Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy?
Autor(a) principal: | |
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Data de Publicação: | 2012 |
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/10316/102725 https://doi.org/10.1155/2012/128367 |
Resumo: | This paper describes a metabonomics study of 2nd trimester biofluids (amniotic fluid, maternal urine, and blood plasma), in an attempt to correlate biofluid metabolic changes with suspected/diagnosed fetal malformations (FM) and chromosomal disorders as well as with later occurring gestational diabetes mellitus (GDM), preterm delivery (PTD), and premature rupture of membranes (PROM). The global biochemical picture given by the threesome of biofluids should enable the definition of potential disease signatures and unveil potential metabolite markers for clinical use in predictive prenatal diagnostics. Results show that relatively strong metabolic disturbances accompany FM, reflected in all three biofluids and thus suggesting the involvement of both fetal and maternal metabolisms. Regarding GDM, amniotic fluid and maternal urine seem potential good media to detect early metabolic changes, and PTD subjects show small metabolite changes in the same biofluids, undergoing work being focused on plasma composition. Chromosomal disorders show an interestingly marked effect on maternal urine, whereas no statistically relevant early changes have been observed for PROM subjects. Interestingly, in the case of FM and chromosomal disorders, maternal biofluids show some sensitivity to disorder type, for example, for central nervous system malformations and trisomy 21, respectively. These results show the usefulness of biofluid metabonomics to probe overall metabolic disturbances in relation to prenatal disorders. |
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Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy?Prenatal healthpregnancydiagnosisdiabetespretermtrisomyamniotic fluidurine bloodmetabolomicsmetabonomicsNMRmultivariate analysisThis paper describes a metabonomics study of 2nd trimester biofluids (amniotic fluid, maternal urine, and blood plasma), in an attempt to correlate biofluid metabolic changes with suspected/diagnosed fetal malformations (FM) and chromosomal disorders as well as with later occurring gestational diabetes mellitus (GDM), preterm delivery (PTD), and premature rupture of membranes (PROM). The global biochemical picture given by the threesome of biofluids should enable the definition of potential disease signatures and unveil potential metabolite markers for clinical use in predictive prenatal diagnostics. Results show that relatively strong metabolic disturbances accompany FM, reflected in all three biofluids and thus suggesting the involvement of both fetal and maternal metabolisms. Regarding GDM, amniotic fluid and maternal urine seem potential good media to detect early metabolic changes, and PTD subjects show small metabolite changes in the same biofluids, undergoing work being focused on plasma composition. Chromosomal disorders show an interestingly marked effect on maternal urine, whereas no statistically relevant early changes have been observed for PROM subjects. Interestingly, in the case of FM and chromosomal disorders, maternal biofluids show some sensitivity to disorder type, for example, for central nervous system malformations and trisomy 21, respectively. These results show the usefulness of biofluid metabonomics to probe overall metabolic disturbances in relation to prenatal disorders.2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/102725http://hdl.handle.net/10316/102725https://doi.org/10.1155/2012/128367eng0712-48131875-922XGraça, GonçaloDiaz, Sílvia O.Pinto, JoanaBarros, António S.Duarte, Iola F.Goodfellow, Brian J.Galhano, EuláliaPita, CristinaAlmeida, Maria do CéuCarreira, Isabel M.Gil, Ana M.info: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:RCAAP2022-10-10T20:31:31Zoai:estudogeral.uc.pt:10316/102725Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:19:39.624592Repositório 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 |
Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy? |
title |
Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy? |
spellingShingle |
Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy? Graça, Gonçalo Prenatal health pregnancy diagnosis diabetes preterm trisomy amniotic fluid urine blood metabolomics metabonomics NMR multivariate analysis |
title_short |
Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy? |
title_full |
Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy? |
title_fullStr |
Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy? |
title_full_unstemmed |
Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy? |
title_sort |
Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy? |
author |
Graça, Gonçalo |
author_facet |
Graça, Gonçalo Diaz, Sílvia O. Pinto, Joana Barros, António S. Duarte, Iola F. Goodfellow, Brian J. Galhano, Eulália Pita, Cristina Almeida, Maria do Céu Carreira, Isabel M. Gil, Ana M. |
author_role |
author |
author2 |
Diaz, Sílvia O. Pinto, Joana Barros, António S. Duarte, Iola F. Goodfellow, Brian J. Galhano, Eulália Pita, Cristina Almeida, Maria do Céu Carreira, Isabel M. Gil, Ana M. |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Graça, Gonçalo Diaz, Sílvia O. Pinto, Joana Barros, António S. Duarte, Iola F. Goodfellow, Brian J. Galhano, Eulália Pita, Cristina Almeida, Maria do Céu Carreira, Isabel M. Gil, Ana M. |
dc.subject.por.fl_str_mv |
Prenatal health pregnancy diagnosis diabetes preterm trisomy amniotic fluid urine blood metabolomics metabonomics NMR multivariate analysis |
topic |
Prenatal health pregnancy diagnosis diabetes preterm trisomy amniotic fluid urine blood metabolomics metabonomics NMR multivariate analysis |
description |
This paper describes a metabonomics study of 2nd trimester biofluids (amniotic fluid, maternal urine, and blood plasma), in an attempt to correlate biofluid metabolic changes with suspected/diagnosed fetal malformations (FM) and chromosomal disorders as well as with later occurring gestational diabetes mellitus (GDM), preterm delivery (PTD), and premature rupture of membranes (PROM). The global biochemical picture given by the threesome of biofluids should enable the definition of potential disease signatures and unveil potential metabolite markers for clinical use in predictive prenatal diagnostics. Results show that relatively strong metabolic disturbances accompany FM, reflected in all three biofluids and thus suggesting the involvement of both fetal and maternal metabolisms. Regarding GDM, amniotic fluid and maternal urine seem potential good media to detect early metabolic changes, and PTD subjects show small metabolite changes in the same biofluids, undergoing work being focused on plasma composition. Chromosomal disorders show an interestingly marked effect on maternal urine, whereas no statistically relevant early changes have been observed for PROM subjects. Interestingly, in the case of FM and chromosomal disorders, maternal biofluids show some sensitivity to disorder type, for example, for central nervous system malformations and trisomy 21, respectively. These results show the usefulness of biofluid metabonomics to probe overall metabolic disturbances in relation to prenatal disorders. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 |
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/10316/102725 http://hdl.handle.net/10316/102725 https://doi.org/10.1155/2012/128367 |
url |
http://hdl.handle.net/10316/102725 https://doi.org/10.1155/2012/128367 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0712-4813 1875-922X |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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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1799134090695278592 |