Blood-Based Biomarkers and Risk of Onset of Mild Cognitive Impairment Over the Short and Long Term.

IF 7.7 1区 医学 Q1 CLINICAL NEUROLOGY
Anja Soldan,Corinne Pettigrew,Jiangxia Wang,Marilyn S Albert,Kaj Blennow,Tobias Bittner,Abhay Moghekar
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Abstract

BACKGROUND AND OBJECTIVES Blood-based biomarkers of amyloid and tau have been shown to predict Alzheimer disease (AD) dementia. Much less is known about their ability to predict risk of mild cognitive impairment (MCI), an earlier disease stage. This study examined whether levels of blood biomarkers of amyloid (Aβ42/Aβ40 ratio), tau (p-tau181), neurodegeneration (NfL), and glial activation and neuroinflammation (glial fibrillary acidic protein [GFAP], YKL40, soluble triggering receptor expressed on myeloid cells 2 [sTREM2]) collected when participants were cognitively normal are associated with the time to onset of MCI. METHODS Cognitively unimpaired participants from the longitudinal observational BIOCARD study provided blood plasma at their baseline evaluation ("baseline 1"). A second "baseline" specimen (collected using slightly different procedures) was evaluated for participants who were still cognitively normal approximately 7 years later. The plasma assays were based on the NeuroToolKit (cobas Elecsys assays, Roche Diagnostics). Cox regression models tested the association of biomarker levels with time to MCI symptom onset, separately for both baselines. RESULTS Participants included 271 individuals at "baseline 1" (mean age = 57.5 years, 60.5% female, including 82 who progressed to MCI/dementia) and 202 individuals at "baseline 2" (mean age = 64.5 years, 62.4% female, including 31 progressors). The mean clinical follow-up was 15.5 years for "baseline 1" and 9.9 years for "baseline 2." For both baselines, lower plasma Aβ42/Aβ40 ratio (both hazard ratios, HRs ≤ 0.69, 95% CIs ≤ 0.55-0.87, p ≤ 0.034), higher GFAP (HRs ≥ 1.83, CIs ≥ 1.28-2.60, p < 0.002), and a higher ratio of p-tau181/(Aβ42/Aβ40) (HRs ≥ 1.64, CIs ≥ 1.25-2.13, p ≤ 0.001) were each associated with an earlier time to MCI symptom onset. For baseline 2, higher p-tau181 (HR = 2.07, CI = 1.12-3.83, p = 0.021) and higher NfL (HR = 1.75, CI = 0.99-3.10, p = 0.05) were also associated with earlier MCI symptom onset for progression within 7 years. When combining biomarkers, neither GFAP nor NFL was associated with MCI symptom onset after accounting for AD biomarker levels (e.g., p-tau181/(Aβ42/Aβ40)), which remained significant. YKL40 and sTREM2 were not associated with MCI onset. DISCUSSION Results indicate that during preclinical AD, more abnormal blood biomarker levels of amyloid (Aβ42/Aβ40), p-tau181, neurodegeneration (NfL), and neuroinflammation (GFAP) individually are associated with progression from normal cognition to MCI, but the AD-nonspecific neurodegeneration and inflammation markers were not associated with symptom onset after accounting for amyloid and p-tau levels.
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来源期刊
Neurology
Neurology 医学-临床神经学
CiteScore
12.20
自引率
4.00%
发文量
1973
审稿时长
2-3 weeks
期刊介绍: Neurology, the official journal of the American Academy of Neurology, aspires to be the premier peer-reviewed journal for clinical neurology research. Its mission is to publish exceptional peer-reviewed original research articles, editorials, and reviews to improve patient care, education, clinical research, and professionalism in neurology. As the leading clinical neurology journal worldwide, Neurology targets physicians specializing in nervous system diseases and conditions. It aims to advance the field by presenting new basic and clinical research that influences neurological practice. The journal is a leading source of cutting-edge, peer-reviewed information for the neurology community worldwide. Editorial content includes Research, Clinical/Scientific Notes, Views, Historical Neurology, NeuroImages, Humanities, Letters, and position papers from the American Academy of Neurology. The online version is considered the definitive version, encompassing all available content. Neurology is indexed in prestigious databases such as MEDLINE/PubMed, Embase, Scopus, Biological Abstracts®, PsycINFO®, Current Contents®, Web of Science®, CrossRef, and Google Scholar.
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