Plasma biomarkers of amyloid, tau, astrogliosis, and axonal injury in a mixed memory clinic cohort.

IF 4 Q1 CLINICAL NEUROLOGY
Helena Sophia Gleerup, Anja Hviid Simonsen, Lana Grötschel, Mathias Holsey Gramkow, Peter Høgh, Kaj Blennow, Henrik Zetterberg, Nicholas Ashton, Steen Gregers Hasselbalch
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引用次数: 0

Abstract

Introduction: Studies have shown that blood biomarkers can differentiate dementia disorders. However, the diagnosis of dementia still relies primarily on cerebrospinal fluid and imaging modalities. The new disease-modifying treatments call for more widely applicable biomarkers.

Methods: Plasma samples (n = 250) from two mixed memory clinic were included. Participants were divided into amyloid beta positives (Aβ+) and Aβ negatives (Aβ-). Plasma phosphorylated tau (p-tau) 181, p-tau231, Aβ1-42 (Aβ42), Aβ40, Aβ42/Aβ40, glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) were measured by single molecule array.

Results: Significant differences were found among cognitively unimpaired, mild cognitive impairment, Alzheimer's disease (AD), and non-AD, and nearly all of the biomarkers were able to predict amyloid status. When combining p-tau181 and p-tau231 they predicted Aβ positivity with an area under the curve (AUC) of 0.75, and when combining all biomarkers an AUC of 0.86 was found.

Discussion: This study supports previous findings on plasma biomarkers, even when investigated in a typical clinical setting in a consecutive, heterogeneous, mixed memory clinic.

Highlights: This study investigated seven plasma biomarkers in a mixed memory clinic, regardless of amyloid co-pathology or atypical phenotypes.These findings support previous promising results on plasma biomarkers, even when investigated in a heterogeneous population.The combination of phosphorylated tau (p-tau)181 and p-231 performed only slightly worse than a panel of multiple biomarkers, aligning with previous studies.Plasma biomarkers show potential for future applications in primary care, treatment monitoring, and trial selection.

淀粉样蛋白、tau蛋白、星形胶质增生和轴突损伤在混合记忆临床队列中的血浆生物标志物。
研究表明,血液生物标志物可以区分痴呆症。然而,痴呆症的诊断仍然主要依靠脑脊液和成像方式。新的疾病改善治疗需要更广泛应用的生物标志物。方法:选取两家混合记忆诊所的血浆样本(250例)。参与者被分为β淀粉样蛋白阳性(Aβ+)和β淀粉样蛋白阴性(Aβ-)。采用单分子阵列法测定血浆磷酸化tau (p-tau) 181、p-tau231、Aβ1-42 (Aβ42)、Aβ40、Aβ42/Aβ40、胶质纤维酸性蛋白(GFAP)和神经丝轻链(NfL)含量。结果:在认知未受损、轻度认知障碍、阿尔茨海默病(AD)和非AD之间发现了显著差异,几乎所有的生物标志物都能够预测淀粉样蛋白状态。当p-tau181和p-tau231结合使用时,他们预测Aβ阳性,曲线下面积(AUC)为0.75,当结合所有生物标志物时,AUC为0.86。讨论:这项研究支持了先前关于血浆生物标志物的发现,即使是在一个连续的、异质的、混合记忆临床的典型临床环境中进行调查。本研究在混合记忆临床中调查了七种血浆生物标志物,不考虑淀粉样蛋白共病理或非典型表型。这些发现支持了之前关于血浆生物标志物的有希望的结果,即使是在异质人群中进行研究。磷酸化tau (p-tau)181和p-231的组合仅比一组多种生物标志物的表现略差,与先前的研究一致。血浆生物标志物在初级保健、治疗监测和试验选择方面具有潜在的应用前景。
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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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