Evidence map›Paper›PMID 41614418›Full record

ReviewInternational journal of molecular medicine2026

MicroRNA‑microbiome cross‑kingdom networks drive inflammatory bowel disease through dynamic regulatory ecosystems (Review).

Liping Liang, Xiaoyan Liu, Bang Li, Huyi Lei, Zibo Tang, Shijie Mai, Chenghai Yang, Yongjian Zhou, Shaoheng Zhang, Le Liu

Abstract readReview
In one paragraph

Review in International journal of molecular medicine, 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

10 authors.

Liping Liang *Department of Gastroenterology and Hepatology, Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510180, P.R. China.
Xiaoyan Liu *Department of Gastroenterology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510260, P.R. China.
Bang Li *Department of Gastroenterology, First People's Hospital of Foshan (Foshan Hospital Affiliated to Southern University of Science and Technology), School of Medicine, Southern University of Science and Technology, Foshan, Guangdong 528000, P.R. China.
Huyi Lei *Department of Hematology, The Affiliated Hospital of Shaoxing University (Shaoxing Municipal Hospital), Shaoxing, Zhejiang 312000, P.R. China.
Zibo TangDepartment of Radiation Oncology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, P.R. China.
Shijie MaiDepartment of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Chenghai YangIntegrated Clinical Microecology Center, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong 518000, P.R. China.
Yongjian ZhouDepartment of Gastroenterology and Hepatology, Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510180, P.R. China.
Shaoheng ZhangDepartment of Gastroenterology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, P.R. China.
Le LiuIntegrated Clinical Microecology Center, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong 518000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) pathogenesis reflects complex interactions between host immunity and gut microbiome dynamics, with microRNAs (miRNAs) functioning as key mediators of cross‑kingdom communication. Host‑derived miRNAs modulate bacterial gene expression and reshape microbial communities, while gut microbiota influences host miRNA expression through microbial metabolites and multiple immune signaling. In IBD, dysregulated miRNAs disrupt immune homeostasis by affecting inflammatory responses, lymphocyte differentiation and epithelial barrier integrity. Yet many miRNAs exhibit context‑dependent dual functions, complicating therapeutic targeting. Despite their biomarker potential for distinguishing IBD subtypes and tracking disease activity, clinical validation faces substantial obstacles including methodological inconsistencies, patient heterogeneity and temporal expression variability. Single-target miRNA therapeutics have yielded modest clinical outcomes, exposing the resilience of regulatory networks and compensatory mechanisms that limit intervention efficacy. The bidirectional architecture of miRNA‑microbiome communication argues against reductionist approaches. Effective IBD management requires integrated strategies that address multiple regulatory nodes rather than isolated pathways. Advancing this field demands deeper investigation of temporal dynamics, spatial organization and network‑level interactions. Such understanding will inform precision medicine strategies that restore regulatory equilibrium without compromising the adaptive capacity of host‑microbiome systems. Progress depends on recognizing the integrated nature of these regulatory networks rather than treating components in isolation.

Indexed as

Gastrointestinal MicrobiomeGene Regulatory NetworksInflammatory Bowel DiseasesMicroRNAsAnimalsHumansIntestinal Barrier FunctionMicroRNAscross‑kingdom communicationgut microbiomeinflammatory bowel diseasemicroRNAsprecision medicineregulatory networks

Identifiers

PMID41614418
PMCPMC12860501

What OpenQuestion holds

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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.