Identification of potential diagnostic gene biomarkers in patients with osteoarthritis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32788627", "kind": "science-record", "revision": 9, "content_hash": "sha256:e78ad0eec16092062071f0910e1becd2d399cc13da7a08e2a557c704da14d7ed", "created_at": "2026-11-01T15:41:07Z", "updated_at": "2026-11-01T22:45:11Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of potential diagnostic gene biomarkers in patients with osteoarthritis.", "doi": "10.1038/s41598-020-70596-9", "pmid": "32788627", "authors": ["Xinling Wang", "Yang Yu", "Yong Huang", "Mingshuang Zhu", "Rigao Chen", "Zhanghui Liao", "Shipeng Yang"], "journal": "Scientific reports", "year": 2020, "abstract": "The current study was aimed to identify diagnostic gene signature for osteoarthritis (OA). The differentially expressed genes (DEGs) in synovial membrane samples and blood samples were respectively identified from the GEO dataset. The intersection DEGs between synovial membrane and blood were further screened out, followed by the functional annotation of these common DEGs. The optimal intersection gene biomarkers for OA diagnostics were determined. The GSE51588 dataset of articular cartilage was used for expression validation and further diagnostic analysis validation of identified gene biomarkers for OA diagnostics. There were 379 intersection DEGs were obtained between the synovial membrane and blood samples of OA. 22 DEGs had a diagnostic value for OA. After further screening, a total of 9 DEGs including TLR7, RTP4, CRIP1, ZNF688, TOP1, EIF1AY, RAB2A, ZNF281 and UIMC1 were identified for OA diagnostic. The identified DEGs could be considered as potential diagnostic biomarkers for OA.", "claims": [{"id": "claim-method", "statement": "The limma package in R software was used to identify the DEGs in OA synovial membrane and blood samples. Benjamini and Hochberg test was used to adjust the p value. The p < 0.05 was considered as the cutoff criterion.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32788627", "locator": "sections[4] \"Data processing and identification of DEGs\" paragraph 2", "quote": "The limma package in R software was used to identify the DEGs in OA synovial membrane and blood samples. Benjamini and Hochberg test was used to adjust the p value. The p < 0.05 was considered as the cutoff criterion."}], "state": "complete"}, {"id": "claim-data-access", "statement": "4 datasets of synovial membrane including GSE82107, GSE55457, GSE55235 and GSE12021 and 2 datasets of blood including GSE63359 and GSE48556 were used for gene expression profiles analysis. 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years (mean ± SD)", "NA", "NA"], ["Sex"], ["Male", "NA", "NA"], ["Female", "NA", "NA"], ["GSE55457", "10", "10"], ["Age, years (mean ± SD)", "72.4 ± 5.9", "51.0 ± 19.7"], ["Sex"], ["Male", "2", "8"], ["Female", "8", "2"], ["GSE55235", "10", "10"], ["Sex"], ["Male", "2", "7"], ["Female", "8", "3"], ["GSE12021", "10", "9"], ["Age, years (mean ± SD)", "71.9 ± 2.0", "49.9 ± 6.7"], ["Sex"], ["Male", "2", "7"], ["Female", "8", "2"], ["Disease duration, years (mean ± SD)", "6.2 ± 2.7", "0.4 ± 0.3"], ["CRP(mg/L)", "7.6 ± 2.9", "NA"], ["GSE63359", "46", "26"], ["Age, years (mean ± SD)", "65.6 ± 10.7", "54.6 ± 9.5"], ["Sex"], ["Male", "14", "7"], ["Female", "32", "19"], ["BMI (mean ± SD)", "27.4 ± 4.1", "24.9 ± 3.9"], ["GSE48556", "106", "33"], ["Age, years (mean ± SD)", "58.2 ± 7.6", "60.9 ± 7.7"], ["Sex"], ["Male", "1", "9"], ["Female", "105", "24"], ["GSE51588", "40", "10"], ["Age, years (mean ± SD)", "69.7 ± 8.8", "38.4 ± 12.7"], ["Sex"], ["Male", "18", "4"], ["Female", "22", "6"]], 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