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pmid:41408107

Celastrol suppresses bone destruction in rheumatoid arthritis by inhibiting ALOX5 expression in macrophages via the NF-κB pathway.

YiQing Chen · Zihan Wang · YanYu Chen · XiaoJing Liu · LongXiao Liu · ZhiKun Tu · Qingwen Tao · Yuan Xu

Scientific reports · 2025 doi:10.1038/s41598-025-33001-x

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:41408107
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2026-11-01T20:31:24Z
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title
Celastrol suppresses bone destruction in rheumatoid arthritis by inhibiting ALOX5 expression in macrophages via the NF-κB pathway.
doi
10.1038/s41598-025-33001-x
pmid
41408107
authors array · 8 items
[0]
YiQing Chen
[1]
Zihan Wang
[2]
YanYu Chen
[3]
XiaoJing Liu
[4]
LongXiao Liu
[5]
ZhiKun Tu
[6]
Qingwen Tao
[7]
Yuan Xu
journal
Scientific reports
year
2025
abstract
Rheumatoid arthritis (RA) is a complex and highly disabling chronic autoimmune disease. As the disease progresses, patients often develop complications such as joint destruction and cardiovascular diseases, posing significant threats to human health. Celastrol, a major bioactive compound extracted from the traditional Chinese herb Tripterygium wilfordii Hook. f., exhibits potent immunomodulatory and anti-inflammatory properties. However, the specific mechanisms underlying its protective effects against bone destruction in RA remain poorly understood. To elucidate its potential therapeutic mechanisms, this study retrieved three gene expression datasets-GSE55235, GSE93777, and GSE200815-from the Gene Expression Omnibus (GEO) database. The primary molecular targets of celastrol were obtained from the HERB and TCMSP platforms. Functional mechanisms associated with these targets were explored using gene set variation analysis (GSVA) and weighted gene co-expression network analysis (WGCNA). Furthermore, molecular docking, immune infiltration analysis, and single-cell RNA sequencing analysis were employed to investigate the role of key target genes. In this study, thirteen potential target genes of celastrol in RA have been identified, including ADAMTS5, AGTR1, ALOX5, CTSB, MMP3, MMP9, MYC, TNF, ITGA4, ITGB7, MMP1, MMP13, and PPARG. Among these, ALOX5 was found to significantly promote MMP3 protein expression, based on which a regulatory model with high predictive power was constructed. GSVA analysis revealed that the TNF-NFκB pathway was significantly activated in RA and exhibited a strong positive correlation with ALOX5 expression. Further experimental analysis demonstrated that knockdown of ALOX5 and its shared transcription factor with MMP2 resulted in a significant downregulation of both genes and inhibition of TNF-NFκB pathway activity. Single-cell transcriptomic analysis showed that ALOX5 was predominantly expressed in macrophages, and the AddModuleScore of celastrol-targeted genes in this cell type was significantly higher than in other cell types, suggesting that macrophages may serve as key effector cells in celastrol-mediated treatment of RA. Celastrol might attenuate RA bone destruction by inhibiting the expression of the ALOX5 gene in macrophages, thereby suppressing the activation of the NF-κB pathway and subsequently reducing the production of matrix metalloproteinases.
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Subsequently, multiple linear regression models were developed based on the correlation analysis findings to assess the impact of different factors on MMP3 protein expression levels.
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sections[7] "Correlation analysis of key genes with clinical phenotypes" paragraph 2
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Subsequently, multiple linear regression models were developed based on the correlation analysis findings to assess the impact of different factors on MMP3 protein expression levels.
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sections[35] "notes" paragraph 1
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Data is provided within the manuscript or supplementary information files.
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In this study, thirteen potential target genes of celastrol in RA have been identified, including ADAMTS5, AGTR1, ALOX5, CTSB, MMP3, MMP9, MYC, TNF, ITGA4, ITGB7, MMP1, MMP13, and PPARG.
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sections[0] "Abstract" paragraph 1
quote
In this study, thirteen potential target genes of celastrol in RA have been identified, including ADAMTS5, AGTR1, ALOX5, CTSB, MMP3, MMP9, MYC, TNF, ITGA4, ITGB7, MMP1, MMP13, and PPARG.
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In this study, thirteen potential target genes of celastrol in RA have been identified, including ADAMTS5, AGTR1, ALOX5, CTSB, MMP3, MMP9, MYC, TNF, ITGA4, ITGB7, MMP1, MMP13, and PPARG.
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scRNAseq of RA and PsA patient synovial tissue single cell suspensions
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Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation
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Multi-omics monitoring of drug response in rheumatoid arthritis.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41408107", "kind": "science-record", "revision": 2, "content_hash": "sha256:fcba10a980ee0ee92284dfad0e808eab83dfb8b4e303f42cd4254b7ba4bda45d", "created_at": "2026-11-01T20:31:24Z", "updated_at": "2026-11-01T21:36:12Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Celastrol suppresses bone destruction in rheumatoid arthritis by inhibiting ALOX5 expression in macrophages via the NF-κB pathway.", "doi": "10.1038/s41598-025-33001-x", "pmid": "41408107", "authors": ["YiQing Chen", "Zihan Wang", "YanYu Chen", "XiaoJing Liu", "LongXiao Liu", "ZhiKun Tu", "Qingwen Tao", "Yuan Xu"], "journal": "Scientific reports", "year": 2025, "abstract": "Rheumatoid arthritis (RA) is a complex and highly disabling chronic autoimmune disease. As the disease progresses, patients often develop complications such as joint destruction and cardiovascular diseases, posing significant threats to human health. Celastrol, a major bioactive compound extracted from the traditional Chinese herb Tripterygium wilfordii Hook. f., exhibits potent immunomodulatory and anti-inflammatory properties. However, the specific mechanisms underlying its protective effects against bone destruction in RA remain poorly understood. To elucidate its potential therapeutic mechanisms, this study retrieved three gene expression datasets-GSE55235, GSE93777, and GSE200815-from the Gene Expression Omnibus (GEO) database. The primary molecular targets of celastrol were obtained from the HERB and TCMSP platforms. Functional mechanisms associated with these targets were explored using gene set variation analysis (GSVA) and weighted gene co-expression network analysis (WGCNA). Furthermore, molecular docking, immune infiltration analysis, and single-cell RNA sequencing analysis were employed to investigate the role of key target genes. In this study, thirteen potential target genes of celastrol in RA have been identified, including ADAMTS5, AGTR1, ALOX5, CTSB, MMP3, MMP9, MYC, TNF, ITGA4, ITGB7, MMP1, MMP13, and PPARG. Among these, ALOX5 was found to significantly promote MMP3 protein expression, based on which a regulatory model with high predictive power was constructed. GSVA analysis revealed that the TNF-NFκB pathway was significantly activated in RA and exhibited a strong positive correlation with ALOX5 expression. Further experimental analysis demonstrated that knockdown of ALOX5 and its shared transcription factor with MMP2 resulted in a significant downregulation of both genes and inhibition of TNF-NFκB pathway activity. Single-cell transcriptomic analysis showed that ALOX5 was predominantly expressed in macrophages, and the AddModuleScore of celastrol-targeted genes in this cell type was significantly higher than in other cell types, suggesting that macrophages may serve as key effector cells in celastrol-mediated treatment of RA. Celastrol might attenuate RA bone destruction by inhibiting the expression of the ALOX5 gene in macrophages, thereby suppressing the activation of the NF-κB pathway and subsequently reducing the production of matrix metalloproteinases.", "claims": [{"id": "claim-method", "statement": "Subsequently, multiple linear regression models were developed based on the correlation analysis findings to assess the impact of different factors on MMP3 protein expression levels.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41408107", "locator": "sections[7] \"Correlation analysis of key genes with clinical phenotypes\" paragraph 2", "quote": "Subsequently, multiple linear regression models were developed based on the correlation analysis findings to assess the impact of different factors on MMP3 protein expression levels."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data is provided within the manuscript or supplementary information files.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41408107", "locator": "sections[35] \"notes\" paragraph 1", "quote": "Data is provided within the manuscript or supplementary information files."}], "state": "complete"}, {"id": "claim-target-result", "statement": "In this study, thirteen potential target genes of celastrol in RA have been identified, including ADAMTS5, AGTR1, ALOX5, CTSB, MMP3, MMP9, MYC, TNF, ITGA4, ITGB7, MMP1, MMP13, and PPARG.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41408107", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "In this study, thirteen potential target genes of celastrol in RA have been identified, including ADAMTS5, AGTR1, ALOX5, CTSB, MMP3, MMP9, MYC, TNF, ITGA4, ITGB7, MMP1, MMP13, and PPARG."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "In this study, thirteen potential target genes of celastrol in RA have been identified, including ADAMTS5, AGTR1, ALOX5, CTSB, MMP3, MMP9, MYC, TNF, ITGA4, ITGB7, MMP1, MMP13, and PPARG.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:41408107"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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