Evidence map›Paper›PMID 32523012›Full record

ArticleScientific reports2020

Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics: The GUSTO study.

Ai-Ru Chia, Jamie V de Seymour, Gerard Wong, Karolina Sulek, Ting-Li Han, Elizabeth J McKenzie, Izzuddin M Aris, Keith M Godfrey, Fabian Yap, Kok Hian Tan and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 12 institutions in 7 countries.

Ai-Ru ChiaDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. airu-chia@nus.edu.sg.
Jamie V de SeymourSchool of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand.
Gerard WongSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore.
Karolina SulekLiggins Institute, University of Auckland, Auckland, New Zealand.
Ting-Li HanLiggins Institute, University of Auckland, Auckland, New Zealand.
Elizabeth J McKenzieLiggins Institute, University of Auckland, Auckland, New Zealand.
Izzuddin M ArisDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Keith M GodfreyMedical Research Council Lifecourse Epidemiology Unit and National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom.
Fabian YapDuke-NUS Medical School, Singapore, Nanyang Technological University, Singapore, Singapore.
Kok Hian TanDepartment of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore.
Lynette Pei-Chi ShekSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore.
Yung Seng LeeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore.
Michael S KramerDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Neerja KarnaniSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore.
Mary Foong-Fong ChongSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. mary_chong@nus.edu.sg.
Philip N BakerLiggins Institute, University of Auckland, Auckland, New Zealand.
National University of Singapore · SGSingapore Institute for Clinical Sciences · SGAgency for Science, Technology and Research · SGChongqing Medical University · CNDuke-NUS Medical School · SGHarvard University · USKK Women's and Children's Hospital · SGMassey University · NZNational Health Service · GBNovo Nordisk Foundation · DKUniversity of Auckland · NZUniversity of Leicester · GB

Funding

British Heart Foundation RG/15/17/31749
6 · The paper itself

Abstract

Infant adiposity may be related to later metabolic health. Maternal metabolite profiling reflects both genetic and environmental influences and allows elucidation of metabolic pathways associated with infant adiposity. In this multi-ethnic Asian cohort, we aimed to (i) identify maternal plasma metabolites associated with infant adiposity and other birth outcomes and (ii) investigate the maternal characteristics associated with those metabolites. In 940 mother-offspring pairs, we performed gas chromatography-mass spectrometry and identified 134 metabolites in maternal fasting plasma at 26-28 weeks of gestation. At birth, neonatal triceps and subscapular skinfold thicknesses were measured by trained research personnel, while weight and length measures were abstracted from delivery records. Gestational age was estimated from first-trimester dating ultrasound. Associations were assessed by multivariable linear regression, with p-values corrected using the Benjamini-Hochberg approach. At a false discovery rate of 5%, we observed associations between 28 metabolites and neonatal sum of skinfold thicknesses (13 amino acid-related, 4 non-esterified fatty acids, 6 xenobiotics, and 5 unknown compounds). Few associations were observed with gestational duration, birth weight, or birth length. Maternal ethnicity, pre-pregnancy BMI, and diet quality during pregnancy had the strongest associations with the specific metabolome related to infant adiposity. Further studies are warranted to replicate our findings and to understand the underlying mechanisms.

Indexed as

AdiposityAdultBiomarkersBirth WeightBody Mass IndexDietFemaleGestational AgeHumansInfant, NewbornMaternal Nutritional Physiological PhenomenaObesityPregnancyProspective StudiesSkinfold ThicknessBiomarkers

Identifiers

PMID32523012
PMCPMC7287081
OpenAlexW3033411828

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.