以JAK为中心的可解释的几次射击基因表达诊断框架,通过MultiPLIER先验和关系式的集合对集合比较来诊断脱发症
Nanlan Yu1, Ling Ran2, Xinrong Gong3
1Department of Dermatology, The First Affiliated Hospital (Southwest Hospital), Army Medical University, Chongqing, China.
Frontiers in molecular biosciences
|January 28, 2026
概括
这项研究通过分析JAK-STAT信号,确定了四个基因生物标志物 (GZMA,IL2RB,IL2RG,EOMES) 用于白发性脱毛 (AA). 这一发现为AA提供了潜在的非侵入性诊断工具和治疗标,使其与雄激素性脱毛症区别开来.
科学领域:
- 基因组学和生物信息学
- 免疫学 免疫学 免疫学
- 皮肤病学 皮肤病学
背景情况:
- 大发性脱发症 (AA) 和雄性发育性脱发症 (AGA) 是不同的脱发情况,需要不同的治疗.
- 目前缺乏可靠的生物标志物来区分AA和AGA,并指导治疗.
- JAK-STAT信号通路的失调与各种免疫介导的疾病有关.
研究的目的:
- 为了使用集成的转录基因数据,比较JAK-STAT在白发病 (AA) 和雄性发育性白发病 (AGA) 之间的信号.
- 为了确定AA诊断和潜在的治疗点的新生物标志物.
- 开发一个可解释的AI (XAI) 框架,用于在小群体中进行转录基因诊断.
主要方法:
- 综合批量和单细胞RNA测序 (RNA-seq) 分析.
- 权重基因共同表达网络分析 (WGCNA) 和机器学习算法 (LASSO,SVM-RFE,随机森林) 用于生物标志物发现.
- 开发使用MultiPLIER潜伏变量和关键基因表达来进行AA与控制区分的几次深度学习分类器.
- 在独立的头皮样本上使用RT-qPCR和Western blot进行湿实验室验证.
- 功能注释和药物基因网络分析.
主要成果:
- 确定了四个基因特征 (GZMA,IL2RB,IL2RG,EOMES) 与AA显著相关.
- 在AA头皮样本中的mRNA和蛋白质水平上验证了IL2RB/IL2RG-EOMES-GZMA轴的激活.
- 局部GZMA对细胞毒性T细胞和IL2RG对增殖性淋巴细胞,揭示了细胞毒性T细胞循环驱动AA中的JAK-STAT过活化.
- 在AGA中没有证明可比的JAK-STAT扰动.
- 开发了一个强大的和可解释的几次射击深度学习分类器,用于AA诊断.
结论:
- EOMES+/CD8+ T细胞GZMA-IL2RB/IL2RG细胞毒性循环是白发症区域中JAK-STAT过活化的关键驱动因素.
- 已识别的四个基因轴作为AA的潜在非侵入性生物标志物和精确JAK抑制的目标.
- 提议的预先驱动的几次射击学习框架为小型患者队列的转录组诊断提供了可泛化的XAI解决方案.
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