通过生物信息学分析选和验证类的诊断标记物
1Hainan Affiliated Hospital of Hainan Medical University, Hainan, Haikou, 570100, China.
Biochemistry and biophysics reports
|September 12, 2025
概括
研究人员确定了SMURF2和CCDC80作为潜在的诊断标志物,用于皮肤痕状况 - - keloid 疾病 (KD). 这些基因在KD中表达增加,并可能提供新的治疗点.
科学领域:
- 皮肤病学 皮肤病学
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- 状体疾病 (KD) 是由复杂机制的异常伤口愈合引起的.
- 识别可靠的KD诊断标记对于有效的管理至关重要.
研究的目的:
- 使用生物信息学选 keloid 疾病的诊断标志物.
- 评估潜在的KD生物标志物的临床应用价值.
主要方法:
- 对多个基因表达数据集 (GSE44270,GSE145725,GSE7890,GSE83286) 的分析.
- 差异表达分析的应用,加权基因联合表达网络分析 (WGCNA) 和机器学习算法.
- 使用接收器运行特征 (ROC) 曲线,外部数据集,免疫细胞透分析,ceRNA网络构建,药物预测,分子对接,RT-qPCR和西斑 (WB) 的验证.
主要成果:
- 两种上调的基因,SMURF2和CCDC80,被确定与KD的免疫细胞有显著的关联.
- KD样品被分为两种亚型 (C1和C2),其中SMURF2主要存在于C1和CCDC80在C2.
- 双甲被预测为KD的潜在治疗剂. 在KD样本中,SMURF2和CCDC80都显示了显著增加的mRNA和蛋白质水平.
结论:
- SMURF2和CCDC80被确定为潜在的诊断标记物,用于 keloid 疾病.
- 这些基因为了解KD病变发生和临床诊断提供了新的分子标.
- 这项研究提供了对基洛因形成背后的分子机制的新见解.
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