Towards a personalized risk assessment for exposure of humans to toxic substances
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cadernos Saúde Coletiva (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2016000200262 |
Resumo: | Abstract Great response variability caused by genetic and/or environmental factors has been observed among organisms exposed to hazardous chemicals. This subject has been a topic of intense discussion in the USA since President Obama announced support for an “era of precision medicine”, which consists in the inclusion of genetic data of patients in the treatment design, imposing a new approach to risk assessment. Personalized evaluation must consider the phenotypic factors of an individual. Among the markers that have been developed to evaluate any alteration in the structure or function of organisms, biomarkers of susceptibility are of great importance because they indicate the natural characteristics of a given organism which make it more sensitive to a specific adverse effect or disease, or more responsive to exposure to a specific chemical/drug. The ‘-omics’ technologies provide an insight into the relationship between chemical effects and molecular mechanisms of action. These technologies are the pillars for a personalized toxicology and precision medicine. Predictive toxicology requires a more comprehensive knowledge on specific individual factors or susceptibilities predisposing to diseases, enabling personalized risk assessment and adequate medical treatment. |
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Towards a personalized risk assessment for exposure of humans to toxic substancespersonalized risksusceptibilitypredictive toxicologyhuman exposuretoxic substancesAbstract Great response variability caused by genetic and/or environmental factors has been observed among organisms exposed to hazardous chemicals. This subject has been a topic of intense discussion in the USA since President Obama announced support for an “era of precision medicine”, which consists in the inclusion of genetic data of patients in the treatment design, imposing a new approach to risk assessment. Personalized evaluation must consider the phenotypic factors of an individual. Among the markers that have been developed to evaluate any alteration in the structure or function of organisms, biomarkers of susceptibility are of great importance because they indicate the natural characteristics of a given organism which make it more sensitive to a specific adverse effect or disease, or more responsive to exposure to a specific chemical/drug. The ‘-omics’ technologies provide an insight into the relationship between chemical effects and molecular mechanisms of action. These technologies are the pillars for a personalized toxicology and precision medicine. Predictive toxicology requires a more comprehensive knowledge on specific individual factors or susceptibilities predisposing to diseases, enabling personalized risk assessment and adequate medical treatment.Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro2016-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2016000200262Cadernos Saúde Coletiva v.24 n.2 2016reponame:Cadernos Saúde Coletiva (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/1414-462X201600020135info:eu-repo/semantics/openAccessPedrete,Thaís de AlmeidaMota,Caroline de LimaGonçalves,Eline SimõesMoreira,Josino Costaeng2016-08-16T00:00:00Zoai:scielo:S1414-462X2016000200262Revistahttp://www.iesc.ufrj.br/cadernos/ONGhttps://old.scielo.br/oai/scielo-oai.phpabelha@iesc.ufrj.br||abelha@iesc.ufrj.br2358-291X1414-462Xopendoar:2016-08-16T00:00Cadernos Saúde Coletiva (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Towards a personalized risk assessment for exposure of humans to toxic substances |
title |
Towards a personalized risk assessment for exposure of humans to toxic substances |
spellingShingle |
Towards a personalized risk assessment for exposure of humans to toxic substances Pedrete,Thaís de Almeida personalized risk susceptibility predictive toxicology human exposure toxic substances |
title_short |
Towards a personalized risk assessment for exposure of humans to toxic substances |
title_full |
Towards a personalized risk assessment for exposure of humans to toxic substances |
title_fullStr |
Towards a personalized risk assessment for exposure of humans to toxic substances |
title_full_unstemmed |
Towards a personalized risk assessment for exposure of humans to toxic substances |
title_sort |
Towards a personalized risk assessment for exposure of humans to toxic substances |
author |
Pedrete,Thaís de Almeida |
author_facet |
Pedrete,Thaís de Almeida Mota,Caroline de Lima Gonçalves,Eline Simões Moreira,Josino Costa |
author_role |
author |
author2 |
Mota,Caroline de Lima Gonçalves,Eline Simões Moreira,Josino Costa |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Pedrete,Thaís de Almeida Mota,Caroline de Lima Gonçalves,Eline Simões Moreira,Josino Costa |
dc.subject.por.fl_str_mv |
personalized risk susceptibility predictive toxicology human exposure toxic substances |
topic |
personalized risk susceptibility predictive toxicology human exposure toxic substances |
description |
Abstract Great response variability caused by genetic and/or environmental factors has been observed among organisms exposed to hazardous chemicals. This subject has been a topic of intense discussion in the USA since President Obama announced support for an “era of precision medicine”, which consists in the inclusion of genetic data of patients in the treatment design, imposing a new approach to risk assessment. Personalized evaluation must consider the phenotypic factors of an individual. Among the markers that have been developed to evaluate any alteration in the structure or function of organisms, biomarkers of susceptibility are of great importance because they indicate the natural characteristics of a given organism which make it more sensitive to a specific adverse effect or disease, or more responsive to exposure to a specific chemical/drug. The ‘-omics’ technologies provide an insight into the relationship between chemical effects and molecular mechanisms of action. These technologies are the pillars for a personalized toxicology and precision medicine. Predictive toxicology requires a more comprehensive knowledge on specific individual factors or susceptibilities predisposing to diseases, enabling personalized risk assessment and adequate medical treatment. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2016000200262 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2016000200262 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1414-462X201600020135 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro |
publisher.none.fl_str_mv |
Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro |
dc.source.none.fl_str_mv |
Cadernos Saúde Coletiva v.24 n.2 2016 reponame:Cadernos Saúde Coletiva (Online) instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Cadernos Saúde Coletiva (Online) |
collection |
Cadernos Saúde Coletiva (Online) |
repository.name.fl_str_mv |
Cadernos Saúde Coletiva (Online) - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
abelha@iesc.ufrj.br||abelha@iesc.ufrj.br |
_version_ |
1750128224848838656 |