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\n  \n 2024\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Environmental and social inequalities in health: Neighborhood-level composite indices as a decision-making tool.\n \n \n \n \n\n\n \n Bouhadj, L.; Cuny, D.; Chautard, G.; Occelli, F.; Deram, A.; and Lanier, C.\n\n\n \n\n\n\n Environmental Science & Policy, 154: 103696. April 2024.\n \n\n\n\n
\n\n\n\n \n \n \"EnvironmentalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{bouhadj_environmental_2024,\n\ttitle = {Environmental and social inequalities in health: {Neighborhood}-level composite indices as a decision-making tool},\n\tvolume = {154},\n\tissn = {1462-9011},\n\tshorttitle = {Environmental and social inequalities in health},\n\turl = {https://www.sciencedirect.com/science/article/pii/S1462901124000303},\n\tdoi = {10.1016/j.envsci.2024.103696},\n\tabstract = {The environmental health research carried out on a broad scale does not provide decision-makers with tools for managing environmental and social inequalities in health on a fine scale. The goal of the present study was to develop a method for neighborhood-level territorial diagnosis that decision-makers can use to incorporate health issues into their planning policies. The primary objective was to analyze composite spatial vulnerability and resilience indices in the Lille metropolitan area in northern France. The secondary objective was to refine these results by taking account of neighborhood-level characteristics. The study highlights the interest of transdisciplinary research and collaboration with local experts to effectively evaluate and address environmental health issue (more than 30 experts gathered and 12 thematic workshops organized). The results showed that the proposed method allows for the comparison of neighborhoods; however, certain specificities may be underestimated. The real importance of certain variables linked to specific contexts can be minimized, which can distort our understanding of the challenges these neighborhoods face. Analyzing the environmental and social inequalities in health in the metropolitan area's center vs. its belt made it possible to take better account of the characteristics of the areas studied.},\n\turldate = {2024-02-16},\n\tjournal = {Environmental Science \\& Policy},\n\tauthor = {Bouhadj, Laakri and Cuny, Damien and Chautard, Guy and Occelli, Florent and Deram, Annabelle and Lanier, Caroline},\n\tmonth = apr,\n\tyear = {2024},\n\tkeywords = {Health, Indices, Neighborhoods, Planning policies, Resilience, Vulnerability},\n\tpages = {103696},\n}\n\n
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\n The environmental health research carried out on a broad scale does not provide decision-makers with tools for managing environmental and social inequalities in health on a fine scale. The goal of the present study was to develop a method for neighborhood-level territorial diagnosis that decision-makers can use to incorporate health issues into their planning policies. The primary objective was to analyze composite spatial vulnerability and resilience indices in the Lille metropolitan area in northern France. The secondary objective was to refine these results by taking account of neighborhood-level characteristics. The study highlights the interest of transdisciplinary research and collaboration with local experts to effectively evaluate and address environmental health issue (more than 30 experts gathered and 12 thematic workshops organized). The results showed that the proposed method allows for the comparison of neighborhoods; however, certain specificities may be underestimated. The real importance of certain variables linked to specific contexts can be minimized, which can distort our understanding of the challenges these neighborhoods face. Analyzing the environmental and social inequalities in health in the metropolitan area's center vs. its belt made it possible to take better account of the characteristics of the areas studied.\n
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\n  \n 2023\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Description of the multi-dimensional environment at the territorial scale: A holistic framework using cluster analysis and open data in France.\n \n \n \n \n\n\n \n Paumelle, M.; Occelli, F.; Wakim, L. M.; Brousmiche, D.; Bouhadj, L.; Ternynck, C.; Lanier, C.; Cuny, D.; and Deram, A.\n\n\n \n\n\n\n Ecological Indicators, 154: 110562. October 2023.\n \n\n\n\n
\n\n\n\n \n \n \"DescriptionPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{paumelle_description_2023,\n\ttitle = {Description of the multi-dimensional environment at the territorial scale: {A} holistic framework using cluster analysis and open data in {France}},\n\tvolume = {154},\n\tissn = {1470-160X},\n\tshorttitle = {Description of the multi-dimensional environment at the territorial scale},\n\turl = {https://www.sciencedirect.com/science/article/pii/S1470160X23007045},\n\tdoi = {10.1016/j.ecolind.2023.110562},\n\tabstract = {The impact of the environment on health is usually studied in a segmented manner, with a focus on a single source, pollutant, or exposure medium. To better understand spatial health inequalities, it is necessary to adopt multi-dimensional approaches to comprehensively describe the environment, especially at the territorial level. Clustering methods, which allow for the development of territorial typologies, are particularly interesting for this purpose. By simplifying complex datasets, these methods may reveal spatial patterns and geographical phenomena that would otherwise be difficult to observe. Based on the existing literature, there is a clear need for large-scale territorial typologies that comprehensively address the physical and outdoor environment. A robust and transposable framework was developed and applied to 3,041 municipalities in Northern France using open environmental data. It consists of five main steps: data collection, data selection, data preparation, cluster analysis, and cluster interpretation. This methodology allows for the development of an environmental classification of municipalities by identifying the primary environmental profiles represented in the study area. Cluster detection was performed based on 39 spatialized indicators that describe the level of environmental contamination (air, water, soil), the level of pollutant emissions, the proximity to emission sources, the land use, the agricultural practices, and the degree of naturalness in every municipality. As a result, municipalities were allocated into one of the seven following environmental profiles: (i) Dense urban centers; (ii) Peripheral urban municipalities; (iii) Intensive agricultural municipalities under urban influence; (iv) Intensive agricultural municipalities beyond urban influence; (v) More extensive and diversified agricultural municipalities; (vi) Municipalities with predominant livestock activities and significant natural areas; (vii) Municipalities with predominant natural areas: forests, wetlands, and water surfaces. The resulting typology goes far beyond a simple description of the urban–rural continuum. Five profiles of rural municipalities were identified, primarily distinguished by agricultural practices, degree of naturalness, and intensity of urban pressure. This approach enables researchers to identify the combination of environmental factors that shape a territory. It provides a more comprehensive and nuanced understanding of how environmental pressures and amenities are distributed in space and overlap with each other. By linking these typologies with health data, it could provide new insights into the etiology of complex diseases with unidentified environmental risk factors. Relying on open data, this framework is a valuable tool to assess etiological hypotheses at the territorial level.},\n\tlanguage = {en},\n\turldate = {2023-07-11},\n\tjournal = {Ecological Indicators},\n\tauthor = {Paumelle, M. and Occelli, F. and Wakim, L. M. and Brousmiche, D. and Bouhadj, L. and Ternynck, C. and Lanier, C. and Cuny, D. and Deram, A.},\n\tmonth = oct,\n\tyear = {2023},\n\tkeywords = {Classification methods, Environmental amenities, Environmental pressures, Open environmental data, Spatialized indicators, Territorial profiles},\n\tpages = {110562},\n}\n\n
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\n The impact of the environment on health is usually studied in a segmented manner, with a focus on a single source, pollutant, or exposure medium. To better understand spatial health inequalities, it is necessary to adopt multi-dimensional approaches to comprehensively describe the environment, especially at the territorial level. Clustering methods, which allow for the development of territorial typologies, are particularly interesting for this purpose. By simplifying complex datasets, these methods may reveal spatial patterns and geographical phenomena that would otherwise be difficult to observe. Based on the existing literature, there is a clear need for large-scale territorial typologies that comprehensively address the physical and outdoor environment. A robust and transposable framework was developed and applied to 3,041 municipalities in Northern France using open environmental data. It consists of five main steps: data collection, data selection, data preparation, cluster analysis, and cluster interpretation. This methodology allows for the development of an environmental classification of municipalities by identifying the primary environmental profiles represented in the study area. Cluster detection was performed based on 39 spatialized indicators that describe the level of environmental contamination (air, water, soil), the level of pollutant emissions, the proximity to emission sources, the land use, the agricultural practices, and the degree of naturalness in every municipality. As a result, municipalities were allocated into one of the seven following environmental profiles: (i) Dense urban centers; (ii) Peripheral urban municipalities; (iii) Intensive agricultural municipalities under urban influence; (iv) Intensive agricultural municipalities beyond urban influence; (v) More extensive and diversified agricultural municipalities; (vi) Municipalities with predominant livestock activities and significant natural areas; (vii) Municipalities with predominant natural areas: forests, wetlands, and water surfaces. The resulting typology goes far beyond a simple description of the urban–rural continuum. Five profiles of rural municipalities were identified, primarily distinguished by agricultural practices, degree of naturalness, and intensity of urban pressure. This approach enables researchers to identify the combination of environmental factors that shape a territory. It provides a more comprehensive and nuanced understanding of how environmental pressures and amenities are distributed in space and overlap with each other. By linking these typologies with health data, it could provide new insights into the etiology of complex diseases with unidentified environmental risk factors. Relying on open data, this framework is a valuable tool to assess etiological hypotheses at the territorial level.\n
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\n \n\n \n \n \n \n \n \n Spatial scale and spatial effects: Shedding light on how a change of scale can affect the characterization of environmental health inequalities.\n \n \n \n \n\n\n \n Brousmiche, D.; Lanier, C.; Occelli, F.; Pochet, L.; Degezelle, S.; Genin, M.; Deram, A.; and Cuny, D.\n\n\n \n\n\n\n Environmental Science & Policy, 144: 20–30. June 2023.\n \n\n\n\n
\n\n\n\n \n \n \"SpatialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{brousmiche_spatial_2023,\n\ttitle = {Spatial scale and spatial effects: {Shedding} light on how a change of scale can affect the characterization of environmental health inequalities},\n\tvolume = {144},\n\tissn = {14629011},\n\tshorttitle = {Spatial scale and spatial effects},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1462901123000758},\n\tdoi = {10.1016/j.envsci.2023.03.005},\n\tlanguage = {en},\n\turldate = {2023-03-15},\n\tjournal = {Environmental Science \\& Policy},\n\tauthor = {Brousmiche, Delphine and Lanier, Caroline and Occelli, Florent and Pochet, Louis and Degezelle, Samuel and Genin, Michael and Deram, Annabelle and Cuny, Damien},\n\tmonth = jun,\n\tyear = {2023},\n\tpages = {20--30},\n}\n\n
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\n \n\n \n \n \n \n \n \n How do territorial characteristics affect spatial inequalities in the risk of coronary heart disease?.\n \n \n \n \n\n\n \n Brousmiche, D.; Lanier, C.; Cuny, D.; Frevent, C.; Genin, M.; Blanc-Garin, C.; Amouyel, P.; Deram, A.; Occelli, F.; and Meirhaeghe, A.\n\n\n \n\n\n\n Science of The Total Environment, 867: 161563. April 2023.\n \n\n\n\n
\n\n\n\n \n \n \"HowPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{brousmiche_how_2023,\n\ttitle = {How do territorial characteristics affect spatial inequalities in the risk of coronary heart disease?},\n\tvolume = {867},\n\tissn = {0048-9697},\n\turl = {https://www.sciencedirect.com/science/article/pii/S004896972300178X},\n\tdoi = {10.1016/j.scitotenv.2023.161563},\n\tabstract = {Background\nCardiovascular diseases remain the leading cause of death and disabilities worldwide, with coronary heart diseases being the most frequently diagnosed. Their multifactorial etiology involves individual, behavioral and territorial determinants, and thus requires the implementation of multidimensional approaches to assess links between territorial characteristics and the incidence of coronary heart diseases.\nContext and objectives\nThis study was carried out in a densely populated area located in the north of France with multiple sources of pollutants. The aim of this research was therefore to establish complex territorial profiles that have been characterized by the standardized incidence, thereby identifying the influences of determinants that can be related to a beneficial or a deleterious effect on cardiovascular health.\nMethods\nForty-four variables related to economic, social, health, environment and services dimensions with an established or suspected impact on cardiovascular health were used to describe the multidimensional characteristics involved in cardiovascular health.\nResults\nThree complex territorial profiles have been highlighted and characterized by the standardized incidence rate (SIR) of coronary heart diseases after adjustment for age and gender. Profile 1 was characterized by an SIR of 0.895 (sd: 0.143) and a higher number of determinants that revealed favorable territorial conditions. Profiles 2 and 3 were characterized by SIRs of respectively 1.225 (sd: 0.242) and 1.119 (sd: 0.273). Territorial characteristics among these profiles of over-incidence were nevertheless dissimilar. Profile 2 revealed higher deprivation, lower vegetation and lower atmospheric pollution, while profile 3 displayed a rather privileged population with contrasted territorial conditions.\nConclusion\nThis methodology permitted the characterization of the multidimensional determinants involved in cardiovascular health, whether they have a negative or a positive impact, and could provide stakeholders with a diagnostic tool to implement contextualized public health policies to prevent coronary heart diseases.},\n\tlanguage = {en},\n\turldate = {2023-01-13},\n\tjournal = {Science of The Total Environment},\n\tauthor = {Brousmiche, Delphine and Lanier, Caroline and Cuny, Damien and Frevent, Camille and Genin, Michael and Blanc-Garin, Carine and Amouyel, Philippe and Deram, Annabelle and Occelli, Florent and Meirhaeghe, Aline},\n\tmonth = apr,\n\tyear = {2023},\n\tkeywords = {Cardiovascular health, Complex territorial profile, Multidimensional determinants, Resilience, Vulnerability},\n\tpages = {161563},\n}\n\n
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\n Background Cardiovascular diseases remain the leading cause of death and disabilities worldwide, with coronary heart diseases being the most frequently diagnosed. Their multifactorial etiology involves individual, behavioral and territorial determinants, and thus requires the implementation of multidimensional approaches to assess links between territorial characteristics and the incidence of coronary heart diseases. Context and objectives This study was carried out in a densely populated area located in the north of France with multiple sources of pollutants. The aim of this research was therefore to establish complex territorial profiles that have been characterized by the standardized incidence, thereby identifying the influences of determinants that can be related to a beneficial or a deleterious effect on cardiovascular health. Methods Forty-four variables related to economic, social, health, environment and services dimensions with an established or suspected impact on cardiovascular health were used to describe the multidimensional characteristics involved in cardiovascular health. Results Three complex territorial profiles have been highlighted and characterized by the standardized incidence rate (SIR) of coronary heart diseases after adjustment for age and gender. Profile 1 was characterized by an SIR of 0.895 (sd: 0.143) and a higher number of determinants that revealed favorable territorial conditions. Profiles 2 and 3 were characterized by SIRs of respectively 1.225 (sd: 0.242) and 1.119 (sd: 0.273). Territorial characteristics among these profiles of over-incidence were nevertheless dissimilar. Profile 2 revealed higher deprivation, lower vegetation and lower atmospheric pollution, while profile 3 displayed a rather privileged population with contrasted territorial conditions. Conclusion This methodology permitted the characterization of the multidimensional determinants involved in cardiovascular health, whether they have a negative or a positive impact, and could provide stakeholders with a diagnostic tool to implement contextualized public health policies to prevent coronary heart diseases.\n
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\n  \n 2021\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Perspectives on particle-related health risk assessment.\n \n \n \n \n\n\n \n Rorat, A.; Lanier, C.; Gorge, H.; Jaeg, J.; Cuny, D.; Deram, A.; and Canivet, L.\n\n\n \n\n\n\n Environnement Risques Santé, 20(4): 389–394. August 2021.\n \n\n\n\n
\n\n\n\n \n \n \"PerspectivesPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{rorat_perspectives_2021,\n\ttitle = {Perspectives on particle-related health risk assessment},\n\tvolume = {20},\n\tissn = {1635-0421, 1635-0421},\n\turl = {http://www.john-libbey-eurotext.fr/medline.md?doi=10.1684/ers.2021.1571},\n\tdoi = {10.1684/ers.2021.1571},\n\tnumber = {4},\n\turldate = {2021-08-21},\n\tjournal = {Environnement Risques Santé},\n\tauthor = {Rorat, Agnieszka and Lanier, Caroline and Gorge, Hélène and Jaeg, Jean-Philippe and Cuny, Damien and Deram, Annabelle and Canivet, Ludivine},\n\tmonth = aug,\n\tyear = {2021},\n\tpages = {389--394},\n}\n\n
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\n \n\n \n \n \n \n \n \n Data for the assessment of vulnerability and resilience in the field of environmental health in the north of France.\n \n \n \n \n\n\n \n Brousmiche, D.; Genin, M.; Occelli, F.; Frank, L.; Deram, A.; Cuny, D.; and Lanier, C.\n\n\n \n\n\n\n Data in Brief, 37: 107220. August 2021.\n \n\n\n\n
\n\n\n\n \n \n \"DataPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{brousmiche_data_2021,\n\ttitle = {Data for the assessment of vulnerability and resilience in the field of environmental health in the north of {France}},\n\tvolume = {37},\n\tissn = {23523409},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S2352340921005047},\n\tdoi = {10.1016/j.dib.2021.107220},\n\tlanguage = {en},\n\turldate = {2021-06-21},\n\tjournal = {Data in Brief},\n\tauthor = {Brousmiche, Delphine and Genin, Michaël and Occelli, Florent and Frank, Lukas and Deram, Annabelle and Cuny, Damien and Lanier, Caroline},\n\tmonth = aug,\n\tyear = {2021},\n\tpages = {107220},\n}\n\n
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\n  \n 2020\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Exposition aux particules atmosphériques : lien entre caractérisation physicochimique et impact sur la santé.\n \n \n \n \n\n\n \n Rorat, A.; Lanier, C.; Cuny, D.; Deram, A.; and Canivet, L.\n\n\n \n\n\n\n Technical Report 18-0677/1A, RECORD, September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ExpositionPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{rorat_exposition_2020,\n\ttitle = {Exposition aux particules atmosphériques : lien entre caractérisation physicochimique et impact sur la santé},\n\turl = {https://record-net.org/rapports},\n\tnumber = {18-0677/1A},\n\tinstitution = {RECORD},\n\tauthor = {Rorat, Agnieszka and Lanier, Caroline and Cuny, Damien and Deram, Annabelle and Canivet, Ludivine},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {203},\n}\n\n
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\n \n\n \n \n \n \n \n \n Méthodes de prélèvements et techniques de caractérisations des particules.\n \n \n \n \n\n\n \n Rorat, A.; Lanier, C.; Cuny, D.; Deram, A.; and Canivet, L.\n\n\n \n\n\n\n Technical Report 18-0677/1B, RECORD, September 2020.\n \n\n\n\n
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@techreport{rorat_methodes_2020,\n\ttitle = {Méthodes de prélèvements et techniques de caractérisations des particules},\n\turl = {https://record-net.org/rapports},\n\tnumber = {18-0677/1B},\n\tinstitution = {RECORD},\n\tauthor = {Rorat, Agnieszka and Lanier, Caroline and Cuny, Damien and Deram, Annabelle and Canivet, Ludivine},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {40},\n}\n\n
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\n \n\n \n \n \n \n \n \n Spatial analysis of hypospadias cases in northern France: taking clinical data into account.\n \n \n \n \n\n\n \n Lauriot Dit Prevost, A.; Genin, M.; Occelli, F.; Priso, R.; Besson, R.; Lanier, C.; and Sharma, D.\n\n\n \n\n\n\n BMC Pediatrics, 20(1): 442. December 2020.\n \n\n\n\n
\n\n\n\n \n \n \"SpatialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{lauriot_dit_prevost_spatial_2020,\n\ttitle = {Spatial analysis of hypospadias cases in northern {France}: taking clinical data into account},\n\tvolume = {20},\n\tissn = {1471-2431},\n\tshorttitle = {Spatial analysis of hypospadias cases in northern {France}},\n\turl = {https://bmcpediatr.biomedcentral.com/articles/10.1186/s12887-020-02332-1},\n\tdoi = {10.1186/s12887-020-02332-1},\n\tabstract = {Abstract\n            \n              Background\n              Strong evidence for a causal role of environmental factors in a congenital anomaly is still difficult to produce. The collection of statistical data is crucial for gaining a better understanding of the epidemiology and pathophysiology of these anomalies. We aimed to evaluate spatial variations in hypospadias within our region and it’s association to socioeconomic and ecological factors, taking clinical data into account.\n            \n            \n              Methods\n              All boys with hypospadias born in northern France and seen in Lille University Medical Center (Lille, France) between 1999 and 2012 were included in the analysis. We retrospectively collected geographic data, clinical data (especially known confounding factors associated with an elevated risk of hypospadias), and demographic, socio-economic and ecological data. We analyzed the entire study population and subsequently the subset of boys lacking confounding factors.\n            \n            \n              Results\n              \n                The study sample of 975 cases of hypospadias over the 13-year period resulted in an incidence of 25.4/10,000 male births, and was characterized by significant spatial heterogeneity (\n                p\n                 {\\textless} 0.005) and autocorrelation (\n                p\n                 {\\textless} 0.001). We detected two high-incidence clusters that differed with regard to their land use. After the exclusion of 221 patients with confounding factors, two high-incidence clusters with significant disease risks (1.65 and 1.75, respectively;\n                p\n                 {\\textless} 0.001) and a significant difference in land use (\n                p\n                 {\\textless} 0.001) again appeared. The first cluster contained a higher median [interquartile range] proportion of artificialized land (0.40 [0.22;0.47]) than the remaining “neutral areas” (0.19 [0.08;0.53]) did (\n                p\n                 {\\textless} 0.001). Conversely, the second cluster contained a higher median proportion of rural land (0.90 [0.78;0.96]) than the “neutral areas” (0.81 [0.47;0.92]) did (\n                p\n                 {\\textless} 0.001). The median deprivation index was significantly lower in the urban cluster (0.47 [0.42;0.55]) and significantly higher in the rural cluster (0.69 [0.56;0.73]) (\n                p\n                 {\\textless} 0.001).\n              \n            \n            \n              Conclusions\n              Our results evidenced the heterogeneous spatial distribution of cases of hypospadias in northern France. We identified two clusters with different environmental and social patterns – even after the exclusion of known confounding factors.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2020-11-11},\n\tjournal = {BMC Pediatrics},\n\tauthor = {Lauriot Dit Prevost, Arthur and Genin, Michael and Occelli, Florent and Priso, René-Hilaire and Besson, Remi and Lanier, Caroline and Sharma, Dyuti},\n\tmonth = dec,\n\tyear = {2020},\n\tpages = {442},\n}\n\n
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\n Abstract Background Strong evidence for a causal role of environmental factors in a congenital anomaly is still difficult to produce. The collection of statistical data is crucial for gaining a better understanding of the epidemiology and pathophysiology of these anomalies. We aimed to evaluate spatial variations in hypospadias within our region and it’s association to socioeconomic and ecological factors, taking clinical data into account. Methods All boys with hypospadias born in northern France and seen in Lille University Medical Center (Lille, France) between 1999 and 2012 were included in the analysis. We retrospectively collected geographic data, clinical data (especially known confounding factors associated with an elevated risk of hypospadias), and demographic, socio-economic and ecological data. We analyzed the entire study population and subsequently the subset of boys lacking confounding factors. Results The study sample of 975 cases of hypospadias over the 13-year period resulted in an incidence of 25.4/10,000 male births, and was characterized by significant spatial heterogeneity ( p  \\textless 0.005) and autocorrelation ( p  \\textless 0.001). We detected two high-incidence clusters that differed with regard to their land use. After the exclusion of 221 patients with confounding factors, two high-incidence clusters with significant disease risks (1.65 and 1.75, respectively; p  \\textless 0.001) and a significant difference in land use ( p  \\textless 0.001) again appeared. The first cluster contained a higher median [interquartile range] proportion of artificialized land (0.40 [0.22;0.47]) than the remaining “neutral areas” (0.19 [0.08;0.53]) did ( p  \\textless 0.001). Conversely, the second cluster contained a higher median proportion of rural land (0.90 [0.78;0.96]) than the “neutral areas” (0.81 [0.47;0.92]) did ( p  \\textless 0.001). The median deprivation index was significantly lower in the urban cluster (0.47 [0.42;0.55]) and significantly higher in the rural cluster (0.69 [0.56;0.73]) ( p  \\textless 0.001). Conclusions Our results evidenced the heterogeneous spatial distribution of cases of hypospadias in northern France. We identified two clusters with different environmental and social patterns – even after the exclusion of known confounding factors.\n
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\n \n\n \n \n \n \n \n \n How can we analyze environmental health resilience and vulnerability? A joint analysis with composite indices applied to the north of France.\n \n \n \n \n\n\n \n Brousmiche, D.; Genin, M.; Occelli, F.; Frank, L.; Deram, A.; Cuny, D.; and Lanier, C.\n\n\n \n\n\n\n Science of The Total Environment,142983. October 2020.\n \n\n\n\n
\n\n\n\n \n \n \"HowPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{brousmiche_how_2020,\n\ttitle = {How can we analyze environmental health resilience and vulnerability? {A} joint analysis with composite indices applied to the north of {France}},\n\tissn = {00489697},\n\tshorttitle = {How can we analyze environmental health resilience and vulnerability?},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S004896972036513X},\n\tdoi = {10.1016/j.scitotenv.2020.142983},\n\tlanguage = {en},\n\turldate = {2020-11-03},\n\tjournal = {Science of The Total Environment},\n\tauthor = {Brousmiche, Delphine and Genin, Michaël and Occelli, Florent and Frank, Lukas and Deram, Annabelle and Cuny, Damien and Lanier, Caroline},\n\tmonth = oct,\n\tyear = {2020},\n\tpages = {142983},\n}\n\n
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\n \n\n \n \n \n \n \n \n Characterization of the spatial heterogeneity of environmental and social inequalities in health: a spatialized approach to the resilience-vulnerability balance.\n \n \n \n \n\n\n \n Lanier, C.; Brousmiche, D.; Deram, A.; Frank, L.; Genin, M.; Occelli, F.; and Cuny, D.\n\n\n \n\n\n\n Environnement Risques Santé, 19(4): 250–256. August 2020.\n \n\n\n\n
\n\n\n\n \n \n \"CharacterizationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{lanier_characterization_2020,\n\ttitle = {Characterization of the spatial heterogeneity of environmental and social inequalities in health: a spatialized approach to the resilience-vulnerability balance},\n\tvolume = {19},\n\tissn = {1635-0421, 1635-0421},\n\tshorttitle = {Characterization of the spatial heterogeneity of environmental and social inequalities in health},\n\turl = {http://www.john-libbey-eurotext.fr/medline.md?doi=10.1684/ers.2020.1451},\n\tdoi = {10.1684/ers.2020.1451},\n\tnumber = {4},\n\turldate = {2020-08-24},\n\tjournal = {Environnement Risques Santé},\n\tauthor = {Lanier, Caroline and Brousmiche, Delphine and Deram, Annabelle and Frank, Lukas and Genin, Michaël and Occelli, Florent and Cuny, Damien},\n\tmonth = aug,\n\tyear = {2020},\n\tpages = {250--256},\n}\n\n
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\n \n\n \n \n \n \n \n \n Comparative toxigenicity and associated mutagenicity of Aspergillus fumigatus and Aspergillus flavus group isolates collected from the agricultural environment.\n \n \n \n \n\n\n \n Lanier, C.; Garon, D.; Heutte, N.; Kientz, V.; and André, V.\n\n\n \n\n\n\n Toxins, 12(7): 458. July 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ComparativePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{lanier_comparative_2020,\n\ttitle = {Comparative toxigenicity and associated mutagenicity of {Aspergillus} fumigatus and {Aspergillus} flavus group isolates collected from the agricultural environment},\n\tvolume = {12},\n\tissn = {2072-6651},\n\turl = {https://www.mdpi.com/2072-6651/12/7/458},\n\tdoi = {10.3390/toxins12070458},\n\tabstract = {The mutagenic patterns of A. flavus, A. parasiticus and A. fumigatus extracts were evaluated. These strains of toxigenic Aspergillus were collected from the agricultural environment. The Ames test was performed on Salmonella typhimurium strains TA98, TA100 and TA102, without and with S9mix (exogenous metabolic activation system). These data were compared with the mutagenicity of the corresponding pure mycotoxins tested alone or in reconstituted mixtures with equivalent concentrations, in order to investigate the potential interactions between these molecules and/or other natural metabolites. At least 3 mechanisms are involved in the mutagenic response of these aflatoxins: firstly, the formation of AFB1-8,9-epoxide upon addition of S9mix, secondly the likely formation of oxidative damage as indicated by significant responses in TA102, and thirdly, a direct mutagenicity observed for higher doses of some extracts or associated mycotoxins, which does not therefore involve exogenously activated intermediates. Besides the identified mycotoxins (AFB1, AFB2 and AFM1), additional “natural” compounds contribute to the global mutagenicity of the extracts. On the other hand, AFB2 and AFM1 modulate negatively the mutagenicity of AFB1 when mixed in binary or tertiary mixtures. Thus, the evaluation of the mutagenicity of “natural” mixtures is an integrated parameter that better reflects the potential impact of exposure to toxigenic Aspergilli.},\n\tlanguage = {en},\n\tnumber = {7},\n\turldate = {2020-07-23},\n\tjournal = {Toxins},\n\tauthor = {Lanier, Caroline and Garon, David and Heutte, Natacha and Kientz, Valérie and André, Véronique},\n\tmonth = jul,\n\tyear = {2020},\n\tpages = {458},\n}\n\n
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\n The mutagenic patterns of A. flavus, A. parasiticus and A. fumigatus extracts were evaluated. These strains of toxigenic Aspergillus were collected from the agricultural environment. The Ames test was performed on Salmonella typhimurium strains TA98, TA100 and TA102, without and with S9mix (exogenous metabolic activation system). These data were compared with the mutagenicity of the corresponding pure mycotoxins tested alone or in reconstituted mixtures with equivalent concentrations, in order to investigate the potential interactions between these molecules and/or other natural metabolites. At least 3 mechanisms are involved in the mutagenic response of these aflatoxins: firstly, the formation of AFB1-8,9-epoxide upon addition of S9mix, secondly the likely formation of oxidative damage as indicated by significant responses in TA102, and thirdly, a direct mutagenicity observed for higher doses of some extracts or associated mycotoxins, which does not therefore involve exogenously activated intermediates. Besides the identified mycotoxins (AFB1, AFB2 and AFM1), additional “natural” compounds contribute to the global mutagenicity of the extracts. On the other hand, AFB2 and AFM1 modulate negatively the mutagenicity of AFB1 when mixed in binary or tertiary mixtures. Thus, the evaluation of the mutagenicity of “natural” mixtures is an integrated parameter that better reflects the potential impact of exposure to toxigenic Aspergilli.\n
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\n \n\n \n \n \n \n \n \n Crohn’s disease and environmental contamination: Current challenges and perspectives in exposure evaluation.\n \n \n \n \n\n\n \n Tenailleau, Q. M.; Lanier, C.; Gower-Rousseau, C.; Cuny, D.; Deram, A.; and Occelli, F.\n\n\n \n\n\n\n Environmental Pollution, 263: 114599. August 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Crohn’sPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{tenailleau_crohns_2020,\n\ttitle = {Crohn’s disease and environmental contamination: {Current} challenges and perspectives in exposure evaluation},\n\tvolume = {263},\n\tissn = {02697491},\n\tshorttitle = {Crohn’s disease and environmental contamination},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0269749119360026},\n\tdoi = {10.1016/j.envpol.2020.114599},\n\tlanguage = {en},\n\turldate = {2020-04-24},\n\tjournal = {Environmental Pollution},\n\tauthor = {Tenailleau, Quentin M. and Lanier, Caroline and Gower-Rousseau, Corinne and Cuny, Damien and Deram, Annabelle and Occelli, Florent},\n\tmonth = aug,\n\tyear = {2020},\n\tpages = {114599},\n}\n\n
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\n \n\n \n \n \n \n \n \n Exposure to multiple air pollutants and the incidence of coronary heart disease: A fine-scale geographic analysis.\n \n \n \n \n\n\n \n Occelli, F.; Lanier, C.; Cuny, D.; Deram, A.; Dumont, J.; Amouyel, P.; Montaye, M.; Dauchet, L.; Dallongeville, J.; and Genin, M.\n\n\n \n\n\n\n Science of The Total Environment, 714: 136608. April 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ExposurePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{occelli_exposure_2020,\n\ttitle = {Exposure to multiple air pollutants and the incidence of coronary heart disease: {A} fine-scale geographic analysis},\n\tvolume = {714},\n\tissn = {0048-9697},\n\tshorttitle = {Exposure to multiple air pollutants and the incidence of coronary heart disease},\n\turl = {http://www.sciencedirect.com/science/article/pii/S0048969720301182},\n\tdoi = {10.1016/j.scitotenv.2020.136608},\n\tabstract = {Geographical variations in cardiovascular disease rates have been linked to individual air pollutants. Investigating the relation between cardiovascular disease and exposure to a complex mixture of air pollutants requires holistic approaches. We assessed the relationship between exposure to multiple air pollutants and the incidence of coronary heart disease (CHD) in a general population sample. We collected data in the Lille MONICA registry (2008–2011) on 3268 incident cases (age range: 35–74). Based on 20 indicators, we derived a composite environmental score (SEnv) for cumulative exposure to air pollution. Poisson regression models were used to analyse associations between CHD rates on one hand and SEnv and each single indicator on the other (considered in tertiles, where T3 is the most contaminated). We adjusted models for age, sex, area-level social deprivation, and neighbourhood spatial structure. The incidence of CHD was a spatially heterogeneous (p=0.006). There was a significant positive association between SEnv and CHD incidence (trend p=0.0151). The relative risks [95\\%CI] of CHD were 1.08 [0.98–1.18] and 1.16 [1.04–1.29] for the 2nd and 3rd tertile of SEnv exposure. In the single pollutant analysis, PM10, NO2, cadmium, copper, nickel, and palladium were significantly associated with CHD rates. Multiple air pollution was associated with an increased risk of CHD. Single pollutants reflecting road traffic pollution were the most strongly associated with CHD. Our present results are consistent with the literature data on the impact of road traffic on the CHD risk in urban areas.},\n\tlanguage = {en},\n\turldate = {2020-02-05},\n\tjournal = {Science of The Total Environment},\n\tauthor = {Occelli, Florent and Lanier, Caroline and Cuny, Damien and Deram, Annabelle and Dumont, Julie and Amouyel, Philippe and Montaye, Michèle and Dauchet, Luc and Dallongeville, Jean and Genin, Michaël},\n\tmonth = apr,\n\tyear = {2020},\n\tkeywords = {Cardiovascular disease, Composite index, Heavy metal, Multiple exposure, Traffic pollution},\n\tpages = {136608},\n}\n\n
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\n Geographical variations in cardiovascular disease rates have been linked to individual air pollutants. Investigating the relation between cardiovascular disease and exposure to a complex mixture of air pollutants requires holistic approaches. We assessed the relationship between exposure to multiple air pollutants and the incidence of coronary heart disease (CHD) in a general population sample. We collected data in the Lille MONICA registry (2008–2011) on 3268 incident cases (age range: 35–74). Based on 20 indicators, we derived a composite environmental score (SEnv) for cumulative exposure to air pollution. Poisson regression models were used to analyse associations between CHD rates on one hand and SEnv and each single indicator on the other (considered in tertiles, where T3 is the most contaminated). We adjusted models for age, sex, area-level social deprivation, and neighbourhood spatial structure. The incidence of CHD was a spatially heterogeneous (p=0.006). There was a significant positive association between SEnv and CHD incidence (trend p=0.0151). The relative risks [95%CI] of CHD were 1.08 [0.98–1.18] and 1.16 [1.04–1.29] for the 2nd and 3rd tertile of SEnv exposure. In the single pollutant analysis, PM10, NO2, cadmium, copper, nickel, and palladium were significantly associated with CHD rates. Multiple air pollution was associated with an increased risk of CHD. Single pollutants reflecting road traffic pollution were the most strongly associated with CHD. Our present results are consistent with the literature data on the impact of road traffic on the CHD risk in urban areas.\n
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\n \n\n \n \n \n \n \n \n Spatialized composite indices to evaluate environmental health inequalities: Meeting the challenge of selecting relevant variables.\n \n \n \n \n\n\n \n Brousmiche, D.; Occelli, F.; Genin, M.; Cuny, D.; Deram, A.; and Lanier, C.\n\n\n \n\n\n\n Ecological Indicators, 111: 106023. April 2020.\n \n\n\n\n
\n\n\n\n \n \n \"SpatializedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{brousmiche_spatialized_2020,\n\ttitle = {Spatialized composite indices to evaluate environmental health inequalities: {Meeting} the challenge of selecting relevant variables},\n\tvolume = {111},\n\tissn = {1470-160X},\n\tshorttitle = {Spatialized composite indices to evaluate environmental health inequalities},\n\turl = {http://www.sciencedirect.com/science/article/pii/S1470160X19310192},\n\tdoi = {10.1016/j.ecolind.2019.106023},\n\tabstract = {The wide range of factors involved in environmental health and the complexity of interactions between all environmental determinants require the validation of multidimensional approaches. While the development of composite indices is receiving growing attention by scientists and public authorities, the concept continues to lack transposability and robustness partly due to varying conceptualizations and/or methodologies. This review aims to promote harmonizing practices governing the first step of development of composite index, namely identification and characterization of the dimensions and variables that are included in environmental health indices. A review of available literature (more than 1500 studies) was conducted to identify the composite indices developed to assess territorial determinants from an environmental health perspective. This process made it possible to identify 23 spatialized composite indices and to assess a total of 329 variables. This diversity highlights that the absence of a common framework can lead to a strong subjectivity and limit comparisons between different environmental health indices. The specificity and the availability of certain variables would limit the transposability of indices. In light of current knowledge, this review proposes a consolidated methodological framework based on a categorization of variables into dimensions and sub-dimensions related to heath, environment, social, economics, services and policy. To characterize the sub-dimensions, several variables are possible and can be chosen according to the availability and/or accessibility of the data. The adaptation of a composite index to a specific territory or to a specific issue would then be effective through the included variables. This also aims to be transposable to any spatial unit (country, region, census tract). This work is a first step towards a proposal of guidelines designed to provide a consensual framework that could facilitate the exploitation of environmental health indices. This transparency could also increase the understanding and adoption of these tools by public authorities and general public.},\n\tlanguage = {en},\n\turldate = {2020-01-16},\n\tjournal = {Ecological Indicators},\n\tauthor = {Brousmiche, Delphine and Occelli, Florent and Genin, Michaël and Cuny, Damien and Deram, Annabelle and Lanier, Caroline},\n\tmonth = apr,\n\tyear = {2020},\n\tkeywords = {Combined environmental pressure, Health determinants, Indicators, Interterritorial comparisons, Overlapping inequalities},\n\tpages = {106023},\n}\n\n
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\n The wide range of factors involved in environmental health and the complexity of interactions between all environmental determinants require the validation of multidimensional approaches. While the development of composite indices is receiving growing attention by scientists and public authorities, the concept continues to lack transposability and robustness partly due to varying conceptualizations and/or methodologies. This review aims to promote harmonizing practices governing the first step of development of composite index, namely identification and characterization of the dimensions and variables that are included in environmental health indices. A review of available literature (more than 1500 studies) was conducted to identify the composite indices developed to assess territorial determinants from an environmental health perspective. This process made it possible to identify 23 spatialized composite indices and to assess a total of 329 variables. This diversity highlights that the absence of a common framework can lead to a strong subjectivity and limit comparisons between different environmental health indices. The specificity and the availability of certain variables would limit the transposability of indices. In light of current knowledge, this review proposes a consolidated methodological framework based on a categorization of variables into dimensions and sub-dimensions related to heath, environment, social, economics, services and policy. To characterize the sub-dimensions, several variables are possible and can be chosen according to the availability and/or accessibility of the data. The adaptation of a composite index to a specific territory or to a specific issue would then be effective through the included variables. This also aims to be transposable to any spatial unit (country, region, census tract). This work is a first step towards a proposal of guidelines designed to provide a consensual framework that could facilitate the exploitation of environmental health indices. This transparency could also increase the understanding and adoption of these tools by public authorities and general public.\n
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\n \n\n \n \n \n \n \n \n Combined toxic effects and DNA damage to two plant species exposed to binary metal mixtures (Cd/Pb).\n \n \n \n \n\n\n \n Lanier, C.; Bernard, F.; Dumez, S.; Leclercq-Dransart, J.; Lemière, S.; Vandenbulcke, F.; Nesslany, F.; Platel, A.; Devred, I.; Hayet, A.; Cuny, D.; and Deram, A.\n\n\n \n\n\n\n Ecotoxicology and Environmental Safety, 167: 278–287. January 2019.\n \n\n\n\n
\n\n\n\n \n \n \"CombinedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{lanier_combined_2019,\n\ttitle = {Combined toxic effects and {DNA} damage to two plant species exposed to binary metal mixtures ({Cd}/{Pb})},\n\tvolume = {167},\n\tissn = {0147-6513},\n\turl = {http://www.sciencedirect.com/science/article/pii/S0147651318310091},\n\tdoi = {10.1016/j.ecoenv.2018.10.010},\n\tabstract = {Acute and long-term (3-, 10- and 56-day exposure) laboratory toxicity tests were carried out to assess the individual and combined toxic effects of cadmium (Cd) and lead (Pb) in Brassica oleracea and Trifolium repens. In addition to morphological parameters, this work also used comet assay to address endpoints in relation to genotoxicity. Bioaccumulation was measured to demonstrate the influence of the mixture on the concentrations of each metal in the plant. The statistical method reported by Ince et al. (1999) was used to evaluate the types of interaction between Cd and Pb in each treatment and concerning their combined effect. This study concludes that the combined effects of binary metal combinations of Cd/Pb on morphological parameters are most often additive, sometimes antagonistic and more rarely synergistic, thus extending the findings of previous publications on this subject. DNA damage analysis revealed concentration- and time-dependent interactions. Synergistic effects of mixed metals (more breaks than individually applied metals) are observed in T. repens after a short exposure. Antagonistic effects are statistically significant after 10 days-exposure, suggesting competition between metals. At 56 days, the rate of DNA damage observed in plants exposed to the Cd/Pb mixture was similar to that measured in plants exposed to lead only and was significantly lower than the rate of DNA damage induced by Cd. This supports the idea that there may be competition between metals and also strengthens the hypothesis that long-term reparation mechanisms may be implemented. Cd/Pb co-exposure does not significantly influence the bioaccumulation of each metal. It is nevertheless important to note that a statistically significant ‘interaction’ is not necessarily biologically relevant and should therefore be considered with caution when assessing heavy metals combined effects.},\n\turldate = {2018-12-20},\n\tjournal = {Ecotoxicology and Environmental Safety},\n\tauthor = {Lanier, Caroline and Bernard, F. and Dumez, S. and Leclercq-Dransart, J. and Lemière, S. and Vandenbulcke, F. and Nesslany, F. and Platel, A. and Devred, I. and Hayet, A. and Cuny, D. and Deram, A.},\n\tmonth = jan,\n\tyear = {2019},\n\tkeywords = {Antagonism, Genotoxicity, Interactions, Joint effects, Metal mixture},\n\tpages = {278--287},\n}\n\n
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\n Acute and long-term (3-, 10- and 56-day exposure) laboratory toxicity tests were carried out to assess the individual and combined toxic effects of cadmium (Cd) and lead (Pb) in Brassica oleracea and Trifolium repens. In addition to morphological parameters, this work also used comet assay to address endpoints in relation to genotoxicity. Bioaccumulation was measured to demonstrate the influence of the mixture on the concentrations of each metal in the plant. The statistical method reported by Ince et al. (1999) was used to evaluate the types of interaction between Cd and Pb in each treatment and concerning their combined effect. This study concludes that the combined effects of binary metal combinations of Cd/Pb on morphological parameters are most often additive, sometimes antagonistic and more rarely synergistic, thus extending the findings of previous publications on this subject. DNA damage analysis revealed concentration- and time-dependent interactions. Synergistic effects of mixed metals (more breaks than individually applied metals) are observed in T. repens after a short exposure. Antagonistic effects are statistically significant after 10 days-exposure, suggesting competition between metals. At 56 days, the rate of DNA damage observed in plants exposed to the Cd/Pb mixture was similar to that measured in plants exposed to lead only and was significantly lower than the rate of DNA damage induced by Cd. This supports the idea that there may be competition between metals and also strengthens the hypothesis that long-term reparation mechanisms may be implemented. Cd/Pb co-exposure does not significantly influence the bioaccumulation of each metal. It is nevertheless important to note that a statistically significant ‘interaction’ is not necessarily biologically relevant and should therefore be considered with caution when assessing heavy metals combined effects.\n
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\n \n\n \n \n \n \n \n \n Spatial heterogeneity of KRAS mutations in colorectal cancers in northern France.\n \n \n \n \n\n\n \n Turpin, A.; Genin, M.; Hebbar, M.; Occelli, F.; Lanier, C.; Vasseur, F.; Descarpentries, C.; Pannier, D.; and Ploquin, A.\n\n\n \n\n\n\n Cancer Management and Research, Volume 11: 8337–8344. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"SpatialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{turpin_spatial_2019,\n\ttitle = {Spatial heterogeneity of {KRAS} mutations in colorectal cancers in northern {France}},\n\tvolume = {Volume 11},\n\tissn = {1179-1322},\n\turl = {https://www.dovepress.com/spatial-heterogeneity-of-kras-mutations-in-colorectal-cancers-in-north-peer-reviewed-article-CMAR},\n\tdoi = {10.2147/CMAR.S211119},\n\tlanguage = {en},\n\turldate = {2019-11-30},\n\tjournal = {Cancer Management and Research},\n\tauthor = {Turpin, Anthony and Genin, Michael and Hebbar, Mohamed and Occelli, Florent and Lanier, Caroline and Vasseur, Francis and Descarpentries, Clotilde and Pannier, Diane and Ploquin, Anne},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {8337--8344},\n}\n\n
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\n \n\n \n \n \n \n \n \n Spatial heterogeneity of KRAS mutations in colorectal cancers: A population-based study in northern France.\n \n \n \n \n\n\n \n Ploquin, A.; Genin, M.; Hebbar, M.; Occelli, F.; Lanier, C.; Decarpentries, C.; Pannier, D.; and Turpin, A.\n\n\n \n\n\n\n In Journal of Clinical Oncology, volume 37, pages e15101–e15101, May 2019. \n \n\n\n\n
\n\n\n\n \n \n \"SpatialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ploquin_spatial_2019,\n\ttitle = {Spatial heterogeneity of {KRAS} mutations in colorectal cancers: {A} population-based study in northern {France}.},\n\tvolume = {37},\n\tshorttitle = {Spatial heterogeneity of {KRAS} mutations in colorectal cancers},\n\turl = {http://ascopubs.org/doi/abs/10.1200/JCO.2019.37.15_suppl.e15101},\n\tdoi = {10.1200/JCO.2019.37.15_suppl.e15101},\n\tabstract = {e15101Background: Somatic mutations in the KRAS gene are present in about 40\\% of tumors from colorectal cancer (CRC) patients and are associated with a resistance to anti-EGFR therapies. However, no clinical features have been linked to KRAS mutations in CRC. In this study, we attempted to identify the potential geographical population clusters of KRAS mutations in CRC patients in northern France. Methods: All patients with CRC who were identified to have KRAS mutations performed by pyrosequencing between 2008 and 2014 at the Regional Molecular Biology Platform at Lille University Hospital were included. We retrospectively collected demographic and geographic data from these patients. The proportions of KRAS mutation were smoothed to take into account the variability related to low frequencies and spatial autocorrelation. Geographical clusters were searched using spatial scan statistical models. Then, we made an ecological study. Results: 2,486 patients underwent a KRAS status available. A mutation of KRAS codon 12 or 13 performed by pyrosequencing was found in 1,018 patients (40.9\\%). We report 5 clusters of over-incidence but only one elongated cluster that was statistically significant ranging from the city of Tourcoing to the city of Marquion (Cluster 1; smoothed proportion of KRAS mutation: 0.4570; RR = 1.29; p = 0.0314). The ecological study did not highlight a significant association between KRAS mutations and the distance to the Closest Waste Incineration Plant , and between KRAS mutations and The French Ecological Deprivation Index. There was a greater frequency of KRAS mutations in some areas close to major highways and big cities in northern France. Conclusions: There is a spatial heterogeneity of KRAS codon 12 or 13 mutations in CRC in northern France. These data demand deeper epidemiological investigations to identify environmental factors such as air pollution as key factors in the occurrence of KRAS mutations.},\n\turldate = {2019-06-28},\n\tbooktitle = {Journal of {Clinical} {Oncology}},\n\tauthor = {Ploquin, Anne and Genin, Michael and Hebbar, Mohamed and Occelli, Florent and Lanier, Caroline and Decarpentries, Clotilde and Pannier, Diane and Turpin, Anthony},\n\tmonth = may,\n\tyear = {2019},\n\tpages = {e15101--e15101},\n}\n\n
\n
\n\n\n
\n e15101Background: Somatic mutations in the KRAS gene are present in about 40% of tumors from colorectal cancer (CRC) patients and are associated with a resistance to anti-EGFR therapies. However, no clinical features have been linked to KRAS mutations in CRC. In this study, we attempted to identify the potential geographical population clusters of KRAS mutations in CRC patients in northern France. Methods: All patients with CRC who were identified to have KRAS mutations performed by pyrosequencing between 2008 and 2014 at the Regional Molecular Biology Platform at Lille University Hospital were included. We retrospectively collected demographic and geographic data from these patients. The proportions of KRAS mutation were smoothed to take into account the variability related to low frequencies and spatial autocorrelation. Geographical clusters were searched using spatial scan statistical models. Then, we made an ecological study. Results: 2,486 patients underwent a KRAS status available. A mutation of KRAS codon 12 or 13 performed by pyrosequencing was found in 1,018 patients (40.9%). We report 5 clusters of over-incidence but only one elongated cluster that was statistically significant ranging from the city of Tourcoing to the city of Marquion (Cluster 1; smoothed proportion of KRAS mutation: 0.4570; RR = 1.29; p = 0.0314). The ecological study did not highlight a significant association between KRAS mutations and the distance to the Closest Waste Incineration Plant , and between KRAS mutations and The French Ecological Deprivation Index. There was a greater frequency of KRAS mutations in some areas close to major highways and big cities in northern France. Conclusions: There is a spatial heterogeneity of KRAS codon 12 or 13 mutations in CRC in northern France. These data demand deeper epidemiological investigations to identify environmental factors such as air pollution as key factors in the occurrence of KRAS mutations.\n
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\n \n\n \n \n \n \n \n \n Spatial analysis of environmental inequalities caused by multiple air pollutants: A cumulative impact screening method, applied to the north of France.\n \n \n \n \n\n\n \n Lanier, C.; Deram, A.; Cuny, M.; Cuny, D.; and Occelli, F.\n\n\n \n\n\n\n Ecological Indicators, 99: 91–100. April 2019.\n \n\n\n\n
\n\n\n\n \n \n \"SpatialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{lanier_spatial_2019,\n\ttitle = {Spatial analysis of environmental inequalities caused by multiple air pollutants: {A} cumulative impact screening method, applied to the north of {France}},\n\tvolume = {99},\n\tissn = {1470-160X},\n\tshorttitle = {Spatial analysis of environmental inequalities caused by multiple air pollutants},\n\turl = {http://www.sciencedirect.com/science/article/pii/S1470160X18309440},\n\tdoi = {10.1016/j.ecolind.2018.12.011},\n\tabstract = {Differential and not fair exposure to environmental risk factors across socio-demographic groups, called environmental justice (EJ), may contribute to inequalities in health and most often put disadvantaged groups at higher risk for environmental health effects. Main literature has difficulties to consider the potential exposure of populations to different levels of air pollutants. Cumulative and long-term exposures are still seldom considered. We propose a comprehensive EJ methodology to prioritize and characterize neighborhoods which takes into account the cumulative impact of health determinants. For this purpose, the use of environmental biomonitoring is an innovative approach to consider the integrated and long-term exposure to complex air pollution. Cumulative Impact Screening (CIS) methodology was used for two contrasted living areas of France. CIS is based on synthetic and composite index construction. Three scores were attributed to each neighborhood according to a cumulative calculation of key parameters: environmental score (using 3 air biomonitoring parameters: trace elements loads in lichens, lichenic biodiversity and dust deposition on poplar leaves), socioeconomic deprivation score and susceptible population score. Each score can be considered as a dimension of health vulnerability. CIS analysis and maps highlighted the unequal spatial distribution of EJ. After the multi-criteria hierarchization of spatial units, the influence of each dimension was characterized in each neighborhood with radar charts. The study was carried out in two living areas in the north of France: a costal industrial zone, the Dunkerque Urban Community and a densely populated area located at the crossroads of Europe, the European Lille Metropolis. Three neighborhoods of the highest vulnerability level were identified in each area. We highlighted a same level of vulnerability can be related to different profiles of determinants. This multidimensional approach was able to discriminate neighborhoods with a gradient level of vulnerability in each area, despite different environmental, demographic and economic contexts. This cross-use constitutes a preliminary validation in order to assess the replicability of the methodology. This step showed that this approach could be replicated in countries or regions which would have different characteristics: it is both specific to a given context and well suited for different contexts. We demonstrated that environmental biomonitoring is a smart approach to fill the lack of available data on multiple air pollution at the local scale. The tool developed is specific to the territory and transposable and communicant, which facilitate adoption by a variety of community agency and other regulatory stakeholders, and prioritization of public health actions.},\n\turldate = {2018-12-20},\n\tjournal = {Ecological Indicators},\n\tauthor = {Lanier, Caroline and Deram, Annabelle and Cuny, Marie-Amélie and Cuny, Damien and Occelli, Florent},\n\tmonth = apr,\n\tyear = {2019},\n\tkeywords = {Environmental justice, Environmental management, Health determinants, Plant biomonitoring, Synthetic index, Territory vulnerability},\n\tpages = {91--100},\n}\n\n
\n
\n\n\n
\n Differential and not fair exposure to environmental risk factors across socio-demographic groups, called environmental justice (EJ), may contribute to inequalities in health and most often put disadvantaged groups at higher risk for environmental health effects. Main literature has difficulties to consider the potential exposure of populations to different levels of air pollutants. Cumulative and long-term exposures are still seldom considered. We propose a comprehensive EJ methodology to prioritize and characterize neighborhoods which takes into account the cumulative impact of health determinants. For this purpose, the use of environmental biomonitoring is an innovative approach to consider the integrated and long-term exposure to complex air pollution. Cumulative Impact Screening (CIS) methodology was used for two contrasted living areas of France. CIS is based on synthetic and composite index construction. Three scores were attributed to each neighborhood according to a cumulative calculation of key parameters: environmental score (using 3 air biomonitoring parameters: trace elements loads in lichens, lichenic biodiversity and dust deposition on poplar leaves), socioeconomic deprivation score and susceptible population score. Each score can be considered as a dimension of health vulnerability. CIS analysis and maps highlighted the unequal spatial distribution of EJ. After the multi-criteria hierarchization of spatial units, the influence of each dimension was characterized in each neighborhood with radar charts. The study was carried out in two living areas in the north of France: a costal industrial zone, the Dunkerque Urban Community and a densely populated area located at the crossroads of Europe, the European Lille Metropolis. Three neighborhoods of the highest vulnerability level were identified in each area. We highlighted a same level of vulnerability can be related to different profiles of determinants. This multidimensional approach was able to discriminate neighborhoods with a gradient level of vulnerability in each area, despite different environmental, demographic and economic contexts. This cross-use constitutes a preliminary validation in order to assess the replicability of the methodology. This step showed that this approach could be replicated in countries or regions which would have different characteristics: it is both specific to a given context and well suited for different contexts. We demonstrated that environmental biomonitoring is a smart approach to fill the lack of available data on multiple air pollution at the local scale. The tool developed is specific to the territory and transposable and communicant, which facilitate adoption by a variety of community agency and other regulatory stakeholders, and prioritization of public health actions.\n
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\n  \n 2018\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Disparités infrarégionales d’incidence de l’insuffisance rénale chronique terminale (IRCT)–influence de la défaveur socio–économique et de l’environnement.\n \n \n \n \n\n\n \n Occelli, F.; Genin, M.; Lanier, C.; and Glowacki, F.\n\n\n \n\n\n\n Néphrologie & Thérapeutique, 14(5): 259–260. September 2018.\n \n\n\n\n
\n\n\n\n \n \n \"DisparitésPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{occelli_disparites_2018,\n\tseries = {Troisième congrès de {Société} francophone de néphrologie, dialyse et transplantation ({SFNDT})},\n\ttitle = {Disparités infrarégionales d’incidence de l’insuffisance rénale chronique terminale ({IRCT})–influence de la défaveur socio–économique et de l’environnement},\n\tvolume = {14},\n\tissn = {1769-7255},\n\turl = {http://www.sciencedirect.com/science/article/pii/S1769725518301871},\n\tdoi = {10.1016/j.nephro.2018.07.028},\n\tabstract = {Introduction\nDe fortes disparités d’incidence de l’IRCT ont récemment été observées entre les départements de France métropolitaine avec une influence notable du diabète et de la précarité sociale des populations. La littérature récente suggère également une part attribuable à l’environnement. Une analyse spatiale à fine échelle de l’incidence d’IRCT a été effectuée au sein d’une des régions les plus touchées, afin de rechercher des facteurs de risque.\nPatients/Matériels et méthodes\nUne étude écologique géographique a été menée à partir de l’ensemble des cas incidents d’IRCT recensés dans cette région à partir du registre REIN entre 2005 et 2014. Des méthodes de cartographie de ratios d’incidence standardisés (SIR lissés) et de détection de clusters atypiques d’évènements (statistique de scan), ajustées sur l’âge, le sexe et la prévalence de diabète ont été menées pour mettre en évidence des disparités d’incidence à l’échelle cantonale. Les clusters de sur-incidence (C+) et de sous-incidence (C−) détectés ont été décrits et comparés à l’aide (i) des données cliniques des patients (caractéristiques néphropatiques et comorbidités) afin d’évaluer l’influence de pratiques médicales ; (ii) de données écologiques (démographie médicale, précarité des populations, occupation du sol et pollution atmosphérique) afin d’évaluer l’influence de l’offre de soins et de facteurs de risques dans la genèse de ces disparités spatiales.\nObservation/Résultats\nLa cartographie des SIR lissés montre de fortes disparités infrarégionales d’incidence d’IRCT, avec la présence de deux clusters de sur-incidence (Risque relatif de 1,24 pour C+1 et 1,18 pour C+2), et trois clusters de sous-incidence (Risque relatif de 0,74 pour C−1 ; 0,78 pour C−2 ; 0,83 pour C−3). Les clusters de sous-incidence sont plutôt retrouvés au niveau des zones rurales, suggérant l’influence de déserts médicaux. Il n’existe pas de différences de pratiques de prise en charge entre les clusters. Les clusters de sur-incidence hébergent des populations plus défavorisées que les clusters de sous-incidence. Cela confirme la forte influence de la précarité socio–économique dans la maladie rénale chronique. Il existe également des différences de niveau de pollution entre les clusters, avec des niveaux très élevés sur C+2, très faibles sur C−1 et moyens sur C−2, C−3 et C+1.\nDiscussion/Conclusion\nL’ajustement sur la prévalence de diabète permet de mettre en avant d’autres facteurs de risque et devrait être mis en oeuvre en routine dans ce type d’analyse. Le poids de la précarité par rapport à celui de l’environnement ne semble pas identique quel que soit le cluster détecté. Une analyse multivariée est désormais nécessaire.},\n\tnumber = {5},\n\turldate = {2019-03-28},\n\tjournal = {Néphrologie \\& Thérapeutique},\n\tauthor = {Occelli, F. and Genin, M. and Lanier, C. and Glowacki, F.},\n\tmonth = sep,\n\tyear = {2018},\n\tpages = {259--260},\n}\n\n
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\n Introduction De fortes disparités d’incidence de l’IRCT ont récemment été observées entre les départements de France métropolitaine avec une influence notable du diabète et de la précarité sociale des populations. La littérature récente suggère également une part attribuable à l’environnement. Une analyse spatiale à fine échelle de l’incidence d’IRCT a été effectuée au sein d’une des régions les plus touchées, afin de rechercher des facteurs de risque. Patients/Matériels et méthodes Une étude écologique géographique a été menée à partir de l’ensemble des cas incidents d’IRCT recensés dans cette région à partir du registre REIN entre 2005 et 2014. Des méthodes de cartographie de ratios d’incidence standardisés (SIR lissés) et de détection de clusters atypiques d’évènements (statistique de scan), ajustées sur l’âge, le sexe et la prévalence de diabète ont été menées pour mettre en évidence des disparités d’incidence à l’échelle cantonale. Les clusters de sur-incidence (C+) et de sous-incidence (C−) détectés ont été décrits et comparés à l’aide (i) des données cliniques des patients (caractéristiques néphropatiques et comorbidités) afin d’évaluer l’influence de pratiques médicales ; (ii) de données écologiques (démographie médicale, précarité des populations, occupation du sol et pollution atmosphérique) afin d’évaluer l’influence de l’offre de soins et de facteurs de risques dans la genèse de ces disparités spatiales. Observation/Résultats La cartographie des SIR lissés montre de fortes disparités infrarégionales d’incidence d’IRCT, avec la présence de deux clusters de sur-incidence (Risque relatif de 1,24 pour C+1 et 1,18 pour C+2), et trois clusters de sous-incidence (Risque relatif de 0,74 pour C−1 ; 0,78 pour C−2 ; 0,83 pour C−3). Les clusters de sous-incidence sont plutôt retrouvés au niveau des zones rurales, suggérant l’influence de déserts médicaux. Il n’existe pas de différences de pratiques de prise en charge entre les clusters. Les clusters de sur-incidence hébergent des populations plus défavorisées que les clusters de sous-incidence. Cela confirme la forte influence de la précarité socio–économique dans la maladie rénale chronique. Il existe également des différences de niveau de pollution entre les clusters, avec des niveaux très élevés sur C+2, très faibles sur C−1 et moyens sur C−2, C−3 et C+1. Discussion/Conclusion L’ajustement sur la prévalence de diabète permet de mettre en avant d’autres facteurs de risque et devrait être mis en oeuvre en routine dans ce type d’analyse. Le poids de la précarité par rapport à celui de l’environnement ne semble pas identique quel que soit le cluster détecté. Une analyse multivariée est désormais nécessaire.\n
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\n \n\n \n \n \n \n \n \n Geographic Information Systems and Environmental-Health Links (SIGLES): a research program to explore territorial inequalities in environmental health.\n \n \n \n \n\n\n \n Lanier, C.; Occelli, F.; Deram, A.; and Cuny, D.\n\n\n \n\n\n\n Pollution Atmosphérique, 236. March 2018.\n \n\n\n\n
\n\n\n\n \n \n \"GeographicPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{lanier_geographic_2018,\n\ttitle = {Geographic {Information} {Systems} and {Environmental}-{Health} {Links} ({SIGLES}): a research program to explore territorial inequalities in environmental health},\n\tvolume = {236},\n\turl = {http://lodel.irevues.inist.fr/pollution-atmospherique/index.php?id=6471},\n\tjournal = {Pollution Atmosphérique},\n\tauthor = {Lanier, Caroline and Occelli, Florent and Deram, Annabelle and Cuny, Damien},\n\tmonth = mar,\n\tyear = {2018},\n}\n\n
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\n  \n 2016\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Combined effect of Cd and Pb spiked field soils on bioaccumulation, DNA damage, and peroxidase activities in Trifolium repens.\n \n \n \n\n\n \n Lanier, C.; Bernard, F.; Dumez, S.; Leclercq, J.; Lemière, S.; Vandenbulcke, F.; Nesslany, F.; Platel, A.; Devred, I.; Cuny, D.; and Deram, A.\n\n\n \n\n\n\n Environmental Science and Pollution Research International, 23(2): 1755–1767. January 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{lanier_combined_2016,\n\ttitle = {Combined effect of {Cd} and {Pb} spiked field soils on bioaccumulation, {DNA} damage, and peroxidase activities in {Trifolium} repens},\n\tvolume = {23},\n\tissn = {1614-7499},\n\tdoi = {10.1007/s11356-015-5414-6},\n\tabstract = {The present study was designed to investigate the combined effects of Cd and Pb on accumulation and genotoxic potential in white clover (Trifolium repens). For this purpose, T. repens was exposed to contaminated soils (2.5-20 mg kg(-1) cadmium (Cd), 250-2000 mg kg(-1) lead (Pb) and a mixture of these two heavy metals) for 3, 10 and 56 days. The resulting bioaccumulation of Cd and Pb, DNA damage (comet assay) and peroxidase activities (APOX and GPOX) were determined. The exposure time is a determinant factor in experiments designed to measure the influence of heavy metal contamination. The accumulation of Cd or Pb resulting from exposure to the two-metal mixture does not appear to depend significantly on whether the white clover is exposed to soil containing one heavy metal or both. However, when T. repens is exposed to a Cd/Pb mixture, the percentage of DNA damage is lower than when the plant is exposed to monometallic Cd. DNA damage is close to that observed in the case of monometallic Pb exposure. Peroxidase activity cannot be associated with DNA damage under these experimental conditions.},\n\tlanguage = {eng},\n\tnumber = {2},\n\tjournal = {Environmental Science and Pollution Research International},\n\tauthor = {Lanier, C. and Bernard, F. and Dumez, S. and Leclercq, J. and Lemière, S. and Vandenbulcke, F. and Nesslany, F. and Platel, A. and Devred, I. and Cuny, D. and Deram, A.},\n\tmonth = jan,\n\tyear = {2016},\n\tpmid = {26396009},\n\tkeywords = {Cadmium, Comet Assay, Comet assay, DNA Damage, Environmental Pollution, Heavy metals, Higher plants, Lead, Metal interactions, Oxidative stress, Peroxidases, Plant Proteins, Soil Pollutants, Trifolium, White clover},\n\tpages = {1755--1767},\n}\n
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\n The present study was designed to investigate the combined effects of Cd and Pb on accumulation and genotoxic potential in white clover (Trifolium repens). For this purpose, T. repens was exposed to contaminated soils (2.5-20 mg kg(-1) cadmium (Cd), 250-2000 mg kg(-1) lead (Pb) and a mixture of these two heavy metals) for 3, 10 and 56 days. The resulting bioaccumulation of Cd and Pb, DNA damage (comet assay) and peroxidase activities (APOX and GPOX) were determined. The exposure time is a determinant factor in experiments designed to measure the influence of heavy metal contamination. The accumulation of Cd or Pb resulting from exposure to the two-metal mixture does not appear to depend significantly on whether the white clover is exposed to soil containing one heavy metal or both. However, when T. repens is exposed to a Cd/Pb mixture, the percentage of DNA damage is lower than when the plant is exposed to monometallic Cd. DNA damage is close to that observed in the case of monometallic Pb exposure. Peroxidase activity cannot be associated with DNA damage under these experimental conditions.\n
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\n  \n 2015\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n The comet assay in higher terrestrial plant model: Review and evolutionary trends.\n \n \n \n \n\n\n \n Lanier, C.; Manier, N.; Cuny, D.; and Deram, A.\n\n\n \n\n\n\n Environmental Pollution, 207: 6–20. December 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{lanier_comet_2015,\n\ttitle = {The comet assay in higher terrestrial plant model: {Review} and evolutionary trends},\n\tvolume = {207},\n\tissn = {02697491},\n\tshorttitle = {The comet assay in higher terrestrial plant model},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0269749115300154},\n\tdoi = {10.1016/j.envpol.2015.08.020},\n\tlanguage = {en},\n\turldate = {2020-12-20},\n\tjournal = {Environmental Pollution},\n\tauthor = {Lanier, Caroline and Manier, Nicolas and Cuny, Damien and Deram, Annabelle},\n\tmonth = dec,\n\tyear = {2015},\n\tpages = {6--20},\n}\n\n
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\n  \n 2012\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n How to improve the hygienic quality of forages for horse feeding.\n \n \n \n\n\n \n Séguin, V.; Garon, D.; Lemauviel-Lavenant, S.; Lanier, C.; Bouchart, V.; Gallard, Y.; Blanchet, B.; Diquélou, S.; Personeni, E.; and Ourry, A.\n\n\n \n\n\n\n Journal of the Science of Food and Agriculture, 92(4): 975–986. March 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{seguin_how_2012,\n\ttitle = {How to improve the hygienic quality of forages for horse feeding},\n\tvolume = {92},\n\tissn = {1097-0010},\n\tdoi = {10.1002/jsfa.4680},\n\tabstract = {BACKGROUND: Improving the hygienic quality of forages for horse nutrition seems to be a reasonable target for decreasing the prevalence of pulmonary diseases. The aim of the experiment was to study the effects of different agricultural practices on the main aero-allergens contained in forages, including breathable dust, fungi, mycotoxins and pollens.\nRESULTS: Results showed that the late harvest of hay, a second crop or a haylage production provides a good alternative to increase hygienic quality by reducing fungi contamination and breathable dust content. Barn drying of hay, while having no effect on breathable dust, similarly reduced fungi contamination. In contrast, when hay was harvested at a lower dry mass content (750 g DM kg⁻¹ versus 850 g DM kg⁻¹), both breathable dust and fungi contaminations were increased, which could at least be reversed by adding propionic acid just before baling. Zearalenone was detected in different hays, and even in one case, in breathable dust.\nCONCLUSION: Overall, our data suggest that different approaches can be used to increase forage hygienic quality for horse feeding and thus reduce their exposure to factors involved in equine pulmonary disease.},\n\tlanguage = {eng},\n\tnumber = {4},\n\tjournal = {Journal of the Science of Food and Agriculture},\n\tauthor = {Séguin, Virginie and Garon, David and Lemauviel-Lavenant, Servane and Lanier, Caroline and Bouchart, Valérie and Gallard, Yves and Blanchet, Benoît and Diquélou, Sylvain and Personeni, Emmanuelle and Ourry, Alain},\n\tmonth = mar,\n\tyear = {2012},\n\tpmid = {22002664},\n\tkeywords = {Agriculture, Animal Feed, Animals, Dust, Food Contamination, Foodborne Diseases, France, Fungi, Horse Diseases, Horses, Lactobacillaceae, Lung Diseases, Lung Diseases, Fungal, Microbial Viability, Mycotoxins, Pneumoconiosis, Pollen, Seasons, Weather},\n\tpages = {975--986},\n}\n\n
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\n BACKGROUND: Improving the hygienic quality of forages for horse nutrition seems to be a reasonable target for decreasing the prevalence of pulmonary diseases. The aim of the experiment was to study the effects of different agricultural practices on the main aero-allergens contained in forages, including breathable dust, fungi, mycotoxins and pollens. RESULTS: Results showed that the late harvest of hay, a second crop or a haylage production provides a good alternative to increase hygienic quality by reducing fungi contamination and breathable dust content. Barn drying of hay, while having no effect on breathable dust, similarly reduced fungi contamination. In contrast, when hay was harvested at a lower dry mass content (750 g DM kg⁻¹ versus 850 g DM kg⁻¹), both breathable dust and fungi contaminations were increased, which could at least be reversed by adding propionic acid just before baling. Zearalenone was detected in different hays, and even in one case, in breathable dust. CONCLUSION: Overall, our data suggest that different approaches can be used to increase forage hygienic quality for horse feeding and thus reduce their exposure to factors involved in equine pulmonary disease.\n
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\n \n\n \n \n \n \n \n Recurrence of Stachybotrys chartarum during mycological and toxicological study of bioaerosols collected in a dairy cattle shed.\n \n \n \n\n\n \n Lanier, C.; André, V.; Séguin, V.; Heutte, N.; El Kaddoumi, A.; Bouchart, V.; Picquet, R.; and Garon, D.\n\n\n \n\n\n\n Annals of agricultural and environmental medicine: AAEM, 19(1): 61–67. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{lanier_recurrence_2012,\n\ttitle = {Recurrence of {Stachybotrys} chartarum during mycological and toxicological study of bioaerosols collected in a dairy cattle shed},\n\tvolume = {19},\n\tissn = {1898-2263},\n\tabstract = {Agricultural occupations associated with animal breeding and the processing of animal materials in confinement systems could potentially lead to bioaerosol exposures. Moulds and mycotoxins could be constituents of bioaerosols and should be studied because of their possible involvement in respiratory diseases and cancers. In order to characterize the fungal contamination of the indoor air in a dairy barn, bioaerosols were collected during 20 days in a cattle farm located in Normandy (France). Mycobiota, mycotoxins and the mutagenicity of bioaerosols were studied. The toxigenic ability of Aspergillus flavus group and Aspergillus fumigatus isolates was also evaluated in vitro. The prevalent airborne moulds were from the following potentially toxigenic species: Aspergillus flavus group, Aspergillus fumigatus, Penicillium chrysogenum, Stachybotrys chartarum, and the allergenic species Ulocladium chartarum, Cladosporium cladosporioides. In comparison with harvesting, grain handling or broiler breeding, the concentrations of viable moulds were lower in the cattle shed. Seasonal variations in levels of several species were also observed. This study revealed that aflatoxins were detected in bioaerosols and, for the first time, showed that farmers are possibly exposed to Stachybotrys chartarum during routine barn work. Moreover, the finding of mutagenicity from bioaerosols needs further investigations on bioaerosol composition.},\n\tlanguage = {eng},\n\tnumber = {1},\n\tjournal = {Annals of agricultural and environmental medicine: AAEM},\n\tauthor = {Lanier, Caroline and André, Véronique and Séguin, Virginie and Heutte, Natacha and El Kaddoumi, Anne and Bouchart, Valérie and Picquet, Rachel and Garon, David},\n\tyear = {2012},\n\tpmid = {22462447},\n\tkeywords = {Aflatoxins, Air Microbiology, Air Pollution, Indoor, Allergens, Animals, Aspergillus, Cattle, Colony Count, Microbial, Dairying, France, Fungi, Mass Spectrometry, Mutagenicity Tests, Mycotoxins, Seasons, Stachybotrys, Statistics, Nonparametric},\n\tpages = {61--67},\n}\n\n
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\n Agricultural occupations associated with animal breeding and the processing of animal materials in confinement systems could potentially lead to bioaerosol exposures. Moulds and mycotoxins could be constituents of bioaerosols and should be studied because of their possible involvement in respiratory diseases and cancers. In order to characterize the fungal contamination of the indoor air in a dairy barn, bioaerosols were collected during 20 days in a cattle farm located in Normandy (France). Mycobiota, mycotoxins and the mutagenicity of bioaerosols were studied. The toxigenic ability of Aspergillus flavus group and Aspergillus fumigatus isolates was also evaluated in vitro. The prevalent airborne moulds were from the following potentially toxigenic species: Aspergillus flavus group, Aspergillus fumigatus, Penicillium chrysogenum, Stachybotrys chartarum, and the allergenic species Ulocladium chartarum, Cladosporium cladosporioides. In comparison with harvesting, grain handling or broiler breeding, the concentrations of viable moulds were lower in the cattle shed. Seasonal variations in levels of several species were also observed. This study revealed that aflatoxins were detected in bioaerosols and, for the first time, showed that farmers are possibly exposed to Stachybotrys chartarum during routine barn work. Moreover, the finding of mutagenicity from bioaerosols needs further investigations on bioaerosol composition.\n
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\n  \n 2010\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Airborne molds and mycotoxins associated with handling of corn silage and oilseed cakes in agricultural environment.\n \n \n \n \n\n\n \n Lanier, C.; Richard, E.; Heutte, N.; Picquet, R.; Bouchart, V.; and Garon, D.\n\n\n \n\n\n\n Atmospheric Environment, 44(16): 1980–1986. May 2010.\n \n\n\n\n
\n\n\n\n \n \n \"AirbornePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{lanier_airborne_2010,\n\ttitle = {Airborne molds and mycotoxins associated with handling of corn silage and oilseed cakes in agricultural environment},\n\tvolume = {44},\n\tissn = {1352-2310},\n\turl = {http://www.sciencedirect.com/science/article/pii/S1352231010001792},\n\tdoi = {10.1016/j.atmosenv.2010.02.040},\n\tabstract = {In agricultural areas, the contamination of feedstuffs with molds and mycotoxins presents major environmental and health concerns. During cattle feeding, fungi and mycotoxins were monitored in corn silage, oilseed cakes and bioaerosols collected in Normandy. Most of the corn silages were found to be contaminated by deoxynivalenol (mean concentration: 1883 μg kg−1) while a few of oilseed cakes were contaminated by alternariol, fumonisin B1 or gliotoxin. In ambient bioaerosols, the values for fungi per cubic meter of air varied from 4.3 × 102 to 6.2 × 105 cfu m−3. Seasonal variations were observed with some species like Aspergillus fumigatus which significantly decreased between the 2 seasons (P = 0.0186) while the Penicillium roqueforti group significantly increased during the second season (P = 0.0156). In the personal bioaerosols, the values for fungi per cubic meter of air varied from 3.3 103 to 1.7 106 cfu m−3 and the number of A. fumigatus spores significantly decreased between the 2 seasons (P = 0.0488). Gliotoxin, an immunosuppressive mycotoxin, was quantified in 3 personal filters at 3.73 μg m−3, 1.09 μg m−3 and 2.97 μg m−3.},\n\tnumber = {16},\n\turldate = {2019-03-28},\n\tjournal = {Atmospheric Environment},\n\tauthor = {Lanier, Caroline and Richard, Estelle and Heutte, Natacha and Picquet, Rachel and Bouchart, Valérie and Garon, David},\n\tmonth = may,\n\tyear = {2010},\n\tkeywords = {Agricultural environment, Bioaerosols, Molds, Mycotoxins},\n\tpages = {1980--1986},\n}\n\n
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\n In agricultural areas, the contamination of feedstuffs with molds and mycotoxins presents major environmental and health concerns. During cattle feeding, fungi and mycotoxins were monitored in corn silage, oilseed cakes and bioaerosols collected in Normandy. Most of the corn silages were found to be contaminated by deoxynivalenol (mean concentration: 1883 μg kg−1) while a few of oilseed cakes were contaminated by alternariol, fumonisin B1 or gliotoxin. In ambient bioaerosols, the values for fungi per cubic meter of air varied from 4.3 × 102 to 6.2 × 105 cfu m−3. Seasonal variations were observed with some species like Aspergillus fumigatus which significantly decreased between the 2 seasons (P = 0.0186) while the Penicillium roqueforti group significantly increased during the second season (P = 0.0156). In the personal bioaerosols, the values for fungi per cubic meter of air varied from 3.3 103 to 1.7 106 cfu m−3 and the number of A. fumigatus spores significantly decreased between the 2 seasons (P = 0.0488). Gliotoxin, an immunosuppressive mycotoxin, was quantified in 3 personal filters at 3.73 μg m−3, 1.09 μg m−3 and 2.97 μg m−3.\n
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\n  \n 2009\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Mycoflora and mycotoxin production in oilseed cakes during farm storage.\n \n \n \n\n\n \n Lanier, C.; Heutte, N.; Richard, E.; Bouchart, V.; Lebailly, P.; and Garon, D.\n\n\n \n\n\n\n Journal of Agricultural and Food Chemistry, 57(4): 1640–1645. February 2009.\n \n\n\n\n
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@article{lanier_mycoflora_2009,\n\ttitle = {Mycoflora and mycotoxin production in oilseed cakes during farm storage},\n\tvolume = {57},\n\tissn = {1520-5118},\n\tdoi = {10.1021/jf8031588},\n\tabstract = {Agricultural activities involve the use of oilseed cakes as a source of proteins for livestock. Because the storage of oilseed cakes could induce the development of molds and the production of mycotoxins, a survey was conducted during the 5 months of farm storage. Mycoflora was studied by microscopic examinations, and the presence of Aspergillus fumigatus was confirmed by polymerase chain reaction. A multimycotoxin method was developed to quantify seven mycotoxins (aflatoxin B(1), alternariol, fumonisin B(1), gliotoxin, ochratoxin A, T-2 toxin, and zearalenone) in oilseed cakes by high-performance liquid chromatography coupled to mass spectrometry. Among 34 fungal species identified, A. fumigatus and Aspergillus repens were observed during 5 and 4 months, respectively. Gliotoxin, an immunosuppressive mycotoxin, was quantified in oilseed cakes up to 45 microg/kg, which was associated with the presence of toxigenic isolates of A. fumigatus.},\n\tlanguage = {eng},\n\tnumber = {4},\n\tjournal = {Journal of Agricultural and Food Chemistry},\n\tauthor = {Lanier, Caroline and Heutte, Natacha and Richard, Estelle and Bouchart, Valerie and Lebailly, Pierre and Garon, David},\n\tmonth = feb,\n\tyear = {2009},\n\tpmid = {19183000},\n\tkeywords = {Animal Feed, Aspergillus fumigatus, Brassica napus, Chromatography, High Pressure Liquid, Food Preservation, Helianthus, Mycotoxins, Polymerase Chain Reaction, Seeds, Soybeans},\n\tpages = {1640--1645},\n}\n\n
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\n Agricultural activities involve the use of oilseed cakes as a source of proteins for livestock. Because the storage of oilseed cakes could induce the development of molds and the production of mycotoxins, a survey was conducted during the 5 months of farm storage. Mycoflora was studied by microscopic examinations, and the presence of Aspergillus fumigatus was confirmed by polymerase chain reaction. A multimycotoxin method was developed to quantify seven mycotoxins (aflatoxin B(1), alternariol, fumonisin B(1), gliotoxin, ochratoxin A, T-2 toxin, and zearalenone) in oilseed cakes by high-performance liquid chromatography coupled to mass spectrometry. Among 34 fungal species identified, A. fumigatus and Aspergillus repens were observed during 5 and 4 months, respectively. Gliotoxin, an immunosuppressive mycotoxin, was quantified in oilseed cakes up to 45 microg/kg, which was associated with the presence of toxigenic isolates of A. fumigatus.\n
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