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Zhang T, Liu M, Zhou D, Ma Z, Chen L, Wu D, Diao H, Wang W, Li D, Zhen Q. Environmental factors and particle size shape the community structure of airborne total and pathogenic bacteria in a university campus. Front Public Health 2024; 12:1371656. [PMID: 38651126 PMCID: PMC11033423 DOI: 10.3389/fpubh.2024.1371656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 03/26/2024] [Indexed: 04/25/2024] Open
Abstract
Given the dense population on university campuses, indoor and outdoor airborne bacterial contamination may lead to the rapid spread of diseases in a university environment. However, there are few studies of the characteristics of airborne and pathogenic bacterial communities in different sites on a university campus. In this study, we collected particulate matter samples from indoor and outdoor locations at a university in Bengbu City, Anhui Province, China, and analyzed the community characteristics of airborne and pathogenic bacteria using a high-throughput sequencing technique. The results showed that the composition of the dominant airborne and pathogenic bacterial communities was consistent among sites at the phylum and genus levels, with differences in their relative abundance. There were significant differences in the structure of the airborne and pathogenic bacterial communities between indoor and outdoor sites (p < 0.05). An analysis of similarities (ANOSIM) indicated that the structure of airborne bacterial communities in indoor sites was influenced by the room occupancy rate, ventilation conditions, and the extent of indoor furnishing (p < 0.05), while the structure of pathogenic bacterial communities was influenced by the number of individuals and spatial dimensions (p < 0.05). The impact of particle size on the structure of airborne and pathogenic bacterial communities was relatively minor. A total of 194 suspected pathogenic bacterial species were identified, accounting for 0.0001-1.3923% of the total airborne bacteria, all of which were conditional pathogens. Among them, Saccharopolyspora rectivirgula, Acinetobacter johnsonii, and Moraxella osloensis exhibited relatively high relative abundance, accounting for 24.40, 16.22, and 8.66% of the total pathogenic bacteria, respectively. Moreover, 18 emerging or re-emerging pathogenic bacterial species with significant implications for human health were identified, although their relative abundance was relatively low (0.5098%). The relative abundance of pathogenic bacteria in indoor environments was significantly higher than outdoors, with the laboratory and dormitory having the highest levels. The findings of this study provide valuable guidance for the prevention and control of airborne bacterial contamination and the associated health risks in both a campus environment and other public spaces with high occupancy rates.
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Affiliation(s)
- Tianer Zhang
- School of Public Health, Bengbu Medical University, Bengbu, China
- Xinchang Center for Disease Control and Prevention, Shaoxing, China
| | - Mengmeng Liu
- School of Public Health, Bengbu Medical University, Bengbu, China
- Quality Management Department, Fuyang Tumor Hospital, Fuyang, China
| | - Dalin Zhou
- School of Public Health, Bengbu Medical University, Bengbu, China
| | - Zhijing Ma
- School of Public Health, Bengbu Medical University, Bengbu, China
| | - Liu Chen
- School of Public Health, Bengbu Medical University, Bengbu, China
| | - Danchen Wu
- School of Public Health, Bengbu Medical University, Bengbu, China
| | - Haitao Diao
- School of Public Health, Bengbu Medical University, Bengbu, China
| | - Wanru Wang
- School of Public Health, Bengbu Medical University, Bengbu, China
| | - Die Li
- School of Public Health, Bengbu Medical University, Bengbu, China
| | - Quan Zhen
- School of Public Health, Bengbu Medical University, Bengbu, China
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Liu J, Wu F, Xiang T, Ma W, He D, Zhang Q, Wang W, Duan Y, Tian T, Feng H. Differences of airborne and mural microorganisms in a 1,500-year-old Xu Xianxiu's Tomb, Taiyuan, China. Front Microbiol 2023; 14:1253461. [PMID: 37954248 PMCID: PMC10635417 DOI: 10.3389/fmicb.2023.1253461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/03/2023] [Indexed: 11/14/2023] Open
Abstract
Background Microbial colonization represents one of the main threats to the conservation of subterranean cultural heritage sites. Recently, the microbial colonization on murals in tombs has gradually attracted attention. Methods In this study, a total of 33 samples, including 27 aerosol samples and 6 mural painting samples, were collected from different sites of Xu Xianxiu's Tomb and analyzed using culture-dependent methods. We compared the diversities of culturable bacteria and fungi isolated from the air and murals and explored the potential impacts of microorganisms on the biodeterioration of the murals. Results Phylogenetic analyses revealed that the culturable bacteria belonged to Bacillus, Microbacterium, Lysobacter and Arthrobacter. And the most of fungal belonged to the Penicillium, Cladosporium and Aspergillus genera. The composition and structure of airborne bacteria and fungi outside the tomb were both significantly different from that inside the tomb. The variation trends of airborne bacterial and fungal concentrations at different sampling sites were remarkably similar. Bacillus frigoritolerans, Bacillus halotolerans, Bacillus safensis, Exiguobacterium mexicanum, Microbacterium trichothecenolyticum, and Micrococcus yunnanensis were bacterial species commonly isolated from both the mural and air environments. Fungal species commonly isolated from aerosol samples and mural painting samples were Alternaria alternata, Cladosporium cladosporioides, Penicillium brevicompactum, and Peyronellaea glomerata. The prediction of the ecological functions of the bacteria revealed that chemoheterotrophy or aerobic_chemoheterotrophy accounted for substantial relative proportions in all sample types. Conclusion These results suggest that the aerosol circulation between the inside and outside environments of the tomb was weak and that the outside environment had yet to have an impact on the air microbial community inside the tomb. Selective colonization of microorganisms, which is mediated by interaction between microorganisms and special microenvironmental factors, is an important reason for the biodeterioration of murals.
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Affiliation(s)
- Jiangyun Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Fasi Wu
- National Research Center for Conservation of Ancient Wall Paintings and Earthen Sites, Department of Conservation Research, Dunhuang Academy, Dunhuang, Gansu, China
- Gansu Provincial Research Center for Conservation of Dunhuang Cultural Heritage, Dunhuang, Gansu, China
| | - Ting Xiang
- MOE Key Laboratory of Cell Activities and Stress Adaptations, Centre for Grassland Microbiome, School of Life Sciences, Lanzhou University, Lanzhou, Gansu, China
| | - Wenxia Ma
- MOE Key Laboratory of Cell Activities and Stress Adaptations, Centre for Grassland Microbiome, School of Life Sciences, Lanzhou University, Lanzhou, Gansu, China
| | - Dongpeng He
- National Research Center for Conservation of Ancient Wall Paintings and Earthen Sites, Department of Conservation Research, Dunhuang Academy, Dunhuang, Gansu, China
- Gansu Provincial Research Center for Conservation of Dunhuang Cultural Heritage, Dunhuang, Gansu, China
| | - Qi Zhang
- MOE Key Laboratory of Cell Activities and Stress Adaptations, Centre for Grassland Microbiome, School of Life Sciences, Lanzhou University, Lanzhou, Gansu, China
| | - Wanfu Wang
- National Research Center for Conservation of Ancient Wall Paintings and Earthen Sites, Department of Conservation Research, Dunhuang Academy, Dunhuang, Gansu, China
- Gansu Provincial Research Center for Conservation of Dunhuang Cultural Heritage, Dunhuang, Gansu, China
| | - Yulong Duan
- Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu, China
| | - Tian Tian
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Huyuan Feng
- MOE Key Laboratory of Cell Activities and Stress Adaptations, Centre for Grassland Microbiome, School of Life Sciences, Lanzhou University, Lanzhou, Gansu, China
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3
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Upper Respiratory Microbiome in Pregnant Women: Characterization and Influence of Parity. Microorganisms 2022; 10:microorganisms10112189. [DOI: 10.3390/microorganisms10112189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/28/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
During pregnancy, the woman’s immune system changes to support fetal development. These immunological modifications can increase the risk of respiratory diseases. Because the respiratory microbiome is involved in airway homeostasis, it is important to investigate how it changes during pregnancy. Additionally, since parity is associated with immune system alterations and cohabitants shared a similar microbiome, we investigated whether having a child may influence the respiratory microbiome of pregnant women. We compared the microbiome of 55 pregnant with 26 non-pregnant women using 16S rRNA gene sequencing and analyzed taxonomy, diversity, and metabolic pathways to evaluate the differences among nulliparous, primiparous, and multiparous women. The microbiome was similar in pregnant and non-pregnant women, but pregnant women had higher alpha diversity (Chao1 p-value = 0.001; Fisher p-value = 0.005) and a lower abundance of several metabolic pathways. Multiparous pregnant women had a higher relative abundance of Moraxella (p-value = 0.003) and a lower abundance of Corynebacterium (p-value = 0.002) compared with primiparous women. Both multiparous (pregnant) and primiparous/multiparous (non-pregnant) women reported a higher abundance of Moraxella compared with primiparous (pregnant) or nulliparous ones (p-value = 0.001). In conclusion, we characterized for the first time the upper airway microbiome of pregnant women and observed the influence of parity on its composition.
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Yang JIL, Lee BG, Park J, Yeo M. Airborne fungal and bacterial microbiome in classrooms of elementary schools during the COVID-19 pandemic period: Effects of school disinfection and other environmental factors. INDOOR AIR 2022; 32:e13107. [PMID: 36168218 PMCID: PMC9538906 DOI: 10.1111/ina.13107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/16/2022] [Accepted: 08/18/2022] [Indexed: 06/16/2023]
Abstract
The aim of the study was to examine the effects of environmental factors including disinfection on airborne microbiome during the coronavirus disease 2019 pandemic, we evaluated indoor and outdoor air collected from 19 classrooms regularly disinfected. Extracted bacterial and fungal DNA samples were sequenced using the Illumina MiSeq™ platform. Using bacterial DNA copy number concentrations from qPCR analysis, multiple linear regressions including environmental factors as predictors were performed. Microbial diversity and community composition were evaluated. Classrooms disinfected with spray ≤1 week before sampling had lower bacterial DNA concentration (3116 DNA copies/m3 ) than those >1 week (5003 copies/m3 ) (p-values = 0.06). The bacterial DNA copy number concentration increased with temperature and was higher in classrooms in coastal than inland cities (p-values <0.01). Bacterial diversity in outdoor air was higher in coastal than inland cities while outdoor fungal diversity was higher in inland than coastal cities. These outdoor microbiomes affected classroom microbial diversity but bacterial community composition at the genus level in occupied classrooms were similar between coastal and inland cities. Our findings emphasize that environmental conditions including disinfection, climate, and school location are important factors in shaping classroom microbiota. Yet, further research is needed to understand the effects of modified microbiome by disinfection on occupants' health.
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Affiliation(s)
- Jun I. L. Yang
- Department of Applied Environmental ScienceGraduate School Kyung Hee UniversityYongin‐siKorea
| | - Bong Gu Lee
- Department of Applied Environmental ScienceGraduate School Kyung Hee UniversityYongin‐siKorea
| | - Ju‐Hyeong Park
- Respiratory Health DivisionNational Institute for Occupational Safety and HealthMorgantownWest VirginiaUSA
| | - Min‐Kyeong Yeo
- Department of Applied Environmental ScienceGraduate School Kyung Hee UniversityYongin‐siKorea
- Department of Environmental Science and Engineering, College of EngineeringKyung Hee UniversityYongin‐siKorea
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Habibi N, Uddin S, Behbehani M, Al Salameen F, Razzack NA, Zakir F, Shajan A, Alam F. Bacterial and fungal communities in indoor aerosols from two Kuwaiti hospitals. Front Microbiol 2022; 13:955913. [PMID: 35966680 PMCID: PMC9366136 DOI: 10.3389/fmicb.2022.955913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 07/04/2022] [Indexed: 11/16/2022] Open
Abstract
The airborne transmission of COVID-19 has drawn immense attention to bioaerosols. The topic is highly relevant in the indoor hospital environment where vulnerable patients are treated and healthcare workers are exposed to various pathogenic and non-pathogenic microbes. Knowledge of the microbial communities in such settings will enable precautionary measures to prevent any hospital-mediated outbreak and better assess occupational exposure of the healthcare workers. This study presents a baseline of the bacterial and fungal population of two major hospitals in Kuwait dealing with COVID patients, and in a non-hospital setting through targeted amplicon sequencing. The predominant bacteria of bioaerosols were Variovorax (9.44%), Parvibaculum (8.27%), Pseudonocardia (8.04%), Taonella (5.74%), Arthrospira (4.58%), Comamonas (3.84%), Methylibium (3.13%), Sphingobium (4.46%), Zoogloea (2.20%), and Sphingopyxis (2.56%). ESKAPEE pathogens, such as Pseudomonas, Acinetobacter, Staphylococcus, Enterococcus, and Escherichia, were also found in lower abundances. The fungi were represented by Wilcoxinia rehmii (64.38%), Aspergillus ruber (9.11%), Penicillium desertorum (3.89%), Leptobacillium leptobactrum (3.20%), Humicola grisea (2.99%), Ganoderma sichuanense (1.42%), Malassezia restricta (0.74%), Heterophoma sylvatica (0.49%), Fusarium proliferatum (0.46%), and Saccharomyces cerevisiae (0.23%). Some common and unique operational taxonomic units (OTUs) of bacteria and fungi were also recorded at each site; this inter-site variability shows that exhaled air can be a source of this variation. The alpha-diversity indices suggested variance in species richness and abundance in hospitals than in non-hospital sites. The community structure of bacteria varied spatially (ANOSIM r 2 = 0.181-0.243; p < 0.05) between the hospital and non-hospital sites, whereas fungi were more or less homogenous. Key taxa specific to the hospitals were Defluvicoccales, fungi, Ganodermataceae, Heterophoma, and H. sylvatica compared to Actinobacteria, Leptobacillium, L. leptobacillium, and Cordycipitaceae at the non-hospital site (LefSe, FDR q ≤ 0.05). The hospital/non-hospital MD index > 1 indicated shifts in the microbial communities of indoor air in hospitals. These findings highlight the need for regular surveillance of indoor hospital environments to prevent future outbreaks.
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Affiliation(s)
| | - Saif Uddin
- Environment and Life Science Research Centre, Kuwait Institute for Scientific Research, Kuwait City, Kuwait
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Jiang X, Wang C, Guo J, Hou J, Guo X, Zhang H, Tan J, Li M, Li X, Zhu H. Global Meta-analysis of Airborne Bacterial Communities and Associations with Anthropogenic Activities. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:9891-9902. [PMID: 35785964 PMCID: PMC9301914 DOI: 10.1021/acs.est.1c07923] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Airborne microbiome alterations, an emerging global health concern, have been linked to anthropogenic activities in numerous studies. However, these studies have not reached a consensus. To reveal general trends, we conducted a meta-analysis using 3226 air samples from 42 studies, including 29 samples of our own. We found that samples in anthropogenic activity-related categories showed increased microbial diversity, increased relative abundance of pathogens, increased co-occurrence network complexity, and decreased positive edge proportions in the network compared with the natural environment category. Most of the above conclusions were confirmed using the samples we collected in a particular period with restricted anthropogenic activities. Additionally, unlike most previous studies, we used 15 human-production process factors to quantitatively describe anthropogenic activities. We found that microbial richness was positively correlated with fine particulate matter concentration, NH3 emissions, and agricultural land proportion and negatively correlated with the gross domestic product per capita. Airborne pathogens showed preferences for different factors, indicating potential health implications. SourceTracker analysis showed that the human body surface was a more likely source of airborne pathogens than other environments. Our results advance the understanding of relationships between anthropogenic activities and airborne bacteria and highlight the role of airborne pathogens in public health.
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Affiliation(s)
- Xiaoqing Jiang
- State
Key Laboratory for Turbulence and Complex Systems, Department of Biomedical
Engineering, College of Future Technology, Peking University, Beijing 100871, China
- Center
for Quantitative Biology, Peking University, Beijing 100871, China
| | - Chunhui Wang
- School
of Life Sciences, Peking University, Beijing 100871, China
| | - Jinyuan Guo
- State
Key Laboratory for Turbulence and Complex Systems, Department of Biomedical
Engineering, College of Future Technology, Peking University, Beijing 100871, China
- Center
for Quantitative Biology, Peking University, Beijing 100871, China
- Department
of Biomedical Engineering, Georgia Institute
of Technology and Emory University, Atlanta, Georgia 30332, United States
| | - Jiaheng Hou
- State
Key Laboratory for Turbulence and Complex Systems, Department of Biomedical
Engineering, College of Future Technology, Peking University, Beijing 100871, China
- Center
for Quantitative Biology, Peking University, Beijing 100871, China
| | - Xiao Guo
- State
Key Laboratory for Turbulence and Complex Systems, Department of Biomedical
Engineering, College of Future Technology, Peking University, Beijing 100871, China
- Center
for Quantitative Biology, Peking University, Beijing 100871, China
| | - Haoyu Zhang
- State
Key Laboratory for Turbulence and Complex Systems, Department of Biomedical
Engineering, College of Future Technology, Peking University, Beijing 100871, China
- Center
for Quantitative Biology, Peking University, Beijing 100871, China
| | - Jie Tan
- State
Key Laboratory for Turbulence and Complex Systems, Department of Biomedical
Engineering, College of Future Technology, Peking University, Beijing 100871, China
- Center
for Quantitative Biology, Peking University, Beijing 100871, China
| | - Mo Li
- School
of Life Sciences, Peking University, Beijing 100871, China
| | - Xin Li
- School
of Life Sciences, Peking University, Beijing 100871, China
- Beijing
National Day School, Beijing 100039, China
| | - Huaiqiu Zhu
- State
Key Laboratory for Turbulence and Complex Systems, Department of Biomedical
Engineering, College of Future Technology, Peking University, Beijing 100871, China
- Center
for Quantitative Biology, Peking University, Beijing 100871, China
- Department
of Biomedical Engineering, Georgia Institute
of Technology and Emory University, Atlanta, Georgia 30332, United States
- . Phone: 8610-6276-7261
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7
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Zhu Z, Zeng Q, Wang Z, Xue Y, Chen T, Hu Y, Wang Y, Wu Y, Shen Q, Jiang C, Shen C, Liu L, Zhu H, Liu Q. Skin microbiome reconstruction and lipid metabolism profile alteration reveal the treatment mechanism of Cryptotanshinone in the acne rat. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2022; 101:154101. [PMID: 35472695 DOI: 10.1016/j.phymed.2022.154101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/22/2022] [Accepted: 04/14/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Acne has become one of the most prevalent skin disorders, affecting mostly young people's physical and mental health globally. Cryptotanshinone (CPT) is a potential drug for acne, but its mechanism of acne treatment has not been thoroughly studied on the microbiota. Till date, only a few studies are directed to the impact of acne therapy on skin microbiota and lipid metabolites. PURPOSE The action mechanism of CPT treatment of acne was investigated by the strategy of microbiome integration with lipidomics. METHODS The 16Sr DNA sequencing was used to detect skin microbiota composition, and absolute quantitative lipidomics was utilized to identify lipid metabolites profiles levels. Four key proteins of the glycolysis pathway were detected with the immunochemistry method. Antibacterial analysis was used to evaluate CPT treatment of acne. RESULTS CPT significantly inhibited Staphylococcus epidermidis and Staphylococcus aureus. Combination of the skin microbiome and lipidomics analysis, 29 types of differentially expressed flora (DEFs) and 782 differentially expressed lipid metabolites (DELMs) were significantly altered, especially Staphylococcus, Corynebacterium, Ralstonia, Enhydrobacter, Burkholderia, and Streptococcus. Cer was mainly regulated by Staphylococcus and Corynebacterium, whereas TG and DG were mainly regulated by Ralstonia, Enhydrobacter, Burkholderia, and Streptococcus. The glycolysis pathway was significantly regulated by Staphylococcus on CPT treatment of acne. The energy metabolism, lipid metabolism, immune system, glycan biosynthesis, and metabolism could be reversed by CPT. CONCLUSION CPT might help acne rats rebuild their skin microbiota and alter lipid metabolism signatures. Furthermore, since skin microbes and skin lipid metabolites have a close correlation and are both regulated by CPT, the findings potentially provide a research foundation for the discovery of biomarkers of skin microbiome imbalance and targeted treatment of acne development mechanisms.
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Affiliation(s)
- Zhaoming Zhu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Quanfu Zeng
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Zhuxian Wang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Yaqi Xue
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Tingting Chen
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Yi Hu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Yuan Wang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Yufan Wu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Qun Shen
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Cuiping Jiang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Chunyan Shen
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Li Liu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Hongxia Zhu
- Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510300, China.
| | - Qiang Liu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.
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An Assessment of Airborne Bacteria and Fungi in the Female Dormitory Environment: Level, Impact Factors and Dose Rate. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116642. [PMID: 35682227 PMCID: PMC9180550 DOI: 10.3390/ijerph19116642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 05/18/2022] [Accepted: 05/27/2022] [Indexed: 11/17/2022]
Abstract
In this study, the levels of airborne bacteria and fungi were tested in a female dormitory room; the effects of heating, relative humidity and number of occupants on indoor microorganisms were analyzed and the dose rate of exposure to microbes was assessed. The bacterial and fungal concentrations in the room ranged from 100 to several thousand CFU/m3, and the highest counts were observed in the morning (930 ± 1681 CFU/m3). Staphylococcus spp. and Micrococcus spp. were found in the dormitory. When the heating was on, the total bacterial and fungal counts were lower than when there was no heating. Moreover, statistically significant differences were observed for bacterial concentrations during the morning periods between the times when there was no heating and the times when there was heating. The number of occupants had an obvious positive effect on the total bacterial counts. Moreover, RH had no correlation with the airborne fungi in the dormitory, statistically. Furthermore, the highest dose rate from exposure to bacteria and fungi was observed during sleeping hours. The dose rate from exposure to airborne microorganisms in the dormitory was associated with the activity level in the room. These results helped to elucidate the threat of bioaerosols to the health of female occupants and provide guidance for protective measures.
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Peimbert M, Alcaraz LD. Where environmental microbiome meets its host: subway and passenger microbiome relationships. Mol Ecol 2022; 32:2602-2618. [PMID: 35318755 DOI: 10.1111/mec.16440] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 03/12/2022] [Accepted: 03/16/2022] [Indexed: 12/17/2022]
Abstract
Subways are urban transport systems with high capacity. Every day around the world, there are more than 150 million subway passengers. Since 2013, thousands of microbiome samples from various subways worldwide have been sequenced. Skin bacteria and environmental organisms dominate the subway microbiomes. The literature has revealed common bacterial groups in subway systems; even so, it is possible to identify cities by their microbiome. Low-frequency bacteria are responsible for specific bacterial fingerprints of each subway system. Furthermore, daily subway commuters leave their microbial clouds and interact with other passengers. Microbial exchange is quite fast; the hand microbiome changes within minutes, and after cleaning the handrails, the bacteria are re-established within minutes. To investigate new taxa and metabolic pathways of subway microbial communities, several high-quality metagenomic-assembled genomes (MAG) have been described. Subways are harsh environments unfavorable for microorganism growth. However, recent studies have observed a wide diversity of viable and metabolically active bacteria. Understanding which bacteria are living, dormant, or dead allows us to propose realistic ecological interactions. Questions regarding the relationship between humans and the subway microbiome, particularly the microbiome effects on personal and public health, remain unanswered. This review summarizes our knowledge of subway microbiomes and their relationship with passenger microbiomes.
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Affiliation(s)
- Mariana Peimbert
- Departamento de Ciencias Naturales, Unidad Cuajimalpa, Universidad Autónoma Metropolitana. Ciudad de México, México
| | - Luis D Alcaraz
- Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad de México, México
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10
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Lee LD, Delclos G, Berkheiser ML, Barakat MT, Jensen PA. Evaluation of multiple fixed in-room air cleaners with ultraviolet germicidal irradiation, in high-occupancy areas of selected commercial indoor environments. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE 2022; 19:67-77. [PMID: 34647857 DOI: 10.1080/15459624.2021.1991581] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The use of ultraviolet germicidal irradiation (UVGI) to combat disease transmission has come into the international spotlight again because of the recent SARS-CoV-2 pandemic and ongoing outbreaks of multidrug resistant organisms in hospitals. Although the implementation of ultraviolet disinfection technology is widely employed in healthcare facilities and its effectiveness has been repeatedly demonstrated, the use of such technology in the commercial sector has been limited. Considering that most disease transmission occurs in commercial, public, and residential indoor environments as opposed to healthcare facilities, there is a need to understand whether ultraviolet (UV) disinfection technology can be effective for mitigating disease transmission in these environments. The results presented here demonstrate that the installation of fixed in-room UVGI air cleaners in commercial buildings, including restaurants and offices, can produce significant reductions in both airborne and surface-borne bacterial contamination. Total airborne reductions after UV implementation at six separate commercial sites averaged 73% (p < 0.0001) with a range of 71-88%. Total non-high touch surface reductions after implementation averaged 55% (p < 0.0001) with a range of 28-88%. All reductions at the mitigated sites were statistically significant. The mean value of indoor airborne bacteria was 320 CFU/m3 before intervention and 76 CFU/m3 after. The mean value of indoor non-high touch surface borne bacteria was 131 CFU/plate before intervention and 47 CFU/plate after. All test locations and controls had their required pandemic cleaning procedures in place for pre- and post-sampling events. Outdoor levels of airborne bacteria were monitored and there was no significant correlation between the levels of airborne bacteria in the outside air as opposed to the indoor air. Rooms with fixed in-room UVGI air cleaners installed had significant CFU reductions on local surface contamination, which is a novel and important finding. Installation of fixed in-room UVGI air cleaners in commercial buildings will decontaminate the indoor environment and reduce hazardous exposure to human pathogens.
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Affiliation(s)
- Linda D Lee
- University of Texas School of Public Health, Houston, Texas
| | - George Delclos
- University of Texas, Health Science Center at Houston, Houston, Texas
| | - Matthew Lee Berkheiser
- Environmental Health & Safety, University of Texas, Anderson Cancer Center, Houston, Texas
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