Evidence map›Paper›PMID 41872779›Full record

ArticleBMC infectious diseases2026

Analysis of rpoB mutations associated with rifampicin resistance in Mycobacterium tuberculosis isolates in Malawi.

Stewart Soko, Pizga Kumwenda

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

2 authors.

Stewart SokoDepartment of Biomedical Sciences, Faculty of Health Sciences, Mzuzu University, Private Bag 201, Mzuzu 2, Luwinga, Malawi.
Pizga KumwendaDepartment of Biomedical Sciences, Faculty of Health Sciences, Mzuzu University, Private Bag 201, Mzuzu 2, Luwinga, Malawi. kumwenda.p@mzuni.ac.mw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRifampicin-resistant tuberculosis (RR-TB) remains a major challenge for TB control in Malawi, particularly in densely populated districts such as Blantyre. Most rifampicin resistance is caused by mutations in the rifampicin resistance determining region (RRDR) of the RNA Polymerase Beta gene (rpoB). This study characterized the distribution of RRDR mutations detected by GeneXpert MTB/RIF.

methodsThis was a retrospective analysis of 171 GeneXpert MTB/RIF assay results from Queen Elizabeth Central Hospital (QECH), Drug Resource Enhancement Against AIDS and Malnutrition (DREAM) Blantyre Clinic, Zingwangwa Health Centre, Limbe Health Centre, and Ndirande Health Centre located in Blantyre, Malawi. Demographic factors, along with MTB bacterial load and the mutation patterns specific to probes (A–E) resulting from GeneXpert probe hybridization failures, were examined. The patterns of probe drop-out, which indicate the inability of certain molecular beacon probes to attach to mutated target sequences, served as markers for mutation clusters within the RRDR.

resultsMales dominated the study group accounting for 59.1% (101) of cases, and individuals aged 30–44 years represented the largest age group (89, 52%). Probe E mutations were more prevalent, accounting for 76.02% (130) of all rifampicin resistance–associated detections, consistent with the globally prevalent S531L mutation. Probe D and probe B mutations were present in 14.04% (24) and 6.43% (11) of cases respectively, while no probe C mutations were observed. High MTB DNA yields were common in males [19 (11.1%)] in comparison to females [5 (2.9%)], suggesting delayed health-seeking behaviour among males. Overall, 35.7% (61) of participants presented with medium to high bacterial loads.

conclusionThe present study suggests that rifampicin resistance in Blantyre is overwhelmingly driven by mutations in the region targeted by probe E (codon 529–533), consistent with potential transmission of high fitness MDR-TB strains. Strengthened diagnostic pathways, earlier case-finding, and expanded access to drug susceptibility testing (DST) or sequencing are essential for effective MDR-TB control in Malawi.

Indexed as

Bacterial ProteinsDNA-Directed RNA PolymerasesDrug Resistance, BacterialMutationMycobacterium tuberculosisRifampinTuberculosis, Multidrug-ResistantAdolescentAdultAntibiotics, AntitubercularFemaleHumansMalawiMaleMicrobial Sensitivity TestsMiddle AgedAntibiotics, AntitubercularBacterial ProteinsDNA-Directed RNA PolymerasesRifampinrpoB protein, Mycobacterium tuberculosisMDR-TBMutationMycobacterium tuberculosisrpoB geneRR-TB

Identifiers

PMID41872779
PMCPMC13134099

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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.