Evidence map›Paper›PMID 39826045›Full record

ArticleClinical rheumatology2025

Molecular mechanism of osteoclast differentiation of PBMC in patients with rheumatoid arthritis.

Ying Huang, Taiheng Li, Yang An, Daomin Lu, Weiya Lan, Ping Zeng, Long Li, Wukai Ma

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Article in Clinical rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Ying HuangGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
Taiheng LiGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
Yang AnGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
Daomin LuGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
Weiya LanGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
Ping ZengGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
Long LiDepartment of Rheumatology and Immunology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China. gzyxyll@medmail.com.cn.
Wukai MaGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China. fsmymwk@163.com.ORCID http://orcid.org/0000-0002-6214-1314

Funding

Collaborative Innovation Center for Modern Science and Technology and Industrial Development of Jiangxi Traditional Medicine Guizhou University of Traditional Chinese Medicine TD NO.[2022]004Guizhou Province Science and technology plan project Qian Ke He basis ZK [2021]general 429National Natural Science Foundation of China 81960909National Natural Science Foundation of China 82060909
6 · The paper itself

Abstract

objectiveRheumatoid 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.

methodsBlood 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.

resultsTRAP 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.

conclusionsOsteoclast 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.

Indexed as

Arthritis, RheumatoidCell DifferentiationLeukocytes, MononuclearOsteoclastsAdultAgedComputational BiologyFemaleGene Expression ProfilingHumansMaleMiddle AgedTranscriptomeOsteoblasts; PBMC; Rheumatoid arthritis; Transcriptome sequencing

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.