Evidence map›Paper›PMID 39394552›Full record

ArticleBMC medicine2024

Microbiome-derived metabolites in early to mid-pregnancy and risk of gestational diabetes: a metabolome-wide association study.

Sita Manasa Susarla, Oliver Fiehn, Ines Thiele, Amanda L Ngo, Dinesh K Barupal, Rana F Chehab, Assiamira Ferrara, Yeyi Zhu

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Lifestyles, metabolome and diabetic kidney disease: a cohort study.QJM : monthly journal of the Association of Physicians · 2026
    Article
  8. LASSO regression-derived first-trimester (9-14Archives of gynecology and obstetrics · 2026
    Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
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

8 authors.

Sita Manasa SusarlaSchool of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Oliver FiehnWest Coast Metabolomics Center, University of California, Davis, Davis, CA, USA.
Ines ThieleSchool of Medicine, University of Galway, Galway, Ireland.
Amanda L NgoDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, 94536, USA.
Dinesh K BarupalDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Rana F ChehabDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, 94536, USA.
Assiamira FerraraDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, 94536, USA.
Yeyi ZhuDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, 94536, USA. yeyi.zhu@kp.org.

Funding

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
NIDDK NIH HHS K01 DK120807NIEHS NIH HHS R01 ES019196
6 · The paper itself

Abstract

backgroundPre-diagnostic disturbances in the microbiome-derived metabolome have been associated with an increased risk of diabetes in non-pregnant populations. However, the roles of microbiome-derived metabolites, the end-products of microbial metabolism, in gestational diabetes (GDM) remain understudied. We examined the prospective association of microbiome-derived metabolites in early to mid-pregnancy with GDM risk in a diverse population.

methodsWe conducted a prospective discovery and validation study, including a case-control sample of 91 GDM and 180 non-GDM individuals within the multi-racial/ethnic The Pregnancy Environment and Lifestyle Study (PETALS) as the discovery set, a random sample from the PETALS (42 GDM, 372 non-GDM) as validation set 1, and a case-control sample (35 GDM, 70 non-GDM) from the Gestational Weight Gain and Optimal Wellness randomized controlled trial as validation set 2. We measured untargeted fasting serum metabolomics at gestational weeks (GW) 10-13 and 16-19 by gas chromatography/time-of-flight mass spectrometry (TOF-MS), liquid chromatography (LC)/quadrupole TOF-MS, and hydrophilic interaction LC/quadrupole TOF-MS. GDM was diagnosed using the 3-h, 100-g oral glucose tolerance test according to the Carpenter-Coustan criteria around GW 24-28.

resultsAmong 1362 annotated compounds, we identified 140 of gut microbiome metabolism origin. Multivariate enrichment analysis illustrated that carbocyclic acids and branched-chain amino acid clusters at GW 10-13 and the unsaturated fatty acids cluster at GW 16-19 were positively associated with GDM risk (FDR < 0.05). At GW 10-13, the prediction model that combined conventional risk factors and LASSO-selected microbiome-derived metabolites significantly outperformed the model with only conventional risk factors including fasting glucose (discovery AUC: 0.884 vs. 0.691; validation 1: 0.945 vs. 0.731; validation 2: 0.987 vs. 0.717; all P < 0.01). At GW 16-19, similar results were observed (discovery AUC: 0.802 vs. 0.691, P < 0.01; validation 1: 0.826 vs. 0.780; P = 0.10).

conclusionsDysbiosis in microbiome-derived metabolites is present early in pregnancy among individuals progressing to GDM.

Indexed as

Diabetes, GestationalMetabolomeAdultCase-Control StudiesFemaleHumansMetabolomicsMicrobiotaPregnancyProspective StudiesGestational diabetesMetabolomicsMicrobiomePregnancyRisk prediction

Identifiers

PMID39394552
PMCPMC11470649

What Socratic 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 Socratic graph.