Evidence map›Paper›PMID 31871214›Full record

ReviewPharmacological reviews2020

Patient and Disease-Specific Induced Pluripotent Stem Cells for Discovery of Personalized Cardiovascular Drugs and Therapeutics.

David T Paik, Mark Chandy, Joseph C Wu

Abstract readReview
In one paragraph

Review in Pharmacological reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed
–field-weighted citation impact
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

144 citing papers in PubMed.

  1. Human cardiovascular organoids: Biomedical applications and ethical challenges.American heart journal plus : cardiology research and practice · 2026
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  9. Building Disease Models for Endometriosis: iPSCs as Game-Changers.International journal of molecular sciences · 2026
    Review
  10. Fluorescence-lifetime optical electrophysiology in contracting cardiomyocytes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  11. Review
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  13. Artificial Intelligence Across the Drug Development Lifecycle.Medical sciences (Basel, Switzerland) · 2026
    Review
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  16. Genetic associations in sepsis and ARDS.Frontiers in pharmacology · 2026
    Review
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  20. Article

84 more citing papers are in PubMed but not listed here.

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

3 authors.

David T PaikStanford Cardiovascular Institute, Stanford University, Stanford, California.
Mark ChandyStanford Cardiovascular Institute, Stanford University, Stanford, California.
Joseph C WuStanford Cardiovascular Institute, Stanford University, Stanford, California joewu@stanford.edu.

Funding

Project 3 (Mercola)P01HL141084 · NHLBI · STANFORD UNIVERSITY · PI Joseph C. Wu · 2019 to 2026
$21.1M
Human iPSCs for Elucidating Intercellular Crosstalk Signaling in Dilated CardiomyopathyR01HL141371 · NHLBI · STANFORD UNIVERSITY · PI WONG, WING H., WU, JOSEPH C. · 2018 to 2025
$6.2M
Modeling Tyrosine Kinase Inhibitor-Induced Vascular Dysfunction Using Human iPSCsR01HL141851 · NHLBI · STANFORD UNIVERSITY · PI WONG, WING H., WU, JOSEPH C. · 2018 to 2025
$5.7M
Single Cell Sequencing of Human iPSC-CM Subtype Identity and FunctionR01HL145676 · NHLBI · STANFORD UNIVERSITY · PI MARK MERCOLA, Joseph C. Wu · 2019 to 2026
$5.1M
Human iPSC Model to Elucidate Metabolic Interplay in Diabetic CardimyopathyR01HL146690 · NHLBI · STANFORD UNIVERSITY · PI LIAO, RONGLIH, MERCOLA, MARK · 2019 to 2025
$5.1M
Multi-Disciplinary Training Program in Cardiovascular Imaging at StanfordT32EB009035 · NIBIB · STANFORD UNIVERSITY · PI Koen Nieman, John M. Pauly · 2008 to 2026
$4.3M
Identifying Angiocrine Factors for Cardiomyocyte Maturation Using Single-Cell SequencingK99HL150216 · NHLBI · STANFORD UNIVERSITY · PI PAIK, DAVID T · 2020 to 2021
$325k
NHLBI NIH HHS K99 HL150216NHLBI NIH HHS P01 HL141084NHLBI NIH HHS R01 HL141371NHLBI NIH HHS R01 HL141851NHLBI NIH HHS R01 HL145676NHLBI NIH HHS R01 HL146690
6 · The paper itself

Abstract

Human induced pluripotent stem cells (iPSCs) have emerged as an effective platform for regenerative therapy, disease modeling, and drug discovery. iPSCs allow for the production of limitless supply of patient-specific somatic cells that enable advancement in cardiovascular precision medicine. Over the past decade, researchers have developed protocols to differentiate iPSCs to multiple cardiovascular lineages, as well as to enhance the maturity and functionality of these cells. Despite significant advances, drug therapy and discovery for cardiovascular disease have lagged behind other fields such as oncology. We speculate that this paucity of drug discovery is due to a previous lack of efficient, reproducible, and translational model systems. Notably, existing drug discovery and testing platforms rely on animal studies and clinical trials, but investigations in animal models have inherent limitations due to interspecies differences. Moreover, clinical trials are inherently flawed by assuming that all individuals with a disease will respond identically to a therapy, ignoring the genetic and epigenomic variations that define our individuality. With ever-improving differentiation and phenotyping methods, patient-specific iPSC-derived cardiovascular cells allow unprecedented opportunities to discover new drug targets and screen compounds for cardiovascular disease. Imbued with the genetic information of an individual, iPSCs will vastly improve our ability to test drugs efficiently, as well as tailor and titrate drug therapy for each patient.

Indexed as

AnimalsCardiovascular AgentsCardiovascular DiseasesCell LineageDrug DevelopmentDrug Evaluation, PreclinicalHumansInduced Pluripotent Stem CellsPrecision MedicineRandomized Controlled Trials as TopicCardiovascular Agents

Identifiers

PMID31871214
PMCPMC6934989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.