Evidence map›Paper›PMID 31201557›Full record

ArticleHandbook of experimental pharmacology2019

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

D Lansing Taylor, Albert Gough, Mark E Schurdak, Lawrence Vernetti, Chakra S Chennubhotla, Daniel Lefever, Fen Pei, James R Faeder, Timothy R Lezon, Andrew M Stern and 1 more

Abstract read
In one paragraph

Article in Handbook of experimental pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

D Lansing TaylorUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA. dltaylor@pitt.edu.
Albert GoughUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA.
Mark E SchurdakUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA.
Lawrence VernettiUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA.
Chakra S ChennubhotlaUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA.
Daniel LefeverUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA.
Fen PeiUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA.
James R FaederUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA.
Timothy R LezonUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA.
Andrew M SternUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA.
Ivet BaharUniversity of Pittsburgh Drug Discovery Institute, Pittsburgh, PA, USA.
Discovery Institute · USUniversity of Pittsburgh · US

Funding

TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET · 2012 to 2021
$16.3M
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
NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)P30DA035778 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, XIE, XIANG-QUN · 2014 to 2018
$5.4M
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
Applying a Human Liver Microphysiology System to Develop Therapeutic Strategies for Non-Alcoholic Fatty Liver Disease (NAFLD)R01DK117881 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2018 to 2021
$2.7M
Human Microphysiology Systems Disease Model of Type 2 Diabetes Starting with Liver and pancreatic IsletsUG3DK119973 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2018 to 2019
$2.3M
Informatics Tools for Tumor Heterogeneity in Multiplexed Fluorescence ImagesU01CA204826 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SARACHAN, BRION DARYL, TAYLOR, D. LANSING · 2016 to 2018
$1.1M
NCATS NIH HHS U01 TR002383NCATS NIH HHS U24 TR002632NCI NIH HHS U01 CA204826NIDA NIH HHS P30 DA035778NIDDK NIH HHS R01 DK117881NIDDK NIH HHS UG3 DK119973NIGMS NIH HHS P41 GM103712
6 · The paper itself

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.

Indexed as

Computational BiologySystems BiologyAnimalsDrug Delivery SystemsDrug DiscoveryHumansModels, AnimalModels, BiologicalPharmacologyStem CellsComputational models of ADME-ToxComputational models of diseaseDILIDrug developmentDrug discoveryDrug repurposingInduced pluripotent stem cellsMicrophysiology systemsOmics analysesPBPKPersonalized medicineQuantitative systems pharmacologyToxicology

Identifiers

PMID31201557
PMCPMC6911651
OpenAlexW2951694809

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.