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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Veröffentlicht in:Epigenetics 2021-02, Vol.16 (2), p.186-195
Hauptverfasser: 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.
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container_end_page 195
container_issue 2
container_start_page 186
container_title Epigenetics
container_volume 16
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
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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 &lt; 0.0001) and Hannum DNAm age (r = 0.38, p &lt; 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 &lt; 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 &amp; 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 &amp; Francis Group 2020</rights><rights>2020 Informa UK Limited, trading as Taylor &amp; Francis Group 2020 Informa UK Limited, trading as Taylor &amp; 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 &lt; 0.0001) and Hannum DNAm age (r = 0.38, p &lt; 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 &lt; 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 &amp; 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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central
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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