Evidence map›Paper›PMID 39393282›Full record

ArticleDrug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy2024

Widespread loss-of-function mutations implicating preexisting resistance to new or repurposed anti-tuberculosis drugs.

Derek Conkle-Gutierrez, Bria M Gorman, Nachiket Thosar, Afif Elghraoui, Samuel J Modlin, Faramarz Valafar

Abstract read
In one paragraph

Article in Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. A Case of Transmission of Bedaquiline- and Linezolid-Resistant Tuberculosis.International journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. 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

6 authors.

Derek Conkle-GutierrezLaboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, USA.
Bria M GormanLaboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, USA.
Nachiket ThosarLaboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, USA.
Afif ElghraouiLaboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, USA.
Samuel J ModlinLaboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, USA.
Faramarz ValafarLaboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, USA. Electronic address: faramarz@sdsu.edu.

Funding

Evolutionary and Functional Significance of Novel Mutations in MDR-XDR TBR01AI105185 · NIAID · SAN DIEGO STATE UNIVERSITY · PI VALAFAR, FARAMARZ · 2013 to 2021
$5.3M
Undetected Drug resistance and Tolerance in lesions of recurrent TBR01AI163202 · NIAID · SAN DIEGO STATE UNIVERSITY · PI VALAFAR, FARAMARZ · 2022 to 2025
$2.8M
NIAID NIH HHS R01 AI105185NIAID NIH HHS R01 AI163202
6 · The paper itself

Abstract

backgroundFive New or Repurposed Drugs (NRDs) were approved in the last decade for treatment of multi-drug resistant tuberculosis: bedaquiline, clofazimine, linezolid, delamanid, and pretomanid. Unfortunately, resistance to these drugs emerged faster than anticipated, potentially due to preexisting resistance in naïve strains. Previous investigations into the rapid emergence have mostly included short variants. For the first time, we utilize de novo-assembled genomes, and systematically include Structural Variations (SV) and heterogeneity to comprehensively study this rapid emergence. We show high prevalence of preexisting resistance, identify novel markers of resistance, and lay the foundation for preventing preexisting resistance in future drug development.

methodsFirst, a systematic literature review revealed 313 NRD resistance variants in 13 genes. Next, 409 globally diverse clinical isolates collected prior to the drugs' programmatic use (308 were multidrug resistant, 106 had de novo assembled genomes) were utilized to study the 13 genes comprehensively for conventional, structural, and heterogeneous variants.

findingsWe identified 5 previously reported and 67 novel putative NRD resistance variants. These variants were 2 promoter mutations (in 8/409 isolates), 13 frameshifts (21/409), 6 SVs (9/409), 35 heterogeneous frameshifts (32/409) and 11 heterogeneous SVs (12/106). Delamanid and pretomanid resistance mutations were most prevalent (48/409), while linezolid resistance mutations were least prevalent (8/409).

interpretationPreexisting mutations implicated in resistance to at least one NRD was highly prevalent (85/409, 21 %). This was mostly caused by loss-of-function mutations in genes responsible for prodrug activation and efflux pump regulation. These preexisting mutations may have emerged through a bet-hedging strategy, or through cross-resistance with non-tuberculosis drugs such as metronidazole. Future drugs that could be resisted through loss-of-function in non-essential genes may suffer from preexisting resistance. The methods used here for comprehensive preexisting resistance assessment (especially SVs and heterogeneity) may mitigate this risk during early-stage drug development.

Indexed as

Antitubercular AgentsDrug RepositioningDrug Resistance, Multiple, BacterialMycobacterium tuberculosisTuberculosis, Multidrug-ResistantDiarylquinolinesHumansLoss of Function MutationMicrobial Sensitivity TestsAntitubercular AgentsbedaquilineDiarylquinolinesDrug resistanceHeterogeneityPreexisting resistanceStructural variationTuberculosis

Identifiers

PMID39393282
PMCPMC12981229

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LicenceCC BY-NC-ND
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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.