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Weight Phenotype Diagnostic Test Method: Body Mass Index or Body FatPercent for Gene Expression

机译:体重表型诊断测试方法:基因表达的体重指数或体脂百分比

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Obesity continues increasing at epidemic levels worldwide, as does the number of genetic studies that focus onobesity. Body mass index (BMI) is often used to characterize weight phenotypes and obesity status due to its simplicity.Refined measurements of body composition may be needed to understand variations in gene expression. This studyexplores gene expression when individuals are characterized as overweight based on BMI versus body fat percent.Individuals were recruited to a natural history protocol at the National Institutes of Health. Twelve Caucasian participantswith the highest and lowest BMI were included. Whole-body air displacement plethysmography was performed tocalculate body fat percent, and BMI was calculated. Fasting whole blood was collected and RNA extracted. Quantitativereal time PCR array was used to determine expression of 96 obesity related genes. The PCR array from participants withhigh BMI compared to low BMI showed dysregulation of four genes: peroxisome proliferator-activated receptor gammacoactivator 1-alpha (PPARGC1A), pro-opiomelanocortin (POMC), growth hormone secretagogue receptor (GHSR), andleptin (LEP), whereas participants with high body fat compared to low body fat showed dysregulation of one gene:PPARGC1A. This research showed differential gene expression and clinical indices depending on method of weightclassification.
机译:肥胖症在全世界的流行水平上持续增长,专注于肥胖症的基因研究数目也在增加。体重指数(BMI)由于其简单性而经常用于表征体重表型和肥胖状况。可能需要对身体成分进行精确测量以了解基因表达的变化。当根据BMI与体脂百分比确定体重超重时,这项研究探索了基因表达。在国立卫生研究院(National Institutes of Health),根据自然史方案招募了个体。包括十二名白种人,其BMI最高和最低。进行全身空气置换体积描记术以计算体脂百分比,并计算BMI。禁食全血并提取RNA。实时定量PCR芯片用于确定96个肥胖相关基因的表达。高BMI与低BMI相比参与者的PCR阵列显示四个基因失调:过氧化物酶体增殖物激活受体γ-coactivator1-alpha(PPARGC1A),opiomelanocortin(POMC),生长激素促分泌素受体(GHSR),瘦素(LEP),而高脂肪和低脂肪的参与者表现出一种基因:PPARGC1A的失调。这项研究显示了不同的基因表达和临床指标取决于体重分类的方法。

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