A 92 protein inflammation panel performed on sonicate fluid differentiates periprosthetic joint infection from

Cody R Fisher1,2, Harold I Salmons3, Jay Mandrekar2,4

  • 1Department of Immunology, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN, USA.

Scientific Reports
|September 27, 2022
PubMed

Insights

Proteomic profiling of sonicate fluid can differentiate periprosthetic joint infection (PJI) from non-infectious arthroplasty failure (NIAF). This study identified specific proteins that distinguish PJI, aiding in diagnosis and understanding infection mechanisms.

Area of Science:

  • Biochemistry
  • Immunology
  • Orthopedic Surgery

Background:

  • Periprosthetic joint infection (PJI) is a severe complication of total joint arthroplasty, often requiring revision surgery and long-term antibiotics.
  • Current diagnostic methods for PJI lack perfection, highlighting the need for improved diagnostic assays.
  • Proteomic analysis of sonicate fluid presents a promising avenue for distinguishing PJI from non-infectious arthroplasty failure (NIAF).

Purpose of the Study:

  • To investigate the potential of proteomic profiling of sonicate fluid to differentiate PJI from NIAF.
  • To identify specific protein biomarkers indicative of PJI and its subtypes.
  • To explore the differences in protein expression related to various causative bacterial species in PJI.

Main Methods:

  • Analysis of 200 sonicate fluid samples (110 PJI, 90 NIAF) using Olink Proteomics' 92-protein Inflammation Panel via proximity extension assay.
  • Comparison of protein expression profiles between PJI and NIAF groups, as well as between different subtypes of PJI and NIAF.
  • Receiver operative characteristic (ROC) curve analysis to assess the diagnostic accuracy of identified proteins and their combinations.

Main Results:

  • Thirty-seven of 92 proteins showed differential expression between PJI and NIAF sonicate fluid.
  • No significant protein expression differences were found between staphylococcal versus non-staphylococcal PJI or between different NIAF types.
  • IL-17A and CCL11 levels differed between PJI caused by specific bacterial species (e.g., S. aureus vs. S. epidermidis).

Conclusions:

  • Proteomic profiling of sonicate fluid is effective in differentiating PJI from NIAF.
  • Specific protein biomarkers can aid in the diagnosis of PJI.
  • This approach enhances understanding of the immune response in arthroplasty failure and infection.