Publications by authors named "G I Lifshits"

Article Synopsis
  • The study develops a machine learning model to predict major adverse cardiac events (MACEs) in high-risk myocardial infarction (MI) patients, incorporating clinical, imaging, laboratory, and genetic data.
  • It analyzes data from 218 MI patients over 9 years, focusing on the influence of the VEGFR-2 gene variant as part of the overall risk assessment.
  • The CatBoost algorithm performed best, with statin dosage and genetic factors identified as key predictors of adverse events, highlighting the potential for personalized treatment approaches based on genetic information.
View Article and Find Full Text PDF

The angiotensin-converting enzyme (ACE) gene () insertion/deletion () polymorphism raises the possibility of personalising ACE inhibitor therapy to optimise its efficiency and reduce side effects in genetically distinct subgroups. However, the extent of its influence among these subgroups is unknown. Therefore, we extended our computational model of blood pressure regulation to investigate the effect of the polymorphism on haemodynamic parameters in humans undergoing antihypertensive therapy.

View Article and Find Full Text PDF

Antibodies against the receptor-binding domain of the SARS-CoV-2 spike protein (RBD S-protein) contribute significantly to the humoral immune response during coronavirus infection (COVID-19) and after vaccination. The main focus of the studies of the RBD epitope composition is usually concentrated on the epitopes recognized by the virus-neutralizing antibodies. The role of antibodies that bind to RBD but do not neutralize SARS-CoV-2 remains unclear.

View Article and Find Full Text PDF

Antibody-dependent enhancement (ADE) has been shown previously for SARS-CoV-1, MERS-CoV, and SARS-CoV-2 infection in vitro. In this study, the first monoclonal antibody (mAb) that causes ADE in a SARS-CoV-2 in vivo model was identified. mAb RS2 against the SARS-CoV-2 S-protein was developed using hybridoma technology.

View Article and Find Full Text PDF

Hypertension is a multifactorial disease arising from complex pathophysiological pathways. Individual characteristics of patients result in different responses to various classes of antihypertensive medications. Therefore, evaluating the efficacy of therapy based on predictions is an important task.

View Article and Find Full Text PDF