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Metabolomics discloses potential biomarkers to predict the acute HVPG response to propranolol in patients with cirrhosis.
Reverter, Enric; Lozano, Juan J; Alonso, Cristina; Berzigotti, Annalisa; Seijo, Susana; Turon, Fanny; Baiges, Anna; Martínez-Chantar, Mari L; Mato, José M; Martínez-Arranz, Ibon; La Mura, Vincenzo; Hernández-Gea, Virginia; Bosch, Jaume; García-Pagán, Juan C.
Afiliación
  • Reverter E; Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
  • Lozano JJ; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain.
  • Alonso C; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain.
  • Berzigotti A; OWL Metabolomics, Parque Tecnológico de Bizkaia, Bizkaia, Spain.
  • Seijo S; Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
  • Turon F; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain.
  • Baiges A; Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
  • Martínez-Chantar ML; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain.
  • Mato JM; Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
  • Martínez-Arranz I; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain.
  • La Mura V; Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
  • Hernández-Gea V; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain.
  • Bosch J; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain.
  • García-Pagán JC; CIC bioGUNE, Parque Tecnológico de Bizkaia, Bizkaia, Spain.
Liver Int ; 39(4): 705-713, 2019 04.
Article en En | MEDLINE | ID: mdl-30637923
ABSTRACT

BACKGROUND:

In cirrhosis, a decrease in hepatic venous pressure gradient (HVPG) > 10% after acute iv propranolol (HVPG response) is associated with a lower risk of decompensation and death. Only a part of patients are HVPG responders and there are no accurate non-invasive markers to identify them. We aimed at discovering metabolomic biomarkers of HVPG responders to propranolol.

METHODS:

Sixty-six patients with cirrhosis and HVPG ≥ 10 mm Hg in whom the acute HVPG response to propranolol was assessed, were prospectively included. A targeted metabolomic serum analysis using ultrahigh-performance liquid chromatography coupled to mass spectrometry was performed. Different combinations of 2-3 metabolites identifying HVPG responders (HVPG reduction > 10%) were obtained by stepwise logistic regression. The best of these model (AUROC, Akaike criterion) underwent internal cross-validation and cut-offs to classify responders/non-responders was proposed.

RESULTS:

A total of 41/66 (62%) patients were HVPG responders. Three hundred and eighty-nine metabolites were detected and 177 were finally eligible. Eighteen metabolites were associated to the HVPG response at univariate analysis; at multivariable analysis, a model including a phosphatidylcholine (PC(P-160/226)) and a free fatty acid (202(n-6), eicosadienoic acid) performed well for HVPG response, with an AUROC of 0.801 (0.761 at internal validation). The cut-off 0.629 was the most efficient for overall classification (49/66 patients correctly classified). Two cut-off values allowed identifying responders (0.688, PPV 84%) and non-responders (0.384, NPV 82%) with undetermined values for 17/66 patients. Clinical variables did not add to the model.

CONCLUSIONS:

The combination of two metabolites helps at identifying HVPG responders to acute propranolol. It could be a useful non-invasive test to classify the HVPG response to propranolol.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Propranolol / Antagonistas Adrenérgicos beta / Metabolómica / Hipertensión Portal / Cirrosis Hepática Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Liver Int Asunto de la revista: GASTROENTEROLOGIA Año: 2019 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Propranolol / Antagonistas Adrenérgicos beta / Metabolómica / Hipertensión Portal / Cirrosis Hepática Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Liver Int Asunto de la revista: GASTROENTEROLOGIA Año: 2019 Tipo del documento: Article País de afiliación: España