Literature DB >> 30855604

A high-throughput microfluidic microphysiological system (PREDICT-96) to recapitulate hepatocyte function in dynamic, re-circulating flow conditions.

Kelly Tan1, Philip Keegan, Miles Rogers, Mingjian Lu, James R Gosset, Joe Charest, Shyam Sundhar Bale.   

Abstract

Microphysiological systems (MPSs) are dynamic cell culture systems that provide micro-environmental and external cues to support physiologically relevant, organ-specific functions. Recent progresses in MPS fabrication technologies have enabled the development of advanced models to capture microenvironments with physiological relevance, while increasing throughput and reducing material-based artefacts. In addition to conventional cell culture systems, advanced MPSs are emerging as ideal contenders for disease modeling and incorporation into drug screening. Since liver is a central organ for drug metabolism, liver-on-chip models have been developed to recapitulate hepatic microenvironment with varying complexities, while allowing long-term culture. Recently, we have developed a novel thermoplastic, oxygen-permeable MPS for primary human hepatocyte (PHH) culture. Herein, we have adapted and extended the MPS to a) a 96 microfluidic array (PREDICT-96 array) and b) integrated a novel, ultra-low volume, re-circulating pumping system (PREDICT-96 pump) - collectively known as the PREDICT-96 platform. The PREDICT-96 platform conforms to the industrial standard 96-well footprint and enables media re-circulation. First, we demonstrate the introduction of PHHs into the PREDICT-96 array using standard handling procedures for multi-well plates and allow cells to stabilize in static conditions. Next, we introduce recirculating flow into the bottom channel (using PREDICT-96 pump) to mimic mass transport in vivo. Our results indicate an increase in metabolic and secretory functions of PHHs in the PREDICT-96 platform, and their maintenance over 10 days of flow. Furthermore, long-term culture with fluid flow allows for the periodic introduction of media components (e.g., fatty acids, cytokines) and capture cellular responses to chronic stimuli. The low-volume footprint of the pump and small media volume in the MPS allow for the interrogation of hepatic responses incorporating secretion feedback to a stimulus, which is essential for disease model development and drug interrogation. We envision future development of this liver model to incorporate key primary hepatic cells, multi-cellular co-cultures and adaptation, integration with high-throughput analytical tools.

Entities:  

Year:  2019        PMID: 30855604     DOI: 10.1039/c8lc01262h

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  15 in total

Review 1.  The impact of microfluidics in high-throughput drug-screening applications.

Authors:  Paola De Stefano; Elena Bianchi; Gabriele Dubini
Journal:  Biomicrofluidics       Date:  2022-05-26       Impact factor: 3.258

2.  Human Vascular Wall Microfluidic Model for Preclinical Evaluation of Drug-Induced Vascular Injury.

Authors:  Erik Ersland; Neven Ebrahim; Olive Mwizerwa; Takahiro Oba; Keisuke Oku; Masafumi Nishino; Daichi Hikimoto; Hayato Miyoshi; Kimihiko Tomotoshi; Omid Rahmanian; Emmanuel Ekwueme; Craig Neville; Cathryn Sundback
Journal:  Tissue Eng Part C Methods       Date:  2022-02       Impact factor: 3.056

Review 3.  Quantifying the progression of non-alcoholic fatty liver disease in human biomimetic liver microphysiology systems with fluorescent protein biosensors.

Authors:  Manush Saydmohammed; Anupma Jha; Vineet Mahajan; Dillon Gavlock; Tong Ying Shun; Richard DeBiasio; Daniel Lefever; Xiang Li; Celeste Reese; Erin E Kershaw; Vijay Yechoor; Jaideep Behari; Alejandro Soto-Gutierrez; Larry Vernetti; Andrew Stern; Albert Gough; Mark T Miedel; D Lansing Taylor
Journal:  Exp Biol Med (Maywood)       Date:  2021-05-06

Review 4.  Fabrication approaches for high-throughput and biomimetic disease modeling.

Authors:  Mackenzie L Grubb; Steven R Caliari
Journal:  Acta Biomater       Date:  2021-03-11       Impact factor: 10.633

Review 5.  Human biomimetic liver microphysiology systems in drug development and precision medicine.

Authors:  Albert Gough; Alejandro Soto-Gutierrez; Lawrence Vernetti; Mo R Ebrahimkhani; Andrew M Stern; D Lansing Taylor
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2020-12-17       Impact factor: 73.082

Review 6.  Comprehensive Evaluation of Organotypic and Microphysiological Liver Models for Prediction of Drug-Induced Liver Injury.

Authors:  Yitian Zhou; Joanne X Shen; Volker M Lauschke
Journal:  Front Pharmacol       Date:  2019-09-24       Impact factor: 5.810

Review 7.  Advanced Organ-on-a-Chip Devices to Investigate Liver Multi-Organ Communication: Focus on Gut, Microbiota and Brain.

Authors:  Lucia Boeri; Luca Izzo; Lorenzo Sardelli; Marta Tunesi; Diego Albani; Carmen Giordano
Journal:  Bioengineering (Basel)       Date:  2019-09-28

8.  High-throughput human primary cell-based airway model for evaluating influenza, coronavirus, or other respiratory viruses in vitro.

Authors:  A L Gard; R J Luu; C R Miller; R Maloney; B P Cain; E E Marr; D M Burns; R Gaibler; T J Mulhern; C A Wong; J Alladina; J R Coppeta; P Liu; J P Wang; H Azizgolshani; R Fennell Fezzie; J L Balestrini; B C Isenberg; B D Medoff; R W Finberg; J T Borenstein
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

Review 9.  The Future Application of Organ-on-a-Chip Technologies as Proving Grounds for MicroBioRobots.

Authors:  Haley C Fuller; Ting-Yen Wei; Michael R Behrens; Warren C Ruder
Journal:  Micromachines (Basel)       Date:  2020-10-20       Impact factor: 2.891

10.  Coculture with hiPS-derived intestinal cells enhanced human hepatocyte functions in a pneumatic-pressure-driven two-organ microphysiological system.

Authors:  Marie Shinohara; Hiroshi Arakawa; Yuuichi Oda; Nobuaki Shiraki; Shinji Sugiura; Takumi Nishiuchi; Taku Satoh; Keita Iino; Sylvia Leo; Yusuke Kato; Karin Araya; Takumi Kawanishi; Tomoki Nakatsuji; Manami Mitsuta; Kosuke Inamura; Tomomi Goto; Kenta Shinha; Wataru Nihei; Kikuo Komori; Masaki Nishikawa; Shoen Kume; Yukio Kato; Toshiyuki Kanamori; Yasuyuki Sakai; Hiroshi Kimura
Journal:  Sci Rep       Date:  2021-03-08       Impact factor: 4.379

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