Evidence map›Paper›PMID 41743144›Full record

ArticleFrontiers in microbiology2026

Wen-Yu Ye, Cai-Xia Feng, Shi-Qi Su, Su-Mei Wei, Ying Mao, Zhen-Yu Chen, Ying Su, Qing-Wen Shan

Abstract read
In one paragraph

Article in Frontiers in microbiology, 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. Article
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.

Wen-Yu YeDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Cai-Xia FengDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shi-Qi SuDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Su-Mei WeiDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ying MaoDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Zhen-Yu ChenDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ying SuDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qing-Wen ShanDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antibiotic abuse and subsequent infection induce dysregulation of the intestinal epithelial kinome, characterized by p38α hyperphosphorylation (encoded by MAPK14), a common molecular trigger for barrier failure. Readily druggable nodes to repair this dysregulation remain elusive. Methods: Using an antibiotic-LPS co-exposure enteropathy model, we investigated whether Results: We found that AKK reactivates the "p38α MAPK-Nrf2" signaling pathway. Mechanistically, AKK specifically alleviates p38α subtype-mediated suppression of Nrf2, thereby synergistically enhancing the expression of antioxidant enzymes such as HO-1 and NQO1, reducing excessive reactive oxygen species (ROS) production, and restoring the integrity of epithelial tight junctions and mucus layers. Conclusion: Our work is the first to establish the "AKK-p38α MAPK-Nrf2" axis as a druggable kinase module for antibiotic-associated intestinal disease, providing an immediately translatable molecular foundation for developing oral, mechanism-defined, and precise microecological therapies.

Indexed as

Akkermansia muciniphilaantibiotic-associated enteropathyintestinal barrier functionNrf2 signalingp38α MAPK

Identifiers

PMID41743144
PMCPMC12931279

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.