期刊
ALZHEIMERS RESEARCH & THERAPY
卷 13, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s13195-021-00804-9
关键词
Blood biomarkers; GFAP; Alzheimer’ s disease; Mild cognitive impairment
资金
- Swedish Research Council
- Knut and Alice Wallenberg Foundation
- Marianne and Marcus Wallenberg Foundation
- Strategic Research Area MultiPark (Multidisciplinary Research in Parkinson's disease) at Lund University
- Swedish Alzheimer Foundation
- Swedish Brain Foundation
- Parkinson foundation of Sweden
- Parkinson Research Foundation
- Skane University Hospital Foundation
- Wallenberg Center for Molecular Medicine
- Medical Faculty at Lund University
- Swedish Medical Association
- Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse
- Region Skane
- Bundy Academy
- Swedish federal government under the ALF agreement
- Lund University
Plasma GFAP can detect AD pathology in patients with MCI and predict conversion to AD dementia, showing potential clinical utility.
Introduction Plasma glial fibrillary acidic protein (GFAP) is a marker of astroglial activation and astrocytosis. We assessed the ability of plasma GFAP to detect Alzheimer's disease (AD) pathology in the form of AD-related amyloid-beta (A beta) pathology and conversion to AD dementia in a mild cognitive impairment (MCI) cohort. Method One hundred sixty MCI patients were followed for 4.7 years (average). AD pathology was defined using cerebrospinal fluid (CSF) A beta 42/40 and A beta 42/total tau (T-tau). Plasma GFAP was measured at baseline and follow-up using Simoa technology. Results Baseline plasma GFAP could detect abnormal CSF A beta 42/40 and CSF A beta 42/T-tau with an AUC of 0.79 (95% CI 0.72-0.86) and 0.80 (95% CI 0.72-0.86), respectively. When also including APOE epsilon 4 status as a predictor, the accuracy of the model to detect abnormal CSF A beta 42/40 status improved (AUC = 0.86, p = 0.02). Plasma GFAP predicted subsequent conversion to AD dementia with an AUC of 0.84 (95% CI 0.77-0.91), which was not significantly improved when adding APOE epsilon 4 or age as predictors to the model. Longitudinal GFAP slopes for A beta-positive and MCI who progressed to dementia (AD or other) were significantly steeper than those for A beta-negative (p = 0.007) and stable MCI (p < 0.0001), respectively. Conclusion Plasma GFAP can detect AD pathology in patients with MCI and predict conversion to AD dementia.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据