Sepsis modelling: current approaches and organ-on-chip perspectives
Mariana J Silva1, Gustavo W Fehrenbach2, Robert Pogue3
1Bioengineering (Organ-on-Chip) Research Group, Centre for Applied Bioscience Research, Moylish Campus, Technological University of the Shannon, Limerick, Co. Limerick, V94 EC5T, Ireland; PRISM Research Institute, Department of Engineering, Athlone Campus, Technological University of the Shannon, Athlone, Co. Westmeath, N37 HD68, Ireland; Programa de Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, 71966-700, Brasilia, Brazil.
This review evaluates sepsis research models, highlighting limitations in translating preclinical findings to clinical success. It explores advanced organ-on-chip technology as a promising approach for better sepsis modeling and drug discovery.
Area of Science:
- Biomedical Engineering
- Immunology
- Pathophysiology
Background:
- Sepsis is a life-threatening condition characterized by immune dysregulation, endothelial dysfunction, and multi-organ failure.
- Current in vitro, in vivo, and ex vivo models have advanced understanding but face challenges in complexity, reproducibility, and clinical translation.
- Limitations in existing models hinder the development of effective sepsis therapies.
Purpose of the Study:
- To review and evaluate current sepsis research systems based on biological complexity, reproducibility, ethical constraints, and clinical applicability.
- To discuss the potential of microfluidic technology, specifically organ-on-chip systems, in modeling human sepsis pathophysiology.
- To identify challenges in sepsis research and propose directions for integrated modeling approaches to improve translational outcomes.
Main Methods:
- Literature review of conventional and advanced sepsis models.
- Comparative analysis of different experimental systems.
- Exploration of organ-on-chip technology for sepsis research.
Main Results:
- Conventional sepsis models exhibit limitations in replicating human pathophysiology and ensuring reproducibility.
- Organ-on-chip technology offers potential for higher biological complexity and physiological relevance in sepsis modeling.
- A gap exists between preclinical findings and clinical success due to model limitations.
Conclusions:
- There is a critical need for improved sepsis models that better mimic human disease.
- Organ-on-chip systems represent a promising avenue for advancing sepsis research and therapeutic discovery.
- An integrated approach to sepsis modeling is essential for enhancing translational outcomes.
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