Literature DB >> 16239781

The Mark Coventry Award: white blood cell gene expression: a new approach toward the study and diagnosis of infection.

Carl Deirmengian1, Jess H Lonner, Robert E Booth.   

Abstract

UNLABELLED: We introduce a new genomic approach toward the study and diagnosis of infection. Our purpose is to show that synovial fluid white blood cells express a gene expression "signature" that differentiates septic from aseptic inflammation. Synovial fluid was aspirated from patients with acute Staphylococcus aureus infections or acute gout of the knee. Differential cell counts included predominantly neutrophils in all aspirates. Ribonucleic acid was isolated from the synovial-fluid white blood cells and was analyzed on the Affymetrix U133A GeneChip. The neutrophils from a patient whose knee is infected with Staphylococcus aureus can be distinguished from the neutrophils found in gout by nature of their differential gene expression. There are 1615 genes that have an expression level that is significantly different between the groups. The 124 most significant differences are in genes from immune pathways including the interleukin pathway, the tumor necrosis factor pathway, and the antibacterial response. The neutrophils at a site of infection (Staphylococcus aureus) express different genes than the neutrophils at a site of aseptic inflammation (gout). To our knowledge, this is the first in vivo demonstration of this principle. The differences in neutrophil gene expression may be used to develop simple laboratory tests that distinguish the causes of inflammation in a total joint arthroplasty. LEVEL OF EVIDENCE: Diagnostic study, Level II-1. See the Guidelines for Authors for a complete description of levels of evidence.

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Year:  2005        PMID: 16239781     DOI: 10.1097/01.blo.0000185756.17401.32

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  19 in total

Review 1.  [Diagnostic strategies in cases of suspected periprosthetic infection of the knee. A review of the literature and current recommendations].

Authors:  H Gollwitzer; P Diehl; L Gerdesmeyer; W Mittelmeier
Journal:  Orthopade       Date:  2006-09       Impact factor: 1.087

2.  From Bench to Bedside: Alpha-defensing--The Biggest Thing in Joint Replacement Infections Since Prophylactic Antibiotics?

Authors:  Benjamin K Potter
Journal:  Clin Orthop Relat Res       Date:  2015-04-14       Impact factor: 4.176

Review 3.  [Periprosthetic infections in patients with rheumatism : A challenge].

Authors:  J Fussi; C Perka; L Renner
Journal:  Z Rheumatol       Date:  2016-12       Impact factor: 1.372

4.  Serum interleukin 6 could be a valuable initial diagnostic tool in prosthetic knee joint infections.

Authors:  Isaac Majors; Vivek S Jagadale
Journal:  Eur J Orthop Surg Traumatol       Date:  2019-07-26

5.  Synovial fluid biomarkers for periprosthetic infection.

Authors:  Carl Deirmengian; Nadim Hallab; Abdul Tarabishy; Craig Della Valle; Joshua J Jacobs; Jess Lonner; Robert E Booth
Journal:  Clin Orthop Relat Res       Date:  2010-08       Impact factor: 4.176

6.  Human transcriptomic response to periprosthetic joint infection.

Authors:  Thao L Masters; Aditya V Bhagwate; Mrunal K Dehankar; Kerryl E Greenwood-Quaintance; Matthew P Abdel; Jay N Mandrekar; Robin Patel
Journal:  Gene       Date:  2022-03-17       Impact factor: 3.688

7.  High performance of α-defensin lateral flow assay (Synovasure) in the diagnosis of chronic knee prosthetic infections.

Authors:  Giovanni Balato; Vincenzo Franceschini; Tiziana Ascione; Alfredo Lamberti; Michele D'Amato; Andrea Ensini; Andrea Baldini
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2017-10-07       Impact factor: 4.342

8.  Synovial Cytokines and the MSIS Criteria Are Not Useful for Determining Infection Resolution After Periprosthetic Joint Infection Explantation.

Authors:  Salvatore J Frangiamore; Marcelo B P Siqueira; Anas Saleh; Thomas Daly; Carlos A Higuera; Wael K Barsoum
Journal:  Clin Orthop Relat Res       Date:  2016-07       Impact factor: 4.176

9.  Visualizing the indefinable: three-dimensional complexity of 'infectious diseases'.

Authors:  Gabriel Leitner; Shlomo E Blum; Ariel L Rivas
Journal:  PLoS One       Date:  2015-04-14       Impact factor: 3.240

10.  Diagnosing periprosthetic joint infection: has the era of the biomarker arrived?

Authors:  Carl Deirmengian; Keith Kardos; Patrick Kilmartin; Alexander Cameron; Kevin Schiller; Javad Parvizi
Journal:  Clin Orthop Relat Res       Date:  2014-11       Impact factor: 4.176

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