ArticleJournal of inflammation research2025
A Clinical Predictive Model Based on SOCS3 Promoter Methylation to Predict the Prognosis of Acute-on-Chronic Hepatitis B Liver Failure.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Article
- ANXA3 hypomethylation as a prognostic biomarker in hepatitis B virus-related acute-on-chronic liver failure.Annals of medicine · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The study aimed to quantitatively detect the suppressors of cytokine signaling (SOCS) 3 promoter methylation levels, investigate the relationship between SOCS3 methylation and gene expression, and construct a prognosis prediction model combined with clinical indicators for Acute-on-chronic Hepatitis B Liver Failure (ACHBLF). Methods: A total of 135 ACHBLF patients were enrolled and randomly divided into the training cohort and validation cohort. The SOCS3 mRNA and promoter methylation in peripheral blood mononuclear cells (PBMCs) of ACHBLF patients were quantitative measured. A clinical prediction model was established based on SOCS3 promoter methylation and clinical indicators. The prediction model was evaluated by the area under the receiver operating characteristic curve, the Hosmer-Lemeshow (H-L) goodness-of-fit test, and decision curve analysis. Results: In this study, compared with ACHBLF survivals, SOCS3 showed lower mRNA levels and higher methylation levels in ACHBLF non-survivals. The SOCS3 methylation rates were negatively correlated with SOCS3 mRNA levels. PT-INR, IL-6, and percentage of the methylation reference (PMR) value (SOCS3) were used to establish a clinical model for predicting ACHBLF patients' prognosis. The results of AUC, the Hosmer-Lemeshow (H-L) goodness-of-fit test and decision curve analysis (DCA) showed that the prediction model had good clinical applicability. The prediction model was visualized. Conclusion: A prognosis prediction model for ACHBLF was developed based on PMR (SOCS3), PT-INR and IL-6, which may have a good potential clinical application value.
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Registered trials
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