Evidence map›Paper›PMID 42083126›Full record

ArticleAging cell2026

Aged Gut Microbiota Induces Mucosal Transcriptional Dysregulation, Impairing Immune Surveillance.

Fang Wu, Ming Zhang, Jianmin Wu, Zihan Wang, Yumeng Ma, Lin Dong, Le Cheng, Tengteng Ji, Chenyan Zheng, Fazheng Ren and 1 more

Abstract read
In one paragraph

Article in Aging cell, 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

11 authors.

Fang WuKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Ming ZhangSchool of Food and Health, Beijing Technology and Business University, Beijing, China.ORCID 0000-0003-1175-4636
Jianmin WuKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Zihan WangKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.ORCID 0009-0006-9213-9473
Yumeng MaKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Lin DongKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Le ChengKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Tengteng JiKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Chenyan ZhengKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Fazheng RenKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Bing FangKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.

Funding

Beijing Nova Program 20240484606the 2115 Talent Development Program of China Agricultural Universitythe Cross-Innovation Open Project of Food Flavor and Health, Beijing Technology & Business University FFHCI-2025061the Key Project of Henan Science and Technology Research and Development Plan 241110110200
6 · The paper itself

Abstract

Aging is associated with systemic immune remodeling and disease susceptibility, but its impact on intestinal mucosal immunity, particularly changes in M cells, remains largely unknown. This study aimed to investigate how aging alters intestinal mucosal immune phenotypes, specifically follicle-associated epithelial cells (FAE) and the gut microbiota, and to identify interconnected pathways that may be exploited to maintain intestinal immune function in the elderly. Using intestinal tissue from young and aged mice, this study assessed manifestations of intestinal epithelial aging, changes in immune cells in the lamina propria, and microbial composition. Aging was associated with increased expression of senescence-associated secretory phenotype (SASP) markers (IL-1β, TNF-α, p16) and decreased levels of tight junction proteins (Occludin, Tricellulin), suggesting epithelial barrier dysfunction. Aged mice exhibited decreased Naïve Th cells, increased Effector Th and Th17 subsets, and decreased fecal IgA. Microbiome analysis revealed enrichment of inflammatory bacteria, such as Desulfovibrio and Candidatus_Saccharimonas, and elevated dysbiosis indices. RNA sequencing of FAEs revealed 578 differentially expressed genes, including downregulation of Gp2 and Ccl28, indicating impaired M cell function. Association analysis between microbiome changes and mucosal immune aging revealed that enrichment of key inflammatory bacteria may contribute to impaired M cell function and dysregulated intestinal mucosal immunity. These findings reveal a multi-layered disruption of intestinal homeostasis during aging-comprising barrier function, immune imbalance, FAEs dysfunction, and shifts in specific microbial taxa -leading to increased susceptibility to pathogens. Targeting these age-related pathways may provide strategies for maintaining intestinal immunity in the elderly.

Indexed as

AgingGastrointestinal MicrobiomeImmunologic SurveillanceIntestinal MucosaTranscription, GeneticAnimalsImmunity, MucosalIntestinal Barrier FunctionMaleMiceMice, Inbred C57BLagingClostridium difficile infectionfollicle‐associated epithelium (FAE)gut microbiotaintestinal mucosal immunity

Identifiers

PMID42083126
PMCPMC13139644

What OpenQuestion holds

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Registered trials

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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.