Evidence map›Paper›PMID 40053148›Full record

ArticleCurrent microbiology2025

Prevalence and Genetic Profiling of Second-line Drug Resistant Tuberculosis at the Tertiary Care Center of Northern India.

Nandini Singh, Amresh Kumar Singh, Sushil Kumar, Akanksha Chaudhary, Ashwini Mishra, Narendra Pratap Singh

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Article in Current microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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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

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nandini SinghDepartment of Zoology, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, Uttar Pradesh, 273009, India.
Amresh Kumar SinghDepartment of Microbiology, Baba Raghav Das Medical College, Gorakhpur, Uttar Pradesh, 273013, India.
Sushil KumarDepartment of Zoology, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, Uttar Pradesh, 273009, India. sushil.zool@ddugu.ac.in.ORCID http://orcid.org/0000-0002-5552-2039
Akanksha ChaudharyDepartment of Microbiology, Baba Raghav Das Medical College, Gorakhpur, Uttar Pradesh, 273013, India.
Ashwini MishraDepartment of Tuberculosis and Chest, Baba Raghav Das Medical College, Gorakhpur, Uttar Pradesh, 273013, India.
Narendra Pratap SinghDepartment of Microbiology, Baba Raghav Das Medical College, Gorakhpur, Uttar Pradesh, 273013, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant TB (XDR-TB) complicates control efforts. We investigated the prevalence and genetic patterns of pre-XDR and XDRTB, by employing second-line line probe assays (SL-LPA). This prospective cohort study was conducted at the Intermediate Reference Laboratory, from November 2023 to May 2024. We screened 1253 samples via Genxpert followed by florescence microscopy, and mutational/resistance analysis via the GenoType MTBDRplus/FL-LPA (first line-line probe assay) and MTBDRsl/SL-LPA for the mutation patterns. We identified 355 rifampicin drug-resistant TB isolates, 260 of which were smear positive samples obtained for FL-LPA and SL-LPA. Finally, 255 MDR/RR-TB patients were analyzed and 73(28.62%) patients exhibited second-line drug (SLD) resistance. Among the cases, 65(89.04%) were found to be resistant solely to fluoroquinolones (FQ), whereas 3(4.11%) were resistant only to aminoglycosides (pre-XDR TB). However, 5(6.8%) patients were resistant to both FQ and aminoglycosides (XDR-TB). We also found that males 44(60.37%) were more affected by SLD resistance than 29(39.72%) females, however SLD resistant females were younger than males (26.97 ± 14.84 vs. 35.84 ± 15.26, p = 0.016). The number of previously treated patients were significantly greater in SLD-resistance than in SLD-sensitive patients. The most common mutation in the gyrA gene was D94G, which was observed in 52(71.23%) cases, followed by A90V in 10(13.69%), D94N and D94A in 4(5.48%), whereas the rrs gene presented the rrsMUT1 (A1401G) mutation in 7(9.58%) and the rrsMUT2(G1484T) mutation in 1(1.37%) of SLD-resistant patients. The alarming rate of SLD-resistance among MDR-TB patients highlights the need for improved management strategies focused on early and accurate diagnosis of DR-TB.

Indexed as

Antitubercular AgentsExtensively Drug-Resistant TuberculosisMycobacterium tuberculosisTuberculosis, Multidrug-ResistantAdolescentAdultDrug Resistance, Multiple, BacterialFemaleFluoroquinolonesGenotypeHumansIndiaMaleMicrobial Sensitivity TestsMiddle AgedMutationAntitubercular AgentsFluoroquinolonesRifampin

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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.