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This observational case\u2013control study analysed urine samples from 35 negRA patients and 25 healthy controls using integrated liquid chromatography\u2013quadrupole time-of-flight mass spectrometry and gas chromatography\u2013mass spectrometry. Data were processed using mass spectrometry\u2013data independent analysis and evaluated with multivariate approaches, including orthogonal partial least squares discriminant analysis and receiver operating characteristic curve analysis. We identified distinct urinary metabolic alterations in negRA, with four metabolites showing moderate-to-excellent diagnostic accuracy (area under the curve: 0.78\u20130.91). Pathway analysis using the Kyoto Encyclopedia of Genes and Genomes indicated the involvement of redox regulation and nucleotide\/cofactor metabolism. These findings support the potential of urine metabolomics as a non-invasive tool for biomarker discovery in negRA and warrant validation in larger cohorts.<\/jats:p>","DOI":"10.1093\/momics\/aaiaf004","type":"journal-article","created":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T09:01:40Z","timestamp":1767776500000},"source":"Crossref","is-referenced-by-count":0,"title":["Urine metabolomics for seronegative rheumatoid arthritis: an exploratory dual-platform analysis"],"prefix":"10.1093","volume":"22","author":[{"given":"Koteswari","family":"Peddi","sequence":"first","affiliation":[{"name":"Department of Life Science, GITAM School of Science, GITAM (Deemed to be University) , Visakhapatnam 530045 ,","place":["India"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8446-3525","authenticated-orcid":false,"given":"Satyanarayana Swamy","family":"Cheekatla","sequence":"additional","affiliation":[{"name":"Department of Life Science, GITAM 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