| Autor: |
Chia SPS; Disease Modeling and Therapeutics Laboratory, ASTAR Institute of Molecular and Cell Biology, Singapore 138673, Singapore.; Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Singapore., Kong SLY; Disease Modeling and Therapeutics Laboratory, ASTAR Institute of Molecular and Cell Biology, Singapore 138673, Singapore.; Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Singapore., Pang JKS; Disease Modeling and Therapeutics Laboratory, ASTAR Institute of Molecular and Cell Biology, Singapore 138673, Singapore.; Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Singapore., Soh BS; Disease Modeling and Therapeutics Laboratory, ASTAR Institute of Molecular and Cell Biology, Singapore 138673, Singapore.; Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Singapore. |
| Abstrakt: |
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. |
