Evidence map›Paper›PMID 25186281›Full record

ArticleThe Journal of pathology2015

Mycobacterium tuberculosis dysregulates MMP/TIMP balance to drive rapid cavitation and unrestrained bacterial proliferation.

André Kübler, Brian Luna, Christer Larsson, Nicole C Ammerman, Bruno B Andrade, Marlene Orandle, Kevin W Bock, Ziyue Xu, Ulas Bagci, Daniel J Mollura and 13 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

62 citing papers in PubMed, 102 citations in OpenAlex.

  1. Doxycycline host-directed therapy in human pulmonary tuberculosis.The Journal of clinical investigation · 2021
    Trial
  2. Article
  3. Article
  4. Experimental dissection of tuberculosis protective immunity: a human perspective.Frontiers in cellular and infection microbiology · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Normalizing granuloma vasculature and matrix improves drug delivery and reduces bacterial burden in tuberculosis-infected rabbits.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. MedComm · 2023
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Animal models for COVID-19 and tuberculosis.Frontiers in immunology · 2023
    Review
  15. Heliyon · 2022
    Article
  16. Response to Hypoxia and the Ensuing Dysregulation of Inflammation ImpactsAmerican journal of respiratory and critical care medicine · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Article

2 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

23 authors at 8 institutions in 4 countries.

André KüblerInfectious Diseases and Immunity, Imperial College London, UK; Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Brian Luna
Christer Larsson
Nicole C Ammerman
Bruno B Andrade
Marlene Orandle
Kevin W Bock
Ziyue Xu
Ulas Bagci
Daniel J Mollura
John Marshall
Jay Burns
Kathryn Winglee
Bintou Ahmadou Ahidjo
Laurene S Cheung
Mariah Klunk
Sanjay K Jain
Nathella Pavan Kumar
Subash Babu
Alan Sher
Jon S Friedland
Paul T G Elkington
William R Bishai
National Institutes of Health · USJohns Hopkins University · USHoward Hughes Medical Institute · USCenter for Cancer Research · USImperial College London · GBInternational Centers for Excellence in Research · INUmeå University · SEUniversity of Southampton · GB

Funding

India International Center for Excellence in ResearchZIAAI001065 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI NUTMAN, THOMAS · 2009 to 2025
$19.0M
Training Program in Cellular and Molecular MedicineT32GM008752 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI RAO, RAJINI · 2000 to 2019
$11.7M
Regulation Of Immunopathology In Bacterial And Parasitic DiseaseZIAAI000843 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI SHER, ALAN · 2009 to 2022
$11.1M
Mycobacterium tuberculosis Survival Regulatory GenesR01AI037856 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BISHAI, WILLIAM RAMSES · 1997 to 2020
$7.2M
GENE REGULATION AND VIRULENCE IN TB AND MACR01AI036973 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BISHAI, WILLIAM RAMSES · 1999 to 2014
$5.7M
Novel imaging biomarkers to address fundamental controversies in TB pathogenesisDP2OD006492 · OD · JOHNS HOPKINS UNIVERSITY · PI JAIN, SANJAY · 2009 to 2014
$2.9M
PK/PD Evaluation Resistance Development in Caseating GranulomaR01AI079590 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BISHAI, WILLIAM RAMSES · 2008 to 2011
$2.5M
Molecular Imaging for Macrophage-Associated Pulmonary InflammationR01HL116316 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI JAIN, SANJAY · 2012 to 2014
$1.2M
M. Tuberculosis Influences Host Matrix Metalloproteinases and Granuloma FormationF32AI088964 · NIAID · JOHNS HOPKINS UNIVERSITY · PI AMMERMAN, NICOLE CHRISTINE · 2011 to 2013
$155k
NHLBI NIH HHS R01 HL116316NHLBI NIH HHS R01-HL116316NIAID NIH HHS F32 AI088964NIAID NIH HHS R01 AI036973NIAID NIH HHS R01 AI037856NIAID NIH HHS R01 AI 079590NIAID NIH HHS R01 AI079590NIGMS NIH HHS T32 GM008752NIH HHS DP2 OD006492NIH HHS DP2-OD6492
6 · The paper itself

Abstract

Active tuberculosis (TB) often presents with advanced pulmonary disease, including irreversible lung damage and cavities. Cavitary pathology contributes to antibiotic failure, transmission, morbidity and mortality. Matrix metalloproteinases (MMPs), in particular MMP-1, are implicated in TB pathogenesis. We explored the mechanisms relating MMP/TIMP imbalance to cavity formation in a modified rabbit model of cavitary TB. Our model resulted in consistent progression of consolidation to human-like cavities (100% by day 28), with resultant bacillary burdens (>10(7) CFU/g) far greater than those found in matched granulomatous tissue (10(5) CFU/g). Using a novel, breath-hold computed tomography (CT) scanning and image analysis protocol, we showed that cavities developed rapidly from areas of densely consolidated tissue. Radiological change correlated with a decrease in functional lung tissue, as estimated by changes in lung density during controlled pulmonary expansion (R(2)  = 0.6356, p < 0.0001). We demonstrated that the expression of interstitial collagenase (MMP-1) was specifically greater in cavitary compared to granulomatous lesions (p < 0.01), and that TIMP-3 significantly decreased at the cavity surface. Our findings demonstrated that an MMP-1/TIMP imbalance is associated with the progression of consolidated regions to cavities containing very high bacterial burdens. Our model provided mechanistic insight, correlating with human disease at the pathological, microbiological and molecular levels. It also provided a strategy to investigate therapeutics in the context of complex TB pathology. We used these findings to predict a MMP/TIMP balance in active TB and confirmed this in human plasma, revealing the potential of MMP/TIMP levels as key components of a diagnostic matrix aimed at distinguishing active from latent TB (PPV = 92.9%, 95% CI 66.1-99.8%, NPV = 85.6%; 95% CI 77.0-91.9%).

Indexed as

AnimalsDisease Models, AnimalFemaleHomeostasisImage Processing, Computer-AssistedLungMatrix Metalloproteinase 1MetalloproteasesMycobacterium tuberculosisRabbitsSkin TestsTissue Inhibitor of Metalloproteinase-3Tissue Inhibitor of MetalloproteinasesTomography, X-Ray ComputedTuberculosisMatrix Metalloproteinase 1MetalloproteasesTissue Inhibitor of Metalloproteinase-3Tissue Inhibitor of Metalloproteinasescavitycomputed tomographymatrix metalloproteinasetuberculosis

Identifiers

PMID25186281
PMCPMC4293239
OpenAlexW2063593097

What OpenQuestion holds

Textmetadata
LicenceTDM
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.