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.

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