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用于揭示CBL是帕金森病潜在诊断生物标志物及相关免疫浸润的综合生物信息学分析

Integrated Bioinformatics Analysis for Revealing CBL is a Potential Diagnosing Biomarker and Related Immune Infiltration in Parkinson's Disease.

作者信息

Chen Yanchen, Tu Yuqin, Yan Guiling, Ji Xinyao, Chen Shu, Niu Changchun, Liao Pu

机构信息

Department of Laboratory Medicine, North Sichuan Medical College, Nanchong, People's Republic of China.

Department of Clinical Laboratory, Chongqing General Hospital, Chongqing, People's Republic of China.

出版信息

Int J Gen Med. 2024 May 22;17:2371-2386. doi: 10.2147/IJGM.S456942. eCollection 2024.

DOI:10.2147/IJGM.S456942
PMID:38799203
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11128229/
Abstract

PURPOSE

There is growing evidence that the immune system plays an important role in the progression of Parkinson's disease, the second most common neurodegenerative disorder. This study aims to address the comprehensive understanding of the immunopathogenesis of Parkinson's disease and explore new inflammatory biomarkers.

PATIENTS AND METHODS

In this study, Immune-related differential expressed genes (DEIRGs) were obtained from GEO database and Immport database. The hub gene was screened in DEIRGs using LASSO regression and random forest algorithm, and the mRNA expression of the identified hub gene was validated using clinical blood samples.

RESULTS

We obtained a total of 157 DEIRGs that played an important role in the immune response. The results of immune cell infiltration analysis showed that the degree of memory B cells infiltration was higher in PD patients, while the degree of Monocytes, resting mast cells and M0 macrophages infiltration was lower (p<0.05). A total of 8 hub genes were screened by machine learning methods, and RT-PCR results showed that the expression level of CBL gene in PD was significantly increased (p<0.05).

CONCLUSION

Our findings suggest that CBL is a new potential diagnostic biomarker for PD and that abnormal immune cell infiltration may influence PD development.

摘要

目的

越来越多的证据表明，免疫系统在帕金森病（第二常见的神经退行性疾病）的进展中起重要作用。本研究旨在全面了解帕金森病的免疫发病机制，并探索新的炎症生物标志物。

患者与方法

在本研究中，从基因表达综合数据库（GEO数据库）和免疫数据库（Immport数据库）中获取免疫相关差异表达基因（DEIRGs）。使用套索回归和随机森林算法在DEIRGs中筛选枢纽基因，并使用临床血液样本验证所鉴定枢纽基因的mRNA表达。

结果

我们共获得了157个在免疫反应中起重要作用的DEIRGs。免疫细胞浸润分析结果显示，帕金森病患者中记忆B细胞浸润程度较高，而单核细胞、静息肥大细胞和M0巨噬细胞浸润程度较低（p<0.05）。通过机器学习方法共筛选出8个枢纽基因，逆转录-聚合酶链反应（RT-PCR）结果显示，帕金森病患者中CBL基因的表达水平显著升高（p<0.05）。

结论

我们的研究结果表明，CBL是帕金森病一种新的潜在诊断生物标志物，免疫细胞浸润异常可能影响帕金森病的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/a6b18b2e7c9e/IJGM-17-2371-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/8cf4f749e81e/IJGM-17-2371-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/0bcd512eb38e/IJGM-17-2371-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/a8de12d2734f/IJGM-17-2371-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/66d7477c309a/IJGM-17-2371-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/1eec856ce93a/IJGM-17-2371-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/b24bd1bb9465/IJGM-17-2371-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/21a7145572e9/IJGM-17-2371-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/a6b18b2e7c9e/IJGM-17-2371-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/8cf4f749e81e/IJGM-17-2371-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/0bcd512eb38e/IJGM-17-2371-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/a8de12d2734f/IJGM-17-2371-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/66d7477c309a/IJGM-17-2371-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/1eec856ce93a/IJGM-17-2371-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/b24bd1bb9465/IJGM-17-2371-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/21a7145572e9/IJGM-17-2371-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11128229/a6b18b2e7c9e/IJGM-17-2371-g0008.jpg

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