Evidence map›Paper›PMID 40975237›Full record

ArticleThe American journal of clinical nutrition2025

Microbiome-related metabolites in early to midpregnancy and risk of fetal growth extremes: a metabolome-wide association study.

Yeyi Zhu, Sita Manasa Susarla, Adrienne Kwok, Amanda L Ngo, Rana F Chehab, Ana K Rosen Vollmar, Emily Z Wang, Dinesh K Barupal, Oliver Fiehn, Assiamira Ferrara

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Yeyi ZhuDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, United States; Center for Upstream Prevention of Adiposity and Diabetes Mellitus (UPSTREAM), Kaiser Permanente Northern California, Pleasanton, CA, United States; Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, United States. Electronic address: yeyi.zhu@kp.org.
Sita Manasa SusarlaDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, United States.
Adrienne KwokDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, United States.
Amanda L NgoDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, United States.
Rana F ChehabDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, United States; Center for Upstream Prevention of Adiposity and Diabetes Mellitus (UPSTREAM), Kaiser Permanente Northern California, Pleasanton, CA, United States.
Ana K Rosen VollmarDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, United States; Center for Upstream Prevention of Adiposity and Diabetes Mellitus (UPSTREAM), Kaiser Permanente Northern California, Pleasanton, CA, United States.
Emily Z WangDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, United States; Center for Upstream Prevention of Adiposity and Diabetes Mellitus (UPSTREAM), Kaiser Permanente Northern California, Pleasanton, CA, United States.
Dinesh K BarupalDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Oliver FiehnWest Coast Metabolomics Center, University of California, Davis, Davis, CA, United States.
Assiamira FerraraDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, United States; Center for Upstream Prevention of Adiposity and Diabetes Mellitus (UPSTREAM), Kaiser Permanente Northern California, Pleasanton, CA, United States.

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

backgroundSmall for gestational age (SGA) and large for gestational age (LGA) are fetal growth extremes that predispose an individual to a plethora of short- and long-term adverse health consequences. Perturbations to the intrauterine metabolic milieu and microbiome have been linked to both SGA and LGA. However, the roles of microbiome-related metabolites as the end products of microbial metabolism in fetal growth remain understudied.

objectivesWe aimed to examine the prospective association of microbiome-related metabolites in early to midpregnancy with risk of SGA and LGA.

methodsWe drew a random sample of singleton pregnancies with 140 SGA, 134 LGA, and 140 appropriate for gestational age (AGA) births from the Pregnancy Environment and Lifestyle Study. Untargeted metabolites were measured by gas chromatography/time-of-flight mass spectrometry, reversed-phase liquid chromatography/quadrupole time-of-flight mass spectrometry, and hydrophilic interaction liquid chromatography/quadrupole time-of-flight mass spectrometry using fasting serum collected at gestational weeks (GW) 10-13 and GW 16-19. Chemical enrichment analysis examined the associations of metabolites with SGA and LGA compared with AGA risk, with false discovery rate (FDR) adjustment.

resultsWe detected 135 microbiome-related metabolites. At GW 10-13, clusters of basic amino acids (AAs), branched-chain AAs, and dicarboxylic acids were significantly and positively associated with risk of SGA, after adjusting for covariates and multiple testing (all P

conclusionsThis study identifies common and unique microbiome-related metabolites associated with risk of fetal growth extremes. Given that microbiota is malleable, our findings may inform strategies to optimize the intrauterine microbial-metabolic profile and fetal growth.

Indexed as

Fetal DevelopmentMetabolomeMicrobiotaAdultBirth WeightFemaleGestational AgeHumansInfant, NewbornInfant, Small for Gestational AgePregnancyProspective Studiesfetal growth extremeslarge for gestational agemetabolitesmicrobiomesmall for gestational age

Identifiers

PMID40975237
PMCPMC12515740

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.