👤 S E Semaev

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5
Articles
2
Name variants
Also published as: Sergey Semaev
articles
Olga Timoshchenko, Elena Shakhtshneider, Dinara Ivanoshchuk +4 more · 2026 · International journal of molecular sciences · MDPI · added 2026-04-24
The aim of the study was to characterize the prevalence of comorbidities and molecular genetic status in patients with familial hypercholesterolemia (FH) and non-familial hypercholesterolemia (non-FH) Show more
The aim of the study was to characterize the prevalence of comorbidities and molecular genetic status in patients with familial hypercholesterolemia (FH) and non-familial hypercholesterolemia (non-FH). This cross-sectional observational study included 323 patients. Assessments comprised personal and family histories, physical examination, fasting lipid profiling, and molecular genetic testing. Patients with FH were not characterized by an increased prevalence of type 2 diabetes mellitus. In contrast, the non-FH group demonstrated a pronounced cardiometabolic comorbidity profile with a high prevalence of recurrent chronic pancreatitis. Patients with probable or definite FH had a higher prevalence of coronary heart disease and peripheral atherosclerosis, whereas myocardial infarction (MI) was common across all studied groups. Among patients with definite and probable FH, pathogenetic variants were identified in 78.2% and 71.4%, respectively, predominantly in the Show less
📄 PDF DOI: 10.3390/ijms27031214
APOB
D E Ivanoshchuk, A B Kolker, O V Timoshchenko +2 more · 2023 · Vavilovskii zhurnal genetiki i selektsii · added 2026-04-24
One of the most common congenital metabolic disorders is familial hypercholesterolemia. Familial hypercholesterolemia is a condition caused by a type of genetic defect leading to a decreased rate of r Show more
One of the most common congenital metabolic disorders is familial hypercholesterolemia. Familial hypercholesterolemia is a condition caused by a type of genetic defect leading to a decreased rate of removal of low-density lipoproteins from the bloodstream and a pronounced increase in the blood level of total cholesterol. This disease leads to the early development of cardiovascular diseases of atherosclerotic etiology. Familial hypercholesterolemia is a monogenic disease that is predominantly autosomal dominant. Rare pathogenic variants in the LDLR gene are present in 75-85 % of cases with an identified molecular genetic cause of the disease, and variants in other genes (APOB, PCSK9, LDLRAP1, ABCG5, ABCG8, and others) occur at a frequency of < 5 % in this group of patients. A negative result of genetic screening for pathogenic variants in genes of the low-density lipoprotein receptor and its ligands does not rule out a diagnosis of familial hypercholesterolemia. In 20-40 % of cases, molecular genetic testing fails to detect changes in the above genes. The aim of this work was to search for new genes associated with the familial hypercholesterolemia phenotype by modern high-tech methods of sequencing and machine learning. On the basis of a group of patients with familial hypercholesterolemia (enrolled according to the Dutch Lipid Clinic Network Criteria and including cases confirmed by molecular genetic analysis), decision trees were constructed, which made it possible to identify cases in the study population that require additional molecular genetic analysis. Five probands were identified as having the severest familial hypercholesterolemia without pathogenic variants in the studied genes and were analyzed by whole-genome sequencing on the HiSeq 1500 platform (Illumina). The whole-genome sequencing revealed rare variants in three out of five analyzed patients: a heterozygous variant (rs760657350) located in a splicing acceptor site in the PLD1 gene (c.2430-1G>A), a previously undescribed single-nucleotide deletion in the SIDT1 gene [c.2426del (p.Leu809CysfsTer2)], new missense variant c.10313C>G (p.Pro3438Arg) in the LRP1B gene, and single-nucleotide deletion variant rs753876598 [c.165del (p.Ser56AlafsTer11)] in the CETP gene. All these variants were found for the first time in patients with a clinical diagnosis of familial hypercholesterolemia. Variants were identified that may influence the formation of the familial hypercholesterolemia phenotype. Show less
📄 PDF DOI: 10.18699/VJGB-23-63
CETP
Sergey Semaev, Elena Shakhtshneider, Liliya Shcherbakova +6 more · 2023 · International journal of molecular sciences · MDPI · added 2026-04-24
The individual risk of an unfavorable cardiovascular outcome is determined by genetic factors in addition to lifestyle factors. This study was aimed at analyzing possible associations of several genet Show more
The individual risk of an unfavorable cardiovascular outcome is determined by genetic factors in addition to lifestyle factors. This study was aimed at analyzing possible associations of several genetic factors with the risk of myocardial infarction (MI). For our study, we selected genes that have been significantly associated with MI in meta-analyses: the chromosomal region 9p21.3, the Show less
📄 PDF DOI: 10.3390/ijms241310908
CETP
Elena Shakhtshneider, Dinara Ivanoshchuk, Olga Timoshchenko +6 more · 2021 · Journal of personalized medicine · MDPI · added 2026-04-24
The aim of this work was to identify genetic variants potentially involved in familial hypercholesterolemia in 43 genes associated with lipid metabolism disorders. Targeted high-throughput sequencing Show more
The aim of this work was to identify genetic variants potentially involved in familial hypercholesterolemia in 43 genes associated with lipid metabolism disorders. Targeted high-throughput sequencing of lipid metabolism genes was performed (80 subjects with a familial-hypercholesterolemia phenotype). For patients without functionally significant substitutions in the above genes, multiplex ligation-dependent probe amplification was conducted to determine bigger mutations (deletions and/or duplications) in the Show less
📄 PDF DOI: 10.3390/jpm11111232
APOC3
Sergey Semaev, Elena Shakhtshneider, Pavel Orlov +5 more · 2019 · Biomolecules · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/biom9110739
CETP