Search PubMedSearch

PubMed · 42695456

ICAM-1 Hypomethylation Predicts Poor Prognosis in Patients With Hepatitis B Virus-Related Acute-on-Chronic Liver Failure.

Abstract

Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is associated with a high short-term mortality rate. Therefore, early and accurate prognostic prediction is crucial for precise clinical management. This study aims to investigate the expression patterns of intercellular adhesion molecule-1 (ICAM-1) and its predictive value for the short-term prognosis of patients with HBV-ACLF. The Methylight method was used to quantitatively detect ICAM-1 promoter methylation level in peripheral blood mononuclear cells (PMBCs) of 286 participants. Meanwhile, the mRNA and plasma expression levels of ICAM-1 were determined using RT-qPCR and ELISA, respectively. The ICAM-1 promoter methylation levels in PBMCs of HBV-ACLF patients were significantly lower than those in chronic hepatitis B (CHB) patients and healthy controls (HCs), whereas the mRNA and plasma expression levels of ICAM-1 were markedly elevated. The ICAM-1 methylation levels in HBV-ACLF patients correlated with specific clinical parameters. Among HBV-ACLF patients, ICAM-1 methylation levels were significantly lower in the non-survivor groups at both 28 and 90 days. The study further revealed that ICAM-1 methylation level serves as an independent influencing factor for the prognosis of HBV-ACLF patients at 28 and 90 days. Based on ROC curve and Kaplan-Meier curves, ICAM-1 methylation levels demonstrated excellent performance in predicting 28- and 90-day mortality in patients with HBV-ACLF. In conclusion, patients with HBV-ACLF exhibit hypomethylation of the ICAM-1 promoter. The combination of ICAM-1 promoter methylation level and MELD score can effectively enhance the predictive ability for the short-term prognosis of HBV-ACLF patients.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Miao-Miao Xu, Yun-Xin Yao, Hui Lyu, Yu Qian, Zhe-Zhe Tian, Yu-Chen Fan, Kai Wang. 2026. ICAM-1 Hypomethylation Predicts Poor Prognosis in Patients With Hepatitis B Virus-Related Acute-on-Chronic Liver Failure.. https://doi.org/10.1002/jmv.71118

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans