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Sequence Analysis of the UCP1 Gene in a Severe Obese Population from Southern Italy.

ABSTRACT: Brown adipose tissue, where Uncoupling Protein 1 (UCP1) activity uncouples mitochondrial respiration, is an important site of facultative energy expenditure. This tissue may normally function to prevent obesity. Our aim was to investigate by sequence analysis the presence of UCP1 gene variations that may be associated with obesity. We studied 100 severe obese adults (BMI > 40?kg/m(2)) and 100 normal-weight control subjects (BMI range = 19-24.9?kg/m(2)). We identified 7 variations in the promoter region, 4 in the intronic region and 4 in the exonic region. Globally, 72% of obese patients bore UCP1 polymorphisms. Among UCP1 variants, g.IVS4-208T>G SNP was associated with obesity (OR: 1.77; 95% CI = 1.26-2.50; P = .001). Further, obese patients bearing the g.-451C>T (CT+TT) or the g.940G>A (GA+AA) genotypes showed a higher BMI than not polymorphic obese patients (P = .008 and P = .043, resp.). In conclusion, UCP1 SNPs could represent "thrifty" factors that promote energy storage in prone subjects.

SUBMITTER: Labruna G

PROVIDER: S-EPMC3136174 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Sequence Analysis of the UCP1 Gene in a Severe Obese Population from Southern Italy.

Labruna Giuseppe G Pasanisi Fabrizio F Fortunato Giuliana G Nardelli Carmela C Finelli Carmine C Farinaro Eduardo E Contaldo Franco F Sacchetti Lucia L

Journal of obesity 20110519

Brown adipose tissue, where Uncoupling Protein 1 (UCP1) activity uncouples mitochondrial respiration, is an important site of facultative energy expenditure. This tissue may normally function to prevent obesity. Our aim was to investigate by sequence analysis the presence of UCP1 gene variations that may be associated with obesity. We studied 100 severe obese adults (BMI > 40 kg/m(2)) and 100 normal-weight control subjects (BMI range = 19-24.9 kg/m(2)). We identified 7 variations in the promoter ...[more]

PMID: 21773003

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Project description:Introduction The COVID-19 epidemic and its lockdown dramatically impacted the general well-being of the population and affected sociosexual experiences, thus modifying sexual behavior, desire, and well-being. Clustering analysis has not yet been applied to research and data investigating sociosexuality. The cluster analysis method could be a valid support for clinicians in investigating the condition of a population with respect to problems related to sociosexuality. The aim of the present study was to analyze the different perceptions of the sociosexual experiences in southern population during the COVID-19 pandemic. Methods We enrolled 734 (450 female) participants with a carried out anonymous web-based survey from the 16th of April 2020 to the 3rd June of 2020. The revised Sociosexual Orientation Inventory (SOI-R) is a self-report test assessing three theoretically meaningful facets of sociosexual orientation (behavior, attitude, and desire). Results We found eleven clusters, and the findings showed, for the first time, an intra- and inter-diagnostic heterogeneity in the sexual profile of participants. Theoretically, we identified subtype clusters whose sexual attitude was to avoid sexual promiscuity with significant gender differences. Women show a greater propensity for attitude and desire facet than men. Conclusions Our new method of unsupervised learning could represent a reliable tool to support socio-cultural analysis studies on issues influenced by cultural mechanisms in a quick and explanatory way, as in the case of sexual orientation and attitude differences between men and women. Social and Policy Implications Understanding these gaps is fundamental for policy makers, managers of social networks, those who deal with engaged couples and families, and sexuality starting from the very youngest adolescents. We claim to devise a strategy to measure how much a sexist culture implicitly and explicitly limits the freedom of sexual expression and how this can affect psycho-sexual well-being in a society. Supplementary Information The online version contains supplementary material available at 10.1007/s13178-022-00771-2.

Dataset Information

Sequence Analysis of the UCP1 Gene in a Severe Obese Population from Southern Italy.

Publications

Sequence Analysis of the UCP1 Gene in a Severe Obese Population from Southern Italy.

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