2019
DOI: 10.1016/j.joca.2019.04.007
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Characterization of synovial fluid metabolomic phenotypes of cartilage morphological changes associated with osteoarthritis

Abstract: Objective: Osteoarthritis (OA) is a multifactorial disease with etiological heterogeneity. The objective of this study was to classify OA subgroups by generating metabolomic phenotypes from human synovial fluid. Design: Post mortem synovial fluids (n ¼ 75) were analyzed by high performance-liquid chromatography mass spectrometry (LC-MS) to measure changes in the global metabolome. Comparisons of healthy (grade 0), early OA (grades I-II), and late OA (grades III-IV) donor populations were considered to reveal p… Show more

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Cited by 92 publications
(98 citation statements)
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“…The histopathological features were that defective autophagy and oxidative damage in chondrocytes were present in patients with end-stage knee OA and in mice with DMM-mediated knee joint injury. The analyses were in agreement with other groups' studies showing that oxidative stress [40] and autophagy loss [8,41] are correlated with the severity and development of human knee OA. Autophagy failure escalates apoptotic programs in osteoarthritic chondrocytes; however, very little is known about the regulatory mechanism underlying these deleterious reactions.…”
Section: Discussionsupporting
confidence: 91%
“…The histopathological features were that defective autophagy and oxidative damage in chondrocytes were present in patients with end-stage knee OA and in mice with DMM-mediated knee joint injury. The analyses were in agreement with other groups' studies showing that oxidative stress [40] and autophagy loss [8,41] are correlated with the severity and development of human knee OA. Autophagy failure escalates apoptotic programs in osteoarthritic chondrocytes; however, very little is known about the regulatory mechanism underlying these deleterious reactions.…”
Section: Discussionsupporting
confidence: 91%
“…Because of the higher prevalence of asymptomatic OA, it is approximated that 250 million people all over the world suffer from OA [ 8 , 9 ]. The prevalence of knee OA increased significantly over the last decades and continues to rise, partially because of the increasing prevalence of obesity and other risk factors, but also independently, of other causes [ 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…However, as the previous analysis used an individual metabolite-based analytic method with a conservative significance level, we might miss other important markers that play a role in TJR response. Metabolomics has previously been used to show distinct metabolic phenotypes of OA patients (Carlson et al 2019) and thus offers a valuable technique to identify non-responders, especially when used with a network approach. Network science is a powerful tool to investigate the relationships and interaction patterns of a set of entities and has seen many applications to biomedical research as these types of analyses do not require a priori hypotheses and can thus be used to identify datadriven subgroups in complex disease that otherwise may not have been considered due to the large number of factors often considered in these types of analyses and lack of known relationship between factors.…”
Section: Introductionmentioning
confidence: 99%