Institute of Environmental Science. University of Castilla-La Mancha. 45071, Toledo, Spain; Department of Chemical and Environmental Engineering. Polytechnic University of Cartagena. 30202, Cartagena, Spain.
Department of Pharmacology, Pharmacognosy and Botany. Complutense University. 28040, Madrid, Spain.
Sci Total Environ. 2023 Feb 1;858(Pt 2):159630. doi: 10.1016/j.scitotenv.2022.159630. Epub 2022 Oct 22.
Over one quarter of the population in industrialised countries suffers from some type of allergy and inhaled aeroallergens from pollen are the primary cause of allergic ailments. The networks for monitoring biological air quality measure the airborne pollen concentrations that characterize periods of exposure to major airborne aeroallergens but there are certain discrepancies in relation to the allergen-pollen dynamic. In this paper we analyse the airborne allergens Ole e 1, Phl p 1, Phl p 5 and Pla a 1, and interpreted the adjustments and mismatches in their concentrations in relation to airborne pollen. The influence of main environmental patterns was considered. The study was conducted in two urban areas of the centre and southwest of the Iberian Peninsula (Toledo in Spain and Évora in Portugal). Monitoring for pollen followed the standard protocol using Hirst volumetric spore traps and allergenic particles were quantified by ELISA assay. The results indicate that the discrepancies in this relationship were affected by the weather conditions up to 6 days prior. Precipitation and humidity above normal values caused a higher concentration of the allergen Pla a 1. This effect occurred in reverse in the case of humidity for the allergens Ole e 1 and Phl p 1. Humidity and precipitation generated the same pattern in the allergen-pollen relationship in both Phl p 1 and Phl p 5. Our findings show consistent results that allow to interpret the rate of discrepancy between allergen and pollen, and it can be used to improve allergy risk prediction models generated from atmospheric pollen.
超过四分之一的工业化国家的人口患有某种类型的过敏症,吸入花粉等空气过敏原是过敏症的主要原因。监测生物空气质量的网络会测量空气中花粉的浓度,这些浓度可以反映出暴露在主要空气过敏原下的时间段,但在过敏原-花粉动态方面存在一定的差异。在本文中,我们分析了空气中的过敏原 Ole e 1、Phl p 1、Phl p 5 和 Pla a 1,并解释了它们的浓度在与空气中花粉的关系中存在的调整和不匹配情况。还考虑了主要环境模式的影响。该研究在伊比利亚半岛中心和西南部的两个城市地区(西班牙的托莱多和葡萄牙的埃武拉)进行。花粉监测按照使用 Hirst 容量孢子陷阱的标准协议进行,过敏原颗粒通过 ELISA 测定法进行定量。结果表明,这种关系中的差异受 6 天前的天气条件影响。高于正常水平的降水和湿度会导致过敏原 Pla a 1 浓度升高。对于过敏原 Ole e 1 和 Phl p 1,湿度则会产生相反的效果。湿度和降水在 Phl p 1 和 Phl p 5 的过敏原-花粉关系中产生了相同的模式。我们的研究结果表明存在一致的结果,这些结果允许解释过敏原和花粉之间的差异率,并且可以用于改进基于大气花粉的过敏风险预测模型。