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Zorn J, Simões M, Velders GJM, Gerlofs-Nijland M, Strak M, Jacobs J, Dijkema MBA, Hagenaars TJ, Smit LAM, Vermeulen R, Mughini-Gras L, Hogerwerf L, Klinkenberg D. Effects of long-term exposure to outdoor air pollution on COVID-19 incidence: A population-based cohort study accounting for SARS-CoV-2 exposure levels in the Netherlands. ENVIRONMENTAL RESEARCH 2024; 252:118812. [PMID: 38561121 DOI: 10.1016/j.envres.2024.118812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/04/2024]
Abstract
Several studies have linked air pollution to COVID-19 morbidity and severity. However, these studies do not account for exposure levels to SARS-CoV-2, nor for different sources of air pollution. We analyzed individual-level data for 8.3 million adults in the Netherlands to assess associations between long-term exposure to ambient air pollution and SARS-CoV-2 infection (i.e., positive test) and COVID-19 hospitalisation risks, accounting for spatiotemporal variation in SARS-CoV-2 exposure levels during the first two major epidemic waves (February 2020-February 2021). We estimated average annual concentrations of PM10, PM2.5 and NO2 at residential addresses, overall and by PM source (road traffic, industry, livestock, other agricultural sources, foreign sources, other Dutch sources), at 1 × 1 km resolution, and weekly SARS-CoV-2 exposure at municipal level. Using generalized additive models, we performed interval-censored survival analyses to assess associations between individuals' average exposure to PM10, PM2.5 and NO2 in the three years before the pandemic (2017-2019) and COVID-19-outcomes, adjusting for SARS-CoV-2 exposure, individual and area-specific confounders. In single-pollutant models, per interquartile (IQR) increase in exposure, PM10 was associated with 7% increased infection risk and 16% increased hospitalisation risk, PM2.5 with 8% increased infection risk and 18% increased hospitalisation risk, and NO2 with 3% increased infection risk and 11% increased hospitalisation risk. Bi-pollutant models suggested that effects were mainly driven by PM. Associations for PM were confirmed when stratifying by urbanization degree, epidemic wave and testing policy. All emission sources of PM, except industry, showed adverse effects on both outcomes. Livestock showed the most detrimental effects per unit exposure, whereas road traffic affected severity (hospitalisation) more than infection risk. This study shows that long-term exposure to air pollution increases both SARS-CoV-2 infection and COVID-19 hospitalisation risks, even after controlling for SARS-CoV-2 exposure levels, and that PM may have differential effects on these COVID-19 outcomes depending on the emission source.
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Affiliation(s)
- Jelle Zorn
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Mariana Simões
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Guus J M Velders
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute for Marine and Atmospheric Research (IMAU), Utrecht University, Utrecht, the Netherlands
| | - Miriam Gerlofs-Nijland
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Maciek Strak
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - José Jacobs
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Marieke B A Dijkema
- Environment and Health in Overijssel and Gelderland, Public Health Services Gelderland-Midden, the Netherlands
| | | | - Lidwien A M Smit
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Lapo Mughini-Gras
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
| | - Lenny Hogerwerf
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Don Klinkenberg
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
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2
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Zhang X, Ma Z, Hao P, Ji S, Gao Y. Characteristics and health impacts of bioaerosols in animal barns: A comprehensive study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 278:116381. [PMID: 38676963 DOI: 10.1016/j.ecoenv.2024.116381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 04/15/2024] [Accepted: 04/21/2024] [Indexed: 04/29/2024]
Abstract
Bioaerosols produced during animal production have potential adverse effects on the health of workers and animals. Our objective was to investigate characteristics, antibiotic-resistance genes (ARGs), and health risks of bioaerosols in various animal barns. Poultry and swine barns had high concentrations of airborne bacteria (11156 and 10917 CFU/m3, respectively). Acinetobacter, Clostridium sensu stricto, Corynebacterium, Pseudomonas, Psychrobacter, Streptococcus, and Staphylococcus were dominant pathogenic bacteria in animal barns, with Firmicutes being the most abundant bacterial phylum. Based on linear discriminant analysis effect size (LEfSe), there were more discriminative biomarkers in cattle barns than in poultry or swine barns, although the latter had the highest abundance of bacterial pathogens and high abundances of ARGs (including tetM, tetO, tetQ, tetW sul1, sul2, ermA, ermB) and intI1). Based on network analyses, there were higher co-occurrence patterns between bacteria and ARGs in bioaerosol from swine barns. Furthermore, in these barns, relative abundance of bacteria in bioaerosol samples was greatly affected by environmental factors, mainly temperature, relative humidity, and concentrations of CO2, NH3, and PM2.5. This study provided novel data regarding airborne bio-contaminants in animal enclosures and an impetus to improve management to reduce potential health impacts on humans and animals.
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Affiliation(s)
- Xiqing Zhang
- College of Animal Science and Veterinary Medicine, Jilin Agriculture University, Changchun 130118, China
| | - Zhenhua Ma
- College of Animal Science and Veterinary Medicine, Jilin Agriculture University, Changchun 130118, China
| | - Peng Hao
- College of Animal Science and Veterinary Medicine, Jilin Agriculture University, Changchun 130118, China
| | - Shaoze Ji
- College of Animal Science and Veterinary Medicine, Jilin Agriculture University, Changchun 130118, China
| | - Yunhang Gao
- College of Animal Science and Veterinary Medicine, Jilin Agriculture University, Changchun 130118, China.
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3
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Simões M, Zorn J, Hogerwerf L, Velders GJM, Portengen L, Gerlofs-Nijland M, Dijkema M, Strak M, Jacobs J, Wesseling J, de Vries WJ, Mijnen-Visser S, Smit LAM, Vermeulen R, Mughini-Gras L. Outdoor air pollution as a risk factor for testing positive for SARS-CoV-2: A nationwide test-negative case-control study in the Netherlands. Int J Hyg Environ Health 2024; 259:114382. [PMID: 38652943 DOI: 10.1016/j.ijheh.2024.114382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/02/2024] [Accepted: 04/15/2024] [Indexed: 04/25/2024]
Abstract
Air pollution is a known risk factor for several diseases, but the extent to which it influences COVID-19 compared to other respiratory diseases remains unclear. We performed a test-negative case-control study among people with COVID-19-compatible symptoms who were tested for SARS-CoV-2 infection, to assess whether their long- and short-term exposure to ambient air pollution (AAP) was associated with testing positive (vs. negative) for SARS-CoV-2. We used individual-level data for all adult residents in the Netherlands who were tested for SARS-CoV-2 between June and November 2020, when only symptomatic people were tested, and modeled ambient concentrations of PM10, PM2.5, NO2 and O3 at geocoded residential addresses. In long-term exposure analysis, we selected individuals who did not change residential address in 2017-2019 (1.7 million tests) and considered the average concentrations of PM10, PM2.5 and NO2 in that period, and different sources of PM (industry, livestock, other agricultural activities, road traffic, other Dutch sources, foreign sources). In short-term exposure analysis, individuals not changing residential address in the two weeks before testing day (2.7 million tests) were included in the analyses, thus considering 1- and 2-week average concentrations of PM10, PM2.5, NO2 and O3 before testing day as exposure. Mixed-effects logistic regression analysis with adjustment for several confounders, including municipality and testing week to account for spatiotemporal variation in viral circulation, was used. Overall, there was no statistically significant effect of long-term exposure to the studied pollutants on the odds of testing positive vs. negative for SARS-CoV-2. However, significant positive associations of long-term exposure to PM10 and PM2.5 from specifically foreign and livestock sources, and to PM10 from other agricultural sources, were observed. Short-term exposure to PM10 (adjusting for NO2) and PM2.5 were also positively associated with increased odds of testing positive for SARS-CoV-2. While these exposures seemed to increase COVID-19 risk relative to other respiratory diseases, the underlying biological mechanisms remain unclear. This study reinforces the need to continue to strive for better air quality to support public health.
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Affiliation(s)
- Mariana Simões
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Jelle Zorn
- National Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Bilthoven, the Netherlands
| | - Lenny Hogerwerf
- National Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Bilthoven, the Netherlands
| | - Guus J M Velders
- Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment (RIVM), Center for Environmental Quality (MIL), Bilthoven, the Netherlands
| | - Lützen Portengen
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Miriam Gerlofs-Nijland
- National Institute for Public Health and the Environment (RIVM), Center for Sustainability, Environment and Health (DMG), Bilthoven, the Netherlands
| | - Marieke Dijkema
- Municipal Health Services, Provinces of Overijssel and Gelderland, the Netherlands
| | - Maciek Strak
- National Institute for Public Health and the Environment (RIVM), Center for Sustainability, Environment and Health (DMG), Bilthoven, the Netherlands
| | - José Jacobs
- National Institute for Public Health and the Environment (RIVM), Center for Sustainability, Environment and Health (DMG), Bilthoven, the Netherlands
| | - Joost Wesseling
- National Institute for Public Health and the Environment (RIVM), Center for Environmental Quality (MIL), Bilthoven, the Netherlands
| | - Wilco J de Vries
- National Institute for Public Health and the Environment (RIVM), Center for Environmental Quality (MIL), Bilthoven, the Netherlands
| | - Suzanne Mijnen-Visser
- National Institute for Public Health and the Environment (RIVM), Center for Environmental Quality (MIL), Bilthoven, the Netherlands
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Lapo Mughini-Gras
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Bilthoven, the Netherlands.
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Ma Z, Du X, Sun Y, Sun K, Zhang X, Wang L, Zhu Y, Basang W, Gao Y. RGS2 attenuates alveolar macrophage damage by inhibiting the Gq/11-Ca 2+ pathway during cowshed PM2.5 exposure, and aberrant RGS2 expression is associated with TLR2/4 activation. Toxicol Appl Pharmacol 2024; 487:116976. [PMID: 38777097 DOI: 10.1016/j.taap.2024.116976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 04/07/2024] [Accepted: 05/18/2024] [Indexed: 05/25/2024]
Abstract
Staff and animals in livestock buildings are constantly exposed to fine particulate matter (PM2.5), which affects their respiratory health. However, its exact pathogenic mechanism remains unclear. Regulator of G-protein signaling 2 (RGS2) has been reported to play a regulatory role in pneumonia. The aim of this study was to explore the therapeutic potential of RGS2 in cowshed PM2.5-induced respiratory damage. PM2.5 was collected from a cattle farm, and the alveolar macrophages (NR8383) of the model animal rat were stimulated with different treatment conditions of cowshed PM2.5. The RGS2 overexpression vector was constructed and transfected it into cells. Compared with the control group, cowshed PM2.5 significantly induced a decrease in cell viability and increased the levels of apoptosis and proinflammatory factor expression. Overexpression of RGS2 ameliorated the above-mentioned cellular changes induced by cowshed PM2.5. In addition, PM2.5 has significantly induced intracellular Ca2+ dysregulation. Affinity inhibition of Gq/11 by RGS2 attenuated the cytosolic calcium signaling pathway mediated by PLCβ/IP3R. To further investigate the causes and mechanisms of action of differential RGS2 expression, the possible effects of oxidative stress and TLR2/4 activation were investigated. The results have shown that RGS2 expression was not only regulated by oxidative stress-induced nitric oxide during cowshed PM2.5 cells stimulation but the activation of TLR2/4 had also an important inhibitory effect on its protein expression. The present study demonstrates the intracellular Ca2+ regulatory role of RGS2 during cellular injury, which could be a potential target for the prevention and treatment of PM2.5-induced respiratory injury.
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Affiliation(s)
- Zhenhua Ma
- Department of Veterinary Medicine, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China; Institute of Animal Husbandry and Veterinary Medicine, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850009, China
| | - Xiaohui Du
- Department of Veterinary Medicine, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Yize Sun
- Department of Veterinary Medicine, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Ke Sun
- Department of Veterinary Medicine, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Xiqing Zhang
- Department of Veterinary Medicine, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Lixia Wang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Yanbin Zhu
- Institute of Animal Husbandry and Veterinary Medicine, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850009, China
| | - Wangdui Basang
- Institute of Animal Husbandry and Veterinary Medicine, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850009, China.
| | - Yunhang Gao
- Department of Veterinary Medicine, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
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Faldynova M, Prikrylova H, Sebkova A, Volf J, Karasova D, Crhanova M, Babak V, Rychlik I. Contact with adult hens affects the composition of skin and respiratory tract microbiota in newly hatched chicks. Poult Sci 2024; 103:103302. [PMID: 38052128 PMCID: PMC10746563 DOI: 10.1016/j.psj.2023.103302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 11/04/2023] [Accepted: 11/15/2023] [Indexed: 12/07/2023] Open
Abstract
Chickens in commercial production are hatched in hatcheries without any contact with their parents and colonization of their skin and respiratory tract is therefore dependent on environmental sources only. However, since chickens evolved to be hatched in nests, in this study we evaluated the importance of contact between hens and chicks for the development of chicken skin and tracheal microbiota. Sequencing of PCR amplified V3/V4 variable regions of the 16S rRNA gene showed that contact with adult hens decreased the abundance of E. coli, Proteus mirabilis and Clostridium perfringens both in skin and the trachea, and Acinetobacter johnsonii and Cutibacterium acnes in skin microbiota only. These species were replaced by Lactobacillus gallinarum, Lactobacillus aviarius, Limosilactobacillus reuteri, and Streptococcus pasterianus in the skin and tracheal microbiota of contact chicks. Lactobacilli can be therefore investigated for their probiotic effect in respiratory tract in the future. Skin and respiratory microbiota of contact chickens was also enriched for Phascolarctobacterium, Succinatimonas, Flavonifractor, Blautia, and [Ruminococcus] torque though, since these are strict anaerobes from the intestinal tract, it is likely that only DNA from nonviable cells was detected for these taxa.
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Affiliation(s)
- Marcela Faldynova
- Veterinary Research Institute, Hudcova 70, 62100, Brno, Czech Republic
| | - Hana Prikrylova
- Veterinary Research Institute, Hudcova 70, 62100, Brno, Czech Republic
| | - Alena Sebkova
- Veterinary Research Institute, Hudcova 70, 62100, Brno, Czech Republic
| | - Jiri Volf
- Veterinary Research Institute, Hudcova 70, 62100, Brno, Czech Republic
| | - Daniela Karasova
- Veterinary Research Institute, Hudcova 70, 62100, Brno, Czech Republic
| | | | - Vladimir Babak
- Veterinary Research Institute, Hudcova 70, 62100, Brno, Czech Republic
| | - Ivan Rychlik
- Veterinary Research Institute, Hudcova 70, 62100, Brno, Czech Republic.
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6
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Liu T, Li G, Liu Z, Xi L, Ma W, Gao X. Characteristics of aerosols from swine farms: A review of the past two-decade progress. ENVIRONMENT INTERNATIONAL 2023; 178:108074. [PMID: 37441818 DOI: 10.1016/j.envint.2023.108074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023]
Abstract
With the rapid development of large-scale and intensive swine production, the emission of aerosols from swine farms has become a growing concern, attracting extensive attention. While aerosols are found in various environments, those from swine farms are distinguished from human habitats, such as residential, suburban, and urban areas. In order to gain a comprehensive understanding of aerosols from swine farms, this paper reviewed relevant studies conducted between 2000 and 2022. The main components, concentrations, and size distribution of the aerosols were systematically reviewed. The differences between aerosols from swine farms and human living and working environments were compared. Finally, the sources, influencing factors, and reduction technologies for aerosols from swine farms were thoroughly elucidated. The results demonstrated that the concentrations of aerosols inside swine farms varied considerably, and most exceeded safety thresholds. However, further exploration is needed to fully understand the difference in airborne microorganism community structure and particles with small sizes (<1 μm) between swine farms and human living and working environments. More airborne bacterial and viruses were adhered to large particles in swine houses, while the proportion of airborne fungi in the respirable fraction was similar to that of human living and working environments. In addition, swine farms have a higher abundance and diversity of potential pathogens, airborne resistant microorganisms and resistant genes compared to the human living and working environments. The aerosols of swine farms mainly originated from sources such as manure, feed, swine hair and skin, secondary production, and waste treatment. According to the source analysis and factors influencing aerosols in swine farms, various technologies could be employed to mitigate aerosol emissions, and some end-of-pipe technologies need to be further improved before they are widely applied. Swine farms are advised not to increase aerosol concentration in human living and working environments, in order to decrease the impact of aerosols from swine farms on human health and restrain the spread of airborne potential pathogens. This review provides critical insights into aerosols of swine farms, offering guidance for taking appropriate measures to enhance air quality inside and surrounding swine farms.
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Affiliation(s)
- Tongshuai Liu
- College of Animal Science & Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan 450046, China; Henan Engineering Research Center on Animal Healthy Environment and Intelligent Equipment, Zhengzhou, Henan 450046, China
| | - Guoming Li
- Department of Poultry Science, The University of Georgia, Athens, GA 30602, USA; Institute for Artificial Intelligence, The University of Georgia, Athens, GA 30602, USA.
| | - Zhilong Liu
- Henan University of Animal Husbandry and Economy Library, Zhengzhou, Henan 450046, China
| | - Lei Xi
- College of Animal Science & Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan 450046, China; Henan Engineering Research Center on Animal Healthy Environment and Intelligent Equipment, Zhengzhou, Henan 450046, China
| | - Wei Ma
- College of Animal Science & Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan 450046, China; Henan Engineering Research Center on Animal Healthy Environment and Intelligent Equipment, Zhengzhou, Henan 450046, China
| | - Xuan Gao
- College of Animal Science & Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan 450046, China
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Characteristics and Traceability Analysis of Microbial Assemblage in Fine Particulate Matter from a Pig House. Animals (Basel) 2023; 13:ani13061058. [PMID: 36978598 PMCID: PMC10044456 DOI: 10.3390/ani13061058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/12/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
Fine particulate matter (PM2.5) can carry numerous substances and penetrate deep into the respiratory tract due to its small particle size; associated harmful microorganisms are suspected to increase health risks for humans and animals. To find out the microbial compositions of PM2.5 in piggeries, their interaction and traceability, we collected PM2.5 samples from a piggery while continuously monitoring the environmental indicators. We also identified pathogenic bacteria and allergens in the samples using high-throughput sequencing technology. We analyzed the microbial differences of PM2.5 samples at different heights and during different times of day and investigated the microbial dynamics among the PM2.5 samples. To better understand the interaction between microorganisms and environmental factors among different microbial communities, we applied the network analysis method to identify the correlation among various variables. Finally, SourceTracker, a commonly used microbial traceability tool, was used to predict the source of airborne microorganisms in the pig house. We identified 14 potential pathogenic bacteria and 5 allergens from PM2.5 in the pig houses, of which Acinetobacter was the dominant bacterium in all samples (relative abundance > 1%), which warrants attention. We found that bacteria and fungi directly affected the the microbial community. The bacterial community mainly played a positive role in the microbial community. Environmental variables mainly indirectly and positively affected microbial abundance. In the SourceTracker analysis using fecal matter and feed as sources and PM2.5 sample as sink, we found that fecal matter made the greatest contribution to both bacterial and fungal components of PM2.5. Our findings provide important insights into the potential risks of pathogens in PM2.5 to human and animal health and their main sources.
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Particulate matter in poultry house on poultry respiratory disease: a systematic review. Poult Sci 2023; 102:102556. [PMID: 36848758 PMCID: PMC9982681 DOI: 10.1016/j.psj.2023.102556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 01/27/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
Particulate matter (PM) is one of the essential environmental stressors for the poultry industry in the world. Given its large specific surface area, PM can adsorb and carry a variety of pollutants, including heavy metal ions, ammonia, and persistent organic pollutants such as pathogenic microorganisms. High concentrations of PM induce poultry respiratory inflammation and trigger various diseases. However, the pathogenic mechanism of PM in poultry houses on respiratory diseases has not been clarified due to its complexity and lack of accurate assays. In terms of pathogenesis, there are 3 ways to explain this phenomenon: Inhaled PM irritates the respiratory tract, decreases immune resistance, and causes a respiratory disease; respiratory tract irritation by compounds presents in PM; infections with pathogenic and non-pathogenic microorganisms attached to PM. The latter 2 modes of influence are more harmful. Specifically, PM can induce the respiratory disease through several toxic mechanisms, including ammonia ingestion and bioaccumulation, lung flora dysbiosis, oxidative stress, and metabolic disorders. Therefore, this review summarizes the characteristics of PM in the poultry house and the impact of poultry PM on respiratory disease and proposes potential pathogenic mechanisms.
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Gao FZ, He LY, Bai H, He LX, Zhang M, Chen ZY, Liu YS, Ying GG. Airborne bacterial community and antibiotic resistome in the swine farming environment: Metagenomic insights into livestock relevance, pathogen hosts and public risks. ENVIRONMENT INTERNATIONAL 2023; 172:107751. [PMID: 36680804 DOI: 10.1016/j.envint.2023.107751] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 05/05/2023]
Abstract
Globally extensive use of antibiotics has accelerated antimicrobial resistance (AMR) in the environment. As one of the biggest antibiotic consumers, livestock farms are hotspots in AMR prevalence, especially those in the atmosphere can transmit over long distances and pose inhalation risks to the public. Here, we collected total suspended particulates in swine farms and ambient air of an intensive swine farming area. Bacterial communities and antibiotic resistomes were analyzed using amplicon and metagenomic sequencing approaches. AMR risks and inhalation exposure to potential human-pathogenic antibiotic-resistant bacteria (HPARB) were subsequently estimated with comparison to the reported hospital samples. The results show that swine farms shaped the airborne bacterial community by increasing abundances, reducing diversities and shifting compositions. Swine feces contributed 77% of bacteria to swine farm air, and about 35% to ambient air. Airborne antibiotic resistomes in swine farms mainly conferred resistance to tetracyclines, aminoglycosides and lincosamides, and over 48% were originated from swine feces. Distinct to the hospital air, Firmicutes were dominant bacteria in swine farming environments with conditional pathogens including Clostridium, Streptococcus and Aerococcus being major hosts of antibiotic resistance genes (ARGs). Therein, genomes of S. alactolyticus carrying (transposase/recombinase-associated) ARGs and virulence factor genes were retrieved from the metagenomes of all swine feces and swine farm air samples, but they were not detected in any hospital air samples. This suggests the indication of S. alactolyticus in swine farming environments with potential hazards to human health. Swine farm air faced higher AMR risks than hospital air and swine feces. The inhalation intake of HPARB by a swine farm worker was about three orders of magnitude higher than a person who works in the hospital. Consequently, this study depicted atmospheric transmission of bacteria and antibiotic resistomes from swine feces to the environment.
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Affiliation(s)
- Fang-Zhou Gao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Liang-Ying He
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
| | - Hong Bai
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Lu-Xi He
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Min Zhang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Zi-Yin Chen
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - You-Sheng Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
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Rychlik I, Karasova D, Crhanova M. Microbiota of Chickens and Their Environment in Commercial Production. Avian Dis 2023; 67:1-9. [PMID: 37140107 DOI: 10.1637/aviandiseases-d-22-00048] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 11/04/2022] [Indexed: 01/24/2023]
Abstract
Chickens in commercial production are subjected to constant interaction with their environment, including the exchange of microbiota. In this review, we therefore focused on microbiota composition in different niches along the whole line of chicken production. We included a comparison of microbiota of intact eggshells, eggshell waste from hatcheries, bedding, drinking water, feed, litter, poultry house air and chicken skin, trachea, crop, small intestine, and cecum. Such a comparison showed the most frequent interactions and allowed for the identification of microbiota members that are the most characteristic for each type of sample as well as those that are the most widespread in chicken production. Not surprisingly, Escherichia coli was the most widely distributed species in chicken production, although its dominance was in the external aerobic environment and not in the intestinal tract. Other broadly distributed species included Ruminococcus torque, Clostridium disporicum, and different Lactobacillus species. The consequence and meaning of these and other observations are evaluated and discussed.
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Affiliation(s)
- Ivan Rychlik
- Veterinary Research Institute, Brno 621 00, Czech Republic
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11
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Chiu YH, Chiu HP, Lin MY. Synergistic effect of probiotic and postbiotic on attenuation of PM2.5-induced lung damage and allergic response. J Food Sci 2023; 88:513-522. [PMID: 36463413 DOI: 10.1111/1750-3841.16398] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 11/03/2022] [Accepted: 11/10/2022] [Indexed: 12/05/2022]
Abstract
To date, few studies have been conducted on the relationship between postbiotics and air pollution, and there is limited knowledge if postbiotic and probiotic have synergistic effects. Therefore, we created a PM-induced lung inflammation mice model and demonstrated the effect of probiotic, postbiotic, and their combination treatment on attenuation of PM2.5-induced lung damage and allergic response. The mice were intratracheally given PM2.5 triggering conditions of acute lung damage and allergic response. Our results showed that individual treatment of probiotic and postbiotic reduced body weight loss by 47.1% and 48.9%, but the results did not show any effect on polarizing IFN-γ/IL-4 ratio. In addition, PM2.5-induced overactive expression of IgE treated by probiotic and postbiotic was reduced by 33.2% and 30.4%, respectively. While combination treatment of probiotic and postbiotic exerted a synergistic effect, especially considerably on improving IgE reduction by 57.1%, body weight loss by 78.3%, and IFN-γ/IL-4 ratio boost by 87.5%. To sum up the above functionality, these research findings may help establish a novel platform for postbiotic application, formulation, and mechanistic selection with regard to PM2.5-induced lung injury. PRACTICAL APPLICATION: Allergic inflammation caused by PM2.5 is not like common allergens (ex. Pollens, ovalbumin, dust mites), which simply skewing Th1/Th2 polarization to Th2. Thus using probiotics screened by Th1-skewing criteria might not be the best choice to treat on PM2.5-induced symptoms. This research proposed a combination of probiotics and postbiotics on modulating immunity homeostasis, and consequently attenuating complications of PM2.5-induced lung damage. These research findings may help establish a novel platform for postbiotic application, formulation and mechanistic selection with regard to PM2.5-induced lung injury.
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Affiliation(s)
- Yi-Heng Chiu
- Department of Food Science and Biotechnology, National Chung Hsing University, Taichung, ROC, Taiwan.,Chambio Co., Ltd., Taichung, ROC, Taiwan
| | | | - Meei-Yn Lin
- Department of Food Science and Biotechnology, National Chung Hsing University, Taichung, ROC, Taiwan
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12
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Wang W, Dang G, Khan I, Ye X, Liu L, Zhong R, Chen L, Ma T, Zhang H. Bacterial Community Characteristics Shaped by Artificial Environmental PM2.5 Control in Intensive Broiler Houses. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:723. [PMID: 36613044 PMCID: PMC9819255 DOI: 10.3390/ijerph20010723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/23/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
Multilayer cage-houses for broiler rearing have been widely used in intensive Chinese farming in the last decade. This study investigated the characteristics and influencing factors of bacterial communities in the PM2.5 of broiler cage-houses. The PM2.5 samples and environmental variables were collected inside and outside of three parallel broiler houses at the early, middle, and late rearing stages; broiler manure was also gathered simultaneously. The bacterial 16S rRNA sequencing results indicated that indoor bacterial communities were different from the outdoor atmosphere and manure. Furthermore, the variations in airborne bacterial composition and structure were highly influenced by the environmental control variables at different growth stages. The db-RDA results showed that temperature and wind speed, which were artificially modified according to managing the needs for broiler growth, were the main factors affecting the diversity of dominant taxa. Indoor airborne and manurial samples shared numerous common genera, which contained high abundances of manure-origin bacteria. Additionally, the airborne bacterial community tended to stabilize in the middle and late stages, but the population of potentially pathogenic bacteria grew gradually. Overall, this study enhances the understanding of airborne bacteria variations and highlighted the potential role of environmental control measures in intensive farming.
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Affiliation(s)
- Wenxing Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Guoqi Dang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Imran Khan
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xiaobin Ye
- Bureau of Agriculture and Rural Affairs of Luanping County, Chengde 068250, China
| | - Lei Liu
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ruqing Zhong
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Liang Chen
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Teng Ma
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Hongfu Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
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Abstract
Chickens are in constant interaction with their environment, e.g., bedding and litter, and their microbiota. However, how litter microbiota develops over time and whether bedding and litter microbiota may affect the cecal microbiota is not clear. We addressed these questions using sequencing of V3/V4 variable region of 16S rRNA genes of cecal, bedding, and litter samples from broiler breeder chicken flocks for 4 months of production. Cecal, bedding, and litter samples were populated by microbiota of distinct composition. The microbiota in the bedding material did not expand in the litter. Similarly, major species from litter microbiota did not expand in the cecum. Only cecal microbiota was found in the litter forming approximately 20% of total litter microbiota. A time-dependent development of litter microbiota was observed. Escherichia coli, Staphylococcus saprophyticus, and Weissella jogaejeotgali were characteristic of fresh litter during the first month of production. Corynebacterium casei, Lactobacillus gasseri, and Lactobacillus salivarius dominated in a 2-month-old litter, Brevibacterium, Brachybacterium, and Sphingobacterium were characteristic for 3-month-old litter, and Salinococcus, Dietzia, Yaniella, and Staphylococcus lentus were common in a 4-month-old litter. Although the development was likely determined by physicochemical conditions in the litter, it might be interesting to test some of these species for active modification of litter to improve the chicken environment and welfare. IMPORTANCE Despite intimate contact, the composition of bedding, litter, and cecal microbiota differs considerably. Species characteristic for litter microbiota at different time points of chicken production were identified thus opening the possibility for active manipulation of litter microbiota.
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14
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Chen H, Yan H, Xiu Y, Jiang L, Zhang J, Chen G, Yu X, Zhu H, Zhao X, Li Y, Tang W, Zhang X. Seasonal dynamics in bacterial communities of closed-cage broiler houses. Front Vet Sci 2022; 9:1019005. [PMID: 36406086 PMCID: PMC9669973 DOI: 10.3389/fvets.2022.1019005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022] Open
Abstract
The bacteria contained in air aerosols from poultry houses are closely connected to animal health and production. This study aimed to investigate the seasonal factors on microbial aerosol concentration, particle size and bacterial spectrum composition inside a closed-cage broiler house. Then, 16S rDNA sequencing technology was applied to analyze the characteristics of bacterial abundance and diversity. The results indicated that the concentration of bacterial aerosol in the broiler house varied significantly in different seasons, with a concentration range of 5.87–15.77 × 103 CFU/m3, and the highest and lowest concentrations in the summer and winter, respectively. Microbiological analysis showed that the proportion of Gram-negative bacteria in autumn was significantly higher than that in summer (P < 0.05). In addition, the floral structure of potential pathogenic bacterial genera also differed by season. Escherichia-Shigella, Streptococcus, Acinetobacter, Pseudomonas were identified in the bacterial aerosols. Importantly, the relative abundance of Firmicutes in spring and autumn was much higher. In contrast, the relative abundance of Proteobacteria in spring and autumn was lower than that in summer and winter. Altogether, results revealed the effects of seasonal factors on the diversity and abundance of bacteria and the distribution characteristics of major opportunistic pathogens in the air of closed-cage broiler houses. These results will provide important information for exploring the potential risk of aerosols from poultry houses all four seasons.
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Affiliation(s)
- Huan Chen
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
| | - Han Yan
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
| | - Yan Xiu
- Clinical Lab, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Linlin Jiang
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Yantai Key Laboratory of Animal Pathogenetic Microbiology and Immunology, Ludong University, Yantai, China
- *Correspondence: Linlin Jiang
| | - Jianlong Zhang
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Yantai Key Laboratory of Animal Pathogenetic Microbiology and Immunology, Ludong University, Yantai, China
- Jianlong Zhang
| | - Guozhong Chen
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Xin Yu
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Hongwei Zhu
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Xiaoyu Zhao
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Youzhi Li
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Wenli Tang
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Xingxiao Zhang
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Xingxiao Zhang
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15
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Qian J, Wu Z, Zhu Y, Liu C. One Health: a holistic approach for food safety in livestock. SCIENCE IN ONE HEALTH 2022; 1:100015. [PMID: 39076604 PMCID: PMC11262287 DOI: 10.1016/j.soh.2023.100015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 05/07/2023] [Indexed: 07/31/2024]
Abstract
The food safety of livestock is a critical issue between animals and humans due to their complex interactions. Pathogens have the potential to spread at every stage of the animal food handling process, including breeding, processing, packaging, storage, transportation, marketing and consumption. In addition, application of the antibiotic usage in domestic animals is a controversial issue because, while they can combat food-borne zoonotic pathogens and promote animal growth and productivity, they can also lead to the transmission of antibiotic-resistant microorganisms and antibiotic-resistant genes across species and habitats. Coevolution of microbiomes may occur in humans and animals as well which may alter the structure of the human microbiome through animal food consumption. One Health is a holistic approach to systematically understand the complex relationships among humans, animals and environments which may provide effective countermeasures to solve food safety problems aforementioned. This paper depicts the main pathogen spectrum of livestock and animal products, summarizes the flow of antibiotic-resistant bacteria and genes between humans and livestock along the food-chain production, and the correlation of their microbiome is reviewed as well to advocate for deeper interdisciplinary communication and collaboration among researchers in medicine, epidemiology, veterinary medicine and ecology to promote One Health approaches to address the global food safety challenges.
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Affiliation(s)
- Jing Qian
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zheyuan Wu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yongzhang Zhu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Chang Liu
- Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
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16
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Hogerwerf L, Post PM, Bom B, van der Hoek W, van de Kassteele J, Stemerding AM, de Vries W, Houthuijs D. Proximity to livestock farms and COVID-19 in the Netherlands, 2020-2021. Int J Hyg Environ Health 2022; 245:114022. [PMID: 35987164 PMCID: PMC9376334 DOI: 10.1016/j.ijheh.2022.114022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/12/2022] [Accepted: 08/08/2022] [Indexed: 12/01/2022]
Abstract
Objectives In the Netherlands, during the first phase of the COVID-19 epidemic, the hotspot of COVID-19 overlapped with the country's main livestock area, while in subsequent phases this distinct spatial pattern disappeared. Previous studies show that living near livestock farms influence human respiratory health and immunological responses. This study aimed to explore whether proximity to livestock was associated with SARS-CoV-2 infection. Methods The study population was the population of the Netherlands excluding the very strongly urbanised areas and border areas, on January 1, 2019 (12, 628, 244 individuals). The cases are the individuals reported with a laboratory-confirmed positive SARS-CoV-2 test with onset before January 1, 2022 (2, 223, 692 individuals). For each individual, we calculated distance to nearest livestock farm (cattle, goat, sheep, pig, poultry, horse, rabbit, mink). The associations between residential (6-digit postal-code) distance to the nearest livestock farm and individuals' SARS-CoV-2 status was studied with multilevel logistic regression models. Models were adjusted for individuals' age categories, the social status of the postal code area, particulate matter (PM10)- and nitrogen dioxide (NO2)-concentrations. We analysed data for the entire period and population as well as separately for eight time periods (Jan–Mar, Apr–Jun, Jul–Sep and Oct–Dec in 2020 and 2021), four geographic areas of the Netherlands (north, east, west and south), and for five age categories (0–14, 15–24, 25–44, 45–64 and > 65 years). Results Over the period 2020–2021, individuals' SARS-CoV-2 status was associated with living closer to livestock farms. This association increased from an Odds Ratio (OR) of 1.01 (95% Confidence Interval [CI] 1.01–1.02) for patients living at a distance of 751–1000 m to a farm to an OR of 1.04 (95% CI 1.04–1.04), 1.07 (95% CI 1.06–1.07) and 1.11 (95% CI 1.10–1.12) for patients living in the more proximate 501–750 m, 251–500m and 0–250 m zones around farms, all relative to patients living further than 1000 m around farms. This association was observed in three out of four quarters of the year in both 2020 and 2021, and in all studied geographic areas and age groups. Conclusions In this exploratory study with individual SARS-CoV-2 notification data and high-resolution spatial data associations were found between living near livestock farms and individuals' SARS-CoV-2 status in the Netherlands. Verification of the results in other countries is warranted, as well as investigations into possible underlying exposures and mechanisms.
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Affiliation(s)
- Lenny Hogerwerf
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands.
| | - Pim M Post
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands; Department of Natural Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O Box 217, Enschede, 7500 AE, the Netherlands.
| | - Ben Bom
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands.
| | - Wim van der Hoek
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands.
| | - Jan van de Kassteele
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands.
| | | | - Wilco de Vries
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands.
| | - Danny Houthuijs
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands.
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17
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Simões M, Janssen N, Heederik DJJ, Smit LAM, Vermeulen R, Huss A. Residential proximity to livestock animals and mortality from respiratory diseases in The Netherlands: A prospective census-based cohort study. ENVIRONMENT INTERNATIONAL 2022; 161:107140. [PMID: 35189407 DOI: 10.1016/j.envint.2022.107140] [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: 07/30/2021] [Revised: 01/11/2022] [Accepted: 02/05/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND There is increasing evidence of associations between residential proximity to livestock farms and respiratory morbidity, but less is known about potential effects on respiratory mortality among residents. OBJECTIVES We aimed to assess potential associations between respiratory mortality and residential proximity to (intensive) livestock farming. METHODS In DUELS, a national census-based cohort, we selected all inhabitants from rural and semi-urban areas of the Netherlands, aged ≥30 years and living at the same address for five years up to baseline (2004). We followed these ∼4 million individuals for respiratory mortality (respiratory system diseases, chronic lower respiratory diseases, pneumonia) from 2005 to 2012. We computed the average number of cattle, pigs, chicken, and mink present in 500 m, 1000 m, 1500 m and 2000 m of each individual's residence in the period 1999-2003. Analyses were conducted using Cox proportional hazards regression, adjusting for potential confounders at individual and neighbourhood level. RESULTS We found evidence that living up to 2000 m of pig farms was associated with respiratory mortality, namely from chronic lower respiratory diseases, with Hazard Ratios ranging from 1.06 (1.02, 1.10) in people living close to low numbers (<median number of animals) of pigs in 1000 m and 1.18 (1.13, 1.24) in those living near high numbers (≥median) of pigs in 2000 m. We also found indications of higher pneumonia mortality in people living near mink farms. CONCLUSION Our results are in line with previous findings of adverse respiratory effects in people living near livestock farms. Little is known about the physical, chemical, and biological exposures leading to respiratory morbidity and mortality warranting further explorations of air contaminants in the vicinity of livestock farms.
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Affiliation(s)
- Mariana Simões
- Department Population Health Sciences, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
| | - Nicole Janssen
- Centre for Sustainability, Environment and Health (DMG), National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Dick J J Heederik
- Department Population Health Sciences, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Lidwien A M Smit
- Department Population Health Sciences, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Roel Vermeulen
- Department Population Health Sciences, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Anke Huss
- Department Population Health Sciences, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
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18
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Viana M, Salmatonidis A, Bezantakos S, Ribalta C, Moreno N, Córdoba P, Cassee FR, Boere J, Fraga S, Teixeira JP, Bessa MJ, Monfort E. Characterizing the Chemical Profile of Incidental Ultrafine Particles for Toxicity Assessment Using an Aerosol Concentrator. Ann Work Expo Health 2021; 65:966-978. [PMID: 34314505 PMCID: PMC8501988 DOI: 10.1093/annweh/wxab011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 12/01/2020] [Accepted: 01/28/2021] [Indexed: 01/04/2023] Open
Abstract
Incidental ultrafine particles (UFPs) constitute a key pollutant in industrial workplaces. However, characterizing their chemical properties for exposure and toxicity assessments still remains a challenge. In this work, the performance of an aerosol concentrator (Versatile Aerosol Concentration Enrichment System, VACES) was assessed to simultaneously sample UFPs on filter substrates (for chemical analysis) and as liquid suspensions (for toxicity assessment), in a high UFP concentration scenario. An industrial case study was selected where metal-containing UFPs were emitted during thermal spraying of ceramic coatings. Results evidenced the comparability of the VACES system with online monitors in terms of UFP particle mass (for concentrations up to 95 µg UFP/m3) and between filters and liquid suspensions, in terms of particle composition (for concentrations up to 1000 µg/m3). This supports the applicability of this tool for UFP collection in view of chemical and toxicological characterization for incidental UFPs. In the industrial setting evaluated, results showed that the spraying temperature was a driver of fractionation of metals between UF (<0.2 µm) and fine (0.2-2.5 µm) particles. Potentially health hazardous metals (Ni, Cr) were enriched in UFPs and depleted in the fine particle fraction. Metals vaporized at high temperatures and concentrated in the UF fraction through nucleation processes. Results evidenced the need to understand incidental particle formation mechanisms due to their direct implications on particle composition and, thus, exposure. It is advisable that personal exposure and subsequent risk assessments in occupational settings should include dedicated metrics to monitor UFPs (especially, incidental).
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Affiliation(s)
- M Viana
- IDAEA-CSIC, Barcelona, Spain
| | | | - S Bezantakos
- Université du Littoral Côte d’ ‘Opale, Dunkerque, France
| | | | | | | | | | - J Boere
- RIVM, Bilthoven, The Netherlands
| | - S Fraga
- Department of Environmental Health, National Institute of Health Dr Ricardo Jorge, Porto, Portugal
- EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
| | - J P Teixeira
- Department of Environmental Health, National Institute of Health Dr Ricardo Jorge, Porto, Portugal
- EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
| | - M J Bessa
- Department of Environmental Health, National Institute of Health Dr Ricardo Jorge, Porto, Portugal
- EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
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19
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Qu S, Li K, Yang T, Yang Y, Zheng Z, Liu H, Wang X, Zhang Y, Deng S, Zhu X, Chen L, Li Y. Shenlian extract protects against ultrafine particulate matter-aggravated myocardial ischemic injury by inhibiting inflammation response via the activation of NLRP3 inflammasomes. ENVIRONMENTAL TOXICOLOGY 2021; 36:1349-1361. [PMID: 33729688 DOI: 10.1002/tox.23131] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 03/05/2021] [Accepted: 03/07/2021] [Indexed: 06/12/2023]
Abstract
Air pollution is a growing public health burden associated with several negative health effects, especially cardiovascular disease. Shenlian extract (SL), a traditional Chinese medicine, has the effects of clearing heat-toxin and promoting blood circulation for removing blood stasis, and it has long been used to treat cardiovascular diseases and atherosclerosis. This study explored the underlying action mechanism of SL against ultrafine particle-induced myocardial ischemic injury (UFP-MI) through network pharmacology prediction and experimental verification. Male Sprague-Dawley rats with UFP-MI were pre-treated with SL intragastrically for 7 days. All the rats were then euthanized. Inflammatory cytokine detection and histopathological analysis were performed to assess the protective effects of SL. For the mechanism study, differentially expressed genes (DEGs) were identified in UFP-MI rats treated with SL through transcriptomic analysis. Subsequently, in combination with network pharmacology, potential pathways involved in the effects of SL treatment were identified using the Internet-based Computation Platform (www.tcmip.cn) and Cytoscape 3.6.0. Further validation experiments were performed to reveal the mechanism of the therapeutic effects of SL on UFP-MI. The results show that SL significantly suppressed inflammatory cell infiltration into myocardial tissue and exhibited significant anti-inflammatory activity. Transcriptomic analysis revealed that the DEGs after SL treatment had significant anti-inflammatory, immunomodulatory, and anti-viral activities. Network pharmacology analysis illustrated that the targets of SL were mainly involved in regulation of the inflammatory response, apoptotic process, innate immune response, platelet activation, and coagulation process. By combining transcriptomic and network pharmacology data, we found that SL may exert anti-inflammatory effects by acting on the NOD-like signaling pathway to regulate immune response activation and inhibit systemic inflammation. Verification experiments revealed that SL can suppress the secretion of the inflammatory cytokines Interleukin-1 (IL-1), Interleukin-18(IL-18) and Interleukin-33(IL-33) and suppress NLRP3 inflammasome activity. The results suggested that SL can directly inhibit the activation of NLRP3 inflammasomes and reduce the release of cytokines to protect against ultrafine particulate matter-aggravated myocardial ischemic injury.
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Affiliation(s)
- Shuiqing Qu
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
- School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Kai Li
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ting Yang
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuanmin Yang
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhongyuzn Zheng
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Hui Liu
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
- School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xi Wang
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yu Zhang
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shuoqiu Deng
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaoxin Zhu
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lina Chen
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yujie Li
- Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
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20
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Hong SW, Park J, Jeong H, Kim M. Evaluation of the microbiome composition in particulate matter inside and outside of pig houses. JOURNAL OF ANIMAL SCIENCE AND TECHNOLOGY 2021; 63:640-650. [PMID: 34189511 PMCID: PMC8203996 DOI: 10.5187/jast.2021.e52] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 02/24/2021] [Accepted: 02/28/2021] [Indexed: 12/12/2022]
Abstract
Particulate matter (PM) produced in pig houses may contain microbes which can
spread by airborne transmission, and PM and microbes in PM adversely affect
human and animal health. To investigate the microbiome in PM from pig houses,
nine PM samples were collected in summer 2020 inside and outside of pig houses
located in Jangseong-gun, Jeollanam-do Province, Korea, comprising three PM
samples from within a nursery pig house (I-NPH), three samples from within a
finishing pig house (I-FPH), and three samples from outside of the pig houses
(O-PH). Microbiomes were analyzed using 16S rRNA gene amplicon sequencing.
Firmicutes was the most dominant phylum and accounted for 64.8%–97.5% of
total sequences in all the samples, followed by Proteobacteria
(1.4%–21.8%) and Bacteroidetes (0.3%–13.7%). In total, 31 genera
were represented by > 0.3% of all sequences, and only
Lactobacillus, Turicibacter, and
Aerococcus differed significantly among the three PM sample
types. All three genera were more abundant in the I-FPH samples than in the O-PH
samples. Alpha diversity indices did not differ significantly among the three PM
types, and a principal coordinate analysis suggested that overall microbial
communities were similar across PM types. The concentration of PM did not
significantly differ among the three PM types, and no significant correlation of
PM concentration with the abundance of any potential pathogen was observed. The
present study demonstrates that microbial composition in PM inside and outside
of pig houses is similar, indicating that most microbe-containing PM inside pig
houses leaks to the outside from where it, along with microbe-containing PM on
the outside, may re-enter the pig houses. Our results may provide useful
insights regarding strategies to mitigate potential risk associated with pig
farming PM and pathogens in PM.
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Affiliation(s)
- Se-Woon Hong
- Department of Rural and Biosystems Engineering, Chonnam National University, Gwangju 61186, Korea.,Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture, Chonnam National University, Gwangju 61186, Korea.,AgriBio Institute of Climate Change Management, Chonnam National University, Gwangju 61186, Korea
| | - Jinseon Park
- AgriBio Institute of Climate Change Management, Chonnam National University, Gwangju 61186, Korea
| | - Hanna Jeong
- Department of Rural and Biosystems Engineering, Chonnam National University, Gwangju 61186, Korea.,Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture, Chonnam National University, Gwangju 61186, Korea
| | - Minseok Kim
- AgriBio Institute of Climate Change Management, Chonnam National University, Gwangju 61186, Korea.,Department of Animal Science, College of Agriculture and Life Sciences, Chonnam National University, Gwangju 61186, Korea
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21
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Liu T, Hui X, Zhou W, Xiao Y, Tang B, Xiao H, Lv J, Xi L, Li G. Dynamics of airborne bacterial community during biofiltration of gases from a swine house. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 740:139898. [PMID: 32927532 DOI: 10.1016/j.scitotenv.2020.139898] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 05/19/2020] [Accepted: 05/31/2020] [Indexed: 06/11/2023]
Affiliation(s)
- Tongshuai Liu
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China; College of Animal Science & Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan 450046, China; Henan Engineering Research Center on Animal Healthy Environment and Intelligent equipment, Zhengzhou, Henan 450046, China
| | - Xue Hui
- Henan Engineering Research Center on Animal Healthy Environment and Intelligent equipment, Zhengzhou, Henan 450046, China; School of Energy and Intelligence Egineering, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan 450046, China
| | - Weidong Zhou
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China.
| | - Yingping Xiao
- Institute of Quality and Standards for Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China
| | - Biao Tang
- Institute of Quality and Standards for Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China
| | - Hua Xiao
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China
| | - Jinhui Lv
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China
| | - Lei Xi
- College of Animal Science & Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan 450046, China; Henan Engineering Research Center on Animal Healthy Environment and Intelligent equipment, Zhengzhou, Henan 450046, China
| | - Guoming Li
- Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State 39762, USA
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22
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A Review on Airborne Microbes: The Characteristics of Sources, Pathogenicity and Geography. ATMOSPHERE 2020. [DOI: 10.3390/atmos11090919] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Microbes are widespread and have been much more studied in recent years. In this review, we describe detailed information on airborne microbes that commonly originate from soil and water through liquid–air and soil–air interface. The common bacteria and fungi in the atmosphere are the phyla of Firmicutes, Proteobacteria, Bacteroides, Actinobacteria, Cyanobacteria and Ascomycota, Basidiomycota, Chytridiomycota, Rozellomycota that include most pathogens leading to several health problems. In addition, the stability of microbial community structure in bioaerosols could be affected by many factors and some special weather conditions like dust events even can transport foreign pathogens to other regions, affecting human health. Such environments are common for a particular place and affect the nature and interaction of airborne microbes with them. For instance, meteorological factors, haze and foggy days greatly influence the concentration and abundance of airborne microbes. However, as microorganisms in the atmosphere are attached on particulate matters (PM), the high concentration of chemical pollutants in PM tends to restrain the growth of microbes, especially gathering atmospheric pollutants in heavy haze days. Moreover, moderate haze concentration and/or common chemical components could provide suitable microenvironments and nutrition for airborne microorganism survival. In summary, the study reviews much information and characteristics of airborne microbes for further study.
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23
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de Groot LES, Liu D, Dierdorp BS, Fens N, van de Pol MA, Sterk PJ, Kulik W, Gerlofs-Nijland ME, Cassee FR, Pinelli E, Lutter R. Ex vivo innate responses to particulate matter from livestock farms in asthma patients and healthy individuals. Environ Health 2020; 19:78. [PMID: 32620109 PMCID: PMC7333268 DOI: 10.1186/s12940-020-00632-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 06/24/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Asthma patients suffer from periodic acute worsening of symptoms (i.e. loss of asthma control or exacerbations), triggered by a variety of exogenous stimuli. With the growing awareness that air pollutants impact respiratory diseases, we investigated whether particulate matter (PM) derived from various livestock farms (BioPM) differentially affected innate and oxidative stress responses in asthma and health. METHODS Peripheral blood mononuclear cells (PBMCs), collected from patients sequentially before and during loss of asthma control and from healthy individuals, were exposed to BioPM collected from chicken, goat and pig farms (1 and 5 μg/ml), with or without pre-treatment with antioxidants. Cytokine release and oxidative stress were assessed. RESULTS PBMCs produced IFNγ, IL-1β, IL-10 and TNFα upon stimulation with BioPM, with that from pig farms inducing the highest cytokine levels. Overall, cytokine production was irrespective of the presence or state of disease. However, PBMCs from stable asthma patients upon exposure to the three BioPM showed more extreme TNFα responses than those from healthy subjects. Furthermore, PBMCs obtained during loss of asthma control that were exposed to BioPM from pig farms showed enhanced IFNγ release as well as decreased oxidative stress levels upon pre-treatment with N-acetylcysteine (NAC) compared to stable disease. NAC, but not superoxide dismutase and catalase, also counteracted BioPM-induced cytokine release, indicating the importance of intracellular reactive oxygen species in the production of cytokines. CONCLUSIONS BioPM triggered enhanced pro-inflammatory responses by PBMCs from both healthy subjects and asthma patients, with those from patients during loss of asthma control showing increased susceptibility to BioPM from pig farms in particular.
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Affiliation(s)
- Linsey E S de Groot
- Department of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
- Department of Experimental Immunology (Amsterdam Infection & Immunity Institute), Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| | - Dingyu Liu
- Centre for Sustainability, Environment and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Barbara S Dierdorp
- Department of Experimental Immunology (Amsterdam Infection & Immunity Institute), Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Niki Fens
- Department of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Marianne A van de Pol
- Department of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Peter J Sterk
- Department of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Wim Kulik
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Miriam E Gerlofs-Nijland
- Centre for Sustainability, Environment and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Flemming R Cassee
- Centre for Sustainability, Environment and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Elena Pinelli
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - René Lutter
- Department of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Experimental Immunology (Amsterdam Infection & Immunity Institute), Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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24
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Liu D, Wagner JG, Mariman R, Harkema JR, Gerlofs-Nijland ME, Pinelli E, Folkerts G, Cassee FR, Vandebriel RJ. Airborne particulate matter from goat farm increases acute allergic airway responses in mice. Inhal Toxicol 2020; 32:265-277. [PMID: 32571132 DOI: 10.1080/08958378.2020.1781986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Background: Inhalation exposure to biological particulate matter (BioPM) from livestock farms may provoke exacerbations in subjects suffering from allergy and asthma. The aim of this study was to use a murine model of allergic asthma to determine the effect of BioPM derived from goat farm on airway allergic responses.Methods: Fine (<2.5 μm) BioPM was collected from an indoor goat stable. Female BALB/c mice were ovalbumin (OVA) sensitized and challenged with OVA or saline as control. The OVA and saline groups were divided in sub-groups and exposed intranasally to different concentrations (0, 0.9, 3, or 9 μg) of goat farm BioPM. Bronchoalveolar lavage fluid (BALF), blood and lung tissues were collected.Results: In saline-challenged mice, goat farm BioPM induced 1) a dose-dependent increase in neutrophils in BALF and 2) production of macrophage inflammatory protein-3a. In OVA-challenged mice, BioPM induced 1) inflammatory cells in BALF, 2) OVA-specific Immunoglobulin (Ig)G1, 3) airway mucus secretion-specific gene expression. RNAseq analysis of lungs indicates that neutrophil chemotaxis and oxidation-reduction processes were the representative genomic pathways in saline and OVA-challenged mice, respectively.Conclusions: A single exposure to goat farm BioPM enhanced airway inflammation in both saline and OVA-challenged allergic mice, with neutrophilic response as Th17 disorder and eosinophilic response as Th2 disorder indicative of the severity of allergic responses. Identification of the mode of action by which farm PM interacts with airway allergic pathways will be useful to design potential therapeutic approaches.
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Affiliation(s)
- Dingyu Liu
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - James G Wagner
- College of Veterinary Medicine, Department of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, USA
| | - Rob Mariman
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Jack R Harkema
- College of Veterinary Medicine, Department of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, USA
| | | | - Elena Pinelli
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Gert Folkerts
- Department of Pharmacology and Pathophysiology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Flemming R Cassee
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Rob J Vandebriel
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
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25
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Liu D, Wagner JG, Harkema JR, Gerlofs-Nijland ME, Pinelli E, Folkerts G, Vandebriel RJ, Cassee FR. Livestock farm particulate matter enhances airway inflammation in mice with or without allergic airway disease. World Allergy Organ J 2020; 13:100114. [PMID: 32256941 PMCID: PMC7132261 DOI: 10.1016/j.waojou.2020.100114] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 02/17/2020] [Accepted: 03/02/2020] [Indexed: 01/21/2023] Open
Abstract
Effects of airborne biological particulate matter (BioPM; from livestock farms) on the pulmonary airways are not well studied. The aim of the present study was to investigate whether fine (<2.5 μm) BioPM derived from indoor animal stables (two chicken and two pig farms) could modify airway allergic responses by using a mouse model of allergic airway disease (allergic asthma). After intraperitoneal ovalbumin (OVA) sensitization mice were either intranasally challenged with OVA (allergic mice) or saline (non-allergic controls). Mice were also intranasally treated with farm-derived BioPM. Bronchoalveolar lavage fluid (BALF), blood and lung tissues were collected one day after intranasal exposure. BioPM from all the farms caused an acute neutrophilic inflammatory response in non-allergic mice. In allergic mice, BioPM derived from pig farm 2 induced a larger cellular inflammatory response than other farm-derived BioPM. All farm BioPM elicited Th17 cytokine (Interleukin (IL)-23) production except chicken farm 2, whereas Th2 cytokine (IL-5) increase was only induced by BioPM collected from chicken farm 2. These results indicate the exposure of BioPM from chicken and pig farms may cause the enhancement of airway allergic response in mice following exposure to OVA. More variation in the responses between farms was observed in allergic than non-allergic mice. Understanding the source and doses of BioPM that may affect the airway allergic response could help susceptible individuals to avoid worsening their respiratory diseases.
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Affiliation(s)
- Dingyu Liu
- National Institute for Public Health and the Environment, Bilthoven, 3720 BA, the Netherlands.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, 3508 TC, the Netherlands
| | - James G Wagner
- Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, MI 48824, USA
| | - Jack R Harkema
- Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, MI 48824, USA
| | | | - Elena Pinelli
- National Institute for Public Health and the Environment, Bilthoven, 3720 BA, the Netherlands
| | - Gert Folkerts
- Department of Pharmacology and Pathophysiology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, 3508 TC, the Netherlands
| | - Rob J Vandebriel
- National Institute for Public Health and the Environment, Bilthoven, 3720 BA, the Netherlands
| | - Flemming R Cassee
- National Institute for Public Health and the Environment, Bilthoven, 3720 BA, the Netherlands.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, 3508 TC, the Netherlands
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