[1]高一诚,张广智,解琪琪,等.CD8+T细胞、滤泡辅助性T细胞和浆细胞浸润在椎间盘退变中的生物信息学分析[J].中华老年骨科与康复电子杂志,2021,(04):193-200.[doi:10.3877/cma.j.issn.2096-0263.2021.04.001]
　Gao Yicheng,Zhang Guangzhi,et al.Bioinformatics analysis of CD8+ T cells, follicular helper T cells and plasma cells infiltration in intervertebral disc degeneration[J].Chin J Geriatr Orthop Rehabil(Electronic Edition),2021,(04):193-200.[doi:10.3877/cma.j.issn.2096-0263.2021.04.001]
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CD8+T细胞、滤泡辅助性T细胞和浆细胞浸润在椎间盘退变中的生物信息学分析()
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中华老年骨科与康复电子杂志[ISSN:1674-3911/CN:11-9292/R]

卷:
期数:
2021年04期
页码:
193-200
栏目:
基础研究
出版日期:
2021-08-05

文章信息/Info

Title:
Bioinformatics analysis of CD8+ T cells, follicular helper T cells and plasma cells infiltration in intervertebral disc degeneration
作者:
高一诚1; 2; 张广智1; 2; 解琪琪1; 2; 邓亚军1; 2; 任恩惠1; 2; 武作龙1; 2; 贺学岗1; 2; 康学文1; 2
730030 兰州大学第二医院骨科1；730030 甘肃省骨关节疾病研究重点实验室2
Author(s):
Gao Yicheng1;  2;  Zhang Guangzhi1;  2;  Xie Qiqi1;  2;  Deng Yajun1;  2;  Ren Enhui1;  2;  Wu Zuolong1;  2;  He Xuegang1;  2;  Kang Xuewen1;  2.
1Department of Orthopaedics, Lanzhou University Second Hospital, Lanzhou 730030, China; 2Key Laboratory of Osteoarthritis of Gansu Province, Lanzhou 730030, China
关键词:
椎间盘退变;  CD8+T细胞;  滤泡辅助性T细胞;  浆细胞;  CIBERSORT
Keywords:
Intervertebral disc degeneration;  CD8+ T cells;  Follicular helper T cells;  Plasma cells;  CIBERSORT
DOI:
10.3877/cma.j.issn.2096-0263.2021.04.001
文献标志码:
A
摘要:
目的 筛选椎间盘退变（IDD）组织与非退变组织间的关键（hub）基因，并进一步分析IDD组织中免疫细胞浸润情况。方法 从GEO数据库下载IDD表达谱芯片数据集，利用R软件筛选退变组织与非退变组织中的差异表达基因 （DEGs），然后构建蛋白质-蛋白质相互作用网络（PPI），筛选出hub基因。最后首次利用科学的反卷积算法（CIBERSORT）分析IDD组织中免疫细胞的浸润情况，以揭示免疫细胞浸润在IDD中的作用。结果 共筛选出166个 DEGs和10个hub基因。免疫细胞浸润分析发现，IDD组织中单核细胞与调节性T细胞正相关，嗜酸性粒细胞与单核细胞和调节性T细胞负相关；CD8+T细胞、滤泡辅助性T细胞在IDD组织中浸润较少，而浆细胞在IDD组织中浸润则相对较多；静止期树突状细胞、浆细胞、静止期NK细胞调节性T细胞与其他免疫细胞互作较强，而滤泡辅助性T细胞、M2型巨噬细胞与幼稚性B细胞与其它免疫细胞互作较弱。结论 本结果揭示了IDD中的hub基因，进一步免疫细胞浸润分析表明，CD8+T细胞、滤泡辅助性T细胞和浆细胞与IDD发生发展密切相关，为进一步探讨IDD的分子机制提供新思路。
Abstract:
Objective To screen the key genes of intervertebral disc degeneration (IDD) tissues and non-degeneration tissues, and to further analyze the infiltration of immune cells. Methods Download the IDD expression profile chip dataset from the GEO database, and use R software to screen differentially expressed genes (DEGs) in degenerate and non-degenerate tissues, and then construct a protein-protein interaction network (PPI). Screen out the hub gene. Finally, for the first time, a scientific deconvolution algorithm (CIBERSORT) was used to analyze the infiltration of immune cells in IDD tissues to reveal the role of immune cell infiltration in IDD. Results A total of 166 DEGs and 10 hub genes were screened. Immune cell infiltration analysis found that monocytes in IDD tissues were positively correlated with T cells regulatory, and eosinophils were negatively correlated with monocytes and T cells regulatory; CD8+T cells and follicular helper T cells were less infiltrated in IDD. while plasma cells are more infiltrated in IDD tissues; dendritic cells resting, plasma cells, NK cells resting and T cells regulatory interact strongly with other immune cells. T cells follicular helper, Macrophages M2, and B cells na?ve assist weak interaction with other immune cells. Conclusions Our results reveal the hub gene in IDD and immune cell infiltration analysis shows that CD8+T cells, follicular helper T cells, and plasma cells are closely related to the development of IDD. To provide a new idea for further exploring the molecular mechanism of IDD.

相似文献/References:

[1]吴卫卫,曹建业,董利薇,等.超声波联合悬吊治疗腰椎间盘突出症的临床疗效对比分析[J].中华老年骨科与康复电子杂志,2020,(05):291.[doi:10.3877/cma.j.issn.2096-0263.2020.05.008]
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备注/Memo

备注/Memo:
基金项目：脊柱疾患疼痛机制研究及治疗甘肃省国际科技合作基地（甘科外[2017]2号-34）；兰州大学创新创业培育项目（cxcy201906）；兰州大学第二医院 2019 年博士研究生培养专项基金项目（YJS-BD-09）
更新日期/Last Update: 2021-08-24