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Hajji-Louati M, Cordina-Duverger E, Laouali N, Mancini FR, Guénel P. A case-control study in France showing that a pro-inflammatory diet is associated with a higher risk of breast cancer. Sci Rep 2021; 11:17019. [PMID: 34426601 PMCID: PMC8382695 DOI: 10.1038/s41598-021-95955-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 08/02/2021] [Indexed: 02/07/2023] Open
Abstract
Dietary regimens promoting inflammatory conditions have been implicated in breast cancer development, but studies on the association between pro-inflammatory diet and breast cancer risk have reported inconsistent results. We investigated the association between the inflammatory potential of diet and breast cancer risk in a case-control study in France including 872 breast cancer cases and 966 population controls. All women completed a food frequency questionnaire that was used to compute a Dietary Inflammatory Index (DII) based on the inflammatory weight of 33 dietary components. The DII ranged from a median of - 3.22 in the lowest quartile (anti-inflammatory) to + 2.96 in the highest quartile (pro-inflammatory). The odds ratio contrasting quartile 4 to quartile 1 was 1.31 (95% CI 1.00, 1.73; p-trend = 0.02). Slightly higher odds ratios were observed in post-menopausal women, particularly those with body mass index > 25 kg/m2 (odds ratio 1.62; 95% CI 0.92, 2.83; p-trend = 0.02), and among ever smokers (odds ratio 1.71; 95% CI 1.11, 2.65; p-trend 0.01). The analyses by breast cancer subtype showed that the DII was associated with breast tumors that expressed either the estrogen (ER) or progesterone (PR) hormone receptors or the Human Epidermal Growth Factor Receptor-2 (HER2), but no association was seen for the triple negative breast tumor subtype. Our results add further evidence that a pro-inflammatory diet is associated with breast cancer risk with possible effect variation according to tumor subtype.
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Affiliation(s)
- Mariem Hajji-Louati
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, U1018 Inserm, University Paris-Saclay, Institut Gustave Roussy, 94800, Villejuif Cedex, France
| | - Emilie Cordina-Duverger
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, U1018 Inserm, University Paris-Saclay, Institut Gustave Roussy, 94800, Villejuif Cedex, France
| | - Nasser Laouali
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, U1018 Inserm, University Paris-Saclay, Institut Gustave Roussy, 94800, Villejuif Cedex, France
| | - Francesca-Romana Mancini
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, U1018 Inserm, University Paris-Saclay, Institut Gustave Roussy, 94800, Villejuif Cedex, France
| | - Pascal Guénel
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, U1018 Inserm, University Paris-Saclay, Institut Gustave Roussy, 94800, Villejuif Cedex, France.
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Cordova R, Knaze V, Viallon V, Rust P, Schalkwijk CG, Weiderpass E, Wagner KH, Mayen-Chacon AL, Aglago EK, Dahm CC, Overvad K, Tjønneland A, Halkjær J, Mancini FR, Boutron-Ruault MC, Fagherazzi G, Katzke V, Kühn T, Schulze MB, Boeing H, Trichopoulou A, Karakatsani A, Thriskos P, Masala G, Krogh V, Panico S, Tumino R, Ricceri F, Spijkerman A, Boer J, Skeie G, Rylander C, Borch KB, Quirós JR, Agudo A, Redondo-Sánchez D, Amiano P, Gómez-Gómez JH, Barricarte A, Ramne S, Sonestedt E, Johansson I, Esberg A, Tong T, Aune D, Tsilidis KK, Gunter MJ, Jenab M, Freisling H. Dietary intake of advanced glycation end products (AGEs) and changes in body weight in European adults. Eur J Nutr 2020; 59:2893-2904. [PMID: 31701336 DOI: 10.1007/s00394-019-02129-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 10/23/2019] [Indexed: 12/17/2022]
Abstract
PURPOSE Advanced glycation end products (AGEs) can be formed in foods by the reaction of reducing sugars with proteins, and have been shown to induce insulin resistance and obesity in experimental studies. We examined the association between dietary AGEs intake and changes in body weight in adults over an average of 5 years of follow-up. METHODS A total of 255,170 participants aged 25-70 years were recruited in ten European countries (1992-2000) in the PANACEA study (Physical Activity, Nutrition, Alcohol, Cessation of smoking, Eating out of home in relation to Anthropometry), a sub-cohort of the EPIC (European Prospective Investigation into Cancer and Nutrition). Body weight was measured at recruitment and self-reported between 2 and 11 years later depending on the study center. A reference database for AGEs was used containing UPLC-MS/MS-measured Nε-(carboxymethyl)-lysine (CML), Nε-(1-carboxyethyl)-lysine (CEL), and Nδ-(5-hydro-5-methyl-4-imidazolon-2-yl)-ornithine (MG-H1) in 200 common European foods. This reference database was matched to foods and decomposed recipes obtained from country-specific validated dietary questionnaires in EPIC and intake levels of CEL, CML, and MG-H1 were estimated. Associations between dietary AGEs intake and body weight change were estimated separately for each of the three AGEs using multilevel mixed linear regression models with center as random effect and dietary AGEs intake and relevant confounders as fixed effects. RESULTS A one-SD increment in CEL intake was associated with 0.111 kg (95% CI 0.087-0.135) additional weight gain over 5 years. The corresponding additional weight gain for CML and MG-H1 was 0.065 kg (0.041-0.089) and 0.034 kg (0.012, 0.057), respectively. The top six food groups contributing to AGEs intake, with varying proportions across the AGEs, were cereals/cereal products, meat/processed meat, cakes/biscuits, dairy, sugar and confectionary, and fish/shellfish. CONCLUSION In this study of European adults, higher intakes of AGEs were associated with marginally greater weight gain over an average of 5 years of follow-up.
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Affiliation(s)
- R Cordova
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - V Knaze
- Section of Early Detection and Prevention, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - V Viallon
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - P Rust
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - C G Schalkwijk
- Department of Internal Medicine, Laboratory of Metabolism and Vascular Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - E Weiderpass
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - K-H Wagner
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - A-L Mayen-Chacon
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - E K Aglago
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - C C Dahm
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - K Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - A Tjønneland
- Danish Cancer Society Research Center Copenhagen, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - J Halkjær
- Danish Cancer Society Research Center Copenhagen, Copenhagen, Denmark
| | - F R Mancini
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine-UVSQ-INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - M-C Boutron-Ruault
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine-UVSQ-INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - G Fagherazzi
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine-UVSQ-INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - V Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - T Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - M B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
| | - H Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | | | - A Karakatsani
- Hellenic Health Foundation, Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, ATTIKON University Hospital, Haidari, Greece
| | - P Thriskos
- Hellenic Health Foundation, Athens, Greece
| | - G Masala
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network-ISPRO, Florence, Italy
| | - V Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - S Panico
- Dipartimento di Medicina Clinica E Chirurgia, Federico II University, Naples, Italy
| | - R Tumino
- Cancer Registry and Histopathology Unit, Azienda Sanitaria Provinciale (ASP) Ragusa, Ragusa, Italy
| | - F Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Turin, TO, Italy
| | - A Spijkerman
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - J Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - G Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway
| | - C Rylander
- Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway
| | - K B Borch
- Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway
| | - J R Quirós
- Public Health Directorate, Asturias, Spain
| | - A Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - D Redondo-Sánchez
- Andalusian School of Public Health. Biomedical Research Institute ibs.GRANADA, University of Granada, Granada, Spain
- CIBER of Epidemiology and Public Health, Madrid, Spain
| | - P Amiano
- CIBER of Epidemiology and Public Health, Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - J-H Gómez-Gómez
- Department of Epidemiology and Murcia Regional Health Council, Universidad de Murcia, Murcia, Spain
| | - A Barricarte
- CIBER of Epidemiology and Public Health, Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - S Ramne
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - E Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - I Johansson
- Department of Odontology, Umeå University, Umeå, Sweden
| | - A Esberg
- Department of Odontology, Umeå University, Umeå, Sweden
| | - T Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - D Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - K K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine University Campus Ioannina, Ioannina, Greece
| | - M J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - M Jenab
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), 150 cours Albert Thomas, CEDEX 08, 69372, Lyon, France.
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Fagherazzi G, Gusto G, Mancini FR, Dow C, Rajaobelina K, Balkau B, Boutron-Ruault MC, Bonnet F. Determinants of 20-year non-progression to Type 2 diabetes in women at very high risk: the E3N cohort study. Diabet Med 2018; 35:1716-1721. [PMID: 29978499 DOI: 10.1111/dme.13774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/04/2018] [Indexed: 01/20/2023]
Abstract
AIMS To identify the most important determinants associated with not developing Type 2 diabetes in women considered to be at very high risk. METHODS Between 1995 and 2014, we followed 402 women from the E3N cohort study who were considered to be at very high risk of Type 2 diabetes based on the D.E.S.I.R. score. We then computed a classification and regression tree model to identify, among a large set of risk factors, the top risk factors associated with not having Type 2 diabetes at the end of the follow-up. RESULTS During follow-up, 117 women (29%) were diagnosed with Type 2 diabetes, while 285 (71%) were still free of the disease in 2014. A low Western dietary pattern score was the top characteristic associated with not developing Type 2 diabetes, as only 20% of the women at very high risk in the E3N study with that characteristic developed Type 2 diabetes (compared with 29% overall). In women with a moderate or high Western dietary pattern score, the most important characteristic associated with not developing Type 2 diabetes was a high total dietary antioxidant capacity, as only 26% of these women ultimately developed Type 2 diabetes. CONCLUSIONS We showed that the top characteristic associated with not developing Type 2 diabetes, despite being at very high risk, was a healthy diet, characterized by limiting Western dietary habits, but with a high intake of antioxidant-rich foods. This underscores the importance of diet in the prevention of Type 2 diabetes in people at high risk.
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Affiliation(s)
- G Fagherazzi
- Inserm U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
- Paris-South Paris Saclay University, Villejuif, France
| | - G Gusto
- Inserm U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
- Paris-South Paris Saclay University, Villejuif, France
| | - F R Mancini
- Inserm U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
- Paris-South Paris Saclay University, Villejuif, France
| | - C Dow
- Inserm U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
- Paris-South Paris Saclay University, Villejuif, France
| | - K Rajaobelina
- Inserm U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
- Paris-South Paris Saclay University, Villejuif, France
| | - B Balkau
- Inserm U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
- Paris-South Paris Saclay University, Villejuif, France
- Versailles-Saint Quentin University, Villejuif, France
| | - M-C Boutron-Ruault
- Inserm U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
- Paris-South Paris Saclay University, Villejuif, France
| | - F Bonnet
- Inserm U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
- Paris-South Paris Saclay University, Villejuif, France
- CHU Rennes, Rennes 1 University, Rennes, France
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Coudon T, Hourani H, Nguyen C, Faure E, Mancini FR, Fervers B, Salizzoni P. Assessment of long-term exposure to airborne dioxin and cadmium concentrations in the Lyon metropolitan area (France). Environ Int 2018; 111:177-190. [PMID: 29220728 DOI: 10.1016/j.envint.2017.11.027] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 11/28/2017] [Accepted: 11/28/2017] [Indexed: 06/07/2023]
Abstract
Identifying the long-term effects of airborne pollutants requires the computation of the spatial and temporal variability of their concentration in air to estimate the exposure of the population. To estimate exposure levels of individuals in a breast cancer case control study nested in a national prospective cohort, we determine here the differential impact of a variety of cadmium and dioxin sources on urban air over a large urban area and over a period of almost 20years. To that end, we couple an emission model, to estimate dioxin and cadmium atmospheric annual releases, with an urban dispersion model in order to compute pollutant concentration fields at a fine temporal (1h) and spatial (25m) resolution. The reliability of the modelling chain is compared to two types of measurement: i) localized industrial emissions and ii) dioxin and cadmium air monitoring data (from 2007 to 2008), collected at a fixed station, placed in the city centre, as well as at three mobile short-term dioxin monitoring stations, located in the suburbs (the latter providing dioxin data, only). Comparisons between measured and estimated emissions show non-negligible difference, with a correlations for dioxin (rs=0.42) and cadmium (rs=0.41). Despite this, mean values between estimated emissions and emission measurements are close to each other, in particular for cadmium. Weekly average modelled concentrations show an overall good agreement with weekly average measured concentrations in spring and summer but are generally lower than monitored data in winter due to peak concentrations from diffuse sources representing an important proportion of emissions in 2007/2008. The model provides better results for cadmium than for dioxin. Despite the relevant errors in the model predictions, the model meets the validation criteria, defined by Chang and Hanna for an urban dispersion model. Simulation scenarios of air pollutant concentrations, reconstructed over the last 20years, show the effects of the variability of the pollutant sources over time with decreasing levels of dioxin and cadmium concentrations in air. This is primarily due to the reduction in localized industrial releases, which results in a general trend of homogenization of the exposure of the population. The model further allows us to dissociate the contribution of different types of pollutant sources on the population exposure. The impact on local concentrations due to industrial emissions, which were originally responsible for the major impact on air quality, is shown to drop over the years by 99% and 92% for dioxin and cadmium, respectively. Today, the major contributions are due to diffuse miscellaneous sources in the case of dioxin and to traffic-related emissions for cadmium. Average modelled concentrations at the study subjects' residential locations range from 10.2 to 82.1fg-TEQ/m3 for dioxin and 0.10 to 1.6ng/m3 for cadmium and are comparable with data from the literature. The study results will be essential to increase the accuracy of the assessment of long-term airborne dioxin and cadmium exposure and improve the results of epidemiological studies.
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Affiliation(s)
- T Coudon
- Département Cancer & Environnement, Centre Léon Bérard, Lyon 69008, France; Université Claude Bernard Lyon 1, Villeurbanne 69100, France.
| | - H Hourani
- Département Cancer & Environnement, Centre Léon Bérard, Lyon 69008, France
| | - C Nguyen
- Laboratory of Fluid Mechanics and Acoustics, Ecole Centrale de Lyon, Ecully 69134, France
| | - E Faure
- Département Cancer & Environnement, Centre Léon Bérard, Lyon 69008, France
| | - F R Mancini
- Centre de Recherche en Épidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Medicine, Université Paris-Saclay, UPS, UVSQ, Gustave Roussy, Villejuif, France
| | - B Fervers
- Département Cancer & Environnement, Centre Léon Bérard, Lyon 69008, France; Université Claude Bernard Lyon 1, Villeurbanne 69100, France; INSERM 1052, CNRS 5286, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France
| | - P Salizzoni
- Laboratory of Fluid Mechanics and Acoustics, Ecole Centrale de Lyon, Ecully 69134, France
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Cubadda F, D'Amato M, Mancini FR, Aureli F, Raggi A, Busani L, Mantovani A. Assessing human exposure to inorganic arsenic in high-arsenic areas of Latium: a biomonitoring study integrated with indicators of dietary intake. Ann Ig 2015; 27:39-51. [PMID: 25748504 DOI: 10.7416/ai.2015.2021] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND In Latium (central Italy), arsenic concentrations exceeding the regulatory limit of 10 μg/L for drinking water are present in groundwater from a large area of volcanic origin. At least in part of the area, high arsenic concentrations have been detected also in soil and phytoavailable geogenic arsenic enters the food chain. As a result, local population may be exposed to inorganic arsenic via water and also through consumption of food with higher than background arsenic concentrations. METHODS A cross sectional study was conducted to assess inorganic arsenic exposure and metabolism in 269 residents of 27 municipalities in the provinces of Viterbo, Rome and Latina. Total arsenic in toenails and the sum of inorganic arsenic and methylated metabolites in urine, the latter determined by HPLC-ICP-MS, were used as biomarkers of inorganic arsenic exposure. All the subjects involved in the study provided samples of the water(s) used for drinking and cooking as well as detailed information on water use. To get an insight into dietary intake from locally-processed food, inorganic arsenic in bread samples collected in affected municipalities of the three provinces was determined and compared to background levels of samples from reference areas. RESULTS 30% of the sample used bottled water or resorted to water treatment in order to lower the arsenic content <10 μg/L (Group 1), 51% of the sample drank bottled water and used tap water with an arsenic content exceeding 10 μg/L for cooking only (Group 2), 19% of the sample used tap water with an arsenic content exceeding 10 μg/L for both drinking and cooking (Group 3). Nail arsenic was higher for Group 2 and 3 compared to Group 1, whereas all groups had higher nail arsenic than the reference group. The sum of inorganic arsenic and related metabolites in urine was higher in Group 3 than in the other two groups, and higher in Group 2 compared to Group 1. White bread from the study area showed significantly higher inorganic arsenic levels compared to samples from reference areas. CONCLUSIONS Use of toenail arsenic as biomarker of long-term exposure allowed to retrospectively reconstruct exposure irrespective of recent modifications due to changes in water use. In Group 3, urinary concentration of inorganic arsenic and metabolites exceeded the upper limit of the reference concentration range for the Italian population. Inter-individual variability of the efficiency of arsenic metabolism in the study population was substantial indicating that a subgroup of the population is more susceptible to the toxic effects of inorganic arsenic owing to a lower methylation capability.
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Affiliation(s)
- F Cubadda
- Department of Food Safety and Veterinary Public Health, Istituto Superiore di Sanità-Italian National Health Institute, Rome, Italy
| | - M D'Amato
- Department of Food Safety and Veterinary Public Health, Istituto Superiore di Sanità-Italian National Health Institute, Rome, Italy
| | - F R Mancini
- Department of Food Safety and Veterinary Public Health, Istituto Superiore di Sanità-Italian National Health Institute, Rome, Italy - Department of Veterinary Medicine, University of Bologna, Italy
| | - F Aureli
- Department of Food Safety and Veterinary Public Health, Istituto Superiore di Sanità-Italian National Health Institute, Rome, Italy
| | - A Raggi
- Department of Food Safety and Veterinary Public Health, Istituto Superiore di Sanità-Italian National Health Institute, Rome, Italy
| | - L Busani
- Department of Food Safety and Veterinary Public Health, Istituto Superiore di Sanità-Italian National Health Institute, Rome, Italy
| | - A Mantovani
- Department of Food Safety and Veterinary Public Health, Istituto Superiore di Sanità-Italian National Health Institute, Rome, Italy
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