The Associations of Maternal Health Characteristics, Newborn Metabolite Concentrations, and Child Body Mass Index among US Children in the ECHO Program

Author:

Snyder Brittney M.1ORCID,Gebretsadik Tebeb2,Rohrig Nina B.1ORCID,Wu Pingsheng1,Dupont William D.2,Dabelea Dana M.3ORCID,Fry Rebecca C.4,Lynch Susan V.5,McEvoy Cindy T.6,Paneth Nigel S.78,Ryckman Kelli K.9,Gern James E.10ORCID,Hartert Tina V.111,

Affiliation:

1. Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA

2. Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203, USA

3. Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA

4. Department of Environmental Sciences and Engineering, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA

5. Department of Medicine, University of California, San Francisco, CA 94143, USA

6. Department of Pediatrics, Oregon Health and Science University, Portland, OR 97239, USA

7. Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI 48824, USA

8. Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, East Lansing, MI 48912, USA

9. Department of Epidemiology and Biostatistics, Indiana University School of Public Health—Bloomington, Bloomington, IN 47405, USA

10. Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA

11. Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37203, USA

Abstract

We aimed first to assess associations between maternal health characteristics and newborn metabolite concentrations and second to assess associations between metabolites associated with maternal health characteristics and child body mass index (BMI). This study included 3492 infants enrolled in three birth cohorts with linked newborn screening metabolic data. Maternal health characteristics were ascertained from questionnaires, birth certificates, and medical records. Child BMI was ascertained from medical records and study visits. We used multivariate analysis of variance, followed by multivariable linear/proportional odds regression, to determine maternal health characteristic-newborn metabolite associations. Significant associations were found in discovery and replication cohorts of higher pre-pregnancy BMI with increased C0 and higher maternal age at delivery with increased C2 (C0: discovery: aβ 0.05 [95% CI 0.03, 0.07]; replication: aβ 0.04 [95% CI 0.006, 0.06]; C2: discovery: aβ 0.04 [95% CI 0.003, 0.08]; replication: aβ 0.04 [95% CI 0.02, 0.07]). Social Vulnerability Index, insurance, and residence were also associated with metabolite concentrations in a discovery cohort. Associations between metabolites associated with maternal health characteristics and child BMI were modified from 1–3 years (interaction: p < 0.05). These findings may provide insights on potential biologic pathways through which maternal health characteristics may impact fetal metabolic programming and child growth patterns.

Funder

National Institutes of Health

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism

Reference39 articles.

1. Fetal programming of the metabolic syndrome;Marciniak;Taiwan. J. Obstet. Gynecol.,2017

2. Fetal programming and metabolic syndrome;Rinaudo;Ann. Rev. Physiol.,2012

3. What is fetal programming?: A lifetime health is under the control of in utero health;Kwon;Obstet. Gynecol. Sci.,2017

4. Fetal programming and epigenetics;Stevenson;Curr. Opin. Endocr. Metab. Res.,2020

5. Metabolomics—The link between genotypes and phenotypes;Fiehn;Plant Mol. Biol.,2002

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3