A systematic review of kidney-on-a-chip-based models to study human renal (patho-)physiology.
In vitro disease modeling
Microphysiological models
Nephron segments
Toxicology
Journal
Disease models & mechanisms
ISSN: 1754-8411
Titre abrégé: Dis Model Mech
Pays: England
ID NLM: 101483332
Informations de publication
Date de publication:
01 06 2023
01 06 2023
Historique:
received:
30
01
2023
accepted:
04
05
2023
medline:
21
6
2023
pubmed:
19
6
2023
entrez:
19
6
2023
Statut:
ppublish
Résumé
As kidney diseases affect ∼10% of the world population, understanding the underlying mechanisms and developing therapeutic interventions are of high importance. Although animal models have enhanced knowledge of disease mechanisms, human (patho-)physiology may not be adequately represented in animals. Developments in microfluidics and renal cell biology have enabled the development of dynamic models to study renal (patho-)physiology in vitro. Allowing inclusion of human cells and combining different organ models, such as kidney-on-a-chip (KoC) models, enable the refinement and reduction of animal experiments. We systematically reviewed the methodological quality, applicability and effectiveness of kidney-based (multi-)organ-on-a-chip models, and describe the state-of-the-art, strengths and limitations, and opportunities regarding basic research and implementation of these models. We conclude that KoC models have evolved to complex models capable of mimicking systemic (patho-)physiological processes. Commercial chips and human induced pluripotent stem cells and organoids are important for KoC models to study disease mechanisms and assess drug effects, even in a personalized manner. This contributes to the Reduction, Refinement and Replacement of animal models for kidney research. A lack of reporting of intra- and inter-laboratory reproducibility and translational capacity currently hampers implementation of these models.
Identifiants
pubmed: 37334839
pii: 316778
doi: 10.1242/dmm.050113
pmc: PMC10309579
pii:
doi:
Types de publication
Systematic Review
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2023. Published by The Company of Biologists Ltd.
Déclaration de conflit d'intérêts
Competing interests The authors declare no competing or financial interests.
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