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识别帕金森病相关认知障碍和抑郁症中的免疫反应蛋白生物标志物。

Identifying Immune Response Protein Biomarkers in Parkinson's-Related Cognitive Impairment and Depression.

作者信息

Su Qiaozhen, Lu Ting, Xu Yan, Li Zhe, Liang Hongfeng, Zheng Chunye, Li Kunhong, Ye Linshuang, Ren Zhixuan, Hu Dafeng, Huang Yan, Zhu Lihua, Chung Sookja Kim, Li Yan, Sun Jingbo, Cheng Xiao

机构信息

Department of Neurology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, 510120, China.

The Second School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.

出版信息

Mol Neurobiol. 2025 May 7. doi: 10.1007/s12035-025-05022-0.

Abstract

A distinct immune microenvironment may develop in patients with Parkinson's disease (PD), influenced by the severity of cognitive impairment and the presence of depression. We aimed to identify blood-based immune response markers in patients with PD using a proximity extension assay (PEA). Peripheral plasma samples from 58 patients with PD and 30 healthy controls (HCs) were analyzed for 92 immune response-associated proteins using Olink's PEA technology. A panel of four proteins (SIT1, CLEC4C, EIF5A, and NFATC3) was identified, effectively differentiating patients with PD from HCs, with a combined area under the receiver operating characteristic (ROC) curve of 0.863. Among these, ITGA11 and EIF5A were particularly associated with the degree of cognitive impairment. After applying Bonferroni correction, five proteins-PPP1R9B, MILR1, BTN3A2, IRAK1, and TANK-demonstrated potentially significant differences between depressed and non-depressed patients with PD-cognitively normal (PD-CN). In the correlation analyses, PPP1R9B exhibited a positive correlation with the Hamilton Depression Rating Scale (HAMD) score (r = 0.509, P = 0.019). Furthermore, after adjusting for potential confounding factors in binary logistic regression analysis, PPP1R9B remained significantly associated with depression (P = 0.042). We identified potential blood-based immune response markers associated with the severity of cognitive impairment and depression in patients with PD. These findings provide preliminary insights into the immune-related pathology underlying non-motor symptoms of PD, potentially guiding future studies aimed at targeted therapeutic strategies. Further validation in larger, independent cohorts is warranted to confirm these associations and their clinical utility.

摘要

帕金森病(PD)患者可能会形成独特的免疫微环境,该环境受认知障碍严重程度和抑郁症的影响。我们旨在使用邻位延伸分析(PEA)确定PD患者基于血液的免疫反应标志物。使用Olink的PEA技术对58例PD患者和30名健康对照(HC)的外周血浆样本进行了92种免疫反应相关蛋白的分析。确定了一组四种蛋白质(SIT1、CLEC4C、EIF5A和NFATC3),可有效区分PD患者和HC,其受试者操作特征(ROC)曲线下的组合面积为0.863。其中,ITGA11和EIF5A与认知障碍程度特别相关。应用Bonferroni校正后,五种蛋白质——PPP1R9B、MILR1、BTN3A2、IRAK1和TANK——在认知正常的PD(PD-CN)抑郁和非抑郁患者之间显示出潜在的显著差异。在相关性分析中,PPP1R9B与汉密尔顿抑郁量表(HAMD)评分呈正相关(r = 0.509,P = 0.019)。此外,在二元逻辑回归分析中调整潜在混杂因素后,PPP1R9B仍与抑郁症显著相关(P = 0.042)。我们确定了与PD患者认知障碍和抑郁症严重程度相关的潜在基于血液的免疫反应标志物。这些发现为PD非运动症状的免疫相关病理学提供了初步见解,可能为未来旨在制定靶向治疗策略的研究提供指导。有必要在更大的独立队列中进行进一步验证,以确认这些关联及其临床效用。

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