Evidence map›Paper›PMID 38031185›Full record

ArticleBMC medicine2023

Maternal glycemic status during pregnancy and mid-childhood plasma amino acid profiles: findings from a multi-ethnic Asian birth cohort.

Mengjiao Liu, Shiao-Yng Chan, Johan G Eriksson, Yap Seng Chong, Yung Seng Lee, Fabian Yap, Mary Foong-Fong Chong, Mya Thway Tint, Jiaxi Yang, David Burgner and 2 more

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Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors at 6 institutions in 5 countries.

Mengjiao LiuSchool of Public Health, Nanchang University, Jiangxi, China.
Shiao-Yng ChanDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Johan G ErikssonDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yap Seng ChongDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yung Seng LeeDepartments of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Fabian YapDepartments of Pediatrics, and Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore, Singapore.
Mary Foong-Fong ChongSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Mya Thway TintHuman Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Jiaxi YangDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
David BurgnerMurdoch Children's Research Institute, Melbourne, VIC, Australia.
Cuilin ZhangDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ling-Jun LiDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. obgllj@nus.edu.sg.ORCID 0000-0003-0685-3189
National University of Singapore · SGAgency for Science, Technology and Research · SGHarvard University · USNanchang University · CNThe University of Melbourne · AUUniversity of Helsinki · FI

Funding

National research funding NMRC/ TCR/004-NUS/2008National research funding NMRC/TCR/012-NUHS/2014
6 · The paper itself

Abstract

backgroundIncreasing maternal glycaemia across the continuum during pregnancy may predispose offspring to subsequent cardiometabolic risk later in life. However, evidence of long-term impacts of maternal glycemic status on offspring amino acid (AA) profiles is scarce. We aimed to investigate the association between maternal antenatal glycaemia and offspring mid-childhood amino acid (AA) profiles, which are emerging cardiometabolic biomarkers.

methodsData were drawn from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) study, a multi-ethnic Asian birth cohort. A subset of 422 mother-child dyads from the GUSTO study, who was followed from early pregnancy to mid-childhood, was included. Mothers underwent an oral glucose tolerance test (OGTT) at 26-28 weeks gestation, with fasting and 2-h plasma glucose concentrations measured and gestational diabetes mellitus (GDM) diagnosed per WHO 1999 guidelines. Offspring fasting plasma samples were collected at mean age 6.1 years, from which AA profiles of nine AAs, alanine, glutamine, glycine, histidine, isoleucine, leucine, valine, phenylalanine, and tyrosine were measured. Total branched-chain amino acids (BCAAs) were calculated as the sum of isoleucine, leucine, and valine concentrations. Multi-variable linear regression was used to estimate the association of maternal glycemic status and offspring mid-childhood AA profiles adjusting for maternal age, ethnicity, maternal education, parity, family history of diabetes, ppBMI, child sex, age and BMI z-scores.

resultsApproximately 20% of mothers were diagnosed with GDM. Increasing maternal fasting glucose was significantly associated with higher offspring plasma valine and total BCAAs, whereas higher 2-h glucose was significantly associated with higher histidine, isoleucine, valine, and total BCAAs. Offspring born to mothers with GDM had higher valine (standardized mean difference 0.27 SD; 95% CI: 0.01, 0.52), leucine (0.28 SD; 0.02, 0.53), and total BCAAs (0.26 SD; 0.01, 0.52) than their counterparts. Inconsistent associations were found between maternal GDM and other amino acids among offspring during mid-childhood.

conclusionsIncreasing maternal fasting and post-OGTT glucose concentrations at 26-28 weeks gestation were significantly associated with mid-childhood individual and total BCAAs concentrations. The findings suggest that elevated maternal glycaemia throughout pregnancy, especially GDM, may have persistent programming effects on offspring AA metabolism which were strongly associated with adverse cardiometabolic profiles at mid-childhood.

Indexed as

Cardiovascular DiseasesDiabetes, GestationalHyperglycemiaBirth CohortBody Mass IndexChildFemaleGlucoseHistidineHumansIsoleucineLeucinePregnancyValineGlucoseHistidineIsoleucineLeucineValineAmino acidsBranched-chain amino acidsGestational diabetes mellitusMaternal glycemiaPopulation-based cohort

Identifiers

PMID38031185
PMCPMC10688057
OpenAlexW4389137853

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.