Evidence map›Paper›PMID 41989160›Full record

ArticlemBio2026

Hélèna Choltus, Niccolo Bianchi, Julien Prados, Nelli Heikkila, Wolfram Karenovics, Veronique Serre Beinier, Yannick Nissille, Nina Leitner, Benoit Bédat, Fedor Bezrukov and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mBio, 2026. 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

16 authors.

Hélèna CholtusDepartment of Microbiology and Molecular Medicine, Medical Faculty, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-7557-7029
Niccolo Bianchi *Department of Pathology and Immunology, Medical Faculty, University of Geneva, Geneva, Switzerland.
Julien Prados *Bioinformatics Core Facility, Medical Faculty, University of Geneva, Geneva, Switzerland.
Nelli HeikkilaDepartment of Pediatrics, Gynecology and Obstetrics, University Hospital of Geneva (HUG), Geneva, Switzerland.
Wolfram KarenovicsThoracic and Endocrine Surgery Division, University Hospitals Geneva (HUG), Geneva, Switzerland.
Veronique Serre BeinierDepartment of Surgery, Medical Faculty, University of Geneva, Geneva, Switzerland.
Yannick NissilleDepartment of Microbiology and Molecular Medicine, Medical Faculty, University of Geneva, Geneva, Switzerland.
Nina LeitnerDepartment of Microbiology and Molecular Medicine, Medical Faculty, University of Geneva, Geneva, Switzerland.
Benoit BédatThoracic and Endocrine Surgery Division, University Hospitals Geneva (HUG), Geneva, Switzerland.
Fedor BezrukovDepartment of Microbiology and Molecular Medicine, Medical Faculty, University of Geneva, Geneva, Switzerland.
Beryl Mazel-SanchezNational Reference Center for Influenza (CNRI), University Hospitals Geneva (HUG), Geneva, Switzerland.
Virginie PrendkiDepartment of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
Alexander LobrinusInstitute of Pathology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Christiane EberhardtDepartment of Pathology and Immunology, Medical Faculty, University of Geneva, Geneva, Switzerland.
Simone BecattiniDepartment of Pathology and Immunology, Medical Faculty, University of Geneva, Geneva, Switzerland.
Mirco SchmolkeDepartment of Microbiology and Molecular Medicine, Medical Faculty, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-2491-3029

Funding

Swiss National Fund 310030_212216
6 · The paper itself

Abstract

Tissue resident host responses to microbial infections in the respiratory tract are highly dynamic in space and time and rely on the interaction of a multitude of cell types. To model these multicellular responses reliably in cell culture, we compare here the global transcriptional antimicrobial response to infection with influenza A virus (IAV) in precision cut lung slices (PCLS), volume-defined organ discs largely maintaining the cellular composition and 3D architecture of the donor lung. To permit a fair comparison of host responses in an isogenic background, we first challenged mice IMPORTANCE: Pathogen interactions with the lungs are very dynamic processes. In biomedical research, it is paramount to model these processes in the laboratory as accurately as possible. Influenza A virus has been extensively studied in epithelial cell culture models, including advanced organoids and organ-on-a-chip systems. Here, we use

Indexed as

LungAnimalsFemaleGene Expression ProfilingHumansInfluenza A virusInterferonsMiceMice, Inbred C57BLOrthomyxoviridae InfectionsStreptococcus pneumoniaeInterferons3Rantimicrobialex vivo modelinfectious diseaseinfluenza virusinnate immunityinterferoninterleukinPCLSprecision cut lung slicespreclinical modelStreptococcus pneumoniae

Identifiers

PMID41989160
PMCPMC13170359

What Socratic 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 Socratic graph.