Evidence map›Paper›PMID 39914018›Full record

ArticleStem cell research2025

Generation of two induced pluripotent stem cell lines to model and investigate diseases affecting Pacific Islanders.

Angela Zhang, James W S Jahng, Julio V Guevara, Christopher D Yan, Michael V McConnell, Joseph C Wu

Abstract read
In one paragraph

Article in Stem cell research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Angela ZhangStanford Cardiovascular Institute, Stanford, CA 94305, United States; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, United States; Department of Computer Science, Stanford University School of Engineering, Stanford, CA 94305, United States.
James W S JahngStanford Cardiovascular Institute, Stanford, CA 94305, United States; Department of Medicine, Division of Cardiovascular Medicine, Palo Alto, CA 94304, United States.
Julio V GuevaraStanford Cardiovascular Institute, Stanford, CA 94305, United States.
Christopher D YanGreenstone Biosciences, Palo Alto, CA 94304, United States.
Michael V McConnellStanford Cardiovascular Institute, Stanford, CA 94305, United States; Department of Medicine, Division of Cardiovascular Medicine, Palo Alto, CA 94304, United States.
Joseph C WuStanford Cardiovascular Institute, Stanford, CA 94305, United States; Department of Medicine, Division of Cardiovascular Medicine, Palo Alto, CA 94304, United States. Electronic address: joewu@stanford.edu.

Funding

Elucidating Mechanism of Cardiac Fibrosis with Cell Village of Pooled Human iPSCsR01HL130020 · NHLBI · STANFORD UNIVERSITY · PI Ronglih Liao, MARK MERCOLA · 2016 to 2026
$7.3M
Human iPSC Model to Elucidate Metabolic Interplay in Diabetic CardimyopathyR01HL146690 · NHLBI · STANFORD UNIVERSITY · PI LIAO, RONGLIH, MERCOLA, MARK · 2019 to 2025
$5.1M
Elucidating Anthracycline-Induced Cell Type-Specific Cardiovascular Toxicity with CRISPRi/a ScreensR01HL150693 · NHLBI · STANFORD UNIVERSITY · PI Ronglih Liao, Joseph C. Wu · 2021 to 2026
$4.1M
BIOREPOSITORY OF HUMAN INDUCED PLURIPOTENT STEM CELLSFORCARDIOVASCULAR DISEASES (BHIPSC-CVD) - TASK AREA B75N92020D00019 · NHLBI · STANFORD UNIVERSITY · PI WU, JOSEPH · 2021 to 2024
$4.0M
Modeling Susceptibility to Radiation Therapy-induced Cardiotoxicity Using Cell Village iPSCsR01HL171102 · NHLBI · STANFORD UNIVERSITY · PI MARK MERCOLA, Joseph C. Wu · 2024 to 2026
$2.1M
Unraveling Proteasome Inhibitor-Induced Cardiovascular Toxicity through Integrative MultiomicsR01HL176822 · NHLBI · STANFORD UNIVERSITY · PI MARK MERCOLA, Joseph C. Wu · 2025 to 2026
$1.4M
Unraveling the Role of p53 in Endothelium Homeostasis after Ionizing Radiation ExposureK99HL173685 · NHLBI · STANFORD UNIVERSITY · PI JAHNG, WON SUK · 2024 to 2025
$300k
Using Deep Learning to Predict Induced Pluripotent Stem Cell-Derived Cardiomyocyte (iPSC-CM) Differentiation OutcomesF30HL156478 · NHLBI · STANFORD UNIVERSITY · PI ZHANG, ANGELA · 2021 to 2023
$118k
NHLBI NIH HHS 75N92020D00019NHLBI NIH HHS F30 HL156478NHLBI NIH HHS K99 HL173685NHLBI NIH HHS R01 HL130020NHLBI NIH HHS R01 HL146690NHLBI NIH HHS R01 HL150693NHLBI NIH HHS R01 HL171102NHLBI NIH HHS R01 HL176822
6 · The paper itself

Abstract

Pacific Islanders (PI) comprise only 0.4% of the US population, yet they have amongst the highest prevalence of diseases. They are historically underreported in medical literature and underrepresented in clinical investigation. Increased representation in clinical datasets can mitigate disparities and address differential health outcomes. In recent years, induced pluripotent stem cells (iPSCs) have become a popular platform for disease and drug investigation. Here, we generate two iPSC lines from the peripheral blood mononuclear cells (PBMCs) of healthy PI patients. We demonstrate that the lines exhibit normal morphology and karyotypes, robust expression of pluripotent markers, and the capacity for trilineage differentiation.

Indexed as

Induced Pluripotent Stem CellsNative Hawaiian or Pacific IslanderCell DifferentiationCell LineHumansLeukocytes, MononuclearMaleDisease modelingDrug screeningPacific IslandersStem cells

Identifiers

PMID39914018
PMCPMC12121670

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.