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pmid:41488645

Serum CHI3L1 levels correlate with disease activity in rheumatoid arthritis and reveal potential molecular mechanisms.

Yi Deng · Dan Wang · Chao Wang · Kaiyun Guo · Ming Lei · Yanzhao Huang · Langui Tang · Ya Ding · Yan Gao

Frontiers in immunology · 2025 doi:10.3389/fimmu.2025.1729989

Paper

complete

Experiment

partial

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:41488645
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science-record
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2026-11-01T20:31:28Z
updated_at
2026-11-01T22:15:15Z
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paper object · 10 fields
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title
Serum CHI3L1 levels correlate with disease activity in rheumatoid arthritis and reveal potential molecular mechanisms.
doi
10.3389/fimmu.2025.1729989
pmid
41488645
authors array · 9 items
[0]
Yi Deng
[1]
Dan Wang
[2]
Chao Wang
[3]
Kaiyun Guo
[4]
Ming Lei
[5]
Yanzhao Huang
[6]
Langui Tang
[7]
Ya Ding
[8]
Yan Gao
journal
Frontiers in immunology
year
2025
abstract
Objective: This study aims to elucidate the molecular regulatory mechanisms of Chitinase-3-like protein 1 (CHI3L1) in rheumatoid arthritis (RA) and its association with disease activity, focusing on its translational potential in RA diagnosis, dynamic monitoring, and precision therapy. Methods: Transcriptomic datasets (GSE77298, GSE89408) and single-cell RNA-seq data (GSE200815) were obtained from Gene Expression Omnibus (GEO). CHI3L1 expression was analyzed by Wilcoxon test, and diagnostic accuracy by Receiver Operating Characteristic (ROC) curve. Single-cell analysis defined cell type-specific expression of CHI3L1. Differential analysis combined with weighted gene co-expression network analysis (WGCNA) identified CHI3L1-related genes, followed by protein-protein interaction (PPI) and enrichment analyses. Immune infiltration was estimated with CIBERSORT, and competing endogenous RNA (ceRNA)/transcription factor networks were constructed to explore upstream regulation. Drug databases and molecular docking were integrated to predict therapeutic candidates. Clinically, serum CHI3L1 was measured by chemiluminescence immunoassay (CLIA) in RA patients (n=102) and controls (n=79), stratified by 28-joint Disease Activity Score with erythrocyte sedimentation rate (DAS28-ESR), and correlated with C-reactive protein (CRP), rheumatoid factor (RF), anti-cyclic citrullinated peptide antibody (CCP), and ESR. Results: CHI3L1 expression was significantly higher in RA across datasets (P<0.01) with strong diagnostic performance (AUC>0.8). Single-cell analysis revealed predominant fibroblast expression. Integrated analysis identified 51 candidate genes, enriched in chemokine signaling and mineral absorption pathways. PPI analysis highlighted TIMP1 and AQP9 as key genes, both strongly correlated with CHI3L1 (r>0, P<0.001). Immune infiltration showed increased M0 macrophages and plasma cells, reduced regulatory T cells, and significant correlations with CHI3L1. The ceRNA network indicated involvement of multiple miRNAs and lncRNAs. Drug prediction identified glibenclamide with the lowest binding energy (-9.386 kcal/mol). Clinically, serum CHI3L1 was markedly elevated in RA (P<0.001) with excellent diagnostic accuracy (AUC = 0.907). Higher CHI3L1 levels were observed in high-activity patients (P<0.01). CHI3L1 correlated with CRP (r=0.40, P<0.001), ESR (r=0.35, P<0.001), and moderately with CCP (r=0.21, P<0.05). Conclusion: This exploratory study suggests that CHI3L1 is a fibroblast-enriched molecule closely associated with immune dysregulation and RA activity, showing promise as a diagnostic and monitoring biomarker and a potential therapeutic target, though further validation through functional experiments and prospective studies is warranted.
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Based on the transcriptomic datasets GSE77298 and GSE89408, the Wilcoxon rank-sum test was applied to perform nonparametric analysis of CHI3L1 expression between the RA and normal control (NC) groups.
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sections[5] "Transcriptomic analysis of CHI3L1 expression and diagnostic efficacy in RA" paragraph 2
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Based on the transcriptomic datasets GSE77298 and GSE89408, the Wilcoxon rank-sum test was applied to perform nonparametric analysis of CHI3L1 expression between the RA and normal control (NC) groups.
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The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
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CHI3L1 expression was significantly higher in RA across datasets (P<0.01) with strong diagnostic performance (AUC>0.8).
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CHI3L1 expression was significantly higher in RA across datasets (P<0.01) with strong diagnostic performance (AUC>0.8).
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CHI3L1 expression was significantly higher in RA across datasets (P<0.01) with strong diagnostic performance (AUC>0.8).
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CHI3L1 expression was significantly higher in RA across datasets (P<0.01) with strong diagnostic performance (AUC>0.8).
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Based on the transcriptomic datasets GSE77298 and GSE89408, the Wilcoxon rank-sum test was applied to perform nonparametric analysis of CHI3L1 expression between the RA and normal control (NC) groups.
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Based on the transcriptomic datasets GSE77298 and GSE89408, the Wilcoxon rank-sum test was applied to perform nonparametric analysis of CHI3L1 expression between the RA and normal control (NC) groups.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41488645", "kind": "science-record", "revision": 3, "content_hash": "sha256:3b59e5a31af5e72265b2ade96d09591cec407115312cd6e3fedc1c95b9807271", "created_at": "2026-11-01T20:31:28Z", "updated_at": "2026-11-01T22:15:15Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Serum CHI3L1 levels correlate with disease activity in rheumatoid arthritis and reveal potential molecular mechanisms.", "doi": "10.3389/fimmu.2025.1729989", "pmid": "41488645", "authors": ["Yi Deng", "Dan Wang", "Chao Wang", "Kaiyun Guo", "Ming Lei", "Yanzhao Huang", "Langui Tang", "Ya Ding", "Yan Gao"], "journal": "Frontiers in immunology", "year": 2025, "abstract": "Objective: This study aims to elucidate the molecular regulatory mechanisms of Chitinase-3-like protein 1 (CHI3L1) in rheumatoid arthritis (RA) and its association with disease activity, focusing on its translational potential in RA diagnosis, dynamic monitoring, and precision therapy.\nMethods: Transcriptomic datasets (GSE77298, GSE89408) and single-cell RNA-seq data (GSE200815) were obtained from Gene Expression Omnibus (GEO). CHI3L1 expression was analyzed by Wilcoxon test, and diagnostic accuracy by Receiver Operating Characteristic (ROC) curve. Single-cell analysis defined cell type-specific expression of CHI3L1. Differential analysis combined with weighted gene co-expression network analysis (WGCNA) identified CHI3L1-related genes, followed by protein-protein interaction (PPI) and enrichment analyses. Immune infiltration was estimated with CIBERSORT, and competing endogenous RNA (ceRNA)/transcription factor networks were constructed to explore upstream regulation. Drug databases and molecular docking were integrated to predict therapeutic candidates. Clinically, serum CHI3L1 was measured by chemiluminescence immunoassay (CLIA) in RA patients (n=102) and controls (n=79), stratified by 28-joint Disease Activity Score with erythrocyte sedimentation rate (DAS28-ESR), and correlated with C-reactive protein (CRP), rheumatoid factor (RF), anti-cyclic citrullinated peptide antibody (CCP), and ESR.\nResults: CHI3L1 expression was significantly higher in RA across datasets (P<0.01) with strong diagnostic performance (AUC>0.8). Single-cell analysis revealed predominant fibroblast expression. Integrated analysis identified 51 candidate genes, enriched in chemokine signaling and mineral absorption pathways. PPI analysis highlighted TIMP1 and AQP9 as key genes, both strongly correlated with CHI3L1 (r>0, P<0.001). Immune infiltration showed increased M0 macrophages and plasma cells, reduced regulatory T cells, and significant correlations with CHI3L1. The ceRNA network indicated involvement of multiple miRNAs and lncRNAs. Drug prediction identified glibenclamide with the lowest binding energy (-9.386 kcal/mol). Clinically, serum CHI3L1 was markedly elevated in RA (P<0.001) with excellent diagnostic accuracy (AUC = 0.907). Higher CHI3L1 levels were observed in high-activity patients (P<0.01). CHI3L1 correlated with CRP (r=0.40, P<0.001), ESR (r=0.35, P<0.001), and moderately with CCP (r=0.21, P<0.05).\nConclusion: This exploratory study suggests that CHI3L1 is a fibroblast-enriched molecule closely associated with immune dysregulation and RA activity, showing promise as a diagnostic and monitoring biomarker and a potential therapeutic target, though further validation through functional experiments and prospective studies is warranted.", "claims": [{"id": "claim-method", "statement": "Based on the transcriptomic datasets GSE77298 and GSE89408, the Wilcoxon rank-sum test was applied to perform nonparametric analysis of CHI3L1 expression between the RA and normal control (NC) groups.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41488645", "locator": "sections[5] \"Transcriptomic analysis of CHI3L1 expression and diagnostic efficacy in RA\" paragraph 2", "quote": "Based on the transcriptomic datasets GSE77298 and GSE89408, the Wilcoxon rank-sum test was applied to perform nonparametric analysis of CHI3L1 expression between the RA and normal control (NC) groups."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41488645", "locator": "sections[34] \"Data availability statement\" paragraph 2", "quote": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation."}], "state": "complete"}, {"id": "claim-target-result", "statement": "CHI3L1 expression was significantly higher in RA across datasets (P<0.01) with strong diagnostic performance (AUC>0.8).", "kind": "quantitative", "target": {"value": 0.01, "unit": "p-value", "tolerance": null, "source": "CHI3L1 expression was significantly higher in RA across datasets (P<0.01) with strong diagnostic performance (AUC>0.8)."}, "evidence": [{"asset": "source:pmid:41488645", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "CHI3L1 expression was significantly higher in RA across datasets (P<0.01) with strong diagnostic performance (AUC>0.8)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "CHI3L1 expression was significantly higher in RA across datasets (P<0.01) with strong diagnostic performance (AUC>0.8).", "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:41488645"], "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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