Evidence map›Paper›PMID 38870522›Full record

ArticleGenomics, proteomics & bioinformatics2025

Deep Amplicon Sequencing Reveals Culture-dependent Clonal Selection of Mycobacterium tuberculosis in Clinical Samples.

Jiuxin Qu, Wanfei Liu, Shuyan Chen, Chi Wu, Wenjie Lai, Rui Qin, Feidi Ye, Yuanchun Li, Liang Fu, Guofang Deng and 3 more

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Open-access genomic drug resistance prediction tools forJournal of clinical microbiology · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Whole-genome sequencing reveals transmission pattern and drug resistance ofFrontiers in cellular and infection microbiology · 2024
    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

13 authors.

Jiuxin QuDepartment of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518114, China.ORCID 0000-0003-1061-2353
Wanfei LiuShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Area, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0000-0002-6637-6807
Shuyan ChenDepartment of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518114, China.ORCID 0000-0003-4148-8703
Chi WuDepartment of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518114, China.ORCID 0009-0006-8841-1796
Wenjie LaiDepartment of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518114, China.ORCID 0009-0009-4735-9970
Rui QinShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Area, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0000-0001-9370-4290
Feidi YeDepartment of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518114, China.ORCID 0009-0003-5889-5935
Yuanchun LiDepartment of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518114, China.ORCID 0000-0001-7143-8884
Liang FuDivision Two of Pulmonary Diseases Department, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518114, China.ORCID 0000-0003-1112-8010
Guofang DengDivision Two of Pulmonary Diseases Department, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518114, China.ORCID 0000-0003-2479-3327
Lei LiuDepartment of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518114, China.ORCID 0009-0008-5132-7093
Qiang LinShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Area, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0000-0003-2882-7758
Peng CuiShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Area, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0000-0003-2989-571X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The commonly-used drug susceptibility testing (DST) relies on bacterial culture and faces shortcomings such as long turnaround time and clonal/subclonal selection biases. Here, we developed a targeted deep amplicon sequencing (DAS) method directly applied to clinical specimens. In this DAS panel, we examined 941 drug-resistant mutations (DRMs) associated with 20 anti-tuberculosis drugs with only 4 pg of initial DNA input, and reduced the clinical testing time from 20 days to 2 days. A prospective study was conducted using 115 clinical specimens, predominantly positive for the Xpert®  Mycobacterium tuberculosis/rifampicin (Xpert MTB/RIF) assay, to evaluate DRM detection. DAS was performed on culture-free specimens, while culture-dependent isolates were used for phenotypic DST, DAS, and whole-genome sequencing (WGS). For in silico molecular DST, our result based on DAS panel revealed the similar accuracy to three published reports based on WGS. For 82 isolates, application of DAS using the resistance-determining mutation method showed better accuracy (93.03% vs. 92.16%), sensitivity (96.10% vs. 95.02%), and specificity (91.33% vs. 90.62%) than WGS using the Mykrobe software. Compared to culture-dependent WGS, culture-free DAS provides a full picture of sequence variation at the population level, exhibiting in detail the gain-and-loss variants caused by bacterial culture. Our study performs a systematic verification of the advantages of DAS in clinical applications and comprehensively illustrates the discrepancies in Mycobacterium tuberculosis before and after culture.

Indexed as

High-Throughput Nucleotide SequencingMycobacterium tuberculosisAntitubercular AgentsDrug Resistance, BacterialHumansMicrobial Sensitivity TestsMutationProspective StudiesWhole Genome SequencingAntitubercular AgentsCulture-dependentCulture-freeDeep amplicon sequencingDrug susceptibility testingMycobacterium tuberculosis

Identifiers

PMID38870522
PMCPMC11978391

What OpenQuestion holds

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Registered trials

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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.