Aβ-reactive T cell polyfunctionality response as a new biomarker for mild cognitive impairment.

IF 4 Q1 CLINICAL NEUROLOGY
Yen-Ling Chiu, Sui-Hing Yan, Yang-Teng Fan, Chiung-Fang Chang, Ruo-Wei Hung, Yi-Chien Liu, TienYu Owen Yang, Yi-Fang Chuang
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引用次数: 0

Abstract

Introduction: Alzheimer's disease (AD) involves neuroinflammation and amyloid plaque deposition, yet the role of amyloid-reactive immune response in neurodegeneration remains unclear. We investigate amyloid-reactive T cell levels in the Epidemiology of Mild Cognitive Impairment Study in Taiwan (EMCIT) and Taiwan Precision Medicine Initiative of Cognitive Impairment and Dementia (TPMIC) cohorts.

Method: Using diverse amyloid peptide formulations, we established a polyfunctionality assay for five T cell functions and compared mild cognitive impairment (MCI) patients to control subjects in both cohorts.

Results: In both cohorts, MCI individuals exhibit higher amyloid-reactive T cell responses than controls. In the TPMIC cohort, CD4+ and CD8+ total response frequencies are notably elevated in MCI (CD4: 1.3%, CD8: 1.91%) versus controls (CD4: 0.15%, CD8: 0.28%; both p < 0.001). Amyloid-reactive T cell response outperforms plasma phosphorylated tau 181 (p-tau181) in discriminating MCI (area under the receiver operating characteristic curve CD4+: 0.97; CD8+: 0.96; p-tau181: 0.72; both p < 0.001).

Discussion: Amyloid-reactive T cell polyfunctional response distinguishes MCI from normal aging and could serve as a novel MCI biomarker.

Highlights: Amyloid-reactive polyfunctional T cell responses can be detected in the peripheral circulation.Amyloid-reactive T cell response is significantly enhanced in individuals with mild cognitive impairment compared to age-matched, cognitively unimpaired individuals.The unique discriminative accuracy of amyloid-reactive T cell response is significantly higher than phosphorylated tau181 and is not a result of overall T cell hyperreactivity.Future studies are needed to determine the predictive role of amyloid-reactive T cell responses in disease progression and if the amyloid-reactive immune response could be a therapeutic target for the treatment of neurodegeneration.

a - β反应性T细胞多功能反应作为轻度认知障碍的新生物标志物。
阿尔茨海默病(AD)涉及神经炎症和淀粉样斑块沉积,但淀粉样反应性免疫反应在神经变性中的作用尚不清楚。我们在台湾轻度认知障碍流行病学研究(EMCIT)和台湾认知障碍和痴呆精准医学倡议(TPMIC)队列中研究淀粉样蛋白反应性T细胞水平。方法:使用不同的淀粉样肽制剂,我们建立了五种T细胞功能的多功能测定,并将轻度认知障碍(MCI)患者与两个队列中的对照组进行了比较。结果:在这两个队列中,MCI个体表现出比对照组更高的淀粉样蛋白反应性T细胞反应。在TPMIC队列中,MCI患者的CD4+和CD8+总应答频率(CD4: 1.3%, CD8: 1.91%)明显高于对照组(CD4: 0.15%, CD8: 0.28%;讨论:淀粉样蛋白反应性T细胞多功能反应将MCI与正常衰老区分开来,并可作为一种新的MCI生物标志物。重点:淀粉样蛋白反应性多功能T细胞反应可以在外周循环中检测到。与年龄匹配、认知功能正常的个体相比,轻度认知障碍个体的淀粉样蛋白反应性T细胞反应显著增强。淀粉样蛋白反应性T细胞反应的独特鉴别准确性明显高于磷酸化的tau181,并且不是整体T细胞高反应性的结果。未来的研究需要确定淀粉样蛋白反应性T细胞反应在疾病进展中的预测作用,以及淀粉样蛋白反应性免疫反应是否可以作为治疗神经变性的治疗靶点。
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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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