In:
Hepatology Research, Wiley, Vol. 51, No. 4 ( 2021-04), p. 490-502
Abstract:
The aim of this study was to use a metabonomics approach to identify potential biomarkers of exhaled breath condensate (EBC) for predicting the prognosis of acute‐on‐chronic liver failure (ACLF). Methods Using liquid chromatography mass spectrometry, EBC metabolites of ACLF patients surviving without liver transplantation ( n = 57) and those with worse outcomes ( n = 45), and controls ( n = 15) were profiled from a specialized liver disease center in Beijing. The metabolites were used to identify candidate biomarkers, and the predicted performance of potential biomarkers was tested. Results Forty‐one metabolites, involving glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, and amino acid metabolism, as candidate biomarkers for discriminating the different outcomes of ACLF were selected. A prognostic model was constructed by a panel of four metabolites including phosphatidylinositol [20:4(5Z,8Z,11Z,14Z)/13:0], phosphatidyl ethanolamine (12:0/22:0), L‐metanephrine and ethylbenzene, which could predict the worse prognosis in ACLF patients with sensitivity (84.4%) and specificity (89.5%) (area under the receiver operating characteristic curve [AUC] = 0.859, 95% confidence interval [CI] = 0.787–0.931). Compared with Model for End‐Stage Liver Disease (MELD) score (AUC = 0.639, 95% CI = 0.526–0.753) and MELD‐sodium (MELD‐Na) score (AUC = 0.692, 95% CI = 0.582–0.803), EBC‐associated metabolite signature model could better predict worse outcomes in patients with ACLF ( p 〈 0.05). Using the MELD‐Na score and EBC metabolite signatures, a decision tree model was built for predicting the prognosis of ACLF identified on logistic regression analyses (AUC = 0.906, 95% CI = 0.846–0.965). Conclusion EBC metabolic signatures show promise as potential biomarkers for predicting worse prognosis of ACLF.
Type of Medium:
Online Resource
ISSN:
1386-6346
,
1872-034X
Language:
English
Publisher:
Wiley
Publication Date:
2021
detail.hit.zdb_id:
2006439-1
detail.hit.zdb_id:
1387041-5
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