Evidence map›Paper›PMID 42713241›Full record

ReviewFrontiers in immunology2026

Microbiota-driven epigenetic programming of local immunity.

Su Jin Lim, Young Min Son

Abstract readReview
In one paragraph

Review 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

2 authors.

Su Jin LimDepartment of Systems Biotechnology, Chung-Ang University, Anseong, Republic of Korea.
Young Min SonDepartment of Systems Biotechnology, Chung-Ang University, Anseong, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The maintenance of local immunity requires stable tissue adaptation, implying that persistent environmental cues must continuously reinforce niche-specific immune programs. Microbiota-derived metabolites are increasingly recognized as such cues, acting not merely as metabolic byproducts but as epigenetic inputs that regulate histone modifications, DNA and histone methylation, and non-coding RNA networks. Through these epigenetic mechanisms, microbial metabolites reprogram key immune populations by promoting tolerogenic or immunostimulatory states, tuning effector and memory differentiation, and reshaping subset-specific functions in a tissue-dependent manner. Tissue-level studies have further shown that this microbiota-epigenome crosstalk influences barrier tolerance in the gut and skin, antiviral and inflammatory responses in the lung, metabolic and fibrogenic programs in the liver, and microglial immune tone in the brain. However, studies establishing a complete causal chain from a defined commensal source and metabolite availability to sensing or uptake pathway, chromatin-modifying enzyme or epigenetic mark, target gene locus, responding immune cell type, and validated immune outcome remain to be limited. Future studies should integrate causal microbial genetics, longitudinal metabolomics, cell-type-resolved epigenomics, and human validation to distinguish causal mechanisms from associative findings and enable safe tissue- and patient-specific therapeutic translation. This review therefore outlines the microbiota-metabolite-epigenome axis as a unifying framework for local immunity while emphasizing the mechanistic gaps that must be addressed to develop effective therapeutic strategies.

Indexed as

Epigenesis, GeneticImmunityMicrobiotaAnimalsHumansepigenetic programmingepigenome-microbiota axislocal immunitymetabolitemicrobiome

Identifiers

PMID42713241
PMCPMC13551561

What Socratic holds

Textmetadata
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.