Evidence map›Paper›PMID 40917633›Full record

ArticleEvolution, medicine, and public health2025

Within-host population dynamics of extensively drug-resistant

Peng Xu, Xuecong Zhang, Chi Wu, Yiwang Chen, Wenjie Lai, Liyong Liu, Jialei Liang, Dan Li, Ruimin Hong, Senlin Zhan and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Evolution, medicine, and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  4. 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

15 authors.

Peng XuNational Clinical Research Center for Infectious Diseases, Shenzhen Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Shenzhen, China.
Xuecong ZhangNational Clinical Research Center for Infectious Diseases, Shenzhen Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Shenzhen, China.
Chi WuDepartment of Clinical Laboratory, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Yiwang ChenKey Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
Wenjie LaiDepartment of Clinical Laboratory, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0009-0009-4735-9970
Liyong LiuDepartment of Clinical Laboratory, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Jialei LiangKey Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
Dan LiNational Clinical Research Center for Infectious Diseases, Shenzhen Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Shenzhen, China.
Ruimin HongNational Clinical Research Center for Infectious Diseases, Shenzhen Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Shenzhen, China.
Senlin ZhanDepartment of Pulmonary Medicine and Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, China.
Peize ZhangDepartment of Pulmonary Medicine and Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0002-4023-0228
Howard TakiffLaboratorio de Genética Molecular, CMBC, Instituto Venezolano de Investigaciones Científicas, IVIC, Caracas, Venezuela.
Guofang DengNational Clinical Research Center for Infectious Diseases, Shenzhen Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Shenzhen, China.ORCID https://orcid.org/0000-0003-2479-3327
Jiuxin QuNational Clinical Research Center for Infectious Diseases, Shenzhen Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Shenzhen, China.
Qian GaoNational Clinical Research Center for Infectious Diseases, Shenzhen Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Shenzhen, China.ORCID https://orcid.org/0000-0002-8489-3672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Drug resistance is a major contributor to tuberculosis (TB) deaths worldwide. Understanding the dynamics of in-host evolution of Methodology: The microevolution of drug-resistant MTB was studied in three patients with long-standing, extensively drug-resistant TB (XDR-TB) by analyzing whole genome sequences of serial isolates collected during treatment. Results: We identified three patterns of Conclusions and implications: The microevolution of drug-resistant MTB within patients on long-term ineffective treatment is complex. Subpopulations with different resistance-conferring mutations can compete with each other and with newly emerged subpopulations. Often, one subpopulation eventually dominates and achieves long-term stability. This work deepens the understanding of MTB microevolution in XDR-TB patients.

Indexed as

drug resistance mutationextensively drug-resistant TBineffective treatmentmicroevolutiontuberculosis

Identifiers

PMID40917633
PMCPMC12409779

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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.