ArticleBiomedicines2020
High-Dimensional Analysis of Immune Cell Composition Predicts Periprosthetic Joint Infections and Dissects Its Pathophysiology.
Article in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 21 citations in OpenAlex.
- Significant alterations in peripheral lymphocyte subsets and immune-related protein profiles in patients with periprosthetic joint infection.Frontiers in immunology · 2025Article
- Staphylococcus epidermidis alters macrophage polarization and phagocytic uptake by extracellular DNA release in vitro.NPJ biofilms and microbiomes · 2024Article
- Identification of immune infiltration and immune-related biomarkers of periprosthetic joint infection.Heliyon · 2024Article
- Osteomyelitis is associated with increased anti-inflammatory response and immune exhaustion.Frontiers in immunology · 2024Article
- Mass spectrometry-based proteomic profiling of sonicate fluid differentiates Staphylococcus aureus periprosthetic joint infection from non-infectious failure: A pilot study.Proteomics. Clinical applications · 2023Article
- Recent Advancements in Nanomaterials: A Promising Way to Manage Neurodegenerative Disorders.Molecular diagnosis & therapy · 2023Review
- Host Immune Regulation in Implant-Associated Infection (IAI): What Does the Current Evidence Provide Us to Prevent or Treat IAI?Bioengineering (Basel, Switzerland) · 2023Review
- Profiling the Immune Response to Periprosthetic Joint Infection and Non-Infectious Arthroplasty Failure.Antibiotics (Basel, Switzerland) · 2023Review
- Immune Response to Persistent Staphyloccocus Aureus Periprosthetic Joint Infection in a Mouse Tibial Implant Model.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022Article
- Soluble Pecam-1 as a Biomarker in Periprosthetic Joint Infection.Journal of clinical medicine · 2021Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
Abstract
Accurate diagnosis of periprosthetic joint infections (PJI) is one of the most widely researched areas in modern orthopedic endoprosthesis. However, our understanding of the immunological basis of this severe complication is still limited. In this study, we developed a flow cytometric approach to precisely characterize the immune cell composition in periprosthetic joints. Using high-dimensional multi-parametric data, we defined, for the first time, the local immune cell populations of artificial joints. We identified significant differences in the cellular distribution between infected and non-infected samples, and revealed that myeloid-derived suppressor cells (MDSCs) act as potential regulators of infiltrating immune cells in PJI. Further, we developed an algorithm to predict septic and aseptic samples with high sensitivity and specificity, that may serve as an indispensable addition to the current criteria of the Musculoskeletal Infection Society. This study describes a novel approach to flow cytometrically analyze the immune cell infiltrate of joint fluid that not only improves our understanding of the pathophysiology of PJI, but also enables the development of a novel screening tool to predict infection status. Our data further suggest that pharmacological targeting of MDSCs represents a novel strategy for addressing PJI.
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Registered trials
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