Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA.
Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA.
Alzheimers Dement. 2022 Jan;18(1):77-87. doi: 10.1002/alz.12382. Epub 2021 May 31.
Representation of Mexican Americans in Alzheimer's disease (AD) clinical research has been extremely poor.
Data were examined from the ongoing community-based, multi-ethnic Health & Aging Brain among Latino Elders (HABLE) study. Participants underwent functional exams, clinical labs, neuropsychological testing, and 3T magnetic resonance imaging of the brain. Fasting proteomic markers were examined for predicting mild cognitive impairment (MCI) and AD using support vector machine models.
Data were examined from n = 1649 participants (Mexican American n = 866; non-Hispanic White n = 783). Proteomic profiles were highly accurate in detecting MCI (area under the curve [AUC] = 0.91) and dementia (AUC = 0.95). The proteomic profiles varied significantly between ethnic groups and disease state. Negative predictive value was excellent for ruling out MCI and dementia across ethnic groups.
A blood-based screening tool can serve as a method for increasing access to state-of-the-art AD clinical research by bridging between community-based and clinic-based settings.
在阿尔茨海默病（AD）临床研究中，对墨西哥裔美国人的代表性极差。
本研究对正在进行的基于社区的、多民族的拉丁裔老年人健康与大脑老化研究（HABLE）的数据进行了分析。参与者接受了功能检查、临床实验室检查、神经心理学测试以及大脑 3T 磁共振成像。使用支持向量机模型，对空腹蛋白质组标志物进行了检查，以预测轻度认知障碍（MCI）和 AD。
从 n=1649 名参与者中（墨西哥裔美国人 n=866 名；非西班牙裔白人 n=783 名）检查了数据。蛋白质组谱在检测 MCI（曲线下面积 [AUC] = 0.91）和痴呆（AUC = 0.95）方面非常准确。蛋白质组谱在不同种族群体和疾病状态之间存在显著差异。该蛋白质组谱在排除 MCI 和痴呆方面在不同种族群体中的阴性预测值均很高。
基于血液的筛查工具可以作为一种方法，通过将社区和诊所环境联系起来，为先进的 AD 临床研究提供途径。
