Discovery of plasma biomarkers related to blood-brain barrier dysregulation in Alzheimer's disease.

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Frontiers in bioinformatics Pub Date : 2024-10-04 eCollection Date: 2024-01-01 DOI:10.3389/fbinf.2024.1463001
Yuet Ruh Dan, Keng-Hwee Chiam
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Abstract

Introduction: Blood-based biomarkers are quantitative, non-invasive diagnostic tools. This study aimed to identify candidate biomarkers for Alzheimer's disease (AD) using publicly available omics datasets, using the hypothesis that with blood-brain barrier dysfunction in AD, brain-synthesized proteins can leak into plasma for detection.

Methods: Differential abundance results of plasma and brain proteomic datasets were integrated to obtain a list of potential biomarkers. Biological validity was investigated with intercellular communication and gene regulatory analyses on brain single-cell transcriptomics data.

Results: Five proteins (APOD, B2M, CFH, CLU, and C3) fit biomarker criteria. 4 corresponding transcripts (APOD, B2M, CLU, and C3) were overexpressed in AD astrocytes, mediated by AD-related dysregulations in transcription factors regulating neuroinflammation. Additionally, CLU specifically induced downstream expression of neuronal death genes.

Discussion: In conclusion, a 5-protein panel is shown to effectively identify AD patients, with evidence of disease specificity and biological validity. Future research should investigate the mechanism of protein leakage through the blood-brain barrier.

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发现与阿尔茨海默病血脑屏障失调有关的血浆生物标志物。
简介基于血液的生物标记物是一种定量、非侵入性的诊断工具。本研究的目的是利用公开的全息数据集确定阿尔茨海默病(AD)的候选生物标志物,其假设是随着AD患者血脑屏障功能障碍,大脑合成的蛋白质会渗入血浆以供检测:方法:整合血浆和大脑蛋白质组数据集的丰度差异结果,得出潜在生物标记物列表。通过对脑单细胞转录组学数据进行细胞间通讯和基因调控分析,研究其生物学有效性:结果:5种蛋白质(APOD、B2M、CFH、CLU和C3)符合生物标记物标准。4种相应的转录本(APOD、B2M、CLU和C3)在AD星形胶质细胞中过度表达,这是由与AD相关的调节神经炎症的转录因子失调介导的。此外,CLU还能特异性诱导神经元死亡基因的下游表达:总之,5种蛋白面板可有效识别AD患者,并证明了疾病特异性和生物学有效性。未来的研究应探讨蛋白质通过血脑屏障渗漏的机制。
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Quantification of muscle fiber malformations using edge detection to investigate chronic muscle pressure ulcers. Computational identification and characterization of chitinase 1 and chitinase 2 from neotropical isolates of Beauveria bassiana. DCMA: faster protein backbone dihedral angle prediction using a dilated convolutional attention-based neural network. Identification of novel drug targets for Helicobacter pylori: structure-based virtual screening of potential inhibitors against DAH7PS protein involved in the shikimate pathway. Editorial: Women in bioinformatics.
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