Department of Community and Family Medicine, Prevention Research Division, Duke University Medical Center, Box 2949, Durham, NC, 27710, USA,
Diabetologia. 2010 May;53(5):866-74. doi: 10.1007/s00125-010-1657-4. Epub 2010 Feb 9.
AIMS/HYPOTHESIS: Elevated fasting NEFAs are thought to promote type 2 diabetes. Three prospective studies support this concept, showing increased diabetes risk associated with fasting NEFA. However, these prospective associations may be confounded by strong cross-sectional correlations between fasting NEFA and metabolic predictors of diabetes. To examine this assumption, we used cohort data from the Insulin Resistance Atherosclerosis Study (IRAS).
Within the IRAS cohort (n = 902, 145 incident cases), we examined nine metabolic variables for their confounding effect on the fasting NEFA-diabetes association: 2 h glucose; fasting plasma glucose; body mass index; waist circumference; waist-to-hip ratio; weight; insulin sensitivity (S (I)); fasting insulin; and acute insulin response. We compared odds ratios for fasting NEFA (log( e ) transformed and adjusted for age, sex, ethnicity and clinic) before and after inclusion of each metabolic variable into a logistic regression model.
Three variables (2 h glucose, BMI and S (I)) cross-sectionally correlated with fasting NEFA (r > or = 0.1, p < 0.05). Unadjusted for metabolic predictors, fasting NEFA levels were positively associated with diabetes risk: OR 1.37 (95% CI 0.87-2.15) per unit on a log scale. All metabolic variables except AIR showed confounding. Inclusion of 2 h glucose reversed the positive association (OR 0.50 [95% CI 0.30-0.82]), whereas other predictors reduced the association to the null. The final model included the variables correlated with baseline fasting NEFA (2 h glucose, BMI and S (I)) and the demographic variables resulting in OR 0.47 (95% CI 0.27-0.81).
CONCLUSIONS/INTERPRETATION: Our results indicate that 2 h glucose strongly confounds the prospective association between fasting NEFA and diabetes; carefully adjusted fasting NEFA levels are inversely associated with diabetes risk.
目的/假设:空腹游离脂肪酸升高被认为会促进 2 型糖尿病的发生。三项前瞻性研究支持这一观点,表明空腹游离脂肪酸与糖尿病风险增加相关。然而,这些前瞻性关联可能因空腹游离脂肪酸与糖尿病代谢预测因素之间存在强烈的横断面相关性而受到混淆。为了检验这一假设,我们使用了胰岛素抵抗动脉粥样硬化研究(IRAS)的队列数据。
在 IRAS 队列中(n=902,145 例新发病例),我们检查了 9 种代谢变量对空腹游离脂肪酸与糖尿病关联的混杂效应:2 小时血糖;空腹血浆葡萄糖;体重指数;腰围;腰臀比;体重;胰岛素敏感性(S(I));空腹胰岛素;和急性胰岛素反应。我们比较了在将每个代谢变量纳入逻辑回归模型之前和之后,空腹游离脂肪酸(对数转换并按年龄、性别、种族和诊所调整)的比值比。
有三个变量(2 小时血糖、BMI 和 S(I))与空腹游离脂肪酸呈横断面相关(r≥0.1,p<0.05)。在未调整代谢预测因素的情况下,空腹游离脂肪酸水平与糖尿病风险呈正相关:对数尺度上每单位增加 1.37(95%可信区间 0.87-2.15)。除 AIR 外,所有代谢变量均显示混杂作用。纳入 2 小时血糖后,正相关被逆转(OR 0.50[95%可信区间 0.30-0.82]),而其他预测因素则使关联降至零。最终模型纳入了与基线空腹游离脂肪酸相关的变量(2 小时血糖、BMI 和 S(I))和导致 OR 0.47(95%可信区间 0.27-0.81)的人口统计学变量。
结论/解释:我们的结果表明,2 小时血糖强烈混杂了空腹游离脂肪酸与糖尿病之间的前瞻性关联;经过仔细调整的空腹游离脂肪酸水平与糖尿病风险呈负相关。