Evidence map›Paper›PMID 27482337›Full record

ReviewIranian journal of basic medical sciences2016

Identification of Mycobacterium tuberculosis adherence-mediating components: a review of key methods to confirm adhesin function.

Saiyur Ramsugit, Manormoney Pillay

Open access · greenAbstract readReview
In one paragraph

Review in Iranian journal of basic medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

7 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. In silico design ofHeliyon · 2024
    Article
  3. Article
  4. Review
  5. Transcriptional Profile ofFrontiers in cellular and infection microbiology · 2018
    Article
  6. Article
  7. 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

2 authors at 1 institution in 1 country.

Saiyur RamsugitMedical Microbiology and Infection Control, University of KwaZulu-Natal, Durban, South Africa.
Manormoney PillayMedical Microbiology and Infection Control, University of KwaZulu-Natal, Durban, South Africa.
University of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-adhesion therapy represents a potentially promising avenue for the treatment and prevention of tuberculosis in a post-antibiotic era. Adhesins are surface-exposed microbial structures or molecules that enable pathogenic organisms to adhere to host surfaces, a fundamental step towards host infection. Although several Mycobacterium tuberculosis adhesins have been identified, it is predicted that numerous additional adherence-mediating components contribute to the virulence and success of this pathogen. Significant further research to discern and characterize novel M. tuberculosis adhesins is, therefore, required to gain a holistic account of M. tuberculosis adhesion to the host. This would enable the identification of potential drug and vaccine targets for attenuating M. tuberculosis adherence and infectivity. Several methods have been successfully applied to the study and identification of M. tuberculosis adhesins. In this manuscript, we review these methods, which include adherence assays that utilize wild-type and gene knockout mutant strains, epitope masking and competitive inhibition analyses, extracellular matrix protein binding assays, microsphere adhesion assays, M. tuberculosis auto-aggregation assays, and in silico analyses.

Indexed as

AdhesinMycobacterium –tuberculosisPathogenesisVirulence factor

Identifiers

PMID27482337
PMCPMC4951595
OpenAlexW2462442398

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.