Evidence map›Paper›PMID 32111900›Full record

ArticleScientific reports2020

A mouse model of pulmonary Mycobacteroides abscessus infection.

Emily C Maggioncalda, Elizabeth Story-Roller, Julian Mylius, Peter Illei, Randall J Basaraba, Gyanu Lamichhane

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% of its field
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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Journal of bacteriology · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Expanding the scope ofbioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. DynamicAmerican journal of respiratory and critical care medicine · 2025
    Observational
  15. Article
  16. Article
  17. Review
  18. Toward better cures forClinical microbiology reviews · 2024
    Review
  19. Oral oxaborole MRX-5 exhibits efficacy against pulmonaryAntimicrobial agents and chemotherapy · 2024
    Article
  20. An optimized cyclophosphamide-treated mouse model ofAntimicrobial agents and chemotherapy · 2024
    Article
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 at 2 institutions in 1 country.

Emily C MaggioncaldaDivision of Infectious Diseases, School of Medicine, Johns Hopkins University, Baltimore, MD, 21287, USA.
Elizabeth Story-RollerDivision of Infectious Diseases, School of Medicine, Johns Hopkins University, Baltimore, MD, 21287, USA.
Julian MyliusDepartment of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
Peter IlleiThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Randall J BasarabaDepartment of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, 80523, USA.ORCID http://orcid.org/0000-0002-3593-5012
Gyanu LamichhaneDivision of Infectious Diseases, School of Medicine, Johns Hopkins University, Baltimore, MD, 21287, USA. gyanu@jhu.edu.
Johns Hopkins University · USColorado State University · US

Funding

Metabolomics Core U19AI111224 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI MOODY, DAVID BRANCH, MURRAY, MEGAN B · 2015 to 2021
$20.4M
RESEARCH TRAINING IN MICROBIAL DISEASEST32AI007291 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JOEL N BLANKSON, Sara Elizabeth Cosgrove · 1986 to 2026
$9.1M
Disrupting Biofilm Formation to Improve TB Drug TreatmentR01AI106733 · NIAID · COLORADO STATE UNIVERSITY · PI BASARABA, RANDALL J · 2013 to 2017
$2.3M
A strategy to treat M. abscessus infectionsR21AI137720 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LAMICHHANE, GYANU · 2019 to 2020
$450k
The Role of Atypical Cell Wall Biology of Mycobacterium abscessus in Pulmonary Infection and TherapyF31HL147392 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MAGGIONCALDA, EMILY · 2019 to 2020
$62k
NHLBI NIH HHS F31 HL147392NIAID NIH HHS R01 AI106733NIAID NIH HHS R21 AI137720NIAID NIH HHS T32 AI007291NIAID NIH HHS U19 AI111224
6 · The paper itself

Abstract

There is no preclinical mouse model to investigate pulmonary Mycobacteroides abscessus (formerly Mycobacterium abscessus) infection in an immunocompetent mouse strain, especially in the context of antibiotic testing and regimen development. We developed a mouse model of pulmonary M. abscessus infection using the aerosolized route of infection that leads to an increase in bacterial burden post- implantation and develops pathology as a result. In this mouse model, treatment with corticosteroid allows for initial proliferation and sustained M. abscessus pulmonary infection and permits evaluation of efficacies of antibiotics. Administration of corticosteroids that permitted higher levels of bacterial burden in the lungs were more likely to have pathology. Treatment of mice with antibiotics administered intranasally or subcutaneously significantly reduced lung M. abscessus burden. In addition to the reference strain, independent clinical isolates of M. abscessus also readily establish infection and proliferate in the lungs of mice in this model.

Indexed as

AnimalsAnti-Bacterial AgentsDisease Models, AnimalFemaleHumansLung DiseasesMiceMycobacterium abscessusMycobacterium Infections, NontuberculousAnti-Bacterial Agents

Identifiers

PMID32111900
PMCPMC7048719
OpenAlexW3010444455

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.