Evidence map›Paper›PMID 26303795›Full record

ArticleAntimicrobial agents and chemotherapy2015

Susceptibility of Mycobacterium abscessus to antimycobacterial drugs in preclinical models.

Andrés Obregón-Henao, Kimberly A Arnett, Marcela Henao-Tamayo, Lisa Massoudi, Elizabeth Creissen, Koen Andries, Anne J Lenaerts, Diane J Ordway

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Challenges in the Diagnosis and Treatment of Mycobacterium abscessus Infections.Revista da Sociedade Brasileira de Medicina Tropical · 2026
    Review
  8. Article
  9. Review
  10. Review
  11. Characterization of new mouse models of acute and chronicAntimicrobial agents and chemotherapy · 2025
    Article
  12. Article
  13. Article
  14. Toward better cures forClinical microbiology reviews · 2024
    Review
  15. Review
  16. An optimized cyclophosphamide-treated mouse model ofAntimicrobial agents and chemotherapy · 2024
    Article
  17. Review
  18. Review
  19. Article
  20. Review

24 more citing papers are in PubMed but not listed here.

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

8 authors.

Andrés Obregón-HenaoMycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Kimberly A ArnettMycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Marcela Henao-TamayoMycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Lisa MassoudiMycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Elizabeth CreissenMycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Koen AndriesJanssen Pharmaceutica, Beerse, Belgium.
Anne J LenaertsMycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Diane J OrdwayMycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA d.ordway@colostate.edu.

Funding

Novel preclinical efficacy models against nontuberculosis mycobacteriaR21AI099534 · NIAID · COLORADO STATE UNIVERSITY · PI ORDWAY, DIANE JOYCE · 2013 to 2014
$409k
NIAID NIH HHS HHSN272201000009INIAID NIH HHS R21 AI099534PHS HHS AIO99534-02PHS HHS HHSN272201000009I/HHSN27200001PHS HHS R21AIO99534-02
6 · The paper itself

Abstract

Over the last 10 years, Mycobacterium abscessus group strains have emerged as important human pathogens, which are associated with significantly higher fatality rates than any other rapidly growing mycobacteria. These opportunistic pathogens are widespread in the environment and can cause a wide range of clinical diseases, including skin, soft tissue, central nervous system, and disseminated infections; by far, the most difficult to treat is the pulmonary form. Infections with M. abscessus are often multidrug-resistant (MDR) and require prolonged treatment with various regimens and, many times, result in high mortality despite maximal therapy. We report here the evaluation of diverse mouse infection models for their ability to produce a progressive high level of infection with M. abscessus. The nude (nu/nu), SCID (severe combined immunodeficiency), gamma interferon knockout (GKO), and granulocyte-macrophage colony-stimulating factor (GMCSF) knockout mice fulfilled the criteria for an optimal model for compound screening. Thus, we set out to assess the antimycobacterial activity of clarithromycin, clofazimine, bedaquiline, and clofazimine-bedaquiline combinations against M. abscessus-infected GKO and SCID murine infection models. Treatment of GKO and SCID mice with a combination of clofazimine and bedaquiline was the most effective in decreasing the M. abscessus organ burden.

Indexed as

AnimalsAnti-Bacterial AgentsClarithromycinClofazimineDiarylquinolinesGranulocyte-Macrophage Colony-Stimulating FactorMiceMice, KnockoutMice, SCIDMicrobial Sensitivity TestsMycobacteriumMycobacterium InfectionsAnti-Bacterial AgentsbedaquilineClarithromycinClofazimineDiarylquinolinesGranulocyte-Macrophage Colony-Stimulating Factor

Identifiers

PMID26303795
PMCPMC4604395

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.