1
|
Cornu Hewitt B, Smit LAM, van Kersen W, Wouters IM, Heederik DJJ, Kerckhoffs J, Hoek G, de Rooij MMT. Residential exposure to microbial emissions from livestock farms: Implementation and evaluation of land use regression and random forest spatial models. Environ Pollut 2024; 346:123590. [PMID: 38387543 DOI: 10.1016/j.envpol.2024.123590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 01/10/2024] [Accepted: 02/14/2024] [Indexed: 02/24/2024]
Abstract
Adverse health effects have been linked with exposure to livestock farms, likely due to airborne microbial agents. Accurate exposure assessment is crucial in epidemiological studies, however limited studies have modelled bioaerosols. This study used measured concentrations in air of livestock commensals (Escherichia coli (E. coli) and Staphylococcus species (spp.)), and antimicrobial resistance genes (tetW and mecA) at 61 residential sites in a livestock-dense region in the Netherlands. For each microbial agent, land use regression (LUR) and random forest (RF) models were developed using Geographic Information System (GIS)-derived livestock-related characteristics as predictors. The mean and standard deviation of annual average concentrations (gene copies/m3) of E. coli, Staphylococcus spp., tetW and mecA were as follows: 38.9 (±1.98), 2574 (±3.29), 20991 (±2.11), and 15.9 (±2.58). Validated through 10-fold cross-validation (CV), the models moderately explained spatial variation of all microbial agents. The best performing model per agent explained respectively 38.4%, 20.9%, 33.3% and 27.4% of the spatial variation of E. coli, Staphylococcus spp., tetW and mecA. RF models had somewhat better performance than LUR models. Livestock predictors related to poultry and pig farms dominated all models. To conclude, the models developed enable enhanced estimates of airborne livestock-related microbial exposure in future epidemiological studies. Consequently, this will provide valuable insights into the public health implications of exposure to specific microbial agents.
Collapse
Affiliation(s)
- Beatrice Cornu Hewitt
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands.
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Warner van Kersen
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Dick J J Heederik
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Jules Kerckhoffs
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Myrna M T de Rooij
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| |
Collapse
|
2
|
de Rooij MMT, Erbrink HJ, Smit LAM, Wouters IM, Hoek G, Heederik DJJ. Short-term residential exposure to endotoxin emitted from livestock farms in relation to lung function in non-farming residents. Environ Res 2024; 243:117821. [PMID: 38072102 DOI: 10.1016/j.envres.2023.117821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 02/06/2024]
Abstract
BACKGROUND Evidence on the public health relevance of exposure to livestock farm emissions is increasing. Research mostly focused on chemical air pollution, less on microbial exposure, while endotoxins are suggested relevant bacterial components in farm emissions. Acute respiratory health effects of short-term exposure to livestock-related air pollution has been shown for NH3 and PM10, but has not yet been studied for endotoxin. We aimed to assess associations between lung function and short-term exposure to livestock farming emitted endotoxin in co-pollutant models with NH3 and PM10. METHODS In 2014/2015, spirometry was conducted in 2308 non-farming residents living in a rural area in the Netherlands. Residential exposure to livestock farming emitted endotoxin during the week prior to spirometry was estimated by dispersion modelling. The model was applied to geo-located individual barns within 10 km of each home address using provincial farm data and local hourly meteorological conditions. Regional week-average measured concentrations of NH3 and PM10 were obtained through monitoring stations. Lung function parameters (FEV1, FVC, FEV1/FVC, MMEF) were expressed in %-predicted value based on GLI-2012. Exposure-response analyses were performed by linear regression modelling. RESULTS Week-average endotoxin exposure was negatively associated with FVC, independently from regional NH3 and PM10 exposure. A 1.1% decline in FVC was estimated for an increase of endotoxin exposure from 10th to 90th percentile. Stratified analyses showed a larger decline (3.2%) for participants with current asthma and/or COPD. FEV1 was negatively associated with week-average endotoxin exposure, but less consistent after co-pollutant adjustment. FEV1/FVC and MMEF were not associated with week-average endotoxin exposure. CONCLUSIONS Lower lung function in non-farming residents was observed in relation to short-term residential exposure to livestock farming emitted endotoxin. This study indicates the probable relevance of exposure to microbial emissions from livestock farms considering public health besides chemical air pollution, necessitating future research incorporating both.
Collapse
Affiliation(s)
- Myrna M T de Rooij
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | | | - Lidwien A M Smit
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Dick J J Heederik
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| |
Collapse
|
3
|
Perricone V, Schokker D, Bossers A, de Bruijn A, Kar SK, Te Pas MFW, Rebel JMJ, Wouters IM, de Jong IC. Dietary strategies can increase cloacal endotoxin levels and modulate the resident microbiota in broiler chickens. Poult Sci 2024; 103:103312. [PMID: 38100944 PMCID: PMC10762469 DOI: 10.1016/j.psj.2023.103312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 12/17/2023] Open
Abstract
Endotoxins released from poultry feces have been associated with impaired human health. Because endotoxins are released from gram-negative intestinal bacteria, it was hypothesized that dietary strategies may influence endotoxin excretion via modulation of gut microbiota. We therefore tested dietary strategies that could potentially reduce cloacal endotoxin levels in broiler chickens. One-day-old male Ross 308 (N = 1,344) broilers were housed in 48 pens (N = 8 pens/treatment, 28 chickens per pen) and fed 1 of 6 diets for 35 days (d) in a 3-phase feeding program: a basic diet (CON) that served as the reference diet, or basic diet supplemented with butyrate (BUT), inulin (INU), medium-chain fatty acids (MCFA) or Original XPC™LS (XPC), or a high-fiber-low-protein (HF-LP) diet. A significant (P < 0.05) increase in cloacal endotoxin concentration at d 35 was observed in BUT as compared to CON. Analysis of cloacal microbiota showed a trend (P < 0.07) for a higher gram-negative/gram-positive ratio and for a higher relative abundance of gram-negative bacteria at d 35 (P ≤ 0.08) in BUT and HF-LP as compared to CON. A significant (P < 0.05) increase in average daily gain (ADG) and improved feed conversion ratio (P < 0.05) were observed in MCFA during the grower phase (d 14-28), and a significant (P < 0.05) increase in average daily feed intake (ADFI) was observed in MCFA during d 0 to 28. Broilers fed HF-LP had a significantly (P < 0.05) higher FCR and lower ADG throughout the rearing period. No treatment effects were found on footpad dermatitis, but BUT had worst hock burn scores at d 35 (P < 0.01) and MCFA had worst cleanliness scores at d 21 but not at d 35 (treatment*age P < 0.05), while INU had better cleanliness as compared to CON at d 35 (P < 0.05). In conclusion, especially BUT and HF-LP were able to modulate resident microbiota and BUT also increased cloacal endotoxin levels, which was opposite to our hypothesis. The present study indicates that cloacal endotoxin release can be affected by the diet but further study is needed to find dietary treatments that can reduce cloacal endotoxin release.
Collapse
Affiliation(s)
- Vera Perricone
- Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, the Netherlands
| | - Dirkjan Schokker
- Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, the Netherlands; Wageningen Bioveterinary Research, Wageningen University and Research, 8221 RA Lelystad, the Netherlands
| | - Alex Bossers
- Wageningen Bioveterinary Research, Wageningen University and Research, 8221 RA Lelystad, the Netherlands; Institute for Risk Assessment Sciences (IRAS), Utrecht University, 3508 TD Utrecht, the Netherlands
| | - Anne de Bruijn
- Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, the Netherlands
| | - Soumya K Kar
- Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, the Netherlands
| | - Marinus F W Te Pas
- Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, the Netherlands
| | - Johanna M J Rebel
- Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, the Netherlands; Wageningen Bioveterinary Research, Wageningen University and Research, 8221 RA Lelystad, the Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, 3508 TD Utrecht, the Netherlands
| | - Ingrid C de Jong
- Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, the Netherlands.
| |
Collapse
|
4
|
Rittscher AE, Vlasblom AA, Duim B, Scherpenisse P, van Schothorst IJ, Wouters IM, Van Gompel L, Smit LAM. A comparison of passive and active dust sampling methods for measuring airborne methicillin-resistant Staphylococcus aureus in pig farms. Ann Work Expo Health 2023; 67:1004-1010. [PMID: 37300560 PMCID: PMC10516621 DOI: 10.1093/annweh/wxad033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
Methicillin-resistant strains of Staphylococcus aureus (MRSA) are resistant to most β-lactam antibiotics. Pigs are an important reservoir of livestock-associated MRSA (LA-MRSA), which is genetically distinct from both hospital and community-acquired MRSA. Occupational exposure to pigs on farms can lead to LA-MRSA carriage by workers. There is a growing body of research on MRSA found in the farm environment, the airborne route of transmission, and its implication on human health. This study aims to directly compare two sampling methods used to measure airborne MRSA in the farm environment; passive dust sampling with electrostatic dust fall collectors (EDCs), and active inhalable dust sampling using stationary air pumps with Gesamtstaubprobenahme (GSP) sampling heads containing Teflon filters. Paired dust samples using EDCs and GSP samplers, totaling 87 samples, were taken from 7 Dutch pig farms, in multiple compartments housing pigs of varying ages. Total nucleic acids of both types of dust samples were extracted and targets indicating MRSA (femA, nuc, mecA) and total bacterial count (16S rRNA) were quantified using quantitative real-time PCRs. MRSA could be measured from all GSP samples and in 94% of the EDCs, additionally MRSA was present on every farm sampled. There was a strong positive relationship between the paired MRSA levels found in EDCs and those measured on filters (Normalized by 16S rRNA; Pearson's correlation coefficient r = 0.94, Not Normalized; Pearson's correlation coefficient r = 0.84). This study suggests that EDCs can be used as an affordable and easily standardized method for quantifying airborne MRSA levels in the pig farm setting.
Collapse
Affiliation(s)
- Anne E Rittscher
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Abel A Vlasblom
- Department of Infectious Diseases and Immunology (I&I), Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, 3584 CL, Utrecht, The Netherlands
| | - Birgitta Duim
- Department of Infectious Diseases and Immunology (I&I), Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, 3584 CL, Utrecht, The Netherlands
| | - Peter Scherpenisse
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Isabella J van Schothorst
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Liese Van Gompel
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| |
Collapse
|
5
|
Amin H, Šantl-Temkiv T, Cramer C, Finster K, Real FG, Gislason T, Holm M, Janson C, Jögi NO, Jogi R, Malinovschi A, Marshall IPG, Modig L, Norbäck D, Shigdel R, Sigsgaard T, Svanes C, Thorarinsdottir H, Wouters IM, Schlünssen V, Bertelsen RJ. Indoor Airborne Microbiome and Endotoxin: Meteorological Events and Occupant Characteristics Are Important Determinants. Environ Sci Technol 2023; 57:11750-11766. [PMID: 37523308 PMCID: PMC10433529 DOI: 10.1021/acs.est.3c01616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/13/2023] [Accepted: 07/13/2023] [Indexed: 08/02/2023]
Abstract
Airborne bacteria and endotoxin may affect asthma and allergies. However, there is limited understanding of the environmental determinants that influence them. This study investigated the airborne microbiomes in the homes of 1038 participants from five cities in Northern Europe: Aarhus, Bergen, Reykjavik, Tartu, and Uppsala. Airborne dust particles were sampled with electrostatic dust fall collectors (EDCs) from the participants' bedrooms. The dust washed from the EDCs' clothes was used to extract DNA and endotoxin. The DNA extracts were used for quantitative polymerase chain (qPCR) measurement and 16S rRNA gene sequencing, while endotoxin was measured using the kinetic chromogenic limulus amoebocyte lysate (LAL) assay. The results showed that households in Tartu and Aarhus had a higher bacterial load and diversity than those in Bergen and Reykjavik, possibly due to elevated concentrations of outdoor bacterial taxa associated with low precipitation and high wind speeds. Bergen-Tartu had the highest difference (ANOSIM R = 0.203) in β diversity. Multivariate regression models showed that α diversity indices and bacterial and endotoxin loads were positively associated with the occupants' age, number of occupants, cleaning frequency, presence of dogs, and age of the house. Further studies are needed to understand how meteorological factors influence the indoor bacterial community in light of climate change.
Collapse
Affiliation(s)
- Hesham Amin
- Department
of Clinical Science, University of Bergen, 5021 Bergen, Norway
| | - Tina Šantl-Temkiv
- Section
for Microbiology, Department of Biology, Aarhus University, 8000 Aarhus, Denmark
| | - Christine Cramer
- Department
of Public Health, Environment, Work and Health, Danish Ramazzini Center, Aarhus University, 8000 Aarhus, Denmark
- Department
of Occupational Medicine, Danish Ramazzini Center, Aarhus University Hospital, 8200 Aarhus, Denmark
| | - Kai Finster
- Section
for Microbiology, Department of Biology, Aarhus University, 8000 Aarhus, Denmark
| | | | | | - Mathias Holm
- Department
of Occupational and Environmental Medicine, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Christer Janson
- Department
of Medical Sciences: Respiratory, Allergy, Sleep Research, Uppsala University, 751 85 Uppsala, Sweden
- Department
of Medical Sciences: Clinical Physiology, Uppsala University, 751
85 Uppsala, Sweden
| | - Nils Oskar Jögi
- Department
of Clinical Science, University of Bergen, 5021 Bergen, Norway
| | - Rain Jogi
- Tartu
University Hospital, Lung Clinic, 50406 Tartu, Estonia
| | - Andrei Malinovschi
- Department
of Medical Sciences: Clinical Physiology, Uppsala University, 751
85 Uppsala, Sweden
| | - Ian P. G. Marshall
- Section
for Microbiology, Department of Biology, Aarhus University, 8000 Aarhus, Denmark
| | - Lars Modig
- Division
of Occupational and Environmental Medicine, Department of Public Health
and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden
| | - Dan Norbäck
- Department of Medical
Sciences, Occupational and Environmental Medicine, Uppsala University, 751
85 Uppsala, Sweden
| | - Rajesh Shigdel
- Department
of Clinical Science, University of Bergen, 5021 Bergen, Norway
| | - Torben Sigsgaard
- Department
of Public Health, Environment, Work and Health, Danish Ramazzini Center, Aarhus University, 8000 Aarhus, Denmark
| | - Cecilie Svanes
- Department of Occupational Medicine, Haukeland
University Hospital, 5053 Bergen, Norway
- Centre for International Health, University
of Bergen Department of Global Public Health and Primary Care, 5009 Bergen, Norway
| | - Hulda Thorarinsdottir
- Department of Anesthesia
and Intensive Care, Landspitali University
Hospital, 101 Reykjavik, Iceland
| | - Inge M. Wouters
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584 CS Utrecht, The Netherlands
| | - Vivi Schlünssen
- Department
of Public Health, Environment, Work and Health, Danish Ramazzini Center, Aarhus University, 8000 Aarhus, Denmark
| | - Randi J. Bertelsen
- Department
of Clinical Science, University of Bergen, 5021 Bergen, Norway
| |
Collapse
|
6
|
Jonker L, Linde KJ, de Boer AR, Ding E, Zhang D, de Hoog MLA, Herfst S, Heederik DJJ, Fraaij PLA, Bluyssen PM, Wouters IM, Bruijning-Verhagen PCJL. SARS-CoV-2 incidence in secondary schools; the role of national and school-initiated COVID-19 measures. BMC Public Health 2023; 23:1243. [PMID: 37370045 DOI: 10.1186/s12889-023-16146-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
INTRODUCTION Our aim was to gain insight into the effect of COVID-19 measures on SARS-CoV-2 incidence in secondary schools and the association with classroom CO2 concentration and airborne contamination. METHODS Between October 2020-June 2021, 18 schools weekly reported SARS-CoV-2 incidence and completed surveys on school-initiated COVID-19 measures (e.g. improving hygiene or minimizing contacts). CO2 was measured in occupied classrooms twice, and SARS-CoV-2 air contamination longitudinally using electrostatic dust collectors (EDC) and analyzed using RT-qPCR. National COVID-19 policy measures varied during pre-lockdown, lockdown and post-lockdown periods. During the entire study, schools were recommended to improve ventilation. SARS-CoV-2 incidence rate ratios (IRR) were estimated by Generalized Estimating Equation (GEE) models. RESULTS During 18 weeks follow-up (range: 10-22) SARS-CoV-2 school-incidence decreased during national lockdown (adjusted IRR: 0.41, 95%CI: 0.21-0.80) and post-lockdown (IRR: 0.60, 0.39-0.93) compared to pre-lockdown. School-initiated COVID-19 measures had no additional effect. Pre-lockdown, IRRs per 10% increase in time CO2 exceeded 400, 550 and 800 ppm above outdoor level respectively, were 1.08 (1.00-1.16), 1.10 (1.02-1.19), and 1.08 (0.95-1.22). Post-lockdown, CO2-concentrations were considerably lower and not associated with SARS-CoV-2 incidence. No SARS-CoV-2 RNA was detected in any of the EDC samples. CONCLUSION During a period with low SARS-CoV-2 population immunity and increased attention to ventilation, with CO2 levels most of the time below acceptable thresholds, only the national policy during and post-lockdown of reduced class-occupancy, stringent quarantine, and contact testing reduced SARS-CoV-2 incidence in Dutch secondary schools. Widespread SARS-CoV-2 air contamination could not be demonstrated in schools under the prevailing conditions during the study.
Collapse
Affiliation(s)
- L Jonker
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - K J Linde
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
| | - A R de Boer
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands.
| | - E Ding
- Faculty of Architecture and the Built Environment, Delft University of Technology, Julianalaan 134, 2628 BL, Delft, the Netherlands
| | - D Zhang
- Faculty of Architecture and the Built Environment, Delft University of Technology, Julianalaan 134, 2628 BL, Delft, the Netherlands
| | - M L A de Hoog
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - S Herfst
- Department of Viroscience, Erasmus MC, Dr. Molewaterplein 50, 3015 GE, 3000 CA, Rotterdam, Netherlands
| | - D J J Heederik
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
| | - P L A Fraaij
- Department of Viroscience, Erasmus MC, Dr. Molewaterplein 50, 3015 GE, 3000 CA, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, Dr. Molewaterplein 50, 3015 GE, 3000 CA, Rotterdam, Netherlands
| | - P M Bluyssen
- Faculty of Architecture and the Built Environment, Delft University of Technology, Julianalaan 134, 2628 BL, Delft, the Netherlands
| | - I M Wouters
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
| | - P C J L Bruijning-Verhagen
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| |
Collapse
|
7
|
Marcato F, Rebel JMJ, Kar SK, Wouters IM, Schokker D, Bossers A, Harders F, van Riel JW, Wolthuis-Fillerup M, de Jong IC. Host genotype affects endotoxin release in excreta of broilers at slaughter age. Front Genet 2023; 14:1202135. [PMID: 37359374 PMCID: PMC10285083 DOI: 10.3389/fgene.2023.1202135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 05/25/2023] [Indexed: 06/28/2023] Open
Abstract
Host genotype, early post-hatch feeding, and pre- and probiotics are factors known to modulate the gut microbiome. However, there is a knowledge gap on the effect of both chicken genotype and these dietary strategies and their interplay on fecal microbiome composition and diversity, which, in turn, can affect the release of endotoxins in the excreta of broilers. Endotoxins are a major concern as they can be harmful to both animal and human health. The main goal of the current study was to investigate whether it was possible to modulate the fecal microbiome, thereby reducing endotoxin concentrations in the excreta of broiler chickens. An experiment was carried out with a 2 × 2 × 2 factorial arrangement including the following three factors: 1) genetic strain (fast-growing Ross 308 vs. slower growing Hubbard JA757); 2) no vs. combined use of probiotics and prebiotics in the diet and drinking water; and 3) early feeding at the hatchery vs. non-early feeding. A total of 624 Ross 308 and 624 Hubbard JA757 day-old male broiler chickens were included until d 37 and d 51 of age, respectively. Broilers (N = 26 chicks/pen) were housed in a total of 48 pens, and there were six replicate pens/treatment groups. Pooled cloacal swabs (N = 10 chickens/pen) for microbiome and endotoxin analyses were collected at a target body weight (BW) of 200 g, 1 kg, and 2.5 kg. Endotoxin concentration significantly increased with age (p = 0.01). At a target BW of 2.5 kg, Ross 308 chickens produced a considerably higher amount of endotoxins (Δ = 552.5 EU/mL) than the Hubbard JA757 chickens (p < 0.01). A significant difference in the Shannon index was observed for the interaction between the use of prebiotics and probiotics, and host genotype (p = 0.02), where Ross 308 chickens with pre-/probiotics had lower diversity than Hubbard JA757 chickens with pre-/probiotics. Early feeding did not affect both the fecal microbiome and endotoxin release. Overall, the results suggest that the chicken genetic strain may be an important factor to take into account regarding fecal endotoxin release, although this needs to be further investigated under commercial conditions.
Collapse
Affiliation(s)
- F Marcato
- Wageningen Livestock Research, Wageningen University and Research, Wageningen, Netherlands
| | - J M J Rebel
- Wageningen Bioveterinary Research, Lelystad, Netherlands
| | - S K Kar
- Wageningen Livestock Research, Wageningen University and Research, Wageningen, Netherlands
| | - I M Wouters
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - D Schokker
- Wageningen Bioveterinary Research, Lelystad, Netherlands
| | - A Bossers
- Wageningen Bioveterinary Research, Lelystad, Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - F Harders
- Wageningen Bioveterinary Research, Lelystad, Netherlands
| | - J W van Riel
- Wageningen Livestock Research, Wageningen University and Research, Wageningen, Netherlands
| | - M Wolthuis-Fillerup
- Wageningen Livestock Research, Wageningen University and Research, Wageningen, Netherlands
| | - I C de Jong
- Wageningen Livestock Research, Wageningen University and Research, Wageningen, Netherlands
| |
Collapse
|
8
|
Fakunle AG, Jafta N, Bossers A, Wouters IM, Kersen WV, Naidoo RN, Smit LAM. Childhood lower respiratory tract infections linked to residential airborne bacterial and fungal microbiota. Environ Res 2023; 231:116063. [PMID: 37156352 DOI: 10.1016/j.envres.2023.116063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/19/2023] [Accepted: 05/04/2023] [Indexed: 05/10/2023]
Abstract
Residential microbial composition likely contributes to the development of lower respiratory tract infections (LRTI) among children, but the association is poorly understood. We aimed to study the relationship between the indoor airborne dust bacterial and fungal microbiota and childhood LRTI in Ibadan, Nigeria. Ninety-eight children under the age of five years hospitalized with LRTI were recruited and matched by age (±3 months), sex, and geographical location to 99 community-based controls without LRTI. Participants' homes were visited and sampled over a 14-day period for airborne house dust using electrostatic dustfall collectors (EDC). In airborne dust samples, the composition of bacterial and fungal communities was characterized by a meta-barcoding approach using amplicons targeting simultaneously the bacterial 16S rRNA gene and the internal-transcribed-spacer (ITS) region-1 of fungi in association with the SILVA and UNITE database respectively. A 100-unit change in house dust bacterial, but not fungal, richness (OR 1.06; 95%CI 1.03-1.10) and a 1-unit change in Shannon diversity (OR 1.92; 95%CI 1.28-3.01) were both independently associated with childhood LRTI after adjusting for other indoor environmental risk factors. Beta-diversity analysis showed that bacterial (PERMANOVA p < 0.001, R2 = 0.036) and fungal (PERMANOVA p < 0.001, R2 = 0.028) community composition differed significantly between homes of cases and controls. Pair-wise differential abundance analysis using both DESEq2 and MaAsLin2 consistently identified the bacterial phyla Deinococcota (Benjamini-Hochberg (BH) adjusted p-value <0.001) and Bacteriodota (BH-adjusted p-value = 0.004) to be negatively associated with LRTI. Within the fungal microbiota, phylum Ascomycota abundance (BH adjusted p-value <0.001) was observed to be directly associated with LRTI, while Basidiomycota abundance (BH adjusted p-value <0.001) was negatively associated with LRTI. Our study suggests that early-life exposure to certain airborne bacterial and fungal communities is associated with LRTI among children under the age of five years.
Collapse
Affiliation(s)
- Adekunle G Fakunle
- Discipline of Occupational and Environmental Health, University of KwaZulu-Natal, 321 George Campbell Building Howard College Campus, Durban, 4041, South Africa; Department of Public Health, Osun State University, Osogbo, Nigeria.
| | - Nkosana Jafta
- Discipline of Occupational and Environmental Health, University of KwaZulu-Natal, 321 George Campbell Building Howard College Campus, Durban, 4041, South Africa
| | - Alex Bossers
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Netherlands
| | - Warner van Kersen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Netherlands
| | - Rajen N Naidoo
- Discipline of Occupational and Environmental Health, University of KwaZulu-Natal, 321 George Campbell Building Howard College Campus, Durban, 4041, South Africa
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Netherlands
| |
Collapse
|
9
|
Ding E, Zhang D, Hamida A, García-Sánchez C, Jonker L, de Boer AR, Bruijning PCJL, Linde KJ, Wouters IM, Bluyssen PM. Ventilation and thermal conditions in secondary schools in the Netherlands: Effects of COVID-19 pandemic control and prevention measures. Build Environ 2023; 229:109922. [PMID: 36575741 PMCID: PMC9779948 DOI: 10.1016/j.buildenv.2022.109922] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 06/17/2023]
Abstract
During the COVID-19 pandemic, the importance of ventilation was widely stressed and new protocols of ventilation were implemented in school buildings worldwide. In the Netherlands, schools were recommended to keep the windows and doors open, and after a national lockdown more stringent measures such as reduction of occupancy were introduced. In this study, the actual effects of such measures on ventilation and thermal conditions were investigated in 31 classrooms of 11 Dutch secondary schools, by monitoring the indoor and outdoor CO2 concentration and air temperature, both before and after the lockdown. Ventilation rates were calculated using the steady-state method. Pre-lockdown, with an average occupancy of 17 students, in 42% of the classrooms the CO2 concentration exceeded the upper limit of the Dutch national guidelines (800 ppm above outdoors), while 13% had a ventilation rate per person (VRp) lower than the minimum requirement (6 l/s/p). Post-lockdown, the indoor CO2 concentration decreased significantly while for ventilation rates significant increase was only found in VRp, mainly caused by the decrease in occupancy (average 10 students). The total ventilation rate per classrooms, mainly induced by opening windows and doors, did not change significantly. Meanwhile, according to the Dutch national guidelines, thermal conditions in the classrooms were not satisfying, both pre- and post-lockdown. While opening windows and doors cannot achieve the required indoor environmental quality at all times, reducing occupancy might not be feasible for immediate implementation. Hence, more controllable and flexible ways for improving indoor air quality and thermal comfort in classrooms are needed.
Collapse
Affiliation(s)
- Er Ding
- Chair Indoor Environment, Faculty of Architecture and the Built Environment, Delft University of Technology, Delft, the Netherlands
| | - Dadi Zhang
- Chair Indoor Environment, Faculty of Architecture and the Built Environment, Delft University of Technology, Delft, the Netherlands
| | - Amneh Hamida
- Chair Indoor Environment, Faculty of Architecture and the Built Environment, Delft University of Technology, Delft, the Netherlands
| | - Clara García-Sánchez
- 3D Geoinformation Research Group, Faculty of Architecture and the Built Environment, Delft University of Technology, Delft, the Netherlands
| | - Lotte Jonker
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Annemarijn R de Boer
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Patricia C J L Bruijning
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Kimberly J Linde
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Philomena M Bluyssen
- Chair Indoor Environment, Faculty of Architecture and the Built Environment, Delft University of Technology, Delft, the Netherlands
| |
Collapse
|
10
|
Amin H, Marshall IPG, Bertelsen RJ, Wouters IM, Schlünssen V, Sigsgaard T, Šantl-Temkiv T. Optimization of bacterial DNA and endotoxin extraction from settled airborne dust. Sci Total Environ 2023; 857:159455. [PMID: 36252657 DOI: 10.1016/j.scitotenv.2022.159455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 10/03/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Collecting and obtaining sufficient amount of airborne particles for multiple microbial component assessments can be challenging. A passive dust sampling device, the electrostatic dust fall collector (EDC) has been established for assessing airborne exposures including endotoxin and glucans. Recently, with advances in next-generation sequencing techniques, EDCs were used to collect microbial cells for DNA sequencing analysis to promote the study of airborne bacterial and fungal communities. However, low DNA yields have been problematic when employing passive sampling with EDC. To address this challenge, we attempted to increase the efficiency of extraction. We compared DNA extraction efficiency of bacterial components from EDCs captured on filters through filtration using five extraction techniques. By measuring the abundance, diversity and structure of bacterial communities using qPCR and amplicon sequencing targeting 16S rRNA genes, we found that two techniques outperformed the rest. Furthermore, we developed protocols to simultaneously extract both DNA and endotoxin from a single EDC cloth. Our technique promotes a high quality to price ratio and may be employed in large epidemiological studies addressing airborne bacterial exposure where a large number of samples is needed.
Collapse
Affiliation(s)
- Hesham Amin
- Department of Clinical Science, University of Bergen, Bergen, Norway.
| | - Ian P G Marshall
- Section for Microbiology, Department of Biology, Aarhus University, Aarhus, Denmark
| | - Randi J Bertelsen
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Vivi Schlünssen
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Torben Sigsgaard
- Department of Public Health, Environment, Work and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Tina Šantl-Temkiv
- Section for Microbiology, Department of Biology, Aarhus University, Aarhus, Denmark
| |
Collapse
|
11
|
Jonker L, Linde KJ, de Hoog MLA, Sprado R, Huisman RC, Molenkamp R, Oude Munnink BB, Dohmen W, Heederik DJJ, Eggink D, Welkers MRA, Vennema H, Fraaij PLA, Koopmans MPG, Wouters IM, Bruijning-Verhagen PCJL. SARS-CoV-2 outbreaks in secondary school settings in the Netherlands during fall 2020; silent circulation. BMC Infect Dis 2022; 22:960. [PMID: 36572861 PMCID: PMC9791966 DOI: 10.1186/s12879-022-07904-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/29/2022] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND In fall 2020 when schools in the Netherlands operated under a limited set of COVID-19 measures, we conducted outbreaks studies in four secondary schools to gain insight in the level of school transmission and the role of SARS-CoV-2 transmission via air and surfaces. METHODS Outbreak studies were performed between 11 November and 15 December 2020 when the wild-type variant of SARS-CoV-2 was dominant. Clusters of SARS-CoV-2 infections within schools were identified through a prospective school surveillance study. All school contacts of cluster cases, irrespective of symptoms, were invited for PCR testing twice within 48 h and 4-7 days later. Combined NTS and saliva samples were collected at each time point along with data on recent exposure and symptoms. Surface and active air samples were collected in the school environment. All samples were PCR-tested and sequenced when possible. RESULTS Out of 263 sampled school contacts, 24 tested SARS-CoV-2 positive (secondary attack rate 9.1%), of which 62% remained asymptomatic and 42% had a weakly positive test result. Phylogenetic analysis on 12 subjects from 2 schools indicated a cluster of 8 and 2 secondary cases, respectively, but also other distinct strains within outbreaks. Of 51 collected air and 53 surface samples, none were SARS-CoV-2 positive. CONCLUSION Our study confirmed within school SARS-CoV-2 transmission and substantial silent circulation, but also multiple introductions in some cases. Absence of air or surface contamination suggests environmental contamination is not widespread during school outbreaks.
Collapse
Affiliation(s)
- Lotte Jonker
- grid.7692.a0000000090126352Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands
| | - Kimberly J. Linde
- grid.5477.10000000120346234Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Marieke L. A. de Hoog
- grid.7692.a0000000090126352Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands
| | - Robin Sprado
- grid.7692.a0000000090126352Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands
| | - Robin C. Huisman
- grid.5645.2000000040459992XDepartment of Viroscience, Erasmus Medical Center, Dr. Molewaterplein 50, 3015 GD Rotterdam, The Netherlands
| | - Richard Molenkamp
- grid.5645.2000000040459992XDepartment of Viroscience, Erasmus Medical Center, Dr. Molewaterplein 50, 3015 GD Rotterdam, The Netherlands
| | - Bas B. Oude Munnink
- grid.5645.2000000040459992XDepartment of Viroscience, Erasmus Medical Center, Dr. Molewaterplein 50, 3015 GD Rotterdam, The Netherlands
| | - Wietske Dohmen
- grid.5477.10000000120346234Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Dick J. J. Heederik
- grid.5477.10000000120346234Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Dirk Eggink
- grid.31147.300000 0001 2208 0118Center for Infectious Disease Control, National Institute for Public Health and the Environment, Antonie Van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Matthijs R. A. Welkers
- grid.31147.300000 0001 2208 0118Center for Infectious Disease Control, National Institute for Public Health and the Environment, Antonie Van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands ,grid.509540.d0000 0004 6880 3010Department of Medical Microbiology & Infection Prevention, Amsterdam University Medical Center, Meibergdreef 9, 1105AZ Amsterdam, The Netherlands
| | - Harry Vennema
- grid.31147.300000 0001 2208 0118Center for Infectious Disease Control, National Institute for Public Health and the Environment, Antonie Van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Pieter L. A. Fraaij
- grid.5645.2000000040459992XDepartment of Viroscience, Erasmus Medical Center, Dr. Molewaterplein 50, 3015 GD Rotterdam, The Netherlands ,grid.416135.40000 0004 0649 0805Department of Pediatrics, Subdivision Infectious Diseases and Immunology, Erasmus Medical Center-Sophia Children’s Hospital, Wytemaweg 80, 3015 CN Rotterdam, The Netherlands
| | - Marion P. G. Koopmans
- grid.5645.2000000040459992XDepartment of Viroscience, Erasmus Medical Center, Dr. Molewaterplein 50, 3015 GD Rotterdam, The Netherlands
| | - Inge M. Wouters
- grid.5477.10000000120346234Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Patricia C. J. L. Bruijning-Verhagen
- grid.7692.a0000000090126352Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands
| |
Collapse
|
12
|
Kwok KTT, de Rooij MMT, Messink AB, Wouters IM, Smit LAM, Cotten M, Heederik DJJ, Koopmans MPG, Phan MVT. Establishing farm dust as a useful viral metagenomic surveillance matrix. Sci Rep 2022; 12:16308. [PMID: 36175536 PMCID: PMC9521564 DOI: 10.1038/s41598-022-20701-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 09/16/2022] [Indexed: 11/26/2022] Open
Abstract
Farm animals may harbor viral pathogens, some with zoonotic potential which can possibly cause severe clinical outcomes in animals and humans. Documenting the viral content of dust may provide information on the potential sources and movement of viruses. Here, we describe a dust sequencing strategy that provides detailed viral sequence characterization from farm dust samples and use this method to document the virus communities from chicken farm dust samples and paired feces collected from the same broiler farms in the Netherlands. From the sequencing data, Parvoviridae and Picornaviridae were the most frequently found virus families, detected in 85-100% of all fecal and dust samples with a large genomic diversity identified from the Picornaviridae. Sequences from the Caliciviridae and Astroviridae familes were also obtained. This study provides a unique characterization of virus communities in farmed chickens and paired farm dust samples and our sequencing methodology enabled the recovery of viral genome sequences from farm dust, providing important tracking details for virus movement between livestock animals and their farm environment. This study serves as a proof of concept supporting dust sampling to be used in viral metagenomic surveillance.
Collapse
Affiliation(s)
- Kirsty T T Kwok
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands.
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK.
| | - Myrna M T de Rooij
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Aniek B Messink
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Matthew Cotten
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
- London School of Hygiene and Tropical Medicine, London, UK
| | - Dick J J Heederik
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Marion P G Koopmans
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | - My V T Phan
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands.
- London School of Hygiene and Tropical Medicine, London, UK.
| |
Collapse
|
13
|
Linde KJ, Wouters IM, Kluytmans JAJW, Kluytmans-van den Bergh MFQ, Pas SD, GeurtsvanKessel CH, Koopmans MPG, Meier M, Meijer P, Raben CR, Spithoven J, Tersteeg-Zijderveld MHG, Heederik DJJ, Dohmen W. Detection of SARS-CoV-2 in Air and on Surfaces in Rooms of Infected Nursing Home Residents. Ann Work Expo Health 2022; 67:129-140. [PMID: 36068657 PMCID: PMC9834894 DOI: 10.1093/annweh/wxac056] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/12/2022] [Accepted: 07/29/2022] [Indexed: 01/14/2023] Open
Abstract
There is an ongoing debate on airborne transmission of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) as a risk factor for infection. In this study, the level of SARS-CoV-2 in air and on surfaces of SARS-CoV-2 infected nursing home residents was assessed to gain insight in potential transmission routes. During outbreaks, air samples were collected using three different active and one passive air sampling technique in rooms of infected patients. Oropharyngeal swabs (OPS) of the residents and dry surface swabs were collected. Additionally, longitudinal passive air samples were collected during a period of 4 months in common areas of the wards. Presence of SARS-CoV-2 RNA was determined using RT-qPCR, targeting the RdRp- and E-genes. OPS, samples of two active air samplers and surface swabs with Ct-value ≤35 were tested for the presence of infectious virus by cell culture. In total, 360 air and 319 surface samples from patient rooms and common areas were collected. In rooms of 10 residents with detected SARS-CoV-2 RNA in OPS, SARS-CoV-2 RNA was detected in 93 of 184 collected environmental samples (50.5%) (lowest Ct 29.5), substantially more than in the rooms of residents with negative OPS on the day of environmental sampling (n = 2) (3.6%). SARS-CoV-2 RNA was most frequently present in the larger particle size fractions [>4 μm 60% (6/10); 1-4 μm 50% (5/10); <1 μm 20% (2/10)] (Fischer exact test P = 0.076). The highest proportion of RNA-positive air samples on room level was found with a filtration-based sampler 80% (8/10) and the cyclone-based sampler 70% (7/10), and impingement-based sampler 50% (5/10). SARS-CoV-2 RNA was detected in 10 out of 12 (83%) passive air samples in patient rooms. Both high-touch and low-touch surfaces contained SARS-CoV-2 genome in rooms of residents with positive OPS [high 38% (21/55); low 50% (22/44)]. In one active air sample, infectious virus in vitro was detected. In conclusion, SARS-CoV-2 is frequently detected in air and on surfaces in the immediate surroundings of room-isolated COVID-19 patients, providing evidence of environmental contamination. The environmental contamination of SARS-CoV-2 and infectious aerosols confirm the potential for transmission via air up to several meters.
Collapse
Affiliation(s)
- Kimberly J Linde
- Author to whom correspondence should be addressed. Tel: +31302535358; e-mail:
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Jan A J W Kluytmans
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marjolein F Q Kluytmans-van den Bergh
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands,Department of Infection Control, Amphia Hospital, Breda, The Netherlands
| | - Suzan D Pas
- Microvida Location Amphia/Bravis, Breda/Roosendaal, The Netherlands
| | | | | | | | - Patrick Meijer
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Ceder R Raben
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Jack Spithoven
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | | | - Dick J J Heederik
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Wietske Dohmen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | | |
Collapse
|
14
|
Luiken RE, Heederik DJ, Scherpenisse P, Van Gompel L, van Heijnsbergen E, Greve GD, Jongerius-Gortemaker BG, Tersteeg-Zijderveld MH, Fischer J, Juraschek K, Skarżyńska M, Zając M, Wasyl D, Wagenaar JA, Smit LA, Wouters IM, Mevius DJ, Schmitt H. Determinants for antimicrobial resistance genes in farm dust on 333 poultry and pig farms in nine European countries. Environ Res 2022; 208:112715. [PMID: 35033551 DOI: 10.1016/j.envres.2022.112715] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 01/05/2022] [Accepted: 01/07/2022] [Indexed: 06/14/2023]
Abstract
Livestock feces with antimicrobial resistant bacteria reaches the farm floor, manure pit, farm land and wider environment by run off and aerosolization. Little research has been done on the role of dust in the spread of antimicrobial resistance (AMR) in farms. Concentrations and potential determinants of antimicrobial resistance genes (ARGs) in farm dust are at present not known. Therefore in this study absolute ARG levels, representing the levels people and animals might be exposed to, and relative abundances of ARGs, representing the levels in the bacterial population, were quantified in airborne farm dust using qPCR. Four ARGs were determined in 947 freshly settled farm dust samples, captured with electrostatic dustfall collectors (EDCs), from 174 poultry (broiler) and 159 pig farms across nine European countries. By using linear mixed modeling, associations with fecal ARG levels, antimicrobial use (AMU) and farm and animal related parameters were determined. Results show similar relative abundances in farm dust as in feces and a significant positive association (ranging between 0.21 and 0.82) between the two reservoirs. AMU in pigs was positively associated with ARG abundances in dust from the same stable. Higher biosecurity standards were associated with lower relative ARG abundances in poultry and higher relative ARG abundances in pigs. Lower absolute ARG levels in dust were driven by, among others, summer season and certain bedding materials for poultry, and lower animal density and summer season for pigs. This study indicates different pathways that contribute to shaping the dust resistome in livestock farms, related to dust generation, or affecting the bacterial microbiome. Farm dust is a large reservoir of ARGs from which transmission to bacteria in other reservoirs can possibly occur. The identified determinants of ARG abundances in farm dust can guide future research and potentially farm management policy.
Collapse
Affiliation(s)
- Roosmarijn Ec Luiken
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584CM, Utrecht, the Netherlands.
| | - Dick Jj Heederik
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584CM, Utrecht, the Netherlands
| | - Peter Scherpenisse
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584CM, Utrecht, the Netherlands
| | - Liese Van Gompel
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584CM, Utrecht, the Netherlands
| | - Eri van Heijnsbergen
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584CM, Utrecht, the Netherlands
| | - Gerdit D Greve
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584CM, Utrecht, the Netherlands
| | | | | | - Jennie Fischer
- Department of Biological Safety, German Federal Institute for Risk Assessment (BfR), Max-Dohrn-Strasse 8-10, 10589, Berlin, Germany
| | - Katharina Juraschek
- Department of Biological Safety, German Federal Institute for Risk Assessment (BfR), Max-Dohrn-Strasse 8-10, 10589, Berlin, Germany
| | - Magdalena Skarżyńska
- Department of Microbiology, National Veterinary Research Institute (PIWet), Partyzantów 57, 24-100, Puławy, Poland
| | - Magdalena Zając
- Department of Microbiology, National Veterinary Research Institute (PIWet), Partyzantów 57, 24-100, Puławy, Poland
| | - Dariusz Wasyl
- Department of Microbiology, National Veterinary Research Institute (PIWet), Partyzantów 57, 24-100, Puławy, Poland
| | - Jaap A Wagenaar
- Department Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, 3584CL, Utrecht, the Netherlands; Wageningen Bioveterinary Research, Houtribweg 39, 8221RA, Lelystad, the Netherlands
| | - Lidwien Am Smit
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584CM, Utrecht, the Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584CM, Utrecht, the Netherlands
| | - Dik J Mevius
- Department Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, 3584CL, Utrecht, the Netherlands; Wageningen Bioveterinary Research, Houtribweg 39, 8221RA, Lelystad, the Netherlands
| | - Heike Schmitt
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584CM, Utrecht, the Netherlands; Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721MA, Bilthoven, the Netherlands
| |
Collapse
|
15
|
Yang D, Heederik DJJ, Scherpenisse P, Van Gompel L, Luiken REC, Wadepohl K, Skarżyńska M, Van Heijnsbergen E, Wouters IM, Greve GD, Jongerius-Gortemaker BGM, Tersteeg-Zijderveld M, Portengen L, Juraschek K, Fischer J, Zając M, Wasyl D, Wagenaar JA, Mevius DJ, Smit LAM, Schmitt H. OUP accepted manuscript. J Antimicrob Chemother 2022; 77:1883-1893. [PMID: 35466367 PMCID: PMC9244224 DOI: 10.1093/jac/dkac133] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 03/31/2022] [Indexed: 11/21/2022] Open
Abstract
Background Real-time quantitative PCR (qPCR) is an affordable method to quantify antimicrobial resistance gene (ARG) targets, allowing comparisons of ARG abundance along animal production chains. Objectives We present a comparison of ARG abundance across various animal species, production environments and humans in Europe. AMR variation sources were quantified. The correlation of ARG abundance between qPCR data and previously published metagenomic data was assessed. Methods A cross-sectional study was conducted in nine European countries, comprising 9572 samples. qPCR was used to quantify abundance of ARGs [aph(3′)-III, erm(B), sul2, tet(W)] and 16S rRNA. Variance component analysis was conducted to explore AMR variation sources. Spearman’s rank correlation of ARG abundance values was evaluated between pooled qPCR data and earlier published pooled metagenomic data. Results ARG abundance varied strongly among animal species, environments and humans. This variation was dominated by between-farm variation (pigs) or within-farm variation (broilers, veal calves and turkeys). A decrease in ARG abundance along pig and broiler production chains (‘farm to fork’) was observed. ARG abundance was higher in farmers than in slaughterhouse workers, and lowest in control subjects. ARG abundance showed a high correlation (Spearman’s ρ > 0.7) between qPCR data and metagenomic data of pooled samples. Conclusions qPCR analysis is a valuable tool to assess ARG abundance in a large collection of livestock-associated samples. The between-country and between-farm variation of ARG abundance could partially be explained by antimicrobial use and farm biosecurity levels. ARG abundance in human faeces was related to livestock antimicrobial resistance exposure.
Collapse
Affiliation(s)
| | - Dick J J Heederik
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Peter Scherpenisse
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Liese Van Gompel
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Roosmarijn E C Luiken
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Katharina Wadepohl
- Außenstelle für Epidemiologie, Tierärztliche Hochschule Hannover, Hannover, Germany
| | - Magdalena Skarżyńska
- Department of Microbiology, National Veterinary Research Institute, Pulawy, Poland
| | - Eri Van Heijnsbergen
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Gerdit D Greve
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | | | - Monique Tersteeg-Zijderveld
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Lützen Portengen
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Katharina Juraschek
- Department of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Jennie Fischer
- Department of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Magdalena Zając
- Department of Microbiology, National Veterinary Research Institute, Pulawy, Poland
| | - Dariusz Wasyl
- Department of Microbiology, National Veterinary Research Institute, Pulawy, Poland
| | - Jaap A Wagenaar
- Department of Infectious Diseases and Immunology, Utrecht University, Utrecht, The Netherlands
| | - Dik J Mevius
- Department of Infectious Diseases and Immunology, Utrecht University, Utrecht, The Netherlands
- Department of Bacteriology and Epidemiology, Wageningen Bioveterinary Research, Lelystad, The Netherlands
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | | |
Collapse
|
16
|
Yang D, Heederik DJJ, Mevius DJ, Scherpenisse P, Luiken REC, Van Gompel L, Skarżyńska M, Wadepohl K, Chauvin C, Van Heijnsbergen E, Wouters IM, Greve GD, Jongerius-Gortemaker BGM, Tersteeg-Zijderveld M, Zając M, Wasyl D, Juraschek K, Fischer J, Wagenaar JA, Smit LAM, Schmitt H. OUP accepted manuscript. J Antimicrob Chemother 2022; 77:969-978. [PMID: 35061866 PMCID: PMC8969523 DOI: 10.1093/jac/dkac002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 12/26/2021] [Indexed: 11/29/2022] Open
Abstract
Objectives The occurrence and zoonotic potential of antimicrobial resistance (AMR) in pigs and broilers has been studied intensively in past decades. Here, we describe AMR levels of European pig and broiler farms and determine the potential risk factors. Methods We collected faeces from 181 pig farms and 181 broiler farms in nine European countries. Real-time quantitative PCR (qPCR) was used to quantify the relative abundance of four antimicrobial resistance genes (ARGs) [aph(3′)-III, erm(B), sul2 and tet(W)] in these faeces samples. Information on antimicrobial use (AMU) and other farm characteristics was collected through a questionnaire. A mixed model using country and farm as random effects was performed to evaluate the relationship of AMR with AMU and other farm characteristics. The correlation between individual qPCR data and previously published pooled metagenomic data was evaluated. Variance component analysis was conducted to assess the variance contribution of all factors. Results The highest abundance of ARG was for tet(W) in pig faeces and erm(B) in broiler faeces. In addition to the significant positive association between corresponding ARG and AMU levels, we also found on-farm biosecurity measures were associated with relative ARG abundance in both pigs and broilers. Between-country and between-farm variation can partially be explained by AMU. Different ARG targets may have different sample size requirements to represent the overall farm level precisely. Conclusions qPCR is an efficient tool for targeted assessment of AMR in livestock-related samples. The AMR variation between samples was mainly contributed to by between-country, between-farm and within-farm differences, and then by on-farm AMU.
Collapse
Affiliation(s)
- Dongsheng Yang
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
- Corresponding author. E-mail:
| | - Dick J. J. Heederik
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Dik J. Mevius
- Department of Infectious Diseases and Immunology, Utrecht University, Utrecht, The Netherlands
- Department of Bacteriology and Epidemiology, Wageningen Bioveterinary Research, Lelystad, The Netherlands
| | - Peter Scherpenisse
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Roosmarijn E. C. Luiken
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Liese Van Gompel
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Magdalena Skarżyńska
- Department of Microbiology, National Veterinary Research Institute, Pulawy, Poland
| | - Katharina Wadepohl
- Außenstelle für Epidemiologie, Tierärztliche Hochschule Hannover, Hannover, Germany
| | - Claire Chauvin
- ANSES, Epidemiology, Health and Welfare Unit, Paris, France
| | - Eri Van Heijnsbergen
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Inge M. Wouters
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Gerdit D. Greve
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | | | - Monique Tersteeg-Zijderveld
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Magdalena Zając
- Department of Microbiology, National Veterinary Research Institute, Pulawy, Poland
| | - Dariusz Wasyl
- Department of Microbiology, National Veterinary Research Institute, Pulawy, Poland
| | - Katharina Juraschek
- Department of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Jennie Fischer
- Department of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Jaap A. Wagenaar
- Department of Infectious Diseases and Immunology, Utrecht University, Utrecht, The Netherlands
| | - Lidwien A. M. Smit
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Heike Schmitt
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | | |
Collapse
|
17
|
de Lange MMA, van der Hoek W, Schneeberger PM, Swart A, Heederik DJJ, Schimmer B, Wouters IM. High Coxiella burnetii Seroconversion Rate in Veterinary Students, the Netherlands, 2006-2010. Emerg Infect Dis 2021; 26:3086-3088. [PMID: 33219801 PMCID: PMC7706948 DOI: 10.3201/eid2612.200063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
We examined Coxiella burnetii seroconversion rates by measuring C. burnetii IgG among 2 cohorts of veterinary students. During follow-up of 118 seronegative veterinary students, 23 students seroconverted. Although the clinical importance of the presence of antibodies is unknown, veterinary students should be informed about the potential risks for Q fever.
Collapse
|
18
|
Van Gompel L, Dohmen W, Luiken REC, Bouwknegt M, Heres L, van Heijnsbergen E, Jongerius-Gortemaker BGM, Scherpenisse P, Greve GD, Tersteeg-Zijderveld MHG, Wadepohl K, Ribeiro Duarte AS, Muñoz-Gómez V, Fischer J, Skarżyńska M, Wasyl D, Wagenaar JA, Urlings BAP, Dorado-García A, Wouters IM, Heederik DJJ, Schmitt H, Smit LAM. Occupational Exposure and Carriage of Antimicrobial Resistance Genes (tetW, ermB) in Pig Slaughterhouse Workers. Ann Work Expo Health 2021; 64:125-137. [PMID: 31883001 PMCID: PMC9194797 DOI: 10.1093/annweh/wxz098] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 11/30/2019] [Accepted: 12/13/2019] [Indexed: 01/05/2023] Open
Abstract
Objectives Slaughterhouse staff is occupationally exposed to antimicrobial resistant bacteria. Studies reported high antimicrobial resistance gene (ARG) abundances in slaughter pigs. This cross-sectional study investigated occupational exposure to tetracycline (tetW) and macrolide (ermB) resistance genes and assessed determinants for faecal tetW and ermB carriage among pig slaughterhouse workers. Methods During 2015–2016, 483 faecal samples and personal questionnaires were collected from workers in a Dutch pig abattoir, together with 60 pig faecal samples. Human dermal and respiratory exposure was assessed by examining 198 carcass, 326 gloves, and 33 air samples along the line, next to 198 packed pork chops to indicate potential consumer exposure. Samples were analyzed by qPCR (tetW, ermB). A job exposure matrix was created by calculating the percentage of tetW and ermB positive carcasses or gloves for each job position. Multiple linear regression models were used to link exposure to tetW and ermB carriage. Results Workers are exposed to tetracycline and macrolide resistance genes along the slaughter line. Tetw and ermB gradients were found for carcasses, gloves, and air filters. One packed pork chop contained tetW, ermB was non-detectable. Human faecal tetW and ermB concentrations were lower than in pig faeces. Associations were found between occupational tetW exposure and human faecal tetW carriage, yet, not after model adjustments. Sampling round, nationality, and smoking were determinants for ARG carriage. Conclusion We demonstrated clear environmental tetracycline and macrolide resistance gene exposure gradients along the slaughter line. No robust link was found between ARG exposure and human faecal ARG carriage.
Collapse
Affiliation(s)
- Liese Van Gompel
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Wietske Dohmen
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Roosmarijn E C Luiken
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | | | | | - Eri van Heijnsbergen
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Betty G M Jongerius-Gortemaker
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Peter Scherpenisse
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Gerdit D Greve
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | | | - Katharina Wadepohl
- Field Station for Epidemiology, University of Veterinary Medicine Hannover Foundation, Bakum, Germany
| | - Ana Sofia Ribeiro Duarte
- Section for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | | | - Jennie Fischer
- German Federal Institute for Risk Assessment (BfR), Max-Dohrn-Straße, Berlin, Germany
| | | | - Dariusz Wasyl
- National Veterinary Research Institute (PIWet), Puławy, Poland
| | - Jaap A Wagenaar
- Wageningen, Bioveterinary Research, Lelystad, The Netherlands.,Department of Infectious Diseases and Immunology (I&I), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | | | - Alejandro Dorado-García
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Dick J J Heederik
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Heike Schmitt
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.,Centre for Infectious Disease Control (RIVM), National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| |
Collapse
|
19
|
Vested A, Kolstad HA, Basinas I, Burdorf A, Elholm G, Heederik D, Jacobsen GH, Kromhout H, Omland Ø, Schaumburg I, Sigsgaard T, Vestergaard JM, Wouters IM, Schlünssen V. Dust exposure and the impact on hospital readmission of farming and wood industry workers for asthma and chronic obstructive pulmonary disease (COPD). Scand J Work Environ Health 2020; 47:163-168. [PMID: 33073852 PMCID: PMC8114568 DOI: 10.5271/sjweh.3926] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objectives: It is still not well established how occupational air pollutants affect the prognosis of asthma or chronic obstructive pulmonary disease (COPD). This study uses nationwide Danish registers and quantitative dust industry exposure matrices (IEM) for the farming and wood industries to estimate whether previous year dust exposure level impacts hospital readmissions for workers diagnosed with asthma or COPD. Methods: We identified all individuals with a first diagnosis of either asthma (769 individuals) or COPD (342 individuals) between 1997 and 2007 and followed them until the next hospital admission for asthma or COPD, emigration, death or 31 December 2007. We included only individuals who worked in either the wood or farming industries at least one year during follow-up. We used logistic regression analysis to investigate associations between dust exposure level in the previous year and hospital readmission, adjusting for sex, age, time since first diagnosis, socioeconomic status, and labor force participation. Results: Asthma readmissions for individuals with low and high dust exposure were increased [adjusted rate ratio (RRadj) 2.52, 95% confidence interval (CI) 1.45–4.40] and RRadj 2.64 (95% CI 1.52–4.60), respectively. For COPD readmission, the risk estimates were RRadj 1.36 (95% CI 0.57–3.23) for low and RRadj 1.20 (95% CI 0.49–2.95) for high exposure level in the previous year. For asthma readmission, stratified analyses by type of dust exposure during follow-up showed increased risks for both wood dust [RRadj 2.67 (95% CI 1.35–5.26) high exposure level] and farming dust [RRadj 3.59 (95% CI 1.11–11.59) high exposure level]. No clear associations were seen for COPD readmissions. Conclusions: This study indicates that exposure to wood or farm dust in the previous year increases the risk of hospital readmission for individuals with asthma but not for those with COPD.
Collapse
Affiliation(s)
- Anne Vested
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Aarhus, Denmark.
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
20
|
Yang D, Van Gompel L, Luiken REC, Sanders P, Joosten P, van Heijnsbergen E, Wouters IM, Scherpenisse P, Chauvin C, Wadepohl K, Greve GD, Jongerius-Gortemaker BGM, Tersteeg-Zijderveld MHG, Soumet C, Skarżyńska M, Juraschek K, Fischer J, Wasyl D, Wagenaar JA, Dewulf J, Schmitt H, Mevius DJ, Heederik DJJ, Smit LAM. Association of antimicrobial usage with faecal abundance of aph(3')-III, ermB, sul2 and tetW resistance genes in veal calves in three European countries. Int J Antimicrob Agents 2020; 56:106131. [PMID: 32763373 DOI: 10.1016/j.ijantimicag.2020.106131] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 05/21/2020] [Accepted: 07/29/2020] [Indexed: 01/09/2023]
Abstract
BACKGROUND High antimicrobial use (AMU) and antimicrobial resistance (AMR) in veal calves remain a source of concern. As part of the EFFORT project, the association between AMU and the abundance of faecal antimicrobial resistance genes (ARGs) in veal calves in three European countries was determined. METHODS In 2015, faecal samples of veal calves close to slaughter were collected from farms located in France, Germany and the Netherlands (20 farms in France, 20 farms in the Netherlands and 21 farms in Germany; 25 calves per farm). Standardized questionnaires were used to record AMU and farm characteristics. In total, 405 faecal samples were selected for DNA extraction and quantitative polymerase chain reaction to quantify the abundance (16S normalized concentration) of four ARGs [aph(3')-III, ermB, sul2 and tetW] encoding for resistance to frequently used antimicrobials in veal calves. Multiple linear mixed models with random effects for country and farm were used to relate ARGs to AMU and farm characteristics. RESULTS A significant positive association was found between the use of trimethoprim/sulfonamides and the concentration of sul2 in faeces from veal calves. A higher weight of calves on arrival at the farm was negatively associated with aph(3')-III and ermB. Lower concentrations of aph(3')-III were found at farms with non-commercial animals present. Furthermore, farms using only water for the cleaning of stables had a significantly lower abundance of faecal ermB and tetW compared with other farms. CONCLUSION A positive association was found between the use of trimethoprim/sulfonamides and the abundance of sul2 in faeces in veal calves. Additionally, other relevant risk factors associated with ARGs in veal calves were identified, such as weight on arrival at the farm and cleaning practices.
Collapse
Affiliation(s)
- Dongsheng Yang
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
| | - Liese Van Gompel
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Roosmarijn E C Luiken
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Pim Sanders
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Philip Joosten
- Veterinary Epidemiology Unit, Faculty of Veterinary Medicine, Ghent University, Ghent, Belgium
| | - Eri van Heijnsbergen
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Peter Scherpenisse
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Claire Chauvin
- ANSES, Epidemiology, Health and Welfare Unit, Paris, France
| | - Katharina Wadepohl
- Außenstelle für Epidemiologie, Tierärztliche Hochschule Hannover, Hannover, Germany
| | - Gerdit D Greve
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | | | | | | | - Magdalena Skarżyńska
- Department of Microbiology, National Veterinary Research Institute, Pulawy, Poland
| | - Katharina Juraschek
- Department of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Jennie Fischer
- Department of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Dariusz Wasyl
- Department of Microbiology, National Veterinary Research Institute, Pulawy, Poland
| | - Jaap A Wagenaar
- Department of Infectious Diseases and Immunology, Utrecht University, Utrecht, The Netherlands; Department of Bacteriology and Epidemiology, Wageningen Bioveterinary Research, Lelystad, The Netherlands
| | - Jeroen Dewulf
- Veterinary Epidemiology Unit, Faculty of Veterinary Medicine, Ghent University, Ghent, Belgium
| | - Heike Schmitt
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands; National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Dik J Mevius
- Department of Infectious Diseases and Immunology, Utrecht University, Utrecht, The Netherlands; Department of Bacteriology and Epidemiology, Wageningen Bioveterinary Research, Lelystad, The Netherlands
| | - Dick J J Heederik
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | | |
Collapse
|
21
|
de Rooij MMT, Smit LAM, Erbrink HJ, Hagenaars TJ, Hoek G, Ogink NWM, Winkel A, Heederik DJJ, Wouters IM. Endotoxin and particulate matter emitted by livestock farms and respiratory health effects in neighboring residents. Environ Int 2019; 132:105009. [PMID: 31387023 DOI: 10.1016/j.envint.2019.105009] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 07/09/2019] [Accepted: 07/10/2019] [Indexed: 05/21/2023]
Abstract
BACKGROUND Living in livestock-dense areas has been associated with health effects, suggesting airborne exposures to livestock farm emissions to be relevant for public health. Livestock farm emissions involve complex mixtures of various gases and particles. Endotoxin, a pro-inflammatory agent of microbial origin, is a constituent of livestock farm emitted particulate matter (PM) that is potentially related to the observed health effects. Quantification of livestock associated endotoxin exposure at residential addresses in relation to health outcomes has not been performed earlier. OBJECTIVES We aimed to assess exposure-response relations for a range of respiratory endpoints and atopic sensitization in relation to livestock farm associated PM10 and endotoxin levels. METHODS Self-reported respiratory symptoms of 12,117 persons participating in a population-based cross-sectional study were analyzed. For 2494 persons, data on lung function (spirometry) and serologically assessed atopic sensitization was additionally available. Annual-average PM10 and endotoxin concentrations at home addresses were predicted by dispersion modelling and land-use regression (LUR) modelling. Exposure-response relations were analyzed with generalized additive models. RESULTS Health outcomes were generally more strongly associated with exposure to livestock farm emitted endotoxin compared to PM10. An inverse association was observed for dispersion modelled exposure with atopic sensitization (endotoxin: p = .004, PM10: p = .07) and asthma (endotoxin: p = .029, PM10: p = .022). Prevalence of respiratory symptoms decreased with increasing endotoxin concentration at the lower range, while at the higher range prevalence increased with increasing concentration (p < .05). Associations between lung function parameters with exposure to PM10 and endotoxin were not statistically significant (p > .05). CONCLUSIONS Exposure to livestock farm emitted particulate matter is associated with respiratory health effects and atopic sensitization in non-farming residents. Results indicate endotoxin to be a potentially plausible etiologic agent, suggesting non-infectious aspects of microbial emissions from livestock farms to be important with respect to public health.
Collapse
Affiliation(s)
- Myrna M T de Rooij
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands.
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | | | - Thomas J Hagenaars
- Wageningen Bioveterinary Research, Wageningen University and Research, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - Nico W M Ogink
- Wageningen Livestock Research, Wageningen University and Research, the Netherlands
| | - Albert Winkel
- Wageningen Livestock Research, Wageningen University and Research, the Netherlands
| | - Dick J J Heederik
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| |
Collapse
|
22
|
Samadi S, Heederik DJJ, Zahradnik E, Rietbroek NNJ, van Eerdenburg F, Sander I, Raulf M, Wouters IM. Bovine Allergens in a Ruminant Clinic and Dairy Barns: Exposure Levels, Determinants, and Variability. Ann Work Expo Health 2019; 62:663-673. [PMID: 29718069 DOI: 10.1093/annweh/wxy028] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 04/10/2018] [Indexed: 11/14/2022] Open
Abstract
Background Dairy farmers may develop specific sensitization and allergic airway diseases due to bovine allergens. However, dose-response relationships are lacking, and as yet little is known on bovine allergen exposure levels. Objective To investigate bovine allergen exposure levels in a ruminant clinic and dairy barns, and to assess exposure determinants and variability of exposure. Methods Samples were collected using active and passive airborne dust measurements in a ruminant clinic and several dairy barns. Bovine allergen levels were determined by sandwich enzyme-linked immunosorbent assay. Linear mixed models were applied to explore the association between bovine allergen exposure levels and potential exposure determinants. Day-to-day within-worker and between-worker exposure variability was determined, as well as how exposure determinants affect exposure variability. Results Bovine allergens were measureable in all samples. Personal bovine allergen exposure levels in the ruminant clinic ranged from 0.10 to 24.8 µg/m3, geometric mean (GM) 1.34 µg/m3. Exposure levels varied dependent on job titles. Personal exposure levels in dairy barns ranged from 0.10 to 46.8 µg/m3, GM 1.47 µg/m3. Type of bedding materials in the barns appeared to be a significant determinant of bovine allergen levels. Compost bedding, particularly, increased allergen levels. Milking by robot was the most important determinant explaining between-worker exposure variability, while bedding was important as well. Bovine allergen levels in stationary measurements were somewhat lower than personal measurements (GM ratio 0.47). Bovine allergens could be readily detected in electrostatic dust-fall collector measurements. Conclusion This study provides insight in bovine allergen exposure levels and their determinants, which is a first step to investigate dose-response relationships between sensitization/allergy associated with exposure to bovine allergen levels in future studies.
Collapse
Affiliation(s)
- Sadegh Samadi
- Department of Occupational Health, Health Faculty, Arak University of Medical Sciences, Arak, Iran.,Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, TD Utrecht, The Netherlands
| | - Dick J J Heederik
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, TD Utrecht, The Netherlands
| | - Eva Zahradnik
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance (IPA), Institute of the Ruhr-Universität Bochum, Bochum, Germany
| | - Nancy N J Rietbroek
- Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, CN Utrecht, The Netherlands
| | - Frank van Eerdenburg
- Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, CN Utrecht, The Netherlands
| | - Ingrid Sander
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance (IPA), Institute of the Ruhr-Universität Bochum, Bochum, Germany
| | - Monika Raulf
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance (IPA), Institute of the Ruhr-Universität Bochum, Bochum, Germany
| | - Inge M Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, TD Utrecht, The Netherlands
| |
Collapse
|
23
|
de
Rooij MMT, Hoek G, Schmitt H, Janse I, Swart A, Maassen CBM, Schalk M, Heederik DJJ, Wouters IM. Insights into Livestock-Related Microbial Concentrations in Air at Residential Level in a Livestock Dense Area. Environ Sci Technol 2019; 53:7746-7758. [PMID: 31081619 PMCID: PMC6611074 DOI: 10.1021/acs.est.8b07029] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 04/03/2019] [Accepted: 04/29/2019] [Indexed: 05/21/2023]
Abstract
Microbial air pollution from livestock farms has raised concerns regarding public health. Little is known about airborne livestock-related microbial levels in residential areas. We aimed to increase insights into this issue. Air measurements were performed in 2014 and 2015 at 61 residential sites in The Netherlands. Quantitative-PCR was used to assess DNA concentrations of selected bacteria (commensals: Escherichia coli and Staphylococcus spp.; a zoonotic pathogen: Campylobacter jejuni) and antimicrobial resistance (AMR) genes ( tetW, mecA) in airborne dust. Mixed models were used to explore spatial associations (temporal adjusted) with livestock-related characteristics of the surroundings. DNA from commensals and AMR genes was detectable even at sites furthest away from farms (1200 m), albeit at lower levels. Concentrations, distinctly different between sites, were strongly associated with the density of farms in the surroundings especially with poultry and pigs. C. jejuni DNA was less prevalent (42% of samples positive). Presence of C. jejuni was solely associated with poultry (OR: 4.7 (95% CI: 1.7-14), high versus low poultry density). Residential exposure to livestock-related bacteria and AMR genes was demonstrated. Identified associations suggest contribution of livestock farms to microbial air pollution in general and attribution differences between farm types. This supports the plausibility of recent studies showing health effects in relation to residential proximity to farms.
Collapse
Affiliation(s)
- Myrna M. T. de
Rooij
- Institute
for Risk Assessment Sciences (IRAS), Utrecht
University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
- Phone: +31302532539; e-mail:
| | - Gerard Hoek
- Institute
for Risk Assessment Sciences (IRAS), Utrecht
University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Heike Schmitt
- Institute
for Risk Assessment Sciences (IRAS), Utrecht
University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
- National
Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Ingmar Janse
- National
Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Arno Swart
- National
Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Catharina B. M. Maassen
- National
Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Marjolijn Schalk
- National
Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Dick J. J. Heederik
- Institute
for Risk Assessment Sciences (IRAS), Utrecht
University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| | - Inge M. Wouters
- Institute
for Risk Assessment Sciences (IRAS), Utrecht
University, Yalelaan 2, 3584 CM Utrecht, The Netherlands
| |
Collapse
|
24
|
Vested A, Basinas I, Burdorf A, Elholm G, Heederik DJJ, Jacobsen GH, Kolstad HA, Kromhout H, Omland Ø, Sigsgaard T, Thulstrup AM, Toft G, Vestergaard JM, Wouters IM, Schlünssen V. A nationwide follow-up study of occupational organic dust exposure and risk of chronic obstructive pulmonary disease (COPD). Occup Environ Med 2018; 76:105-113. [PMID: 30598459 PMCID: PMC6581073 DOI: 10.1136/oemed-2018-105323] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 10/17/2018] [Accepted: 11/07/2018] [Indexed: 01/13/2023]
Abstract
Objectives To study exposure-response relations between cumulative organic dust exposure and incident chronic obstructive pulmonary disease (COPD) among subjects employed in the Danish farming and wood industry. Methods We studied exposure-response relations between cumulative organic dust exposure and incident COPD (1997–2013) among individuals born during 1950–1977 in Denmark ever employed in the farming or wood industry (n=1 75 409). Industry-specific employment history (1964–2007), combined with time-dependent farming and wood industry-specific exposure matrices defined cumulative exposure. We used logistic regression analysis with discrete survival function adjusting for age, sex and calendar year. Adjustment for smoking status was explored in a subgroup of 4023 with smoking information available. Results Cumulative organic dust exposure was inversely associated with COPD (adjusted rate ratios (RRadj (95% CIs) of 0.90 (0.82 to 0.99), 0.76 (0.69 to 0.84) and 0.52 (0.47 to 0.58) for intermediate-low, intermediate-high and high exposure quartiles, respectively, compared with the lowest exposure quartile). Lagging exposure 10 years was not consistently suggestive of an association between cumulative exposure and COPD; RRadj (95% CI): 1.05 (0.94 to 1.16), 0.92 (0.83 to 1.02) and 0.63 (0.56 to 0.70). Additional stratification by duration of employment showed no clear association between organic dust exposure and COPD except for the longer exposed (15–40 years) where an inverse association was indicated. Subgroup analyses showed that smoking had no impact on exposure-response estimates. Conclusions Our findings show no increased risk of COPD with increasing occupational exposure to organic dust in the farming or wood industry. Potential residual confounding by smoking can, however, not be ruled out.
Collapse
Affiliation(s)
- Anne Vested
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Aarhus, Denmark.,Department of Public Health, Section of Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Ioannis Basinas
- Department of Public Health, Section of Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark.,Centre for Human Exposure Science (CHES), Institute of Occupational Medicine (IOM), Edinburgh, UK
| | - Alex Burdorf
- Department of Public Health, Erasmus MC, Rotterdam, The Netherlands
| | - Grethe Elholm
- Department of Public Health, Section of Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Dick J J Heederik
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Gitte H Jacobsen
- Department of Occupational Medicine, Danish Ramazzini Centre, University Research Clinic, Regional Hospital West, Herning, Denmark
| | - Henrik A Kolstad
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Hans Kromhout
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Øyvind Omland
- Department of Occupational Medicine, Danish Ramazzini Centre, Aalborg University Hospital, Aalborg, Denmark
| | - Torben Sigsgaard
- Department of Public Health, Section of Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Ane M Thulstrup
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Gunnar Toft
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Jesper M Vestergaard
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Aarhus, Denmark.,Department of Occupational Medicine, Danish Ramazzini Centre, University Research Clinic, Regional Hospital West, Herning, Denmark
| | - Inge M Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Vivi Schlünssen
- Department of Public Health, Section of Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark.,National Research Centre for the Working Environment, Copenhagen, Denmark
| |
Collapse
|
25
|
De Rooij MMT, Van Leuken JPG, Swart A, Kretzschmar MEE, Nielen M, De Koeijer AA, Janse I, Wouters IM, Heederik DJJ. A systematic knowledge synthesis on the spatial dimensions of Q fever epidemics. Zoonoses Public Health 2018; 66:14-25. [PMID: 30402920 PMCID: PMC7379662 DOI: 10.1111/zph.12534] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Accepted: 10/08/2018] [Indexed: 01/07/2023]
Abstract
From 2007 through 2010, the Netherlands experienced the largest Q fever epidemic ever reported. This study integrates the outcomes of a multidisciplinary research programme on spatial airborne transmission of Coxiella burnetii and reflects these outcomes in relation to other scientific Q fever studies worldwide. We have identified lessons learned and remaining knowledge gaps. This synthesis was structured according to the four steps of quantitative microbial risk assessment (QMRA): (a) Rapid source identification was improved by newly developed techniques using mathematical disease modelling; (b) source characterization efforts improved knowledge but did not provide accurate C. burnetii emission patterns; (c) ambient air sampling, dispersion and spatial modelling promoted exposure assessment; and (d) risk characterization was enabled by applying refined dose–response analyses. The results may support proper and timely risk assessment and risk management during future outbreaks, provided that accurate and structured data are available and exchanged readily between responsible actors.
Collapse
Affiliation(s)
- Myrna M T De Rooij
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Jeroen P G Van Leuken
- Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Arno Swart
- Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Mirjam E E Kretzschmar
- Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.,Julius Centre, University Medical Centre Utrecht (UMCU), Utrecht, The Netherlands
| | - Mirjam Nielen
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Aline A De Koeijer
- Central Veterinary Institute, Wageningen University and Research Centre, Lelystad, The Netherlands
| | - Ingmar Janse
- Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Dick J J Heederik
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| |
Collapse
|
26
|
Spierenburg EAJ, Portengen L, Smit LAM, Krop EJM, Hylkema MN, Rijkers GT, Heederik D, Wouters IM. Stability of individual LPS-induced ex vivo cytokine release in a whole blood assay over a five-year interval. J Immunol Methods 2018; 460:119-124. [PMID: 30056942 DOI: 10.1016/j.jim.2018.06.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 06/15/2018] [Accepted: 06/28/2018] [Indexed: 11/17/2022]
Abstract
OBJECTIVE In epidemiological and clinical studies, whole blood assay (WBA) has been used as a measure to characterize inter-individual differences in the cytokine response of individuals exposed to inflammatory agents, such as endotoxins. Several short-time repeatability studies have shown stable cytokine levels in individuals over periods of days, weeks or months, but little is known about the long-term stability of cytokine reactivity. METHODS We studied cytokine response levels in LPS-stimulated whole blood in a cohort of 193 farmers and agricultural industry workers at two time points with a five-year interval. RESULTS IL-10 and IL-1β responses measured with a five-year time interval showed a weak positive correlation (r = 0.22 and 0.27, respectively), whereas no correlation was observed for TNFα (r = 0.06). Cytokine reactivity measured repeatedly at the same time point showed high correlations (IL-10 r = 0.80, IL-1β r = 0.53 and TNFα r = 0.74), suggesting that the observed weak correlations over time are reflective of actual variations in cytokine reactivity over time. CONCLUSIONS Repeatability of ex vivo cytokine reactivity showed to be differential for the measured cytokines, being more stable for IL-10 and IL-1β than for TNFα. However, in general, repeatability of ex vivo cytokine reactivity was weak, reflecting that cytokine reactivity can mostly be explained by (short term) intra-individual (immunological) or time varying environmental factors and less by genetic or other time-invariant factors. Therefore, WBA should be regarded as a viable tool to study relationships with current health status and exposure, and only partially as a predictor for a future response.
Collapse
Affiliation(s)
- E A J Spierenburg
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology and Veterinary Public Health, Utrecht University, Netherlands
| | - L Portengen
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology and Veterinary Public Health, Utrecht University, Netherlands
| | - L A M Smit
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology and Veterinary Public Health, Utrecht University, Netherlands
| | - E J M Krop
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology and Veterinary Public Health, Utrecht University, Netherlands
| | - M N Hylkema
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; GRIAC- Groningen Research Institute for Asthma and COPD, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - G T Rijkers
- Department of Sciences, University College Roosevelt, Middelburg, the Netherlands
| | - D Heederik
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology and Veterinary Public Health, Utrecht University, Netherlands
| | - I M Wouters
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology and Veterinary Public Health, Utrecht University, Netherlands.
| |
Collapse
|
27
|
van Oostrom SH, Engelfriet PM, Verschuren WMM, Schipper M, Wouters IM, Boezen M, Smit HA, Kerstjens HAM, Picavet HSJ. Aging-related trajectories of lung function in the general population-The Doetinchem Cohort Study. PLoS One 2018; 13:e0197250. [PMID: 29768509 PMCID: PMC5955530 DOI: 10.1371/journal.pone.0197250] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 04/30/2018] [Indexed: 01/07/2023] Open
Abstract
The objective of this study was to explore trajectories of lung function decline with age in the general population, and to study the effect of sociodemographic and life style related risk factors, in particular smoking and BMI. For this purpose, we used data from the Doetinchem Cohort Study (DCS) of men and women, selected randomly from the general population and aged 20–59 years at inclusion in 1987–1991, and followed until the present. Participants in the DCS are assessed every five years. Spirometry has been performed as part of this assessment from 1994 onwards. Participants were included in this study if spirometric measurement of FEV1, which in this study was the main parameter of interest, was acceptable and reproducible on at least one measurement round, leading to the inclusion of 5727 individuals (3008 females). Statistical analysis revealed three typical trajectories. The majority of participants followed a trajectory that closely adhered to the Global Lung Initiative Reference values (94.9% of men and 96.4% of women). Two other trajectories showed a more pronounced decline. Smoking and the presence of respiratory complaints were the best predictors of a trajectory with stronger decline. A greater BMI over the follow-up period was associated with a more unfavorable FEV1 course both in men (β = -0.027 (SD = 0.002); P < 0.001) and in women (β = -0.008 (SD = 0.001); P < 0.001). Smokers at baseline who quit the habit during follow-up, showed smaller decline in FEV1 in comparison to persistent smokers, independent of BMI change (In men β = -0.074 (SD = 0.020); P < 0.001. In women β = -0.277 (SD = 0.068); P < 0.001). In conclusion, three typical trajectories of age-related FEV1 decline could be distinguished. Change in the lifestyle related risk factors, BMI and smoking, significantly impact aging-related decline of lung function. Identifying deviant trajectories may help in early recognition of those at risk of a diagnosis of lung disease later in life.
Collapse
Affiliation(s)
- Sandra H. van Oostrom
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Peter M. Engelfriet
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- * E-mail:
| | - W. M. Monique Verschuren
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Maarten Schipper
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Inge M. Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Marike Boezen
- Department of Epidemiology, UMCG, Groningen, the Netherlands
| | - Henriëtte A. Smit
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - H. Susan J. Picavet
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| |
Collapse
|
28
|
Siegers EW, Anthonisse M, van Eerdenburg FJCM, van den Broek J, Wouters IM, Westermann CM. Effect of ionization, bedding, and feeding on air quality in a horse stable. J Vet Intern Med 2018; 32:1234-1240. [PMID: 29485234 PMCID: PMC5980306 DOI: 10.1111/jvim.15069] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Revised: 11/12/2017] [Accepted: 01/18/2018] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Organic dust is associated with Equine asthma. Ionization should reduce airborne dust levels. OBJECTIVES To determine the effect of ionization of air, type of bedding, and feed on the levels of airborne dust, endotoxin, and fungal colonies in horse stables. ANIMALS 24 healthy University-owned horses occupied the stables. METHODS A randomized controlled cross-over study. Four units with 6 stables were equipped with an ionization installation (25 VA, 5000 Volt Direct Current). Horses were kept either on wood shavings and fed haylage (2 units), or on straw and fed dry hay (2 units). Measurements were performed with and without activated ionization, during daytime and nighttime, repeatedly over the course of a week and repeatedly during 4-6 weeks. Statistical analysis was performed using a mixed effect model with Akaike's Information Criterion for model reduction and 95% profile (log) likelihood confidence intervals (CI). RESULTS Ionization did not alter concentrations of dust, endotoxin, or fungi, fewer. In the units with straw and hay, the concentration of dust, endotoxin, and fungi (difference in logarithmic mean 1.92 (95%CI 1.71-2.12); 2.86 (95%CI 2.59-3.14); 1.75 (95%CI 1.13-2.36)) were significantly higher compared to wood shavings and haylage. CONCLUSIONS AND CLINICAL IMPORTANCE The installation of a negative air-ionizer in the horse stable did not reduce concentrations of dust, endotoxin, and viable fungal spores. The substantial effect of low dust bedding and feed is confirmed.
Collapse
Affiliation(s)
- Esther Willemijn Siegers
- Equine Internal Medicine, Faculty of Veterinary Medicine, Utrecht UniversityUtrechtThe Netherlands
| | - Milou Anthonisse
- Equine Internal Medicine, Faculty of Veterinary Medicine, Utrecht UniversityUtrechtThe Netherlands
| | | | - Jan van den Broek
- Farm Animal Health, Faculty of Veterinary Medicine, Utrecht UniversityUtrechtThe Netherlands
| | - Inge M. Wouters
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht UniversityUtrechtThe Netherlands
| | | |
Collapse
|
29
|
Müller-Rompa SEK, Markevych I, Hose AJ, Loss G, Wouters IM, Genuneit J, Braun-Fahrländer C, Horak E, Boznanski A, Heederik D, von Mutius E, Heinrich J, Ege MJ. An approach to the asthma-protective farm effect by geocoding: Good farms and better farms. Pediatr Allergy Immunol 2018; 29:275-282. [PMID: 29314275 DOI: 10.1111/pai.12861] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/22/2017] [Indexed: 02/02/2023]
Abstract
BACKGROUND The highly consistent association of growing up on a farm with a reduced asthma risk has so far been attributed to direct farm exposure. In contrast, geographic determinants of the larger environment have never been assessed. In this study, the effects of proximity to farms and environmental variables in relation to the residential address on asthma and atopy were assessed. METHODS Addresses of 2265 children of the Bavarian arm of the GABRIELA study were converted into geocodes. Proximity to the nearest cow farm was calculated, and environmental characteristics were derived from satellite data or terrestrial monitoring. Bacterial diversity in mattress dust samples was assessed in 501 children by sequencing of the 16S rRNA amplicons. Logistic regression models were used to calculate associations between outcomes and exposure variables. RESULTS Asthma and atopy were inversely associated with the presence of a farm within a radius of maximum 100 m. The environmental variables greenness, tree cover, soil sealing, altitude, air pollution differed not only between farm and non-farm children but also between farm children with and without another farm nearby. The latter distinction revealed strong associations with characteristics of traditional farms including a broader diversity of microbial exposure, which mainly contributed to the protective effect on asthma. In non-farm children, the protective effect of a farm nearby was completely explained by consumption of farm milk. CONCLUSIONS Clustering of farms within a neighborhood of 100 m is strongly associated with the protective effect on asthma and may represent a more traditional style of farming with broader microbial exposure.
Collapse
Affiliation(s)
| | - I Markevych
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute for Occupational, Social, and Environmental Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - A J Hose
- Dr von Hauner Children's Hospital, LMU Munich, Munich, Germany
| | - G Loss
- Dr von Hauner Children's Hospital, LMU Munich, Munich, Germany.,Departments of Pediatrics and Computer Science & Engineering, University of California at San Diego, San Diego, CA, USA
| | - I M Wouters
- Division Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - J Genuneit
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - C Braun-Fahrländer
- Swiss Tropical and Public Health Institute Basel, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - E Horak
- Innsbruck Medical University, Innsbruck, Austria
| | | | - D Heederik
- Division Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - E von Mutius
- Dr von Hauner Children's Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research, Munich, Germany.,Institute for Asthma and Allergy Prevention, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - J Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - M J Ege
- Dr von Hauner Children's Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research, Munich, Germany
| | | |
Collapse
|
30
|
de Rooij MMT, Heederik DJJ, van Nunen EJHM, van Schothorst IJ, Maassen CBM, Hoek G, Wouters IM. Spatial Variation of Endotoxin Concentrations Measured in Ambient PM 10 in a Livestock-Dense Area: Implementation of a Land-Use Regression Approach. Environ Health Perspect 2018; 126:017003. [PMID: 29329101 PMCID: PMC6014694 DOI: 10.1289/ehp2252] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 11/21/2017] [Accepted: 11/22/2017] [Indexed: 05/04/2023]
Abstract
BACKGROUND Results from studies on residential health effects of livestock farming are inconsistent, potentially due to simple exposure proxies used (e.g., livestock density). Accuracy of these proxies compared with measured exposure concentrations is unknown. OBJECTIVES We aimed to assess spatial variation of endotoxin in PM10 (particulate matter ≤10μm) at residential level in a livestock-dense area, compare simple livestock exposure proxies to measured endotoxin concentrations, and evaluate whether land-use regression (LUR) can be used to explain spatial variation of endotoxin. METHODS The study area (3,000 km2) was located in Netherlands. Ambient PM10 was collected at 61 residential sites representing a variety of surrounding livestock-related characteristics. Three to four 2-wk averaged samples were collected at each site. A local reference site was used for temporal variation adjustment. Samples were analyzed for PM10 mass by weighing and for endotoxin by using the limulus amebocyte lysate assay. Three LUR models were developed, first a model based on general livestock-related GIS predictors only, followed by models that also considered species-specific predictors and farm type-specific predictors. RESULTS Variation in concentrations measured between sites was substantial for endotoxin and more limited for PM10 (coefficient of variation: 43%, 8%, respectively); spatial patterns differed considerably. Simple exposure proxies were associated with endotoxin concentrations although spatial variation explained was modest (R2<26%). LUR models using a combination of animal-specific livestock-related characteristics performed markedly better, with up to 64% explained spatial variation. CONCLUSION The considerable spatial variation of ambient endotoxin concentrations measured in a livestock-dense area can largely be explained by LUR modeling based on livestock-related characteristics. Application of endotoxin LUR models seems promising for residential exposure estimation within health studies. https://doi.org/10.1289/EHP2252.
Collapse
Affiliation(s)
- Myrna M T de Rooij
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Dick J J Heederik
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Erik J H M van Nunen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Isabella J van Schothorst
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Catharina B M Maassen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Gerard Hoek
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Inge M Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| |
Collapse
|
31
|
Demenais F, Margaritte-Jeannin P, Barnes KC, Cookson WOC, Altmüller J, Ang W, Barr RG, Beaty TH, Becker AB, Beilby J, Bisgaard H, Bjornsdottir US, Bleecker E, Bønnelykke K, Boomsma DI, Bouzigon E, Brightling CE, Brossard M, Brusselle GG, Burchard E, Burkart KM, Bush A, Chan-Yeung M, Chung KF, Couto Alves A, Curtin JA, Custovic A, Daley D, de Jongste JC, Del-Rio-Navarro BE, Donohue KM, Duijts L, Eng C, Eriksson JG, Farrall M, Fedorova Y, Feenstra B, Ferreira MA, Freidin MB, Gajdos Z, Gauderman J, Gehring U, Geller F, Genuneit J, Gharib SA, Gilliland F, Granell R, Graves PE, Gudbjartsson DF, Haahtela T, Heckbert SR, Heederik D, Heinrich J, Heliövaara M, Henderson J, Himes BE, Hirose H, Hirschhorn JN, Hofman A, Holt P, Hottenga J, Hudson TJ, Hui J, Imboden M, Ivanov V, Jaddoe VWV, James A, Janson C, Jarvelin MR, Jarvis D, Jones G, Jonsdottir I, Jousilahti P, Kabesch M, Kähönen M, Kantor DB, Karunas AS, Khusnutdinova E, Koppelman GH, Kozyrskyj AL, Kreiner E, Kubo M, Kumar R, Kumar A, Kuokkanen M, Lahousse L, Laitinen T, Laprise C, Lathrop M, Lau S, Lee YA, Lehtimäki T, Letort S, Levin AM, Li G, Liang L, Loehr LR, London SJ, Loth DW, Manichaikul A, Marenholz I, Martinez FJ, Matheson MC, Mathias RA, Matsumoto K, Mbarek H, McArdle WL, Melbye M, Melén E, Meyers D, Michel S, Mohamdi H, Musk AW, Myers RA, Nieuwenhuis MAE, Noguchi E, O'Connor GT, Ogorodova LM, Palmer CD, Palotie A, Park JE, Pennell CE, Pershagen G, Polonikov A, Postma DS, Probst-Hensch N, Puzyrev VP, Raby BA, Raitakari OT, Ramasamy A, Rich SS, Robertson CF, Romieu I, Salam MT, Salomaa V, Schlünssen V, Scott R, Selivanova PA, Sigsgaard T, Simpson A, Siroux V, Smith LJ, Solodilova M, Standl M, Stefansson K, Strachan DP, Stricker BH, Takahashi A, Thompson PJ, Thorleifsson G, Thorsteinsdottir U, Tiesler CMT, Torgerson DG, Tsunoda T, Uitterlinden AG, van der Valk RJP, Vaysse A, Vedantam S, von Berg A, von Mutius E, Vonk JM, Waage J, Wareham NJ, Weiss ST, White WB, Wickman M, Widén E, Willemsen G, Williams LK, Wouters IM, Yang JJ, Zhao JH, Moffatt MF, Ober C, Nicolae DL. Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nat Genet 2017; 50:42-53. [PMID: 29273806 PMCID: PMC5901974 DOI: 10.1038/s41588-017-0014-7] [Citation(s) in RCA: 316] [Impact Index Per Article: 45.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 11/08/2017] [Indexed: 12/11/2022]
Abstract
We examined common variation in asthma risk by conducting a meta-analysis of worldwide asthma genome-wide association studies (23,948 cases, 118,538 controls) from ethnically-diverse populations. We identified five new asthma loci, uncovered two additional novel associations at two known asthma loci, established asthma associations at two loci implicated previously in comorbidity of asthma plus hay fever, and confirmed nine known loci. Investigation of pleiotropy showed large overlaps in genetic variants with autoimmune and inflammatory diseases. Enrichment of asthma risk loci in enhancer marks, especially in immune cells, suggests a major role of these loci in the regulation of immune-related mechanisms.
Collapse
Affiliation(s)
- Florence Demenais
- Genetic Variation and Human Diseases Unit (UMR-946), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France. .,Institut Universitaire d'Hématologie, Université Paris Diderot, Université Sorbonne Paris Cité, Paris, France.
| | - Patricia Margaritte-Jeannin
- Genetic Variation and Human Diseases Unit (UMR-946), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.,Institut Universitaire d'Hématologie, Université Paris Diderot, Université Sorbonne Paris Cité, Paris, France
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, Colorado Center for Personalized Medicine, University of Colorado, Denver, CO, USA
| | | | - Janine Altmüller
- Cologne Center for Genomics and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Wei Ang
- School of Women's and Infants' Health, University of Western Australia, Perth, Western Australia, Australia
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University, New York, NY, USA
| | - Terri H Beaty
- Division of Genetic Epidemiology, Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Allan B Becker
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada
| | - John Beilby
- Department of the Diagnostic Genomics Laboratory, PathWest Laboratory Medicine, Queen Elizabeth II Medical Centre, Nedlands, Western Australia, Australia
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | | | - Eugene Bleecker
- Center for Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Klaus Bønnelykke
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrjie Universiteit, Amsterdam, The Netherlands
| | - Emmanuelle Bouzigon
- Genetic Variation and Human Diseases Unit (UMR-946), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.,Institut Universitaire d'Hématologie, Université Paris Diderot, Université Sorbonne Paris Cité, Paris, France
| | | | - Myriam Brossard
- Genetic Variation and Human Diseases Unit (UMR-946), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.,Institut Universitaire d'Hématologie, Université Paris Diderot, Université Sorbonne Paris Cité, Paris, France
| | - Guy G Brusselle
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.,Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Respiratory Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Esteban Burchard
- Department of Bioengineering & Therapeutic Sciences and Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Kristin M Burkart
- Division of Pulmonary, Allergy and Critical Care, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Andrew Bush
- National Heart and Lung Institute, Imperial College London, London, UK.,Royal Brompton Harefield National Health Service (NHS) Foundation Trust, London, UK
| | - Moira Chan-Yeung
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kian Fan Chung
- National Heart and Lung Institute, Imperial College London, London, UK.,Biomedical Research Unit, Royal Brompton & Harefield National Health Service (NHS) Trust, London, UK
| | | | - John A Curtin
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Adnan Custovic
- Department of Paediatrics, Imperial College London, London, UK
| | - Denise Daley
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Heart and Lung Innovation, University of British Columbia, Vancouver, BC, Canada
| | - Johan C de Jongste
- Department of Pediatrics, Division of Respiratory Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Kathleen M Donohue
- Departments of Medicine and Epidemiology, Columbia University, New York, NY, USA
| | - Liesbeth Duijts
- Department of Pediatrics, Division of Respiratory Medicine, and Department of Pediatrics, Division of Neonatology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Martin Farrall
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Yuliya Fedorova
- Institute of Biochemistry and Genetics, Ufa Scientific Center of the Russian Academy of Sciences, Ufa, Russian Federation
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Manuel A Ferreira
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Maxim B Freidin
- Population Genetics Laboratory, Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russian Federation
| | - Zofia Gajdos
- Divisions of Genetics and Endocrinology, Children's Hospital, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA
| | - Jim Gauderman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ulrike Gehring
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Jon Genuneit
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Sina A Gharib
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Frank Gilliland
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Raquel Granell
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Penelope E Graves
- Asthma and Airway Disease Research Center and BIO5 Institute, University of Arizona, Tucson, AZ, USA
| | - Daniel F Gudbjartsson
- deCODE genetics, Amgen Inc., Reykjavik, Iceland.,School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Tari Haahtela
- Skin and Allergy Hospital, University of Helsinki, Helsinki, Finland
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Dick Heederik
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Joachim Heinrich
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital in Munich, Munich, Germany.,Institute of Epidemiology I, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | | | - John Henderson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Blanca E Himes
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Hiroshi Hirose
- Health Center, Department of Internal Medicine, Keio University, Tokyo, Japan
| | - Joel N Hirschhorn
- Broad Institute, Cambridge, MA, USA.,Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA.,Departments of Pediatrics and Genetics, Harvard Medical School, Boston, MA, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Patrick Holt
- Cell Biology Telethon Kids Institute, University of Western Australia, Subiaco, Western Australia, Australia
| | - Jouke Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrjie Universiteit, Amsterdam, The Netherlands
| | - Thomas J Hudson
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada.,AbbVie Inc., Redwood City, CA, USA
| | - Jennie Hui
- Department of the Diagnostic Genomics Laboratory, PathWest Laboratory Medicine, Queen Elizabeth II Medical Centre, Nedlands, Western Australia, Australia.,Busselton Population Medical Research Institute, Perth, Western Australia, Australia.,School of Population and Global Health, University of Western Australia, Nedlands, Western Australia, Australia
| | - Medea Imboden
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Vladimir Ivanov
- Department of Biology, Medical Genetics and Ecology, Kursk State Medical University, Kursk, Russian Federation
| | - Vincent W V Jaddoe
- The Generation R Study Group, Department of Pediatrics and Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Alan James
- Department of Pulmonary Physiology and Sleep Medicine, Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.,School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
| | - Christer Janson
- Department of Medical Sciences: Respiratory, Allergy & Sleep Research, Uppsala University, Uppsala, Sweden
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK.,Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Deborah Jarvis
- National Heart and Lung Institute, Imperial College London, London, UK.,MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Graham Jones
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Ingileif Jonsdottir
- deCODE genetics, Amgen Inc., Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Pekka Jousilahti
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Michael Kabesch
- Department of Pediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO), Regensburg, Germany
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - David B Kantor
- Department of Anesthesiology, Perioperative and Pain Medicine, Division of Critical Care Medicine, Boston Children's Hospital, Boston, MA, USA.,Department of Anaesthesia, Harvard Medical School, Boston, MA, USA
| | - Alexandra S Karunas
- Institute of Biochemistry and Genetics, Ufa Scientific Center of the Russian Academy of Sciences, Ufa, Russian Federation.,Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russian Federation
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Scientific Center of the Russian Academy of Sciences, Ufa, Russian Federation.,Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russian Federation
| | - Gerard H Koppelman
- University of Groningen, University Medical Center Groningen, Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, Groningen, The Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, The Netherlands
| | - Anita L Kozyrskyj
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Eskil Kreiner
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Rajesh Kumar
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.,Divison of Allergy and Clinical Immunology, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Ashish Kumar
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland.,Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Mikko Kuokkanen
- National Institute for Health and Welfare (THL), Helsinki, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Lies Lahousse
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands.,Pharmaceutical Care Unit, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Tarja Laitinen
- Department of Pulmonary Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Catherine Laprise
- Département des Sciences Fondamentales, Université du Québec à Chicoutimi, Chicoutimi, Quebec, Canada.,Centre de Santé et de Services Sociaux du Saguenay-Lac-Saint-Jean, Saguenay, QC, Canada
| | - Mark Lathrop
- McGill University and Genome Quebec Innovation Centre, Montréal, QC, Canada
| | - Susanne Lau
- Pediatric Pneumology and Immunology, Charité Universitätsmedizin, Berlin, Germany
| | - Young-Ae Lee
- Max-Delbrück-Centrum (MDC) for Molecular Medicine, Berlin, Germany.,Pediatric Allergology, Experimental and Clinical Research Center, Charité Universitätsmedizin, Berlin, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Sébastien Letort
- Genetic Variation and Human Diseases Unit (UMR-946), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.,Institut Universitaire d'Hématologie, Université Paris Diderot, Université Sorbonne Paris Cité, Paris, France
| | - Albert M Levin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Guo Li
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Laura R Loehr
- Division of General Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Daan W Loth
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Ingo Marenholz
- Max-Delbrück-Centrum (MDC) for Molecular Medicine, Berlin, Germany.,Pediatric Allergology, Experimental and Clinical Research Center, Charité Universitätsmedizin, Berlin, Germany
| | - Fernando J Martinez
- Asthma and Airway Disease Research Center and BIO5 Institute, University of Arizona, Tucson, AZ, USA
| | - Melanie C Matheson
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Rasika A Mathias
- Division of Allergy & Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Kenji Matsumoto
- Department of Allergy and Clinical Immunology, National Research Institute for Child Health and Development, Tokyo, Japan
| | - Hamdi Mbarek
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrjie Universiteit, Amsterdam, The Netherlands
| | - Wendy L McArdle
- Bristol Bioresource Laboratories, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden.,Sachs Children's Hospital, Stockholm, Sweden
| | - Deborah Meyers
- Center for Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Sven Michel
- Department of Pediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO), Regensburg, Germany
| | - Hamida Mohamdi
- Genetic Variation and Human Diseases Unit (UMR-946), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.,Institut Universitaire d'Hématologie, Université Paris Diderot, Université Sorbonne Paris Cité, Paris, France
| | - Arthur W Musk
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.,Schools of Population Health and of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia
| | - Rachel A Myers
- Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Maartje A E Nieuwenhuis
- Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, The Netherlands.,University Medical Center Groningen, Department of Pulmonology, University of Groningen, Groningen, The Netherlands
| | - Emiko Noguchi
- Department of Medical Genetics, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - George T O'Connor
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.,The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Ludmila M Ogorodova
- Department of Faculty Pediatrics, Siberian State Medical University, Tomsk, Russian Federation
| | - Cameron D Palmer
- Broad Institute, Cambridge, MA, USA.,Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.,Analytic and Translational Genetics Unit, Departments of Medicine, of Neurology and of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,The Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Julie E Park
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Craig E Pennell
- School of Women's and Infants' Health, University of Western Australia, Perth, Western Australia, Australia
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Alexey Polonikov
- Department of Biology, Medical Genetics and Ecology, Kursk State Medical University, Kursk, Russian Federation
| | - Dirkje S Postma
- Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, The Netherlands.,University Medical Center Groningen, Department of Pulmonology, University of Groningen, Groningen, The Netherlands
| | - Nicole Probst-Hensch
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Valery P Puzyrev
- Population Genetics Laboratory, Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russian Federation
| | - Benjamin A Raby
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Adaikalavan Ramasamy
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.,Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Colin F Robertson
- Respiratory Medicine, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Isabelle Romieu
- Hubert Department of Global Health, Mory University, Atlanta, GA, USA.,Center for Population Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Muhammad T Salam
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Psychiatry, Kern Medical, Bakersfield, CA, USA
| | - Veikko Salomaa
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Vivi Schlünssen
- Department of Public Health, Section for Environment, Occupation & Health, Aarhus University, Aarhus, Denmark
| | - Robert Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Polina A Selivanova
- Department of Faculty Therapy, Siberian State Medical University, Tomsk, Russian Federation
| | - Torben Sigsgaard
- Department of Public Health, Section for Environment, Occupation & Health, Aarhus University, Aarhus, Denmark
| | - Angela Simpson
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,University Hospital of South Manchester, National Health Service (NHS) Foundation Trust, Manchester, UK
| | - Valérie Siroux
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1209, Institute for Advanced Biosciences, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France.,Université de Grenoble Alpes/CNRS UMR5309, Institute for Advanced Biosciences, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | - Lewis J Smith
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Maria Solodilova
- Department of Biology, Medical Genetics and Ecology, Kursk State Medical University, Kursk, Russian Federation
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Kari Stefansson
- deCODE genetics, Amgen Inc., Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - David P Strachan
- Population Health Research Institute, St George's University of London, London, UK
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands.,Netherlands Healthcare Inspectorate, The Hague, The Netherlands.,Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Philip J Thompson
- Institute for Respiratory Health and Harry Perkins Institute of Medical Research, University of Western Australia and The Lung Health Clinic, Nedlands, Western Australia, Australia
| | | | - Unnur Thorsteinsdottir
- deCODE genetics, Amgen Inc., Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Carla M T Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany.,Division of Metabolic Diseases and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Dara G Torgerson
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Tatsuhiko Tsunoda
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.,Department of Medical Science Mathematics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ralf J P van der Valk
- The Generation R Study Group, Department of Pediatrics, Division of Respiratory Medicine and Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Amaury Vaysse
- Genetic Variation and Human Diseases Unit (UMR-946), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.,Institut Universitaire d'Hématologie, Université Paris Diderot, Université Sorbonne Paris Cité, Paris, France
| | - Sailaja Vedantam
- Divisions of Genetics and Endocrinology, Children's Hospital, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA
| | - Andrea von Berg
- Department of Pediatrics, Marien-Hospital Wesel, Wesel, Germany
| | - Erika von Mutius
- Dr. Von Hauner Children's Hospital, Ludwig Maximilians University Munich, Munich, Germany.,German Center for Lung Research, Munich, Germany
| | - Judith M Vonk
- Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Johannes Waage
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Nick J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Scott T Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Wendy B White
- Undergraduate Training and Education Center (UTEC), Jackson Heart Study, Tougaloo College, Jackson, MI, USA
| | - Magnus Wickman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Clinical Research Sörmland, Uppsala University, Eskilstuna, Sweden
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Gonneke Willemsen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrjie Universiteit, Amsterdam, The Netherlands
| | - L Keoki Williams
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI, USA.,Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Inge M Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - James J Yang
- School of Nursing, University of Michigan, Ann Arbor, MI, USA
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Miriam F Moffatt
- Section of Genomic Medicine, National Heart and Lung Institute, London, UK
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Dan L Nicolae
- Departments of Statistics, Human Genetics and Medicine, Section of Genetic Medicine, University of Chicago, Chicago, IL, USA.
| |
Collapse
|
32
|
Spierenburg EAJ, Smit LAM, Krop EJM, Heederik D, Hylkema MN, Wouters IM. Occupational endotoxin exposure in association with atopic sensitization and respiratory health in adults: Results of a 5-year follow-up. PLoS One 2017; 12:e0189097. [PMID: 29211772 PMCID: PMC5718503 DOI: 10.1371/journal.pone.0189097] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2017] [Accepted: 11/18/2017] [Indexed: 11/18/2022] Open
Abstract
The objective of the present longitudinal study was to investigate the effects of occupational endotoxin exposure on respiratory health and atopic sensitization in adults. Health outcomes and personal endotoxin exposure estimates were determined for 234 farmers and agricultural workers both at baseline and 5 years later. A questionnaire was used to assess respiratory symptoms, spirometry tests were performed and total and specific IgE levels were measured in serum. A twofold increase in personal endotoxin exposure was associated with less hay fever (OR 0.68, 95%CI 0.54-0.87) and grass IgE positivity (OR 0.81, 95%CI 0.68-0.97) at both time points ("persistent" versus "never"). Although not statistically significant, a consistent protective pattern was observed for an increased loss of hay fever symptoms (OR 2.19, 95%CI 0.96-4.99) and grass IgE positivity (OR 1.24, 95%CI 0.76-2.02), and for less new-onset of hay fever (OR 0.87, 95%CI 0.65-1.17), grass IgE positivity (OR 0.83, 95%CI 0.61-1.12) and atopic sensitization (OR 0.75, 95%CI 0.55-1.02). Endotoxin exposure was not associated with changes in lung function. We showed that occupational endotoxin exposure is associated with a long-term protective effect on hay fever and grass IgE positivity. Results on longitudinal changes in hay fever, atopy and grass IgE positivity in adulthood were consistent with a protective effect of endotoxin exposure, but results need to be confirmed in larger cohorts. An effect of endotoxin exposure on lung function decline was not found.
Collapse
Affiliation(s)
- Elisabeth A. J. Spierenburg
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Lidwien A. M. Smit
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Esmeralda J. M. Krop
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Dick Heederik
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Machteld N. Hylkema
- Department of Pathology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- GRIAC- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Inge M. Wouters
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
- * E-mail:
| |
Collapse
|
33
|
de Rooij MMT, Heederik DJJ, Borlée F, Hoek G, Wouters IM. Spatial and temporal variation in endotoxin and PM10 concentrations in ambient air in a livestock dense area. Environ Res 2017; 153:161-170. [PMID: 27984760 DOI: 10.1016/j.envres.2016.12.004] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 12/02/2016] [Accepted: 12/03/2016] [Indexed: 05/19/2023]
Abstract
Several studies have reported associations between farming and respiratory health in neighboring residents. Health effects are possibly linked to fine dust and endotoxin emissions from livestock farms. Little is known about levels of these air pollutants in ambient air in livestock dense areas. We aimed to explore temporal and spatial variation of PM10 and endotoxin concentrations, and the association with livestock-related spatial and meteorological temporal determinants. From March till September 2011, one week average PM10 samples were collected using Harvard Impactors at eight sites (residential gardens) representing a variety of nearby livestock-related characteristics. A background site was included in the study area, situated at least 500m away from the nearest farm. PM10 mass was determined by gravimetric analysis and endotoxin level by means of Limulus-Amebocyte-Lysate assay. Data were analyzed using mixed models. The range between sites of geometric mean concentrations was for PM10 19.8-22.3µg/m3 and for endotoxin 0.46-0.66EU/m3. PM10 concentrations and spatial variation were very similar for all sites, while endotoxin concentrations displayed a more variable pattern over time with larger differences between sites. Nonetheless, the temporal pattern at the background location was highly comparable to the sites mean temporal pattern both for PM10 and endotoxin (Pearson correlation: 0.92, 0.62). Spatial variation was larger for endotoxin than for PM10 (within/between site variance ratio: 0.63, 2.03). Spatial livestock-related characteristics of the surroundings were more strongly related to endotoxin concentrations, while temporal determinants were more strongly related to PM10 concentrations. The effect of local livestock-related sources on PM10 concentration was limited in this study carried out in a livestock dense area. The effect on endotoxin concentrations was more profound. To gain more insight in the effect of livestock-related sources on ambient levels of PM10 and endotoxin, measurements should be based on a broader set of locations.
Collapse
Affiliation(s)
- Myrna M T de Rooij
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, The Netherlands.
| | - Dick J J Heederik
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, The Netherlands
| | - Floor Borlée
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, The Netherlands
| | - Gerard Hoek
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, The Netherlands
| | - Inge M Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, The Netherlands
| |
Collapse
|
34
|
Straumfors A, Heldal KK, Eduard W, Wouters IM, Ellingsen DG, Skogstad M. Cross-shift study of exposure-response relationships between bioaerosol exposure and respiratory effects in the Norwegian grain and animal feed production industry. Occup Environ Med 2016; 73:685-93. [PMID: 27473330 PMCID: PMC5036228 DOI: 10.1136/oemed-2015-103438] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 06/12/2016] [Indexed: 01/07/2023]
Abstract
Objective We have studied cross-shift respiratory responses of several individual bioaerosol components of the dust in the grain and feed industry in Norway. Methods Cross-shift changes in lung function and nasal congestion, as well as in respiratory and systemic symptoms of 56 exposed workers and 36 referents, were recorded on the same day as full-shift exposure to the inhalable aerosol fraction was assessed. Exposure–response associations were investigated by regression analysis. Results The workers were exposed on average to 1.0 mg/m3 of grain dust, 440 EU/m3 of endotoxin, 6 µg/m3 of β-1,3-glucans, 17×104/m3 of bacteria and 4×104/m3 of fungal spores during work. The exposure was associated with higher prevalence of self-reported eye and airway symptoms, which were related to the individual microbial components in a complex manner. Fatigue and nose symptoms were strongest associated with fungal spores, cough with or without phlegm was associated with grain dust and fungal spores equally strong and wheeze/tight chest/dyspnoea was strongest associated with grain dust. Bioaerosol exposure did not lead to cross-shift lung function decline, but several microbial components had influence on nose congestion. Conclusions Exposure to fungal spores and dust showed stronger associations with respiratory symptoms and fatigue than endotoxin exposure. The associations with dust suggest that there are other components in dust than the ones studied that induce these effects.
Collapse
Affiliation(s)
- Anne Straumfors
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway
| | - Kari Kulvik Heldal
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway
| | - Wijnand Eduard
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway
| | - Inge M Wouters
- Faculty of Veterinary Medicine, Institute of Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Dag G Ellingsen
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, Oslo, Norway
| | - Marit Skogstad
- Department of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway
| |
Collapse
|
35
|
de Rooij MMT, Borlée F, Smit LAM, de Bruin A, Janse I, Heederik DJJ, Wouters IM. Detection of Coxiella burnetii in Ambient Air after a Large Q Fever Outbreak. PLoS One 2016; 11:e0151281. [PMID: 26991094 PMCID: PMC4798294 DOI: 10.1371/journal.pone.0151281] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 02/25/2016] [Indexed: 11/18/2022] Open
Abstract
One of the largest Q fever outbreaks ever occurred in the Netherlands from 2007-2010, with 25 fatalities among 4,026 notified cases. Airborne dispersion of Coxiella burnetii was suspected but not studied extensively at the time. We investigated temporal and spatial variation of Coxiella burnetii in ambient air at residential locations in the most affected area in the Netherlands (the South-East), in the year immediately following the outbreak. One-week average ambient particulate matter < 10 μm samples were collected at eight locations from March till September 2011. Presence of Coxiella burnetii DNA was determined by quantitative polymerase chain reaction. Associations with various spatial and temporal characteristics were analyzed by mixed logistic regression. Coxiella burnetii DNA was detected in 56 out of 202 samples (28%). Airborne Coxiella burnetii presence showed a clear seasonal pattern coinciding with goat kidding. The spatial variation was significantly associated with number of goats on the nearest goat farm weighted by the distance to the farm (OR per IQR: 1.89, CI: 1.31-2.76). We conclude that in the year after a large Q fever outbreak, temporal variation of airborne Coxiella burnetii is suggestive to be associated with goat kidding, and spatial variation with distance to and size of goat farms. Aerosol measurements show to have potential for source identification and attribution of an airborne pathogen, which may also be applicable in early stages of an outbreak.
Collapse
Affiliation(s)
- Myrna M. T. de Rooij
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
- * E-mail:
| | - Floor Borlée
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Lidwien A. M. Smit
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Arnout de Bruin
- Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Ingmar Janse
- Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Dick J. J. Heederik
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Inge M. Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| |
Collapse
|
36
|
Hooiveld M, Smit LAM, van der Sman-de Beer F, Wouters IM, van Dijk CE, Spreeuwenberg P, Heederik DJJ, Yzermans CJ. Doctor-diagnosed health problems in a region with a high density of concentrated animal feeding operations: a cross-sectional study. Environ Health 2016; 15:24. [PMID: 26888643 PMCID: PMC4758110 DOI: 10.1186/s12940-016-0123-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Accepted: 02/15/2016] [Indexed: 05/28/2023]
Abstract
BACKGROUND There is growing interest in health risks of residents living near concentrated animal feeding operations (CAFOs). Previous research mostly focused on swine CAFOs and self-reported respiratory conditions. The aim was to study the association between the presence of swine, poultry, cattle and goat CAFOs and health of Dutch neighbouring residents using electronic medical records from general practitioners (GPs). METHODS Data for the year 2009 were collected of 119,036 inhabitants of a rural region with a high density of CAFOs using information from GIAB (high exposed population). A comparison was made with GP data from 78,060 inhabitants of rural areas with low densities of CAFOs (low exposed population). Associations between the number of CAFOs near residents' homes and morbidity were determined by multilevel (cross-classified) logistic regression. RESULTS In 2009, the prevalence of most respiratory and gastrointestinal conditions was similar in the high and low exposed population. Exceptions were pneumonia, atopic eczema and unspecified infectious diseases with an increased prevalence, and sinusitis with a decreased prevalence in the high exposed population. Within the high CAFO density region, the number of poultry, cattle and swine CAFOs near residents' homes was not associated with allergic, respiratory or gastrointestinal conditions. Conversely, each additional goat CAFO within the postal code area of residents' homes significantly increased the odds of unspecified infectious disease and pneumonia by 87 and 41 percent, respectively. CONCLUSIONS Using GP records, pneumonia and unspecified infectious diseases were positively associated with the number of goat CAFOs near residents' homes, but no association was found between swine, cattle, and poultry CAFOs and respiratory, allergic or gastrointestinal conditions.
Collapse
Affiliation(s)
- Mariëtte Hooiveld
- />NIVEL, Netherlands institute for health services research, P.O. Box 1568, 3500BN Utrecht, The Netherlands
| | - Lidwien A. M. Smit
- />Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Femke van der Sman-de Beer
- />NIVEL, Netherlands institute for health services research, P.O. Box 1568, 3500BN Utrecht, The Netherlands
| | - Inge M. Wouters
- />Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Christel E. van Dijk
- />NIVEL, Netherlands institute for health services research, P.O. Box 1568, 3500BN Utrecht, The Netherlands
| | - Peter Spreeuwenberg
- />NIVEL, Netherlands institute for health services research, P.O. Box 1568, 3500BN Utrecht, The Netherlands
| | - Dick J. J. Heederik
- />Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - C. Joris Yzermans
- />NIVEL, Netherlands institute for health services research, P.O. Box 1568, 3500BN Utrecht, The Netherlands
| |
Collapse
|
37
|
Boers D, Geelen L, Erbrink H, Smit LAM, Heederik D, Hooiveld M, Yzermans CJ, Huijbregts M, Wouters IM. The relation between modeled odor exposure from livestock farming and odor annoyance among neighboring residents. Int Arch Occup Environ Health 2015; 89:521-30. [PMID: 26455911 DOI: 10.1007/s00420-015-1092-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Accepted: 09/28/2015] [Indexed: 10/22/2022]
Abstract
PURPOSE Odor annoyance is an important environmental stressor for neighboring residents of livestock farms and may affect their quality of life and health. However, little is known about the relation between odor exposure due to livestock farming and odor annoyance. Even more, the relation between odor exposure and odor annoyance is rather complicated due to variable responses among individuals to comparable exposure levels and a large number of factors (such as age, gender, education) that may affect the relation. In this study, we (1) investigated the relation between modeled odor exposure and odor annoyance; (2) investigated whether other factors can affect this relation; and (3) compared our dose-response relation to a dose-response relation established in a previous study carried out in the Netherlands, more than 10 years ago, in order to investigate changes in odor perception and appreciation over time. METHODS We used data from 582 respondents who participated in a questionnaire survey among neighboring residents of livestock farms in the south of the Netherlands. Odor annoyance was established by two close-ended questions in a questionnaire; odor exposure was estimated using the Stacks dispersion model. RESULTS The results of our study indicate a statistically significant and positive relation between modeled odor exposure and reported odor annoyance from livestock farming (OR 1.92; 95 % CI 1.53-2.41). Furthermore, age, asthma, education and perceived air pollution in the environment are all related to odor annoyance, although they hardly affect the relation between estimated livestock odor exposure and reported odor annoyance. We also found relatively more odor annoyance reported among neighboring residents than in a previous study conducted in the Netherlands. CONCLUSIONS We found a strong relation between modeled odor exposure and odor annoyance. However, due to some uncertainties and small number of studies on this topic, further research and replication of results is recommended.
Collapse
Affiliation(s)
- D Boers
- Office of Environmental Health and Safety, Public Health Services Brabant/Zeeland, PO Box 3024, 5003 DA, Tilburg, The Netherlands.
| | - L Geelen
- Office of Environmental Health and Safety, Public Health Services Brabant/Zeeland, PO Box 3024, 5003 DA, Tilburg, The Netherlands
| | | | - L A M Smit
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht, The Netherlands
| | - D Heederik
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht, The Netherlands
| | - M Hooiveld
- NIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands
| | - C J Yzermans
- NIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands
| | - M Huijbregts
- Department of Environmental Science, Faculty of Science, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - I M Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht, The Netherlands
| |
Collapse
|
38
|
Spierenburg EAJ, Smit LAM, Heederik D, Robbe P, Hylkema MN, Wouters IM. Healthy worker survivor analysis in an occupational cohort study of Dutch agricultural workers. Int Arch Occup Environ Health 2015; 88:1165-73. [PMID: 25795169 PMCID: PMC4608974 DOI: 10.1007/s00420-015-1047-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Accepted: 03/05/2015] [Indexed: 12/04/2022]
Abstract
Objectives
High microbial exposures in farmers and agricultural workers are associated with less atopy. Although it has been speculated that healthy worker survival could be an explanation, this has not been studied so far. Therefore, we investigated the presence of healthy worker survival in a five-year follow-up study of an occupational cohort of Dutch farmers and agricultural industry (company) workers. Methods We compared baseline demographic characteristics, respiratory health, atopy and endotoxin exposure of 259 workers followed up with 124 workers lost to follow-up. Additionally, baseline health status of 31 participants who had changed to lower exposure jobs at follow-up was compared to those with similar or higher exposure jobs at follow-up. Results In general, no major healthy worker survival effect was found. Nonetheless, small differences were observed between subjects included in follow-up and those lost to follow-up. Those lost to follow-up were older, had a lower peak expiratory flow, and were less often raised on a farm. Company workers lost to follow-up with a farm childhood had more often self-reported allergy, but this was not observed for subjects with atopic sensitization or other respiratory symptoms. No differences were found for any of the studied characteristics in participants with lower exposure at follow-up compared to participants with similar or higher exposure at follow-up. Conclusions No major healthy worker survival is present in this organic dust exposed cohort. Differences between participants lost to follow-up and participants included in follow-up with regard to health characteristics are small and unlikely to explain the previously reported inverse associations between endotoxin exposure and atopy. Electronic supplementary material The online version of this article (doi:10.1007/s00420-015-1047-9) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- E A J Spierenburg
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
| | - L A M Smit
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - D Heederik
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - P Robbe
- Department of Pathology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - M N Hylkema
- Department of Pathology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - I M Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| |
Collapse
|
39
|
Straumfors A, Heldal KK, Wouters IM, Eduard W. Work Tasks as Determinants of Grain Dust and Microbial Exposure in the Norwegian Grain and Compound Feed Industry. Ann Occup Hyg 2015; 59:724-36. [PMID: 25743566 DOI: 10.1093/annhyg/mev012] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Accepted: 01/22/2015] [Indexed: 12/30/2022]
Abstract
OBJECTIVES The grain and compound feed industry entails inevitable risks of exposure to grain dust and its microbial content. The objective of this study was therefore to investigate task-dependent exposure differences in order to create knowledge basis for awareness and exposure reducing measures in the Norwegian grain and compound feed industry. METHODS A total of 166 samples of airborne dust were collected by full-shift personal sampling during work in 20 grain elevators and compound feed mills during one autumn season and two winter seasons. The personal exposure to grain dust, endotoxins, β-1→3-glucans, bacteria, and fungal spores was quantified and used as individual outcomes in mixed models with worker nested in company as random effect and different departments and tasks as fixed effects. RESULTS The exposure levels were highest in grain elevator departments. Exposure to endotoxins was particularly high. Tasks that represented the highest and lowest exposures varied depending on the bioaerosol component. The most important determinants for elevated dust exposure were cleaning and process controlling. Cleaning increased the dust exposure level by a factor of 2.44 of the reference, from 0.65 to 1.58mg m(-3), whereas process controlling increased the dust exposure level by a factor of 2.97, from 0.65 to 1.93mg m(-3). Process controlling was associated with significantly less grain dust exposure in compound feed mills and the combined grain elevators and compound feed mills, than in grain elevators. The exposure was reduced by a factor of 0.18 and 0.22, from 1.93 to 0.34mg m(-3) and to 0.42mg m(-3), respectively, compared with the grain elevators. Inspection/maintenance, cleaning, and grain rotation and emptying were determinants of higher exposure to both endotoxin and β-1→3-glucans. Seed winnowing was in addition a strong determinant for endotoxin, whereas mixing of animal feed implied higher β-1→3-glucan exposure. Cleaning was the only task that contributed significantly to higher exposure to bacteria and fungal spores. CONCLUSION Cleaning in all companies and process controlling in grain elevators were the strongest determinants for overall exposure, whereas seed winnowing was a particular strong determinant of endotoxin exposure. Exposure reduction by technical intervention or personal protective equipment should therefore be considered at work places with identified high exposure tasks.
Collapse
Affiliation(s)
- Anne Straumfors
- 1.Department of Chemical and Biological Work Environment, National Institute of Occupational Health, PO Box 8149 Dep, Oslo N-0033, Norway
| | - Kari Kulvik Heldal
- 1.Department of Chemical and Biological Work Environment, National Institute of Occupational Health, PO Box 8149 Dep, Oslo N-0033, Norway
| | - Inge M Wouters
- 2.Division of Environmental Epidemiology, Institute of Risk Assessment Sciences, PO Box 80178, Utrecht 3508TD, The Netherlands
| | - Wijnand Eduard
- 1.Department of Chemical and Biological Work Environment, National Institute of Occupational Health, PO Box 8149 Dep, Oslo N-0033, Norway
| |
Collapse
|
40
|
Basinas I, Sigsgaard T, Kromhout H, Heederik D, Wouters IM, Schlünssen V. A comprehensive review of levels and determinants of personal exposure to dust and endotoxin in livestock farming. J Expo Sci Environ Epidemiol 2015; 25:123-37. [PMID: 24280684 DOI: 10.1038/jes.2013.83] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2012] [Accepted: 06/24/2013] [Indexed: 05/21/2023]
Abstract
The respiratory health effects of livestock farming have been on debate for more than three decades. Endotoxin-contaminated organic dusts are considered as the most important respiratory hazards within livestock environments. A comprehensive review of the knowledge from studies assessing the exposure status of livestock farmers is still to be published. The present study reviews research published within the last 30 years on personal exposure of livestock farmers to organic dust and endotoxin, focusing on studies on pig, poultry and cattle farmers. Applied measurement methods and reported levels of personal exposure for the total, inhalable and respirable fractions are summarized and discussed, with emphasis on the intensity of exposure and the size and distribution of the reported exposure variability. In addition, available evidence on potential determinants of personal exposure to dust and endotoxin among these farmers are documented and discussed, taking results from exposure determinant studies using stationary sampling approaches into consideration. Research needs are addressed from an epidemiological and industrial hygiene perspective. Published studies have been heterogeneous in design, and applied methodologies and results were frequently inadequately reported. Despite these limitations and the presence of an enormous variability in personal exposure to dust and endotoxin, no clear downward trends in exposure with time were observed, suggesting that working environments within stables remains largely uncontrolled. Exposure control and prevention strategies for livestock farmers are urgently required. These should focus on the development of novel and improved methods of controlling dust and endotoxin exposure within stables based on the currently available knowledge on determinants of exposure.
Collapse
Affiliation(s)
- Ioannis Basinas
- Section for Environment, Occupation and Health, Department of Public Health, Danish Ramazzini Center, Aarhus University, Aarhus, Denmark
| | - Torben Sigsgaard
- Section for Environment, Occupation and Health, Department of Public Health, Danish Ramazzini Center, Aarhus University, Aarhus, Denmark
| | - Hans Kromhout
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Dick Heederik
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Inge M Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Vivi Schlünssen
- Section for Environment, Occupation and Health, Department of Public Health, Danish Ramazzini Center, Aarhus University, Aarhus, Denmark
| |
Collapse
|
41
|
Hooiveld M, van Dijk C, van der Sman-de Beer F, Smit LAM, Vogelaar M, Wouters IM, Heederik DJ, Yzermans CJ. Odour annoyance in the neighbourhood of livestock farming - perceived health and health care seeking behaviour. Ann Agric Environ Med 2015; 22:55-61. [PMID: 25780829 DOI: 10.5604/12321966.1141369] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
INTRODUCTION AND OBJECTIVES Odour annoyance forms the main source of environmental stress in residents living in the proximity of animal feeding operations (AFOs) and it has been associated with reduced health. This study aims to gain more insight into the association between AFOs in the neighbourhood, odour annoyance, other environmental stressors, and health, and incorporates health care seeking behaviour for reported symptoms. MATERIALS AND METHODS Cross-sectional data from 753 people living in an area in the Netherlands with a high density of AFOs was evaluated. Odour and other environmental annoyances in the neighbourhood, general health and symptom reporting were obtained by questionnaire. Health care utilisation was obtained from electronic medical records of general practices. The number of pigs, poultry and cattle within a 500 m radius from homes was computed using Geographic Information System data. Mutually adjusted multiple Poisson and (ordinal) logistic regression analyses were performed. RESULTS The number of pigs, poultry and cattle was equally associated with odour annoyance. This annoyance was associated with reduced general health and increased reporting of respiratory, gastrointestinal, neurological and stress-related symptoms. Participants rarely consulted their general practitioner for reported symptoms. Environmental stressors were weakly associated. CONCLUSIONS The number of animals around the homes was associated with odour annoyance. Odour annoyance was associated with reduced health, which could be a reason for caution with the construction of new AFOs.
Collapse
Affiliation(s)
- Mariette Hooiveld
- NIVEL, Netherlands Institute for Health Services Research, Utrecht, the Netherlands
| | - Christel van Dijk
- NIVEL, Netherlands Institute for Health Services Research, Utrecht, the Netherlands
| | | | - Lidwien A M Smit
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, the Netherlands
| | - Maartje Vogelaar
- NIVEL, Netherlands Institute for Health Services Research, Utrecht, the Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, the Netherlands
| | - Dick J Heederik
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, the Netherlands
| | - C Joris Yzermans
- NIVEL, Netherlands Institute for Health Services Research, Utrecht, the Netherlands
| |
Collapse
|
42
|
Robbe P, Draijer C, Borg TR, Luinge M, Timens W, Wouters IM, Melgert BN, Hylkema MN. Distinct macrophage phenotypes in allergic and nonallergic lung inflammation. Am J Physiol Lung Cell Mol Physiol 2014; 308:L358-67. [PMID: 25502502 DOI: 10.1152/ajplung.00341.2014] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Chronic exposure to farm environments is a risk factor for nonallergic lung disease. In contrast to allergic asthma, in which type 2 helper T cell (Th2) activation is dominant, exposure to farm dust extracts (FDE) induces Th1/Th17 lung inflammation, associated with neutrophil infiltration. Macrophage influx is a common feature of both types of lung inflammation, allergic and nonallergic. However, macrophage functions and phenotypes may vary according to their polarized state, which is dependent on the cytokine environment. In this study, we aimed to characterize and quantify the lung macrophage populations in two established murine models of allergic and nonallergic lung inflammation by means of fluorescence-activated cell sorting and immunohistochemistry. We demonstrated that, whereas in allergic asthma M2-dominant macrophages predominated in the lungs, in nonallergic inflammation M1-dominant macrophages were more prevalent. This was confirmed in vitro using a macrophage cell line, where FDE exerted a direct effect on macrophages, inducing M1-dominant polarization. The polarization of macrophages diverged depending on the exposure and inflammatory status of the tissue. Interfering with this polarization could be a target for treatment of different types of lung inflammation.
Collapse
Affiliation(s)
- Patricia Robbe
- University of Groningen, University Medical Center Groningen, Department of Pathology, Groningen, The Netherlands; University of Groningen, University Medical Center Groningen, GRIAC- Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands;
| | - Christina Draijer
- University of Groningen, University Medical Center Groningen, GRIAC- Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands; University of Groningen, Department of Pharmacokinetics, Toxicology and Targeting, Groningen, The Netherlands
| | - Thiago R Borg
- University of Groningen, University Medical Center Groningen, Department of Pathology, Groningen, The Netherlands; University of Groningen, University Medical Center Groningen, GRIAC- Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| | - Marjan Luinge
- University of Groningen, University Medical Center Groningen, Department of Pathology, Groningen, The Netherlands; University of Groningen, University Medical Center Groningen, GRIAC- Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| | - Wim Timens
- University of Groningen, University Medical Center Groningen, Department of Pathology, Groningen, The Netherlands; University of Groningen, University Medical Center Groningen, GRIAC- Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| | - Inge M Wouters
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, University of Utrecht, Utrecht, The Netherlands
| | - Barbro N Melgert
- University of Groningen, University Medical Center Groningen, GRIAC- Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands; University of Groningen, Department of Pharmacokinetics, Toxicology and Targeting, Groningen, The Netherlands
| | - Machteld N Hylkema
- University of Groningen, University Medical Center Groningen, Department of Pathology, Groningen, The Netherlands; University of Groningen, University Medical Center Groningen, GRIAC- Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| |
Collapse
|
43
|
Tischer C, Casas L, Wouters IM, Doekes G, Garcia-Esteban R, Gehring U, Hyvärinen A, Oldenwening M, Kerkhof M, Sunyer J, Standl M, Thiering E, Torrent M, Heinrich J. Early exposure to bio-contaminants and asthma up to 10 years of age: results of the HITEA study. Eur Respir J 2014; 45:328-37. [PMID: 25186271 DOI: 10.1183/09031936.00060214] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Inverse associations have been found between exposure to bio-contaminants and asthma and allergies. The aim of this study was to prospectively assess whether early exposure to bio-contaminants in dust is associated with asthma and allergy later in childhood among children from (sub)-urban areas. In subsets of three European birth cohorts (PIAMA: n=553; INMA: n=481; and LISAplus: n=395), endotoxin, (1,3,)-β-d-glucan and extracellular polysaccharide were measured in dust from living rooms shortly after birth. Current asthma at 6 years and 10 years of age and ever asthma up to 10 years of age were assessed by parental questionnaires. Specific IgE levels at 8 years (PIAMA) and 10 years (LISAplus) were available. Adjusted, cohort-specific logistic regression analyses were performed. Higher endotoxin concentrations were positively associated with current asthma at 6 years of age in PIAMA (adjusted OR 1.96, 95% CI 1.07-3.58), but were inversely related with ever asthma up to 10 years of age in INMA (adjusted OR 0.39, 95% CI 0.16-0.94). No associations with asthma were found for LISAplus. No associations were observed with atopic sensitisation in all cohorts. All associations with (1,3)-β-d-glucan and extracellular polysaccharide were statistically nonsignificant. The suggested immunological mechanisms of early exposure to bio-contaminants with regards to asthma and allergy might be different for children growing up in (sub)-urban environments.
Collapse
Affiliation(s)
- Christina Tischer
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Lidia Casas
- Dept of Public Health and Primary Care - Centre for Environment and Health KU Leuven, Leuven, Belgium Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Gert Doekes
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Raquel Garcia-Esteban
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Ulrike Gehring
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Anne Hyvärinen
- Dept Environmental Health, National Institute for Health and Welfare, Kuopio, Finland
| | - Marieke Oldenwening
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Marjan Kerkhof
- University Medical Center Groningen, Dept of Epidemiology, University of Groningen, Groningen, The Netherlands
| | - Jordi Sunyer
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain University Pompeu Fabra, Barcelona, Spain
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Elisabeth Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany
| | | | - Joachim Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | | |
Collapse
|
44
|
Robbe P, Spierenburg EAJ, Draijer C, Brandsma CA, Telenga E, van Oosterhout AJM, van den Berge M, Luinge M, Melgert BN, Heederik D, Timens W, Wouters IM, Hylkema MN. Shifted T-cell polarisation after agricultural dust exposure in mice and men. Thorax 2014; 69:630-7. [PMID: 24536057 DOI: 10.1136/thoraxjnl-2013-204295] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
RATIONALE A low prevalence of asthma and atopy has been shown in farmers and agricultural workers. However, in these workers, a higher prevalence of respiratory symptoms has been reported, in which T helper 1 (Th1) and/or Th17 responses may play a role. AIM We investigated the effect of exposure to dust extracts (DEs) from different farms on airway inflammation and T-cell polarisation in a mouse model and assessed T-cell polarisation in agricultural workers from the same farms. METHODS DEs were prepared from settled dust collected at cattle and pig farms and bulb and onion industries. Mice were exposed to phosphate-buffered saline (PBS), DEs, house dust mite (HDM) or HDM+DE via nasal instillation, four times per week during 5 weeks. Hyperresponsiveness, airway inflammation, IgE levels and T-cell polarisation were assessed. Th-cell and T cytotoxic (Tc)-cell subsets were investigated in peripheral blood samples from 33 agricultural workers and 9 non-exposed controls. RESULTS DEs induced interleukin(IL)-17, IL-1β and IL-6 in mouse lung homogenates. DE-exposed mice had more mixed inflammatory infiltrates in the lungs, and more neutrophils compared with PBS-exposed mice. DEs protected against the HDM-induced Th2 response and methacholine hyperresponsiveness. Interestingly, occupationally exposed humans had higher frequencies of Th cells spontaneously expressing IL-17 and interferon γ compared with controls. CONCLUSION Chronic exposure to different types of farm dust induces a Th/Tc-17 inflammatory response in mice and agricultural workers. This may contribute to the low prevalence of Th2-related diseases but may constitute a risk for other chronic respiratory diseases.
Collapse
Affiliation(s)
- P Robbe
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands University of Groningen, University Medical Center Groningen, GRIAC-Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| | - E A J Spierenburg
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), University of Utrecht, Utrecht, The Netherlands
| | - C Draijer
- University of Groningen, University Medical Center Groningen, GRIAC-Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands Department of Pharmacokinetics, University of Groningen, Toxicology and Targeting, Groningen, The Netherlands
| | - C A Brandsma
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands University of Groningen, University Medical Center Groningen, GRIAC-Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| | - E Telenga
- University of Groningen, University Medical Center Groningen, GRIAC-Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands Department of Pulmonology, University of Groningen, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A J M van Oosterhout
- University of Groningen, University Medical Center Groningen, GRIAC-Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands Department of Medical Biology, University of Groningen, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - M van den Berge
- University of Groningen, University Medical Center Groningen, GRIAC-Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands Department of Pulmonology, University of Groningen, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - M Luinge
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands University of Groningen, University Medical Center Groningen, GRIAC-Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| | - B N Melgert
- University of Groningen, University Medical Center Groningen, GRIAC-Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands Department of Pharmacokinetics, University of Groningen, Toxicology and Targeting, Groningen, The Netherlands
| | - D Heederik
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), University of Utrecht, Utrecht, The Netherlands
| | - W Timens
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands University of Groningen, University Medical Center Groningen, GRIAC-Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| | - I M Wouters
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), University of Utrecht, Utrecht, The Netherlands
| | - M N Hylkema
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands University of Groningen, University Medical Center Groningen, GRIAC-Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| |
Collapse
|
45
|
Casas L, Tischer C, Wouters IM, Torrent M, Gehring U, Garcia-Esteban R, Thiering E, Postma DS, de Jongste J, Smit HA, Borràs-Santos A, Zock JP, Hyvärinen A, Heinrich J, Sunyer J. Early life microbial exposure and fractional exhaled nitric oxide in school-age children: a prospective birth cohort study. Environ Health 2013; 12:103. [PMID: 24295277 PMCID: PMC3883521 DOI: 10.1186/1476-069x-12-103] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Accepted: 11/22/2013] [Indexed: 05/06/2023]
Abstract
BACKGROUND Inflammation is a key factor in the pathogenesis of respiratory diseases. Early life exposure to microbial agents may have an effect on the development of the immune system and on respiratory health later in life.In the present work we aimed to evaluate the associations between early life microbial exposures, and fractional exhaled nitric oxide (FeNO) at school age. METHODS Endotoxin, extracellular polysaccharides (EPS) and β(1,3)-D-glucan were measured in living room dust collected at 2-3 months of age in homes of participants of three prospective European birth cohorts (LISA, n = 182; PIAMA, n = 244; and INMA, n = 355). Home dampness and pet ownership were periodically reported by the parents through questionnaires. FeNO was measured at age 8 for PIAMA and at age 10/11 for LISA and INMA. Cohort-specific associations between the indoor microbial exposures and FeNO were evaluated using multivariable regression analyses. Estimates were combined using random-effects meta-analyses. RESULTS FeNO at school age was lower in children exposed to endotoxin at age 2-3 months (β -0.05, 95% confidence interval (CI) -0.10;-0.01) and in children with reported dog ownership during the first two years of life (GM ratio 0.82, CI 0.70-0.96). FeNO was not significantly associated with early life exposure to EPS, β(1,3)-D-glucan, indoor dampness and cat ownership. CONCLUSION Early life exposure to bacterial endotoxin and early life dog ownership are associated with lower FeNO at school age. Further studies are needed to confirm our results and to unravel the underlying mechanisms and possible clinical relevance of this finding.
Collapse
Affiliation(s)
- Lidia Casas
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Christina Tischer
- Helmholtz Zentrum München, German Research Centre for Environmental Health, Institute of Epidemiology I, Neuherberg, Germany
| | - Inge M Wouters
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | | | - Ulrike Gehring
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Raquel Garcia-Esteban
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Elisabeth Thiering
- Helmholtz Zentrum München, German Research Centre for Environmental Health, Institute of Epidemiology I, Neuherberg, Germany
| | - Dirkje S Postma
- Department of Pulmonology, GRIAC research institute, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Johan de Jongste
- Department of Pediatrics, Division of Respiratory Medicine, Erasmus University Medical Center/Sophia Children’s Hospital, Rotterdam, The Netherlands
| | - Henriëtte A Smit
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - Alícia Borràs-Santos
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Jan-Paul Zock
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Anne Hyvärinen
- Department Environmental Health, National Institute for Health and Welfare, Kuopio, Finland
| | - Joachim Heinrich
- Helmholtz Zentrum München, German Research Centre for Environmental Health, Institute of Epidemiology I, Neuherberg, Germany
| | - Jordi Sunyer
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- University Pompeu Fabra, Barcelona, Spain
| |
Collapse
|
46
|
Smit LAM, Hooiveld M, van der Sman-de Beer F, Opstal-van Winden AWJ, Beekhuizen J, Wouters IM, Yzermans CJ, Heederik D. Air pollution from livestock farms, and asthma, allergic rhinitis and COPD among neighbouring residents. Occup Environ Med 2013; 71:134-40. [PMID: 24142990 DOI: 10.1136/oemed-2013-101485] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVES There is an ongoing debate regarding environmental health risks of exposures to dust and microbial agents from livestock farming in the Netherlands. The aims of the study were (1) to investigate associations between indicators of air pollution from livestock farms and asthma, allergic rhinitis and chronic obstructive pulmonary disease (COPD) among neighbouring residents; and (2) to assess associations between farm exposures and endotoxin levels in participants' homes. METHODS Electronic medical records of all 92 548 patients of 27 general practices in a rural area with a high density of animal farms were analysed, followed up by a case-control component using a subsample of the full population. Distance between livestock farms and home address, presence of livestock within 500 m, and particulate matter (PM)10 emissions from farms within 500 m were computed as proxies for farm exposure. Potential confounding was investigated through a case-control questionnaire study in 269 adult patients with asthma and 546 controls. Endotoxin levels were assessed in 493 homes. RESULTS Modelled PM10 emission was inversely associated with asthma, allergic rhinitis and COPD (p<0.05). A smaller distance to the nearest farm, and the presence of swine, goat and sheep farms were also inversely related to respiratory morbidity, whereas mink farms showed positive associations with asthma and allergic rhinitis. Adjustment for confounding in the case-control study did not change results. Farm exposures were not associated with endotoxin levels in neighbouring residents' homes. CONCLUSIONS In conclusion, indicators of air pollution from livestock farms were inversely associated with respiratory morbidity among neighbouring residents.
Collapse
Affiliation(s)
- Lidwien A M Smit
- Division Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | | | | | | | | | | | | | | |
Collapse
|
47
|
Halstensen AS, Heldal KK, Wouters IM, Skogstad M, Ellingsen DG, Eduard W. Exposure to grain dust and microbial components in the Norwegian grain and compound feed industry. ACTA ACUST UNITED AC 2013; 57:1105-14. [PMID: 23813889 DOI: 10.1093/annhyg/met036] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVES The aim of this study was to extensively characterize grain workers' personal exposure during work in Norwegian grain elevators and compound feed mills, to identify differences in exposures between the workplaces and seasons, and to study the correlations between different microbial components. METHODS Samples of airborne dust (n = 166) were collected by full-shift personal sampling during work in 20 grain elevators and compound feed mills during one autumn season and two winter seasons. The personal exposure to grain dust, endotoxins, β-1→3-glucans, bacteria, and fungal spores was quantified. Correlations between dust and microbial components and differences between workplaces and seasons were investigated. Determinants of endotoxin and β-1→3-glucan exposure were evaluated by linear mixed-effect regression modeling. RESULTS The workers were exposed to an overall geometric mean of 1.0mg m(-3) inhalable grain dust [geometric standard deviation (GSD) = 3.7], 628 endotoxin units m(-3) (GSD = 5.9), 7.4 µg m(-3) of β-1→3-glucan (GSD = 5.6), 21 × 10(4) bacteria m(-3) (GSD = 7.9) and 3.6 × 10(4) fungal spores m(-3) (GSD = 3.4). The grain dust exposure levels were similar across workplaces and seasons, but the microbial content of the grain dust varied substantially between workplaces. Exposure levels of all microbial components were significantly higher in grain elevators compared with all other workplaces. The grain dust exposure was significantly correlated (Pearson's r) with endotoxin (rp = 0.65), β-1→3-glucan (rp = 0.72), bacteria (rp = 0.44) and fungal spore (rp = 0.48) exposure, whereas the explained variances were strongly dependent on the workplace. Bacteria, grain dust, and workplace were important determinants for endotoxin exposure, whereas fungal spores, grain dust, and workplace were important determinants for β-1→3-glucan exposure. CONCLUSIONS Although the workers were exposed to a relatively low mean dust level, the microbial exposure was high. Furthermore, the exposure levels of microbial components varied between workplaces although the dust levels were similar. We therefore recommend that exposure levels at different workplaces should be assessed separately and a task-based assessment should be done for detailed evaluation of efficient dust-reducing measures. The microbial content and knowledge of health effects of the microbial components should be considered in health risk evaluations of these workplaces.
Collapse
Affiliation(s)
- Anne Straumfors Halstensen
- Department of Chemical and Biological Work Environment, National Institute of Occupational Health, PO Box 8149 Dep, Oslo N-0033, Norway
| | | | | | | | | | | |
Collapse
|
48
|
Basinas I, Schlünssen V, Takai H, Heederik D, Omland Ø, Wouters IM, Sigsgaard T, Kromhout H. Exposure to inhalable dust and endotoxin among Danish pig farmers affected by work tasks and stable characteristics. ACTA ACUST UNITED AC 2013; 57:1005-19. [PMID: 23792973 DOI: 10.1093/annhyg/met029] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE To identify working tasks and stable characteristics that determine intensity and variability of personal exposure to dust and endotoxin among pig farmers. METHODS Three hundred fifty-four personal full-shift measurements were performed in 231 farmers employed in 53 Danish pig farms. Filters were gravimetrically analysed for inhalable dust and for endotoxin by the Limulus amebocyte lysate assay. Information on working tasks and stable characteristics were collected using self-reported activity diaries and walk-through surveys performed in conjunction with the measurements. Associations between log-transformed dust and endotoxin exposure and working tasks and stable characteristics were examined using linear mixed-effects analysis. In these models, worker and farm identity were treated as random effects and working tasks and stable characteristics as fixed effects. Both separate and combined models for tasks and stable characteristics were elaborated. RESULTS Inhalable dust concentrations ranged between 0.1 and 48 mg m(-3) and endotoxin concentrations varied between 9.2 and 370,000 EU m(-3). Field work activities played a dominant role on the exposure variability. Indoor working tasks with intense animal activity or handling of feed materials increased exposure concentrations, whereas engagement in field work was associated with lower exposure concentrations. High-pressure water cleaning increased endotoxin exposure but did not affect exposure to inhalable dust. Stable characteristics related to feeding practices and type of ventilation were determinants of exposure to inhalable dust. For endotoxin, the most important determinants were use of dry feed and slatted floor coverage. Feeding practices solely explained all between-farms variability in exposure to inhalable dust and endotoxin. CONCLUSIONS These findings suggest feeding systems, flooring and ventilation to be potential areas where improved methods can reduce exposure to dust and endotoxin among pig farmers. Further, they highlight particular tasks involving feeding and intense animal handling as sources of very high levels of exposure. The pig farming industry is encouraged to focus on exposure reduction. Use of respirators during performance of working tasks where levels of exposure are particularly high ought to be considered until adequate hygienic solutions have been established.
Collapse
Affiliation(s)
- Ioannis Basinas
- Department of Public Health, Section for Environment, Occupation and Health, Danish Ramazzini Center, Aarhus University, Bartholins Allé 2, Building 1260, 8000 Aarhus C, Denmark
| | | | | | | | | | | | | | | |
Collapse
|
49
|
Casas L, Tischer C, Wouters IM, Valkonen M, Gehring U, Doekes G, Torrent M, Pekkanen J, Garcia-Esteban R, Hyvärinen A, Heinrich J, Sunyer J. Endotoxin, extracellular polysaccharides, and β(1-3)-glucan concentrations in dust and their determinants in four European birth cohorts: results from the HITEA project. Indoor Air 2013; 23:208-18. [PMID: 23176390 DOI: 10.1111/ina.12017] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2012] [Accepted: 11/12/2012] [Indexed: 05/15/2023]
Abstract
UNLABELLED Early-life exposure to microbial agents may play a protective role in asthma and allergies development. Geographical differences in the prevalence of these diseases exist, but the differences in early-life indoor microbial agent levels and their determinants have been hardly studied. We aimed to describe the early-life levels of endotoxin, extracellular polysaccharides (EPS), and β(1-3)-glucans in living room dust of four geographically spread European birth cohorts (LISA in Germany, PIAMA in the Netherlands, INMA in Spain, and LUKAS2 in Finland) and to assess their determinants. A total of 1572 dust samples from living rooms of participants were analyzed for endotoxin, Penicillium/Aspergillus EPS, and β(1-3)-glucans. Information on potential determinants was obtained through questionnaires. Concentrations of endotoxin, EPS, and β(1-3)-glucans were different across cohorts. Concentrations of endotoxin and EPS were respectively lower and higher in INMA than in other cohorts, while glucans were higher in LUKAS2. Season of sampling, dog ownership, dampness, and the number of people living at home were significantly associated with concentrations of at least one microbial agent, with heterogeneity of effect estimates of the determinants across cohorts. In conclusion, both early-life microbial exposure levels and exposure determinants differ across cohorts derived from diverse European countries. PRACTICAL IMPLICATIONS This study adds evidence of variability in the levels of indoor endotoxin, extracellular polysaccharide, and β(1-3)-glucans across four geographically spread European regions. Furthermore, we observed heterogeneity across regions in the effect of exposure determinants. We hypothesize that the variations observed in our study may play a role in the differences in asthma and allergies prevalences across countries.
Collapse
Affiliation(s)
- L Casas
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
50
|
Brooks CR, Siebers R, Crane J, Noss I, Wouters IM, Sander I, Raulf-Heimsoth M, Thorne PS, Metwali N, Douwes J. Measurement of β-(1,3)-glucan in household dust samples using Limulus amebocyte assay and enzyme immunoassays: an inter-laboratory comparison. Environ Sci Process Impacts 2013; 15:405-411. [PMID: 25208705 DOI: 10.1039/c2em30749a] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Environmental levels of β-(1,3)-glucan, an inflammatory fungal cell wall component, have been suggested to be related to respiratory symptoms. However there is currently little data comparing β-(1,3)-glucan detection methods and/or results obtained in different laboratories. The aim of this study was to compare levels of β-(1,3)-glucans detected in household dust samples (n = 40) using different extraction/detection methods (Limulus amebocyte assay (LAL), inhibition enzyme immunoassay (EIA) and sandwich EIA) in five different laboratories. Dust sample aliquots were sent to participating centres, extracted and analysed for β-(1,3)-glucan according to standard in-house procedures. Significant differences in the levels of β-(1,3)-glucan were observed between all laboratories (geometric mean levels ranging from 15.4 μg g (-1) to 4754 μg g(-1) dust; p < 0.0001) with the exception of those using a similar LAL method. The inhibition EIA used in laboratory D produced mean β-(1,3)-glucan measurements 80-100 times higher than the LAL assays, 4 times higher than the sandwich EIA in the same lab, 17.6 times those obtained with the EIA in lab E and 363 times those obtained in the EIA in laboratory C. Pearson's correlations generally showed significant associations between methods and laboratories, particularly those using similar methodology (R ranging from 0.5 to 0.8; p < 0.001), although some poor and even inverse correlations were observed. Bland-Altman analyses showed moderate to good agreement between most assays, although clear absolute differences were observed. In conclusion, although results obtained with different methods were often significantly correlated and therefore comparable in relative terms, direct comparison of results between laboratories and assays may be inappropriate.
Collapse
Affiliation(s)
- Collin R Brooks
- Centre for Public Health Research, Massey University Wellington Campus, Wellington, New Zealand.
| | | | | | | | | | | | | | | | | | | |
Collapse
|