Related Experiment Video
Updated: Nov 30, 2025

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction
Published on: December 3, 2017
Noninvasive diagnostic of periprosthetic joint infection by urinary peptide markers: A preliminary study
Mohamed Omar1, Henning Windhagen2, Christian Krettek1
1Trauma Department, Hannover Medical School, Hanover, Germany.
Abstract:
Previous immunohistochemical analyses revealed altered protein expression in the periprosthetic membranes of patients with periprosthetic joint infection (PJI). Proteins are degraded to peptides that may pass the blood-kidney barrier depending on their size. The aim of this study was to evaluate if PJI can be diagnosed based on the urinary peptide excretion pattern. Thirty patients undergoing removal of their hip or knee prostheses due to septic or aseptic loosening were enrolled. Specimen sampling was performed according to the MusculoSkeletal Infection Society criteria. A urinary sample was analyzed before surgery using capillary electrophoresis coupled with mass spectrometry. Peptides with differential urinary excretion between groups were used to establish a multimarker model. A total of 137 peptides were differentially excreted between the septic and aseptic groups. The majority of identified peptide markers were fragments of structural extracellular matrix proteins, potentially due to their origin from the periprosthetic membrane. A marker model with 83 peptides achieved the best diagnostic performance for diagnosing PJI with a sensitivity of 95%, a specificity of 90%, and an area under the curve of 0.96. The altered protein expression pattern in the periprosthetic membrane of PJI is most likely reflected in excreted urinary peptides. Thus, the diagnosis of PJI by urinary peptide markers seems to be a reasonable approach.
Insights
Diagnosing periprosthetic joint infection (PJI) may be possible using urinary peptide patterns. This study identified specific urinary peptides that accurately detect PJI, offering a potential new diagnostic method.
Area of Science:
- Biomarkers
- Proteomics
- Clinical Diagnostics
Background:
- Periprosthetic joint infection (PJI) diagnosis is challenging.
- Altered protein expression in periprosthetic membranes is known.
- Peptides may be excreted in urine, crossing the kidney barrier.
Purpose of the Study:
- To investigate urinary peptide excretion patterns for PJI diagnosis.
- To develop a diagnostic model based on urinary peptides.
- To assess the feasibility of non-invasive PJI detection.
Main Methods:
- Analysis of urinary samples from 30 patients undergoing prosthesis removal.
- Capillary electrophoresis coupled with mass spectrometry for peptide profiling.
- Development of a multimarker model using differentially excreted peptides.
Main Results:
- 137 peptides showed differential excretion between septic and aseptic groups.
- Most markers were fragments of extracellular matrix proteins.
- An 83-peptide model achieved 95% sensitivity and 90% specificity for PJI detection (AUC 0.96).
Conclusions:
- Urinary peptide profiles reflect periprosthetic membrane protein alterations in PJI.
- Urinary peptide markers show promise for non-invasive PJI diagnosis.
- This approach offers a potential new diagnostic strategy for PJI.
Related Concept Videos
Acute Pyelonephritis II: Diagnostic Studies and Management
Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care

