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Distinctive blood and salivary proteomics signatures in Qatari individuals at high risk for cardiovascular disease
Ghada Yousif1, Selvasankar Murugesan1, Mohamed Nadhir Djekidel1
1Research Department, Sidra Medicine, Doha, Qatar.
Insights
Saliva proteomics can identify individuals at high risk for cardiovascular disease (CVD). This study found shared biomarkers in saliva and plasma, offering a non-invasive diagnostic tool for early CVD risk detection.
Area of Science:
- Proteomics
- Biomarker Discovery
- Cardiovascular Health
Background:
- Cardiovascular disease (CVD) is a major global health concern.
- Early diagnosis of CVD risk is crucial for effective management.
- Saliva offers a non-invasive source for potential CVD biomarkers, but large-scale proteomic studies are limited.
Purpose of the Study:
- To assess salivary and plasma proteomes in individuals at high risk for CVD.
- To identify potential diagnostic biomarkers for CVD risk using a large-scale proteomic approach.
- To compare proteomic signatures between saliva and plasma for CVD risk assessment.
Main Methods:
- Utilized the SOMAscan platform for large-scale proteomic analysis.
- Analyzed 1,317 proteins in saliva and plasma from high-risk CVD (HR-CVD) and low-risk CVD (LR-CVD) groups.
- Performed pathway enrichment analysis on differentially expressed proteins.
Main Results:
- Significant differences in plasma and salivary protein profiles were observed between HR-CVD and LR-CVD groups.
- Immune system activation and extracellular matrix remodeling were key enriched pathways in the HR-CVD group.
- Identified 42 plasma-unique and 17 saliva-unique differentially expressed proteins, plus eight common CVD-risk biomarkers shared between both biofluids.
Conclusions:
- Saliva proteomics shows significant promise for identifying individuals at high risk of developing CVD.
- Common biomarkers in saliva and plasma suggest potential for non-invasive CVD risk diagnostics.
- Further validation studies are necessary to confirm these findings.
Abstract:
Cardiovascular disease (CVD) remains a leading cause of global morbidity and mortality. Timely diagnosis is important in reducing both short and long-term health complications. Saliva has emerged as a potential source for biomarker discovery, offering a non-invasive tool for early detection of individuals at elevated risk for CVD, yet large-scale extensive proteomic analysis using saliva for a comprehensive biomarker discovery remains limited. In an effort to develop a diagnostic tool using saliva samples, our study aims to assess the salivary and plasma proteomes in subjects with high risk of developing CVD using a large-scale proteomic approach. Leveraging on the SOMAscan platform, we analyzed 1,317 proteins in saliva and plasma collected from subjects at a high risk of CVD (HR-CVD) and compared the profiles to subjects with low risk of CVD (LR-CVD). Our analysis revealed significant differences in the plasma and salivary proteins between the two groups. Pathway enrichment analysis of the differentially detected proteins revealed that the immune system activation and extracellular matrix remodeling are the most enriched pathways in the CVD-HR group. Comparing proteomic signatures between plasma and saliva, we found approximately 42 and 17 differentially expressed proteins associated with CVD-HR uniquely expressed in plasma and saliva respectively. Additionally, we identified eight common CVD-risk biomarkers shared between both plasma and saliva, demonstrating promising diagnostic tools for identifying individuals at high risk of developing CVD. In conclusion, saliva proteomics holds a significant promise to identify subjects with a high risk to develop CVD. Further studies are needed to validate our findings.
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