Evidence map›Paper›PMID 41397862›Full record

ArticleThe Journal of rheumatology2026

Metabolomic Signatures of Dietary Patterns and Incident Radiographic Knee Osteoarthritis: A Case-Cohort Study From the Osteoarthritis Initiative.

Shike Xu, Jeffrey B Driban, Priya S Prakash, Timothy E McAlindon, Charles B Eaton, Bing Lu

Abstract read
In one paragraph

Article in The Journal of rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shike XuS. Xu, MS, Department of Statistics, University of Connecticut, Storrs, and Department of Public Health Sciences, UConn Health, Farmington, Connecticut.ORCID 0000-0003-4662-6589
Jeffrey B DribanJ.B. Driban, PhD, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.ORCID 0000-0001-6098-4273
Priya S PrakashP.S. Prakash, MBBS, MPH, B. Lu, MD, DrPH, Department of Public Health Sciences, UConn Health, Farmington, Connecticut.ORCID 0009-0006-2353-0428
Timothy E McAlindonT.E. McAlindon, MD, MPH, Division of Rheumatology, Department of Medicine, UMass Chan Medical School, Worcester, Massachusetts.ORCID 0000-0002-5031-1021
Charles B EatonC.B. Eaton, MD, MS, Department of Epidemiology, Brown University School of Public Health, Providence, and Center for Primary Care and Prevention, Alpert Medical School of Brown University, Pawtucket, Rhode Island, USA.ORCID 0000-0002-7723-9461
Bing LuP.S. Prakash, MBBS, MPH, B. Lu, MD, DrPH, Department of Public Health Sciences, UConn Health, Farmington, Connecticut; blu@uchc.edu.ORCID 0000-0002-0031-5999

Funding

Metabolites of Dietary Intake and Risk of Knee OsteoarthritisR01AR074447 · NIAMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LU, BING · 2019 to 2022
$2.6M
Metabolomic Signatures of Alcohol Consumption and Risk of Knee OsteoarthritisR21AR085243 · NIAMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Bing Lu · 2025 to 2026
$393k
NIAMS NIH HHS R01 AR074447NIAMS NIH HHS R21 AR085243
6 · The paper itself

Abstract

objectiveDietary 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.

methodsThis 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 ≥ 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.

resultsAmong 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.

conclusionMetabolomic 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.

Indexed as

DietKnee JointMetabolomeOsteoarthritis, KneeAgedCase-Control StudiesCohort StudiesFemaleHumansIncidenceMaleMetabolomicsMiddle AgedRadiographydietary patternsepidemiologymetabolomicsosteoarthritis

Identifiers

PMID41397862
PMCPMC12710780

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.