Association of urinary metabolites with radiographic progression of knee osteoarthritis in overweight and obese adults: an exploratory study

被引:46
作者
Loeser, R. F. [1 ]
Pathmasiri, W. [2 ]
Sumner, S. J. [2 ]
McRitchie, S. [2 ]
Beavers, D. [3 ,4 ]
Saxena, P. [3 ,4 ]
Nicklas, B. J. [3 ,4 ]
Jordan, J. [1 ]
Guermazi, A. [5 ]
Hunter, D. J. [6 ,7 ]
Messier, S. P. [8 ]
机构
[1] Univ N Carolina, Sch Med, Div Rheumatol Allergy & Immunol, Thurston Arthrit Res Ctr, Chapel Hill, NC USA
[2] RTI Int, NIH Eastern Reg Comprehens Metabol Resource Core, Res Triangle Pk, NC USA
[3] Wake Forest Sch Med, Dept Publ Hlth Sci, Winston Salem, NC USA
[4] Wake Forest Sch Med, Dept Internal Med, Winston Salem, NC USA
[5] Boston Univ, Sch Med, Dept Radiol, Boston, MA 02215 USA
[6] Univ Sydney, Royal North Shore Hosp, Dept Rheumatol, Sydney, NSW, Australia
[7] Univ Sydney, Kolling Inst, Inst Bone & Joint Res, Sydney, NSW, Australia
[8] Wake Forest Univ, Dept Hlth & Exercise Sci, Winston Salem, NC 27109 USA
关键词
Osteoarthritis; Metabolism; Biomarkers; INTENSIVE DIET; WEIGHT-LOSS; CARTILAGE DEGRADATION; OLDER-ADULTS; BODY-WEIGHT; EXERCISE; RISK; INFLAMMATION; ARTHRITIS; MASS;
D O I
10.1016/j.joca.2016.03.011
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Introduction: Metabolic factors may contribute to osteoarthritis (OA). This study employed metabolomics analyses to determine if differences in metabolite profiles could distinguish people with knee OA who exhibited radiographic progression. Methods: Urine samples obtained at baseline and 18 months from overweight and obese adults in the Intensive Diet and Exercise for Arthritis (IDEA) trial were selected from two subgroups (n <= 22 each) for metabolomics analysis: a group that exhibited radiographic progression (>= 0.7 mm decrease in joint space width, JSW) and an age, gender, and body mass index (BMI) matched group who did not progress (<= 0.35 mm decrease in JSW). Multivariate analysis methods, including orthogonal partial least square discriminate analysis, were used to identify metabolite profiles that separated progressors and nonprogressors. Plasma levels of IL-6 and C-reactive protein (CRP) were evaluated as inflammatory markers. Results: Multivariate analysis of the binned metabolomics data distinguished progressors from nonprogressors. Library matching revealed that glycolate, hippurate, and trigonelline were among the important metabolites for distinguishing progressors from non-progressors at baseline whereas alanine, N, N-dimethylglycine, glycolate, hippurate, histidine, and trigonelline, were among the metabolites that were important for the discrimination at 18 months. In non-progressors, IL-6 decreased from baseline to 18 months while IL-6 was unchanged in progressors; the change over time in IL-6 was significantly different between groups. Conclusion: These findings support a role for metabolic factors in the progression of knee OA and suggest that measurement of metabolites could be useful to predict progression. Further investigation in a larger sample that would include targeted investigation of specific metabolites is warranted. (C) 2016 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1479 / 1486
页数:8
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