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Baseline metabolites could predict responders with hepatitis B virus-related liver fibrosis for entecavir or combined with FuzhengHuayu tablet

BACKGROUND: After receiving entecavir or combined with FuzhengHuayu tablet (FZHY) treatment, some sufferers with hepatitis B virus (HBV)-related liver fibrosis could achieve a histological improvement while the others may fail to improve even worsen. Serum metabolomics at baseline in these patients...

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Detalles Bibliográficos
Autores principales: Dai, Yun-Kai, Fan, Hai-Na, Huang, Kai, Sun, Xin, Zhao, Zhi-Min, Liu, Cheng-Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600694/
https://www.ncbi.nlm.nih.gov/pubmed/37900214
http://dx.doi.org/10.4254/wjh.v15.i9.1043
Descripción
Sumario:BACKGROUND: After receiving entecavir or combined with FuzhengHuayu tablet (FZHY) treatment, some sufferers with hepatitis B virus (HBV)-related liver fibrosis could achieve a histological improvement while the others may fail to improve even worsen. Serum metabolomics at baseline in these patients who were effective in treatment remain unclear. AIM: To explore baseline serum metabolites characteristics in responders. METHODS: A total of 132 patients with HBV-related liver fibrosis and 18 volunteers as healthy controls were recruited. First, all subjects were divided into training set and validation set. Second, the included patients were subdivided into entecavir responders (E-R), entecavir no-responders (E-N), FZHY + entecavir responders (F-R), and FZHY + entecavir no-responders (F-N) following the pathological histological changes after 48 wk’ treatments. Then, Serum samples of all subjects before treatment were tested by high performance liquid chromatography-tandem mass spectrometry (LC-MS) high-performance LC-MS. Data processing was conducted using multivariate principal component analysis and orthogonal partial least squares discriminant analysis. Diagnostic tests of selected differential metabolites were used for Boruta analyses and logistic regression. RESULTS: As for the intersection about differential metabolic pathways between the groups E-R vs E-N and F-R vs F-N, results showed that 4 pathways including linoleic acid metabolism, aminoacyl-tRNA biosynthesis, cyanoamino acid metabolism, alanine, aspartate and glutamate metabolism were screened out. As for the differential metabolites, these 7 intersected metabolites including hydroxypropionic acid, tyrosine, citric acid, taurochenodeoxycholic acid, benzoic acid, 2-Furoic acid, and propionic acid were selected. CONCLUSION: Our findings showed that 4 metabolic pathways and 7 differential metabolites had potential usefulness in clinical prediction of the response of entecavir or combined with FZHY on HBV fibrotic liver.