Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin

Detalhes bibliográficos
Autor(a) principal: Martins, Carla
Data de Publicação: 2020
Outros Autores: Torres, Duarte, Lopes, Carla, Correia, Daniela, Goios, Ana, Assunção, Ricardo, Alvito, Paula, Vidal, Arnau, De Boevre, Marthe, De Saeger, Sarah, Nunes, Carla
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.18/7497
Resumo: Deoxynivalenol (DON), an enteropathogenic mycotoxin produced by Fusarium species, is usually associated with adverse health outcomes such as gastrointestinal diseases and immunotoxicity. To estimate DON exposure of the Portuguese population at national level, a modelling approach, based on data from 94 Portuguese volunteers, was developed considering the inputs of the food consumption data generated within the National Food and Physical Activity Survey and the human biomonitoring data used to assess the exposure to DON. Ten models of association between DON urinary biomarkers and food items (pasta, cookies, biscuits, sweets, bread, rusks, nuts, oilseeds, beer, meat, milk) were established. Applying the most adequate model to the consumption data (n = 5811) of the general population, the exposure estimates of the Probable Daily Intake revealed that a fraction (0.1%) of the Portuguese population might exceed the Tolerable Daily Intake defined for DON. The analysis stratified by age revealed children (3.2%) and adolescents (6.0%) are more likely to exceed the Tolerable Daily Intake for DON. Although the unavoidable uncertainties, these results are important contributions to understand the exposure to this mycotoxin in Portugal, to assess the associated risk and the potential public health consequences.
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spelling Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxinDeoxynivalenol (DON)MicotoxinsModelingFood ComsuptionPublic HealthSegurança AlimentarAvaliação de RiscoToxicologiaDeoxynivalenol (DON), an enteropathogenic mycotoxin produced by Fusarium species, is usually associated with adverse health outcomes such as gastrointestinal diseases and immunotoxicity. To estimate DON exposure of the Portuguese population at national level, a modelling approach, based on data from 94 Portuguese volunteers, was developed considering the inputs of the food consumption data generated within the National Food and Physical Activity Survey and the human biomonitoring data used to assess the exposure to DON. Ten models of association between DON urinary biomarkers and food items (pasta, cookies, biscuits, sweets, bread, rusks, nuts, oilseeds, beer, meat, milk) were established. Applying the most adequate model to the consumption data (n = 5811) of the general population, the exposure estimates of the Probable Daily Intake revealed that a fraction (0.1%) of the Portuguese population might exceed the Tolerable Daily Intake defined for DON. The analysis stratified by age revealed children (3.2%) and adolescents (6.0%) are more likely to exceed the Tolerable Daily Intake for DON. Although the unavoidable uncertainties, these results are important contributions to understand the exposure to this mycotoxin in Portugal, to assess the associated risk and the potential public health consequences.Thanks are due to FCT/MCTES for the financial support to CESAM (UIDP/50017/2020 + UIDB/50017/2020), through national funds. This research was also supported by the project MYTOX-SOUTH, a Ghent University Global Minds programme, and IAN-AF survey funded by the EEA Grants Program, Public Health Initiatives (PT06-000088SI3).Elsevier/ Canadian Institute of Food Science and Technology (CIFST)Repositório Científico do Instituto Nacional de SaúdeMartins, CarlaTorres, DuarteLopes, CarlaCorreia, DanielaGoios, AnaAssunção, RicardoAlvito, PaulaVidal, ArnauDe Boevre, MartheDe Saeger, SarahNunes, Carla2021-03-15T15:52:58Z2020-11-032020-11-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/7497engFood Res Int. 2021 Feb;140:109863. doi: 10.1016/j.foodres.2020.109863. Epub 2020 Nov 3.0963-996910.1016/j.foodres.2020.109863info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-20T15:42:04Zoai:repositorio.insa.pt:10400.18/7497Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:42:11.920405Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin
title Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin
spellingShingle Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin
Martins, Carla
Deoxynivalenol (DON)
Micotoxins
Modeling
Food Comsuption
Public Health
Segurança Alimentar
Avaliação de Risco
Toxicologia
title_short Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin
title_full Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin
title_fullStr Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin
title_full_unstemmed Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin
title_sort Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin
author Martins, Carla
author_facet Martins, Carla
Torres, Duarte
Lopes, Carla
Correia, Daniela
Goios, Ana
Assunção, Ricardo
Alvito, Paula
Vidal, Arnau
De Boevre, Marthe
De Saeger, Sarah
Nunes, Carla
author_role author
author2 Torres, Duarte
Lopes, Carla
Correia, Daniela
Goios, Ana
Assunção, Ricardo
Alvito, Paula
Vidal, Arnau
De Boevre, Marthe
De Saeger, Sarah
Nunes, Carla
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Martins, Carla
Torres, Duarte
Lopes, Carla
Correia, Daniela
Goios, Ana
Assunção, Ricardo
Alvito, Paula
Vidal, Arnau
De Boevre, Marthe
De Saeger, Sarah
Nunes, Carla
dc.subject.por.fl_str_mv Deoxynivalenol (DON)
Micotoxins
Modeling
Food Comsuption
Public Health
Segurança Alimentar
Avaliação de Risco
Toxicologia
topic Deoxynivalenol (DON)
Micotoxins
Modeling
Food Comsuption
Public Health
Segurança Alimentar
Avaliação de Risco
Toxicologia
description Deoxynivalenol (DON), an enteropathogenic mycotoxin produced by Fusarium species, is usually associated with adverse health outcomes such as gastrointestinal diseases and immunotoxicity. To estimate DON exposure of the Portuguese population at national level, a modelling approach, based on data from 94 Portuguese volunteers, was developed considering the inputs of the food consumption data generated within the National Food and Physical Activity Survey and the human biomonitoring data used to assess the exposure to DON. Ten models of association between DON urinary biomarkers and food items (pasta, cookies, biscuits, sweets, bread, rusks, nuts, oilseeds, beer, meat, milk) were established. Applying the most adequate model to the consumption data (n = 5811) of the general population, the exposure estimates of the Probable Daily Intake revealed that a fraction (0.1%) of the Portuguese population might exceed the Tolerable Daily Intake defined for DON. The analysis stratified by age revealed children (3.2%) and adolescents (6.0%) are more likely to exceed the Tolerable Daily Intake for DON. Although the unavoidable uncertainties, these results are important contributions to understand the exposure to this mycotoxin in Portugal, to assess the associated risk and the potential public health consequences.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-03
2020-11-03T00:00:00Z
2021-03-15T15:52:58Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.18/7497
url http://hdl.handle.net/10400.18/7497
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Food Res Int. 2021 Feb;140:109863. doi: 10.1016/j.foodres.2020.109863. Epub 2020 Nov 3.
0963-9969
10.1016/j.foodres.2020.109863
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier/ Canadian Institute of Food Science and Technology (CIFST)
publisher.none.fl_str_mv Elsevier/ Canadian Institute of Food Science and Technology (CIFST)
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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