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原发性人肝细胞中乙型肝炎病毒感染时宿主因子网络的分析。

Analysis of host factor networks during hepatitis B virus infection in primary human hepatocytes.

机构信息

Department of Genomic Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.

Division of Chronic Viral Diseases, Center for Emerging Virus Research, Korea National Institute of Health, 187 Osongsaengmyeong 2-ro, Cheongju, 363951, Korea.

出版信息

Virol J. 2024 Aug 1;21(1):170. doi: 10.1186/s12985-024-02446-3.

Abstract

BACKGROUND

Chronic hepatitis B virus (HBV) infection affects around 250 million people worldwide, causing approximately 887,000 deaths annually, primarily owing to cirrhosis and hepatocellular carcinoma (HCC). The current approved treatments for chronic HBV infection, such as interferon and nucleos(t)ide analogs, have certain limitations as they cannot completely eradicate covalently closed circular DNA (cccDNA). Considering that HBV replication relies on host transcription factors, focusing on host factors in the HBV genome may provide insights into new therapeutic targets against HBV. Therefore, understanding the mechanisms underlying viral persistence and hepatocyte pathogenesis, along with the associated host factors, is crucial. In this study, we investigated novel therapeutic targets for HBV infection by identifying gene and pathway networks involved in HBV replication in primary human hepatocytes (PHHs). Importantly, our study utilized cultured primary hepatocytes, allowing transcriptomic profiling in a biologically relevant context and enabling the investigation of early HBV-mediated effects.

METHODS

PHHs were infected with HBV virion particles derived from HepAD38 cells at 80 HBV genome equivalents per cell (Geq/cell). For transcriptomic sequencing, PHHs were harvested 1, 2-, 3-, 5-, and 7 days post-infection (dpi). After preparing the libraries, clustering and sequencing were conducted to generate RNA-sequencing data. This data was processed using Bioinformatics tools and software to analyze DEGs and obtain statistically significant results. Furthermore, qRT-PCR was performed to validate the RNA-sequencing results, ensuring consistent findings.

RESULTS

We observed significant alterations in the expression patterns of 149 genes from days 1 to 7 following HBV infection (R > 0.7, q < 0.05). Functional analysis of these genes identified RNA-binding proteins involved in mRNA metabolism and the regulation of alternative splicing during HBV infection. Results from qRT-PCR experiments and the analysis of two validation datasets suggest that RBM14 and RPL28 may serve as potential biomarkers for HBV-associated HCC.

CONCLUSIONS

Transcriptome analysis of gene expression changes during HBV infection in PHHs provided valuable insights into chronic HBV infection. Additionally, understanding the functional involvement of host factor networks in the molecular mechanisms of HBV replication and transcription may facilitate the development of novel strategies for HBV treatment.

摘要

背景

慢性乙型肝炎病毒(HBV)感染影响全球约 2.5 亿人,每年导致约 88.7 万人死亡,主要归因于肝硬化和肝细胞癌(HCC)。目前批准的慢性 HBV 感染治疗方法,如干扰素和核苷(酸)类似物,具有一定的局限性,因为它们不能完全清除共价闭合环状 DNA(cccDNA)。考虑到 HBV 复制依赖于宿主转录因子,关注 HBV 基因组中的宿主因素可能为针对 HBV 的新治疗靶点提供思路。因此,了解病毒持续存在和肝细胞发病机制的机制,以及相关的宿主因素,至关重要。在这项研究中,我们通过鉴定参与原发性人肝细胞(PHH)中 HBV 复制的基因和途径网络,来研究 HBV 感染的新治疗靶点。重要的是,我们的研究利用培养的原代肝细胞进行,在生物学相关的背景下进行转录组谱分析,并能够研究早期 HBV 介导的效应。

方法

用 HepAD38 细胞来源的 HBV 病毒颗粒以每个细胞 80 个 HBV 基因组当量(Geq/cell)感染 PHH。用于转录组测序,在感染后 1、2、3、5 和 7 天收获 PHH。在准备文库后,进行聚类和测序以生成 RNA-seq 数据。使用生物信息学工具和软件处理此数据以分析差异表达基因并获得具有统计学意义的结果。此外,进行 qRT-PCR 以验证 RNA-seq 结果,确保结果一致。

结果

在 HBV 感染后第 1 至 7 天,我们观察到 149 个基因的表达模式发生了显著改变(R > 0.7,q < 0.05)。对这些基因的功能分析发现,在 HBV 感染过程中涉及 mRNA 代谢和可变剪接调控的 RNA 结合蛋白。qRT-PCR 实验和两个验证数据集的分析结果表明,RBM14 和 RPL28 可能作为 HBV 相关 HCC 的潜在生物标志物。

结论

PHH 中 HBV 感染时基因表达变化的转录组分析为慢性 HBV 感染提供了有价值的见解。此外,了解宿主因子网络在 HBV 复制和转录分子机制中的功能参与可能有助于开发新的 HBV 治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8106/11295519/ea75eaf7c8d7/12985_2024_2446_Fig1_HTML.jpg

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