Cardiovascular disease (CVD) remains the leading cause of death worldwide and, despite continuous advances, better diagnostic and prognostic tools, as well as therapy, are needed. The human transcriptome, which is the set of all RNA produced in a cell, is much more complex than previously thought and the lack of dialogue between researchers and industrials and consensus on guidelines to generate data make it harder to compare and reproduce results. This European Cooperation in Science and Technology (COST) Action aims to accelerate the understanding of transcriptomics in CVD and further the translation of experimental data into usable applications to improve personalized medicine in this field by creating an interdisciplinary network. It aims to provide opportunities for collaboration between stakeholders from complementary backgrounds, allowing the functions of different RNAs and their interactions to be more rapidly deciphered in the cardiovascular context for translation into the clinic, thus fostering personalized medicine and meeting a current public health challenge. Thus, this Action will advance studies on cardiovascular transcriptomics, generate innovative projects, and consolidate the leadership of European research groups in the field.COST (European Cooperation in Science and Technology) is a funding organization for research and innovation networks (www.cost.eu).
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http://dx.doi.org/10.3390/ncrna5020031 | DOI Listing |
Diabetes Ther
December 2024
Patient Author, Heart Sistas, North Lauderdale, FL, USA.
Type 2 diabetes (T2D) frequently coexists with cardiorenal complications. Therefore, a holistic approach to patient management is required, with specialists such as primary care physicians, cardiologists, endocrinologists, and nephrologists working together to provide patient care. Although glycemic control is important in the management of T2D, patients with T2D and acceptable glycemic control are still at risk from cardiovascular (CV) events such as stroke, heart attack, and heart failure (HF).
View Article and Find Full Text PDFJ Echocardiogr
December 2024
Department of Cardiology, Lebanese American University Medical Center - Rizk Hospital, Beirut, Lebanon.
Left atrial strain (LAS) was recently introduced as a parameter that reflects on left atrial function. Consequently, changes in LAS can inform the development of cardiovascular diseases, hence providing a window for non-invasive and cost-effective testing of these diseases and their complications at early stages of development, potentially offering a segway towards preventive interventions. LAS has yet to be implemented into standard practice.
View Article and Find Full Text PDFCardiovasc Drugs Ther
December 2024
Department of Cardiology, Qingdao University, Qingdao, Shandong, China.
Z Gerontol Geriatr
December 2024
2. Med. Abteilung, Klinik Landstraße, Juchgasse 25, 1030, Wien, Österreich.
Background: Little is known about how younger and older hospitalized patients differ with respect to reasons for admission, comorbidities, diagnostics, treatment and intercurrent problems.
Objective: The aim of the study was to compare the previously named characteristics in the clinical profile of patients > 90 years old (nonagenarians) with a control group of patients 70-75 years old admitted to an emergency hospital department for internal medicine and cardiology.
Material And Method: The study included all consecutive nonagenarians and gender-matched control patients who were admitted during 2011.
Stress
December 2025
Technology Transfer and Innovation-Support Office, North-West University, Potchefstroom, South Africa.
Background: Self-reported mental stress is not consistently recognized as a risk factor for stroke. This prompted development of a novel algorithm for stress-phenotype indices to quantify chronic stress prevalence in relation to a modified stroke risk score in a South African cohort. The algorithm is based on biomarkers adrenocorticotrophic hormone, high-density lipoprotein cholesterol, high-sensitive cardiac-troponin-T, and diastolic blood pressure which exemplifies the stress-ischemic-phenotype index.
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