ReviewBiomedicines2022
3D Human Organoids: The Next "Viral" Model for the Molecular Basis of Infectious Diseases.
Review in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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Who cites it
13 citing papers in PubMed.
- Mechanochemical regulation of organoid morphogenesis: Integrated signaling circuits in engineered microenvironments.Materials today. Bio · 2026Review
- Human airway organoids as a versatile model to study BSL-4 virus replication and pathogenesis.Scientific reports · 2026Article
- Organoid-based systems for biomedical innovation: advances in disease modeling, drug screening, and precision medicine.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Early Warning Signs for Monitoring Airborne Respiratory Virus Transmission.International journal of environmental research and public health · 2025Review
- Multiple cell types support productive infection and dynamic translocation of infectious Ebola virus to the surface of human skin.Science advances · 2025Article
- Prion and "Prion-Like" Detection: From Conventional Methods to Microfluidics or Lab-on-Chip Platforms to Monitor Seeding and Spreading of Misfolded Proteins.Sub-cellular biochemistry · 2025Review
- Advances in Human Brain Organoids: Methodological Innovations and Future Directions for Drug Discovery.Current drug research reviews · 2025Review
- Methods and Models for StudyingInternational journal of molecular sciences · 2024Review
- Pseudomonas aeruginosa breaches respiratory epithelia through goblet cell invasion in a microtissue model.Nature microbiology · 2024Article
- Molecular distinctions of bronchoalveolar and alveolar organoids under differentiation conditions.Physiological reports · 2024Article
- Insights on Three Dimensional Organoid Studies for Stem Cell Therapy in Regenerative Medicine.Stem cell reviews and reports · 2024Review
- Organoids to Remodel SARS-CoV-2 Research: Updates, Limitations and Perspectives.Aging and disease · 2023Review
- Infection of the Ex Vivo Tonsil Model by HTLV-1 Envelope-Pseudotyped Viruses.Pathogens (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has driven the scientific community to adopt an efficient and reliable model that could keep up with the infectious disease arms race. Coinciding with the pandemic, three dimensional (3D) human organoids technology has also gained traction in the field of infectious disease. An in vitro construct that can closely resemble the in vivo organ, organoid technology could bridge the gap between the traditional two-dimensional (2D) cell culture and animal models. By harnessing the multi-lineage characteristic of the organoid that allows for the recapitulation of the organotypic structure and functions, 3D human organoids have emerged as an essential tool in the field of infectious disease research. In this review, we will be providing a comparison between conventional systems and organoid models. We will also be highlighting how organoids played a role in modelling common infectious diseases and molecular mechanisms behind the pathogenesis of causative agents. Additionally, we present the limitations associated with the current organoid models and innovative strategies that could resolve these shortcomings.
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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.