Evidence map›Paper›PMID 40752492›Full record

ReviewCell reports. Medicine2025

Cardiometabolic disease and cardio-oncology: Insights from iPSC models and tissue engineering.

Ana Kojic, Javid Moslehi, Bonnie Ky, Joseph C Wu

Abstract readReview
In one paragraph

Review in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors.

Ana KojicStanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Javid MoslehiSection of Cardio-Oncology and Immunology and Cardiovascular Research Institute, University of California San Francisco, School of Medicine, San Francisco, CA, USA.
Bonnie KyThalheimer Center for Cardio-Oncology, Abramson Cancer Center and Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Joseph C WuStanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Greenstone Biosciences, Palo Alto, CA, USA. Electronic address: joewu@stanford.edu.

Funding

MENTORING IN PATIENT-ORIENTED RESEARCH IN DEEP PHENOTYPING IN CARDIO-ONCOLOGYK24HL167127 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Bonnie Ky · 2023 to 2026
$496k
NHLBI NIH HHS K24 HL167127
6 · The paper itself

Abstract

Heart disease and cancer share common risk factors, genetic predispositions, and metabolic and inflammatory components. Metabolic reprogramming can drive disease progression in both, with cardiometabolic syndrome-marked by obesity, insulin resistance, dyslipidemia, and hypertension-contributing to cancer development. Studies link around 20% of cancer cases to obesity, while elevated glucose and triglyceride levels increase the risk of liver, thyroid, and respiratory cancers. Beyond treatment-related cardiotoxicity, cancer patients often have pre-existing cardiovascular disease (CVD) at diagnosis, highlighting their bidirectional relationship. Patient-specific induced pluripotent stem cells (iPSCs) offer a powerful platform to study these links at a personalized level. iPSC models help explore shared molecular mechanisms, metabolic dysregulation, inflammation, and cardiotoxicity. This review examines emerging themes in cardio-oncology and cardio-metabolism, emphasizing how iPSC-based approaches can reveal disease connections and inform new therapies.

Indexed as

Cardiovascular DiseasesInduced Pluripotent Stem CellsNeoplasmsTissue EngineeringAnimalsCardio-OncologyHumans

Identifiers

PMID40752492
PMCPMC12490225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.