Evidence map›Paper›PMID 36602330›Full record

ArticleMicrobiology spectrum2023

CRISPR-Based Detection, Identification and Typing of Mycobacterium tuberculosis Complex Lineages.

A Padane, Z Harouna Hamidou, M Drancourt, J Saad

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 at 1 institution in 3 countries.

A PadaneAix-Marseille-Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France.
Z Harouna HamidouAix-Marseille-Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France.
M DrancourtAix-Marseille-Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France.ORCID 0000-0003-0768-1139
J SaadAix-Marseille-Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France.ORCID 0000-0002-6187-5893
Aix-Marseille Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The polymerase chain reaction (PCR)-based detection of Mycobacterium tuberculosis (M. tuberculosis) complex (MTC) in clinical samples is a first-line approach by which to diagnose tuberculosis in clinical microbiology laboratories. In this study, the genome-wide profiling of 3,156 mycobacterial genomes using Roary determined the CRISPR-csm4 gene as specific for MTB. Real time (RT)-PCR and the PCR-sequencing of CRISPR-csm4, tested on a collection of 20 MTC and 5 nontuberculous mycobacteria, confirmed the 20 MTC isolates, whereas the 5 nontuberculous isolates were not detected. Further, 65 of the leftover clinical samples, including 25 GeneXpert-positive and 40 GeneXpert-negative samples, that were used to evaluate the CRISPR-csm4-MTB assay in the clinical microbiology laboratory setting yielded expected results in every case, further allowing for the identification of the M. tuberculosis Beijing lineage. RT-PCR and the PCR-sequencing of CRISPR-csm4 could be implanted in the clinical microbiology laboratory to complement the currently used assays, with the potential of increasing the specification of the MTC pathogens responsible for tuberculosis.

Indexed as

Mycobacterium tuberculosisTuberculosisHumansNontuberculous MycobacteriaReal-Time Polymerase Chain ReactionBeijing lineageclinical diagnosisCRISPR-csm4GeneXpertlineagesMycobacterium tuberculosis complexPCRtuberculosis

Identifiers

PMID36602330
PMCPMC9927308
OpenAlexW4313544398

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.