Food consumption data as a tool to estimate exposure to mycoestrogens
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/94872 |
Resumo: | Zearalenone and alternariol are mycotoxins produced by Fusarium and Alternaria species, respectively, that present estrogenic activity and consequently are classified as endocrine disruptors. To estimate the exposure of the Portuguese population to these two mycotoxins at a national level, a modelling approach, based on data from 94 Portuguese volunteers, was developed considering as inputs: i) the food consumption data generated within the National Food and Physical Activity Survey; and ii) the human biomonitoring data used to assess the exposure to the referred mycotoxins. Six models of association between mycoestrogens urinary levels (zearalenone, total zearalenone and alternariol) and food items (meat, cheese, and fresh-cheese, breakfast cereals, sweets) were established. Applying the obtained models to the consumption data (n = 5811) of the general population, the median estimates of the probable daily intake revealed that a fraction of the Portuguese population might exceed the tolerable daily intake defined for zearalenone. A reference intake value for alternariol is still lacking, thus the characterization of risk due to the exposure to this mycotoxin was not possible to perform. Although the unavoidable uncertainties, these results are important contributions to understand the exposure to endocrine disruptors in Portugal and the potential Public Health consequences. |
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Food consumption data as a tool to estimate exposure to mycoestrogensFood consumptionModellingMycotoxinsPublic healthUrinary biomarkersToxicologyHealth, Toxicology and MutagenesisSDG 3 - Good Health and Well-beingZearalenone and alternariol are mycotoxins produced by Fusarium and Alternaria species, respectively, that present estrogenic activity and consequently are classified as endocrine disruptors. To estimate the exposure of the Portuguese population to these two mycotoxins at a national level, a modelling approach, based on data from 94 Portuguese volunteers, was developed considering as inputs: i) the food consumption data generated within the National Food and Physical Activity Survey; and ii) the human biomonitoring data used to assess the exposure to the referred mycotoxins. Six models of association between mycoestrogens urinary levels (zearalenone, total zearalenone and alternariol) and food items (meat, cheese, and fresh-cheese, breakfast cereals, sweets) were established. Applying the obtained models to the consumption data (n = 5811) of the general population, the median estimates of the probable daily intake revealed that a fraction of the Portuguese population might exceed the tolerable daily intake defined for zearalenone. A reference intake value for alternariol is still lacking, thus the characterization of risk due to the exposure to this mycotoxin was not possible to perform. Although the unavoidable uncertainties, these results are important contributions to understand the exposure to endocrine disruptors in Portugal and the potential Public Health consequences.Comprehensive Health Research Centre (CHRC) - Pólo ENSPCentro de Investigação em Saúde Pública (CISP/PHRC)Escola Nacional de Saúde Pública (ENSP)RUNMartins, CarlaTorres, DuarteLopes, CarlaCorreia, DanielaGoios, AnaAssunção, RicardoAlvito, PaulaVidal, Arnaude Boevre, Marthede Saeger, SarahNunes, Carla2020-03-23T23:26:44Z2020-01-012020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/94872eng2072-6651PURE: 17439800https://doi.org/10.3390/toxins12020118info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:42:51Zoai:run.unl.pt:10362/94872Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:38:07.582963Repositório 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 |
Food consumption data as a tool to estimate exposure to mycoestrogens |
title |
Food consumption data as a tool to estimate exposure to mycoestrogens |
spellingShingle |
Food consumption data as a tool to estimate exposure to mycoestrogens Martins, Carla Food consumption Modelling Mycotoxins Public health Urinary biomarkers Toxicology Health, Toxicology and Mutagenesis SDG 3 - Good Health and Well-being |
title_short |
Food consumption data as a tool to estimate exposure to mycoestrogens |
title_full |
Food consumption data as a tool to estimate exposure to mycoestrogens |
title_fullStr |
Food consumption data as a tool to estimate exposure to mycoestrogens |
title_full_unstemmed |
Food consumption data as a tool to estimate exposure to mycoestrogens |
title_sort |
Food consumption data as a tool to estimate exposure to mycoestrogens |
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 |
Comprehensive Health Research Centre (CHRC) - Pólo ENSP Centro de Investigação em Saúde Pública (CISP/PHRC) Escola Nacional de Saúde Pública (ENSP) RUN |
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 |
Food consumption Modelling Mycotoxins Public health Urinary biomarkers Toxicology Health, Toxicology and Mutagenesis SDG 3 - Good Health and Well-being |
topic |
Food consumption Modelling Mycotoxins Public health Urinary biomarkers Toxicology Health, Toxicology and Mutagenesis SDG 3 - Good Health and Well-being |
description |
Zearalenone and alternariol are mycotoxins produced by Fusarium and Alternaria species, respectively, that present estrogenic activity and consequently are classified as endocrine disruptors. To estimate the exposure of the Portuguese population to these two mycotoxins at a national level, a modelling approach, based on data from 94 Portuguese volunteers, was developed considering as inputs: i) the food consumption data generated within the National Food and Physical Activity Survey; and ii) the human biomonitoring data used to assess the exposure to the referred mycotoxins. Six models of association between mycoestrogens urinary levels (zearalenone, total zearalenone and alternariol) and food items (meat, cheese, and fresh-cheese, breakfast cereals, sweets) were established. Applying the obtained models to the consumption data (n = 5811) of the general population, the median estimates of the probable daily intake revealed that a fraction of the Portuguese population might exceed the tolerable daily intake defined for zearalenone. A reference intake value for alternariol is still lacking, thus the characterization of risk due to the exposure to this mycotoxin was not possible to perform. Although the unavoidable uncertainties, these results are important contributions to understand the exposure to endocrine disruptors in Portugal and the potential Public Health consequences. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-23T23:26:44Z 2020-01-01 2020-01-01T00:00:00Z |
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/10362/94872 |
url |
http://hdl.handle.net/10362/94872 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2072-6651 PURE: 17439800 https://doi.org/10.3390/toxins12020118 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137997283655680 |