Literature DB >> 31644522

LTF, PRTN3, and MNDA in Synovial Fluid as Promising Biomarkers for Periprosthetic Joint Infection: Identification by Quadrupole Orbital-Trap Mass Spectrometry.

Chi Wang1, Qi Wang1, Rui Li1, Jun Qin2, Lei Song2, Qian Zhang1, Mingwei Liu2, Jiying Chen1, Chengbin Wang1.   

Abstract

BACKGROUND: Diagnosing periprosthetic joint infection (PJI) requires various laboratory and clinical criteria. The purpose of this study was to explore novel biomarkers that could rapidly diagnose PJI with high accuracy.
METHODS: In this retrospective study of prospectively collected samples, 50 synovial fluid aspirates, 20 from the hip and 30 from the knee, were collected before surgery; 25 of the patients were diagnosed as having aseptic loosening (non-PJI) and 25, as having PJI according to the Musculoskeletal Infection Society criteria. A quadrupole orbital-trap mass spectrometry (MS) instrument was used to compare expression of proteins in patients with and without PJI. Proteins that were most efficacious for diagnosis of PJI were then determined using prediction analysis of microarray software and a random forest model. The most promising proteins were selected, and altered expression of these selected proteins was verified by ELISA (enzyme-linked immunosorbent assay) in an extended sample cohort.
RESULTS: A total of 256 proteins were significantly upregulated (≥3.0-fold) and 14 proteins were downregulated in synovial fluid of patients with PJI compared with patients without PJI. The 3 most promising proteins were lactoferrin (LTF), polymorphonuclear leukocyte serine protease 3 (PRTN3), and myeloid nuclear differentiation antigen (MNDA). When MS was used for diagnosis of PJI, the area under the curve was 0.9888 for LTF, 0.9488 for PRTN3, and 0.9632 for MNDA. ELISA results verified that LTF, MNDA, and PRTN3 were sensitive, while LTF and MNDA were specific, for diagnosis of PJI.
CONCLUSIONS: This proteomic study identified a previously noted protein and 2 novel candidate proteins as promising synovial fluid biomarkers for PJI diagnosis, and they should be further validated in future clinical trials. LEVEL OF EVIDENCE: Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.

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Year:  2019        PMID: 31644522     DOI: 10.2106/JBJS.18.01483

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  6 in total

1.  Activated polymorphonuclear derived extracellular vesicles are potential biomarkers of periprosthetic joint infection.

Authors:  Imre Sallai; Nikolett Marton; Attila Szatmári; Ágnes Kittel; György Nagy; Edit I Buzás; Delaram Khamari; Zsolt Komlósi; Katalin Kristóf; László Drahos; Lilla Turiák; Simon Sugár; Dániel Sándor Veres; Daniel Kendoff; Ákos Zahár; Gábor Skaliczki
Journal:  PLoS One       Date:  2022-05-09       Impact factor: 3.752

2.  Management of Periprosthetic Hip and Knee Joint Infections With a Known Sinus Tract-A Single-Center Experience.

Authors:  Benjamin Davis; Amy Ford; Adam M Holzmeister; Harold W Rees; Paul D Belich
Journal:  Arthroplast Today       Date:  2021-03-11

3.  A 92 protein inflammation panel performed on sonicate fluid differentiates periprosthetic joint infection from non-infectious causes of arthroplasty failure.

Authors:  Cody R Fisher; Harold I Salmons; Jay Mandrekar; Kerryl E Greenwood-Quaintance; Matthew P Abdel; Robin Patel
Journal:  Sci Rep       Date:  2022-09-27       Impact factor: 4.996

4.  Globulin, the albumin-to-globulin ratio, and fibrinogen perform well in the diagnosis of Periprosthetic joint infection.

Authors:  Huhu Wang; Haikang Zhou; Rendong Jiang; Zhenhao Qian; Fei Wang; Li Cao
Journal:  BMC Musculoskelet Disord       Date:  2021-06-25       Impact factor: 2.362

5.  Synovial bone sialoprotein indicates aseptic failure in total joint arthroplasty.

Authors:  André Busch; Marcus Jäger; Florian Dittrich; Alexander Wegner; Stefan Landgraeber; Marcel Haversath
Journal:  J Orthop Surg Res       Date:  2020-05-27       Impact factor: 2.359

6.  Identification of key biomarkers in steroid-induced osteonecrosis of the femoral head and their correlation with immune infiltration by bioinformatics analysis.

Authors:  Jun Zhao; Xingshi Zhang; Junjie Guan; Yu Su; Jizhao Jiang
Journal:  BMC Musculoskelet Disord       Date:  2022-01-18       Impact factor: 2.362

  6 in total

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