Screening and molecular docking verification of feature genes related to phospholipid metabolism in hepatocarcinoma caused by hepatitis B.

IF 3.9 2区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Lipids in Health and Disease Pub Date : 2024-08-24 DOI:10.1186/s12944-024-02253-3
Jian Zhang, Fengmei Zhang, Lei Zhang, Meiling Zhang, Shuye Liu, Ying Ma
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Abstract

Background: The progression of tumours is related to abnormal phospholipid metabolism. This study is anticipated to present a fresh perspective for disease therapy targets of hepatocarcinoma caused by hepatitis B virus in the future by screening feature genes related to phospholipid metabolism.

Methods: This study analysed GSE121248 to pinpoint differentially expressed genes (DEGs). By examining the overlap between the metabolism-related genes and DEGs, the research focused on the genes involved in phospholipid metabolism. To find feature genes, functional enrichment studies were carried out and a network diagram was proposed. These findings were validated via data base of The Cancer Genome Atlas (TCGA). Further analyses included immune infiltration studies and metabolomics. Finally, the relationships between differentially abundant metabolites and feature genes were confirmed by molecular docking, providing a thorough comprehension of the molecular mechanisms.

Results: The seven genes with the highest degree of connection (PTGS2, IGF1, SPP1, BCHE, NR1I2, NAMPT, and FABP1) were identified as feature genes. In the TCGA database, the seven feature genes also had certain diagnostic efficiency. Immune infiltration analysis revealed that feature genes regulate the infiltration of various immune cells. Metabolomics successfully identified the different metabolites of the phospholipid metabolism pathway between patients and normal individuals. The docking study indicated that different metabolites may play essential roles in causing disease by targeting feature genes.

Conclusions: In this study, for the first time, it reveals the possible involvement of genes linked to phospholipid metabolism-related genes using bioinformatics analysis. Identifying genes and probable therapeutic targets could provide clues for the further treatment of disease.

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乙型肝炎肝癌磷脂代谢相关特征基因的筛选与分子对接验证
背景:肿瘤的进展与磷脂代谢异常有关。本研究通过筛选与磷脂代谢相关的特征基因,为未来乙型肝炎病毒引起的肝癌的疾病治疗目标提供新的视角:本研究分析了 GSE121248,以确定差异表达基因(DEGs)。通过研究新陈代谢相关基因与 DEGs 之间的重叠,研究重点放在了参与磷脂代谢的基因上。为了找到特征基因,研究人员进行了功能富集研究,并提出了网络图。这些发现通过癌症基因组图谱(TCGA)数据库得到了验证。进一步的分析包括免疫浸润研究和代谢组学。最后,通过分子对接确认了差异丰度代谢物与特征基因之间的关系,从而深入理解了分子机制:结果:7个关联度最高的基因(PTGS2、IGF1、SPP1、BCHE、NR1I2、NAMPT和FABP1)被确定为特征基因。在TCGA数据库中,这七个特征基因也具有一定的诊断效率。免疫浸润分析表明,特征基因调控着各种免疫细胞的浸润。代谢组学成功鉴定了患者和正常人磷脂代谢途径中的不同代谢物。对接研究表明,不同的代谢物可能通过靶向特征基因在致病过程中发挥重要作用:本研究首次利用生物信息学分析揭示了磷脂代谢相关基因可能参与的情况。确定基因和可能的治疗靶点可为进一步治疗疾病提供线索。
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来源期刊
Lipids in Health and Disease
Lipids in Health and Disease 生物-生化与分子生物学
CiteScore
7.70
自引率
2.20%
发文量
122
审稿时长
3-8 weeks
期刊介绍: Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds. Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.
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