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通过识别全血宿主转录基因生物标志物签名,包括非编码基因,推进麻风险预测
Matheus Rogerio Almeida1,2, Elisa Gherardi1, Suzanne van Veen1
1Leiden University Center of Infectious Diseases (LUCID), Leiden University Medical Center (LUMC), Leiden, The Netherlands.
Scientific reports
|December 27, 2025
概括
这项研究开发了一种使用非编码基因的新RNA签名,可以在症状出现前61个月内预测麻风的发展. 这种改进的诊断工具增强了早期检测,以更好地控制麻风.
科学领域:
- 基因组学和转录基因组学
- 传染病研究传染病研究.
- 发现生物标志物的发现.
背景情况:
- 麻风病诊断目前依赖于临床症状,阻碍了早期检测和控制.
- 之前的RNA-Seq发现了一种4基因特征 (RISK4LEP) 用于病预测,AUC为86%.
- 需要改进,非侵入性生物标志物用于早期发现麻风.
研究的目的:
- 通过结合非编码基因来增强麻风险特征的预测能力.
- 为了确定用于临床前麻风病检测的新型转录生物标志物.
- 为了验证一个新的多基因签名,用于未来的麻风风险评估.
主要方法:
- 从病家庭接触者 (进展者和非进展者) 的RNA-Seq数据进行了重新分析.
- 包括非编码基因和应用新的差异基因表达 (DGE) 和机器学习分析.
- 在独立队列中使用RT-qPCR验证候选基因和签名.
主要成果:
- 在进展者和非进展者之间的40个基因中发现了显著的DGE.
- 十二个基因证实了诊断潜力,将进步者与家庭接触者区分开来.
- 一个最佳的3基因签名 (SNHG5,SNHG8,C6orf48),包括非编码和编码基因,实现了88%的灵敏度,88%的特异性和0.96 AUC.
- 特定的基因 (RPS21,SNHG5) 在进展患者和诊断患者中表达更高,表明临床前的作用.
结论:
- 一个改进的宿主转录风险签名,结合非编码基因,被确定用于预测麻风的发展.
- 这种签名证明了诊断准确度高,用于识别患有麻风险的个体.
- 这些发现支持在早期发现和管理麻风时基于血液的非编码基因签名的潜力.
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