Influence of the Factors of Maternal Milieu on Taste Preferences and Metabolic Parameters in Mouse Male and Female Offspring

Poster (download) Video (download) Denisova Elena1, Makarova Elena2, Savinkova M3 1Laboratory of Physiological Genetics Institute of Cytology and Genetics SB RAS Novosibirsk, RussiaLaboratory of Physiological Genetics Institute of Cytology and Genetics SB RAS Novosibirsk, Russia, elena_nsib@list.ru 2Laboratory of Physiological Genetics Institute of Cytology and Genetics SB RAS Novosibirsk, Russia, enmakarova@gmail.com 3Department of Physiology Novosibirsk State University Novosibirsk, Russia, m.savinkova@g.nsu.ru   Waiting is currently the leader among noncommunicable diseases. Calorie overload causes the development of obesity. It was shown that the prenatal and early postnatal state affects the susceptibility to obesity and can affect taste preferences [1], however, the mechanisms mediating the maternal effect on taste preferences in the offspring are unknown. The adipose tissue leptin hormone may be one of the factors mediating the maternal effect on the phenotype of the offspring. It has been shown that increasing the level of mites in the blood of pregnant women [2, 3] and programming the effects of leptins can be different in the offspring of different sexes. It is not known whether this is due to the positive programmatic effect of maternal leptin with a predisposition to its influence on taste preferences. These studies were supposed to affect pregnancy, muscle metabolism, the frequency of burns caused by diet and taste preferences in offspring of different sexes.

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Software pipeline for the analysis of the functional role of nucleotide substitutions in regulatory regions of genes and its testing on polymorphisms associated with obesity

Poster (download) Ekaterina Alekseevna Matrosova1, Vadim Mikhailovich Efimov2, Elena Vasilevna Ignatieva31Novosibirsk State University, MatrosovaEA@bionet.nsc.ru2ICG SB RAS, efimov@bionet.nsc.ru3ICG SB RAS, eignat@bionet.nsc.ru Genome-wide association studies have shown that approximately 90% of the nucleotide substitutions associated with diseases are located outside the coding regions of the genes, with about 40% occurring in regulatory regions. However, the molecular mechanisms by which such SNPs influence incidence of diseases are still poorly understood. In this work, we have developed a software pipeline that allows us to predict the potential effects of nucleotide substitutions on potential transcription factor binding sites (TFBSs). This pipeline integrates and analyzes information obtained from the UCSC Variant Annotation Integrator and PERFECTOS-APE programs, and the dbSNP, Ensembl and HOCOMOCO databases. The operation of the pipeline was tested on two sets of SNPs. All of them were located in the BDNF gene regulatory regions in the vicinity of the SNP rs11030104 associated with elevated body weight. SNPs from the first set were in linkage disequilibrium with rs11030104 and the second set contained random SNPs. We found some differences in the functional characteristics of TFBSs and corresponding transcription factors identified on the basis of the analysis of these two sets of SNPs.

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Continuous glucose monitoring parameters in insulin-treated type 2 diabetic patients: relationships with obesity and body composition

Poster (download) Julia F. Semenova1, Olga N. Fazullina21Laboratory of Endocrinology Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences(RICEL – Branch of IC&G SB RAS) Novosibirsk, Russia, ekmxtyjr@yandex.ru2Laboratory of Endocrinology Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL – Branch of IC&G SB RAS) Novosibirsk, Russia, fazullina@ngs.ru Background and aim: Obesity and associated insulin resistance can modify daily blood glucose fluctuations in patients with diabetes. The aim of our study was to determine the relationships between obesity, body composition and daily dynamics of glucose, assessed by continuous glucose monitoring (CGM), in patients with type 2 diabetes treated with insulin. Materials and Methods: One hundred and thirty six insulin-treated patients with type 2 diabetes were examined. Real-time or blinded CGM was performed using Medtronic CGM devices in hospital settings. Time in ranges and a panel of GV parameters were derived from CGM recordings. Results: Patients with obesity, as compared to those without, demonstrated significantly reduced Time Below Range (p<0.001), Low Blood Glucose Index (p<0.001), Lability Index (p=0.04), Men Absolute Glucose (p=0.03) and a tendency to lower Mean Amplidude of Glucose Excursions (p=0.08) and higher glycated hemoglobin HbA1c (p=0.07). There were negative correlations between total fat mass and Standard Deviation (r=-0.53, p=0.0008), Mean Amplitude of Glucose Excursions (r=-0.38, p=0.02), Lability Index (r=-0.51, p=0.0008), High Blood Glucose Index (r=-0.33, p=0.04) and MAG (r=-0.57, p=0.0001). Truncal fat mass, android and gynoid fat mass demonstrated negative correlations with these GV parameters also. Conclusions: These data demonstrate the association between obesity, body composition and CGM parameters in insulin-treated type 2 diabetic subjects. The presence of obesity and accumulation of adipose tissue is associated with reduced GV and diminished risk of hypoglycemia.

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Clinical and metabolic parameters associated with time in ranges and glucose variability in patients with type 2 diabetes treated with insulin

Poster (download) Julia F. Semenova1, Maksim V. Dashkin2, Olga N. Fazullina31Laboratory of Endocrinology Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences(RICEL – Branch of IC&G SB RAS) Novosibirsk, Russia, ekmxtyjr@yandex.ru2Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL – Branch of IC&G SB RAS) Novosibirsk, Russia, mdashkin@invitro.ru3Laboratory of Endocrinology Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences(RICEL – Branch of IC&G SB RAS) Novosibirsk, Russia, fazullina@ngs.ru Background and aim: Continuous glucose monitoring (CGM) provides an excellent opportunity for in-depth assessment of glycemic control and glucose variability (GV) in diabetic subjects. The aim of our study was to determine the clinical and metabolic parameters associated with non-targeted time in range (TIR) increased GV in patients with type 2 diabetes (T2D) treated with insulin.В Materials and Methods: One hundred and thirty six insulin-treated patients with T2D were included. Real-time or blinded CGM was performed using Medtronic CGM devices. The TIR and Mean Amplitude of Glucose Excursion (MAGE) were estimated. The advance glycation end-products (AGEs) levels were measured in blood serum by ELISA.В Results: Patients with non-targeted TIR (>70%) had higher glycated hemoglobin HbA1c, triglycerides and proteinuria as compared to those with targeted TIR. Urinary albumin-to-creatinine ratio tended to be higher in patients with non-targeted TIR also. Patients with higher MAGE (>4.5 mmol/l) demonstrated lower levels of triglycerides and uric acid and increased AGEs levels as compared to those with MAGE <4.5 mmol/l.В Conclusions: In T2D subjects, non-targeted TIR is associated with hypertriglyceridemia and proteinuria, meantime, increased MAGE is related to lower serum levels of triglycerides and uric acid and higher levels of AGEs.  

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Dysbiosis in the Gut Microbiota of Adolescents with Obesity

Poster (download) Video (download) Novikova Evgenia Anatolyevna1, Bairova Tatyana Ananyevna2, Belkova Natalia Leonidovna3, Pogodina Anna Valeryevna4, Romanitsa Anastasia Igorevna5, Rychkova Lyubov Vladimirovna61Laboratory of Infectology and Immunoprophylaxis in Pediatrics Scientific РЎentre of Family Health and Human Reproduction Problems Irkutsk, Russia, europe411@mail.ru2Laboratory of Personalized Medicine Scientific РЎentre of Family Health and Human Reproduction Problems Irkutsk, Russia, tbairova38@mail.ru3Laboratory of Microbiome and Microecology Scientific РЎentre of Family Health and Human Reproduction Problems Irkutsk, Russia, nlbelkova@gmail.com4Laboratory of Pediatrics and Cardiovascular Pathology Scientific РЎentre of Family Health and Human Reproduction Problems Irkutsk, Russia, pogodina_av@inbox.ru5Laboratory of Pediatrics and Cardiovascular Pathology Scientific РЎentre of Family Health and Human Reproduction Problems Irkutsk, Russia, f1693@rambler.ru6Director and Head of Pediatry Department Scientific РЎentre of Family Health and Human Reproduction Problems Irkutsk, Russia, rychkova.nc@gmail.com Gut microbiota plays a fundamental role in the pathogenesis of metabolic disorders including obesity. Gut microbial dysbiosis induces immune and metabolic disturbances. We wanted to find out a gut microbiota composition at adolescents with obesity and normal weight. The examined group included 40 adolescents. There were 18 obese adolescents with SDS BMI=2.77В±0.55 (OB), and 22 adolescents with SDS BMI=0.01В±0.50 (CO). The metagenome sequencing of V3-V4 variable regions of 16S rDNA was done by Novogene Company (China). Data were analyzed using the StatSoft STATISTICA 6.0 software package. Statistical significance was accepted at the p<0.05 level. Microbial richness indices and biodiversity indices were similar in the groups with obesity and normal weight. No difference was found between two groups in the phyla Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, and in the following genera Bacteroides, Alistipes, Subdoligranulum, Megasphaera, Blautia, Akkermansia, Odoribacter, Faecalibacterium, Lactobacillus, Bifidobacterium, and Streptococcus. As well as, P/A ratio along with B/F was comparable in both groups. Nevertheless, it should be noted that significant differences in the gut microbiota composition were found for phylotypes. The obese participants had a 2-fold decrease in Enterobacter (42 (13-61) in OB, 167 (42-371) in CO, p=0.02), and an increase – in the Anaerotruncus phylotype (326 (215-732) in OB, 226 (165-320) in CO, p=0.04). Summing up, results point to the dysbiosis of the gut microbiota in adolescences with obesity due to a prevalence of bacterial groups belonging to the phylotype Anaerotruncus (the phylum Firmicutes), whereas the Enterobacter phylotype (the phylum Proteobacteria) is underrepresented.

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