NEOage clocks - epigenetic clocks to estimate post-menstrual and postnatal age in preterm infants.
NEOage clocks - epigenetic clocks to estimate post-menstrual and postnatal age in preterm infants.
复制标题
DOI：
10.18632/aging.203637
复制
发表时间：
2021-10-16
期刊：
影响因子：
--
通讯作者：
Everson TM
中科院分区：
文献类型：
--
作者：
Graw S;Camerota M;Carter BS;Helderman J;Hofheimer JA;McGowan EC;Neal CR;Pastyrnak SL;Smith LM;DellaGrotta SA;Dansereau LM;Padbury JF;O'Shea M;Lester BM;Marsit CJ;Everson TM
基于DNA甲基化(DNaM)的表观遗传学时钟可以准确地预测年龄，被认为可以捕捉生物衰老。已经为不同的组织类型和年龄范围开发了各种表观遗传学时钟，但没有一个专注于早产儿的出生后年龄预测。生物年龄的表观遗传学估计在新生儿流行病学研究中可能特别有用，因为dNaM在新生儿期是高度动态的，这是一个关键的发育窗口。此外，对于那些早产的人来说，生物衰老的标志可能特别重要，因为他们面临着更高的发育障碍风险。我们的目标是通过开发早产儿新生儿老化的表观遗传学时钟来填补这一空白。作为新生儿神经行为和极早产儿结局(NOVI)研究的一部分，在NICU出院时收集了542名极早产儿的口腔细胞以分析其dNaM水平。我们应用弹性网络回归来识别四个预测月经后和出生后年龄的表观遗传学时钟(NEOage时钟)，与Illumina EPIC和450K阵列兼容。我们观察到预测和报告的年龄(0.93-0.94)与均方根误差(1.28-1.63周)有很高的相关性。早产儿新生儿老化的表观遗传学估测指标可作为评估生物成熟度及其与新生儿和长期发病率相关性的有用工具。
Epigenetic clocks based on DNA methylation (DNAm) can accurately predict chronological age and are thought to capture biological aging. A variety of epigenetic clocks have been developed for different tissue types and age ranges, but none have focused on postnatal age prediction for preterm infants. Epigenetic estimators of biological age might be especially informative in epidemiologic studies of neonates since DNAm is highly dynamic during the neonatal period and this is a key developmental window. Additionally, markers of biological aging could be particularly important for those born preterm since they are at heightened risk of developmental impairments. We aimed to fill this gap by developing epigenetic clocks for neonatal aging in preterm infants. As part of the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) study, buccal cells were collected at NICU discharge to profile DNAm levels in 542 very preterm infants. We applied elastic net regression to identify four epigenetic clocks (NEOage Clocks) predictive of post-menstrual and postnatal age, compatible with the Illumina EPIC and 450K arrays. We observed high correlations between predicted and reported ages (0.93 – 0.94) with root mean squared errors (1.28 - 1.63 weeks). Epigenetic estimators of neonatal aging in preterm infants can be useful tools to evaluate biological maturity and associations with neonatal and long-term morbidities.
登录
查看更多内容
影响因子：
2.2
作者：
Goldman J;Becker ML;Jones B;Clements M;Leeder JS
通讯作者：
Leeder JS
全基因组甲基化谱揭示了人类衰老速度的定量观点。
影响因子：
16
作者：
Hannum, Gregory;Guinney, Justin;Zhao, Ling;Zhang, Li;Hughes, Guy;Sadda, SriniVas;Klotzle, Brandy;Bibikova, Marina;Fan, Jian-Bing;Gao, Yuan;Deconde, Rob;Chen, Menzies;Rajapakse, Indika;Friend, Stephen;Ideker, Trey;Zhang, Kang
通讯作者：
Zhang, Kang
影响因子：
8.8
作者：
Wilhelm-Benartzi, C. S.;Koestler, D. C.;Karagas, M. R.;Flanagan, J. M.;Christensen, B. C.;Kelsey, K. T.;Marsit, C. J.;Houseman, E. A.;Brown, R.
通讯作者：
Brown, R.
影响因子：
3.5
作者：
Simpkin AJ;Hemani G;Suderman M;Gaunt TR;Lyttleton O;Mcardle WL;Ring SM;Sharp GC;Tilling K;Horvath S;Kunze S;Peters A;Waldenberger M;Ward-Caviness C;Nohr EA;Sørensen TI;Relton CL;Smith GD
通讯作者：
Smith GD
DOI：
10.1073/pnas.1820843116
发表时间：
2020-09-22
影响因子：
11.1
作者：
McEwen, Lisa M.;O'Donnell, Kieran J.;Kobor, Michael S.
通讯作者：
Kobor, Michael S.