Barus Jimmy, Setyopranoto Ismail, Sadewa Ahmad Hamim, Wibowo Samekto
Department of Neurology, School of Medicine and Health Sciences, Universitas Katolik Indonesia Atma Jaya, Jakarta, Indonesia.
Department of Neurology, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Open Access Maced J Med Sci. 2018 Oct 7;6(10):1784-1789. doi: 10.3889/oamjms.2018.399. eCollection 2018 Oct 25.
This study aimed to confirm the role of f gene polymorphism and Diabetic Polyneuropathy (DPN) in the Indonesian population as well as to investigate its relationship with VEGF-A level and the role of vascular risk factors.
This was a cross-sectional study involving 152 subjects. Clinical symptoms and signs of DPN were examined using DNE and DNS scoring followed by nerve conduction study. All subjects underwent anthropometric, clinical examination and laboratory procedures to obtain body mass index, HbA1C level, lipid profile, Polymorphism of gene (PCR-RFLP technique), and VEGF-A plasma level (ELISA). Statistical analysis using a t-test or Mann-Whitney was performed to assess continuous data and Chi-square for categorical data. Multivariate logistic regressions were also performed to determine the relationship between independent variables and DPN.
Sixty-nine (45.4%) fulfilled the diagnostic criteria of DPN. There was a significant association between genotype and DPN (OR 0.35 95%CI 0.16-0.79 p = 0.01). Multivariate logistic regression showed that plasma VEGF-A level (OR = 1.003; 95% CI = 1.000-1.007; p = 0.03), diabetes duration (OR = 1.108; 95% CI = 1.045-1.175; p = 0.001), and genotype (OR = 0.347; 95%CI = 0.148-0.817; p = 0.013) were associated with DPN. Sub-group analysis on subjects with HbA1C level ≥7% showed that VEGF-A (OR = 1.011; 95%CI = (1.004-1.017; p = 0.03), diabetes duration (OR = 1.245; 95% CI = 1.117-1.388; p < 0.001), genotype (OR = 0.259; 95%CI = 0.074-0.911p = 0.035), with an adition of HDL (OR = 0.916; 95% CI = 0.857-0.978; p = 0.009) were significant predictors of DPN while LDL (OR = 1.017; 95% CI = 1.000-1.035; p = 0.053) acted as modifying factor.
It appeared that genotype of gene might act as a protecting factor for DPN while VEGF-A, diabetes duration, HDL, and LDL acted as risk factors especially on subjects with HbA1C level ≥ 7.
本研究旨在证实f基因多态性与糖尿病性多发性神经病(DPN)在印度尼西亚人群中的作用,并研究其与血管内皮生长因子A(VEGF-A)水平的关系以及血管危险因素的作用。
这是一项横断面研究,涉及152名受试者。使用糖尿病性神经病检查(DNE)和糖尿病性神经病评分(DNS)对DPN的临床症状和体征进行检查,随后进行神经传导研究。所有受试者均接受人体测量、临床检查和实验室检查,以获取体重指数、糖化血红蛋白(HbA1C)水平、血脂谱、基因多态性(聚合酶链反应-限制性片段长度多态性技术)和血浆VEGF-A水平(酶联免疫吸附测定)。采用t检验或曼-惠特尼检验进行统计分析以评估连续数据,采用卡方检验分析分类数据。还进行了多因素逻辑回归分析以确定自变量与DPN之间的关系。
69名(45.4%)符合DPN的诊断标准。基因基因型与DPN之间存在显著关联(比值比[OR]0.35,95%置信区间[CI]0.16 - 0.79,p = 0.01)。多因素逻辑回归分析显示,血浆VEGF-A水平(OR = 1.003;95%CI = 1.000 - 1.007;p = 0.03)、糖尿病病程(OR = 1.108;95%CI = 1.045 - 1.175;p = 0.001)和基因基因型(OR = 0.347;95%CI = 0.148 - 0.817;p = 0.013)与DPN相关。对HbA1C水平≥7%的受试者进行亚组分析显示,VEGF-A(OR = 1.011;95%CI = 1.004 - 1.017;p = 0.03)、糖尿病病程(OR = 1.245;95%CI = 1.117 - 1.388;p < 0.001)、基因基因型(OR = 0.259;95%CI = 0.074 - 0.911,p = 0.035),以及高密度脂蛋白(HDL)(OR = 0.916;95%CI = 0.857 - 0.978;p = 0.009)是DPN的显著预测因素,而低密度脂蛋白(LDL)(OR = 1.017;95%CI = 1.000 - 1.035;p = 0.053)起修饰作用。
基因的基因型可能是DPN的保护因素,而VEGF-A、糖尿病病程、HDL和LDL是危险因素,尤其是在HbA1C水平≥7的受试者中。