Bacteria and associated antibiotic resistance in air filter-derived biological material from utility vehicles at mechanical-biological treatment plants.

IF 2 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Anna Kozajda, Emilia Miśkiewicz, Jan Gawor, Robert Gromadka
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引用次数: 0

Abstract

Objectives: The study objective was to assess occupational exposure to bacteria and antimicrobial resistance genes (ARGs) present on air filters of utility vehicles used in the working environment of mechanical-biological treatment (MBT) facilities, in the context of workers health risks.

Material and methods: The study was conducted in summer 2024 in 9 air filters from utility vehicles used in MBT plants in Poland. External filters were removed from the vehicle's ventilation system, packed and shipped according to instructions. From the duplicate filters samples DNA was isolated and high-throughput next-generation sequencing (NGS) was carried out. Bioinformatic data analysis was conducted to detect bacteria and ARGs in air filters' surfaces.

Results: Totally, 34 bacterial taxa were detected in relative abundance ≥0.5%. The genera most frequently present at the highest relative abundances: Saccharomonospora, Thermobifida, Nocardiopsis, Pectobacterium, Aerococcus, Thermoactinomyces, Novibacillus and Streptomyces. Across all bacteria isolated from the analyzed filters, regardless of their relative abundance, a total of 91 taxa were classified into risk groups 2 or 3 (86 and 5 taxa, respectively). The most frequently detected ARGs were those encoding resistance to a single class of antibiotics (AAC(3)-VIIa, aadA2, ANT(6)-Ia, APH(3'')-Ia, APH(3'')-Ib, APH(6)-Id, cml, cmx, lnuA, lnuD, novA, parY, sul2, vanHF, vanJ, vanRA, vanRI, vanRO - each at least on 4 air filters). Antimicrobial resistance genes encoding multi antibiotic resistance were also detected: CRP, emtA, erm(34), erm(36), ermA, ermC, ermF, ermG, ermT, ermX, ernB, H-NS, mel, msrA, msrE, mtrA, optrA, ramA, ykkD - each at least on 1 air filter.

Conclusions: Despite the limited number of analyzed filters, the study demonstrated a high bacterial species diversity in the MBT plant environment. The MBT workers are exposed to bacteria with high pathogenic potential and to ARGs encoding resistance to antibiotics used exclusively in human medicine, used in human and veterinary medicine, and not intended for human use. Int J Occup Med Environ Health. 2026;39(2):179-201.

机械生物处理厂多用途车辆产生的空气过滤器生物材料中的细菌和相关抗生素耐药性。
目的:本研究的目的是评估在机械-生物处理(MBT)设施工作环境中使用的多用途车辆的空气过滤器上存在的细菌和抗微生物药物耐药性基因(ARGs)的职业暴露情况,以及工人健康风险。材料和方法:该研究于2024年夏季在波兰MBT工厂使用的多用途车辆的9个空气过滤器中进行。车辆通风系统的外部过滤器已拆除,按照说明包装和运输。从重复过滤样品中分离DNA并进行高通量下一代测序(NGS)。采用生物信息学方法对空气过滤器表面细菌和ARGs进行检测。结果:共检出34个细菌类群,相对丰度≥0.5%。最常见且相对丰度最高的属:Saccharomonospora、Thermobifida、Nocardiopsis、Pectobacterium、Aerococcus、thermo放线菌、Novibacillus和Streptomyces。从分析的过滤器中分离出的所有细菌,无论其相对丰度如何,共有91个分类群被划分为风险组2或3(分别为86个和5个分类群)。最常检出的ARGs是编码单类抗生素耐药的ARGs (AAC(3)- viia、aadA2、ANT(6)- ia、APH(3”)- ia、APH(3”)- ib、APH(6)- id、cml、cmx、lnuA、lnuD、novA、parY、sul2、vanHF、vanJ、vanRA、vanRI、vanRO -每种至少在4个空气过滤器上)。同时检测到编码多重抗生素耐药的耐药基因:CRP、emtA、erm(34)、erm(36)、ermA、ermC、ermF、ermG、ermT、ermX、ernB、H-NS、mel、msrA、msrE、mtrA、optrA、ramA、ykkD,每一个基因至少在1个空气过滤器上检测到。结论:尽管分析的过滤器数量有限,但研究表明MBT植物环境中细菌物种多样性很高。MBT工作人员暴露于具有高致病性潜力的细菌和编码对仅用于人用药、用于人用药和兽药且不打算用于人用药的抗生素具有耐药性的ARGs。中华医学杂志,2009;39(2)。
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来源期刊
CiteScore
3.40
自引率
5.00%
发文量
52
审稿时长
7.5 months
期刊介绍: The Journal is dedicated to present the contemporary research in occupational and environmental health from all over the world. It publishes works concerning: occupational and environmental: medicine, epidemiology, hygiene and toxicology; work physiology and ergonomics, musculoskeletal problems; psychosocial factors at work, work-related mental problems, aging, work ability and return to work; working hours, shift work; reproductive factors and endocrine disruptors; radiation, ionizing and non-ionizing health effects; agricultural hazards; work safety and injury and occupational health service; climate change and its effects on health; omics, genetics and epigenetics in occupational and environmental health; health effects of exposure to nanoparticles and nanotechnology products; human biomarkers in occupational and environmental health, intervention studies, clinical sciences’ achievements with potential to improve occupational and environmental health.
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