使用血清代谢组分来确定慢性病的血清生物标志物
Xi Gu1, Yindi Dong1, Xuemei Wang2,3
1Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Renal failure
|October 8, 2024
概括
研究人员在慢性病 (CKD) 患者中确定了独特的血清代谢物概况,与健康对照显著不同. 这些发现揭示了用于CKD检测和管理的潜在新生物标志物.
科学领域:
- 代谢学 代谢学 代谢学
- 生物化学 生物化学
- 腎臟病學 (nephrology) 是一種醫學專業.
背景情况:
- 慢性病 (CKD) 影响全球数百万人,需要改进诊断和管理策略.
- 血清代谢学为在非透析CKD患者中发现新的生物标志物提供了一个有希望的途径.
研究的目的:
- 为了确定血清代谢生物标志物用于早期检测慢性病 (CKD).
- 为了研究CKD患者和健康对照人群之间血清代谢概况的差异.
主要方法:
- 使用超高性能液体染色学-并联质谱法 (UPLC-MS) 进行非向血清代谢分析.
- 从194名非透析CKD患者和317名健康对照 (HC) 收集了样本.
- 开发并验证了一种随机森林分类模型.
主要成果:
- 在CKD患者和HC患者之间观察到血清代谢概况的显著差异.
- 在CKD中鉴定出314种不同丰富的代谢物 (179种上调,135种下调).
- 主要受影响的途径包括氨酸生物合成,氨酸代谢,酸代谢和纯氨酸代谢.
- 随机森林模型实现了高的诊断准确性 (AUC=1在培训/验证中,0.9435在交叉验证中).
结论:
- 血清代谢分析有效地区分了非透析CKD患者与健康个体.
- 异常的生物代谢与CKD的发病有关.
- 已识别的代谢物和途径代表了对CKD诊断和治疗点的潜在新生物标志物.
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