免疫系统
溶酶体
疾病
外围设备
转录组
病态的
外周血
医学
阿尔茨海默病
生物标志物
小胶质细胞
诊断生物标志物
神经科学
生物
生物信息学
免疫学
病理
基因
炎症
内科学
基因表达
遗传学
酶
生物化学
作者
Hang Yu,Fangzhou Wang,Jiajun Wu,Jianping Gong,Shuguang Bi,Yumin Mao,Deli Jia,Gaoshang Chai
摘要
Abstract Background The systematic molecular associations between the peripheral blood cells and brain in Alzheimer's disease (AD) remains unclear, which hinders our understanding of AD pathological mechanisms and the exploration of new diagnostic biomarkers. Methods Here, we performed an integrated analysis of the brain and peripheral blood cells transcriptomics to establish peripheral biomarkers of AD. By employing multiple statistical analyses plus machine learning, we identified and validated multiple regulated central and peripheral network in patients with AD. Results By bioinformatics analysis, a total of 243 genes were differentially expressed in the central and peripheral systems, mainly enriched in three modules: immune response, glucose metabolism and lysosome. In addition, lysosome related gene ATP6V1E1 and immune response related genes (IL2RG, OSM, EVI2B TNFRSF1A, CXCR4, STAT5A) were significantly correlated with Aβ or Tau pathology. Finally, receiver operating characteristic (ROC) analysis revealed that ATP6V1E1 showed high‐diagnostic potential for AD. Conclusion Taken together, our data identified the main pathological pathways in AD progression, particularly the systemic dysregulation of the immune response, and provided peripheral biomarkers for AD diagnosis.
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