在糖尿病病中对免疫相关生物标志物和免疫微环境进行全面分析和实验验证
Weini Zhou1, Ziyang Zeng2, Xunjia Li3,4,5
1Department of Endocrinology, The People's Hospital of Chongqing Liang Jiang New Area, The Affiliated Liang Jiang Hospital of Chongqing Medical University, Chongqing, 401121, People's Republic of China.
Journal of inflammation research
|October 9, 2025
概括
糖尿病病 (DN) 诊断可以使用免疫相关基因 (IRG) 来改善. 研究人员确定了三个关键的IRG (CCL9,EDN1,HSPA1L) 作为早期DN检测和管理的潜在生物标志物.
科学领域:
- 免疫学 免疫学 免疫学
- 遗传学 是一个遗传学.
- 腎臟病學 (nephrology) 是一種醫學專業.
背景情况:
- 糖尿病病 (DN) 的分子机制仍然不完全理解.
- 免疫系统失调越来越被认为是DN进展的关键因素.
- 鉴定DN诊断的免疫相关基因 (IRG) 具有显著的临床潜力.
研究的目的:
- 确定新的免疫相关基因 (IRG) 作为糖尿病病 (DN) 的诊断生物标志物.
- 建立基于已识别的IRG的DN诊断模型.
- 为了验证在体外和体内选择的IRG的表达和诊断潜力.
主要方法:
- 权重基因同表达网络分析 (WGCNA) 应用于DN患者的基因表达数据.
- 使用LASSO和递归特征消除 (RF) 算法识别重叠的IRG.
- 用于诊断能力评估的诺莫格拉姆模型构造,通过qRT-PCR和T2DM小鼠模型验证.
主要成果:
- 三个关键的IRG,CCL9,EDN1和HSPA1L被确定为DN的潜在诊断生物标志物.
- 诺莫格拉姆模型证实了这些生物标志物的诊断能力.
- 已识别的IRG的差异表达在细胞系和T2DM小鼠模型中得到验证.
结论:
- CCL9,EDN1和HSPA1L被提名为DN进展和潜在诊断生物标志物的关键媒介.
- 这些IRG为早期DN诊断提供了精准医学工具的基础.
- 需要进一步的临床验证才能转化为患者管理策略.
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