血清代谢学识别了根性囊中的生物标志物
Zheng Wei1, Kou Dou2, Linzhong Yang3
1Pediatric Dentistry, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, 210008, Jiangsu, China.
Metabolomics : Official journal of the Metabolomic Society
|December 1, 2025
概括
这项研究揭示了根性囊 (RC) 患者的不同代谢概况,确定了七种关键血清代谢物. 这些生物标志物使得根性囊的高精度,非侵入性诊断模型成为可能.
科学领域:
- 口腔病理学 口腔病理学
- 代谢学 代谢学 代谢学
- 发现生物标志物的发现.
背景情况:
- 根性囊 (RCs) 是一种常见的牙产生的囊,对全身代谢影响的了解很少.
- 阐明RC患者的代谢概况对于理解病变发生和诊断至关重要.
研究的目的:
- 通过使用血清代谢药来研究根性囊患者的系统代谢障碍.
- 确定潜在的血清生物标志物,用于构建RCs的诊断模型.
主要方法:
- 在30名RC患者和20名健康对照人群 (HCs) 上,使用气色谱质谱法 (GC-MS) 进行了非向血清代谢.
- 多变量统计分析 (PCA,OPLS-DA) 确定了不同的代谢物.
- 使用LASSO回归构建了一个诊断模型,并通过ROC曲线分析进行验证.
主要成果:
- 在73个确定的血清代谢物中,31个在RC患者中显著失调 (8个上调,23个下调).
- 通过LASSO回归选择了七种代谢物 (三氨酸,同类氨酸,dAMP,生物素,ADP,dGDP,脱氧氨).
- 诊断模型在RC患者和HC患者之间实现了完美的歧视 (AUC: 1.00,灵敏度: 1.00,特异性: 1.00).
结论:
- 这项研究首次描述了根性囊患者的全身代谢概况.
- 使用七种血清代谢物建立了RCs的高度精确的诊断模型.
- 这些发现提供了对RC病变的洞察力,并支持开发非侵入性诊断工具.
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