PM10短期暴露对糖尿病发病相关生物标志物的影响

为探讨PM₁₀对糖尿病发病相关生物标志物的效应，以“金昌队列”为平台，采用随机抽样方法在基线人群中选择2型糖尿病、糖尿病前期和血糖正常组共420人，用近邻模型完成个体PM₁₀暴露评估。运用酶联免疫吸附法对炎症反应指标（IL-6、VCAM-1）、氧化损伤指标（8-iso-PGF2α）、胰岛功能指标（INS）进行检测，运用多重线性回归模型从以上3方面评价PM₁₀的效应。结果显示:糖尿病前期人群中，滞后6 d时PM₁₀浓度每升高10 μg/m3，IL-6升高0.45%（95%置信区间（95%CI）:0.19%—0.88%），当天的PM₁₀与VCAM-1关联最明显（增幅:1.16%（95%CI:0.43%—2.28%））；糖尿病人群中，滞后6 d时PM₁₀与IL-6的关联最显著（增幅:1.52%，（95%CI:0.51%—2.53%）），滞后3 d时8-iso-PGF2α升高2.01%（95%CI:0.29%—3.73%）；累积滞后7 d时PM₁₀与HOMA-β关联最明显（降幅:4.63%（95%CI:?8.00%—?1.13%））。文中结果表明大气PM₁₀短期暴露可导致人群出现不同程度的炎症反应、氧化损伤及胰岛β细胞功能障碍。 

Effects of short-term exposure to PM10 on biomarkers of diabetes

This study explores the effects of short-term exposure to PM₁₀ on related biomarkers of diabetes. Based on the platform of "Jinchang Cohort", a total of 420 patients with type 2 diabetes, pre-diabetes and normal blood glucose are randomly selected. The nearest neighbor model is used to estimate individual exposure levels. IL-6, VCAM-1, 8-iso-PGF2α and INS are detected by ELISA. A multiple linear regression model is conducted to evaluate the effects of PM₁₀ on the biomarkers. For every 10 μg/m3 increase in PM₁₀ concentration, it is found that IL-6 increases by 0.45% (95%CI: 0.19%—0.88%) at lag 6 d, and PM₁₀ is most significantly associated with VCAM-1 at lag 0 d (increase: 1.16%, 95%CI: (0.43%—2.28%)) in the prediabetic group. PM₁₀ is most significantly associated with IL-6 (increase: 1.52%, (95%CI: 0.51%—2.53%)) at lag 6 d, while 8-iso-PGF2α increases by 2.01% (95%CI: 0.29%—3.73%) at lag 3 d, and the relationship between PM₁₀ and HOMA-β is most significant at lag 0—7 d (decrease: 4.63%, (95%CI: ?8.00%—?1.13%)) for type 2 diabetes patients. Short-term exposure to PM₁₀ can lead to inflammation, oxidative damage and islet β cell dysfunction.