{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T03:28:29Z","timestamp":1793071709402,"version":"4.5.0"},"reference-count":36,"publisher":"The Journal of Rheumatology","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Rheumatol"],"accepted":{"date-parts":[[2025,11,30]]},"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Dietary factors related to inflammation, obesity, and metabolism may contribute to osteoarthritis (OA) development. This study examines the relationship between metabolomic signatures of dietary patterns and radiographic knee OA incidence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This case-cohort study included 603 participants from the Osteoarthritis Initiative, comprising 237 incident radiographic knee OA cases and 366 noncases during a 6-year follow-up. Plasma metabolomes were analyzed using ultra-performance liquid chromatography-tandem mass spectrometry. We averaged metabolite levels at baseline and year 1 as the exposure and identified incident cases with those who had a Kellgren-Lawrence grade \u2265 2 in follow-ups. We selected 46 metabolites significantly associated with major food groups based on previous studies. Principal component analysis identified 4 metabolomic signatures related to specific food groups. Weighted logistic regression was used to examine associations between metabolomic signature scores and knee OA incidence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among the 603 participants, after adjusting for age, sex, and other covariates, the highest quartiles of 2 metabolomic signatures associated with healthy food groups were linked to a reduced OA risk compared to the lowest quartile (odds ratio [95% CI] 0.69 [0.44-1.08] and 0.61 [0.40-0.92], respectively). However, after further adjustment for BMI, these associations weakened. The proportions of the associations mediated through BMI for these 2 signatures were 43.7% and 81.4%, respectively. The other signatures were null.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Metabolomic signatures of healthy dietary patterns may be linked to a lower risk of radiographic knee OA, with BMI potentially playing an intermediary role. Further studies are needed to explore causality.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3899\/jrheum.2025-0830","type":"journal-article","created":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T13:20:15Z","timestamp":1765804815000},"page":"443-449","source":"Crossref","is-referenced-by-count":2,"title":["Metabolomic Signatures of Dietary Patterns and Incident Radiographic Knee Osteoarthritis: A Case-Cohort Study From the Osteoarthritis Initiative"],"prefix":"10.3899","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4662-6589","authenticated-orcid":false,"given":"Shike","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6098-4273","authenticated-orcid":false,"given":"Jeffrey 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