类风湿关节炎患者PBMC破骨细胞分化的分子机制。

IF 2.9 3区 医学 Q2 RHEUMATOLOGY
Ying Huang, Taiheng Li, Yang An, Daomin Lu, Weiya Lan, Ping Zeng, Long Li, Wukai Ma
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引用次数: 0

摘要

目的:类风湿性关节炎(RA)是一种自身免疫性疾病,可导致严重的关节畸形和功能受损,影响个体的健康和日常生活。因此,迫切需要确定治疗类风湿性关节炎的可行治疗靶点。本研究旨在通过转录组测序和生物信息学分析,探讨RA患者PBMC中破骨细胞分化的分子机制。方法:采集20例RA患者血液标本,其中女性15例,男性5例。采用密度梯度离心法分离外周血单个核细胞。用含有RANKL和M-CSF的培养基诱导破骨细胞分化14天,每2天更换一次培养基。14d后,通过TRAP染色鉴定破骨细胞,将多核TRAP阳性细胞计数为破骨细胞。随后,使用Illumina Novaseq 6000平台进行转录组测序,并使用r中的DESeq2包进行差异表达分析,选择差异表达基因,显著性阈值为p。结果:TRAP染色显示PBMCs成功诱导成破骨细胞。转录组测序显示,与对照组相比,诱导组中差异表达基因(DEGs)数量显著。氧化石墨烯分析表明,这些deg主要与趋化因子信号的传递、对生物体的反应和增强中性粒细胞驱动的防御机制相关的生物过程有关。KEGG分析显示,这些deg通过主要信号通路富集,包括细胞因子与其受体的相互作用、趋化因子信号通路、细胞周期调节、中性粒细胞胞外陷阱形成和TNF信号通路。结论:RA患者PBMC破骨细胞分化涉及多种基因改变、多种生物学过程和信号通路,揭示了RA患者PBMC破骨细胞分化的潜在机制。•诱导组与正常组共获得1841个deg。•这些deg参与了多种生物过程和信号通路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular mechanism of osteoclast differentiation of PBMC in patients with rheumatoid arthritis.

Objective: Rheumatoid arthritis (RA) is an autoimmune condition that causes severe joint deformities and impaired functionality, affecting the well-being and daily life of individuals. Consequently, there is a pressing demand for identifying viable therapeutic targets for treating RA. This study aimed to explore the molecular mechanisms of osteoclast differentiation in PBMC from patients with RA through transcriptome sequencing and bioinformatics analysis.

Methods: Blood samples were collected from 20 patients with RA, including 15 females and 5 males. Peripheral blood mononuclear cells (PBMCs) were isolated by density gradient centrifugation. Osteoclast differentiation was induced using a medium containing RANKL and M-CSF for 14 days, with medium changes every 2 days. After 14 days, osteoclasts were identified by TRAP staining, and multinucleated TRAP-positive cells were counted as osteoclasts. Subsequently, transcriptome sequencing was performed using the Illumina Novaseq 6000 platform, and differential expression analysis was conducted using the DESeq2 package in R. Differentially expressed genes were selected with a significance threshold of p < 0.05 and a fold change ≥ 2 (|Log2FC|≥ 1). Bioinformatics analysis was performed using R, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses.

Results: TRAP staining showed successful induction of PBMCs into osteoclasts. Transcriptome sequencing revealed a significant number of differentially expressed genes (DEGs) in the induced groups compared with the control group. GO analysis showed that these DEGs were predominantly associated with biological processes related to the transmission of chemokine signals, reactions to living organisms, and bolstering neutrophil-driven defense mechanisms. KEGG analysis showed that these DEGs were enriched by primary signaling pathways, including interactions between cytokines and their receptors, chemokine signaling pathway, cell cycle regulation, neutrophil extracellular trap formation, and TNF signaling pathway.

Conclusions: Osteoclast differentiation of PBMC from patients with RA involves various gene alterations, multiple biological processes, and signaling pathways, providing insight into the potential mechanism of PBMC osteoclast differentiation in RA. Key Points • A total of 1841 DEGs were obtained between the induced group and the normal group. • These DEGs were involved in multiple biological processes and signaling pathways.

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来源期刊
Clinical Rheumatology
Clinical Rheumatology 医学-风湿病学
CiteScore
6.90
自引率
2.90%
发文量
441
审稿时长
3 months
期刊介绍: Clinical Rheumatology is an international English-language journal devoted to publishing original clinical investigation and research in the general field of rheumatology with accent on clinical aspects at postgraduate level. The journal succeeds Acta Rheumatologica Belgica, originally founded in 1945 as the official journal of the Belgian Rheumatology Society. Clinical Rheumatology aims to cover all modern trends in clinical and experimental research as well as the management and evaluation of diagnostic and treatment procedures connected with the inflammatory, immunologic, metabolic, genetic and degenerative soft and hard connective tissue diseases.
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