Evidence map›Paper›PMID 42625812›Full record

ArticleFrontiers in epidemiology2026

Mixed-strain infection and heteroresistance in drug-resistant tuberculosis: insights from a whole-genome sequencing pilot.

Mandlenkosi Manika, Lindiwe Modest Faye, Ntandazo Dlatu, Mojisola Clara Hosu, Teke Apalata

Abstract read
In one paragraph

Article in Frontiers in epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mandlenkosi ManikaTuberculosis and Associated Research and Innovation Platform (TARIP), School of Pathology, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, Eastern Cape, South Africa.
Lindiwe Modest FayeTuberculosis and Associated Research and Innovation Platform (TARIP), School of Pathology, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, Eastern Cape, South Africa.
Ntandazo DlatuWalter Sisulu Institute for Clinical Governance, Healthcare Administration, School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa.
Mojisola Clara HosuTuberculosis and Associated Research and Innovation Platform (TARIP), School of Pathology, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, Eastern Cape, South Africa.
Teke ApalataTuberculosis and Associated Research and Innovation Platform (TARIP), School of Pathology, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, Eastern Cape, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mixed-strain Methods: We conducted an exploratory whole-genome sequencing (WGS) analysis of 28 drug-resistant Results: Lineage 4 (46%) and Lineage 2 (43%) predominated, with 10.7% of isolates classified as probable mixed-strain candidates. Heteroallelic variants were most frequently observed in Conclusion: This pilot study provides preliminary genomic evidence of mixed-strain infection and heteroresistance in a high-burden rural setting. While these findings highlight the potential role of subclonal diversity in shaping resistance patterns, their clinical and epidemiological relevance remains uncertain due to the absence of patient-level data and limited sample size. Future studies integrating genomic, clinical, and epidemiological data in larger cohorts and incorporating benchmarking against established tools are required to validate these findings and clarify their implications for tuberculosis control.

Indexed as

DR-TBepidemiologyhetororesistancemixed straintuberculosiswhole genome sequencing

Identifiers

PMID42625812
PMCPMC13489903

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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.