Evidence map›Paper›PMID 41068301›Full record

ArticleScientific reports2025

Modeling of lung-liver interaction during infection in a human fluidic organ-on-a-chip.

Susanne Reinhold, Christian Herr, Yiwen Yao, Mehdi Pourrostami, Felix Ritzmann, Thorsten Lehr, Dominik Selzer, Yvonne Kohl, Daniela Yildiz, Hortense Slevogt and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 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. Review
  2. Review
  3. Review
  4. Bridging the Gap Between Static Histology and Dynamic Organ-on-a-Chip Models.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Review
  5. Review
  6. Article
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

12 authors.

Susanne ReinholdDepartment of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Kirrberger Strasse 1, 66421, Homburg, Saar, Germany.
Christian HerrDepartment of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Kirrberger Strasse 1, 66421, Homburg, Saar, Germany. christian.herr@uks.eu.
Yiwen YaoDepartment of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Kirrberger Strasse 1, 66421, Homburg, Saar, Germany.
Mehdi PourrostamiDepartment of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Kirrberger Strasse 1, 66421, Homburg, Saar, Germany.
Felix RitzmannDepartment of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Kirrberger Strasse 1, 66421, Homburg, Saar, Germany.
Thorsten LehrClinical Pharmacy, Saarland University, 66123, Saarbrücken, Germany.
Dominik SelzerClinical Pharmacy, Saarland University, 66123, Saarbrücken, Germany.
Yvonne KohlFraunhofer Institute for Biomedical Engineering IBMT, 66280, Sulzbach, Germany.
Daniela YildizExperimental and Clinical Pharmacology and Toxicology, Center for Molecular Signaling (PZMS), Saarland University, 66421, Homburg, Germany.
Hortense SlevogtRespiratory Infection Dynamics, Helmholtz Centre for Infection Research - HZI Braunschweig, 38124, Braunschweig, Germany.
Christoph BeisswengerDepartment of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Kirrberger Strasse 1, 66421, Homburg, Saar, Germany.
Robert BalsDepartment of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, Kirrberger Strasse 1, 66421, Homburg, Saar, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory infections, including pneumonia and COVID-19, are major causes of global mortality and morbidity. Recent advancements in organ-on-a-chip (OOC) technologies have paved the way for human-based disease models, offering new tools for studying disease mechanisms and accelerating drug development. The aim of this study was to establish a lung-liver fluidic system to study the interaction of both organ modules during infection. A two organ (lung-liver) fluidic system was established using primary human bronchial (HBECs) or alveolar type epithelial cells (AT) for the lung module and Huh-7 cells for the liver module. Inactivated non-typeable Haemophilus influenzae (NTHi) and Pseudomonas aeruginosa PAO1 (PAO1) were applied to the lung module. Secreted mediators were screened by dot-blot analysis and quantified. The impact of bacteria-exposed epithelial cells on the liver cell transcriptome was analyzed via mRNA sequencing. Lung and liver cells established stable cultures in a circulatory fluidic system. Activation of HBECs or ATCs with NTHi or PAO1 resulted in the secretion of multiple inflammatory mediators into the microfluidic medium including tumor necrosis factor-alpha (TNF-α), monocyte chemotactic protein-1 (MCP-1) and macrophage inflammatory protein-1-α (MIP-1α). Addition of lung cells and application of bacterial onto the HBEC module led to significant transcriptomic alterations in the liver cell module. Gene ontology enrichment analysis showed the induction of various pathways involved in host defense, metabolism, repair, and acute phase response. In conclusion, a two-organ lung-liver fluidic system was established to study the interaction of the organ modules during infection. Mediators like cytokines are released from epithelial culture modules into the fluidic circulation after exposure to bacterial pathogens that significantly modify the gene expression patterns of liver cells.

Indexed as

COVID-19Lab-On-A-Chip DevicesLiverLungEpithelial CellsHaemophilus influenzaeHumansMicrophysiological SystemsPseudomonas aeruginosaSARS-CoV-2Transcriptome

Identifiers

PMID41068301
PMCPMC12511430

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Registered trials

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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.