Identification of biomarkers of Alzheimer's disease and their characterization of immune function

IF 4.7 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-06-07 DOI:10.5114/aoms/188721

Mingkai Lin, Yue Zhou, Peixian Liang, Ruoyi Zheng, Minwei Du, Xintong Ke, Wenjing Zhang, Pei Shang

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Abstract

Alzheimer's disease (AD) is a neurodegenerative disease with neurogenic fiber tangles caused by amyloid-β protein plaques and tau protein hyperphosphorylation as the pathological manifestations. This study was based on multi-omics to investigate the mechanisms and immune characterization of AD.Based on bulk RNA-seq (GSE122063 and GSE97760), we screened potential biomarkers for AD by differential expression analysis and machine learning algorithms. Then, we elaborated the expression characteristics and immune functions of the above biomarkers by scRNA-seq (single-cell RNA sequencing) data analysis (GSM4996463 and GSM4996462) and immune infiltration analysis.Five biomarkers (RBM3, GOLGA8A, ALS2, FSD2, and LOC100287628) were identified using machine learning algorithms. Single-cell analysis revealed distinct expression patterns of these biomarkers in astrocytes from AD samples compared to normal samples. Additionally, three key biomarkers were selected based on interaction networks, and the diagnostic models indicated high diagnostic efficacy for these biomarkers. Based on immune infiltration and correlation analyses, RBM3, GOLGA8A, and ALS2 were all highly correlated with CD8 T cell content in the immune microenvironment of AD.The biomarkers identified in this study demonstrate significant diagnostic potential for AD. Notably, the downregulation of RBM3 in astrocytes and the decreased presence of CD8 T cells infiltrating brain tissue are potential risk factors for AD.

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阿尔茨海默病生物标志物的鉴定及其免疫功能的表征

阿尔茨海默病（AD）是一种神经退行性疾病，以淀粉样β蛋白斑块和tau蛋白高磷酸化引起的神经原纤维缠结为病理表现。本研究以多组学为基础，研究AD的发病机制和免疫特征。基于批量RNA-seq（GSE122063和GSE97760），我们通过差异表达分析和机器学习算法筛选出AD的潜在生物标志物。然后，我们通过scRNA-seq（单细胞RNA测序）数据分析（GSM4996463和GSM4996462）和免疫浸润分析阐述了上述生物标记物的表达特征和免疫功能。单细胞分析显示，与正常样本相比，这些生物标记物在AD样本的星形胶质细胞中的表达模式截然不同。此外，还根据相互作用网络筛选出了三个关键生物标志物，诊断模型显示这些生物标志物具有很高的诊断效力。根据免疫浸润和相关性分析，RBM3、GOLGA8A 和 ALS2 都与 AD 免疫微环境中 CD8 T 细胞的含量高度相关。值得注意的是，RBM3在星形胶质细胞中的下调和浸润脑组织的CD8 T细胞的减少是AD的潜在风险因素。

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来源期刊

ACS Applied Electronic Materials Multiple-

CiteScore

7.20

自引率

4.30%

发文量

567

期刊介绍： ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/Abstracted： Web of Science SCIE Scopus CAS INSPEC Portico

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