Evidence map›Paper›PMID 40037530›Full record

ReviewOpen biology2025

Deciphering respiratory viral infections by harnessing organ-on-chip technology to explore the gut-lung axis.

Hristina Koceva, Mona Amiratashani, Parastoo Akbarimoghaddam, Bianca Hoffmann, Gaukhar Zhurgenbayeva, Mark S Gresnigt, Vanessa Rossetto Marcelino, Christian Eggeling, Marc Thilo Figge, Maria-João Amorim and 1 more

Abstract readReview
In one paragraph

Review in Open biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Characteristics of the gut-lung axis in patients with viral pneumonia and respiratory failure.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  6. 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

11 authors.

Hristina KocevaInstitute of Biochemistry II, Jena University Hospital, Jena, Germany.
Mona AmiratashaniInstitute of Biochemistry II, Jena University Hospital, Jena, Germany.
Parastoo AkbarimoghaddamCluster of Excellence Balance of the Microverse, Friedrich-Schiller-University Jena, Jena, Germany.
Bianca HoffmannCluster of Excellence Balance of the Microverse, Friedrich-Schiller-University Jena, Jena, Germany.
Gaukhar ZhurgenbayevaCluster of Excellence Balance of the Microverse, Friedrich-Schiller-University Jena, Jena, Germany.
Mark S GresnigtCluster of Excellence Balance of the Microverse, Friedrich-Schiller-University Jena, Jena, Germany.
Vanessa Rossetto MarcelinoMelbourne Integrative Genomics, School of BioSciences, University of Melbourne, Parkville, Australia.
Christian EggelingCluster of Excellence Balance of the Microverse, Friedrich-Schiller-University Jena, Jena, Germany.
Marc Thilo FiggeCluster of Excellence Balance of the Microverse, Friedrich-Schiller-University Jena, Jena, Germany.
Maria-João AmorimCatólica Biomédical Research Centre, Católica Medical School, Universidade Católica Portuguesa, Lisbon, Portugal.
Alexander S MosigInstitute of Biochemistry II, Jena University Hospital, Jena, Germany.ORCID 0000-0002-5687-2444

Funding

Australian Research CouncilBMBFDeutsche ForschungsgemeinschaftDFGDFG, German Research FoundationEFPIAEuropean Research Council (ERC)European UnionFSUGermany´s Excellence StrategyInnovative Medicines InitiativeLeibniz Center for PhotonicsMicroverse Imaging CenterM-M-M
6 · The paper itself

Abstract

The lung microbiome has recently gained attention for potentially affecting respiratory viral infections, including influenza A virus, respiratory syncytial virus (RSV) and SARS-CoV-2. We will discuss the complexities of the lung microenvironment in the context of viral infections and the use of organ-on-chip (OoC) models in replicating the respiratory tract milieu to aid in understanding the role of temporary microbial colonization. Leveraging the innovative capabilities of OoC, particularly through integrating gut and lung models, opens new avenues to understand the mechanisms linking inter-organ crosstalk and respiratory infections. We will discuss technical aspects of OoC lung models, ranging from the selection of cell substrates for extracellular matrix mimicry, mechanical strain, breathing mechanisms and air-liquid interface to the integration of immune cells and use of microscopy tools for algorithm-based image analysis and systems biology to study viral infection

Indexed as

COVID-19Gastrointestinal MicrobiomeLab-On-A-Chip DevicesLungRespiratory Tract InfectionsVirus DiseasesAnimalsHumansInfluenza A virusRespiratory Syncytial Virus InfectionsSARS-CoV-2chipslungmodelsOoCrespiratoryviral

Identifiers

PMID40037530
PMCPMC11879621

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.