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Plasma Lipid Profile Reveals Plasmalogens as Potential Biomarkers for Colon Cancer Screening.
Fernandes, Anna Maria A P; Messias, Marcia C F; Duarte, Gustavo H B; de Santis, Gabrielle K D; Mecatti, Giovana C; Porcari, Andreia M; Murgu, Michael; Simionato, Ana Valéria C; Rocha, Thalita; Martinez, Carlos A R; Carvalho, Patricia O.
Afiliação
  • Fernandes AMAP; Laboratory of Multidisciplinary Research, São Francisco University, Bragança Paulista, São Paulo 12916-900, Brazil.
  • Messias MCF; Laboratory of Multidisciplinary Research, São Francisco University, Bragança Paulista, São Paulo 12916-900, Brazil.
  • Duarte GHB; Institute of Chemistry (IQ), University of Campinas (UNICAMP), Campinas, São Paulo 13083-970, Brazil.
  • de Santis GKD; Laboratory of Multidisciplinary Research, São Francisco University, Bragança Paulista, São Paulo 12916-900, Brazil.
  • Mecatti GC; Laboratory of Multidisciplinary Research, São Francisco University, Bragança Paulista, São Paulo 12916-900, Brazil.
  • Porcari AM; Laboratory of Multidisciplinary Research, São Francisco University, Bragança Paulista, São Paulo 12916-900, Brazil.
  • Murgu M; Luiz Barssotti Application Laboratory, Waters Technologies from Brazil, Barueri, São Paulo 06455-020, Brazil.
  • Simionato AVC; National Institute of Science and Technology in Bioanalytics, IQ, UNICAMPCampinas, São Paulo 13083-970, Brazil.
  • Rocha T; IQ, (UNICAMP), Campinas, São Paulo 13083-970, Brazil.
  • Martinez CAR; Laboratory of Multidisciplinary Research, São Francisco University, Bragança Paulista, São Paulo 12916-900, Brazil.
  • Carvalho PO; Laboratory of Multidisciplinary Research, São Francisco University, Bragança Paulista, São Paulo 12916-900, Brazil.
Metabolites ; 10(6)2020 Jun 25.
Article em En | MEDLINE | ID: mdl-32630389
In this era of precision medicine, there is an increasingly urgent need for highly sensitive tests for detecting tumors such as colon cancer (CC), a silent disease where the first symptoms may take 10-15 years to appear. Mass spectrometry-based lipidomics is an emerging tool for such clinical diagnosis. We used ultra-performance liquid chromatography coupled to electrospray ionization quadrupole time-of-flight mass spectrometry operating in high energy collision spectral acquisition mode (MSE) mode (UPLC-QTOF-MSE) and gas chromatography (GC) to investigate differences between the plasmatic lipidic composition of CC patients and control (CTR) subjects. Key enzymes in lipidic metabolism were investigated using immuno-based detection assays. Our partial least squares discriminant analysis (PLS-DA) resulted in a suitable discrimination between CTR and CC plasma samples. Forty-two statistically significant discriminating lipids were putatively identified. Ether lipids showed a prominent presence and accordingly, a decrease in glyceronephosphate O-acyltransferase (GNPAT) enzyme activity was found. A receiver operating characteristic (ROC) curve built for three plasmalogens of phosphatidylserine (PS), named PS(P-36:1), PS(P-38:3) and PS(P-40:5), presented an area under the curve (AUC) of 0.998, and sensitivity and specificity of 100 and 85.7% respectively. These results show significant differences in CC patients' plasma lipid composition that may be useful in discriminating them from CTR individuals with a special role for plasmalogens.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Metabolites Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Metabolites Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil