关键词: Air pollution Cross-sectional study Inflammation Neutrophil-lymphocyte ratio

Mesh : Humans Cross-Sectional Studies Male Female Middle Aged Biomarkers / blood Air Pollution / adverse effects analysis Rural Population / statistics & numerical data China / epidemiology Inflammation / blood Environmental Exposure / adverse effects analysis Adult Particulate Matter / adverse effects analysis Air Pollutants / adverse effects analysis Leukocytes Aged C-Reactive Protein / analysis Leukocyte Count

来  源:   DOI:10.1186/s12889-024-19116-2   PDF(Pubmed)

Abstract:
Effects of short-term exposure to ambient air pollution on systemic immunological and inflammatory biomarkers in rural population have not been adequately characterized. From May to July 2021, 5816 participants in rural villages of northern Henan Province, China, participated in this cross-sectional study. Blood biomarkers of systemic inflammation were determined including peripheral white blood cells (WBC), eosinophils (EOS), basophils (BAS), monocytes (MON), lymphocytes (LYM), neutrophils (NEU), neutrophil-lymphocyte ratio (NLR), and serum high-sensitivity C-reactive protein (hs-CRP). The concentrations of ambient fine particulate matter (PM2.5), PM10, nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) were assessed up to 7 days prior to the blood draw. A generalized linear model was used to analyze the associations between air pollution exposure and the above-mentioned blood biomarkers. Significantly positive associations were revealed between PM2.5, CO and WBC; CO, O3 and LYM; PM2.5, PM10, SO2, CO and NEU; PM2.5, PM10, SO2, CO and NLR; PM2.5, PM10, SO2, NO2, CO, O3 and hs-CRP. Meanwhile, negative associations were found between SO2 and WBC; PM2.5, PM10, NO2, CO, or O3 and EOS; PM2.5, SO2, or CO and BAS; SO2, NO2 or O3 and MON; PM2.5, PM10, SO2, or NO2 and LYM. Moreover, men, individuals with normal body mass index (BMI), current smokers, and those older than 60 years were found vulnerable to air pollution effects. Taken together, short-term exposure to air pollution was associated with systemic inflammatory responses, providing insight into the potential mechanisms for air pollution-induced detrimental systemic effects in rural residents.
摘要:
短期暴露于环境空气污染对农村人口的全身免疫和炎症生物标志物的影响尚未得到充分表征。2021年5月至7月,河南省北部农村5816名参与者,中国,参加了这项横断面研究。全身炎症的血液生物标志物包括外周血白细胞(WBC),嗜酸性粒细胞(EOS),嗜碱性粒细胞(BAS),单核细胞(MON),淋巴细胞(LYM),中性粒细胞(NEU),中性粒细胞-淋巴细胞比率(NLR),和血清超敏C反应蛋白(hs-CRP)。环境细颗粒物(PM2.5)的浓度,PM10、二氧化氮(NO2)、一氧化碳(CO),和臭氧(O3)在抽血前7天进行评估。使用广义线性模型来分析空气污染暴露与上述血液生物标志物之间的关联。PM2.5、CO和WBC之间呈显著正相关;CO,O3和LYM;PM2.5,PM10,SO2,CO和NEU;PM2.5,PM10,SO2,CO和NLR;PM2.5,PM10,SO2,NO2,CO,O3和hs-CRP。同时,SO2与WBC呈负相关;PM2.5、PM10、NO2、CO、或O3和EOS;PM2.5,SO2或CO和BAS;SO2,NO2或O3和MON;PM2.5,PM10,SO2或NO2和LYM。此外,男人,具有正常体重指数(BMI)的个体,当前吸烟者,60岁以上的人容易受到空气污染的影响。一起来看,短期暴露于空气污染与全身炎症反应有关,深入了解空气污染对农村居民造成有害系统性影响的潜在机制。
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