Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical-Biochemical Parameters.

: This study presents an innovative approach to cardiovascular disease (CVD) risk prediction based on a comprehensive analysis of clinical, immunological and biochemical markers using mathematical modelling and machine learning methods. Baseline data include indices of humoral and cellular immunity (CD59, CD16, IL-10, CD14, CD19, CD8, CD4, etc.), cytokines and markers of cardiovascular disease, inflammatory markers (TNF, GM-CSF, CRP), growth and angiogenesis factors (VEGF, PGF), proteins involved in apoptosis and cytotoxicity (perforin, CD95), as well as indices of liver function, kidney function, oxidative stress and heart failure (albumin, cystatin C, N-terminal pro B-type natriuretic peptide (NT-proBNP), superoxide dismutase (SOD), C-reactive protein (CRP), cholinesterase (ChE), cholesterol, and glomerular filtration rate (GFR)).

Immunological Markers of Cardiovascular Pathology in Older Patients.

The aging process is accompanied by changes in the immunological status of a person. Immunosenescence is considered a significant cause of the development of cardiovascular diseases (CVD) in elderly people. However, to date, the relationship between immune/inflammatory processes and diseases associated with age is considered quite complex and is not fully understood.

A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning.

Aging and immune mechanisms play a key role in the development of cardiovascular disease (CVD), especially in the context of chronic inflammation. Therefore, in order to detect early aging in the elderly, we have developed a prognostic model based on clinical and immunological markers using machine learning. This paper analyzes the relationships between immunological markers, clinical parameters, and lifestyle factors in individuals over 60 years of age.

A Case of Successful Treatment of Left Ventricular Rupture after Transcatheter Aortic Valve Implantation.

Background: The article talks about a patient who had nonrheumatic disease of the aortic valve and had a left ventricular rupture during a transcatheter aortic valve implantation (TAVI) procedure.

Methods: The discrepancy between the size of the prosthesis and the size of the native aortic valve (mismatch) led to the need to deploy a second prosthesis, which was dislocated into the left ventricular cavity and led to myocardial damage and the development of tamponade.

Results: As a result of timely cardiac surgery and effective measures of the emergency support service, both prostheses were removed from the left ventricular cavity, the aortic valve was replaced with a "Medtronic Hankock No.

Molecular Characterization of Some Species from Vegetables and Evaluation of Their Antimicrobial and Antibiotic Potency.

Numerous natural habitats, such as soil, air, fermented foods, and human stomachs, are home to different strains. Some strains have a distinctive predominance and are widely recognized among other microbial communities, as a result of their varied habitation and physiologically active metabolites. The present study collected vegetable products (potato, carrot, and tomato) from local markets in Almaty, Kazakhstan.

Multifunctional Roles of Betulinic Acid in Cancer Chemoprevention: Spotlight on JAK/STAT, VEGF, EGF/EGFR, TRAIL/TRAIL-R, AKT/mTOR and Non-Coding RNAs in the Inhibition of Carcinogenesis and Metastasis.

The pursual of novel anticancer molecules from natural sources has gained worthwhile appreciation, and a significant fraction of conceptual knowledge has revolutionized our understanding about heterogeneous nature of cancer. Betulinic acid has fascinated interdisciplinary researchers due to its tremendous pharmacological properties. Ground-breaking discoveries have unraveled previously unprecedented empirical proof-of-concept about momentous chemopreventive role of betulinic acid against carcinogenesis and metastasis.