International Multiconference “Bioinformatics of Genome Regulation and Structure\Systems Biology”

Tag

obesity

5 RESULTS
Systems Biology and Biomedicine symposiumInfluence of the Factors of Maternal Milieu on Taste Preferences and Metabolic Parameters in Mouse Male and Female Offspring

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

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Poster (download)

[pdf-embedder url=”https://bgrssb.icgbio.ru/wp-content/uploads/2020/07/140.pdf”]
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

Ожидание в настоящее время является лидером среди неинфекционных заболеваний. Перегрузка калориями вызывает развитие ожирения. Было показано, что пренатальное и раннее постнатальное состояние влияет на восприимчивость к ожирению и может влиять на вкусовые предпочтения [1], однако механизмы, опосредующие материнское влияние на вкусовые предпочтения у потомства, неизвестны. Гормон лептина жировой ткани может быть одним из факторов, опосредующих материнское влияние на фенотип потомства. Было показано, что повышение уровня лепты в крови у беременных [2, 3] и программирование эффектов лептины могут быть различными у потомства разных полов.Неизвестно, связано ли это с положительным программным эффектом материнского лептина с предрасположенностью к его влиянию на вкусовые предпочтения. Эти исследования должны были повлиять на беременность, на мышечный метаболизм, частоту ожогов, вызванную диетой и вкусовыми предпочтениями у потомства разных полов.

Systems Biology and Biomedicine symposiumDysbiosis in the Gut Microbiota of Adolescents with Obesity

Dysbiosis in the Gut Microbiota of Adolescents with Obesity

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Novikova Evgenia Anatolyevna1, Bairova Tatyana Ananyevna2, Belkova Natalia Leonidovna3, Pogodina Anna Valeryevna4, Romanitsa Anastasia Igorevna5, Rychkova Lyubov Vladimirovna6
1Scientific РЎentre of Family Health and Human Reproduction Problems, europe411@mail.ru
2Scientific РЎentre of Family Health and Human Reproduction Problems, tbairova38@mail.ru
3Scientific РЎentre of Family Health and Human Reproduction Problems, nlbelkova@gmail.com
4Scientific РЎentre of Family Health and Human Reproduction Problems, pogodina_av@inbox.ru
5Scientific РЎentre of Family Health and Human Reproduction Problems, f1693@rambler.ru
6Scientific РЎentre of Family Health and Human Reproduction Problems, 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 in the main group, and 22 adolescents with normal weight (SDS BMI=0,01В±0,50) in the control group. The metagenome sequencing of V3-V4 variable regions of 16S rDNA was done by Novogene Company (China).В  Data were analyzed using the StatSoft STATISTICA 10.0 software package. Statistical significance was accepted at the p<0.05 level. We did not find any variations between two groups in the main phylum Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, and following genera Bacteroides, Alistipes, Subdoligranulum, Megasphaera, Blautia, Akkermansia, Odoribacter, Lactobacillus, Bifidobacterium. But for phylotypes Enterobacter and Anaerotruncus the differences in gut microbiota composition were found. The obese participants had a 2-fold decrease in Enterobacter (p=0.02), and an increase – in the Anaerotruncus phylotype (p=0.04). Summing up the results we might say that adolescents with obesity had decreased the number of the phylum Proteobacteria (the Enterobacter phylotype) and increased the level of the phylum Firmicutes (the Anaerotruncus phylotype).

Genomics, transcriptomics, bioinformatics symposiumSoftware pipeline for the analysis of the functional role of nucleotide substitutions in regulatory regions of genes and its testing on polymorphisms associated with obesity

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

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Poster (download)

[pdf-embedder url=”https://bgrssb.icgbio.ru/wp-content/uploads/2020/07/201.pdf”]
Ekaterina Alekseevna Matrosova1, Vadim Mikhailovich Efimov2, Elena Vasilevna Ignatieva3
1Novosibirsk State University, MatrosovaEA@bionet.nsc.ru
2ICG SB RAS, efimov@bionet.nsc.ru
3ICG 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.

Systems Biology and Biomedicine symposiumContinuous glucose monitoring parameters in insulin-treated type 2 diabetic patients: relationships with obesity and body composition

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

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Poster (download)

[pdf-embedder url=”https://bgrssb.icgbio.ru/wp-content/uploads/2020/07/457.pdf”]
Julia F. Semenova1, Olga N. Fazullina2
1Laboratory 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.ru
2Laboratory 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.

Systems Biology and Biomedicine symposiumClinical and metabolic parameters associated with time in ranges and glucose variability in patients with type 2 diabetes treated with insulin

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

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Poster (download)

[pdf-embedder url=”https://bgrssb.icgbio.ru/wp-content/uploads/2020/07/458.pdf”]
Julia F. Semenova1, Maksim V. Dashkin2, Olga N. Fazullina3
1Laboratory 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.ru
2Research 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.ru
3Laboratory 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.