Literature DB >> 33957803

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

Manush Saydmohammed1, Anupma Jha1, Vineet Mahajan1, Dillon Gavlock1, Tong Ying Shun1, Richard DeBiasio1, Daniel Lefever1, Xiang Li1, Celeste Reese1, Erin E Kershaw2, Vijay Yechoor2, Jaideep Behari3,4, Alejandro Soto-Gutierrez5,6, Larry Vernetti1,7, Andrew Stern1,7, Albert Gough1,7, Mark T Miedel1,7, D Lansing Taylor1,6,7.   

Abstract

Metabolic syndrome is a complex disease that involves multiple organ systems including a critical role for the liver. Non-alcoholic fatty liver disease (NAFLD) is a key component of the metabolic syndrome and fatty liver is linked to a range of metabolic dysfunctions that occur in approximately 25% of the population. A panel of experts recently agreed that the acronym, NAFLD, did not properly characterize this heterogeneous disease given the associated metabolic abnormalities such as type 2 diabetes mellitus (T2D), obesity, and hypertension. Therefore, metabolic dysfunction-associated fatty liver disease (MAFLD) has been proposed as the new term to cover the heterogeneity identified in the NAFLD patient population. Although many rodent models of NAFLD/NASH have been developed, they do not recapitulate the full disease spectrum in patients. Therefore, a platform has evolved initially focused on human biomimetic liver microphysiology systems that integrates fluorescent protein biosensors along with other key metrics, the microphysiology systems database, and quantitative systems pharmacology. Quantitative systems pharmacology is being applied to investigate the mechanisms of NAFLD/MAFLD progression to select molecular targets for fluorescent protein biosensors, to integrate computational and experimental methods to predict drugs for repurposing, and to facilitate novel drug development. Fluorescent protein biosensors are critical components of the platform since they enable monitoring of the pathophysiology of disease progression by defining and quantifying the temporal and spatial dynamics of protein functions in the biosensor cells, and serve as minimally invasive biomarkers of the physiological state of the microphysiology system experimental disease models. Here, we summarize the progress in developing human microphysiology system disease models of NAFLD/MAFLD from several laboratories, developing fluorescent protein biosensors to monitor and to measure NAFLD/MAFLD disease progression and implementation of quantitative systems pharmacology with the goal of repurposing drugs and guiding the creation of novel therapeutics.

Entities:  

Keywords:  Fluorescent protein biosensors; metabolic dysfunction-associated fatty liver disease; metabolic syndrome; microphysiology systems; non-alcoholic fatty liver disease; quantitative systems pharmacology; type 2 diabetes

Mesh:

Year:  2021        PMID: 33957803      PMCID: PMC8606957          DOI: 10.1177/15353702211009228

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  187 in total

Review 1.  Fluorescent protein biosensors applied to microphysiological systems.

Authors:  Nina Senutovitch; Lawrence Vernetti; Robert Boltz; Richard DeBiasio; Albert Gough; D Lansing Taylor
Journal:  Exp Biol Med (Maywood)       Date:  2015-05-19

Review 2.  Systems biology in hepatology: approaches and applications.

Authors:  Adil Mardinoglu; Jan Boren; Ulf Smith; Mathias Uhlen; Jens Nielsen
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2018-06       Impact factor: 46.802

3.  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

4.  Monitoring FoxO1 localization in chemically identified neurons.

Authors:  Makoto Fukuda; Juli E Jones; David Olson; Jennifer Hill; Charlotte E Lee; Laurent Gautron; Michelle Choi; Jeffrey M Zigman; Bradford B Lowell; Joel K Elmquist
Journal:  J Neurosci       Date:  2008-12-10       Impact factor: 6.167

5.  Paradoxical dissociation between hepatic fat content and de novo lipogenesis due to PNPLA3 sequence variant.

Authors:  Rosellina M Mancina; Niina Matikainen; Cristina Maglio; Sanni Söderlund; Nina Lundbom; Antti Hakkarainen; Raffaela Rametta; Enrico Mozzi; Silvia Fargion; Luca Valenti; Stefano Romeo; Marja-Riitta Taskinen; Jan Borén
Journal:  J Clin Endocrinol Metab       Date:  2015-03-12       Impact factor: 5.958

6.  Robotic fluidic coupling and interrogation of multiple vascularized organ chips.

Authors:  Richard Novak; Debarun Das; Anna Herland; Ben M Maoz; Mahadevabharath R Somayaji; Rachelle Prantil-Baun; Miles Ingram; Susan Marquez; Aaron Delahanty; Sauveur S F Jeanty; Morgan Burt; Elizabeth Calamari; Angeliki Chalkiadaki; Alexander Cho; Youngjae Choe; David Benson Chou; Michael Cronce; Stephanie Dauth; Toni Divic; Jose Fernandez-Alcon; Thomas Ferrante; John Ferrier; Edward A FitzGerald; Rachel Fleming; Sasan Jalili-Firoozinezhad; Thomas Grevesse; Josue A Goss; Tiama Hamkins-Indik; Olivier Henry; Chris Hinojosa; Tessa Huffstater; Kyung-Jin Jang; Ville Kujala; Lian Leng; Robert Mannix; Yuka Milton; Janna Nawroth; Bret A Nestor; Carlos F Ng; Blakely O'Connor; Tae-Eun Park; Henry Sanchez; Josiah Sliz; Alexandra Sontheimer-Phelps; Ben Swenor; Guy Thompson; George J Touloumes; Zachary Tranchemontagne; Norman Wen; Moran Yadid; Anthony Bahinski; Geraldine A Hamilton; Daniel Levner; Oren Levy; Andrzej Przekwas; Kevin K Parker; Donald E Ingber
Journal:  Nat Biomed Eng       Date:  2020-01-27       Impact factor: 25.671

7.  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 8.  The Global Epidemic of the Metabolic Syndrome.

Authors:  Mohammad G Saklayen
Journal:  Curr Hypertens Rep       Date:  2018-02-26       Impact factor: 5.369

Review 9.  TGF-β in Hepatic Stellate Cell Activation and Liver Fibrogenesis-Updated 2019.

Authors:  Bedair Dewidar; Christoph Meyer; Steven Dooley; And Nadja Meindl-Beinker
Journal:  Cells       Date:  2019-11-11       Impact factor: 6.600

Review 10.  Integrating Biosensors in Organs-on-Chip Devices: A Perspective on Current Strategies to Monitor Microphysiological Systems.

Authors:  Erika Ferrari; Cecilia Palma; Simone Vesentini; Paola Occhetta; Marco Rasponi
Journal:  Biosensors (Basel)       Date:  2020-08-28
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  2 in total

1.  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
Journal:  Metabolites       Date:  2022-06-07

Review 2.  Microfluidic Organ-on-a-Chip Devices for Liver Disease Modeling In Vitro.

Authors:  Perizat Kanabekova; Adina Kadyrova; Gulsim Kulsharova
Journal:  Micromachines (Basel)       Date:  2022-03-10       Impact factor: 2.891

  2 in total

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