Evidence map›Paper›PMID 42630507›Full record

ArticleFrontiers in immunology2026

Microbial and metabolic signatures of humanized microbiome mice associate with

Alexis N Cox-Holmes, George B H Green, Anna Claire E Potier, Yong Wang, Dongquan Chen, Casey D Morrow, Braden C McFarland

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Alexis N Cox-HolmesDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, United States.
George B H GreenDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, United States.
Anna Claire E PotierDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, United States.
Yong WangDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, United States.
Dongquan ChenDepartment of Genetics, Heersink School of Medicine, UAB, Birmingham AL, United States.
Casey D MorrowDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, United States.
Braden C McFarlandDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, United States.

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Omer Jamy · 1985 to 2026
$165.9M
UAB-UCSD O'Brien Center for Acute Kidney Injury ResearchU54DK137307 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Javier A. Neyra · 2023 to 2026
$4.4M
9.4 Tesla Fourier Transform Mass SpectrometerS10RR017261 · NCRR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARNES, STEPHEN · 2002 to 2002
$1.5M
Employing Humanized Microbiome Mice to Understand Immune Activation and Translational Therapeutic Potential in GlioblastomaR01CA270750 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Braden Cox McFarland · 2023 to 2026
$1.3M
Enhanced Metabolomics/Lipidomics with a SCIEX ZenoTOF 7600S10OD034376 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARNES, STEPHEN · 2024 to 2024
$750k
Training Program in Brain Tumor BiologyT32NS121721 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Anita Borton Hjelmeland · 2024 to 2026
$503k
5500 Q-Trap Mass SpectrometerS10RR027822 · NCRR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARNES, STEPHEN · 2010 to 2010
$469k
NCI NIH HHS P30 CA013148NCI NIH HHS R01 CA270750NCRR NIH HHS S10 RR017261NCRR NIH HHS S10 RR027822NIDDK NIH HHS U54 DK137307NIH HHS S10 OD034376NINDS NIH HHS T32 NS121721
6 · The paper itself

Abstract

Introduction: The gut microbiota plays a critical role in immune system development. However, whether normal variation in healthy human microbiota alone can establish distinct baseline immune states that influences responses to disease and therapy remains unclear. Methods: To address this, we employed a humanized microbiome (HuM) mouse model where fecal matter is transplanted from healthy human donors into gnotobiotic mice. Our previous studies found that HuM mouse lines have differential responses to glioma immunotherapy, so we sought to define how microbiota composition mediates host immunity prior to disease development. Results: Despite being genetically identical and disease-free, HuM mice exhibited distinct microbiota-driven immune profiles. Mice harboring responder-associated microbiota (HuM2) had higher proportions of gram-positive gut bacteria and decreased acetate and propionate compared to nonresponder-associated (HuM1) mice. Single-cell RNA-sequencing of colonic CD45 Discussion: Together, these findings reveal a microbiota dependent program associating gram-positive enrichment and altered metabolite production to TLR2-associated immune activation and Th17 response. Our results demonstrate that human microbiome variation alone correlates with distinct baseline immune profiles that may predispose hosts to differential immunotherapy responses.

Indexed as

Gastrointestinal MicrobiomeTh17 CellsToll-Like Receptor 2AnimalsFecal Microbiota TransplantationGerm-Free LifeHumansMiceTlr2 protein, mouseToll-Like Receptor 2gut immunologymetabolomicsmicrobiomesingle-cell RNA-sequencingTh17

Identifiers

PMID42630507
PMCPMC13494530

What Socratic holds

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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.