Evidence map›Paper›PMID 39900631›Full record

ArticleCommunications biology2025

Deletion of ESX-3 and ESX-4 secretion systems in Mycobacterium abscessus results in highly impaired pathogenicity.

Wassim Daher, Vincent Le Moigne, Yara Tasrini, Shweta Parmar, Danielle L Sexton, John Jairo Aguilera-Correa, Valentin Berdal, Elitza I Tocheva, Jean-Louis Herrmann, Laurent Kremer

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Protein Architecture and Composition in Mycobacterium tuberculosis.Advances in experimental medicine and biology · 2026
    Review
  5. Article
  6. Article
  7. bioRxiv : the preprint server for biology · 2025
    Article
  8. Insights on the Pathogenesis ofJournal of clinical medicine · 2025
    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

10 authors.

Wassim DaherCentre National de la Recherche Scientifique UMR 9004, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, 1919 route de Mende, 34293, Montpellier, France. wassim.daher@irim.cnrs.fr.ORCID http://orcid.org/0000-0001-9026-5333
Vincent Le Moigne *Université Paris-Saclay, UVSQ, Inserm, Infection et inflammation, 78180, Montigny-Le-Bretonneux, France.ORCID http://orcid.org/0000-0003-2012-1750
Yara Tasrini *Centre National de la Recherche Scientifique UMR 9004, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, 1919 route de Mende, 34293, Montpellier, France.ORCID http://orcid.org/0009-0004-6110-2614
Shweta ParmarDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, Canada.
Danielle L SextonDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, Canada.
John Jairo Aguilera-CorreaCentre National de la Recherche Scientifique UMR 9004, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, 1919 route de Mende, 34293, Montpellier, France.
Valentin BerdalCentre National de la Recherche Scientifique UMR 9004, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, 1919 route de Mende, 34293, Montpellier, France.ORCID http://orcid.org/0009-0000-4162-5363
Elitza I TochevaDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, Canada.
Jean-Louis HerrmannUniversité Paris-Saclay, UVSQ, Inserm, Infection et inflammation, 78180, Montigny-Le-Bretonneux, France.ORCID http://orcid.org/0000-0003-2347-6418
Laurent KremerCentre National de la Recherche Scientifique UMR 9004, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, 1919 route de Mende, 34293, Montpellier, France. laurent.kremer@irim.cnrs.fr.ORCID http://orcid.org/0000-0002-6604-4458

Funding

Agence Nationale de la Recherche (French National Research Agency) 19-CE15-0012-01; SUNLIVEFondation pour la Recherche Médicale (Foundation for Medical Research in France) Equipe FRM EQU202103012588Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) Antimicrobial Resistance 202309ARB
6 · The paper itself

Abstract

Type VII secretion systems participate in protein export, virulence, conjugation, and metabolic regulation. Five subtypes (ESX-1 to ESX-5) exist, each with specific roles and well-characterized secretion profiles in various mycobacterial species. Mycobacterium abscessus, encodes only ESX-3 and ESX-4. Here, single and double M. abscessus mutants lacking the main ATPases EccC3 and EccC4 were used to define ESX-3 and ESX-4 contributions to substrate secretion and virulence. Our results demonstrate that EsxG/H secretion depends entirely on ESX-3, whereas both ESX-3 and ESX-4 secrete EsxU/T. Furthermore, two newly identified PE/PPE substrates (MAB_0046/MAB_0047) require ESX-3 for secretion. Functional complementation restored secretion and revealed subpolar localization of these systems. Macrophage infections showed that ESX-3 and ESX-4 contribute to bacterial internalization, phagosomal escape, and intracellular survival. In mice, infections with eccC3- and/or eccC4-deletion mutants resulted in complete survival and reduced bacterial loads in the lungs. These findings demonstrate that both ESX systems drive M. abscessus pathogenicity.

Indexed as

Bacterial ProteinsMycobacterium abscessusMycobacterium Infections, NontuberculousType VII Secretion SystemsAnimalsFemaleGene DeletionMacrophagesMiceVirulenceBacterial ProteinsType VII Secretion Systems

Identifiers

PMID39900631
PMCPMC11791044

What OpenQuestion holds

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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.