基于SALIVA的糖尿病诊断方法:迈向非侵入性检测的一步 - 范围审查
N Cenzato1, F Cazzaniga, C Maspero
1Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy. niccolo.cenzato@unimi.it.
European review for medical and pharmacological sciences
|January 2, 2024
概括
唾液分析显示了糖尿病 (DM) 诊断的前景. 包括葡萄糖在内的几种唾液生物标志物可以帮助查和监测这种慢性疾病.
科学领域:
- 生物化学 生物化学
- 临床诊断 临床诊断 临床诊断
- Salivaomics 是一个关于唾液的概念.
背景情况:
- 糖尿病 (DM) 是一种慢性自身免疫性疾病,其特征是高血糖症.
- 唾液是一种非侵入性的生物流体,反映了全身健康状况,并越来越多地被用于诊断.
- 目前的诊断指南缺乏DM的特定唾液生物标志物.
研究的目的:
- 审查唾液分析用于糖尿病诊断的可行性.
- 确定可靠的唾液生物标志物用于DM查和预后.
主要方法:
- 在主要的科学数据库中进行了系统的文献搜索.
- 在审查过程中遵循了PRISMA指南.
- 分析了33项研究,调查了DM的唾液生物标志物.
主要成果:
- 唾液葡萄糖估计是DM的潜在指标.
- 生物标志物如1,5-基醇,α-氨酶,阿斯素,抵抗素和果糖胺显示出DM查的潜力.
- 发现Cystatin SA是个例外,没有显示DM诊断的实用性.
结论:
- 多种唾液生物标志物显示出监测糖尿病的潜力.
- 需要进行进一步的研究,以确定可靠的DM预测的精确参考值.
- 标准化的唾液收集和处理对于最大限度地减少变异至关重要.
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