IL-22 mRNA expression in blood samples as a useful biomarker for assessing the adverse health effects of PCBs on allergic children.
IL-22 mRNA expression in blood samples as a useful biomarker for assessing the adverse health effects of PCBs on allergic children.
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DOI：
10.3390/ijerph9124321
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发表时间：
2012-12
影响因子：
--
通讯作者：
Matsumura F
中科院分区：
文献类型：
--
作者：
Tsuji M;Kawamoto T;Koriyama C;Matsumura F
为了便于评估极低浓度的空气污染物对一般人群的不利影响，我们计划建立一个可靠的生物标志物，该生物标志物也可用于识别脆弱人群。为此目的，我们监测了来自2岁日本儿童（N = 30）的血液样品中的几种炎症标志物，并发现生活在主要高速公路附近（<50 m）的那些儿童在其血液样品中显示出比生活在更远（+50 m）的那些儿童更高的mRNA表达IL-22水平。这种趋势在对鸡蛋和牛奶显示阳性IgE的受试者中更为明显。我们进一步研究了IL-22 mRNA表达与PCB残留之间的关联，发现每个PCB同系物与IL-22表达之间存在许多显著的正相关性。为了确定这些儿童中最脆弱的人群，我们选择哮喘作为典型的过敏相关疾病，并且可以显示IgE阴性的非哮喘受试者与对鸡蛋或牛奶显示IgE阳性反应的哮喘儿童之间的IL-22 mRNA表达水平存在显著差异。这些观察结果支持了我们的主要结论，即IL-22表达是一种敏感的生物标志物，可用于识别特别易受空气污染影响的儿童亚群。
To facilitate the assessment of adverse effects of very low concentrations of air pollutants on general populations, we planned to establish a reliable biomarker that is also useful in identifying vulnerable populations. For this purpose we monitored several inflammation markers in blood samples from 2 year old Japanese children (N = 30), and found that those children living close to major highways (<50 m) show higher levels of mRNA expression IL-22 in their blood samples than those living further away (+50 m). This tendency was more pronounced among subjects showing positive IgE against egg and milk. We further examined association between IL-22 mRNA expression and PCB residues and found a number of significant positive correlations between each individual PCB congener and IL-22 expression. To identify the most vulnerable population among those children we selected asthma as a typical allergy-related disease, and could show that there are significant differences in the levels of IL-22 mRNA expression between IgE negative non-asthmatic subject and asthmatic children showing positive IgE reaction toward egg or milk, again. These observations support our main conclusion that IL-22 expression is a sensitive biomarker which is useful in identifying sub-populations of children who are especially vulnerable to air pollution.
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