Department of Occupational and Environmental Health, Hangkong Road 13, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China.
Department of Occupational and Environmental Health, Hangkong Road 13, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China.
Environ Pollut. 2019 Feb;245:183-198. doi: 10.1016/j.envpol.2018.10.127. Epub 2018 Nov 1.
The relations of polycyclic aromatic hydrocarbons (PAHs) exposure with platelet indices remain unclear. Based on the baseline data from the Wuhan-Zhuhai Cohort Study, we used generalized linear model, multivariate logistic regression analysis and restricted cubic splines (RCS) to assess linear and nonlinear relationship of PAHs exposure with platelet indices. The results showed that among Wuhan individuals, there were the non-linear relations between total hydroxynaphthalene (ΣOHNa) and mean platelet volume (MPV) or ratio of mean platelet volume to platelet count (MPVP), total hydrophenanthrene (ΣOHPh) and MPV or platelet distribution width (PDW), the sum concentration of urinary monohydroxylated metabolites of PAHs (ΣOH-PAHs) and ratio of platelet count to lymphocyte count (PLR) or MPVP, 1-hydropyrene (1-OHP) and PLR or PDW. But among Zhuhai individuals, neither linear nor non-linear relations were found between each of OH-PAHs or ΣOH-PAHs and platelet indices. The findings indicate that serum MPV and MPVP may be independent biomarkers of effects of exposing to environmental PAHs on human bodies.
多环芳烃 (PAHs) 暴露与血小板指数之间的关系尚不清楚。基于武汉-珠海队列研究的基线数据,我们使用广义线性模型、多变量逻辑回归分析和限制立方样条 (RCS) 来评估 PAHs 暴露与血小板指数之间的线性和非线性关系。结果表明,在武汉人群中,总羟基萘(ΣOHNa)与平均血小板体积(MPV)或血小板计数与平均血小板体积比(MPVP)、总羟基菲(ΣOHPh)与 MPV 或血小板分布宽度(PDW)、尿中多环芳烃单羟基代谢物的总和浓度(ΣOH-PAHs)与血小板计数与淋巴细胞计数比(PLR)或 MPVP、1-羟基芘(1-OHP)与 PLR 或 PDW 之间存在非线性关系。但在珠海人群中,OH-PAHs 或 ΣOH-PAHs 与血小板指数之间均未发现线性或非线性关系。研究结果表明,血清 MPV 和 MPVP 可能是人体暴露于环境 PAHs 影响的独立生物标志物。