Completed Bones, Joints & Muscles NIHR-supported project Brain & Nervous System

Identification of biomarkers for early diagnosis of prosthetic joint infection

In plain English

AI plain-English summary

Around 1–2% of hip and knee replacements fail because of an infection that is nearly impossible to distinguish from routine implant loosening without invasive surgery. This matters because surgeons currently cannot tell, from standard tests or scans, whether a painful joint is infected or simply loose. The only reliable way to find out is to open the joint and take tissue samples—a major operation that carries its own risks. Patients suffer additional surgery and prolonged courses of broad-spectrum antibiotics, which fuel antimicrobial resistance. The NHS also bears the high cost of these revision procedures. The research team will use nanopore sequencing to read the genetic material in fluid and tissue samples from patients already undergoing revision surgery. By comparing samples from infected joints with those revised for non-infectious reasons, they aim to identify microbial DNA and host immune signals that reliably flag infection. If successful, this work could produce a simple diagnostic test that spares patients unnecessary surgery, reduces antibiotic overuse, and saves the NHS significant expense. The biomarkers identified here would allow clinicians to treat infection early, before it destroys the implant and surrounding bone.

View original technical description
Prosthetic joint infection (PJI) represents one of the most common reasons for failure among hip and knee arthroplasty, with an incidence of around 1-2%. Diagnosing infection can be challenging, as loosening of cement and metal reactions can be impossible to differentiate without invasive procedures. Given the significant costs to the NHS for corrective revision surgery, the added suffering and risks to patients from surgery, and the risk of enhancing antimicrobial resistance through the use of broad-spectrum antibiotics, a predictive test for early diagnosis of infection is required. In this study, we will use nanopore sequencing to identify potential biomarkers for PJI in samples collected from patients undergoing revision surgery. We will explore the microbes present, along with the host’s immunological response, to identify biomarkers in infected samples compared to those revised for other reasons. These will provide novel biomarkers for diagnosis and early treatment of PJI for the future.

Researchers

Sam Robson (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Developing an algorithm to predict risk of joint replacement failure
Evaluating the clinical performance and utility of the BioFire JI Panel in the diagnosis of acute native joint and prosthetic joint infection
Developing a molecular tool to stratify the acute joint presentation: facilitating early diagnosis of septic arthritis.
Investigation of the Effects of Engineered Surface Texture on the Formation of Biofilms Leading to Periprosthetic Joint Infection
Reducing the failure rate of artificial replacement hips and knees by understanding the mechanism of adverse biological reactions that currently cause

Original classification

Microbiology, Immunology and Infection (MII)

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.