Investigation of the relationships between knee osteoarthritis and obesity via untargeted metabolomics analysis

Şenol, Onur; Gündoğdu, Köksal; Miloğlu, Fatma Demirkaya

doi:10.1007/s10067-019-04428-1

Cited by 37 publications

(28 citation statements)

References 41 publications

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“…Fatty acids are known to play a role in a broad range of cardiovascular diseases as well as to the immune system, which might hint that there is a more generic pathway underlying the association of OA and fatty acid make up 33,34 . This finding was supported by the study of Senol et al in OA patients which demonstrated that there are differences in the metabolic pathways of fatty acid biosynthesis pathways between OA patients and controls 35 . Given these studies, we advocate that the length of the Fatty Acid Chain is underlying the risk of OA susceptibility by directly affecting chondrocyte energy metabolism.…”

Section: Discussionsupporting

confidence: 53%

Serum fatty acid chain length associates with prevalent symptomatic end-stage osteoarthritis, independent of BMI

Meessen

Hosnijeh

Hollander

et al. 2020

Sci Rep

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Higher body mass index (BMI) is associated with osteoarthritis (OA) in both weight-bearing and non-weight-bearing joints, suggesting a link between OA and poor metabolic health beyond mechanical loading. This risk may be influenced by systemic factors accompanying BMI. Fluctuations in concentrations of metabolites may mark or even contribute to development of OA. This study explores the association of metabolites with radiographic knee/hip OA prevalence and progression. A 1H-NMR-metabolomics assay was performed on plasma samples of 1564 cases for prevalent OA and 2,125 controls collected from the Rotterdam Study, CHECK, GARP/NORREF and LUMC-arthroplasty cohorts. OA prevalence and 5 to 10 year progression was assessed by means of Kellgren-Lawrence (KL) score and the OARSI-atlas. End-stage knee/hip OA (TJA) was defined as indication for arthroplasty surgery. Controls did not have OA at baseline or follow-up. Principal component analysis of 227 metabolites demonstrated 23 factors, of which 19 remained interpretable after quality-control. Associations of factor scores with OA definitions were investigated with logistic regression. Fatty acids chain length (FALen), which was included in two factors which associated with TJA, was individually associated with both overall OA as well as TJA. Increased Fatty Acid chain Length is associated with OA.

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Section: Discussionsupporting

confidence: 53%

Serum fatty acid chain length associates with prevalent symptomatic end-stage osteoarthritis, independent of BMI

Meessen

Hosnijeh

Hollander

et al. 2020

Sci Rep

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“…It had also reported that BCAA reflects the relationship between obesity and OA, and obesity is an important factor in the occurrence of OA [34]. In addition, this project showed that valine can be used as a potential biomarker for OA, which had also been reported in previous study [35]. This project also reported some new biomarkers, which have certain significance for the development of new diagnostic methods for OA.…”

supporting

confidence: 71%

Metabolic profiling of serum for osteoarthritis biomarkers

Xiao¹,

Zhang²,

Huang³

et al. 2021

Preprint

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Osteoarthritis is a prevalent aging disease in the world, and in recent years it has shown a trend toward younger age, which is becoming a major health problem in the world and seriously endangers the health of the elderly. However, the etiology and pathogenesis of osteoarthritis are still unclear, causing great trouble for treatment. To screen out potential biomarkers that could be used as identification of osteoarthritis and explore the pathogenesis of osteoarthritis, we performed untargeted metabolomics analysis of nine New Zealand rabbit serum samples by LC-MS / MS, including three normal serum samples (control group) and six osteoarthritis serum samples (case group). Finally 44 differential metabolites were identified, and the ROC analysis results indicated that a total of 36 differential metabolites could be used as potential biomarkers. Further metabolic pathway enrichment analysis was performed on these differential metabolites, and we found that a total of 17 metabolic pathways were affected, which may provide directions for the study of osteoarthritis mechanisms.

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“…It has been shown that the level of carbamic acid is much higher in patients with osteoarthritis than in normal subjects. Carbamic acid is involved in nitrogen metabolism [ 21 ], and inflammatory reactive nitrogen allows for elevated concentrations of basal formic acid and increased oxidative stress [ 22 ]. OA as a chronic inflammatory condition is mostly accompanied by acidosis [ 23 ], which leads to an increase in acidic metabolites such as butyric acid and stearic acid [ 24 ].…”

Section: Discussionmentioning

confidence: 99%

Analysis of Serum Metabolomics in Rats with Osteoarthritis by Mass Spectrometry

et al. 2021

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Osteoarthritis is a common multifactorial chronic disease that occurs in articular cartilage, subchondral bone, and periarticular tissue. The pathogenesis of OA is still unclear. To investigate the differences in serum metabolites between OA and the control group, liquid chromatography/mass spectrometry (LC/MS)-based metabolomics was used. To reveal the pathogenesis of OA, 12 SD male rats were randomly divided into control and OA groups using collagenase to induce OA for modeling, and serum was collected 7 days after modeling for testing. The OA group was distinguished from the control group by principal component analysis and orthogonal partial least squares-discriminant analysis, and six biomarkers were finally identified. These biomarkers were metabolized through tryptophan metabolism, glutamate metabolism, nitrogen metabolism, spermidine metabolism, and fatty acid metabolism pathways. The study identified metabolites that may be altered in OA, suggesting a role in OA through relevant metabolic pathways. Metabolomics, as an important tool for studying disease mechanisms, provides useful information for studying the metabolic mechanisms of OA.

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Investigation of the relationships between knee osteoarthritis and obesity via untargeted metabolomics analysis

Cited by 37 publications

References 41 publications

Serum fatty acid chain length associates with prevalent symptomatic end-stage osteoarthritis, independent of BMI

Serum fatty acid chain length associates with prevalent symptomatic end-stage osteoarthritis, independent of BMI

Metabolic profiling of serum for osteoarthritis biomarkers

Analysis of Serum Metabolomics in Rats with Osteoarthritis by Mass Spectrometry

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