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通过生物信息学分析探索关键介质 IKBKE 和 HSPA1A 在阿尔茨海默病和肝细胞癌中的作用。

Exploring the Roles of Key Mediators IKBKE and HSPA1A in Alzheimer's Disease and Hepatocellular Carcinoma through Bioinformatics Analysis.

机构信息

Department of Pharmacology, The Key Laboratory of Neural and Vascular Biology, Ministry of Education, The Key Laboratory of New Drug Pharmacology and Toxicology, Collaborative Innovation Center of Hebei Province for Mechanism, Diagnosis and Treatment of Neuropsychiatric Diseases, Hebei Medical University, Shijiazhuang 050017, China.

出版信息

Int J Mol Sci. 2024 Jun 25;25(13):6934. doi: 10.3390/ijms25136934.

DOI:10.3390/ijms25136934
PMID:39000042
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11241202/
Abstract

Recent studies have hinted at a potential link between Alzheimer's Disease (AD) and cancer. Thus, our study focused on finding genes common to AD and Liver Hepatocellular Carcinoma (LIHC), assessing their promise as diagnostic indicators and guiding future treatment approaches for both conditions. Our research utilized a broad methodology, including differential gene expression analysis, Weighted Gene Co-expression Network Analysis (WGCNA), gene enrichment analysis, Receiver Operating Characteristic (ROC) curves, and Kaplan-Meier plots, supplemented with immunohistochemistry data from the Human Protein Atlas (HPA) and machine learning techniques, to identify critical genes and significant pathways shared between AD and LIHC. Through differential gene expression analysis, WGCNA, and machine learning methods, we identified nine key genes associated with AD, which served as entry points for LIHC analysis. Subsequent analyses revealed and as shared pivotal genes in patients with AD and LIHC, suggesting these genes as potential targets for intervention in both conditions. Our study indicates that and could influence the onset and progression of AD and LIHC by modulating the infiltration levels of immune cells. This lays a foundation for future research into targeted therapies based on their shared mechanisms.

摘要

最近的研究表明,阿尔茨海默病(AD)和癌症之间可能存在潜在联系。因此,我们的研究集中在寻找 AD 和肝肝细胞癌(LIHC)共有的基因,评估它们作为诊断指标的潜力,并为这两种疾病指导未来的治疗方法。我们的研究采用了广泛的方法,包括差异基因表达分析、加权基因共表达网络分析(WGCNA)、基因富集分析、接收者操作特征(ROC)曲线和 Kaplan-Meier 图,并结合来自人类蛋白质图谱(HPA)的免疫组织化学数据和机器学习技术,以识别 AD 和 LIHC 之间共享的关键基因和重要途径。通过差异基因表达分析、WGCNA 和机器学习方法,我们确定了与 AD 相关的九个关键基因,这些基因是 LIHC 分析的切入点。随后的分析显示,和在 AD 和 LIHC 患者中是共同的关键基因,表明这些基因可能是两种疾病干预的潜在靶点。我们的研究表明,和可以通过调节免疫细胞的浸润水平来影响 AD 和 LIHC 的发生和发展。这为基于其共同机制的靶向治疗的未来研究奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7872/11241202/2fb2f9368303/ijms-25-06934-g010.jpg
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