2017
DOI: 10.3389/fphys.2017.01009
|View full text |Cite
|
Sign up to set email alerts
|

Discovery of a Potential Plasma Protein Biomarker Panel for Acute-on-Chronic Liver Failure Induced by Hepatitis B Virus

Abstract: Hepatitis B virus (HBV)-associated acute-on-chronic liver failure (HBV-ACLF), characterized by an acute deterioration of liver function in the patients with chronic hepatitis B (CHB), is lack of predicting biomarkers for prognosis. Plasma is an ideal sample for biomarker discovery due to inexpensive and minimally invasive sampling and good reproducibility. In this study, immuno-depletion of high-abundance plasma proteins followed by iTRAQ-based quantitative proteomic approach was employed to analyze plasma sam… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
22
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 25 publications
(24 citation statements)
references
References 67 publications
2
22
0
Order By: Relevance
“…8). The broad range of affected pathways is similar to proteomic surveys of acute-on-chronic liver failure, which causes sweeping changes in the plasma proteome 24,25 and an in vitro model of mycotoxin-induced hepatocyte toxicity that found non-housekeeping pathway proteins to be affected most 26 .…”
Section: Discussionmentioning
confidence: 61%
“…8). The broad range of affected pathways is similar to proteomic surveys of acute-on-chronic liver failure, which causes sweeping changes in the plasma proteome 24,25 and an in vitro model of mycotoxin-induced hepatocyte toxicity that found non-housekeeping pathway proteins to be affected most 26 .…”
Section: Discussionmentioning
confidence: 61%
“…Of those, 2,234 were quantified across all of the 25 samples, indicating that each protein generated expression information for different treatment statuses (Table S1 ). We also performed t -test analysis between any two groups to identify differentially expressed proteins that were potential targets of Andro-S. To determine potential targets of Andro-S, we filtered proteins according to the following four criteria (Smith et al, 2015 ; Xia et al, 2017 ; Zhang et al, 2017 ; Zhou et al, 2017 ): (1) significant over- or under-expression in the model group relative to the control group (Student's t -test P < 0.05); (2) significant over- or under-expression in high-dose treatment group compared with the model group (Student's t -test P < 0.05); (3) no significant changes in expression levels in the control group compared to the blank (Student's t -test P > 0.05) and (4) model group vs. control group or high-dose treatment group vs. model group (one-way analysis of variance (ANOVA) followed by Tukey test correction P < 0.05). A total of 31 proteins were identified as potential differentially expressed proteins based on these criteria (Table 2 ).…”
Section: Resultsmentioning
confidence: 99%
“…A few studies utilized proteomic approaches to identify biomarkers for HBV-ACLF (15)(16)(17). However, these studies were conducted with small sample sizes, and, consequently, the results were inconclusive.…”
Section: Discussionmentioning
confidence: 99%