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Updated: Oct 30, 2025

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
Two RECK Splice Variants (Long and Short) Are Differentially Expressed in Patients with Stable and Unstable Coronary
Chiara Vancheri1, Elena Morini1, Francesca Romana Prandi2
1Genetics Unit, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.
Insights
Alternative splicing in the RECK gene may help identify biomarkers for coronary artery disease (CAD). Analyzing RECK splice variants in patients could improve risk stratification and predict adverse events.
Area of Science:
- Genomics
- Cardiovascular Research
- Molecular Biology
Background:
- Coronary artery disease (CAD) prevention requires reliable biomarkers for risk stratification.
- Alternative splicing (AS) is an understudied genetic factor in CAD.
- The RECK gene's role in CAD, particularly its splice variants, warrants further investigation.
Purpose of the Study:
- To investigate differentially regulated alternative splicing events in CAD.
- To analyze the RECK gene's splice variants in relation to CAD and acute myocardial infarction (AMI).
- To evaluate the potential of RECK splice variants as biomarkers for distinguishing AMI from stable CAD.
Main Methods:
- RNA sequencing (RNA-seq) on peripheral blood mononuclear cells (PBMCs) from CAD patients and controls.
- Differential splicing analysis to identify altered AS events.
- Case study analyzing RECK splice variants (Long and Short) in control, CAD, and AMI patient cohorts.
- Receiver Operating Characteristic (ROC) curve analysis to assess diagnostic potential.
Main Results:
- 113 differentially regulated AS events were identified in 86 genes.
- Significant downregulation of Long RECK splice variant in AMI patients compared to controls.
- Both Long and Short RECK splice variants were underexpressed in AMI patients compared to CAD patients.
- Combined RECK splice variant expression showed high accuracy (AUC = 0.81) in distinguishing AMI from stable CAD.
Conclusions:
- Combined evaluation of Long and Short RECK splice variant expression is a potential genomic biomarker for discriminating AMI from CAD.
- These findings highlight the importance of studying RECK splice variants for understanding CAD development and progression.
- Further research is needed to elucidate the functional role of these splice variants in vascular inflammation and remodeling.
Abstract:
Primary prevention is crucial for coronary heart disease (CAD) and the identification of new reliable biomarkers might help risk stratification or predict adverse coronary events. Alternative splicing (AS) is a less investigated genetic factors implicated in CAD etiology. We performed an RNA-seq study on PBMCs from CAD patients and control subjects (CTR) and observed 113 differentially regulated AS events (24 up and 89 downregulated) in 86 genes. The RECK (Reversion-inducing-cysteine-rich protein with Kazal motifs) gene was further analyzed in a larger case study (24 CTR subjects, 72 CAD and 32 AMI patients) for its Splicing-Index FC (FC = -2.64; p = 0.0217), the AS event involving an exon (exon 18), and its role in vascular inflammation and remodeling. We observed a significant downregulation of Long RECK splice variant (containing exon 18) in PBMCs of AMI compared to CTR subjects (FC = -3.3; p < 0.005). Interestingly, the Short RECK splice variant (lacking exon 18) was under-expressed in AMI compared to both CTR (FC = -4.5; p < 0.0001) and CAD patients (FC = -4.2; p < 0.0001). A ROC curve, constructed combining Long and Short RECK expression data, shows an AUC = 0.81 (p < 0.001) to distinguish AMI from stable CAD patients. A significant negative correlation between Long RECK and triglycerides in CTR group and a positive correlation in the AMI group was found. The combined evaluation of Long and Short RECK expression levels is a potential genomic biomarker for the discrimination of AMI from CAD patients. Our results underline the relevance of deeper studies on the expression of these two splice variants to elucidate their functional role in CAD development and progression.
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