Evidence map›Paper›PMID 39527228›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Exploring the Role of Tertiary Lymphoid Structures Using a Mouse Model of Bacteria-Infected Lungs.

Jean-Luc Teillaud, Lucile Regard, Clémence Martin, Sophie Sibéril, Pierre-Régis Burgel

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jean-Luc TeillaudUMRS 1135 Sorbonne Université, Faculté de Santé Sorbonne Université, Paris, France. jean-luc.teillaud@inserm.fr.ORCID 0000-0003-4442-9565
Lucile RegardUniversité Paris Cité, Institut Cochin, Inserm U1016, Paris, France.ORCID 0000-0002-6530-4449
Clémence MartinUniversité Paris Cité, Institut Cochin, Inserm U1016, Paris, France.ORCID 0000-0003-4385-5888
Sophie SibérilUMRS 1138, Sorbonne Université, Université Paris Cité, Paris, France.ORCID 0000-0003-0184-2886
Pierre-Régis BurgelUniversité Paris Cité, Institut Cochin, Inserm U1016, Paris, France.ORCID 0000-0003-0903-9828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal models can be helpful tools for deciphering the generation, maintenance, and role of tertiary lymphoid structures (TLS) during infections or tumor development. We describe here the establishment of a persistent lung infection in immune-competent mice by intratracheal instillation of agarose beads containing Pseudomonas aeruginosa or Staphylococcus aureus bacteria. After instillation, animals develop a chronic pulmonary infection, marked by the presence of TLS. This experimental setting allows the study of the function of TLS induced by bacteria encountered in patients with cystic fibrosis (CF) as P. aeruginosa and S. aureus are the two main bacterial strains that infect the bronchi of adult CF patients. Additionally, we describe also how to manipulate the immune response in these infected animals by targeting immune cells involved in TLS function. Overall, this approach makes it possible to explore the role of chronic inflammation in the induction and maintenance of TLS in infected tissues.

Indexed as

Disease Models, AnimalLungPseudomonas aeruginosaStaphylococcus aureusTertiary Lymphoid StructuresAnimalsCystic FibrosisHumansMicePseudomonas InfectionsStaphylococcal InfectionsB cellChronic obstructive pulmonary diseaseCystic fibrosisPseudomonas aeruginosaStaphylococcus aureusTertiary lymphoid structure

Identifiers

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.