Evidence map›Paper›PMID 33957803›Full record

ReviewExperimental biology and medicine (Maywood, N.J.)2021

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

Manush Saydmohammed, Anupma Jha, Vineet Mahajan, Dillon Gavlock, Tong Ying Shun, Richard DeBiasio, Daniel Lefever, Xiang Li, Celeste Reese, Erin E Kershaw and 8 more

Open access · bronzeAbstract readReview
In one paragraph

Review in Experimental biology and medicine (Maywood, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. In vitro liver models for toxicological research.Drug metabolism and pharmacokinetics · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Liver Organoids as an In Vitro Model to Study Primary Liver Cancer.International journal of molecular sciences · 2023
    Review
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 1 institution in 1 country.

Manush SaydmohammedUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID 0000-0001-7850-0732
Anupma JhaUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Vineet MahajanUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Dillon GavlockUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Tong Ying ShunUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Richard DeBiasioUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Daniel LefeverUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Xiang LiUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Celeste ReeseUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Erin E KershawDepartment of Medicine, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Vijay YechoorDepartment of Medicine, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Jaideep BehariDepartment of Medicine, Division of Gastroenterology, Hepatology and Nutrition, Pittsburgh, PA 15261, USA.
Alejandro Soto-GutierrezDepartment of Pathology, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Larry VernettiUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Andrew SternUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Albert GoughUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Mark T MiedelUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID 0000-0002-0132-6032
D Lansing TaylorUniversity of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
University of Pittsburgh · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0M
Pittsburgh Liver Research CenterP30DK120531 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Shuchang Silvia Liu · 2019 to 2026
$10.9M
Harnessing human brain and liver microphysiological systems for testing therapeutics for metastatic melanomaU01TR002383 · NCATS · VANDERBILT UNIVERSITY · PI MURPHY, WILLIAM L., TAYLOR, D. LANSING · 2018 to 2022
$7.6M
Human Microphysiology Systems Disease Model of Type 2 Diabetes Starting with Liver and pancreatic IsletsUH3DK119973 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2020 to 2022
$6.7M
University of Pittsburgh Microphysiology Systems Database CenterU24TR002632 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GOUGH, ALBERT H, SCHURDAK, MARK E · 2018 to 2022
$5.1M
Novel Determinants for Progression of Non-Alcoholic Fatty Liver Disease to Hepatocellular Carcinoma and Other Health OutcomesR01CA255809 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BEHARI, JAIDEEP, YUAN, JIAN-MIN · 2021 to 2025
$3.7M
Circadian disruption-induced mitochondrial dysfunction in diabetesR01DK130499 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YECHOOR, VIJAY K · 2021 to 2024
$1.8M
Circadian Clock and Beta Cell Stress AdaptationR01DK097160 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YECHOOR, VIJAY K · 2014 to 2018
$1.7M
A vascularized patient-derived iPSC liver acinus microphysiology system as an innovative precision medicine platform for optimizing clinical trial design for nonalcoholic fatty liver diseaseUG3TR003289 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BEHARI, JAIDEEP, SOTO-GUTIERREZ, ALEJANDRO · 2020 to 2021
$1.5M
Opera Phenix High-Content Imaging System for Drug DiscoveryS10OD028450 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2020 to 2020
$1.0M
InCell 6000 High Content Instrument for Cellular Systems Biology ProgramS10OD012269 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2013 to 2013
$502k
BLRD VA I01 BX002678NCATS NIH HHS U01 TR002383NCATS NIH HHS U24 TR002632NCATS NIH HHS UG3 TR003289NCI NIH HHS P30 CA047904NCI NIH HHS R01 CA255809NIDDK NIH HHS P30 DK120531NIDDK NIH HHS R01 DK097160NIDDK NIH HHS R01 DK130499NIDDK NIH HHS UH3 DK119973NIH HHS S10 OD012269NIH HHS S10 OD028450
6 · The paper itself

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.

Indexed as

BiomimeticsDisease ProgressionFluorescent Antibody TechniqueHumansLiverMetabolic SyndromeNon-alcoholic Fatty Liver DiseaseFluorescent protein biosensorsmetabolic dysfunction-associated fatty liver diseasemetabolic syndromemicrophysiology systemsnon-alcoholic fatty liver diseasequantitative systems pharmacologytype 2 diabetes

Identifiers

PMID33957803
PMCPMC8606957
OpenAlexW3157033168

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.