目的探讨UCP2基因位点rs660339单核苷酸多态性与广西柳州的壮族儿童青少年单纯性肥胖的相关性。方法随机选取285名柳州市儿童青少年(年龄3~18岁),其中单纯性肥胖组151例,健康对照组134例,分别检测身高和体重,测定空腹血糖(fasting bl...目的探讨UCP2基因位点rs660339单核苷酸多态性与广西柳州的壮族儿童青少年单纯性肥胖的相关性。方法随机选取285名柳州市儿童青少年(年龄3~18岁),其中单纯性肥胖组151例,健康对照组134例,分别检测身高和体重,测定空腹血糖(fasting blood-glucose,FBG)、血清总胆固醇(total cholesterol,TC)、甘油三酯(triacylglyceride,TG)、高密度脂蛋白胆固醇(high density lipoproteincholesterol,HDL-C)和低密度脂蛋白胆固醇(low density lipoprotein-cholesterol,LDL-C)两组标本UCP2基因rs660339位点利用SNa Pshot技术检测,统计基因型及等位基因分布频率,并分析两组等位基因构成比。结果肥胖组中除年龄、身高外,与对照组的差异均有统计学意义(P〈0.05)。健康对照组和肥胖组UCP2基因rs660339 C/C型、C/T型及T/T型基因型频率分别为40.30%、49.25%、10.45%和37.09%、50.33%、12.58%,两组C、T等位基因频率分别为64.93%、35.07%和62.25%、37.75%,T等位基因的OR值为1.122,95.9%的可信区间为0.797~1.580。基因型与等位基因频率差异均无统计学意义(P〉0.05)。rs660339位点TT与CC/CT基因型与各代谢指标(血糖、总胆固醇、甘油三酯、高密度脂蛋白、低密度脂蛋白)无显著相关性。结论广西壮族儿童青少年单纯性肥胖组和健康对照组UCP2基因单核苷酸多态性位点rs660339位点基因型的构成比组间无显著性差异,各基因型携带者间代谢指标也无显著性差异。展开更多
<strong>Objective</strong>: <span><span><span style="font-family:verdana;">This study evaluates the association of self-reported race with</span><span style="font-...<strong>Objective</strong>: <span><span><span style="font-family:verdana;">This study evaluates the association of self-reported race with</span><span style="font-family:'Minion Pro Capt','serif';"><span style="font-family:Verdana;"> change in ankle-brachial index (ABI) over time and modification of this association by paraoxonase gene (</span><i><span style="font-family:Verdana;">PON</span></i><span style="font-family:Verdana;">1,</span><i><span style="font-family:Verdana;"> PON</span></i><span style="font-family:Verdana;">2</span><i><span style="font-family:Verdana;"> and PON</span></i><span style="font-family:Verdana;">3) single nucleotide polymorphisms (SNPs). </span></span><b><span style="font-family:verdana;">Methods: </span></b></span></span><span style="font-family:verdana;"><span style="font-family:verdana;"><span style="font-family:verdana;"><span style="font-family:verdana;">This longitudinal study included 11,992 (N</span></span></span></span><span><span><span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">=</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">2952 Black,</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">N</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">=</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:'Minion Pro Capt','serif';"><span style="font-family:Verdana;">9040 White) participants from the Atherosclerosis Risk in Com</span><span style="font-family:verdana;">munities (ARIC) cohort with PON genotyping. Mixed-effects models ex</span><span style="font-family:Verdana;">amined whether race was associated with change in ABI over time after adjustment for known peripheral artery disease (PAD) risk factors.</span></span></span></span></span><span><span><span><span style="font-family:'Minion Pro Capt','serif';"> </span><b><span style="font-family:verdana;">Results:</span></b><i><span style="font-family:'Minion Pro Capt','serif';"> </span></i><span style="font-family:verdana;">Change in ABI over time differed between Whites and Blacks (race-time interaction,</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">p</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;"><</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:'Minion Pro Capt','serif';"><span style="font-family:Verdana;">0.0001). Stratified analyses showed that ABI values were better in both Blacks and Whites who completed high school or more education compared to those who completed less education. None of the </span><i><span style="font-family:Verdana;">PON</span></i><span style="font-family:Verdana;"> SNPs met the significance level (p</span></span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;"><</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">0.001) after Bonferroni correction for multiple comparisons. </span><b><span style="font-family:verdana;">Conclusions:</span></b><i><span style="font-family:'Minion Pro Capt','serif';"> </span></i><span style="font-family:'Minion Pro Capt','serif';"><span style="font-family:Verdana;">ABI differences by race were small and although statistically signif</span><span style="font-family:verdana;">icant, may not be clinically significant. Change in ABI over time varies by</span><span style="font-family:Verdana;"> race and may be modified by education. Results suggest that higher education may influence the lifestyle and behavioral choices contributing to better ABI in both Blacks and Whites</span><span style="font-family:Verdana;">. Further studies are needed to confirm this observation.</span></span></span></span></span>展开更多
文摘目的探讨UCP2基因位点rs660339单核苷酸多态性与广西柳州的壮族儿童青少年单纯性肥胖的相关性。方法随机选取285名柳州市儿童青少年(年龄3~18岁),其中单纯性肥胖组151例,健康对照组134例,分别检测身高和体重,测定空腹血糖(fasting blood-glucose,FBG)、血清总胆固醇(total cholesterol,TC)、甘油三酯(triacylglyceride,TG)、高密度脂蛋白胆固醇(high density lipoproteincholesterol,HDL-C)和低密度脂蛋白胆固醇(low density lipoprotein-cholesterol,LDL-C)两组标本UCP2基因rs660339位点利用SNa Pshot技术检测,统计基因型及等位基因分布频率,并分析两组等位基因构成比。结果肥胖组中除年龄、身高外,与对照组的差异均有统计学意义(P〈0.05)。健康对照组和肥胖组UCP2基因rs660339 C/C型、C/T型及T/T型基因型频率分别为40.30%、49.25%、10.45%和37.09%、50.33%、12.58%,两组C、T等位基因频率分别为64.93%、35.07%和62.25%、37.75%,T等位基因的OR值为1.122,95.9%的可信区间为0.797~1.580。基因型与等位基因频率差异均无统计学意义(P〉0.05)。rs660339位点TT与CC/CT基因型与各代谢指标(血糖、总胆固醇、甘油三酯、高密度脂蛋白、低密度脂蛋白)无显著相关性。结论广西壮族儿童青少年单纯性肥胖组和健康对照组UCP2基因单核苷酸多态性位点rs660339位点基因型的构成比组间无显著性差异,各基因型携带者间代谢指标也无显著性差异。
文摘<strong>Objective</strong>: <span><span><span style="font-family:verdana;">This study evaluates the association of self-reported race with</span><span style="font-family:'Minion Pro Capt','serif';"><span style="font-family:Verdana;"> change in ankle-brachial index (ABI) over time and modification of this association by paraoxonase gene (</span><i><span style="font-family:Verdana;">PON</span></i><span style="font-family:Verdana;">1,</span><i><span style="font-family:Verdana;"> PON</span></i><span style="font-family:Verdana;">2</span><i><span style="font-family:Verdana;"> and PON</span></i><span style="font-family:Verdana;">3) single nucleotide polymorphisms (SNPs). </span></span><b><span style="font-family:verdana;">Methods: </span></b></span></span><span style="font-family:verdana;"><span style="font-family:verdana;"><span style="font-family:verdana;"><span style="font-family:verdana;">This longitudinal study included 11,992 (N</span></span></span></span><span><span><span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">=</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">2952 Black,</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">N</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">=</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:'Minion Pro Capt','serif';"><span style="font-family:Verdana;">9040 White) participants from the Atherosclerosis Risk in Com</span><span style="font-family:verdana;">munities (ARIC) cohort with PON genotyping. Mixed-effects models ex</span><span style="font-family:Verdana;">amined whether race was associated with change in ABI over time after adjustment for known peripheral artery disease (PAD) risk factors.</span></span></span></span></span><span><span><span><span style="font-family:'Minion Pro Capt','serif';"> </span><b><span style="font-family:verdana;">Results:</span></b><i><span style="font-family:'Minion Pro Capt','serif';"> </span></i><span style="font-family:verdana;">Change in ABI over time differed between Whites and Blacks (race-time interaction,</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">p</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;"><</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:'Minion Pro Capt','serif';"><span style="font-family:Verdana;">0.0001). Stratified analyses showed that ABI values were better in both Blacks and Whites who completed high school or more education compared to those who completed less education. None of the </span><i><span style="font-family:Verdana;">PON</span></i><span style="font-family:Verdana;"> SNPs met the significance level (p</span></span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;"><</span><span style="font-family:'Minion Pro Capt','serif';"> </span><span style="font-family:verdana;">0.001) after Bonferroni correction for multiple comparisons. </span><b><span style="font-family:verdana;">Conclusions:</span></b><i><span style="font-family:'Minion Pro Capt','serif';"> </span></i><span style="font-family:'Minion Pro Capt','serif';"><span style="font-family:Verdana;">ABI differences by race were small and although statistically signif</span><span style="font-family:verdana;">icant, may not be clinically significant. Change in ABI over time varies by</span><span style="font-family:Verdana;"> race and may be modified by education. Results suggest that higher education may influence the lifestyle and behavioral choices contributing to better ABI in both Blacks and Whites</span><span style="font-family:Verdana;">. Further studies are needed to confirm this observation.</span></span></span></span></span>