Yilmaz Ali, Geddes Tim, Han BeomSoo, Bahado-Singh Ray O, Wilson George D, Imam Khaled, Maddens Michael, Graham Stewart F
Beaumont Research Institute, Beaumont Health, Royal Oak, MI, USA.
Departments of Biological and Computing Sciences, University of Alberta, Edmonton, AB, Canada.
J Alzheimers Dis. 2017;58(2):355-359. doi: 10.3233/JAD-161226.
Using 1H NMR metabolomics, we biochemically profiled saliva samples collected from healthy-controls (n = 12), mild cognitive impairment (MCI) sufferers (n = 8), and Alzheimer's disease (AD) patients (n = 9). We accurately identified significant concentration changes in 22 metabolites in the saliva of MCI and AD patients compared to controls. This pilot study demonstrates the potential for using metabolomics and saliva for the early diagnosis of AD. Given the ease and convenience of collecting saliva, the development of accurate and sensitive salivary biomarkers would be ideal for screening those at greatest risk of developing AD.
利用氢核磁共振代谢组学技术，我们对从健康对照组（n = 12）、轻度认知障碍（MCI）患者（n = 8）和阿尔茨海默病（AD）患者（n = 9）收集的唾液样本进行了生化分析。与对照组相比，我们准确地识别出MCI和AD患者唾液中22种代谢物的显著浓度变化。这项初步研究证明了利用代谢组学和唾液进行AD早期诊断的潜力。鉴于收集唾液的简便性，开发准确、灵敏的唾液生物标志物将是筛查AD高危人群的理想方法。
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