Immune checkpoint molecules as biomarkers of Staphylococcus aureus bone infection and clinical outcome

Abstract Background Staphylococcus aureus prosthetic joint infections (PJIs) are broadly considered incurable, and clinical diagnostics that guide conservative vs. aggressive surgical treatments don’t exist. Understanding the human T cell response to chronic S. aureus osteomyelitis may lead to improved patient outcomes and inform new therapeutic strategies. Methods We performed multi-omics studies, including flow cytometry, scRNA-seq, and immunofluorescence in a humanized NSG-SGM3 BLT mouse model and with human clinical samples to characterize the human T cell landscape in S. aureus osteomyelitis. Results Human T cells are remarkably heterogeneous in gene expression and abundance. Notably, the CD4 Th1/Th17 cells comprise a mixed population of activated, progenitor-exhausted, and terminally-exhausted states with increased expression of immune checkpoint proteins (LAG-3, TIM-3). Importantly, these proteins are upregulated in the serum and the bone marrow of patients with S. aureus PJI. In a clinically informative pilot cohort, a multiparametric diagnostic integrating high serum immune checkpoint protein levels with low proinflammatory cytokine levels (IFN-γ, IL-2, TNF-α, IL-17) reveals that TIM-3 was highly predictive of adverse disease outcomes (AUC = 0.89). Conclusions T cell impairment, marked by immune checkpoint expression and exhaustion, could serve as a functional biomarker for S. aureus PJI disease outcome, and therapeutic blockade of checkpoint proteins may represent a potential strategy to improve outcomes following surgery.

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Publication Details

Journal
Communications Medicine
Published
2026-08-27
DOI
https://doi.org/10.1038/s43856-026-01835-9
Citations
2
Primary Topic
Orthopedic Infections and Treatments
Type
article
Field-Weighted Citation Impact
16.87

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article

Immune checkpoint molecules as biomarkers of Staphylococcus aureus bone infection and clinical outcome

Stephen L. Kates, Motoo Saito, Javier Rangel‐Moreno, Armando Gamboa‐Domínguez et al.
2 citations
Communications Medicine
Orthopedic Infections and Treatments
16.87
article

Immune checkpoint molecules as biomarkers of Staphylococcus aureus bone infection and clinical outcome

Stephen L. Kates, Motoo Saito, Javier Rangel‐Moreno, Armando Gamboa‐Domínguez, Christopher A. Beck, Gowrishankar Muthukrishnan, Edward M. Schwarz, Himanshu Meghwani, Enrique Becerril‐Villanueva, Richard A. Proctor, Katya McDonald, Jennifer Bruno, H. Mark Kenney, Alex K. Grier
article en
2 citations

Abstract

Abstract Background Staphylococcus aureus prosthetic joint infections (PJIs) are broadly considered incurable, and clinical diagnostics that guide conservative vs. aggressive surgical treatments don’t exist. Understanding the human T cell response to chronic S. aureus osteomyelitis may lead to improved patient outcomes and inform new therapeutic strategies. Methods We performed multi-omics studies, including flow cytometry, scRNA-seq, and immunofluorescence in a humanized NSG-SGM3 BLT mouse model and with human clinical samples to characterize the human T cell landscape in S. aureus osteomyelitis. Results Human T cells are remarkably heterogeneous in gene expression and abundance. Notably, the CD4 Th1/Th17 cells comprise a mixed population of activated, progenitor-exhausted, and terminally-exhausted states with increased expression of immune checkpoint proteins (LAG-3, TIM-3). Importantly, these proteins are upregulated in the serum and the bone marrow of patients with S. aureus PJI. In a clinically informative pilot cohort, a multiparametric diagnostic integrating high serum immune checkpoint protein levels with low proinflammatory cytokine levels (IFN-γ, IL-2, TNF-α, IL-17) reveals that TIM-3 was highly predictive of adverse disease outcomes (AUC = 0.89). Conclusions T cell impairment, marked by immune checkpoint expression and exhaustion, could serve as a functional biomarker for S. aureus PJI disease outcome, and therapeutic blockade of checkpoint proteins may represent a potential strategy to improve outcomes following surgery.

Communications Medicine
University of Wisconsin–Madison (US), Virginia Commonwealth University (US), Cornell University (US), University of Rochester Medical Center (US), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (MX), Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (MX)
University of Rochester, National Institutes of Health, Medical Center, University of Rochester, National Institute of Arthritis and Musculoskeletal and Skin Diseases
Good health and well-being
Openalex Percentile: Top 2%
Orthopedic Infections and Treatments
16.87
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