PubMed Health⌕ Search

PubMed · 8905122

Immunogenetics in liver disease.

Abstract

Recent advances in molecular biology, in particular X-ray crystallography of the purified antigens A2 and DR1 and development of PCR-based HLA genotyping techniques, has revolutionized our understanding of immunogenetics and cellular immunology. The application of molecular immunogenetics has refined our understanding of HLA-encoded susceptibility and resistance to both autoimmune and chronic viral liver disease. Recent studies of autoimmune hepatitis (AIH), primary sclerosing cholangitis (PSC) and primary biliary cirrhosis (PBC) have identified substitutions of specific amino acid residues in the HLA DR beta-polypeptide (AIH and PSC) and DP beta-polypeptide (PBC) which may determine susceptibility to and resistance from disease. Although these models of HLA-encoded susceptibility in PSC and PBC are currently controversial, the model for AIH, based on lysine residue at DR beta 71 has recently been confirmed in an independent series. Data on chronic viral liver disease are less abundant, but a number of interesting observations are beginning to emerge. In the Gambia, resistance to chronic hepatitis B infection has been associated with the HLA DRB1*1302 allele, and in studies of patients with chronic hepatitis C virus infection DQA1*03 and DQB1*05 have been identified as a possible protective factors. Clarifying these HLA associations is not simply an academic pursuit; in addition to providing useful clues to the pathogenesis of these diseases, HLA associations may be important indicators of prognosis. In AIH, patients with the DRB1*0301-DRB3*0101 haplotype appear to have more severe disease than those with DRB1*0401, while in PSC, DRB3*0101 is associated with early onset of disease and DRB1*0401 may be a marker of more rapid disease progression. To date, our knowledge of immunogenetic susceptibility in liver disease is incomplete and further work is needed.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

P T Donaldson. 1996. Immunogenetics in liver disease.. https://doi.org/10.1016/s0950-3528(96)90056-1

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↗