Analysis of Human Knee Joint Fluid Using Metabonomic, Genomic and Tribology Techniques

Rheumatoid Arthritis Clinical Trial

Official title: Looking for Biomarkers in Human Joint Fluid Using Metabonomic, Microbiomic and Tribological Analysis

Status Active, not recruiting

Clinical Trial Summary

Making the diagnosis underlying a painful, swollen joint currently involves aspiration followed by numerous microbiological and biochemical laboratory tests. This can be costly, time consuming and in the case of an acutely swollen joint, lead to a lengthy inpatient admission. There is an unmet need to provide a quick, easy, reliable dipstick like test to analyse joint fluid in the community, clinic, or emergency department setting.

The investigators aim to use well established metabonomic techniques to:

1. Analyse fluid from patients with swollen joints

2. Identify potential biomarkers of inflammatory, infective and osteoarthritic causes of joint swelling

3. Correlate this with lubrication and wear properties of the fluid The long term goal is to develop time saving, cost effective, non-invasive diagnostic tests to improve management of a swollen joint. The biomedical research centre at Imperial provides a unique and unparalleled clinical and scientific environment to conduct this research. The Imperial College division of Computational and Systems Medicine has an international reputation in metabonomics and this, together with the high volume of patients with swollen joints treated at Imperial National Health Service Trust (c1000/yr) ensures that the study can take place in an environment conductive to success.

Clinical Trial Description

Swollen joints represent a diagnostic challenge. Possible diagnoses include: osteoarthritis, gout, rheumatological disease or infection. Diagnostic methods are limited to microscopy, microbiology and trace analysis. These methods can be slow, time consuming, expensive and often inconclusive.

Osteoarthritis varies in the severity of any inflammatory response and subsequent symptoms. To date no molecular link has been established to explain this ambiguity. Previous studies have identified metabolites of the inflammatory response but failed to investigate any correlation with symptoms or response to targeted injections.

Microbial infections of joints are destructive. It typically takes 2-3 days to identify a causative organism and confirm diagnosis. Recent studies suggest low-level bacterial colonisation within joints. The investigators aim to analyse the joint fluid for any bacterial colonisation using enrichment and 16S Polymerase Chain Reaction (PCR) then correlate the results to the metabolic profile. In addition the investigators aim to seek metabolites indicative of the presence of a biofilm which, if present severely limits treatment options.

Metabonomics is the quantitative measurement of the dynamic multiparametric response of a living system to pathophysiological stimuli or genetic modification. This provides a global metabolic profile despite a complex biological sample and has proven useful in many fields.

Our hypotheses are:

1. Each pathology will have a unique metabolic profile

2. Inflammatory osteoarthritis will contain a different metabolic profile and potentially biomarkers to treatment and/or response

3. Specifically the presence and detection of organism sub-type and biofilm biomarkers

4. These profiles can be characterised by analysis of blood, urine and joint fluid

5. This data can be used to generate diagnostic tests that will aid management of a swollen joint.

6. There will be a correlation between metabolic profile and lubricant properties of the joint fluid, that can be utilised in future engineering strategies to manage osteoarthritis.

1. To analyse joint fluid from osteoarthritic joints to identify potential biomarkers of the disease and further understanding of the cartilage destruction pathways 2. To assess population variances in joint fluid composition using metabonomics and whether this composition correlates to arthropathy of joints 3. To study the lubrication and wear properties of the joint fluid and understand how the metabolic profile influences lubrication and subsequently joint wear.

4. To study joint fluid using metabonomics to identify biomarkers of bacterial colonisation in tandem with microbial 16S Polymerase Chain Reaction and genomic sequencing.

Project Timeline:

Phases of the project are to be as follows:

Full research, Site and Ethical Approval: Provisional ethics is already granted. No obstacles to research and site approval are expected and this should be achieved shortly afterwards. (success = ethical approval) Expected June 2015

Sample Collection: The investigators aim to recruit 150 patients to the study capturing a conservative estimate of 10 per week. All orthopaedic patients will be targeted. The majority are expected to be recruited from the elective theatres. (success = 150 pts recruited) June - September 2015 (onwards)

Metabonomic Analysis Method Development: Establishing Nuclear Magnetic Resonance (NMR) methodology for metabolic profiling of synovial fluid as a sample matrix. Method development of Liquid Chromatography Mass Spectroscopy (LCMS) untargeted and targeted methodology for synovial fluid (success = achieving robust, sensitive methodology) October 2015

Joint Fluid Tribology: Analysis of the lubricating properties of the joint fluid (success = 150 samples assayed) October - December 2015

Metabonomic Analysis: In order to yield the maximum results the investigators aim to analyse using NMR screening with untargeted and targeted LCMS analysis. With approximately 150 patients and thus 450 body fluid samples the investigators are estimating an analysis time of 6 months (success = metabolic profiling and targeted analysis) November - April 2016

Microbial Genetic Analysis: PCR and sequencing of the microbial genetic content of the joint fluid (success = completion in 150 samples) April - June 2016

Collation of results, Analysis and Reporting: Preparation of results for submission to a journal with an impact factor >10. (success = editorial acceptance of manuscript) July - October 2016 ;

Related Conditions & MeSH terms

• Arthritis
• Arthritis, Infectious
• Osteoarthritis
• Rheumatoid Arthritis
• Septic Arthritis

• NCT number: NCT02565160
• Study type: Observational
• Source: Imperial College London
• Status: Active, not recruiting
• Start date: October 2015
• Completion date: October 2021