Evidence map›Paper›PMID 40722062›Full record

ArticleBMC infectious diseases2025

Whole-genome sequencing for analyzing the transmission characteristics of drug-resistant Mycobacterium tuberculosis in Ganzhou, China.

Juexin Wang, Chan Chen, Huan Fang, Yong Liao, Qiong Lei, De'an Feng, Meng Wang, Baisheng Li

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

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4 · The record

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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.

Juexin Wang *Ganzhou Center for Disease Control and Prevention, Ganzhou, Jiangxi Province, China.
Chan Chen *Department of Clinical Laboratory, Shenzhen Baoan Hospital, The Second Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong Province, China.
Huan FangGanzhou Center for Disease Control and Prevention, Ganzhou, Jiangxi Province, China.
Yong LiaoGanzhou Center for Disease Control and Prevention, Ganzhou, Jiangxi Province, China.
Qiong LeiGanzhou Center for Disease Control and Prevention, Ganzhou, Jiangxi Province, China.
De'an FengGanzhou Center for Disease Control and Prevention, Ganzhou, Jiangxi Province, China.
Meng WangGanzhou Center for Disease Control and Prevention, Ganzhou, Jiangxi Province, China.
Baisheng LiGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China. libsn@126.com.

Funding

Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response 2023B1212010010the Science and Technology Plan Project of Jiangxi Provincial Health Commission 202410093
6 · The paper itself

Abstract

objectiveThe study aimed to understand the drug resistance profile and transmission characteristics of drug-resistant Mycobacterium tuberculosis (MTB) in Ganzhou, China, to provide a scientific basis for developing prevention and control strategies.

methodsDNA extracted from re-cultured positive strains underwent whole-genome sequencing (WGS). The online platform SAM-TB was used to identify drug resistance-related mutations in each strain, construct a phylogenetic tree, and calculate the pairwise strain single-nucleotide polymorphism (SNP) distances. A threshold of 12 SNPs between pairwise strains was set to identify transmission clusters. Epidemiological investigations were conducted for patients within these transmission clusters to analyze the characteristics of drug-resistant tuberculosis (TB) transmission.

resultsA total of 82 strains were analyzed. The most common mutations observed for isoniazid, rifampicin, ethambutol, and streptomycin were katG (S315T, 32/61), rpoB (S450L, 13/37), embB (M306V, 5/12), and rpsL (K43R, 18/26), respectively. Mutations were also observed in genes conferring resistance to other drugs, including pncA (pyrazinamide), gyrA (ofloxacin), rrs, and eis (aminoglycosides). The strains belonged to lineage 2 (75.61%, 62/82) and 4 (24.39%, 20/82). Three clusters containing 12 drug-resistant strains were identified as transmission clusters, ranging in size from 2 to 8, with a clustering rate of 14.63% (12/82). Notably, lineage 2 strains were more prevalent in clustered cases than lineage 4 strains (19.35%, 12/62 vs. 0%, 0/20, Fisher’s exact test, P = 0.033). The isoniazid resistance rate was significantly higher in clustered strains (100%, 12/12) than in non-clustered strains (70.00%, 49/70) (Fisher’s exact test, P = 0.031). Two potential transmission chains of drug-resistant TB were identified.

conclusionThis study utilized WGS technology to provide important data on the genetic mutation types and transmission dynamics of drug-resistant TB in Ganzhou. WGS demonstrates significant potential in early prediction of drug resistance in TB and identification of recent transmission events, offering essential support for monitoring public health events and intervening in drug-resistant tuberculosis.

Indexed as

Drug Resistance, Multiple, BacterialMycobacterium tuberculosisTuberculosis, Multidrug-ResistantWhole Genome SequencingAntitubercular AgentsBacterial ProteinsChinaGenome, BacterialHumansMicrobial Sensitivity TestsMutationPhylogenyPolymorphism, Single NucleotideAntitubercular AgentsBacterial ProteinsDrug-resistantEpidemiological investigationMycobacterium tuberculosisTransmissionWhole-genome sequencing

Identifiers

PMID40722062
PMCPMC12306122

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LicenceCC BY-NC-ND
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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.