Medical Imaging Center, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China; The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China; Medical Imaging Center, the second Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong, China.
Medical Imaging Center, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China; The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Neurobiol Dis. 2022 Sep;171:105782. doi: 10.1016/j.nbd.2022.105782. Epub 2022 Jun 6.
"Subjective cognitive decline plus" (SCD plus) increases the risk of Alzheimer's disease (AD), and this may be an early stage of AD that precedes amnestic mild cognitive impairment (aMCI). We examined alterations of serum metabolites and metabolic pathways in SCD plus subjects using H-magnetic resonance spectroscopy (H NMR) metabolomics.
Serum samples from subjects with SCD plus (n = 32), aMCI (n = 33), and elderly controls (ECs, n = 41) were analyzed using an 800MHz NMR spectrometer. Multivariate analyses were used to identify serum metabolites, and two machine-learning methods were used to evaluate the diagnostic power of these metabolites in distinguishing SCD plus subjects, aMCI subjects, and ECs.
Eight metabolites differentiated SCD plus from EC subjects. A random forest (RF) model discriminated SCD plus from EC subjects with an accuracy of 0.883 and an area under the receiver operating characteristic curve (AUROC) of 0.951. A support vector machine (SVM) model had an accuracy of 0.857 and an AUROC of 0.946. Nine other metabolites distinguished SCD plus from aMCI subjects. An RF model discriminated SCD plus from aMCI subjects (accuracy: 0.975, AUROC: 0.998) and an SVM model also discriminated these two groups (accuracy: 0.955, AUROC: 0.991). Disturbances of glucose and branched-chain amino acid (BCAA) metabolism were the most striking features of SCD plus subjects, and valine was positively correlated with Auditory Verbal Learning Test delayed-recall score.
Serum metabolomics using H NMR provided noninvasive identification of perturbations in glucose and BCAA metabolism in subjects with SCD plus.
“主观认知衰退加”（SCD plus）增加了阿尔茨海默病（AD）的风险，这可能是 AD 的早期阶段，早于遗忘型轻度认知障碍（aMCI）。我们使用 H 磁共振波谱（H NMR）代谢组学检查了 SCD plus 受试者的血清代谢物和代谢途径的变化。
使用 800MHz NMR 光谱仪分析了 SCD plus（n=32）、aMCI（n=33）和老年对照组（EC，n=41）的血清样本。使用多元分析来识别血清代谢物，并且使用两种机器学习方法来评估这些代谢物在区分 SCD plus 受试者、aMCI 受试者和 EC 受试者方面的诊断能力。
八种代谢物将 SCD plus 与 EC 受试者区分开来。随机森林（RF）模型区分 SCD plus 和 EC 受试者的准确率为 0.883，接受者操作特征曲线（AUROC）下面积为 0.951。支持向量机（SVM）模型的准确率为 0.857，AUROC 为 0.946。另外 9 种代谢物将 SCD plus 与 aMCI 受试者区分开来。RF 模型区分 SCD plus 和 aMCI 受试者的准确率为 0.975，AUROC 为 0.998，SVM 模型也区分了这两组（准确率：0.955，AUROC：0.991）。SCD plus 受试者葡萄糖和支链氨基酸（BCAA）代谢紊乱最为明显，缬氨酸与听觉言语学习测试延迟回忆评分呈正相关。
使用 H NMR 的血清代谢组学提供了对 SCD plus 受试者葡萄糖和 BCAA 代谢紊乱的无创识别。
Zotero 插件