| Literature DB >> 35884846 |
Shirley Pei Shan Chia1,2, Sharleen Li Ying Kong1,2, Jeremy Kah Sheng Pang1,2, Boon-Seng Soh1,2.
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.Entities:
Keywords: bacteria; fungi; infectious diseases; organoid; parasites; pathogenesis; prions; viruses
Year: 2022 PMID: 35884846 PMCID: PMC9312734 DOI: 10.3390/biomedicines10071541
Source DB: PubMed Journal: Biomedicines ISSN: 2227-9059
Comparison between in vitro and in vivo systems.
| Properties | In Vitro | In Vivo | ||
|---|---|---|---|---|
| Immortalised Cell Line | Primary Cell | 3D Organoids | Animal Models | |
|
| ||||
| Cost | Low | Low to Moderate | Moderate | High |
| Ease of Handling | High | Moderate to High | Moderate | Low |
| Scalability | High | Moderate | Moderate to High | Low |
| Reproducibility | High | Low | Low to Moderate | Low |
|
| ||||
| Immune Response | No | No | No | Yes |
| Vascularisation | No | No | Yes (In some) | Yes |
| Physiological Relevance | Low | Moderate | Moderate to High | Moderate to High |
| Heterogeneity | No | No | Yes | Yes |
| Translatability | Low | Low | High | Moderate to High |
Figure 1Common infectious diseases modelled using 3D organoids derived from human stem cells.
Summary of the key findings of the molecular basis of infectious disease using the organoid model.
| Organ Modelled by | Infectious Pathogen | Molecular Basis | Reference | ||||
|---|---|---|---|---|---|---|---|
| Mechanism of Entry | Tissue | Replication/Propagation | Immune Response | Disease State | |||
|
| Prion | √ | √ | √ | √ | Groveman, et al. [ | |
| SARS-CoV-2 | √ | √ | √ | √ | √ | Jacob, et al. [ | |
| Zika Virus | √ | √ | Garcez, et al. [ | ||||
|
| √ | √ | √ | Iakobachvili, et al. [ | |||
| Influenza Virus | √ | √ | Hui, et al. [ | ||||
| SARS-CoV-2 | √ | √ | √ | √ | Milewska, et al. [ | ||
|
|
| √ | √ | √ | Bartfeld, et al. [ | ||
|
| Cryptosporidium | √ | √ | Heo, et al. [ | |||
| Human Noroviruses | √ | √ | Ettayebi, et al. [ | ||||
| Human Rotaviruses | √ | Yin, et al. [ | |||||
| SARS-CoV-2 | √ | √ | √ | Lamers, et al. [ | |||
|
| Hepatitis B | √ | √ | Nie, et al. [ | |||
| Hepatitis C | √ | √ | Baktash, et al. [ | ||||
| Malaria ( | √ | √ | Arez, et al. [ | ||||
|
| SARS-CoV-2 | √ | Mills, et al. [ | ||||
|
|
| √ | √ | Kessler, et al. [ | |||
| Human Papillomavirus | √ | Lõhmussaar, et al. [ | |||||
|
| SARS-CoV-2 | √ | Ma, et al. [ | ||||
|
| √ | √ | Wang, et al. [ | ||||
Figure 2Schematic of in vitro platforms to model infectious diseases.