Hansen Karoline Kærgaard, Rasmussen Pil, Schlünssen Vivi, Broberg Karin, Østergaard Kirsten, Tranchant Emma Enshelm, Sigsgaard Torben, Kolstad Henrik A, Madsen Anne Mette
Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Aarhus, Denmark
Department of Public Health, Research Unit for Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark.
Occup Environ Med. 2024 Dec 22;81(11):580-587. doi: 10.1136/oemed-2024-109628.
This study aims to investigate (1) the microbial community composition by work characteristics and (2) the association between microbial genera level and inflammatory markers among recycling workers.
In this cross-sectional study, inhalable dust was collected with personal samplers from 49 production (86 samples) and 10 administrative workers (15 samples). Four groups of micro-organisms were identified down to species-level (aerobic and anaerobic bacteria, and fungi grown at 25°C and 37°C). Inflammatory markers were measured in serum collected at the end of the work shift. Microbial community composition was investigated using redundancy analysis and heatmaps. Associations between the most prevalent microbial genera and inflammatory markers were explored by mixed-effects regression.
Community composition of all groups of micro-organisms except fungi (37°C) differed between production and administrative workers and by type of waste and season among the production workers. Overall, , , and were the most prevalent genera. CC16 concentrations increased with genus level, C reactive protein and serum amyloid A with , interleukin 2 (IL-2) and tumour necrosis factor with , and IL-8 with . IL-1B decreased with genus level. Remaining analyses showed no statistically significant associations between microbial genera level and inflammatory markers.
Recycling workers are exposed to different compositions of microbial species than administrative workers depending on the type of waste handled and season. Specific systemic inflammatory effects were suggested for a limited number of microbial genera that need to be corroborated by future studies.
本研究旨在调查(1)按工作特征划分的微生物群落组成,以及(2)回收工人中微生物属水平与炎症标志物之间的关联。
在这项横断面研究中,使用个人采样器从49名生产工人(86个样本)和10名行政人员(15个样本)中采集可吸入粉尘。将微生物分为四组,鉴定到种水平(需氧菌、厌氧菌以及在25°C和37°C下生长的真菌)。在工作班次结束时采集的血清中测量炎症标志物。使用冗余分析和热图研究微生物群落组成。通过混合效应回归探索最常见的微生物属与炎症标志物之间的关联。
除真菌(37°C)外,所有微生物组的群落组成在生产工人和行政人员之间存在差异,并且在生产工人中因废物类型和季节而异。总体而言, 、 、 和 是最常见的属。CC16浓度随 属水平升高,C反应蛋白和血清淀粉样蛋白A随 升高,白细胞介素2(IL-2)和肿瘤坏死因子随 升高,IL-8随 升高。IL-1B随 属水平降低。其余分析表明微生物属水平与炎症标志物之间无统计学显著关联。
根据所处理废物的类型和季节,回收工人接触的微生物种类组成与行政人员不同。对于少数微生物属提出了特定的全身炎症效应,这需要未来的研究加以证实。