In silico modeling and simulation of organ‐on‐a‐chip systems to support data analysis and a priori experimental design Article Swipe
Nicoló Milani
,
Neil Parrott
,
Aleksandra Galetin
,
Stephen Fowler
,
Michael Gertz
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/psp4.13110
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/psp4.13110
Organ‐on‐a‐chip (OoC) systems are a promising new class of in vitro devices that can combine various tissues, cultured in different compartments, linked by media flow. The properties of these novel in vitro systems linked to increased physiological relevance of culture conditions may lead to more in vivo‐relevant cell phenotypes, enabling better in vitro pharmacology and toxicology assessment. Improved cell activities combined with longer lasting cultures offer opportunities to improve the characterization of absorption, distribution, metabolism, and excretion (ADME) processes, potentially leading to more accurate prediction of human pharmacokinetics (PKs). The inclusion of barrier tissue elements and metabolically competent tissue types results in complex concentration‐time profiles (in vitro PK) for test drugs and their metabolites that require appropriate mathematical modeling of in vitro data for parameter estimation. In particular, modeling is critical to estimate in vitro ADME parameters when multiple different tissues are combined in a single device. Therefore, sophisticated in silico data analysis and a priori experimental design are highly recommended for OoC experiments in a manner not needed with standard ADME screening. The design of the experiment should be optimized based on an investigation of the structural characteristics of the in vitro system, the ADME features of the test compound and any available knowledge of cell phenotypes. This tutorial aims to provide such a modeling framework to inform experimental design and refine parameter estimation in a Gut‐Liver OoC (the most studied multi‐organ systems to predict the oral drug PKs) to improve translatability of data generated in such complex cellular systems.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/psp4.13110
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/psp4.13110
- OA Status
- gold
- Cited By
- 7
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391842757
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391842757Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/psp4.13110Digital Object Identifier
- Title
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In silico modeling and simulation of organ‐on‐a‐chip systems to support data analysis and a priori experimental designWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-14Full publication date if available
- Authors
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Nicoló Milani, Neil Parrott, Aleksandra Galetin, Stephen Fowler, Michael GertzList of authors in order
- Landing page
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https://doi.org/10.1002/psp4.13110Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/psp4.13110Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/psp4.13110Direct OA link when available
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In silico, A priori and a posteriori, Computer science, Chip, System on a chip, Computational biology, Embedded system, Chemistry, Biology, Epistemology, Gene, Telecommunications, Biochemistry, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 6, 2024: 1Per-year citation counts (last 5 years)
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51Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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