Back to Search
Start Over
Can joint fluid metabolic profiling (or 'metabonomics') reveal biomarkers for osteoarthritis and inflammatory joint disease?
- Source :
- Bone & Joint Research. 9:108-119
- Publication Year :
- 2020
- Publisher :
- British Editorial Society of Bone & Joint Surgery, 2020.
-
Abstract
- Aims Metabolic profiling is a top-down method of analysis looking at metabolites, which are the intermediate or end products of various cellular pathways. Our primary objective was to perform a systematic review of the published literature to identify metabolites in human synovial fluid (HSF), which have been categorized by metabolic profiling techniques. A secondary objective was to identify any metabolites that may represent potential biomarkers of orthopaedic disease processes. Methods A systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines using the MEDLINE, Embase, PubMed, and Cochrane databases. Studies included were case series, case control series, and cohort studies looking specifically at HSF. Results The primary analysis, which pooled the results from 17 published studies and four meeting abstracts, identified over 200 metabolites. Seven of these studies (six published studies, one meeting abstract) had asymptomatic control groups and collectively suggested 26 putative biomarkers in osteoarthritis, inflammatory arthropathies, and trauma. These can broadly be categorized into amino acids plus related metabolites, fatty acids, ketones, and sugars. Conclusion The role of metabolic profiling in orthopaedics is fast evolving with many metabolites already identified in a variety of pathologies. However, these results need to be interpreted with caution due to the presence of multiple confounding factors in many of the studies. Future research should include largescale epidemiological metabolic profiling studies incorporating various confounding factors with appropriate statistical analysis to account for multiple testing of the data. Cite this article: Bone Joint Res. 2020;9(3):108–119.
- Subjects :
- 030203 arthritis & rheumatology
0303 health sciences
Joint fluid
business.industry
Cellular pathways
Method of analysis
Osteoarthritis
medicine.disease
Bioinformatics
03 medical and health sciences
Joint disease
0302 clinical medicine
Rheumatoid arthritis
medicine
Profiling (information science)
Orthopedics and Sports Medicine
Surgery
business
030304 developmental biology
Subjects
Details
- ISSN :
- 20463758
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Bone & Joint Research
- Accession number :
- edsair.doi...........b831f612c458f92fcf013e4a110db2d1
- Full Text :
- https://doi.org/10.1302/2046-3758.93.bjr-2019-0167.r1