在基于生物信息学分析和机器学习的基础上,鉴定心力衰竭中与酸代谢相关的诊断标志物
Saiqing Chen1, Chunxia Zhang2, Yueting Yu1
1Department of Emergency, Yiwu Hospital of Traditional Chinese Medicine, Yiwu, Zhejiang, China.
Frontiers in cardiovascular medicine
|December 31, 2025
概括
阿拉基酸 (AA) 基因表达与心力衰竭 (HF) 风险增加有关. 这项研究确定了关键的基因和途径,为个性化HF治疗策略提供了洞察力.
科学领域:
- 心血管研究研究心血管研究
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- 心力衰竭 (HF) 是心血管疾病的关键阶段,死亡率高.
- 阿拉基酸 (AA) 是一种必需的脂肪酸,在健康和疾病中显著影响心血管功能.
研究的目的:
- 为了研究酸 (AA) 和心力衰竭 (HF) 之间的关系.
- 识别潜在的生物标志物和治疗目标,以实现个性化高频管理.
主要方法:
- 利用了基因表达总量 (GEO) 数据库中的转录组数据.
- 进行生物信息学分析,包括DEG识别,GO和KEGG丰富.
- 采用LASSO,SVM-RFE和RF算法用于签名基因识别.
- 进行了ROC分析,名谱开发,免疫细胞透分析 (ssGSEA) 和途径分析 (GSEA).
- 使用qRT-PCR验证的基因表达.
主要成果:
- 通过ROC分析确定了具有高诊断价值的四个特征基因.
- 开发了一种临床名录,证明了显著的实用性.
- 观察到不同的免疫细胞透模式,并通过GSEA确定了关键的生物学途径.
结论:
- 确立了AA相关基因表达与高风险高风险之间显著的关联.
- 提供了对HF病变发生的新见解.
- 突出了个性化HF治疗策略的潜在途径.
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