Prenatal gestational diabetes mellitus exposure and accelerated offspring DNA methylation age in early childhood
Background: We investigated the association between prenatal GDM exposure and offspring DNA methylation (DNAm) age at 3-10 years of age in the Tianjin GDM Observational Study. Methods: This study included 578 GDM and 578 non-GDM mother-child pairs. Children underwent an exam with anthropometric meas...
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creator | Shiau, Stephanie Wang, Leishen Liu, Huikun Zheng, Yinan Drong, Alex Joyce, Brian T. Wang, Jun Li, Weiqin Leng, Junhong Shen, Yun Gao, Ru Hu, Gang Hou, Lifang Baccarelli, Andrea A. |
description | Background: We investigated the association between prenatal GDM exposure and offspring DNA methylation (DNAm) age at 3-10 years of age in the Tianjin GDM Observational Study.
Methods: This study included 578 GDM and 578 non-GDM mother-child pairs. Children underwent an exam with anthropometric measurements and blood draw for DNAm analysis (Illumina 850 K array) at a median age of 5.9 years (range 3.1-10.2). DNAm age was calculated using two epigenetic clock algorithms (Horvath and Hannum). The residual resulting from regressing DNAm age on chronological age was used as a metric for age acceleration.
Results: Chronological age was positively correlated with Horvath DNAm age (r = 0.53, p < 0.0001) and Hannum DNAm age (r = 0.38, p < 0.0001). Offspring age acceleration was higher in the GDM group than non-GDM group after adjustment for potential confounders (Horvath: 4.96 months higher, adjusted for sex, pre-pregnancy BMI, cell-type proportions, and technical bias, p = 0.0002; Hannum: 11.2 months higher, adjusted for cell-type proportions and technical bias, p < 0.0001). Increased offspring DNAm age acceleration was associated with increased offspring weight-for-age Z-score, BMI-for-age-Z-score, waist circumference, body fat percentage, subscapular skinfold, suprailiac skinfold, upper-arm circumference, and blood pressure; findings were stronger in the GDM group.
Conclusions: We found that offspring of women with GDM exhibit accelerated epigenetic age compared to control participants, independent of other maternal factors. Epigenetic age in offspring was associated with cardiometabolic risk factors, suggesting that GDM and GDM-associated factors may have long-term effects on offspring epigenetic age and contribute to health outcomes. |
doi_str_mv | 10.1080/15592294.2020.1790924 |
format | Article |
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Methods: This study included 578 GDM and 578 non-GDM mother-child pairs. Children underwent an exam with anthropometric measurements and blood draw for DNAm analysis (Illumina 850 K array) at a median age of 5.9 years (range 3.1-10.2). DNAm age was calculated using two epigenetic clock algorithms (Horvath and Hannum). The residual resulting from regressing DNAm age on chronological age was used as a metric for age acceleration.
Results: Chronological age was positively correlated with Horvath DNAm age (r = 0.53, p < 0.0001) and Hannum DNAm age (r = 0.38, p < 0.0001). Offspring age acceleration was higher in the GDM group than non-GDM group after adjustment for potential confounders (Horvath: 4.96 months higher, adjusted for sex, pre-pregnancy BMI, cell-type proportions, and technical bias, p = 0.0002; Hannum: 11.2 months higher, adjusted for cell-type proportions and technical bias, p < 0.0001). Increased offspring DNAm age acceleration was associated with increased offspring weight-for-age Z-score, BMI-for-age-Z-score, waist circumference, body fat percentage, subscapular skinfold, suprailiac skinfold, upper-arm circumference, and blood pressure; findings were stronger in the GDM group.
Conclusions: We found that offspring of women with GDM exhibit accelerated epigenetic age compared to control participants, independent of other maternal factors. Epigenetic age in offspring was associated with cardiometabolic risk factors, suggesting that GDM and GDM-associated factors may have long-term effects on offspring epigenetic age and contribute to health outcomes.</description><identifier>ISSN: 1559-2294</identifier><identifier>EISSN: 1559-2308</identifier><identifier>DOI: 10.1080/15592294.2020.1790924</identifier><identifier>PMID: 32614694</identifier><language>eng</language><publisher>United States: Taylor & Francis</publisher><subject>Body Mass Index ; Child ; Child, Preschool ; Diabetes, Gestational - genetics ; DNA Methylation ; epigenetic age ; Epigenomics ; Female ; Gestational diabetes mellitus ; Humans ; Infant ; Pregnancy ; Research Paper</subject><ispartof>Epigenetics, 2021-02, Vol.16 (2), p.186-195</ispartof><rights>2020 Informa UK Limited, trading as Taylor & Francis Group 2020</rights><rights>2020 Informa UK Limited, trading as Taylor & Francis Group 2020 Informa UK Limited, trading as Taylor & Francis Group</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c534t-6384f10a7d8c8b43445ec4b48046116885a18bf35d0fc5054132ccf57adecdb43</citedby><cites>FETCH-LOGICAL-c534t-6384f10a7d8c8b43445ec4b48046116885a18bf35d0fc5054132ccf57adecdb43</cites><orcidid>0000-0003-2944-3406</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889277/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889277/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32614694$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shiau, Stephanie</creatorcontrib><creatorcontrib>Wang, Leishen</creatorcontrib><creatorcontrib>Liu, Huikun</creatorcontrib><creatorcontrib>Zheng, Yinan</creatorcontrib><creatorcontrib>Drong, Alex</creatorcontrib><creatorcontrib>Joyce, Brian T.</creatorcontrib><creatorcontrib>Wang, Jun</creatorcontrib><creatorcontrib>Li, Weiqin</creatorcontrib><creatorcontrib>Leng, Junhong</creatorcontrib><creatorcontrib>Shen, Yun</creatorcontrib><creatorcontrib>Gao, Ru</creatorcontrib><creatorcontrib>Hu, Gang</creatorcontrib><creatorcontrib>Hou, Lifang</creatorcontrib><creatorcontrib>Baccarelli, Andrea A.</creatorcontrib><title>Prenatal gestational diabetes mellitus exposure and accelerated offspring DNA methylation age in early childhood</title><title>Epigenetics</title><addtitle>Epigenetics</addtitle><description>Background: We investigated the association between prenatal GDM exposure and offspring DNA methylation (DNAm) age at 3-10 years of age in the Tianjin GDM Observational Study.
Methods: This study included 578 GDM and 578 non-GDM mother-child pairs. Children underwent an exam with anthropometric measurements and blood draw for DNAm analysis (Illumina 850 K array) at a median age of 5.9 years (range 3.1-10.2). DNAm age was calculated using two epigenetic clock algorithms (Horvath and Hannum). The residual resulting from regressing DNAm age on chronological age was used as a metric for age acceleration.
Results: Chronological age was positively correlated with Horvath DNAm age (r = 0.53, p < 0.0001) and Hannum DNAm age (r = 0.38, p < 0.0001). Offspring age acceleration was higher in the GDM group than non-GDM group after adjustment for potential confounders (Horvath: 4.96 months higher, adjusted for sex, pre-pregnancy BMI, cell-type proportions, and technical bias, p = 0.0002; Hannum: 11.2 months higher, adjusted for cell-type proportions and technical bias, p < 0.0001). Increased offspring DNAm age acceleration was associated with increased offspring weight-for-age Z-score, BMI-for-age-Z-score, waist circumference, body fat percentage, subscapular skinfold, suprailiac skinfold, upper-arm circumference, and blood pressure; findings were stronger in the GDM group.
Conclusions: We found that offspring of women with GDM exhibit accelerated epigenetic age compared to control participants, independent of other maternal factors. Epigenetic age in offspring was associated with cardiometabolic risk factors, suggesting that GDM and GDM-associated factors may have long-term effects on offspring epigenetic age and contribute to health outcomes.</description><subject>Body Mass Index</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Diabetes, Gestational - genetics</subject><subject>DNA Methylation</subject><subject>epigenetic age</subject><subject>Epigenomics</subject><subject>Female</subject><subject>Gestational diabetes mellitus</subject><subject>Humans</subject><subject>Infant</subject><subject>Pregnancy</subject><subject>Research Paper</subject><issn>1559-2294</issn><issn>1559-2308</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNp9kd1uEzEQhVcIREvhEUB-gRT_7a59g6gKLZUq4AKurVl7nLhy1pHtAHl7nKap6A1XHo3P-c5Ip-veMnrOqKLvWd9rzrU855S31aip5vJZd7rfL7ig6vlxbqKT7lUpd5RKMWj9sjsRfGBy0PK023zPOEOFSJZYKtSQ5ja7ABNWLGSNMYa6LQT_bFLZZiQwOwLWYsQMFR1J3pdNDvOSfPp60fR1tYv3GAJLJGEmCDnuiF2F6FYpudfdCw-x4JuH96z7efX5x-WXxe2365vLi9uF7YWsi0Eo6RmF0SmrJimk7NHKSSoqB8YGpXpgavKid9TbnvaSCW6t70dwaF0znHU3B65LcGfahWvIO5MgmPtFyksDuQYb0aATjaclHVs08hEGlDAyDRzFyKxurA8H1mY7rdFZnGuG-AT69GcOK7NMv8yolObj2AD9AWBzKiWjf_QyavZ1mmOdZl-neaiz-d79G_zoOvbXBB8PgjD7lNfwO-XoTIVdTNlnmG0oRvw_4y_CBrGf</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Shiau, Stephanie</creator><creator>Wang, Leishen</creator><creator>Liu, Huikun</creator><creator>Zheng, Yinan</creator><creator>Drong, Alex</creator><creator>Joyce, Brian T.</creator><creator>Wang, Jun</creator><creator>Li, Weiqin</creator><creator>Leng, Junhong</creator><creator>Shen, Yun</creator><creator>Gao, Ru</creator><creator>Hu, Gang</creator><creator>Hou, Lifang</creator><creator>Baccarelli, Andrea A.</creator><general>Taylor & Francis</general><general>Taylor & Francis Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2944-3406</orcidid></search><sort><creationdate>20210201</creationdate><title>Prenatal gestational diabetes mellitus exposure and accelerated offspring DNA methylation age in early childhood</title><author>Shiau, Stephanie ; Wang, Leishen ; Liu, Huikun ; Zheng, Yinan ; Drong, Alex ; Joyce, Brian T. ; Wang, Jun ; Li, Weiqin ; Leng, Junhong ; Shen, Yun ; Gao, Ru ; Hu, Gang ; Hou, Lifang ; Baccarelli, Andrea A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c534t-6384f10a7d8c8b43445ec4b48046116885a18bf35d0fc5054132ccf57adecdb43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Body Mass Index</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Diabetes, Gestational - genetics</topic><topic>DNA Methylation</topic><topic>epigenetic age</topic><topic>Epigenomics</topic><topic>Female</topic><topic>Gestational diabetes mellitus</topic><topic>Humans</topic><topic>Infant</topic><topic>Pregnancy</topic><topic>Research Paper</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shiau, Stephanie</creatorcontrib><creatorcontrib>Wang, Leishen</creatorcontrib><creatorcontrib>Liu, Huikun</creatorcontrib><creatorcontrib>Zheng, Yinan</creatorcontrib><creatorcontrib>Drong, Alex</creatorcontrib><creatorcontrib>Joyce, Brian T.</creatorcontrib><creatorcontrib>Wang, Jun</creatorcontrib><creatorcontrib>Li, Weiqin</creatorcontrib><creatorcontrib>Leng, Junhong</creatorcontrib><creatorcontrib>Shen, Yun</creatorcontrib><creatorcontrib>Gao, Ru</creatorcontrib><creatorcontrib>Hu, Gang</creatorcontrib><creatorcontrib>Hou, Lifang</creatorcontrib><creatorcontrib>Baccarelli, Andrea A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Epigenetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shiau, Stephanie</au><au>Wang, Leishen</au><au>Liu, Huikun</au><au>Zheng, Yinan</au><au>Drong, Alex</au><au>Joyce, Brian T.</au><au>Wang, Jun</au><au>Li, Weiqin</au><au>Leng, Junhong</au><au>Shen, Yun</au><au>Gao, Ru</au><au>Hu, Gang</au><au>Hou, Lifang</au><au>Baccarelli, Andrea A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prenatal gestational diabetes mellitus exposure and accelerated offspring DNA methylation age in early childhood</atitle><jtitle>Epigenetics</jtitle><addtitle>Epigenetics</addtitle><date>2021-02-01</date><risdate>2021</risdate><volume>16</volume><issue>2</issue><spage>186</spage><epage>195</epage><pages>186-195</pages><issn>1559-2294</issn><eissn>1559-2308</eissn><abstract>Background: We investigated the association between prenatal GDM exposure and offspring DNA methylation (DNAm) age at 3-10 years of age in the Tianjin GDM Observational Study.
Methods: This study included 578 GDM and 578 non-GDM mother-child pairs. Children underwent an exam with anthropometric measurements and blood draw for DNAm analysis (Illumina 850 K array) at a median age of 5.9 years (range 3.1-10.2). DNAm age was calculated using two epigenetic clock algorithms (Horvath and Hannum). The residual resulting from regressing DNAm age on chronological age was used as a metric for age acceleration.
Results: Chronological age was positively correlated with Horvath DNAm age (r = 0.53, p < 0.0001) and Hannum DNAm age (r = 0.38, p < 0.0001). Offspring age acceleration was higher in the GDM group than non-GDM group after adjustment for potential confounders (Horvath: 4.96 months higher, adjusted for sex, pre-pregnancy BMI, cell-type proportions, and technical bias, p = 0.0002; Hannum: 11.2 months higher, adjusted for cell-type proportions and technical bias, p < 0.0001). Increased offspring DNAm age acceleration was associated with increased offspring weight-for-age Z-score, BMI-for-age-Z-score, waist circumference, body fat percentage, subscapular skinfold, suprailiac skinfold, upper-arm circumference, and blood pressure; findings were stronger in the GDM group.
Conclusions: We found that offspring of women with GDM exhibit accelerated epigenetic age compared to control participants, independent of other maternal factors. Epigenetic age in offspring was associated with cardiometabolic risk factors, suggesting that GDM and GDM-associated factors may have long-term effects on offspring epigenetic age and contribute to health outcomes.</abstract><cop>United States</cop><pub>Taylor & Francis</pub><pmid>32614694</pmid><doi>10.1080/15592294.2020.1790924</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-2944-3406</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Body Mass Index Child Child, Preschool Diabetes, Gestational - genetics DNA Methylation epigenetic age Epigenomics Female Gestational diabetes mellitus Humans Infant Pregnancy Research Paper |
title | Prenatal gestational diabetes mellitus exposure and accelerated offspring DNA methylation age in early childhood |
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