Evaluation of pediatric epigenetic clocks across multiple tissues

Clinical Epigenetics

Research

Carlos A. Camargo¹  Jaclyn M. Goodrich²  Rebecca C. Fry³  Andres Cardenas⁴  Wei Perng⁵  Dana M. Dabelea⁵  Margaret R. Karagas⁶  Christine Ladd-Acosta⁷  Anna K. Knight⁸  Anne L. Dunlop⁸  Alicia K. Smith⁹  Carole Ober^1,10  Douglas M. Ruden^1,11  Abigail Gaylord^1,12  Leonardo Trasande^1,13  Izzuddin M. Aris^1,14  Emily Oken^1,14  Marie-France Hivert^1,15  Nicole R. Bush^1,16  Max T. Aung^1,17  Carrie V. Breton^1,17  Carmen J. Marsit^1,18  Todd M. Everson^1,18  Linran Zhou^1,19  Fang Fang^1,19  Grier P. Page^1,19  Julie B. Herbstman^2,20  George O’Connor^2,21 

[1] Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA;Department of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA;Department of Environmental Sciences and Engineering, UNC-Chapel Hill, Chapel Hill, NC, USA;Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA, USA;Department of Epidemiology, Colorado School of Public Health, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA;Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA;Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA;Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA;Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA;Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA;Department of Human Genetics, University of Chicago, Chicago, IL, USA;Department of Obstetrics and Gynecology, Institute of Environmental Health Sciences, Wayne State University, Detroit, MI, USA;Department of Population Health, New York University School of Medicine, New York, NY, USA;Department of Population Health, New York University School of Medicine, New York, NY, USA;Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA;Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA;Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA;Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA;Department of Psychiatry and Behavioral Sciences, Department of Pediatrics, University of California, San Francisco, CA, USA;Division of Environmental Health, Department of Population and Populace Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA;Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA;GenOmics and Translational Research Center, RTI International, Research Triangle Park, 3040 East Cornwallis Road, 27709-2194, Durham, NC, USA;Mailman School of Public Health, Columbia University, New York, NY, USA;Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA;The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA;

关键词: Epigenetic clock;    DNA methylation;    Gestational age;    Early childhood chronological age;   

DOI  :  10.1186/s13148-023-01552-3

 received in 2023-06-08, accepted in 2023-08-12,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundEpigenetic clocks are promising tools for assessing biological age. We assessed the accuracy of pediatric epigenetic clocks in gestational and chronological age determination.ResultsOur study used data from seven tissue types on three DNA methylation profiling microarrays and found that the Knight and Bohlin clocks performed similarly for blood cells, while the Lee clock was superior for placental samples. The pediatric-buccal-epigenetic clock performed the best for pediatric buccal samples, while the Horvath clock is recommended for children's blood cell samples. The NeoAge clock stands out for its unique ability to predict post-menstrual age with high correlation with the observed age in infant buccal cell samples.ConclusionsOur findings provide valuable guidance for future research and development of epigenetic clocks in pediatric samples, enabling more accurate assessments of biological age.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

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