Evidence map›Paper›PMID 38528150›Full record

ReviewNature microbiology2024

Organ-on-chip models for infectious disease research.

Raquel Alonso-Roman, Alexander S Mosig, Marc Thilo Figge, Kai Papenfort, Christian Eggeling, Felix H Schacher, Bernhard Hube, Mark S Gresnigt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Raquel Alonso-RomanDepartment of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute (Leibniz-HKI), Jena, Germany.
Alexander S MosigCluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany.ORCID http://orcid.org/0000-0002-5687-2444
Marc Thilo FiggeCluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany.ORCID http://orcid.org/0000-0002-4044-9166
Kai PapenfortCluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany.ORCID http://orcid.org/0000-0002-5560-9804
Christian EggelingCluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany.
Felix H SchacherCluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany.
Bernhard HubeDepartment of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute (Leibniz-HKI), Jena, Germany. bernhard.hube@leibniz-hki.de.ORCID http://orcid.org/0000-0002-6028-0425
Mark S GresnigtCluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany.ORCID http://orcid.org/0000-0002-9514-4634

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 390713860Deutsche Forschungsgemeinschaft (German Research Foundation) 434385622 / GR 5617/1-1Deutsche Forschungsgemeinschaft (German Research Foundation) Collaborative Research Centre (CRC)/Transregio (TRR) 124 FungiNet project C1 and B5Deutsche Forschungsgemeinschaft (German Research Foundation) CRC 1278Deutsche Forschungsgemeinschaft (German Research Foundation) Hu 532/20-1Deutsche Forschungsgemeinschaft (German Research Foundation) SPP 2225Deutsche Forschungsgemeinschaft (German Research Foundation) SPP 2332Deutsche Forschungsgemeinschaft (German Research Foundation) SPP2389EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 812969EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101007799EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 847507Leibniz-Gemeinschaft (Leibniz Association) SAS-2015-HKI-LWC
6 · The paper itself

Abstract

Research on microbial pathogens has traditionally relied on animal and cell culture models to mimic infection processes in the host. Over recent years, developments in microfluidics and bioengineering have led to organ-on-chip (OoC) technologies. These microfluidic systems create conditions that are more physiologically relevant and can be considered humanized in vitro models. Here we review various OoC models and how they have been applied for infectious disease research. We outline the properties that make them valuable tools in microbiology, such as dynamic microenvironments, vascularization, near-physiological tissue constitutions and partial integration of functional immune cells, as well as their limitations. Finally, we discuss the prospects for OoCs and their potential role in future infectious disease research.

Indexed as

Communicable DiseasesMicrofluidicsAnimals

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.