作者: Zhiguang Huo , Brinda K. Rana , Jeremy A. Elman , Ruocheng Dong , Corinne D. Engelman
DOI: 10.3389/FNAGI.2020.555850
关键词:
摘要: Alzheimer's dementia (AD) begins many years before its clinical symptoms. Metabolic dysfunction represents a core feature of AD and cognitive impairment, but few metabolomic studies have focused on aging in midlife. Using an untargeted metabolomics approach, we identified metabolic predictors midlife using fasting plasma sample from 30 middle-aged (mean age 57.2), male-male twin pairs enrolled the Vietnam Era Twin Study Aging (VETSA). For all pairs, one developed incident MCI, whereas his co-twin brother remained to be cognitively normal during average 5.5-year follow-up. Linear mixed model was used identify metabolites predictive MCI conversion or change over time, adjusting for traditional risk factors. Results twins were replicated independent cohort adults 59.1) Wisconsin Registry Prevention (WRAP). showed that higher baseline levels four metabolites, including sphingomyelin (d18:1/20:1 d18:2/20:0), (d18:1/22:1, d18:2/22:0, d16:1/24:1), DAG (18:2/20:4), hydroxy-CMPF, significantly associated with slower decrease more domains function. The association d18:2/20:0) WRAP. Our results support perturbation occurs impairment may serve as early biomarkers prediction monitoring