Evidence map›Paper›PMID 40655377›Full record

ReviewIndian journal of microbiology2025

Targeting Type III Secretion System using

Shreya, Tarun Pant, Swadha Kailoo, Yatender Kumar

Abstract readReview
In one paragraph

Review in Indian journal of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

ShreyaDepartment of Biological Sciences and Engineering (BSE), Netaji Subhas University of Technology (NSUT), New Delhi, 110078 India.
Tarun Pant *Department of Biological Sciences and Engineering (BSE), Netaji Subhas University of Technology (NSUT), New Delhi, 110078 India.
Swadha Kailoo *Department of Biological Sciences and Engineering (BSE), Netaji Subhas University of Technology (NSUT), New Delhi, 110078 India.
Yatender KumarDepartment of Biological Sciences and Engineering (BSE), Netaji Subhas University of Technology (NSUT), New Delhi, 110078 India.ORCID 0000-0002-9835-9892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most significant problems of the twenty-first century is the appearance and rapid evolution of multiple drug-resistant (MDR) bacterial strains. The emergence of resistance towards available drugs poses a growing threat to global public health. Unfortunately, developing new antibiotics is a tedious and difficult challenge, urging the research community to strive for unusual clinical targets with a different mode of action. The antivirulence strategy disarms pathogenic bacteria and attacks the virulence factors. Type III secretion system (T3SS) facilitates virulence in many pathogenic gram-negative bacteria. T3SS is considered an effective needle-syringe mechanism associated with humans, plants, and animal hosts to inject effectors inside the cytosol of host cells. This review focuses on T3SS, its assembly, and visualization, along with presently developed small molecules, peptides, and antibodies to inhibit the complex. Evaluation of the effectiveness of compounds is in progress on animal models, and promising studies are being conducted to develop antibodies and vaccines that target T3SS. Reports published till now specify that T3SS inhibitors can evolve into innovative antibacterial therapy, bringing about a revolution in the pharmaceutical world. Apart from this, to get a better understanding of the mechanism at the molecular level, the functioning of T3SS in

Indexed as

InhibitorsSalmonellaType III secretion systemTyphoidVirulence

Identifiers

PMID40655377
PMCPMC12246286

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.