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Assessment of periportal fibrosis in Schistosomiasis mansoni patients by proton nuclear magnetic resonance-based metabonomics models.
Rodrigues, Milena Lima; da Luz, Tatiane Priscila Santos Rodrigues; Pereira, Caroline Louise Diniz; Batista, Andrea Dória; Domingues, Ana Lúcia Coutinho; Silva, Ricardo Oliveira; Lopes, Edmundo Pessoa.
Afiliación
  • Rodrigues ML; Programa de Pós-Graduação em Medicina Tropical, Centro de Ciências Médicas, Universidade Federal de Pernambuco, Recife 50670-901, Pernambuco, Brazil.
  • da Luz TPSR; Programa de Pós-Graduação em Química, Centro de Ciências Exatas e da Natureza, Universidade Federal de Pernambuco, Recife 50670-740, Pernambuco, Brazil.
  • Pereira CLD; Programa de Pós-Graduação em Medicina Tropical, Centro de Ciências Médicas, Universidade Federal de Pernambuco, Recife 50670-901, Pernambuco, Brazil.
  • Batista AD; Hospital das Clínicas, Departamento de Medicina Clínica, Universidade Federal de Pernambuco, Recife 50670-901, Pernambuco, Brazil.
  • Domingues ALC; Programa de Pós-Graduação em Medicina Tropical, Centro de Ciências Médicas, Universidade Federal de Pernambuco, Recife 50670-901, Pernambuco, Brazil.
  • Silva RO; Programa de Pós-Graduação em Química, Centro de Ciências Exatas e da Natureza, Universidade Federal de Pernambuco, Recife 50670-740, Pernambuco, Brazil.
  • Lopes EP; Programa de Pós-Graduação em Medicina Tropical, Centro de Ciências Médicas, Universidade Federal de Pernambuco, Recife 50670-901, Pernambuco, Brazil.
World J Hepatol ; 14(4): 719-728, 2022 Apr 27.
Article en En | MEDLINE | ID: mdl-35646266
BACKGROUND: The evaluation of periportal fibrosis (PPF) is essential for a prognostic assessment of patients with Schistosomiasis mansoni. The WHO Niamey Protocol defines patterns of fibrosis from abdominal ultrasonography, 1H-nuclear magnetic resonance (NMR)-based metabonomics has been employed to assess liver fibrosis in some diseases. AIM: To build 1H-NMR-based metabonomics models (MM) to discriminate mild from significant periportal PPF and identify differences in the metabolite profiles. METHODS: A prospective cross-sectional study was performed on schistosomiasis patients at a University Hospital in Northeastern Brazil. We evaluated 41 serum samples from 10 patients with mild PPF (C Niamey pattern) and 31 patients with significant PPF (D/E/F Niamey patterns). MM were built using partial least squares-discriminant analysis (PLS-DA) and orthogonal projections to latent structures discriminant analysis (OPLS-DA) formalisms. RESULTS: PLS-DA and OPLS-DA resulted in discrimination between mild and significant PPF groups with R2 and Q2 values of 0.80 and 0.38 and 0.72 and 0.42 for each model, respectively. The OPLS-DA model presented accuracy, sensitivity, and specificity values of 92.7%, 90.3%, and 100% to discriminate significant PPF. The metabolites identified as responsible by discrimination were: N-acetylglucosamines, alanine, glycolaldehyde, carbohydrates, and valine. CONCLUSION: MMs discriminated mild from significant PPF patterns in patients with Schistosomiasis mansoni through identification of differences in serum metabolites profiles.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Revista: World J Hepatol Año: 2022 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Revista: World J Hepatol Año: 2022 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos