Lu Yanjing, Shen Rong, Zhu Hao, Feng Qian, Li Yifan, Xu Wenxin, Zhang Dayong, Zhao Zhong, Zhou Hua
Department of Neurology, Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China.
Department of Neurology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215000, China.
Curr Neurovasc Res. 2022;19(5):449-461. doi: 10.2174/1567202620666221103122109.
Depressive symptoms are one of the main clinical features of the cerebral small-vessel disease (CSVD). However, the pathogenesis of depressive symptoms of CSVD has not been fully studied, and a lack of effective diagnostic methodseffective diagnostic methods exists. Recently, the emerging body of evidence regarding exosomes has rendered them potentially key players in the neuropsychiatric disease theragnostic. This study's aim was to investigate serumexosome proteomic expression in CSVD patients with depressive symptoms and to screen and analyze potential biomarkers for clinical diagnosis.
Serum samples were collected from 36 CSVD patients, including 18 cerebral small-vessel disease (CSVD+D) patients with depressive clinical manifestations and 18 cerebral small-vessel disease patients that did not present depression-related clinical manifestations (CSVD-D). This investigation employed tandem mass tag (TMT) combined with mass spectrometry for sample detection and quantitative analysis of proteins. The differential proteins with significant dysregulated expression levels in patient plasma exosomes were screened and analyzed through bioinformatics techniques.
This investigation focused on a global collection of 659 quantifiable proteins. Compared to the CSVD-D group, 7 up-regulated and 30 down-regulated proteins were identified in the CSVD+D group (P < 0.05). Gene ontology (GO) enrichment analyses revealed proteomic expression profile dysregulations within serum exosomes in patients with depression, such as desmosomes and keratins, rendering them as potential biomarkers. Kyoto encyclopedia of genes and genomes (KEGG) database investigations revealed the differentially expressed proteins to be highly aggregated within the estrogen signaling pathway.
This investigation pioneered TMT proteomic evaluation of serum exosomes within CSVD patients suffering from depression and reveals the shifts in proteomic expression profiles by serum exosomes within such patients. This study identified several important molecular / signal pathway abnormalities related to depression. These results provide a possible means to further clarify the pathogenesis of depressive symptoms of cerebrovascular disease and its diagnosis and treatment in the future.
抑郁症状是脑小血管病(CSVD)的主要临床特征之一。然而,CSVD抑郁症状的发病机制尚未得到充分研究,且缺乏有效的诊断方法。最近,有关外泌体的新证据表明它们可能是神经精神疾病诊疗的关键因素。本研究旨在调查有抑郁症状的CSVD患者血清外泌体蛋白质组表达情况,并筛选和分析潜在的临床诊断生物标志物。
收集36例CSVD患者的血清样本,其中18例有抑郁临床表现的脑小血管病(CSVD+D)患者和18例无抑郁相关临床表现的脑小血管病患者(CSVD-D)。本研究采用串联质谱标签(TMT)结合质谱对样本进行蛋白质检测和定量分析。通过生物信息学技术筛选和分析患者血浆外泌体中表达水平显著失调的差异蛋白。
本研究共收集到659种可定量蛋白质。与CSVD-D组相比,CSVD+D组中鉴定出7种上调蛋白和30种下调蛋白(P<0.05)。基因本体(GO)富集分析显示,抑郁症患者血清外泌体中的蛋白质组表达谱失调,如桥粒和角蛋白,使其成为潜在的生物标志物。京都基因与基因组百科全书(KEGG)数据库研究显示,差异表达蛋白在雌激素信号通路中高度聚集。
本研究首次对患有抑郁症的CSVD患者血清外泌体进行TMT蛋白质组学评估,揭示了此类患者血清外泌体蛋白质组表达谱的变化。本研究确定了一些与抑郁症相关的重要分子/信号通路异常。这些结果为进一步阐明脑血管病抑郁症状的发病机制及其未来的诊断和治疗提供了一种可能的方法。