| 2 | Application of the back-error propagation artificial neural network(BPANN) on genetic variants in the PPAR-γ and RXR-α gene and risk of metabolic syndrome in a Chinese Han population显示文摘This study was aimed to explore the associations between the combined effects of several polymorphisms in the PPAR-γ and RXR-α gene and environmental factors with the risk of metabolic syndrome by back-error propagation artificial neural network(BPANN).We established the model based on data gathered from metabolic syndrome patients(n = 1012) and normal controls(n = 1069) by BPANN.Mean impact value(MIV) for each input variable was calculated and the sequence of factors was sorted according to their absolute MIVs.Generalized multifactor dimensionality reduction(GMDR) confirmed a joint effect of PPAR-γ and RXR-α based on the results from BPANN.By BPANN analysis,the sequences according to the importance of metabolic syndrome risk factors were in the order of body mass index(BMI).serum adiponectin,rs4240711,gender,rs4842194,family history of type 2 diabetes,rs2920502,physical activity,alcohol drinking,rs3856806,family history of hypertension,rsl045570,rs6537944,age,rsl7817276,family history of hyperlipidemia,smoking,rs1801282 and rs3132291.However,no polymorphism was statistically significant in multiple logistic regression analysis.After controlling for environmental factors,A_1,A_2,B_1 and B_2(rs4240711,rs4842194,rs2920502 and rs3856806) models were the best models(cross-validation consistency 10/10,P = 0.0107) with the GMDR method.In conclusion,the interaction of the PPAR-γ and RXR-α gene could play a role in susceptibility to metabolic syndrome.A more realistic model is obtained by using BPANN to screen out determinants of diseases of multiple etiologies like metabolic syndrome. | Xu Zhao Kang Xu Hui Shi Jinluo Cheng Jianhua Ma Yanqin Gao Qian Li Xinhua Ye Ying Lu Xiaofang Yu Juan Du Wencong Du Qing Ye Ling Zhou | 2014 | The Journal of Biomedical Research2014，28，2： | 3 |
| 3 | 2型糖尿病家系非糖尿病一级亲属胰岛β细胞功能状态的研究显示文摘目的:探讨2型糖尿病(T2DM)家系非糖尿病一级亲属在不同糖耐量时胰岛素分泌第一时相的变化,及其在2型糖尿病发生、发展中的作用。方法:收集T2DM一级亲属正常糖耐量(NGT)组30例、糖耐量异常(IGT)组32例及新诊断T2DM组38例,并以无糖尿病家族史的30例健康成人(NC)为对照组,进行25 g静脉葡萄糖耐量试验(IVGTT),计算各组第一时相胰岛素分泌功能指数(AIR3-5)及胰岛素敏感指数(ISI)并进行比较。结果:新诊断的T2DM人群中,Homaβ、FPG、AIR3-5和ISI异常最为明显;而T2DM家系非糖尿病一级亲属的AIR3-5(53.67±2.36)mU/L和正常对照人群相比(80.85±1.43)mU/L出现下降;而ISI显著低于正常组均(P<0.01),但所有指标均处在正常人群和新诊断T2DM患者之间。结论:与正常对照人群相比,T2DM一级亲属NGT人群的胰岛β细胞第一时相胰岛素分泌减低,且存在胰岛素抵抗。 | 杨曙晖 谢培文 郭少明 林侬君 翁晓旭 | 2011 | 细胞与分子免疫学杂志2011，27，12： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员