系统性炎症指标和事件风险 代谢不健康的表型
Linlin Zhao1,2, Man Cui3, Saiqi Yang1,2
1Health Management Medicine Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Journal of inflammation research
|October 7, 2024
概括
基线时C-反应蛋白 (CRP) 和中性粒细胞数量升高预测了代谢不健康的表型. 与CRP相比,复合炎症标志物对代谢健康风险的预测价值有限.
科学领域:
- 心血管健康 心血管健康
- 代谢综合征研究 代谢综合征研究
- 炎症生物标志物 炎症生物标志物
背景情况:
- 代谢不健康 (MU) 现型是一个越来越令人担忧的问题.
- 识别代谢功能障碍的早期预测因素对于预防策略至关重要.
- 系统性炎症指标是代谢健康的潜在标志物.
研究的目的:
- 研究基线系统性炎症指标与代谢不健康的表型的发展之间的关联.
- 为了评估八种系统性炎症标志物的预测价值,在两年内对代谢健康进行评估.
主要方法:
- 对4175名年龄在20至80岁的成年人进行了回顾性队列研究.
- 参与者根据预先定义的标准被分类为代谢健康 (MH) 或代谢不健康 (MU).
- 用于评估基线炎症标志物和随访时的MU表型之间的关联的后勤回归分析.
主要成果:
- 在两年内,22.08%的参与者出现了新的MU表型.
- C-反应蛋白 (CRP) 水平和中性粒细胞数量与MU表型的风险增加有显著的关联.
- 几率比率表明,较高的CRP水平和中性粒细胞数量以及代谢不健康的可能性之间存在剂量反应关系.
结论:
- 基线CRP和中性粒细胞计数是中国成年人发展代谢不健康的表型的重要预测因素.
- 复合炎症标志物如NLR,PLR,LMR和SII显示出相对于CRP在预测MU风险方面的额外益处有限.
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