Evidence map›Paper›PMID 40175930›Full record

ArticleBMC microbiology2025

Direct detection from sputum for drug-resistant Mycobacterium tuberculosis using a CRISPR-Cas14a-based approach.

Guohui Xiao, Houming Liu, Hui Xu, Hongyu Shi, Dongxin Liu, Min Ou, Peng Liu, Guoliang Zhang

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Molecular Mechanisms Underlying Antimicrobial Resistance in Mycobacteria.International journal of molecular sciences · 2026
    Review
  4. Point of care antimicrobial susceptibility testing.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  5. Review
  6. Review
  7. Advances in the detection of Drug-Resistant bacteria: current trends and innovations.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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

8 authors.

Guohui Xiao *National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, 518112, China.
Houming Liu *Department of Clinical Laboratory, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, 518112, China.
Hui Xu *National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, 518112, China.
Hongyu ShiSchool of clinical medicine, Southwest Medical University, Luzhou, 646000, China.
Dongxin LiuNational Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, 518112, China.
Min OuNational Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, 518112, China.
Peng LiuNational Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, 518112, China.
Guoliang ZhangNational Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, 518112, China. szdsyy@aliyun.com.

Funding

National Key Research and Development Program of China 2020YFA0907200National Natural Science Foundation of China 82170009National Natural Science Foundation of China 82300128Sanming Project of Medicine in Shenzen Municipality SZZYSM202311009Science and Technology Planning Project of Guangdong Province 2020B1111170014Science Fund for Distinguished Young Scholars of Guangdong Province 0620220214Shenzhen Scientific and Technological Foundation JCYJ20210324130009024Shenzhen Scientific and Technological Foundation JCYJ20220530163216036Shenzhen Scientific and Technological Foundation KCXFZ20211020163545004Shenzhen Scientific and Technological Foundation RCJC20221008092726022
6 · The paper itself

Abstract

The increasing prevalence of multidrug-resistant tuberculosis (MDR-TB) highlights the urgent need for an efficient approach to identify Mycobacterium tuberculosis complex (MTBC) strains resistant to rifampicin (RIF) and isoniazid (INH). In response, we developed a CRISPR-Cas14a MTB RIF/INH platform that can detect the most common mutations associated with RIF and INH resistance. To evaluate the sensitivity and specificity of our CRISPR-Cas14a MTB RIF/INH platform, we carried out a comprehensive assessment using clinical isolates of M. tuberculosis and sputum samples from TB patients, making direct comparisons with phenotypic drug susceptibility testing (pDST). A total of 60 clinical isolates from TB patients were utilized, consisting of 18 RIF mono-resistant, 15 INH mono-resistant, 24 MDR isolates, and 3 fully susceptible isolates. Among the 42 RIF-resistant isolates, our platform accurately identified 39, achieving a sensitivity of 93.3% (95% CI, 80.0-98.5) and a specificity of 100% (95% CI, 81.6-100). Similarly, out of the 39 INH-resistant isolates, the platform successfully identified 38, demonstrating a sensitivity of 97.5% (95% CI, 86.5-99.9) and a specificity of 100% (95% CI, 83.8-100) when compared with pDST. Moreover, in the analysis of 55 sputum samples, our platform accurately identified RIF resistance in 10 out of 12 samples (85.7%) and INH resistance in all 11 samples (100%). Notably, excluding the nucleic acid extraction step, the entire testing procedure can be completed in approximately 1.5 h. These results suggest that the CRISPR-Cas14a MTB RIF/INH platform is a reliable and promising novel tool for detecting RIF and INH resistance in isolates or directly from sputum samples.

Indexed as

CRISPR-Cas SystemsMycobacterium tuberculosisSputumTuberculosis, Multidrug-ResistantAntitubercular AgentsDrug Resistance, Multiple, BacterialHumansIsoniazidMicrobial Sensitivity TestsMutationRifampinSensitivity and SpecificityAntitubercular AgentsIsoniazidRifampinCRISPR-Cas14aDrug-resistantIsoniazidRifampicinTuberculosis

Identifiers

PMID40175930
PMCPMC11963294

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.