2017
DOI: 10.1007/s10238-017-0466-1
|View full text |Cite
|
Sign up to set email alerts
|

Aberrant GSTP1 promoter methylation predicts poor prognosis of acute-on-chronic hepatitis B pre-liver failure

Abstract: It has been demonstrated that glutathione-S-transferase P1 (GSTP1) could protect cells from DNA damage mediated by oxidizing agents or electrophiles in hepatic inflammatory response. Our study evaluated the methylation status and the predictive value for prognosis of GSTP1 promoter region in patients with acute-on-chronic hepatitis B pre-liver failure (pre-ACHBLF). Methylation status of GSTP1 promoter in peripheral blood mononuclear cells (PBMCs) and plasma was measured in 103 patients with pre-ACHBLF, 80 pati… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
4
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 15 publications
(6 citation statements)
references
References 46 publications
1
4
0
Order By: Relevance
“…Studies on the methylation status of the promoter region of glutathione S‐transferase P1 (GSTP1) and the prognosis of patients with chronic‐onset acute hepatitis B liver failure found that the frequency of methylation of the promoter region of GSTP1 in patients with chronic hepatitis B (CHB) liver failure was significantly higher than CHB, and the messenger RNA level of GSTPI is significantly lower than that of CHB. Abnormal methylation of GSTP1 is likely to be a prognostic biomarker of chronic acute liver failure 28 . In addition, we observed a phenomenon.…”
Section: Discussionsupporting
confidence: 52%
See 1 more Smart Citation
“…Studies on the methylation status of the promoter region of glutathione S‐transferase P1 (GSTP1) and the prognosis of patients with chronic‐onset acute hepatitis B liver failure found that the frequency of methylation of the promoter region of GSTP1 in patients with chronic hepatitis B (CHB) liver failure was significantly higher than CHB, and the messenger RNA level of GSTPI is significantly lower than that of CHB. Abnormal methylation of GSTP1 is likely to be a prognostic biomarker of chronic acute liver failure 28 . In addition, we observed a phenomenon.…”
Section: Discussionsupporting
confidence: 52%
“…Abnormal methylation of GSTP1 is likely to be a prognostic biomarker of chronic acute liver failure. 28 In addition, we observed a phenomenon. The regulation of the HIF-1α signalling pathway is not only reflected in liver diseases but also in cardiovascular and cerebrovascular diseases, such as ischaemic stroke.…”
Section: Discussionmentioning
confidence: 65%
“…[15][16][17] Our previous studies showed that the glutathione-S-transferase P1 (GSTP1) gene was aberrant methylated in Pre-ACHBLF. [18] Whether the methylation of the UBE2Q1 promoter is altered during the development of pre-ACHBLF is still unclear.…”
Section: Observational Studymentioning
confidence: 99%
“…Abnormal DNA methylation expression was also indentified in peripheral blood mononuclear cells in patients with ACHBLF [15–17] . Our previous studies showed that the glutathione-S-transferase P1 ( GSTP1 ) gene was aberrant methylated in Pre-ACHBLF [18] . Whether the methylation of the UBE2Q1 promoter is altered during the development of pre-ACHBLF is still unclear.…”
Section: Introductionmentioning
confidence: 99%
“…However, uniform criteria for predicting ACLF occurrence are lacking and patients who are truly at the risk of ACLF are still ill-defined. There are currently several models to evaluate the severity and prognosis of patients with severe liver disease, including the Child-Turcotte-Pugh (CTP) scoring system, the model for end-stage liver disease (MELD), the sequential organ failure assessment score (SOFA), and other predictive models, but none of them have been universally accepted for predict accurate incidence of ACLF (13)(14)(15). First, majority scoring systems were originally applied for the evaluation of liver disease severity to predict the outcome of patients.…”
Section: Introductionmentioning
confidence: 99%