Methylome analysis in long-lived men deciphers DNA methylation modifications associated with male longevity in humans

长寿 DNA甲基化 甲基化 CpG站点 生物 表观遗传学 基因 遗传学 生物信息学 基因表达
作者
Fu‐Hui Xiao,Haotian Wang,Long Zhao,Tianrui Xia,Liqin Yang,Siyu Ma,Qing‐Peng Kong
出处
期刊:Cell Reports [Cell Press]
卷期号:44 (1): 115158-115158
标识
DOI:10.1016/j.celrep.2024.115158
摘要

Highlights•WGBS identifies 3,035 differentially methylated genomic units (DMUs) specific to long-lived men•DMUs are preferentially linked to genes related to aging, age-related disease, and longevity•DMUs have the potential to signify specific methylomic features in long-lived men•DMUs comprise CpG sites that are rarely covered by methylation microarraysSummaryMen, despite having a lower likelihood of longevity compared to women, generally exhibit better health status when they achieve longevity. The role of DNA methylation in this paradox remains unclear. We performed whole-genome bisulfite sequencing on long-lived men (LLMs), long-lived women (LLWs), younger men (YMs) and younger women (YWs) to explore specific methylation characteristics in LLMs. Despite an accelerated methylation aging rate in LLMs compared to LLWs, we identify thousands of differentially methylated genomic units (DMUs) in LLMs independent of age and sex. These DMUs, validated by an elastic net classifier, can serve as methylation markers for discriminating longevity potential in men. Many are located near health-related genes. Genes like PIWIL1 and EXT1, with promoters featuring DMUs, exemplify the potential role of LLM-specific methylation patterns in suppressing age-related diseases by regulating gene transcription. Our findings provide evidence of a distinct methylation feature contributing to healthy aging and longevity of LLMs.Graphical abstract
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
呆一起完成签到 ,获得积分10
1秒前
2秒前
乐观银耳汤完成签到,获得积分10
3秒前
真找不到完成签到,获得积分10
3秒前
三千完成签到,获得积分10
4秒前
难过的豆芽完成签到,获得积分10
4秒前
二智娃娃完成签到,获得积分10
4秒前
CipherSage应助ZMY采纳,获得10
4秒前
刘雨完成签到,获得积分10
5秒前
一人完成签到,获得积分10
6秒前
gbkjb发布了新的文献求助10
7秒前
Muyue发布了新的文献求助10
7秒前
Su完成签到,获得积分10
8秒前
8秒前
李健的小迷弟应助JC采纳,获得10
10秒前
wanci应助科研通管家采纳,获得10
10秒前
11秒前
殷勤的紫槐应助科研通管家采纳,获得260
11秒前
无极微光应助科研通管家采纳,获得20
11秒前
11秒前
脑洞疼应助科研通管家采纳,获得10
11秒前
隐形曼青应助mufcyang采纳,获得10
12秒前
吸猫头鹰完成签到,获得积分10
13秒前
绵杨完成签到,获得积分10
13秒前
颜林林发布了新的文献求助10
14秒前
16秒前
mufcyang完成签到,获得积分10
21秒前
liubo完成签到,获得积分10
22秒前
弹弹弹完成签到,获得积分10
22秒前
神勇的思卉完成签到,获得积分10
22秒前
janan33发布了新的文献求助10
22秒前
sen123完成签到,获得积分10
23秒前
鱼鱼鱼完成签到,获得积分10
26秒前
小二郎应助gbkjb采纳,获得10
26秒前
Lin完成签到,获得积分10
28秒前
Emma完成签到 ,获得积分10
28秒前
lifenghou完成签到 ,获得积分10
29秒前
李洪星完成签到 ,获得积分10
31秒前
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Association of Reentry Well-Being with Psychological Distress, Employment, and Housing Instability 15-Months After Incarceration 500
Trees of tropical Asia : an illustrated guide to diversity 500
Matrix Methods in Data Mining and Pattern Recognition 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7024730
求助须知:如何正确求助?哪些是违规求助? 8695681
关于积分的说明 18425287
捐赠科研通 6521655
什么是DOI,文献DOI怎么找? 3110247
关于科研通互助平台的介绍 2186053
邀请新用户注册赠送积分活动 2085998