CCL

Összesen 1 találat.
#/oldal:
Részletezés:
Rendezés:

1.

001-es BibID:BIBFORM107811
035-os BibID:(Scopus)85160261108 (WoS)000941419200001
Első szerző:Weiss, Emmanuel
Cím:Sympathetic nervous activation, mitochondrial dysfunction, and outcome in acutely decompensated cirrhosis : the metabolomic prognostic models (CLIF-C MET) / Emmanuel Weiss, Carlos De La PeNa-Ramirez, Ferran Aguilar, Juan-José Lozano, Cristina Sánchez, Patricia Sierra, Pedro Izquierdo-Bueno, Juan Manuel Diaz, FranCois Fenaille, Florence Castelli, Thierry Gustot, Wim Laleman, Agustín Albillos, Carlo Alessandria, Marco Domenicali, Paolo Caraceni, Salvatore Piano, Faouzi Saliba, Stefan Zeuzem, Alexander Gerbes, Julia Wendom, Christian Jansen, Wenyi Gu, Maria Papp, Rajeshwar P. Mookerjee, Carmine Gambino, Cesar Jiménez, Ilaria Giovo, Giacomo Zaccherini, Manuela Merli, Antonella Putignano, Frank Erhard Uschner, Thomas Berg, Tony Bruns, Christian Trautwein, Alexander Zipprich, Rafael BaNares, José Presa, Joan Genesca, Victor Vargas, Javier Fernández, Mauro Bernardi, Paolo Angeli, Rajiv Jalan, Joan Claria, Christophe Junot, Richard Moreau, Jonel Trebicka, Vicente Arroyo, Canonic And Predict 22 Study Investigators
Dátum:2023
ISSN:0017-5749
Megjegyzések:ABSTRACT BACKGROUND AND AIMS. Current prognostic scores of patients with acutely decompensated cirrhosis (AD), particularly those with ACLF, underestimate the risk of mortality. This is probably because systemic inflammation (SI), the major driver of AD/ACLF, is not reflected in the scores. SI induces metabolic changes which impair delivery of the necessary energy for the immune reaction. This investigation aimed to identify metabolites associated with short-term (28-day) death and to design metabolomic prognostic models. METHODS. Two prospective multi-center large cohorts from Europe for investigating ACLF and development of ACLF, CANONIC (discovery, n=831) and PREDICT validation, n=851) were explored by untargeted serum metabolomics to identify and validate metabolites which could allow improved prognostic modelling. RESULTS. Three prognostic metabolites strongly associated with death were selected to build the models. 4-hydroxy-3-methoxyphenylglycol sulphate is a norepinephrine derivate, which may derive from the brainstem response to systemic inflammation. Additionally, galacturonic acid and hexanoylcarnitine are associated with mitochondrial dysfunction. Model 1 included only these three prognostic metabolites and age. Model 2 was built around 4-hydroxy-3-methoxyphenylglycol sulphate, hexanoylcarnitine, bilirubin, INR, and age. In the discovery cohort, both models were more accurate in predicting death within 7, 14 and 28 days after admission compared to MELDNa score (C-index: 0.9267, 0.9002 and 0.8424, and 0.9369, 0.9206 and 0.8529, with model 1 and model 2, respectively). Similar results were found in the validation cohort (C-index: 0.9399, 0.8339 and 0.7912, and 0.9471, 0.8566 and 0.8101, with model 1 and model 2, respectively). Also, in ACLF, model 1 and model 2 outperformed MELDNa after 7, 14 25 and 28 days after admission for prediction of mortality.CONCLUSIONS. Models including metabolites (CLIF-C MET) reflecting SI, mitochondrial dysfunction and sympathetic system activation are better predictors of short-term mortality than scores based only on organ dysfunction (e.g., MELDNa), especially in patients with ACLF.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Gut. - 72 : 8 (2023), p. 1581-1591. -
További szerzők:de la Pena-Ramirez, Carlos Aguilar, Ferran Lozano, Juan-José Sánchez, Cristina Sierra, Patricia Izquierdo-Bueno, Pedro Diaz, Juan Manuel Fenaille, Francois Castelli, Florence Gustot, Thierry Laleman, Wim Albillos, Agustin Alessandria, Carlo Domenicali, Marco Caraceni, Paolo Piano, Salvatore Saliba, Faouzi Zeuzem, Stefan Gerbes, Alexander Wendom, Julia Jansen, Christian Gu, Wenyi Papp Mária (1975-) (belgyógyász, gasztroenterológus) Mookerjee, Rajeshwar P. Gambino, Carmine Jimenez, Cesar Giovo, Ilaria Zaccherini, Giacomo Merli, Manuela Putignano, Antonella Uschner, Frank Erhard Berg, Thomas Bruns, Tony Trautwein, Christian Zipprich, Alexander Bañares, Rafael Presa, José Genesca, Joan Vargas, Victor Fernández, Javier Bernardi, Mauro Angeli, Paolo Jalan, Rajiv Claria, Joan Junot, Christophe Moreau, Richard Trebica, Jonel Arroyo, Vicente CANONIC and PREDICT 22 study investigators
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Rekordok letöltése1