Evidence map›Paper›PMID 39473842›Full record

ArticleFrontiers in microbiology2024

Associations between maternal microbiome, metabolome and incidence of low-birth weight in Guatemalan participants from the Women First Trial.

Meghan L Ruebel, Stephanie P Gilley, Laxmi Yeruva, Minghua Tang, Daniel N Frank, Ana Garcés, Lester Figueroa, Renny S Lan, Hailemariam Abrha Assress, Jennifer F Kemp and 4 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

14 authors.

Meghan L RuebelMicrobiome and Metabolism Research Unit, USDA-ARS, Southeast Area USDA-ARS, Little Rock, AR, United States.
Stephanie P GilleyDepartment of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, CO, United States.
Laxmi YeruvaMicrobiome and Metabolism Research Unit, USDA-ARS, Southeast Area USDA-ARS, Little Rock, AR, United States.
Minghua TangDepartment of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, CO, United States.
Daniel N FrankDepartment of Medicine, Division of Infectious Disease, University of Colorado School of Medicine, Aurora, CO, United States.
Ana GarcésMaternal Infant Health Center, Instituto de Nutrición de Centro América y Panamá (INCAP), Guatemala City, Guatemala.
Lester FigueroaMaternal Infant Health Center, Instituto de Nutrición de Centro América y Panamá (INCAP), Guatemala City, Guatemala.
Renny S LanArkansas Children's Nutrition Center, Little Rock, AR, United States.
Hailemariam Abrha AssressArkansas Children's Nutrition Center, Little Rock, AR, United States.
Jennifer F KempDepartment of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, CO, United States.
Jamie L E WestcottDepartment of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, CO, United States.
K Michael HambidgeDepartment of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, CO, United States.
Kartik ShankarDepartment of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, CO, United States.
Nancy F KrebsDepartment of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, CO, United States.

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS · 1995 to 2026
$32.6M
National Metabolomics Data Repository - nextgen Metabolomics WorkbenchU2CDK119886 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$12.7M
Nutrition-specific interventions to improve long-term maternal-child health outcomesUG1HD076474 · NICHD · UNIVERSITY OF COLORADO DENVER · PI Edwin Jose Asturias, NANCY F KREBS · 2018 to 2026
$5.4M
Triglycerides as a Predictor of Newborn Subcutaneous and Liver Fat: Contributors to Fetal Fat Accretion in Obese PregnanciesR01HD102726 · NICHD · UNIVERSITY OF COLORADO DENVER · PI LINDA Anne BARBOUR, Teri L Hernandez · 2021 to 2026
$3.2M
Biomedical Data Commons Workbench (BDCW)OT2OD030544 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2020 to 2024
$3.2M
NICHD NIH HHS R01 HD102726NICHD NIH HHS UG1 HD076474NIDDK NIH HHS P30 DK048520NIDDK NIH HHS U2C DK119886NIH HHS OT2 OD030544
6 · The paper itself

Abstract

Background: Low birth weight (LBW; <2,500 g) affects approximately 15 to 20 percent of global births annually and is associated with suboptimal child development. Recent studies suggest a link between the maternal gut microbiome and poor obstetric and perinatal outcomes. The goal of this study was to examine relationships between maternal microbial taxa, fecal metabolites, and maternal anthropometry on incidence of LBW in resource-limited settings. Methods: This was a secondary analysis of the Women First trial conducted in a semi-rural region of Guatemala. Maternal weight was measured at 12 and 34 weeks (wk) of gestation. Infant anthropometry measures were collected within 48 h of delivery. Maternal fecal samples at 12 and 34 weeks were used for microbiome (16S rRNA gene amplicon sequencing) and metabolomics analysis (34 wk). Linear mixed models using the MaAslin2 package were utilized to assess changes in microbiome associated with LBW. Predictive models using gradient boosted machines (XGBoost) were developed using the H2o.ai engine. Results: No differences in β-diversity were observed at either time point between mothers with LBW infants relative to normal weight (NW) infants. Simpson diversity at 12 and 34 weeks was lower in mothers with LBW infants. Notable differences in genus-level abundance between LBW and NW mothers ( Conclusion: Collectively, the findings indicate that alterations in the maternal microbiome and metabolome were associated with LBW. Future research should target functional and predictive roles of the maternal gut microbiome in infant birth outcomes including birthweight.

Indexed as

growthlow birth weightmicrobiomepreconceptionpregnancy

Identifiers

PMID39473842
PMCPMC11518777

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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.