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胰岛素抵抗和代谢综合征的生物标志物和数据可视化:一种可应用的方法

Christos Sotiropoulos¹, Nikolaos Giormezis¹, Vayianos Pertsas²

¹Department of Microbiology, School of Medicine, University of Patras, 26504 Patras, Greece.

Life (Basel, Switzerland)

|September 28, 2024

概括

早期检测胰岛素耐药性 (IR) 和代谢综合征 (MetS) 是通过使用低成本标记物如BMI和中性粒细胞与HDL-胆固醇比率 (NHR) 指数以及数据可视化而得到改善. 这种方法可以提高患者对代谢健康管理的理解和坚持.

科学领域:

生物化学和血液学
代谢健康和疾病
预防医学和诊断预防医学和诊断

背景情况:

2型糖尿病,糖尿病前期和胰岛素耐药性 (IR) 是普遍存在的,并且往往未被早期诊断出来,导致了一个沉默的流行病.
代谢综合征 (MetS) 非常普遍,增加了慢性疾病的负担.
由于传统的结果格式缺乏特定标记和可视化,目前的年度检查不足以进行早期检测.

研究的目的:

在社区实验室环境中评估低成本的生物化学和血液学参数,以识别IR和MetS.
评估数据可视化的实用性,以呈现新陈代谢概况,以改善患者的理解.
为了将新型红外诊断标记与已建立的指数比较,如HOMA-IR.

主要方法:

一项涉及希腊帕特拉斯1870名参与者的横截面研究.
对血液样本进行心血管和炎症标志物的分析.
对红外线诊断标记 (TyG-Index,TyG-BMI,三糖/高血糖比,NLR) 与HOMA-IR进行评估,并引入中性粒细胞到高血糖-胆固醇比 (NHR) 指数.

主要成果:

在正常体重和肥胖个体之间观察到心血管风险和炎症标志物的显著差异,BMI被确定为关键风险因素.
该NHR指数有效地将肥胖个体和那些患有MetS的人与正常人区分开来.
结合BMI和NHR指数的新型IR指数与现有指数相比表现优异;数据可视化增强了代谢健康模式的理解.

结论:

身体质量指数 (BMI) 和NHR指数对于评估代谢健康模式是有价值的.
将特定标记和数据可视化集成到例行检查中,可以显著改善IR和MetS的早期检测.
提升早期检测有助于提高患者的认识和遵守管理策略.

关键词:

体重指数 (BMI) 的分类国家人力资源指数 (NHR) 指数数据可视化数据可视化胰岛素耐药性是一种胰岛素耐药性.代谢综合征代谢综合征

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