Airborne microbial communities in the atmospheric environment of urban hospitals in China

Gao, X. L.; Shao, Mingfei; Wang, Qing; Wang, Litao; Fang, Wu; Ouyang, Feng; Li, Ji

doi:10.1016/j.jhazmat.2018.01.043

Cited by 88 publications

(34 citation statements)

References 44 publications

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“…Gao et al [58] characterized the microbial community in five nosocomial bioaerosols. Similar to our results, they found that Proteobacteria represented the most prevalent microbes at almost 45% representation.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Antibiotic Resistance Genes in Air-Conditioning Systems in Hospitals, Farms, and Residences

Liao

Yao

2019

IJERPH

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High-throughput quantitative PCR combined with Illumina sequencing and network analysis were used to characterize the antibiotic resistance gene (ARG) profiles in air-conditioning filters from different environments. In total, 177 ARGs comprising 10 ARG types were determined. The detectable numbers and the relative abundance of ARGs in hospitals and farms were significantly higher than those in city and village residences. Compared to hospitals, farms had a higher level of tetracycline, multidrug, integrase, and macrolide–lincosamide–streptogramin (MLS) B resistance genes but a lower level of beta-lactam resistance genes. The bl3_cpha gene was the most abundant resistance gene subtype in hospital samples with an abundance of 2.01 × 10−4 copies/16S rRNA, while a level of only 5.08 × 10−12 copies/16S rRNA was observed in farm samples. There was no significant difference in bacterial diversity among the hospitals, farms, and residences, and Proteobacteria was the most abundant phylum. Network analysis revealed that Proteobacteria and Actinobacteria were possible hosts of the beta-lactam, MLSB, aminoglycoside, multidrug, sulfonamide, and tetracycline resistance genes. The results demonstrate that ARGs exist in indoor environments and that farms and hospitals are important sources. This study provides a useful reference for understanding the distribution patterns and risk management of ARGs in indoor environments.

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Section: Discussionmentioning

confidence: 99%

Prevalence of Antibiotic Resistance Genes in Air-Conditioning Systems in Hospitals, Farms, and Residences

Liao

Yao

2019

IJERPH

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“…The environmental health scholars considered that the toxic effect of PM 2.5 on the respiratory tract and lungs mainly induced by the suspension and reaction of gases, heavy metals, mineral element, and toxic organic matters (cancerogenic substance) in ambient air 5,6 . In addition to these components, there is increasing evidence that pathogenic and allergenic microorganisms (bacteria, eukaryotes, archaea, and viruses) attached to the particles, may deposit in the epithelial cells through respiration, and thus causing various ailments in humans and livestock [7][8][9][10] . The pathogenic species (e.g.…”

Section: Introductionmentioning

confidence: 99%

Profile of inhalable bacteria in PM2.5 at Mt. Tai, China: Abundance, community, and influence of air mass trajectories

Wei

Chen

et al. 2019

Ecotoxicology and Environmental Safety

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Highlights 1. PM 2.5 samples exhibited a high microbial biodiversity and complex chemical composition 2. Relationships between bacterial populations and PM composition were investigated. 3. The highest bacterial concentration and more potential pathogens were recorded under the influence of local air pollutants. 4. The long-range transported air mass exhibited highest richness and diversity with an increased abundance of dust-borne bacteria.

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“…Prior studies either applied amplicon sequencing to identify aerosolized microbial communities [8] or used PCR based methods to profile resistome [59] . Some studies applied metagenomic approaches on aerosolized microbial communities in hospitals, but they did not connect ARGs with specific carriers [60] , [61] . In this study, we integrated a state-of-the-art metagenomic method to link ARGs to specific bacteria and we also confirmed the ARG transfer using cultural isolate whole genome Nanopore sequencing.…”

Section: Resultsmentioning

confidence: 99%

A metagenomic-based method to study hospital air dust resistome

Dang

et al. 2021

Chemical Engineering Journal

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Airborne microbial communities in the atmospheric environment of urban hospitals in China

Cited by 88 publications

References 44 publications

Prevalence of Antibiotic Resistance Genes in Air-Conditioning Systems in Hospitals, Farms, and Residences

Prevalence of Antibiotic Resistance Genes in Air-Conditioning Systems in Hospitals, Farms, and Residences

Profile of inhalable bacteria in PM2.5 at Mt. Tai, China: Abundance, community, and influence of air mass trajectories

A metagenomic-based method to study hospital air dust resistome

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