Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/60506
Tipo: Artigo de Periódico
Título: Prediction of pregnancy-related hypertensive disorders using metabolomics: a systematic review
Autor(es): Jussara de Souza Mayrink Novais
Debora f Leite
Guilherme m Nobrega
Maria Laura Costa
Jose Guilherme Cecatti
Resumen: Objective:To determine the accuracy of metabolomics in predicting hypertensive disorders in pregnancy.Design Systematic review of observational studies.Data sources and study eligibility criteria An electronic literature search was performed in June 2019 and February 2022. Two researchers independently selected studies published between 1998 and 2022 on metabolomic techniques applied to predict the condition; subsequently, they extracted data and performed quality assessment. Discrepancies were dealt with a third reviewer. The primary outcome was pre- eclampsia. Cohort or case–control studies were eligible when maternal samples were taken before diagnosis of the hypertensive disorder.Study appraisal and synthesis methods Data on study design, maternal characteristics, how hypertension was diagnosed, metabolomics details and metabolites, and accuracy were independently extracted by two authors.Results Among 4613 initially identified studies on metabolomics, 68 were read in full text and 32 articles were included. Studies were excluded due to duplicated data, study design or lack of identification of metabolites. Metabolomics was applied mainly in the second trimester; the most common technique was liquid- chromatography coupled to mass spectrometry. Among the 122 different metabolites found, there were 23 amino acids and 21 fatty acids. Most of the metabolites were involved with ammonia recycling; amino acid metabolism; arachidonic acid metabolism; lipid transport, metabolism and peroxidation; fatty acid metabolism; cell signalling; galactose metabolism; nucleotide sugars metabolism; lactose degradation; and glycerolipid metabolism. Only citrate was a common metabolite for prediction of early onset and late- onset pre- eclampsia. Vitamin D was the only metabolite in common for pre- eclampsia and gestational hypertension prediction. Meta- analysis was not performed due to lack of appropriate standardised data.Conclusions and implications: Metabolite signatures may contribute to further insights into the pathogenesis of pre- eclampsia and support screening tests. Nevertheless, it is mandatory to validate such methods in larger studies with a heterogeneous population to ascertain the potential for their use in clinical practice.
Asunto: Pregnancy
Hypertension
Metabolomics
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Institución: UFMG
Departamento: MED - DEPARTAMENTO DE GINECOLOGIA OBSTETRÍCIA
Tipo de acceso: Acesso Aberto
Identificador DOI: 10.1136/bmjopen-2021-054697
URI: http://hdl.handle.net/1843/60506
Fecha del documento: 2022
metadata.dc.url.externa: https://pubmed.ncbi.nlm.nih.gov/35470187/
metadata.dc.relation.ispartof: BMJ Open
Aparece en las colecciones:Artigo de Periódico

archivos asociados a este elemento:
archivo Descripción TamañoFormato 
Prediction of pregnancy-related pdfa.pdf998 kBAdobe PDFVisualizar/Abrir


Los elementos en el repositorio están protegidos por copyright, con todos los derechos reservados, salvo cuando es indicado lo contrario.