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使用可解释的人工智能解释COPD,MS和肺癌的炎症途径的miRNA介导调节:从外周血液概况的见解

Nakul Tanwar¹, Yasha Hasija¹

¹Department of Biotechnology, Delhi Technological University Shahbad Daulatpur, Main Bawana Road, Delhi-110042, India.

Integrative biology : quantitative biosciences from nano to macro

|October 21, 2025

概括

这项研究确定了关键的微RNA (miRNA) 及其目标基因,如hsa-let-7c和CCL2,这些基因调节慢性阻塞性肺病 (COPD),多发性硬化症 (MS) 和肺癌的炎症,为新的精准医学方法铺平了道路.

科学领域:

分子生物学分子生物学
遗传学是一个遗传学.
免疫学免疫学免疫学

背景情况:

慢性阻塞性肺病 (COPD),多发性硬化症 (MS) 和肺癌共享炎症途径和免疫失调.
微RNAs (miRNAs) 是基因表达的关键调节者,但它们在这些相互关联的疾病中的特定作用尚未完全理解.

研究的目的:

确定特定的miRNA及其向基因,这些基因参与调节常见于COPD,MS和肺癌的炎症途径.
阐明这些疾病的分子遗传基础,以实现潜在的治疗进展.

主要方法:

使用随机森林模型与网格搜索优化和分层K折交叉验证分析miRNA表达数据.
在数据不平衡的情况下应用合成少数超样本 (SMOTE) 和用于识别关键miRNA的SHapley添加式扩展 (SHAP).
功能丰富,途径分析和单细胞分析,以探索miRNA-基因相互作用和细胞特异性作用,在独立数据集上进行验证.

主要成果:

确定调节炎症基因 (CCL2,IL6,ITGB3,MYC) 的关键miRNAs (hsa-let-7c,hsa-miR-454,hsa-miR-92a,hsa-miR-223) 的发现.
这些基因对细胞因子信号传递,上皮质修复和免疫调节至关重要,炎症性纤维细胞在组织重塑中发挥作用.
随机森林模型显示了高精度 (81.58%82.55%),路径分析突出了神经和呼吸系统疾病之间的共享机制.

结论:

微RNA及其向基因被确定为COPD,多发性硬化和肺癌中炎症的关键调节者.
单细胞洞察力和途径分析揭示了共享的分子机制,支持生物标志物发现.
这些发现有助于开发针对炎症性疾病的精准医学策略.

关键词:

和慢性阻塞性肺病 (COPD).可解释的人工智能 (XAI)这是一种炎症炎症炎症炎症.肺癌是一种肺癌.多发性硬化症 (MS) 是一种疾病.

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