基于脂质代谢的糖尿病病中关键基因的鉴定
Meng Yang1, Jian Wang1, Hu Meng1
1Department of Nephrology, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan 650032, P.R. China.
Experimental and therapeutic medicine
|September 13, 2024
概括
这项研究确定SAMD8和CYP51A1是参与糖尿病病 (DN) 的关键脂质代谢基因. 这些基因可以通过突出改变的脂质代谢途径和免疫细胞相关性来帮助诊断和治疗DN.
科学领域:
- 基因组学和生物信息学
- 代谢疾病 代谢疾病
- 分子生物学分子生物学
背景情况:
- 糖尿病病 (DN) 是糖尿病的严重并发症,以微血管损伤为特征.
- 脂质代谢的干扰与DNA的进展密切相关.
- 识别参与脂质代谢的关键基因对于理解DN病变发生和开发诊断标志物至关重要.
研究的目的:
- 确定与糖尿病病 (DN) 相关的新型脂质代谢相关的枢纽基因.
- 探索这些基因在DNA中的潜在诊断价值.
- 调查已识别的基因,免疫细胞透和DN之间的关系.
主要方法:
- 来自DN和健康样本的基因表达特征数据 (GSE142153) 的分析.
- 鉴定差异表达基因 (DEGs) 和与脂质代谢相关的基因.
- 权重基因同表达网络分析 (WGCNA) 以确定关键模块.
- 温图,蛋白质-蛋白质相互作用 (PPI) 网络构建,基因本体学 (GO) 和基因和基因组 (KEGG) 丰富分析的京都百科全书.
- 机器学习算法用于识别枢纽基因 (SAMD8,CYP51A1).
- 基因组丰富分析 (GSEA) 用于功能丰富.
- 免疫透分析和相关性评估.
- 使用逆转录量化 (RT-qPCR) 验证关键基因表达.
主要成果:
- 在DN和健康样本之间确定了1,445个DEG.
- 在特定模块中,WGCNA确定了694个DN相关基因.
- 确定了17个与脂质代谢相关的基因,与脂和胆固醇生物合成途径相关.
- 通过机器学习,SAMD8和CYP51A1被确定为关键的枢纽基因.
- GSEA揭示了SAMD8和CYP51A1.1.的"线粒体矩阵"和"GTPase活性"的丰富.
- 免疫透分析显示了九种免疫细胞类型的差异表达;SAMD8和CYP51A1与激活的B细胞和效应记忆CD8T细胞相关联.
- 通过RT-qPCR检测证实了DN中SAMD8和CYP51A1的高表达.
结论:
- 与脂质代谢相关的基因SAMD8和CYP51A1在糖尿病病变 (DN) 的发病过程中发挥着重要作用.
- 这些基因显示出作为DN诊断的生物标志物的潜力.
- 这些发现为了解脂质代谢在DN中的作用和开发向治疗提供了基础.
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