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3 results on '"Lyudmila B. Vasilyeva"'

1. Association of Common Genetic Risk Variants With Gestational Diabetes Mellitus and Their Role in GDM Prediction

Author

Polina V. Popova, Alexandra A. Klyushina, Lyudmila B. Vasilyeva, Alexandra S. Tkachuk, Elena A. Vasukova, Anna D. Anopova, Evgenii A. Pustozerov, Inga V. Gorelova, Ekaterina N. Kravchuk, O. Li, Tatiana M. Pervunina, Anna A. Kostareva, and Elena N. Grineva

Subjects
genetics, gestational diabetes mellitus, GDM prediction, single nucleotide polymorphism, genetic risk score, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

ObjectiveWe aimed to explore the associations between common genetic risk variants with gestational diabetes mellitus (GDM) risk in Russian women and to assess their utility in the identification of GDM cases.MethodsWe conducted a case-control study including 1,142 pregnant women (688 GDM cases and 454 controls) enrolled at Almazov National Medical Research Centre. The International Association of Diabetes and Pregnancy Study Groups criteria were used to diagnose GDM. A total of 11 single- nucleotide polymorphisms (SNPs), including those in HKDC1 (rs10762264), GCK (rs1799884), MTNR1B (rs10830963 and rs1387153), TCF7L2 (rs7903146 and rs12255372), KCNJ11 (rs5219), IGF2BP2 (rs4402960), IRS1 (rs1801278), FTO (rs9939609), and CDKAL1 (rs7754840) were genotyped using Taqman assays. A logistic regression model was used to calculate odds ratios (ORs) and their confidence intervals (CIs). A simple-count genetic risk score (GRS) was calculated using 6 SNPs. The area under the receiver operating characteristic curve (c-statistic) was calculated for the logistic regression model predicting the risk of GDM using clinical covariates, SNPs that had shown a significant association with GDM in our study, GRS, and their combinations.ResultsTwo variants in MTNR1B (rs1387153 and rs10830963) demonstrated a significant association with an increased risk of GDM. The association remained significant after adjustment for age, pre-gestational BMI, arterial hypertension, GDM in history, impaired glucose tolerance, polycystic ovary syndrome, family history of diabetes, and parity (P = 0.001 and P < 0.001, respectively). After being conditioned by each other, the effect of rs1387153 on GDM predisposition weakened while the effect of rs10830963 remained significant (P = 0.004). The risk of GDM was predicted by clinical variables (c-statistic 0.712, 95 % CI: 0.675 – 0.749), and the accuracy of prediction was modestly improved by adding GRS to the model (0.719, 95 % CI 0.682 – 0.755), and more by adding only rs10830963 (0.729, 95 % CI 0.693 – 0.764).ConclusionAmong 11 SNPs associated with T2D and/or GDM in other populations, we confirmed significant association with GDM for two variants in MTNR1B in Russian women. However, these variants showed limited value in the identification of GDM cases.

Published
2021
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2. Effect of gene-lifestyle interaction on gestational diabetes risk

Author

Alexandra Klyushina, Anna Kostareva, Yana Bolotko, Polina V. Popova, Ekaterina N. Kravchuk, Andrey Gerasimov, Lyudmila B. Vasilyeva, Alexandra S. Tkachuk, Evgenii Pustozerov, Elena N. Grineva, and Alexander V. Predeus

Subjects
0301 basic medicine, lifestyle, endocrine system diseases, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, Type 2 diabetes, Logistic regression, 03 medical and health sciences, 0302 clinical medicine, Diabetes mellitus, medicine, CDKAL1, Pregnancy, business.industry, nutritional and metabolic diseases, single-nucleotide polymorphism, medicine.disease, gestational diabetes mellitus, Gestational diabetes, 030104 developmental biology, Oncology, sausage consumption, type 2 diabetes, business, TCF7L2, Research Paper, Demography
Abstract

// Polina V. Popova 1, 2 , Alexandra A. Klyushina 1 , Lyudmila B. Vasilyeva 1 , Alexandra S. Tkachuk 1 , Yana A. Bolotko 1 , Andrey S. Gerasimov 1 , Evgenii A. Pustozerov 1, 3 , Ekaterina N. Kravchuk 1 , Alexander Predeus 4, 5 , Anna A. Kostareva 1, 4 and Elena N. Grineva 1, 2 1 Almazov National Medical Research Centre, Saint Petersburg, Russia 2 Department of Internal Diseases and Endocrinology, Pavlov First Saint Petersburg State Medical University, Saint Petersburg, Russia 3 Saint Petersburg Electrotechnical University, Saint Petersburg, Russia 4 ITMO University, Saint Petersburg, Russia 5 Bioinformatics Institute, Saint Petersburg, Russia Correspondence to: Polina V. Popova, email: pvpopova@yandex.ru Keywords: gestational diabetes mellitus; type 2 diabetes; lifestyle; single-nucleotide polymorphism; sausage consumption Received: July 10, 2017 Accepted: November 27, 2017 Published: December 06, 2017 ABSTRACT We hypothesized that the association of certain lifestyle parameters with gestational diabetes mellitus (GDM) risk would depend on susceptibility loci. In total, 278 Russian women with GDM and 179 controls completed questionnaires about lifestyle habits (food consumption, physical activity and smoking). GDM was diagnosed according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Maternal blood was sampled for genotyping single-nucleotide polymorphisms (SNPs) in MTNR1B (rs10830963 and rs1387153), GCK (rs1799884), KCNJ11 (rs5219), IGF2BP2 (rs4402960), TCF7L2 (rs7903146 and rs12255372), CDKAL1 (rs7754840), IRS1 (rs1801278) and FTO (rs9939609). Binary logistic regression revealed an interaction effect of sausage intake and the number of risk alleles of two SNPs (rs10830963 in MTNR1B and rs1799884 in GCK ) on GDM risk (P < 0.001). Among women without risk alleles of these two SNPs, sausage consumption was positively associated with GDM risk (P trend = 0.045). This difference was not revealed in women carrying 1 or more risk alleles. The risk of GDM increased as the number of risk alles increased in participants with low and moderate sausage consumption (P trend

Published
2017

3. A Randomised, Controlled Study of Different Glycaemic Targets during Gestational Diabetes Treatment: Effect on the Level of Adipokines in Cord Blood and ANGPTL4 Expression in Human Umbilical Vein Endothelial Cells

Author

Elena Yu. Vasilyeva, Yana Bolotko, M. V. Puzanov, Anna Kostareva, O Li, Alexandra S. Tkachuck, Lyudmila B. Vasilyeva, Evgenii Pustozerov, Irina E. Zazerskaya, Renata I. Dmitrieva, A Golovkin, Polina V. Popova, and Elena N. Grineva

Subjects
medicine.medical_specialty, Article Subject, Endocrinology, Diabetes and Metabolism, Adipokine, 030209 endocrinology & metabolism, 030204 cardiovascular system & hematology, lcsh:Diseases of the endocrine glands. Clinical endocrinology, Umbilical vein, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, ANGPTL4, Internal medicine, Gene expression, Medicine, lcsh:RC648-665, Adiponectin, Endocrine and Autonomic Systems, business.industry, Leptin, medicine.disease, Gestational diabetes, Cord blood, business, Research Article
Abstract

Our aim was to study the expression of adipokine-encoding genes (leptin, adiponectin, and angiopoietin-like protein 4 (ANGPTL4)) in human umbilical vein endothelial cells (HUVECs) and adipokine concentration in cord blood from women with gestational diabetes mellitus (GDM) depending on glycaemic targets. GDM patients were randomised to 2 groups per target glycaemic levels: GDM1 (tight glycaemic targets, fasting blood glucose N=20) and GDM2 (less tight glycaemic targets, N=21). The control group included 25 women with normal glucose tolerance. ANGPTL4 expression was decreased in the HUVECs from GDM patients versus the control group (23.11 ± 5.71, 21.47 ± 5.64, and 98.33 ± 20.92, for GDM1, GDM2, and controls; p<0.001) with no difference between GDM1 and GDM2. The level of adiponectin gene expression was low and did not differ among the groups. Leptin gene expression was undetectable in HUVECs. In cord blood, leptin/adiponectin ratio (LAR) was increased in GDM2 compared to controls and GDM1 (p=0.038) and did not differ between GDM1 and controls. Tight glycaemic targets were associated with normalisation of increased LAR in the cord blood. ANGPTL4 expression was downregulated in HUVECs of newborns from GDM mothers and was not affected by the intensity of glycaemic control.

Published
2018

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