Literature DB >> 31201557

Harnessing Human Microphysiology Systems as Key Experimental Models for Quantitative Systems Pharmacology.

D Lansing Taylor1,2, Albert Gough3,4, Mark E Schurdak3,4, Lawrence Vernetti3,4, Chakra S Chennubhotla3,4, Daniel Lefever3, Fen Pei3,4, James R Faeder3,4, Timothy R Lezon3,4, Andrew M Stern3,4, Ivet Bahar3,4.   

Abstract

Two technologies that have emerged in the last decade offer a new paradigm for modern pharmacology, as well as drug discovery and development. Quantitative systems pharmacology (QSP) is a complementary approach to traditional, target-centric pharmacology and drug discovery and is based on an iterative application of computational and systems biology methods with multiscale experimental methods, both of which include models of ADME-Tox and disease. QSP has emerged as a new approach due to the low efficiency of success in developing therapeutics based on the existing target-centric paradigm. Likewise, human microphysiology systems (MPS) are experimental models complementary to existing animal models and are based on the use of human primary cells, adult stem cells, and/or induced pluripotent stem cells (iPSCs) to mimic human tissues and organ functions/structures involved in disease and ADME-Tox. Human MPS experimental models have been developed to address the relatively low concordance of human disease and ADME-Tox with engineered, experimental animal models of disease. The integration of the QSP paradigm with the use of human MPS has the potential to enhance the process of drug discovery and development.

Entities:  

Keywords:  Computational models of ADME-Tox; Computational models of disease; DILI; Drug development; Drug discovery; Drug repurposing; Induced pluripotent stem cells; Microphysiology systems; Omics analyses; PBPK; Personalized medicine; Quantitative systems pharmacology; Toxicology

Mesh:

Year:  2019        PMID: 31201557      PMCID: PMC6911651          DOI: 10.1007/164_2019_239

Source DB:  PubMed          Journal:  Handb Exp Pharmacol        ISSN: 0171-2004


  220 in total

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Review 3.  Fluorescent protein biosensors applied to microphysiological systems.

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4.  A Perspective on Implementing a Quantitative Systems Pharmacology Platform for Drug Discovery and the Advancement of Personalized Medicine.

Authors:  Andrew M Stern; Mark E Schurdak; Ivet Bahar; Jeremy M Berg; D Lansing Taylor
Journal:  J Biomol Screen       Date:  2016-03-08

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6.  Connecting Neuronal Cell Protective Pathways and Drug Combinations in a Huntington's Disease Model through the Application of Quantitative Systems Pharmacology.

Authors:  Fen Pei; Hongchun Li; Mark J Henderson; Steven A Titus; Ajit Jadhav; Anton Simeonov; Murat Can Cobanoglu; Seyed H Mousavi; Tongying Shun; Lee McDermott; Prema Iyer; Michael Fioravanti; Diane Carlisle; Robert M Friedlander; Ivet Bahar; D Lansing Taylor; Timothy R Lezon; Andrew M Stern; Mark E Schurdak
Journal:  Sci Rep       Date:  2017-12-19       Impact factor: 4.379

7.  Automated visualization of rule-based models.

Authors:  John Arul Prakash Sekar; Jose-Juan Tapia; James R Faeder
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Review 8.  Multi-omics approaches to disease.

Authors:  Yehudit Hasin; Marcus Seldin; Aldons Lusis
Journal:  Genome Biol       Date:  2017-05-05       Impact factor: 13.583

9.  STITCH 5: augmenting protein-chemical interaction networks with tissue and affinity data.

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10.  NAFLD risk alleles in PNPLA3, TM6SF2, GCKR and LYPLAL1 show divergent metabolic effects.

Authors:  Eeva Sliz; Sylvain Sebert; Peter Würtz; Antti J Kangas; Pasi Soininen; Terho Lehtimäki; Mika Kähönen; Jorma Viikari; Minna Männikkö; Mika Ala-Korpela; Olli T Raitakari; Johannes Kettunen
Journal:  Hum Mol Genet       Date:  2018-06-15       Impact factor: 6.150

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  9 in total

1.  Prediction of hepatic drug clearance with a human microfluidic four-cell liver acinus microphysiology system.

Authors:  Courtney Sakolish; Yu-Syuan Luo; Alan Valdiviezo; Lawrence A Vernetti; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicology       Date:  2021-09-17       Impact factor: 4.221

2.  Analysis of reproducibility and robustness of a human microfluidic four-cell liver acinus microphysiology system (LAMPS).

Authors:  Courtney Sakolish; Celeste E Reese; Yu-Syuan Luo; Alan Valdiviezo; Mark E Schurdak; Albert Gough; D Lansing Taylor; Weihsueh A Chiu; Lawrence A Vernetti; Ivan Rusyn
Journal:  Toxicology       Date:  2020-12-08       Impact factor: 4.221

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.  Integrative microphysiological tissue systems of cancer metastasis to the liver.

Authors:  Amanda M Clark; Nancy L Allbritton; Alan Wells
Journal:  Semin Cancer Biol       Date:  2020-06-21       Impact factor: 17.012

Review 7.  The Microbiome and the Gut-Liver-Brain Axis for Central Nervous System Clinical Pharmacology: Challenges in Specifying and Integrating In Vitro and In Silico Models.

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Journal:  Clin Pharmacol Ther       Date:  2020-05-29       Impact factor: 6.875

8.  A Quantitative Systems Pharmacology Platform Reveals NAFLD Pathophysiological States and Targeting Strategies.

Authors:  Daniel E Lefever; Mark T Miedel; Fen Pei; Johanna K DiStefano; Richard Debiasio; Tong Ying Shun; Manush Saydmohammed; Maria Chikina; Lawrence A Vernetti; Alejandro Soto-Gutierrez; Satdarshan P Monga; Ramon Bataller; Jaideep Behari; Vijay K Yechoor; Ivet Bahar; Albert Gough; Andrew M Stern; D Lansing Taylor
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9.  Applications of the microphysiology systems database for experimental ADME-Tox and disease models.

Authors:  Mark Schurdak; Lawrence Vernetti; Luke Bergenthal; Quinn K Wolter; Tong Ying Shun; Sandra Karcher; D Lansing Taylor; Albert Gough
Journal:  Lab Chip       Date:  2020-04-14       Impact factor: 6.799

  9 in total

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