Type 2 Diabetes and Adiposity Induce Different Lipid Profile Disorders: A Mendelian Randomization Analysis
Type 2 Diabetes and Adiposity Induce Different Lipid Profile Disorders: A Mendelian Randomization Analysis
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2 型糖尿病和肥胖会诱发不同的血脂异常：孟德尔随机分析
DOI：
10.1210/jc.2017-02789
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发表时间：
2018-05
影响因子：
5.8
通讯作者：
Lu Yingli
中科院分区：
文献类型：
--
作者：
Wang Ningjian;Cheng Jing;Ning Zhiyuan;Chen Yi;Han Bing;Li Qin;Chen Chi;Zhao Li;Xia Fangzhen;Lin Dongping;Guo Lixin;Lu Yingli
背景
2型糖尿病和肥胖常常并存，因此由于相互混杂和反向因果关系，很难判断糖尿病或肥胖是否诱发某些类型的高脂血症。我们使用孟德尔随机分析来探讨糖尿病和肥胖与血脂谱的因果关系。
设计、设置和主要成果措施
2014 年至 2016 年间，华东地区的 23 个研究中心招募了 9798 名参与者。我们计算了两个加权遗传风险评分作为 2 型糖尿病和体重指数 (BMI) 的工具变量。这些分数用于衡量糖尿病和 BMI 与血脂谱的因果关系，血脂谱包括总胆固醇、高密度脂蛋白胆固醇 (HDL-C)、低密度脂蛋白胆固醇 (LDL-C) 和甘油三酯 (TG)。
结果
遗传性糖尿病的总胆固醇、LDL-C 和 log10TG 的因果回归系数 (βIV) 为 0.130 [95% 置信区间 (CI): 0.020, 0.240； P = 0.014]、0.125（96% CI：0.041、0.209；P = 0.001）和 0.019（95% CI：-0.001、0.039；P = 0.055）。 HDL-C 的 βIV 为 -0.008（95% CI：-0.032.0.016），不显着（P = 0.699）。由基因决定的 HDL-C 和 log10TG BMI 增加 10 kg/m2 的因果回归系数分别为 -0.409 (96% CI: -0.698, -0.120; P = 0.004) 和 0.227 (95% CI: 0.039, 0.415; P = 0.026)。 TG 和 LDL-C 的 βIV 不显着。
结论
这项研究使用孟德尔随机化分析，为 BMI 对血脂谱不同元素的糖尿病和肥胖症的生物学因果影响提供了证据。
Context
Type 2 diabetes and obesity often coexist, so it is difficult to judge whether diabetes or obesity induce certain types of hyperlipidemia due to mutual confounds and reverse causation. We used Mendelian randomization analyses to explore the causal relationships of diabetes and adiposity with lipid profiles.
Design, Setting, and Main Outcome Measures
From 23 sites in East China, 9798 participants were enrolled during 2014 to 2016. We calculated two weighted genetic risk scores as instrumental variables for type 2 diabetes and body mass index (BMI). These scores were used to measure the causal relationships of diabetes and BMI with lipid profiles that included total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TGs).
Results
The causal regression coefficients (βIV) of genetically determined diabetes for the total cholesterol, LDL-C, and log10TG were 0.130 [95% confidence interval (CI): 0.020, 0.240; P = 0.014], 0.125 (96% CI: 0.041, 0.209; P = 0.001), and 0.019 (95% CI: -0.001, 0.039; P = 0.055), respectively. The βIV for HDL-C was -0.008 (95% CI: -0.032. 0.016), which was not significant (P = 0.699). The causal regression coefficients of a genetically determined 10 kg/m2 increase in BMI for HDL-C and log10TG were -0.409 (96% CI: -0.698, -0.120; P = 0.004) and 0.227 (95% CI: 0.039, 0.415; P = 0.026), respectively. The βIVs for TGs and LDL-C were not significant.
Conclusions
This study has provided evidence for the biologically plausible causal effects of diabetes and adiposity by BMI on different elements of the lipid profile using Mendelian randomization analyses.
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影响因子：
37.8
作者：
Jensen MD;Ryan DH;Apovian CM;Ard JD;Comuzzie AG;Donato KA;Hu FB;Hubbard VS;Jakicic JM;Kushner RF;Loria CM;Millen BE;Nonas CA;Pi-Sunyer FX;Stevens J;Stevens VJ;Wadden TA;Wolfe BM;Yanovski SZ;Jordan HS;Kendall KA;Lux LJ;Mentor-Marcel R;Morgan LC;Trisolini MG;Wnek J;Anderson JL;Halperin JL;Albert NM;Bozkurt B;Brindis RG;Curtis LH;DeMets D;Hochman JS;Kovacs RJ;Ohman EM;Pressler SJ;Sellke FW;Shen WK;Smith SC Jr;Tomaselli GF;American College of Cardiology/American Heart Association Task Force on Practice Guidelines;Obesity Society
通讯作者：
Obesity Society
DOI：
10.1161/circoutcomes.109.910711
发表时间：
2010-05
期刊：
Circulation. Cardiovascular quality and outcomes
影响因子：
--
作者：
Moran A;Gu D;Zhao D;Coxson P;Wang YC;Chen CS;Liu J;Cheng J;Bibbins-Domingo K;Shen YM;He J;Goldman L
通讯作者：
Goldman L
DOI：
10.1016/s0084-3954(09)79502-8
发表时间：
2010
期刊：
Yearbook of Pediatrics
影响因子：
--
作者：
J. Stockman
通讯作者：
J. Stockman
DOI：
10.1002/9780470514962.ch6
发表时间：
1996
期刊：
Ciba Foundation symposium
影响因子：
--
作者：
A. G. Shaper
通讯作者：
A. G. Shaper
影响因子：
3.2
作者：
Kato N
通讯作者：
Kato N