开发和验证早期预警模型,用于糖尿病 - 结核病并发症
Zhaoyang Ye1,2,3, Guangliang Bai4, Ling Yang2
1Institute of Tuberculosis, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing 100091, China.
Microorganisms
|April 26, 2025
概括
这项研究确定了三个关键的免疫生物标志物CETP,TYROBP和SECTM1用于早期预测糖尿病 (DM) 和结核病 (TB) 共感染 (DM-TB). 一个经过验证的风险模型有助于对这一复杂的全球健康挑战进行早期查.
科学领域:
- 免疫学 免疫学 免疫学
- 基因组学就是基因组学.
- 计算生物学 计算生物学
背景情况:
- 糖尿病 (DM) 增加了对结核病 (TB) 的易感性,造成了重大的全球健康负担 (DM-TB).
- 目前缺乏对DM-TB的早期风险预测,这阻碍了及时干预和管理.
- 确定强大的生物标志物对于开发有效的查策略至关重要.
研究的目的:
- 确定与免疫相关的生物标志物,用于早期预测糖尿病和结核病 (DM-TB) 患者的风险.
- 使用已识别的生物标志物构建和验证DM-TB的预测模型.
- 分析DM-TB患者的免疫状态和潜在的致病机制.
主要方法:
- 从GEO数据库 (GSE181143,GSE114192) 挖掘DM-TB患者的转录组数据.
- 差异基因表达分析,权重基因共同表达网络分析 (WGCNA) 和机器学习算法.
- 使用前性队列研究,RT-qPCR,免疫透的CIBERSORT和KEGG通路分析进行验证.
主要成果:
- 鉴定了与DM-TB相关的1090个差异表达基因 (DEGs).
- 确定CETP,TYROBP和SECTM1作为具有高预测准确度的关键免疫生物标志物 (AUC从0.804到0.811不等).
- 开发一种具有显著预测效率的早期预警模型 (AUC = 0.86,外部验证为AUC = 0.901),揭示了改变的免疫细胞透和关键信号通路 (NF-κB,MAPK).
结论:
- CETP,TYROBP和SECTM1是早期DM-TB风险评估的有希望的免疫生物标志物.
- 开发的风险模型为DM-TB提供了潜在的早期查策略.
- 了解DM-TB中的免疫调节障碍,可以了解致病机制和潜在的治疗点.
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