Article in mSystems, 2023. 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
0.3field-weighted citation impact, top 36% 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
1 citing paper in PubMed, 2 citations in OpenAlex.
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
9 authors at 3 institutions in 1 country.
Bridget N Chalifour *Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0001-8275-2457
Diana I Trifonova *Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA.
Elizabeth A HolzhausenDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0002-1773-0099
Maximilian J BaileyStanford University School of Medicine, Leland Stanford Junior University, Stanford, California, USA.
Kelsey A SchmidtChildren's Hospital Los Angeles, University of Southern California, Los Angeles, California, USA.
Mahsa BabaeiChildren's Hospital Los Angeles, University of Southern California, Los Angeles, California, USA.
Pari MokhtariChildren's Hospital Los Angeles, University of Southern California, Los Angeles, California, USA.
Michael I GoranChildren's Hospital Los Angeles, University of Southern California, Los Angeles, California, USA.
Tanya L AldereteDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0002-7751-9543
University of Colorado Boulder · USUniversity of Southern California · USStanford University · US
Funding
Southern California Center for Chronic Health Disparities in Latino Children and Families.P50MD017344 · NIMHD · CHILDREN'S HOSPITAL OF LOS ANGELES · PI COHEN, DEBORAH A · 2021 to 2025
$27.8M
Perfluoroalkyl Substances and the Gut Microbiome and Fecal Metabolome: Implications for Obesity Risk in Hispanic ChildrenR01ES035035 · NIEHS · UNIVERSITY OF COLORADO · PI Tanya Lynn Alderete · 2023 to 2026
$2.6M
Transdisciplinary Training in Sleep and Circadian RhythmsT32HL149646 · NHLBI · UNIVERSITY OF COLORADO · PI Kenneth P Wright · 2020 to 2026
$1.6M
Near-Roadway and Ambient Air Pollution Exposure and the Gut Microbiome: Implications for Obesity and Insulin Resistance in AdolescenceR00ES027853 · NIEHS · UNIVERSITY OF COLORADO · PI ALDERETE, TANYA LYNN · 2018 to 2020
importancePrevious research has reported differences in the gut microbiome associated with varying body compositions. More specifically, within populations of mothers, the focus has been on the impact of gestational weight gain. This is the first study to examine postpartum weight change and its association with changes in the gut microbiome, similarly, it is the first to use a Latina cohort to do so. The results support the idea that weight gain may be an important factor in reducing gut microbiome network connectivity, diversity, and changing abundances of specific microbial taxa, all measures thought to impact host health. These results suggest that weight gain dynamically alters mothers' gut microbial communities in the first 6 months postpartum, with comparatively little change in mothers who lost weight; further research is needed to examine the health consequences of such changes.
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.
Characterizing alterations in the gut microbiota following postpartum weight change. · full record | OpenQuestion