文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

表观遗传学年龄预测指标。

Epigenetic predictor of age.

机构信息

Department of Human Genetics, University of California Los Angeles, Los Angeles, California, United States of America.

出版信息

PLoS One. 2011;6(6):e14821. doi: 10.1371/journal.pone.0014821. Epub 2011 Jun 22.


DOI:10.1371/journal.pone.0014821
PMID:21731603
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3120753/
Abstract

From the moment of conception, we begin to age. A decay of cellular structures, gene regulation, and DNA sequence ages cells and organisms. DNA methylation patterns change with increasing age and contribute to age related disease. Here we identify 88 sites in or near 80 genes for which the degree of cytosine methylation is significantly correlated with age in saliva of 34 male identical twin pairs between 21 and 55 years of age. Furthermore, we validated sites in the promoters of three genes and replicated our results in a general population sample of 31 males and 29 females between 18 and 70 years of age. The methylation of three sites--in the promoters of the EDARADD, TOM1L1, and NPTX2 genes--is linear with age over a range of five decades. Using just two cytosines from these loci, we built a regression model that explained 73% of the variance in age, and is able to predict the age of an individual with an average accuracy of 5.2 years. In forensic science, such a model could estimate the age of a person, based on a biological sample alone. Furthermore, a measurement of relevant sites in the genome could be a tool in routine medical screening to predict the risk of age-related diseases and to tailor interventions based on the epigenetic bio-age instead of the chronological age.

摘要

从受孕的那一刻起,我们就开始衰老。细胞结构、基因调控和 DNA 序列的衰退会使细胞和生物体衰老。DNA 甲基化模式随年龄的增长而变化,并导致与年龄相关的疾病。在这里,我们在 34 对年龄在 21 至 55 岁之间的男性同卵双胞胎的唾液中鉴定出 88 个基因中的 80 个基因或其附近的 88 个基因,这些基因的胞嘧啶甲基化程度与年龄显著相关。此外,我们在一个年龄在 18 至 70 岁之间的 31 名男性和 29 名女性的普通人群样本中验证了三个基因启动子中的位点,并复制了我们的结果。三个位点——EDARADD、TOM1L1 和 NPTX2 基因启动子中的三个位点——在 50 多年的时间里,随着年龄的增长呈线性甲基化。仅使用这两个基因座中的两个胞嘧啶,我们构建了一个回归模型,该模型可以解释年龄变化的 73%,并且能够以平均 5.2 年的平均精度预测个体的年龄。在法医学中,这样的模型可以仅根据生物样本来估计一个人的年龄。此外,基因组中相关位点的测量可能是常规医疗筛查的一种工具,用于预测与年龄相关的疾病风险,并根据表观遗传生物年龄而不是实际年龄来调整干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e523/3120753/193ca03dee2f/pone.0014821.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e523/3120753/48f2393a73d1/pone.0014821.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e523/3120753/eeedfa2beed9/pone.0014821.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e523/3120753/193ca03dee2f/pone.0014821.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e523/3120753/48f2393a73d1/pone.0014821.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e523/3120753/eeedfa2beed9/pone.0014821.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e523/3120753/193ca03dee2f/pone.0014821.g003.jpg

相似文献

[1]
Epigenetic predictor of age.

PLoS One. 2011-6-22

[2]
Detection and evaluation of DNA methylation markers found at SCGN and KLF14 loci to estimate human age.

Forensic Sci Int Genet. 2017-11

[3]
Isolation and identification of age-related DNA methylation markers for forensic age-prediction.

Forensic Sci Int Genet. 2014-7

[4]
Epigenetic drift in the aging genome: a ten-year follow-up in an elderly twin cohort.

Int J Epidemiol. 2016-8

[5]
Age-related DNA methylation changes for forensic age-prediction.

Int J Legal Med. 2015-3

[6]
A Statistical Framework to Identify Deviation from Time Linearity in Epigenetic Aging.

PLoS Comput Biol. 2016-11-11

[7]
Evaluation of DNA methylation markers and their potential to predict human aging.

Electrophoresis. 2015-8

[8]
Tissue-specific dysregulation of DNA methylation in aging.

Aging Cell. 2010-5-22

[9]
Hypomethylation within gene promoter regions and type 1 diabetes in discordant monozygotic twins.

J Autoimmun. 2016-4

[10]
DNA methylation age is associated with mortality in a longitudinal Danish twin study.

Aging Cell. 2016-2

引用本文的文献

[1]
The X-Age Project to construct a Chinese aging clock.

Nat Aging. 2025-9-9

[2]
Epigenetic Regulation of Aging and its Rejuvenation.

MedComm (2020). 2025-9-1

[3]
Targeting Dermal Fibroblast Senescence: From Cellular Plasticity to Anti-Aging Therapies.

Biomedicines. 2025-8-7

[4]
Whole genome sequencing reveals telomere associated genomic differences between healthy and unhealthy aging in a Korean population.

Biogerontology. 2025-8-22

[5]
From ageing clocks to human digital twins in personalising healthcare through biological age analysis.

NPJ Digit Med. 2025-8-21

[6]
Placental epigenetic clocks derived from crowdsourcing: Implications for the study of accelerated aging in obstetrics.

iScience. 2025-7-23

[7]
Analysis of variability and epigenetic age prediction across microarray and methylation sequencing technologies.

Geroscience. 2025-8-11

[8]
Dental aging offers new insights to the first epigenetic clock for common dolphins ().

bioRxiv. 2025-7-23

[9]
SkeletAge: Transcriptomics-based Aging Clock Identifies 26 New Targets in Skeletal Muscle Aging.

bioRxiv. 2025-7-31

[10]
Vital Role of Visceral Adipose Tissue in Maintaining Cognitive Functions.

Int J Mol Sci. 2025-7-9

本文引用的文献

[1]
Aging and chronic sun exposure cause distinct epigenetic changes in human skin.

PLoS Genet. 2010-5-27

[2]
Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domains.

Genome Res. 2010-3-10

[3]
Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer.

Genome Res. 2010-3-10

[4]
Widespread and tissue specific age-related DNA methylation changes in mice.

Genome Res. 2010-1-27

[5]
DNA methylation pattern changes upon long-term culture and aging of human mesenchymal stromal cells.

Aging Cell. 2009-11-6

[6]
The relationship of DNA methylation with age, gender and genotype in twins and healthy controls.

PLoS One. 2009-8-26

[7]
Genome-wide association analysis by lasso penalized logistic regression.

Bioinformatics. 2009-3-15

[8]
WGCNA: an R package for weighted correlation network analysis.

BMC Bioinformatics. 2008-12-29

[9]
Geometric interpretation of gene coexpression network analysis.

PLoS Comput Biol. 2008-8-15

[10]
Age-specific epigenetic drift in late-onset Alzheimer's disease.

PLoS One. 2008-7-16

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索