Evidence map›Paper›PMID 41790320›Full record

ReviewFolia microbiologica2026

Two-component systems in Vibrio species: Regulation of virulence and implications for therapeutic development.

Fei Zha, Chun-Xu Xue, Zhengwei Zhang

Abstract readReview
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In one paragraph

Review in Folia microbiologica, 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

3 authors.

Fei ZhaSchool of Food and Drug, Shenzhen Polytechnic University, No. 7098 Liuxian Avenue, Nanshan District, Shenzhen, 518055, Guangdong, China. 7190112068@stu.jiangnan.edu.cn.
Chun-Xu XueSchool of Food and Drug, Shenzhen Polytechnic University, No. 7098 Liuxian Avenue, Nanshan District, Shenzhen, 518055, Guangdong, China. xuechunxu@szpu.edu.cn.
Zhengwei ZhangSchool of Food and Drug, Shenzhen Polytechnic University, No. 7098 Liuxian Avenue, Nanshan District, Shenzhen, 518055, Guangdong, China.

Funding

Shenzhen Polytechnic University Research Fund No.6026310038K
6 · The paper itself

Abstract

The precise regulation and timely expression of bacterial genes during infection are of paramount importance for the pathogenicity of pathogens. Bacteria employ diverse mechanisms to govern gene expression in response to the environment, among which two-component systems (TCSs) play a significant role. TCSs encompass two key components, including a sensory histidine kinase that undergoes autophosphorylation upon activation by a specific signal. Following activation, the sensory histidine kinase transfers the phosphoryl group to the second component, referred to as the response regulator, which subsequently triggers the transcription of target genes. Bioinformatic analysis of sequenced Vibrio isolates predicts that a considerable number of strains possess a minimum of 50 TCSs. However, the majority of these TCSs remain poorly characterized concerning the signals that activate the virulence genes associated with type III secretion system (T3SS), type VI secretion system (T6SS), quorum sensing, biofilm formation, and lipopolysaccharide. This review aims to elucidate TCSs that have been identified to be influential in the modulation of virulence factors in Vibrio species. Given the involvement of numerous TCSs in the regulation of virulence factors, these systems present promising prospects as novel therapeutic targets. Therefore, deciphering their precise functionality holds the utmost significance in comprehending the pathogenesis of Vibrio species.

Indexed as

RegulationTwo-component systemsVibrio speciesVirulence factors

Identifiers

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.