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Published on: September 22, 2020
Inflammatory and Prothrombotic Biomarkers, DNA Polymorphisms, MicroRNAs and Personalized Medicine for Patients with
Pavel Poredoš1, Mišo Šabovič1,2, Mojca Božič Mijovski1,3
1Department of Vascular Diseases, University Medical Centre Ljubljana, 1525 Ljubljana, Slovenia.
Insights
Identifying genetic predispositions like DNA polymorphisms and microRNAs (miRNAs), alongside inflammatory and coagulation markers, can improve peripheral arterial disease (PAD) risk prediction and personalize treatments.
Area of Science:
- Cardiovascular Medicine
- Genetics and Epigenetics
- Biomarker Discovery
Background:
- Classical risk factors are insufficient for accurately estimating cardiovascular event risk.
- Atherosclerosis, particularly peripheral arterial disease (PAD), requires additional predictive markers.
- Inflammatory and prothrombotic circulating biomarkers are associated with PAD presence and progression.
Purpose of the Study:
- To explore the role of genetic polymorphisms and microRNAs (miRNAs) in PAD development.
- To evaluate the utility of combining genetic factors with circulating biomarkers for PAD prediction.
- To identify potential targets for personalized therapeutic strategies in PAD.
Main Methods:
- Analysis of circulating inflammatory markers (e.g., interleukin-6, C-reactive protein) and prothrombotic markers.
- Investigation of genetic polymorphisms, particularly in noncoding regions, affecting PAD risk factors.
- Assessment of microRNA (miRNA) expression patterns in relation to PAD and clinical outcomes.
Main Results:
- Genetic polymorphisms moderately influence PAD risk factors, including metabolism, diabetes, hypertension, and inflammation.
- MicroRNAs (miRNAs) show varying expression patterns in atherosclerotic diseases and potential for PAD detection.
- Combined assessment of genetic predisposition (DNA polymorphisms, miRNAs) and circulating markers shows promise.
Conclusions:
- Integrating genetic predisposition (DNA polymorphisms, miRNAs) with inflammatory and coagulation markers enhances PAD prediction accuracy.
- This multi-faceted approach offers potential for developing personalized therapeutic options for PAD patients.
- Further research into noncoding variants and miRNA functions is crucial for refining risk models.
Abstract:
Classical risk factors play a major role in the initiation and development of atherosclerosis. However, the estimation of risk for cardiovascular events based only on risk factors is often insufficient. Efforts have been made to identify biomarkers that indicate ongoing atherosclerosis. Among important circulating biomarkers associated with peripheral arterial disease (PAD) are inflammatory markers which are determined by the expression of different genes and epigenetic processes. Among these proinflammatory molecules, interleukin-6, C-reactive protein, several adhesion molecules, CD40 ligand, osteoprotegerin and others are associated with the presence and progression of PAD. Additionally, several circulating prothrombotic markers have a predictive value in PAD. Genetic polymorphisms significantly, albeit moderately, affect risk factors for PAD via altered lipoprotein metabolism, diabetes, arterial hypertension, smoking, inflammation and thrombosis. However, most of the risk variants for PAD are located in noncoding regions of the genome and their influence on gene expression remains to be explored. MicroRNAs (miRNAs) are single-stranded, noncoding RNAs that modulate gene expression at the post-transcriptional level. Patterns of miRNA expression, to some extent, vary in different atherosclerotic cardiovascular diseases. miRNAs appear to be useful in the detection of PAD and the prediction of progression and revascularization outcomes. In conclusion, taking into account one's predisposition to PAD, i.e., DNA polymorphisms and miRNAs, together with circulating inflammatory and coagulation markers, holds promise for more accurate prediction models and personalized therapeutic options.
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