3 research outputs found

    EVALUATION OF BODY FAT COMPOSITION IN BRAZILIAN WOMEN BY ANTHROPOMETRY, BIOIMPEDANCE AND DUAL ENERGY X-RAY ABSORPTIOMETRY

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    This study was designed to evaluate and compare the percentage of body fat (% BF) in women with % BF over 30% by three different methods: skinfolds (SKF), bioelectrical impedance analysis (BIA) and dual energy x-ray absorptiometry (DXA). In addition, the behavior of quantitative variables such as body mass index (BMI) and DXA was evaluated. Twenty-eight volunteers who averaged 27.7 years old, 76.2 kg, 1.63 m tall and with a BMI of 28.5 kg/m² participated in this study. The assessment of body fat by DXA, SKF and BIA gave means of 44.1%, 39.8% and 34.3%, respectively. The BMI data, used to classify obesity, ranged from 22.22 to 37.5 kg/ m². Statistical differences were found among the values obtained using the three methods (P < 0.001). It can be inferred that different results may be obtained depending on the technique used for measuring fat percentage, DXA showed the highest sensitivity, followed by SKF and BIA. All techniques provided values strongly associated with BMI, however, some subjects with % BF over 30% were classified as normal weight by BMI

    Targeted next-generation sequencing of glandular odontogenic cyst: a preliminary study

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    Glandular odontogenic cyst (GOC) is an uncommon developmental cyst. Its molecular pathogenesis is unclear, and deep sequencing may help identify causative low-frequency variants in tumors. We investigated in GOC mutations in 50 genes commonly altered in human cancers. Study Design Targeted next-generation sequencing was used to interrogate a panel of approximately 2800 mutations in GOC. Results Six missense single nucleotide variations (SNVs) were reported. Three SNVs (TP53 rs1042522, KDR rs1870377, and KIT rs3822214) are listed as “common single-nucleotide polymorphisms” at the UCSC Genome Browser. The other SNVs (PIK3CA p.Glu689Lys, PIK3CA p.Ala708Thr, and TP53 p.Leu289Phe) are predicted to have deleterious or damaging effects on proteins, but they showed very low frequency in our samples and could not be further validated by orthogonal methods. Conclusions No pathogenic SNV was detected in this cohort of GOCs. Further studies with larger gene panels or whole exome sequencing are needed to find the genetic basis of GOC1245490494CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE MINAS GERAIS - FAPEMIGSem informaçãoSem informaçã
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