Zhang Dongdong, Cheng Cheng, Cao Meng, Wang Tieqiang, Chen Xiaoliang, Zhao Yang, Wang Bingyuan, Ren Yongcheng, Liu Dechen, Liu Leilei, Chen Xu, Liu Feiyan, Zhou Qionggui, Tian Gang, Li Quanman, Guo Chunmei, Li Honghui, Wang Jian, Cheng Ruirong, Hu Dongsheng, Zhang Ming
Center for Community Health Management, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China.
School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China.
J Diabetes. 2020 Jul;12(7):512-520. doi: 10.1111/1753-0407.13021. Epub 2020 Jan 23.
This study aims to estimate type 2 diabetes mellitus (T2DM) incidence with DNA methylation of the thioredoxin-interacting protein (TXNIP) gene and its interaction with environmental factors.
This case-control study included 286 incident T2DM cases and 286 non-T2DM controls matched by sex, age, marital status, race, and residence village nested in the Rural Chinese Cohort Study. A conditional logistic regression model was used to estimate the association of DNA methylation at TXNIP gene with T2DM risk. Also, multifactor dimensionality reduction (MDR) and classification and regression tree (CART) analyses were used to investigate the interaction between TXNIP methylation and environmental risk factors.
Methylation levels of all five CpG loci at TXNIP gene were significantly lower in T2DM than in controls (all P < .001). With increasing methylation level, risk of T2DM was significantly decreased (odds ratio, 95% CI 0.80, 0.69-0.94 for CpG1; 0.80, 0.69-0.93 for CpG2; 0.70, 0.56-0.88 for CpG3; 0.78, 0.66-0.92 for CpG4; and 0.76, 0.60-0.97 for CpG5). Additionally, the essential interactions among TXNIP methylation, obesity, and hypertriglyceridemia were identified by CART and MDR analyses. On logistic regression analysis, the risk of T2DM was reduced with terminal node 5 (CpG3 methylation ≥72%, nonobesity, normal triglyceride (TG) level, and CpG4 methylation ≥83%) vs terminal node 1 (CpG3 methylation <72%) (odds ratio 95% CI 0.20, 0.10-0.40).
TXNIP methylation is associated with T2DM incidence in a Chinese population. Interaction between TXNIP methylation and environmental factors may influence T2DM risk and needs more investigation.
本研究旨在通过硫氧还蛋白相互作用蛋白(TXNIP)基因的DNA甲基化及其与环境因素的相互作用来估计2型糖尿病(T2DM)的发病率。
这项病例对照研究纳入了286例新发T2DM病例和286例非T2DM对照,这些对照按性别、年龄、婚姻状况、种族和居住村庄进行匹配,嵌套于中国农村队列研究中。采用条件逻辑回归模型来估计TXNIP基因DNA甲基化与T2DM风险的关联。此外,还使用多因素降维法(MDR)和分类回归树(CART)分析来研究TXNIP甲基化与环境风险因素之间的相互作用。
T2DM患者中TXNIP基因所有五个CpG位点的甲基化水平均显著低于对照组(所有P < 0.001)。随着甲基化水平的升高,T2DM的风险显著降低(CpG1的比值比,95%可信区间为0.80,0.69 - 0.94;CpG2为0.80,0.69 - 0.93;CpG3为0.70,0.56 - 0.88;CpG4为0.78,0.66 - 0.92;CpG5为0.76,0.60 - 0.97)。此外,通过CART和MDR分析确定了TXNIP甲基化、肥胖和高甘油三酯血症之间的重要相互作用。在逻辑回归分析中,与终末节点1(CpG3甲基化 < 72%)相比,终末节点5(CpG3甲基化≥72%,非肥胖,正常甘油三酯(TG)水平,且CpG4甲基化≥83%)的T2DM风险降低(比值比95%可信区间为0.20,0.10 - 0.40)。
TXNIP甲基化与中国人群的TIDM发病率相关。TXNIP甲基化与环境因素之间的相互作用可能会影响T2DM风险,需要更多的研究。