2020
DOI: 10.1038/s41551-019-0498-9
|View full text |Cite
|
Sign up to set email alerts
|

Quantitative prediction of human pharmacokinetic responses to drugs via fluidically coupled vascularized organ chips

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

5
291
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
3

Relationship

1
7

Authors

Journals

citations
Cited by 339 publications
(330 citation statements)
references
References 68 publications
5
291
0
Order By: Relevance
“…The ability to use a universal medium across Organ Chips dramatically increases experimental flexibility by leveraging the Interrogator platform for HuBoC linking with the potential to arbitrarily reconfigure the linkage scheme without the need to individually assess the viability of each new Organ Chip linkage. Importantly, we have recently confirmed the utility of this versatile Interrogator-enabled HuBoC approach coupled with MCRO modeling for evaluating drug PK/PD in a first-pass Organ Chip system and were able to recapitulate clinical drug profiles and PK parameters for two drugs (nicotine and cisplatin) previously observed in humans 48 .…”
Section: Discussionsupporting
confidence: 60%
See 2 more Smart Citations
“…The ability to use a universal medium across Organ Chips dramatically increases experimental flexibility by leveraging the Interrogator platform for HuBoC linking with the potential to arbitrarily reconfigure the linkage scheme without the need to individually assess the viability of each new Organ Chip linkage. Importantly, we have recently confirmed the utility of this versatile Interrogator-enabled HuBoC approach coupled with MCRO modeling for evaluating drug PK/PD in a first-pass Organ Chip system and were able to recapitulate clinical drug profiles and PK parameters for two drugs (nicotine and cisplatin) previously observed in humans 48 .…”
Section: Discussionsupporting
confidence: 60%
“…This model and simplified reduced-order differential equation models were used to confirm the quantitative accuracy of the Interrogator-enabled HuBoC platform using an inert inulin-FITC tracer dye in the present study, which is focused on validation of the Interrogator instrument. However, in a parallel effort, this model has been extended to create an MCRO model that incorporates drug transport and metabolism with subsequent in vitro-in vivo translation 48 .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The challenges with preclinical models and tools have spurred the development of cell culture platforms comprising human primary cells in a microfluidic environment, commonly known as microphysiological systems (MPS) or organs-on-chips [20]. Over the past two decades, these devices have evolved from early toxicology platforms to today's wide range of technologies including multi-organ systems [21,22] and a variety of organ-specific models including airway or alveolar tissue systems [23,24]. While the integration of human primary cells or stem cell-derived populations in a physiologically-relevant microenvironment represents a tremendous advance over the use of cell lines in principle, in practice the application of these systems in pharmacological research and development has been severely gated by several factors.…”
Section: Introductionmentioning
confidence: 99%
“…Self-organization of cells into three-dimensional multicellular organoid-like structures may be enhanced by advanced bioengineering strategies including 3D printing 23 . Towards scar-free skin regeneration, various improvements still need to be achieved to get regionalized skin comprizing loco-typic hairiness and appendages ideally also enabling creation of perfect organoid model systems to read-out complex transcriptional regulatory networks in their response to environmental or pharmacologic input signals 24,25 . It remains to be clarified to what extent the rather simplistic organoids can facilitate intercellular communication analysis and development of novel pharmacologic or diagnostic strategies 26 .…”
mentioning
confidence: 99%