ArticleBMC musculoskeletal disorders2023
Exploring biomarkers associated with severity of knee osteoarthritis in Southern China using widely targeted metabolomics.
Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Article
- COLGALT2 Polymorphisms are Associated with Osteoarthritis Risk and Clinical Severity in a Chinese Population.International journal of general medicine · 2026Article
- From mechanical triggering to metabolic-inflammatory driving: a new paradigm of knee osteoarthritis pathogenesis.Frontiers in immunology · 2026Review
- A Multidimensional Definition of Pre-Osteoarthritis: Toward 21st-Century Subclinical Detection and Targeted Intervention.International journal of molecular sciences · 2025Review
- Verification of Pain-Related Neuromodulation Mechanisms of Calcitonin in Knee Osteoarthritis.Molecular neurobiology · 2025Article
- Osteoarthritis Year in Review 2024: Molecular biomarkers of osteoarthritis.Osteoarthritis and cartilage · 2025Review
- Analysis of Synovial Fluid Metabolic Profile in Patients with Knee Osteoarthritis Using Spectroscopic Magnetic Resonance Metabolomics.Revista brasileira de ortopedia · 2024Article
- Lipidomic Signature of Plasma and Synovial Fluid in Patients with Osteoarthritis: Putative Biomarkers Determined by UHPLC-QTOF-ESI+MS.Diagnostics (Basel, Switzerland) · 2024Article
- The interplay between dysregulated metabolites and signaling pathway alterations involved in osteoarthritis: a systematic review.Therapeutic advances in musculoskeletal disease · 2024Review
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundMetabolomics is a tool to study the pathogenesis of diseases and their associated metabolites, but there are still insufficient metabolomic studies on severe knee osteoarthritis.To investigate the differences in serum metabolites between healthy populations and knee osteoarthritis (KOA) patients in Southern China using widely targeted metabolomics, and to explore biomarkers and their metabolic pathways that could be associated with the severity of KOA.
methodsThere were 10 healthy individuals in the control group and 32 patients with KOA. According to the Kellgren-Lawrence (KL) grading system, KOA was further divided into mild (n = 13, KL grade 1 and 2) and severe (n = 19, KL grade 3 and 4). Serum samples from all participants were collected and analyzed metabolomics based on ultra-performance liquid chromatography/electrospray ionization/tandem mass spectrometry. We screened for differential metabolites between patients and controls, and between mild and severe KOA. We explored the metabolic pathways involved in differential metabolism using the Kyoto Encyclopedia of Genes and Genomes database.
resultsSixty-one metabolites were differentially expressed in the sera of the patient group compared with the control group (45 upregulated and 16 downregulated). Analysis of the mild and severe KOA groups showed a total of 12 differential metabolites. Receiver operating characteristic curve analysis showed N-alpha-acetyl-L-asparagine was a good predictor of advanced osteoarthritis(OA).Differential metabolites are enriched in multiple pathways such as arachidonic acid metabolism.
conclusionWidely targeted metabolomics found that upregulation of the amino acid metabolite N-α-acetyl-L-asparagine was significantly associated with severe KOA and could be a biomarker for predicting severity of KOA. Arachidonic acid metabolism may play an important role in patients with severe KOA.
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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.