Evidence map›Paper›PMID 42146533›Full record

ArticlebioRxiv : the preprint server for biology2026

Carbohydrate Metabolism Differs in Infants by Asthma-risk Status and is Associated with the Functional Potential of

Holly M Steininger, Carlos E Iglesias-Aguirre, Ariane R Panzer, Juliana Durack, Michelle McKean, Michael D Cabana, Spencer Diamond, Susan V Lynch

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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. 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.

Holly M SteiningerBenioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA 94143, USA.
Carlos E Iglesias-AguirreInnovative Genomics Institute, 2151 Berkeley Way, Berkeley, CA 94720, USA.
Ariane R PanzerBenioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA 94143, USA.
Juliana DurackBenioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA 94143, USA.
Michelle McKeanDepartment of Pediatrics, University of California, San Francisco, CA 94143, USA.
Michael D CabanaDepartment of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Spencer DiamondInnovative Genomics Institute, 2151 Berkeley Way, Berkeley, CA 94720, USA.
Susan V LynchBenioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA 94143, USA.

Funding

Childhood Asthma in Urban Settings Leadership Center Administrative Supplement for URECA Yr4UM1AI160040 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern, DANIEL J JACKSON · 2021 to 2026
$41.1M
The Effect of Dog-Keeping and the Intestinal Microbiota on Immune DevelopmentP01AI089473 · NIAID · HENRY FORD HEALTH SYSTEM · PI OWNBY, DENNIS R · 2012 to 2024
$25.7M
Recruitment, Data Collection & Sample Management CoreP01AI148104 · NIAID · UNIVERSITY OF ARIZONA · PI Susan Veronica Lynch · 2020 to 2026
$19.0M
Restorative practice in repairing harm and promoting safe and inclusive practices in the laboratory.T32GM136547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Adrian Erlebacher · 2020 to 2026
$4.5M
NIAID NIH HHS P01 AI089473NIAID NIH HHS P01 AI148104NIAID NIH HHS UM1 AI160040NIGMS NIH HHS T32 GM136547
6 · The paper itself

Abstract

Childhood atopic disease is linked to delayed gut microbiome development and metabolic dysfunction, however microbial drivers remain unclear. To explore microbial correlates of asthma risk during a time of active gut microbiome development, we analyzed stool from 6-month-old infants at high asthma risk (HR) or healthy controls (HC), using Genome-resolved metagenomics (HR=7; HC=12) and untargeted metabolomics (HR=11; HC=15). We recovered 82 bacterial species-level metagenomic-assembled genomes (MAGs). Global Taxonomic composition did not differ by asthma risk. Anticipating that key differences might associate with specific genomes, a machine-learning approach pinpointed

Indexed as

AsthmaInfantMicrobiomeMultiomics

Identifiers

PMID42146533
PMCPMC13174680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.