南亚临床队列中基于液体的非淀粉样生物标志物对阿尔茨海默病和相关痴呆的诊断价值

IF 4 Q1 CLINICAL NEUROLOGY
Faheem Arshad, M M Samim, Paras Rohidas Borse, Ravi G Shankar, R Bharath, B H Gagantej, Pooja Mailankody, Subasree Ramakrishnan, Sarada Subramanian, Suvarna Alladi
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引用次数: 0

摘要

南亚人痴呆症负担的增加和对液体生物标志物的有限了解突出了本研究的目的,即评估它们在阿尔茨海默病和相关痴呆(ADRD)诊断中的效用。方法:从印度一家认知障碍诊所招募患有ADRD的参与者。我们使用标准测试进行认知评估和严重程度评估。使用Simoa HD分析仪定量血清和脑脊液(CSF)中胶质纤维酸性蛋白(GFAP)、神经丝轻链(NfL)、总tau蛋白和泛素c端水解酶L1 (UCHL1)的水平。结果:在101名参与者中,痴呆参与者(n = 70)的血清GFAP和NfL水平显著高于对照组。血清生物标志物与其相应的CSF水平显著相关。阿尔茨海默病患者血清和脑脊液GFAP与脑脊液NfL呈显著相关(ρ = 0.492, 0.664),额颞叶痴呆患者血清和脑脊液NfL呈显著相关(ρ = 0.727)。血清GFAP、NfL和UCHL1具有较高的诊断准确性(曲线下面积= 0.765-0.806)。讨论:我们的研究结果强调了液体生物标志物在南亚低资源环境中诊断痴呆的作用。重点:痴呆患者血清胶质纤维酸性蛋白(GFAP)和神经丝轻链(NfL)水平显著高于健康对照组。血清和脑脊液GFAP、NfL和总tau水平之间存在显著相关性,独立于基线人口统计学或合并症,表明它们在临床实践中的潜在作用。血清生物标志物水平与痴呆的严重程度相关。这是在资源有限的南亚队列中对阿尔茨海默病和相关痴呆的不同队列中基于液体的生物标志物进行的为数不多的研究之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic value of fluid-based non-amyloid biomarkers for Alzheimer's disease and related dementias in a clinic-based cohort from South Asia.

Introduction: The rising dementia burden and limited knowledge of fluid biomarkers in South Asians highlights this study's aim on evaluating their utility for the diagnosis of Alzheimer's disease and related dementias (ADRD).

Methods: Participants with ADRD were recruited from a cognitive disorders clinic in India. We performed cognitive assessments and severity evaluations using standard tests. Serum and cerebrospinal fluid (CSF) levels of glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), total tau, and ubiquitin C-terminal hydrolase L1 (UCHL1) were quantified using a Simoa HD analyzer.

Results: Among the 101 participants, serum GFAP and NfL levels were significantly greater in dementia participants (n = 70) than controls. Serum biomarkers significantly correlated with their corresponding CSF levels. Significant correlations were noted for serum and CSF GFAP and NfL in Alzheimer's disease (ρ = 0.492, 0.664) and between serum and CSF NfL in frontotemporal dementia (ρ = 0.727). Serum GFAP, NfL, and UCHL1 demonstrated high diagnostic accuracy (area under the curve = 0.765-0.806).

Discussion: Our results emphasize the role of fluid biomarkers in diagnosing dementia in low-resource settings in South Asians.

Highlights: Serum glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) levels were significantly greater in patients with dementia than in healthy controls.Significant correlation was observed between the serum and cerebrospinal fluid levels of GFAP, NfL, and total tau independent of the baseline demographics or co-morbidities, indicating their potential role in clinical practice.Serum biomarker levels were related to the severity of dementia.This is one of few studies on fluid-based biomarkers in diverse cohorts with Alzheimer's disease and related dementias in the South Asian cohort with limited resources.

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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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