Publications by authors named "S Bezzina Wettinger"

Article Synopsis
  • * Utilizing artificial intelligence (AI) and machine learning (ML), researchers can combine various omics and clinical data to create personalized diagnostic and therapeutic tools.
  • * Collaborative initiatives like AtheroNET COST Action are crucial for addressing challenges such as data quality, integration, and privacy, ultimately improving patient care in ASCVD research.
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Cardiovascular diseases (CVDs) are the leading cause of morbidity and mortality in the adult population worldwide and represent a severe economic burden and public health concern. The majority of human genes do not code for proteins. However, noncoding transcripts play important roles in ageing that significantly increases the risk for CVDs.

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Despite significant advances in the diagnosis and treatment of cardiovascular diseases, recent calls have emphasized the unmet need to improve precision-based approaches in cardiovascular disease. Although some studies provide preliminary evidence of the diagnostic and prognostic potential of circulating coding and non-coding RNAs, the complex RNA biology and lack of standardization have hampered the translation of these markers into clinical practice. In this position paper of the CardioRNA COST action CA17129, we provide recommendations to standardize the RNA development process in order to catalyse efforts to investigate novel RNAs for clinical use.

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In this study, DNA was extracted from whole blood which had been collected and stored at -20°C for 5-18 years, with the aim of determining the most suitable commercial DNA extraction kit for this purpose. DNA from nine cord blood samples collected in 1999, 2001 and 2012, with low blood volumes (<1 ml), and a partly dried adult blood sample collected in 2003, having a large blood volume (6 ml) was extracted using four different DNA extraction kits: Quick-DNA Miniprep Plus kit, DNeasy Blood & Tissue kit, MagAttract HMW DNA kit and QIAamp Blood Maxi kit. We concluded that high-quality DNA can be extracted from whole blood sample collections which have been stored for even up to 18 years in a biobank at -20°C.

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Article Synopsis
  • - Cardiovascular disease (CVD) is the top cause of death globally, highlighting the need for better diagnostic tools and therapies.
  • - A new COST Action focuses on enhancing understanding of the human transcriptome in CVD to improve personalized medicine through interdisciplinary collaboration.
  • - The initiative aims to accelerate research on cardiovascular transcriptomics, support innovative projects, and strengthen European leadership in this crucial health area.
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