ArticleBiochemical and biophysical research communications2018
Application of global metabolomic profiling of synovial fluid for osteoarthritis biomarkers.
Article in Biochemical and biophysical research communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
75 citing papers in PubMed, 1 synthesis or guideline pooled it, 140 citations in OpenAlex.
- Utilizing metabolomics to identify potential biomarkers and perturbed metabolic pathways in osteoarthritis: A systematic review.Seminars in arthritis and rheumatism · 2023Pooled it
- Tissue-Specific and Spatially Dependent Metabolic Signatures Perturbed by Injury in Male and Female Mice.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Osteoarthritis: Epidemiology, Diagnosis, and Treatment.MedComm · 2026Review
- Exercise-myokine relationships in osteoarthritis.Journal of translational medicine · 2026Review
- Synovial Joint Fluid Metabolomic Profiles and Pathways Differentiate Osteoarthritis, Rheumatoid Arthritis, and Psoriatic Arthritis.Metabolites · 2026Article
- Identification of potential biomarkers and therapeutic targets for osteoarthritis associated with arginine and proline metabolism based on transcriptome sequencing and bioinformatics.Frontiers in genetics · 2026Article
- Transcriptome-based profiling of programmed cell death signatures identifies two osteoarthritis subtypes and the hub gene DNM1L.Frontiers in immunology · 2026Article
- From mechanical triggering to metabolic-inflammatory driving: a new paradigm of knee osteoarthritis pathogenesis.Frontiers in immunology · 2026Review
- Metabolomic Profiling and Characterization of a Novel 3D Culture System for Studying Chondrocyte Mechanotransduction.Cellular and molecular bioengineering · 2025Article
- Beyond symptomatic alignment: evaluating the integration of causal mechanisms in matching animal models with human pathotypes in osteoarthritis research.Arthritis research & therapy · 2025Review
- Recent advances in omics and the integration of multi-omics in osteoarthritis research.Arthritis research & therapy · 2025Review
- AI-Assisted Plasmonic Diagnostics Platform for Osteoarthritis and Rheumatoid Arthritis With Biomarker Quantification Using Mathematical Models.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Metabolic Profiles of Encapsulated Chondrocytes Exposed to Short-Term Simulated Microgravity.Annals of biomedical engineering · 2025Article
- Advanced Machine Learning for Comparative Synovial Fluid Analysis in Osteoarthritis and Rheumatoid Arthritis.Metabolites · 2025Article
- Starve a cold or feed a fever? Identifying cellular metabolic changes following infection and exposure to SARS-CoV-2.PloS one · 2025Article
- Multi-Omics Assessment of Puff Volume-Mediated Salivary Biomarkers of Metal Exposure and Oxidative Injury Associated with Electronic Nicotine Delivery Systems.Environmental health perspectives · 2025Article
- Metabolic phenotypes reflect patient sex and injury status: A cross-sectional analysis of human synovial fluid.Osteoarthritis and cartilage · 2024Article
- Utilising Discriminant Function Analysis (DFA) for Classifying Osteoarthritis (OA) Patients and Volunteers Based on Biomarker Concentration.Diagnostics (Basel, Switzerland) · 2024Article
- Metabolic Profiles of Encapsulated Chondrocytes Exposed to Short-Term Simulated Microgravity.bioRxiv : the preprint server for biology · 2024Article
- Metabolomics in Osteoarthritis Knee: A Systematic Review of Literature.Indian journal of orthopaedics · 2024Review
15 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Osteoarthritis affects over 250 million individuals worldwide. Currently, there are no options for early diagnosis of osteoarthritis, demonstrating the need for biomarker discovery. To find biomarkers of osteoarthritis in human synovial fluid, we used high performance liquid-chromatography mass spectrometry for global metabolomic profiling. Metabolites were extracted from human osteoarthritic (n = 5), rheumatoid arthritic (n = 3), and healthy (n = 5) synovial fluid, and a total of 1233 metabolites were detected. Principal components analysis clearly distinguished the metabolomic profiles of diseased from healthy synovial fluid. Synovial fluid from rheumatoid arthritis patients contained expected metabolites consistent with the inflammatory nature of the disease. Similarly, unsupervised clustering analysis found that each disease state was associated with distinct metabolomic profiles and clusters of co-regulated metabolites. For osteoarthritis, co-regulated metabolites that were upregulated compared to healthy synovial fluid mapped to known disease processes including chondroitin sulfate degradation, arginine and proline metabolism, and nitric oxide metabolism. We utilized receiver operating characteristic analysis to determine the diagnostic value of each metabolite and identified 35 metabolites as potential biomarkers of osteoarthritis, with an area under the receiver operating characteristic curve >0.9. These metabolites included phosphatidylcholine, lysophosphatidylcholine, ceramides, myristate derivatives, and carnitine derivatives. This pilot study provides strong justification for a larger cohort-based study of human osteoarthritic synovial fluid using global metabolomics. The significance of these data is the demonstration that metabolomic profiling of synovial fluid can identify relevant biomarkers of joint disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.