Defects in the low-density lipoprotein receptor (LDLR) are associated with familial hypercholesterolemia (FH), manifested by atherosclerosis and cardiovascular disease. LDLR deficiency in hepatocytes leads to elevated blood cholesterol levels, which damage vascular cells, especially endothelial cells, through oxidative stress and inflammation. However, the distinctions between endothelial cells from individuals with normal and defective LDLR are not yet fully understood.
View Article and Find Full Text PDFThe locus has clinical significance for lipid metabolism, Mendelian familial hypercholesterolemia (FH), and common lipid metabolism-related diseases (coronary artery disease and Alzheimer's disease), but its intronic and structural variants are underinvestigated. The aim of this study was to design and validate a method for nearly complete sequencing of the gene using long-read Oxford Nanopore sequencing technology (ONT). Five PCR amplicons from of three patients with compound heterozygous FH were analyzed.
View Article and Find Full Text PDFStem Cell Res
April 2022
Familial hypercholesterolemia (FH) is an autosomal dominant disorder increasing premature cardiovascular diseases risk due to atherosclerosis. Pathogenic mutations in the LDLR gene cause most FH cases. Available treatments are effective not for all LDLR mutations.
View Article and Find Full Text PDFStem Cell Res
April 2022
The development of cellular models for familial hypercholesterolemia (FH) is an important direction for creating new approaches to atherosclerosis treatment. Pathogenic mutations in the LDLR gene are the main FH source. We generated an iPSC line from peripheral blood mononuclear cells of the patient with compound heterozygous c.
View Article and Find Full Text PDFThe purpose of this work is the authors' attempt to identify the main phases of information transformation in measurement channels on the example of an optical measurement channel with microprocessor control. The authors include such phases: hardware implementation and analytical representation of an optical sensor's converting functions and a current-to-voltage converter; based on the methods of experimental computer science, the converting functions and sensitivity are deduced, analytical dependences for estimation of a range of measurement are obtained. It is shown that the choice of information transmission type in the microprocessor measuring channel significantly affects the speed of the measuring channel.
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