Evidence mapPaperPMID 41898601Full record

ReviewInternational journal of molecular sciences2026

Lipotoxicity in Diabetic Cardiomyopathy: Molecular Basis and Emerging Therapeutic Targets.

Yihua Han, Xinyi Chen, Oveena Fonseka, Wei Liu

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yihua HanFaculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK.ORCID 0009-0006-6430-2755
Xinyi ChenFaculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK.ORCID 0009-0005-4978-6029
Oveena FonsekaFaculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK.
Wei LiuFaculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK.

Funding

British Heart Foundation FS/PhD/22/29307British Heart Foundation PG/22/10904British Heart Foundation PG/22/11075British Heart Foundation PG/24/12025
6 · The paper itself

Abstract

Diabetic cardiomyopathy (DbCM) is an important contributor to heart failure (HF) in diabetes, occurring independently of other cardiovascular risk factors. Accumulating evidence demonstrates that cardiac lipotoxicity is a key driver of the onset and progression of DbCM and HF. Myocardial lipid homeostasis is coordinated by multiple transcriptional regulations, signaling pathway activation, and endoplasmic reticulum-mediated management involved in lipid metabolism. In DbCM, unbalanced fatty acid (FA) influx, handling, storage, and utilization initiates lipid overload, accumulation of toxic lipid intermediates (e.g., diacylglycerols and ceramides), and activation of maladaptive response. Notably, these lipid intermediates amplify reactive oxygen species (ROS) generation, which serves as a critical link between lipotoxic signaling and mitochondrial dysfunction by promoting electron leak, mitochondrial damage, and activation of inflammatory and cell-death pathways. These processes converge on adverse remodeling and contractile impairment, accelerating DbCM progression. This review integrates mechanistic and translational evidence linking dysregulated lipid handling to DbCM and discusses the potential therapeutic strategies that target lipid abnormalities.

Indexed as

Diabetic CardiomyopathiesLipid MetabolismAnimalsHumansMyocardiumReactive Oxygen SpeciesSignal TransductionReactive Oxygen Speciescell metabolismdiabetesdiabetic cardiomyopathyheart failurelipid metabolismlipotoxicity

Identifiers

PMID41898601
PMCPMC13027042

What Socratic holds

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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.