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PM10短期暴露对糖尿病发病相关生物标志物的影响

贺颖倩 靳亚飞 王敏珍 郑山 聂永红 白亚娜

贺颖倩,靳亚飞,王敏珍,郑山,聂永红,白亚娜. 2022. PM10短期暴露对糖尿病发病相关生物标志物的影响. 气象学报,80(3):1-8 doi: 10.11676/qxxb2022.036
引用本文: 贺颖倩,靳亚飞,王敏珍,郑山,聂永红,白亚娜. 2022. PM10短期暴露对糖尿病发病相关生物标志物的影响. 气象学报,80(3):1-8 doi: 10.11676/qxxb2022.036
He Yingqian, Jin Yafei, Wang Minzhen, Zheng Shan, Nie Yonghong, Bai Yana. 2022. Effects of short-term exposure to PM10 on biomarkers of diabetes. Acta Meteorologica Sinica, 80(3):1-8 doi: 10.11676/qxxb2022.036
Citation: He Yingqian, Jin Yafei, Wang Minzhen, Zheng Shan, Nie Yonghong, Bai Yana. 2022. Effects of short-term exposure to PM10 on biomarkers of diabetes. Acta Meteorologica Sinica, 80(3):1-8 doi: 10.11676/qxxb2022.036

PM10短期暴露对糖尿病发病相关生物标志物的影响

doi: 10.11676/qxxb2022.036
基金项目: 国家自然科学基金资助项目(41705122、41505095)
详细信息
    作者简介:

    贺颖倩,主要从事环境流行病学研究。E-mail:3531456493@qq.com

    通讯作者:

    王敏珍,主要从事环境流行病学和慢性病流行病学研究。E-mail:wangmzh@lzu.edu.cn

  • 中图分类号: P49R122.7

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

  • 摘要: 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)、胰岛素功能指标(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%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%);累计滞后0—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。

     

  • 图 1  金昌市4个环境污染物监测站点和研究对象家庭住址地理分布

    Figure 1.  Geographical distribution of 4 environmental pollutants monitoring stations and the residential addresses of research subjects in Jinchang city

    表  1  不同糖代谢水平人群的基本特征

    Table  1.   General characteristics of population with different blood glucose levels

    变量血糖正常(n(%))糖尿病前期(n(%))糖尿病(n(%))P
    性别<0.001
     男性90(64.29%)120(85.71%)116(82.86%)
     女性50(35.71%)20(14.29%)24(17.14%)
    年龄(岁)<0.001
     <60124(88.57%)118(84.29%)95(67.86%)
     ≥6016(11.43%)22(15.71%)45(32.14%)
    BMI(kg/m2<0.001
     <24.085(60.72%)67(47.86%)48(34.29%)
     24.0−27.947(33.57%)52(37.14%)65(46.43%)
     ≥28.08(5.71%)21(15.00%)27(19.28%)
    家庭人均月收入(元)0.974
     <200079(56.43%)80(57.15%)79(56.43%)
     2000−499960(42.86%)59(42.14%)59(42.14%)
     ≥50001(0.71%)1(0.71%)2(1.43%)
    文化水平0.015
     初中及以下50(35.71%)52(37.14%)73(52.14%)
     高中/中专49(35.00%)57(40.71%)36(25.71%)
     本科及以上41(29.29%)31(22.15%)31(22.15%)
    吸烟0.392
     否68(48.57%)60(42.86%)57(40.71%)
     是72(51.43%)80(57.14%)83(59.29%)
    饮酒0.004
     否110(78.57%)85(60.71%)92(65.71%)
     是30(21.43%)55(39.29%)48(34.29%)
    高血压<0.001
     否107(76.43%)75(53.57%)68(48.57%)
     是33(23.57%)65(46.43%)72(51.43%)
    糖尿病家族史0.028
     否118(84.29%)120(85.71%)104(74.29%)
     是22(15.71%)20(14.29%)36(25.71%)
    下载: 导出CSV

    表  2  不同糖代谢状态人群的生物标志物水平

    Table  2.   Biomarker levels of population with different blood glucose states

    生物标志物血糖正常($ \bar{x} $±s糖尿病前期($ \bar{x} $±s糖尿病($ \bar{x} $±sP
    IL-6(ng/L)43.57±15.5552.18±13.8843.18±13.42<0.001
    VCAM-1(μg/L)821.21±527.991058.44±410.16720.89±403.09<0.001
    8-iso-PGF2α(pg/L)4667.89±1496.674608.17±1872.763131.12±1965.84<0.001
    INS(mIU/L)32.53±14.5640.64±12.0725.79±13.27<0.001
    HOMA-IR7.08±3.2010.76±3.3410.43±6.67<0.001
    下载: 导出CSV

    表  3  2009—2013年金昌市主要空气污染物与气象要素分布特征

    Table  3.   Distribution characteristics of air pollutants and meteorological factors in Jinchang city from 2009 to 2013

    变 量$ \bar{x} $Min25%分位数50%分位数75%分位数MaxIQR
    PM10(μg/m392.2917.0059.0076.00100.001102.0041.00
    SO2(μg/m365.553.0040.0057.0081.00290.0041.00
    NO2(μg/m324.414.0018.0024.0029.0070.0011.00
    平均气温(℃)9.54−19.00−0.7010.9519.7032.0020.40
    相对湿度(%)40.877.0027.0038.0052.0098.0025.00
    注:IQR:四分位数间距。
    下载: 导出CSV

    表  4  PM10浓度每升高10 μg/m3与生物标志物变化的关系

    Table  4.   Association between per 10 μg/m3 increment in PM10 concentration and biomarkers

    滞后期IL-6 [%(95%CI)]VCAM-1 [%(95%CI)]
    血糖正常糖尿病前期糖尿病血糖正常糖尿病前期糖尿病
    Lag00.46(−0.51—1.43)0.72(−0.31—1.48)0.02(−0.97—1.01)0.23(−1.38—1.84)1.16(0.43—2.28)*1.03(−2.27—4.32)
    Lag10.06(−0.54—0.65)0.03(−0.80—0.86)−0.71(−1.88—0.46)−0.02(0.85—0.96)1.05(−0.14—2.25)1.86(−2.15—5.88)
    Lag2−0.58(−1.67—0.51)−0.03(−0.67—0.61)−0.16(−1.58—1.26)−0.16(−1.97—1.65)0.37(−0.55—1.30)2.14(−2.38—6.67)
    Lag3−0.11(−1.33—1.12)0.34(−0.36—1.05)1.68(−0.46—3.82)1.15(−0.82—3.13)0.81(−0.19—1.82)3.45(−3.55—10.46)
    Lag40.08(−0.45—0.61)0.09(−0.33—0.52)−0.88(−2.43—0.66)0.47(−0.42—1.36)0.25(−0.35—0.84)3.38(−1.65—8.40)
    Lag50.20(−0.92—1.32)0.27(−0.07—0.62)1.35(0.31—2.38)*0.55(−1.32—2.43)0.54(0.05—1.03)*0.14(−3.13—3.41)
    Lag60.36(−0.32—1.04)0.45(0.19—0.88)*1.52(0.51—2.53)*−0.26(−1.40—0.88)0.55(−0.09—1.18)0.82(2.64—4.28)
    Lag7−0.14(−0.83—0.54)−0.19(−0.67—0.30)−0.26(−1.15—0.64)0.61(−0.49—1.71)−0.01(−0.75—0.73)2.26(−0.70—5.21)
    Lag07−0.49(−2.35—1.41)0.63(−0.29—1.55)−2.53(−5.14—0.16)0.21(−2.93—3.44)1.32(−0.01—2.65)6.28(−2.66—16.04)
    下载: 导出CSV
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  • 收稿日期:  2021-12-29
  • 修回日期:  2022-03-24
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