| Literature DB >> 28336726 |
Jie Wang1, Zeyu Sun1, Jing Jiang1, Daxian Wu1, Xiaoli Liu1, Zhongyang Xie1, Ermei Chen1, Danhua Zhu1, Chao Ye1, Xiaoqian Zhang1, Wenqian Chen1, Hongcui Cao1, Lanjuan Li2.
Abstract
Acute liver failure (ALF) is a fatal condition hallmarked by rapid development. The present study aimed to describe the dynamic alterations of serum proteins associated with ALF development, and to seek for novel biomarkers of ALF. Miniature pigs (n = 38) were employed to establish ALF models by infusing d-galactosamine (GALN, 1.3 g/kg). A total of 1310 serum proteins were compared in pooled serum samples (n = 10) before and 36 h after GALN administration through label-free quantitation (LFQ) based shotgun proteomics. Functional analysis suggested a significant enrichment of ALF-related proteins involved in energy metabolism. Temporal changes of 20 energy metabolism related proteins were investigated in individual pigs (n = 8) via parallel reaction monitoring (PRM) based targeted proteomics. In addition, mitochondrion degeneration and gene expression alteration of aerobic metabolism genes were confirmed in GALN-insulted pig liver. In clinical validation study enrolled 34 ALF patients and 40 healthy controls, fructose-1,6-bisphosphatase 1 (FBP1) showed a prognostic value for short-term survival (30 days) equal to that of the Model of End-stage Liver Disease score (ROC-AUC = 0.778). Survival analysis suggested significantly higher death-related hazard in ALF patients with higher FBP1 levels (>16.89 μg/dL) than in those with lower FBP1 levels (p = 0.002). Additionally, serum retinol binding protein 4 (RBP4) level was found decreased prior to ALT elevation in GALN-insulted pig model. We also confirmed that serum level of RBP4 is significantly lower in ALF patients (p < 0.001) as compared with healthy controls. In summary, this translational study, displayed by multistaged proteomics techniques, unveiled underlying functional changes related to the development of ALF and facilitated the discovery of novel ALF markers.Entities:
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Year: 2017 PMID: 28336726 PMCID: PMC5500754 DOI: 10.1074/mcp.M117.067397
Source DB: PubMed Journal: Mol Cell Proteomics ISSN: 1535-9476 Impact factor: 5.911