炎症和营养标记作为诊断和评估MS和NMOSD疾病活动的指标
Xiaotong Li1,2,3, Wencan Jiang1,2,3, Guoge Li1,2,3
1Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
Journal of inflammation research
|December 4, 2024
概括
像NLR和白蛋白这样的炎症和营养标志物在诊断多发性硬化症 (MS) 和神经omyelitis optica光谱障碍 (NMOSD) 中具有潜力. 使用这些标记物的诊断模型准确地区分MS和NMOSD.
科学领域:
- 神经免疫学 神经免疫学
- 生物标志物发现发现
- 临床诊断 临床诊断 临床诊断
背景情况:
- 炎症和营养状况在脱髓化疾病中越来越被认可.
- 关键的炎症指数 (例如,中性粒细胞与淋巴细胞的比率 (NLR)) 和营养标志物 (例如,专蛋白 (ALB)) 可以预测疾病的发生.
- 它们在评估多发性硬化症 (MS) 和神经omyelitis optica光谱障碍 (NMOSD) 的实用性尚未被探索.
研究的目的:
- 研究炎症和营养标志物在诊断和区分MS和NMOSD中的潜力.
- 开发和验证使用这些标记物的诊断模型.
- 评估随时间变化的标记物及其与疾病活动的相关性.
主要方法:
- 对249名NMOSD患者,244名MS患者和249名健康对照 (HC) 进行了回顾性分析.
- 计算炎症指数 (MLR,NLR,PLR,SII,SIRI) 和测量营养标志物 (ALB,HB,BMI) 的方法.
- 后勤回归和ROC曲线分析用于模型开发和验证;六个月的纵向监测.
主要成果:
- 在MS和NMOSD患者中观察到MLR,NLR,SII,SIRI升高和ALB降低,与HC患者相比.
- 与MS患者相比,NMOSD患者的MLR,NLR,SII,SIRI较高,HB,ALB较低.
- 诊断模型实现了MS (0.840),NMOSD (0.905) 和分化 (0.806) 的高AUC;标记与疾病严重程度和炎症标记相关.
结论:
- 炎症和营养标志物对于评估MS和NMOSD中的疾病活性有价值.
- 开发的诊断模型显著提高了区分MS和NMOSD的准确性.
- 这些标记物为疾病评估和管理提供了有前途的临床实用性.
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