DNAJB2 Attenuates Rosacea Skin Inflammation and Angiogenesis by Inhibiting the Endoplasmic Reticulum Stress-mediated TLR2/Myd88/NF-κB pathway.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40035989", "kind": "science-record", "revision": 4, "content_hash": "sha256:6056688173ea9ede56d819134c459922dd16dfc43495b7ce46a9cf6bb2a22f0b", "created_at": "2026-11-01T20:30:15Z", "updated_at": "2026-11-01T22:56:10Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "DNAJB2 Attenuates Rosacea Skin Inflammation and Angiogenesis by Inhibiting the Endoplasmic Reticulum Stress-mediated TLR2/Myd88/NF-κB pathway.", "doi": "10.1007/s10753-025-02278-5", "pmid": "40035989", "authors": ["Yuxin Qing", "Jiawen Wu", "Bingyang Xu", "Zining Xu", "Shuhong Ye", "Yuanqin Wang", "Bin Zhao", "Hong Sun", "Na Wu"], "journal": "Inflammation", "year": 2025, "abstract": "Endoplasmic reticulum stress (ERS) has recently been proposed as a core factor in the pathogenesis and aggravation of rosacea. The roles of ERS-related genes in rosacea are largely unknown and were investigated in this study. Rosacea microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed ERS-related genes in rosacea patients vs. controls were screened using the Limma package, and LASSO regression was used to screen for characteristic genes. The infiltrating fraction was evaluated using ssGSEA. Clinical rosacea samples, age-matched healthy volunteers, and LL37-induced mice models were used to investigate the expression of DNAJB2 and its function. In the GSE65914 dataset, 17 differentially expressed ERS-related genes were screened. Of these, 13 were identified as characteristic genes predicting rosacea risk. The adaptive immune response, TLR signaling pathway, and chemokine signaling pathway were activated with a high risk of rosacea. After expression validation using the GSE155141 dataset, DNAJB2 was identified as a key gene. DNAJB2 expression was significantly decreased in both datasets, clinical samples, and the LL37-induced mice model. DNAJB2 overexpression could alleviate rosacea skin injury and inhibit expression of inflammatory cytokines and chemokines as well as angiogenesis. The infiltration levels of the majority of immune cell types were elevated in rosacea samples, and DNAJB2 overexpression inhibited CD4 + T cell infiltration, as well as Th1 and Th17 polarizing genes. Moreover, DNAJB2 could inhibit ERS marker proteins and the activated TLR2/Myd88/NF-κB pathway. DNAJB2 may be a novel target for rosacea treatment.", "claims": [{"id": "claim-method", "statement": "Differential analysis between rosacea patients and healthy controls was conducted using the empirical Bayesian and linear regression provided in the Limma package (version 3.10.3), followed by Benjamini–Hochberg method-based multiple test correction. Genes that existed in the PPI network were selected to further screen characteristic genes using LASSO Cox regression. Briefly, the GLMNet package (version 4.0–2) was employed to conduct LASSO regression with tenfold cross-validation, and genes with non-zero regression coefficients were determined as characteristic genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40035989", "locator": "sections[4] \"Screening of Differentially Expressed ERS-Related Genes\" paragraph 2", "quote": "Differential analysis between rosacea patients and healthy controls was conducted using the empirical Bayesian and linear regression provided in the Limma package (version 3.10.3), followed by Benjamini–Hochberg method-based multiple test correction."}, {"asset": "source:pmid:40035989", "locator": "sections[6] \"Identification and Evaluation of Characteristic Genes\" paragraph 2", "quote": "Genes that existed in the PPI network were selected to further screen characteristic genes using LASSO Cox regression."}, {"asset": "source:pmid:40035989", "locator": "sections[6] \"Identification and Evaluation of Characteristic Genes\" paragraph 2", "quote": "Briefly, the GLMNet package (version 4.0–2) was employed to conduct LASSO regression with tenfold cross-validation, and genes with non-zero regression coefficients were determined as characteristic genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data that support the findings of this study are available from the Xi'an Jiaotong University but restrictions apply to the availability of these data, which were used under license for this study and therefore are not publicly available. Data are however available from the corresponding author upon reasonable request and with permission of the Xi'an Jiaotong University.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40035989", "locator": "sections[36] \"notes\" paragraph 1", "quote": "The data that support the findings of this study are available from the Xi'an Jiaotong University but restrictions apply to the availability of these data, which were used under license for this study and therefore are not publicly available. Data are however available from the corresponding author upon reasonable request and with permission of the Xi'an Jiaotong University."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:40035989"], "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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Rosacea microarray datasets were downloaded from the Gene Expre"], "order_basis": "paper_text_order:332", "id": "assay:1"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ding for one week, a rosacea-like dermatitis mouse model was induced using LL37 as previously describ", "s shaved 24 h before the experiment, and the mice were randomly divided into three groups: control,", "s were collected for subsequent analyses.All mice were kept under designated pathogen free (SPF) co", "ding for one week, a rosacea-like dermatitis mouse model was induced using LL37 as previously d"], "order_basis": "paper_text_order:2411", "id": "assay:2"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["ulture Human HaCaT keratinocytes (ATCC) were cultured in DMEM containing 10% FBS and 1% penicillin/st"], "order_basis": "paper_text_order:3737", "id": "assay:3"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": [") of DNAJB2 protein expression determined by immunohistochemical staining; D Phenotypic presentation of mice"], "order_basis": "paper_text_order:5516", "id": "assay:4"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["l and model groups determined by qRT-PCR and western blot, n = 3. *P < 0.05, **P < 0.01"], "order_basis": "paper_text_order:5868", "id": "assay:5"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Differential analysis between rosacea patients and healthy controls was conducted using the empirical Bayesian and linear regression provided in the Limma package (version 3.10.3), followed by Benjamini–Hochberg method-based multiple test correction. 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