Li Yanzhe, Yu Xue, Ma Zhonghui, Liu Qinghe, Li Min, Tian Xue, Li Baozhu, Zhang Ran, Gu Pei, Bai Fengfeng, Luo Guoshuai, Li Meijuan, Sun Daliang
Institute of Mental Health, Tianjin Mental Health Center, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Department of Psychiatry, Shandong Mental Health Center, Shandong University, Jinan, China.
Psychiatry Investig. 2024 Nov;21(11):1211-1220. doi: 10.30773/pi.2024.0164. Epub 2024 Nov 18.
The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer's disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers.
Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy.
Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05).
Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.
全球人口老龄化预示着神经退行性疾病的患病率将升高。其中最主要的是阿尔茨海默病(AD),它是老年人痴呆的首要病因。有效治疗方法和早期诊断指标的短缺凸显了识别用于早期检测和疾病监测的非侵入性生物标志物的紧迫性。最近,血液代谢物已成为AD生物标志物的有希望的候选者。
利用血浆样本的核磁共振(NMR)光谱,我们进行了一项横断面研究,纳入了35例AD患者和35例年龄匹配的健康对照。所有参与者均使用简易精神状态检查表评估认知功能,随后采集外周血样本。我们利用单变量和多变量分析通过NMR光谱进行靶向脂质组学分析。
我们的研究显示,AD患者与健康对照之间,女性低密度脂蛋白相关亚组分和男性高密度脂蛋白相关亚组分的表达谱存在显著差异(所有p<0.05)。然而,男性和女性之间没有显著的代谢物重叠。此外,受试者工作特征曲线分析表明,脂质代谢物的组合具有良好的诊断价值(所有曲线下面积>0.70;p<0.05)。
我们的研究结果表明,使用NMR的血浆样本有望区分AD患者和健康对照,这对推进AD诊断方法具有重要的临床意义。