ReviewScientific reports2025
Applications and research trends in organoid based infectious disease models.
Review in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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.
Who cites it
12 citing papers in PubMed.
- Beyond H5N1: influenza A virus infection in bovine udder organoids.Emerging microbes & infections · 2026Article
- Review
- Inverse scattering in biological samples via beam propagation.Science advances · 2026Article
- Emerging biomodels to understand the pathophysiology of sepsis and evaluate new therapeutic strategies targeting extracellular histones.Materials today. Bio · 2026Review
- Organoids: generation strategies, applications, and future challenges.Stem cell research & therapy · 2026Review
- Animal organoids as transformative platforms for viral infections and zoonotic cross-species viral research.Journal of virology · 2026Review
- Immune-Based Prevention and Therapy Against Coccidioidomycosis: Current and Emerging Approaches.Journal of fungi (Basel, Switzerland) · 2026Review
- Organoid-based systems for biomedical innovation: advances in disease modeling, drug screening, and precision medicine.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Brain endothelial spheroids and cortical organoids reveal the impact of Toxoplasma gondii lineage and host-phagocyte-pathogen interactions on colonization.Cellular and molecular life sciences : CMLS · 2026Article
- Organoids for disease modeling and treatment: state-of-the-art.Experimental hematology & oncology · 2026Review
- Human lung organoids model for assessing host response toFrontiers in cellular and infection microbiology · 2026Article
- Utility of in Vivo and Ex-vivo Models in Food Allergy Research: Lessons for Shrimp Allergy.Clinical reviews in allergy & immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Recently, three-dimensional (3D) cell culture technology has been developing rapidly, and disease-specific organoid models that can simulate human diseases are being developed. These models are being studied as a valuable tool that can be applied to pathogen biology research and drug screening analysis platforms to obtain fast, reliable, and reproducible results. Organoids are 3D cell aggregates formed from embryonic stem cells (ESCs), adult stem cells (ASCs), or induced pluripotent stem cells (iPSCs) through self-renewal and self-organization. They are also called mini-organs and have a structure and function similar to those of real organs, providing a more physiologically relevant model compared to traditional 2D cultures. In particular, due to the recent epidemics of infectious diseases such as coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), many studies are using organoids for infectious disease research, enabling more accurate pathogen-host interaction modeling. In this review, we briefly introduce organoids and discuss research trends in developing organoid-based models of infectious diseases, focusing on organoids derived from the brain, liver, intestines, lung, kidney, skin, and blood vessels. These models hold significant potential for advancing our understanding of disease mechanisms and therapeutic development.
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What Socratic holds
Registered trials
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.