ArticleBioinformatics and biology insights2024
System Genetics Analysis Reveals Sex Differences in Human Aortic Smooth Muscle Gene Expression.
Article in Bioinformatics and biology insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed.
- Female-Biased VSMC GRNs Predict MYH9 as Regulator of Fibrous Plaque Phenotype.Circulation research · 2026Article
- BARTsc identifies key transcriptional regulators from single-cell omics data.bioRxiv : the preprint server for biology · 2026Article
- Toward Precision Medicine in Atherosclerotic Cardiovascular Disease: Insights from Omics Data into Sex Differences.Current atherosclerosis reports · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Coronary artery disease (CAD) is one of the leading causes of death worldwide. The buildup of atherosclerotic plaque, including lipids and cellular waste, characterizes this disease. Smooth muscle cells (SMCs) can migrate and proliferate to form a fibrous cap that stabilizes the atherosclerotic plaque in response to plaque buildup. However, in some severe cases, the fibrous cap is unable to prevent plaque rupture, which can lead to a thrombotic event causing a stroke or myocardial infarction. Studies have been conducted to identify genes associated with this disease. However, the influence of sex on CAD risk is poorly understood due to the complexity of the disease and the lack of women in clinical studies. Methods: This study is investigated with a unique collection of human aortic smooth muscle cells (huASMCs) derived from 118 male and 33 female individuals who either underwent a heart transplant or were victims of motor vehicle accidents. In this investigation, we explore differentially expressed genes between males and females related to atherosclerosis using a unique RNAseq dataset of human aortic SMCs. Results: Our study identified 8 genes ( Conclusions: Overall, this investigation shows that differentially expressed genes between males and females in human aortic SMCs exist.
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Registered trials
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