi-omics markers (genomic, proteomic, metabolomic), cellular senescence markers, and age-stratified physiological metrics

Outcomes reported

The study appears to characterise the landscape of aging by mapping molecular, cellular, and physiological changes across the human lifespan. It likely integrated multi-omics data and biomarkers to identify aging-associated patterns and mechanisms.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
Geography
China
System type
Human clinical
DOI
10.1007/s11427-022-2161-3
Catalogue ID
SNmohdwe79-d6nrxr

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.