Evidence map›Paper›PMID 35532743›Full record

ArticleDiabetes2022

Predictive Metabolomic Markers in Early to Mid-pregnancy for Gestational Diabetes Mellitus: A Prospective Test and Validation Study.

Yeyi Zhu, Dinesh K Barupal, Amanda L Ngo, Charles P Quesenberry, Juanran Feng, Oliver Fiehn, Assiamira Ferrara

Open access · greenAbstract read
In one paragraph

Article in Diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 37 citations in OpenAlex.

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  12. Artificial Intelligence in Gestational Diabetes Care: A Systematic Review.Journal of diabetes science and technology · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Yeyi ZhuDivision of Research, Kaiser Permanente Northern California, Oakland, CA.ORCID 0000-0002-7296-738X
Dinesh K BarupalNational Institutes of Health West Coast Metabolomics Center, University of California Davis, Davis, CA.
Amanda L NgoDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Charles P QuesenberryDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Juanran FengDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Oliver FiehnNational Institutes of Health West Coast Metabolomics Center, University of California Davis, Davis, CA.
Assiamira FerraraDivision of Research, Kaiser Permanente Northern California, Oakland, CA.ORCID 0000-0002-7505-4826
Kaiser Permanente · USNational Institutes of Health · US

Funding

MSHS Translational Science HubUL1TR001433 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROSALIND J · 2015 to 2019
$26.6M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GENNINGS, CHRIS · 2015 to 2025
$26.4M
Early Life Exposure to Endocrine Disrupting Chemicals and Child Growth, Adiposity, and NeurodevelopmentUH3OD023289 · OD · KAISER FOUNDATION RESEARCH INSTITUTE · PI ASSIAMIRA FERRARA, Monique Marie Hedderson · 2018 to 2026
$25.1M
Untargeted Analysis ResourceU2CES026561 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROBERT O · 2015 to 2025
$24.5M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
Early Life Exposure to Endocrine Disrupting Chemicals and Child Growth, Adiposity, and NeurodevelopmentUG3OD023289 · OD · KAISER FOUNDATION RESEARCH INSTITUTE · PI CROEN, LISA A, FERRARA, ASSIAMIRA · 2016 to 2024
$9.8M
UCSF/Kaiser-DOR Program for Developing Independent Women's Health ResearchersK12HD052163 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER, NANCY E, BRINDIS, CLAIRE D. · 2005 to 2023
$9.3M
Untargeted Analysis ResourceU2CES030859 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ARORA, MANISH · 2019 to 2025
$8.2M
Appropriate Gestational Weight Gain in Overweight/Obese WomenR01HD073572 · NICHD · KAISER FOUNDATION RESEARCH INSTITUTE · PI FERRARA, ASSIAMIRA · 2013 to 2017
$3.2M
Prenatal Bisphenol A Exposure and Risk of Gestational DiabetesR01ES019196 · NIEHS · KAISER FOUNDATION RESEARCH INSTITUTE · PI FERRARA, ASSIAMIRA · 2013 to 2017
$3.0M
Fetal Programming of Growth and Obesity: A Metabolomics ApproachK01DK120807 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI ZHU, YEYI · 2019 to 2022
$699k
NCATS NIH HHS UL1 TR001433NICHD NIH HHS K12 HD052163NICHD NIH HHS R01 HD073572NIDDK NIH HHS K01 DK120807NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R01 ES019196NIEHS NIH HHS U2C ES026555NIEHS NIH HHS U2C ES026561NIEHS NIH HHS U2C ES030859NIH HHS UG3 OD023289NIH HHS UH3 OD023289
6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) predisposes pregnant individuals to perinatal complications and long-term diabetes and cardiovascular diseases. We developed and validated metabolomic markers for GDM in a prospective test-validation study. In a case-control sample within the PETALS cohort (GDM n = 91 and non-GDM n = 180; discovery set), a random PETALS subsample (GDM n = 42 and non-GDM n = 372; validation set 1), and a case-control sample within the GLOW trial (GDM n = 35 and non-GDM n = 70; validation set 2), fasting serum untargeted metabolomics were measured by gas chromatography/time-of-flight mass spectrometry. Multivariate enrichment analysis examined associations between metabolites and GDM. Ten-fold cross-validated LASSO regression identified predictive metabolomic markers at gestational weeks (GW) 10-13 and 16-19 for GDM. Purinone metabolites at GW 10-13 and 16-19 and amino acids, amino alcohols, hexoses, indoles, and pyrimidine metabolites at GW 16-19 were positively associated with GDM risk (false discovery rate <0.05). A 17-metabolite panel at GW 10-13 outperformed the model using conventional risk factors, including fasting glycemia (area under the curve: discovery 0.871 vs. 0.742, validation 1 0.869 vs. 0.731, and validation 2 0.972 vs. 0.742; P < 0.01). Similar results were observed with a 13-metabolite panel at GW 17-19. Dysmetabolism is present early in pregnancy among individuals progressing to GDM. Multimetabolite panels in early pregnancy can predict GDM risk beyond conventional risk factors.

Indexed as

Diabetes, GestationalBiomarkersFemaleHumansMetabolomicsPregnancyProspective StudiesRisk FactorsBiomarkers

Identifiers

PMID35532743
PMCPMC9490360
OpenAlexW4229378028

What OpenQuestion holds

Textmetadata
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.