Evidence map›Paper›PMID 41711968›Full record

ReviewArchives of microbiology2026

Mutations in the mucA gene of Pseudomonas aeruginosa promote disease exacerbation.

Yi-Han Wang, Jiang-Yu Long, Wen-Bo Xu, Ke-Ming Ning, Si-Yu Meng, Wang-Si-Jiao Shen, Zhao-Ying Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of microbiology, 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.

Yi-Han WangCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, 410128, China.
Jiang-Yu LongCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, 410128, China.
Wen-Bo XuCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, 410128, China.
Ke-Ming NingCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, 410128, China.
Si-Yu MengCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, 410128, China.
Wang-Si-Jiao ShenCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, 410128, China.
Zhao-Ying LiuCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, 410128, China. liu_zhaoying@hunau.edu.cn.ORCID http://orcid.org/0000-0002-9050-2287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mucA gene is a major genetic determinant of mucoid conversion in Pseudomonas aeruginosa isolated from patients with cystic fibrosis (CF) and represents a frequent hotspot for adaptive mutations. Although the role of the mucA gene in pathogen adaptation and virulence has been progressively elucidated, a comprehensive and systematic synthesis of its emerging functions and regulatory networks remains lacking. Here, we summarize current advances in the study of mucA, including its evolutionary origin, structural and functional characteristics, regulatory role in alginate biosynthesis, its mutation-associated pathogenic effects, and emerging strategies to studying or targeting mucA-deficient strains. Overall, this review highlights mucA as an important component of stress response networks in P. aeruginosa and summarizes current evidence that may inform future studies on risk stratification in chronic infections.

Indexed as

Bacterial ProteinsMutationPseudomonas aeruginosaPseudomonas InfectionsAlginatesCystic FibrosisGene Expression Regulation, BacterialHumansVirulenceAlginatesBacterial ProteinsMucA protein, PseudomonasCystic fibrosismucA genesmucA mutantPseudomonas aeruginosaThe biosynthesis of alginate

Identifiers

What OpenQuestion 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 OpenQuestion graph.