血代谢学识别了关键代谢物,并改善了良性前列腺增生症的预测
Xinkai Pan1, Dingwen Liu1, Jiaming He1
1Department of Urology, The Third Xiangya Hospital of Central South University, Changsha, China.
International journal of surgery (London, England)
|February 12, 2026
概括
基于核磁共振 (NMR) 的代谢学揭示了与良性前列腺增生 (BPH) 风险相关的关键循环代谢物. 整合这些代谢物适度地改善了BPH预测模型.
科学领域:
- 代谢学 代谢学 代谢学
- 生物标志物发现发现
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
背景情况:
- 代谢生物标志物在良性前列腺激增症 (BPH) 发病过程中的作用尚不清楚.
- 研究代谢概况可能为BPH发展提供新的见解.
研究的目的:
- 评估基于核磁共振 (NMR) 的代谢学与BPH风险之间的关联.
- 探索将确定的代谢物整合到BPH风险预测模型中的实用性.
主要方法:
- 对78,724名英国生物库参与者进行了基于NMR的血代谢学数据的分析.
- 考克斯比例危害模型用于识别与BPH风险相关的代谢物.
- 弹性网规范化和XGBoost用于代谢物选择和风险预测.
主要成果:
- 46种代谢物在13.6年的随访中与BPH发病率显著相关.
- 通过调节确定了9个关键代谢物.
- 整合代谢物适度提高了预测准确性 (一致性指数:0.688比0.685).
结论:
- 循环中的代谢物与发展BPH的危险有关.
- 基于NMR的代谢学显示了提高BPH风险预测的潜力.
- 这些发现可能会为BPH的临床管理策略提供信息.
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