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Multiomics Approach Reveals Serum Biomarker Candidates for Congenital Zika Syndrome.
Sosa-Acosta, Patricia; Quiñones-Vega, Mauricio; Guedes, Jéssica de S; Rocha, Danielle; Guida, Letícia; Vasconcelos, Zilton; Nogueira, Fábio C S; Domont, Gilberto B.
Afiliação
  • Sosa-Acosta P; Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-909, Brazil.
  • Quiñones-Vega M; Laboratory of Proteomics (LabProt), LADETEC, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-598, Brazil.
  • Guedes JS; Precision Medicine Research Center, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro 21941-902, Brazil.
  • Rocha D; Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-909, Brazil.
  • Guida L; Laboratory of Proteomics (LabProt), LADETEC, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-598, Brazil.
  • Vasconcelos Z; Precision Medicine Research Center, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro 21941-902, Brazil.
  • Nogueira FCS; Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-909, Brazil.
  • Domont GB; Laboratory of Proteomics (LabProt), LADETEC, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-598, Brazil.
J Proteome Res ; 23(4): 1200-1220, 2024 04 05.
Article em En | MEDLINE | ID: mdl-38390744
ABSTRACT
The Zika virus (ZIKV) can be vertically transmitted, causing congenital Zika syndrome (CZS) in fetuses. ZIKV infection in early gestational trimesters increases the chances of developing CZS. This syndrome involves several pathologies with a complex diagnosis. In this work, we aim to identify biological processes and molecular pathways related to CZS and propose a series of putative protein and metabolite biomarkers for CZS prognosis in early pregnancy trimesters. We analyzed serum samples of healthy pregnant women and ZIKV-infected pregnant women bearing nonmicrocephalic and microcephalic fetuses. A total of 1090 proteins and 512 metabolites were identified by bottom-up proteomics and untargeted metabolomics, respectively. Univariate and multivariate statistical approaches were applied to find CZS differentially abundant proteins (DAP) and metabolites (DAM). Enrichment analysis (i.e., biological processes and molecular pathways) of the DAP and the DAM allowed us to identify the ECM organization and proteoglycans, amino acid metabolism, and arachidonic acid metabolism as CZS signatures. Five proteins and four metabolites were selected as CZS biomarker candidates. Serum multiomics analysis led us to propose nine putative biomarkers for CZS prognosis with high sensitivity and specificity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Infecciosas na Gravidez / Zika virus / Infecção por Zika virus Limite: Female / Humans / Pregnancy Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Infecciosas na Gravidez / Zika virus / Infecção por Zika virus Limite: Female / Humans / Pregnancy Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos