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解码良性前列腺增生症:来自多流体代谢分析的见解

Xiaoyu Xu1,2, Haisong Tan1, Wei Zhang1,3

  • 1Department of Urology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.

Small methods
|February 3, 2025
PubMed
概括

准确诊断良性前列腺增生症 (BPH) 是至关重要的. 这项研究使用MALDI MS确定了新的尿液和血清代谢模式和生物标志物,改善了早期BPH检测和个性化治疗策略.

关键词:
良性前列腺增生症 良性前列腺增生症生物标志物 生物标志物这是分类分类的分类.下泌尿道的症状 症状代谢过程中的patten.

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科学领域:

  • 生物化学 生物化学
  • 医学诊断 医学诊断 医学诊断
  • 分析化学 分析化学

背景情况:

  • 随着人口老龄化,良性前列腺增生症 (BPH) 的发病率不断上升,需要改进诊断方法.
  • 目前的BPH诊断面临挑战,因为缺乏特定的生物标志物来区分它与其他导致下尿路症状 (LUTS) 的其他原因.

研究的目的:

  • 开发和验证一个代谢检测平台,用于识别用于早期和准确的BPH诊断的新生物标志物.
  • 用尿液和血清代谢模式将BPH与其他LUTS和健康个体区分开来.

主要方法:

  • 使用纳米粒子辅助矩阵辅助激光脱/电离质谱 (MALDI MS) 代谢平台进行尿液和血清分析.
  • 采用两步查方法:自动识别尿道代谢模式 (UMPs) 来区分健康与LUTS群体,其次是血清代谢模式 (SMPs) 来识别LUTS队列中的BPH.
  • 确定了八种对BPH敏感的代谢标志物.

主要成果:

  • 马尔迪MS平台展示了快速分析,最小的样本消耗和高可重复性.
  • 在使用SMPs的LUTS队列中准确识别BPH病例的AUC达到0.830.
  • 确定了八个BPH敏感的代谢标志物,在各年龄组均分布.

结论:

  • 这种代谢学方法为早期诊断BPH提供了宝贵的见解.
  • 鉴定的生物标志物和代谢模式可以增强临床实践和个性化BPH治疗策略.
  • 这项研究有助于改善受BPH影响的老年人群的患者护理.