ArticleFrontiers in pharmacology2024
CDKN1A as a target of senescence in heart failure: insights from a multiomics study.
Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- SGLT2 inhibitor therapy is associated with IL-10/TGF-α/sVEGFR3 signalling and adipose tissue remodelling in advanced heart failure.Journal of molecular and cellular cardiology plus · 2026Article
- ANGPTL4 in gestational diabetes: a diagnostic biomarker linked to placental senescence.Functional & integrative genomics · 2026Article
- Transcriptional regulatory network analysis uncovers modular gene control and potential key regulators in diabetic cardiomyopathy.Frontiers in cell and developmental biology · 2026Article
- Heterogeneity of Cellular Senescence, Senotyping, and Targeting by Senolytics and Senomorphics in Lung Diseases.International journal of molecular sciences · 2025Review
- Unraveling the genetics of feline hypertrophic cardiomyopathy: a multiomics study of 138 cats.G3 (Bethesda, Md.) · 2025Article
- Elevated levels of Letm1 drives mitochondrial dysfunction and cardiomyocyte stress-mediated apoptosis in cultured cardiomyocytes.Cell communication and signaling : CCS · 2025Article
- Novel insights into post-myocardial infarction cardiac remodeling through algorithmic detection of cell-type composition shifts.PLoS genetics · 2025Article
- The Effect of CDKN1A on the Expression of Genes Related to Milk Protein and Milk Fat Synthesis in Bovine Mammary Epithelial Cells.Veterinary sciences · 2025Article
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Authors and funding
4 authors.
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Abstract
Background: Cardiomyocyte senescence plays a crucial role as a pathological mechanism in heart failure (HF). However, the exact triggering factors and underlying causes of HF onset and progression are still not fully understood. Objectives: By integrating multi-omics data, this study aimed to determine the genetic associations between cardiomyocyte and HF using cell senescence-related genes (SRGs). Methods: The study utilized the CellAge database and the SenMayo dataset, combined with high-resolution single-cell RNA sequencing (scRNA-seq) data, to identify SRG and examine differences in cardiac cell expression. To explore the causal relationship with HF using Mendelian Randomization (MR). Genetic variations influencing gene expression, DNA methylation, and protein expression (cis-eQTL, cis-mQTL, and cis-pQTL) were analyzed using the two-sample MR (TSMR) and summary-data-based MR (SMR). Additionally, Bayesian colocalization analysis, germline genetic variation, and bulk RNA data were employed to strengthen the reliability of the results. The application potential of therapeutic targets is ultimately assessed by evaluating their druggability. Results: The expression of 39 SRGs in cardiomyocytes was identified. In the discovery set revealed that Conclusion: Based on multi-omics data, this study uncovered the reciprocal regulation of cardiomyocyte senescence through
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