ArticleBMC medical genomics2021
Genome-wide transcriptome study using deep RNA sequencing for myocardial infarction and coronary artery calcification.
Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Cell- and sex-specificity in the transcriptomic response of the hippocampal neurovascular unit to obesity.Communications biology · 2025Article
- Liquid biopsy based on whole blood transcriptome and artificial intelligence for the prediction of coronary artery calcification: a pilot study.European heart journal. Digital health · 2025Article
- Lipocalin family proteins and their diverse roles in cardiovascular disease.Pharmacology & therapeutics · 2023Review
- Evaluation of lncRNA Expression Pattern and Potential Role in Heart Failure Pathology.Disease markers · 2023Article
- Single-cell transcriptomic, transcriptomic, and metabolomic characterization of human atherosclerosis.Annals of translational medicine · 2022Article
- Whole-Blood Transcriptional Profiles Enable Early Prediction of the Presence of Coronary Atherosclerosis and High-Risk Plaque Features at Coronary CT Angiography.Biomedicines · 2022Article
- LINC00452 overexpression reverses oxLDL-induced injury of human umbilical vein endothelial cells (HUVECs)Frontiers in cardiovascular medicine · 2022Article
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Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundCoronary artery calcification (CAC) is a noninvasive measure of coronary atherosclerosis, the proximal pathophysiology underlying most cases of myocardial infarction (MI). We sought to identify expression signatures of early MI and subclinical atherosclerosis in the Framingham Heart Study (FHS). In this study, we conducted paired-end RNA sequencing on whole blood collected from 198 FHS participants (55 with a history of early MI, 72 with high CAC without prior MI, and 71 controls free of elevated CAC levels or history of MI). We applied DESeq2 to identify coding-genes and long intergenic noncoding RNAs (lincRNAs) differentially expressed in MI and high CAC, respectively, compared with the control.
resultsOn average, 150 million paired-end reads were obtained for each sample. At the false discovery rate (FDR) < 0.1, we found 68 coding genes and 2 lincRNAs that were differentially expressed in early MI versus controls. Among them, 60 coding genes were detectable and thus tested in an independent RNA-Seq data of 807 individuals from the Rotterdam Study, and 8 genes were supported by p value and direction of the effect. Immune response, lipid metabolic process, and interferon regulatory factor were enriched in these 68 genes. By contrast, only 3 coding genes and 1 lincRNA were differentially expressed in high CAC versus controls. APOD, encoding a component of high-density lipoprotein, was significantly downregulated in both early MI (FDR = 0.007) and high CAC (FDR = 0.01) compared with controls.
conclusionsWe identified transcriptomic signatures of early MI that include differentially expressed protein-coding genes and lincRNAs, suggesting important roles for protein-coding genes and lincRNAs in the pathogenesis of MI.
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