Evidence map›Paper›PMID 32556615›Full record

ArticleDiabetologia2020

Metabolomic and genetic associations with insulin resistance in pregnancy.

Yu Liu, Alan Kuang, Octavious Talbot, James R Bain, Michael J Muehlbauer, M Geoffrey Hayes, Olga R Ilkayeva, Lynn P Lowe, Boyd E Metzger, Christopher B Newgard and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 9% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  6. The Double-Edged Sword of Gestational Insulin Resistance: Navigating Maternal Adaptation and Its Risks for Pregnancy and Offspring Health.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
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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

13 authors at 2 institutions in 2 countries.

Yu LiuDepartment of Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E. Superior St, Chicago, IL, 60611, USA.ORCID 0000-0002-5100-244X
Alan KuangDepartment of Preventive Medicine (Biostatistics), Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA.
Octavious TalbotDepartment of Preventive Medicine (Biostatistics), Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA.
James R BainSarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA.
Michael J MuehlbauerSarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA.
M Geoffrey HayesDepartment of Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E. Superior St, Chicago, IL, 60611, USA.
Olga R IlkayevaSarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA.
Lynn P LoweDepartment of Preventive Medicine (Biostatistics), Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA.
Boyd E MetzgerDepartment of Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E. Superior St, Chicago, IL, 60611, USA.
Christopher B NewgardSarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA.
Denise M ScholtensDepartment of Preventive Medicine (Biostatistics), Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA. dscholtens@northwestern.edu.ORCID 0000-0002-8252-7863
William L LoweDepartment of Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E. Superior St, Chicago, IL, 60611, USA. wlowe@northwestern.edu.ORCID 0000-0001-9467-3422
HAPO Study Cooperative Research Group
Northwestern University · USDuke University · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Hyperglycemia and Adverse Pregnancy Outcome (HAPO)R01HD034243 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI METZGER, BOYD E · 1999 to 2010
$16.2M
HAPO: DATA COORDINATING CENTERR01HD034242 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DYER, ALAN R · 1999 to 2007
$3.0M
Predicting Newborn and Childhood Adiposity: An Integrated Omics ApproachR01DK117491 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LOWE, WILLIAM L, SCHOLTENS, DENISE M · 2018 to 2022
$2.8M
Maternal Obesity and Gestational Diabetes: Impact on MetabolomeR01DK095963 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LOWE, WILLIAM L · 2013 to 2016
$1.7M
GWA Mapping: Maternal Metabolism-Birth Weight InteractionsU01HG004415 · NHGRI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LOWE, WILLIAM L · 2007 to 2009
$1.1M
Bayesian Network Models for Genetics and Metabolomics Studies of Fetal ProgrammingR03CA211318 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SCHOLTENS, DENISE M · 2016 to 2016
$157k
NCATS NIH HHS UL1 TR001422NCATS NIH HHS UL1 TR002548NCI NIH HHS R03 CA211318NHGRI NIH HHS U01 HG004415NICHD NIH HHS R01 HD034242NICHD NIH HHS R01 HD034243NIDDK NIH HHS R01 DK095963NIDDK NIH HHS R01 DK117491
6 · The paper itself

Abstract

aims/hypothesisOur study aimed to integrate maternal metabolic and genetic data related to insulin sensitivity during pregnancy to provide novel insights into mechanisms underlying pregnancy-induced insulin resistance.

methodsFasting and 1 h serum samples were collected from women in the Hyperglycemia and Adverse Pregnancy Outcome study who underwent an OGTT at ∼28 weeks' gestation. We obtained targeted and non-targeted metabolomics and genome-wide association data from 1600 and 4528 mothers, respectively, in four ancestry groups (Northern European, Afro-Caribbean, Mexican American and Thai); 1412 of the women had both metabolomics and genome-wide association data. Insulin sensitivity was calculated using a modified insulin sensitivity index that included fasting and 1 h glucose and C-peptide levels after a 75 g glucose load.

resultsPer-metabolite and network analyses across the four ancestries identified numerous metabolites associated with maternal insulin sensitivity before and 1 h after a glucose load, ranging from amino acids and carbohydrates to fatty acids and lipids. Genome-wide association analyses identified 12 genetic variants in the glucokinase regulatory protein gene locus that were significantly associated with maternal insulin sensitivity, including a common functional missense mutation, rs1260326 (β = -0.2004, p = 4.67 × 10 CONCLUSIONS/

interpretationThe present study demonstrates commonalities between metabolites and genetic variants associated with insulin sensitivity in the gravid and non-gravid states and provides insights into mechanisms underlying pregnancy-induced insulin resistance. Graphical abstract.

Indexed as

MetabolomicsAdaptor Proteins, Signal TransducingAdultAsian PeopleBlack PeopleDiabetes, GestationalFemaleGenome-Wide Association StudyGlucose Tolerance TestHumansInsulin ResistanceMediation AnalysisMexican AmericansMutation, MissensePolymorphism, Single NucleotidePregnancyAdaptor Proteins, Signal TransducingGCKR protein, humanGCKRGenome-wide association studiesInsulin sensitivityMetabolomicsPregnancy

Identifiers

PMID32556615
PMCPMC7416451
OpenAlexW3035876234

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.