使用机器学习算法探索与吸烟相关的骨质疏松症和慢性阻塞性肺病的共享基因特征
Haotian Wang1, Shaoshuo Li2, Baixing Chen3
1Graduate School of Nanjing University of Chinese Medicine, Nanjing, China.
Frontiers in molecular biosciences
|May 30, 2023
概括
吸烟对骨质疏松症和COPD都有影响. 这项研究确定了共享的与免疫相关的基因,为他们的共同发展和潜在的新疗法提供了洞察力.
科学领域:
- 基因组学和生物信息学
- 免疫学 免疫学 免疫学
- 肺病学和骨健康的研究
背景情况:
- 吸烟是骨质疏松症 (OP) 和慢性阻塞性肺病 (COPD) 的已知危险因素.
- 了解共享的分子机制可以揭示常见的致病途径.
研究的目的:
- 确定与骨质疏松症和慢性阻塞性肺部疾病中吸烟相关的共享基因特征.
- 探索免疫细胞透在这些吸烟相关疾病的病变发生中的作用.
主要方法:
- 来自基因表达综合 (GEO) 的微阵列数据集 (GSE11784,GSE13850,GSE10006,GSE103174) 的分析.
- 不同基因表达 (DEG) 分析,加权基因共同表达网络分析 (WGCNA),LASSO回归和随机森林 (RF) 算法.
- 逻辑回归和接收器操作特征 (ROC) 曲线分析用于诊断价值评估;免疫细胞透分析.
主要成果:
- 在吸烟相关的OP中确定了2858个DEG,在吸烟相关的COPD中确定了280个DEG.
- WGCNA揭示了与吸烟相关的OP和COPD之间的32个重叠的枢纽基因,富含免疫系统通路.
- 一个六基因逻辑回归模型证明了两种条件的高诊断准确性 (AUC 0.83和0.99);六个免疫相关基因被确定.
结论:
- 免疫细胞透概况在与吸烟相关的骨质疏松症和COPD的共享病变发生过程中发挥着重要作用.
- 确定了共享的基因特征和免疫通路,为新的治疗策略提供了潜在的目标.
- 这些发现有助于更深入地了解这些吸烟引起的疾病之间的分子联系.
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