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Gene expression of S100a8/a9 predicts Staphylococcus aureus-induced septic arthritis in mice

Septic arthritis is the most aggressive joint disease associated with high morbidity and mortality. The interplay of the host immune system with the invading pathogens impacts the pathophysiology of septic arthritis. Early antibiotic treatment is crucial for a better prognosis to save the patients f...

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Autores principales: Deshmukh, Meghshree, Subhash, Santhilal, Hu, Zhicheng, Mohammad, Majd, Jarneborn, Anders, Pullerits, Rille, Jin, Tao, Kopparapu, Pradeep Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10307981/
https://www.ncbi.nlm.nih.gov/pubmed/37396347
http://dx.doi.org/10.3389/fmicb.2023.1146694
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author Deshmukh, Meghshree
Subhash, Santhilal
Hu, Zhicheng
Mohammad, Majd
Jarneborn, Anders
Pullerits, Rille
Jin, Tao
Kopparapu, Pradeep Kumar
author_facet Deshmukh, Meghshree
Subhash, Santhilal
Hu, Zhicheng
Mohammad, Majd
Jarneborn, Anders
Pullerits, Rille
Jin, Tao
Kopparapu, Pradeep Kumar
author_sort Deshmukh, Meghshree
collection PubMed
description Septic arthritis is the most aggressive joint disease associated with high morbidity and mortality. The interplay of the host immune system with the invading pathogens impacts the pathophysiology of septic arthritis. Early antibiotic treatment is crucial for a better prognosis to save the patients from severe bone damage and later joint dysfunction. To date, there are no specific predictive biomarkers for septic arthritis. Transcriptome sequencing analysis identified S100a8/a9 genes to be highly expressed in septic arthritis compared to non-septic arthritis at the early course of infection in an Staphylococcus aureus septic arthritis mouse model. Importantly, downregulation of S100a8/a9 mRNA expression at the early course of infection was noticed in mice infected with the S. aureus Sortase A/B mutant strain totally lacking arthritogenic capacity compared with the mice infected with parental S. aureus arthritogenic strain. The mice infected intra-articularly with the S. aureus arthritogenic strain significantly increased S100a8/a9 protein expression levels in joints over time. Intriguingly, the synthetic bacterial lipopeptide Pam2CSK4 was more potent than Pam3CSK4 in inducing S100a8/a9 release upon intra-articular injection of these lipopeptides into the mouse knee joints. Such an effect was dependent on the presence of monocytes/macrophages. In conclusion, S100a8/a9 gene expression may serve as a potential biomarker to predict septic arthritis, enabling the development of more effective treatment strategies.
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spelling pubmed-103079812023-06-30 Gene expression of S100a8/a9 predicts Staphylococcus aureus-induced septic arthritis in mice Deshmukh, Meghshree Subhash, Santhilal Hu, Zhicheng Mohammad, Majd Jarneborn, Anders Pullerits, Rille Jin, Tao Kopparapu, Pradeep Kumar Front Microbiol Microbiology Septic arthritis is the most aggressive joint disease associated with high morbidity and mortality. The interplay of the host immune system with the invading pathogens impacts the pathophysiology of septic arthritis. Early antibiotic treatment is crucial for a better prognosis to save the patients from severe bone damage and later joint dysfunction. To date, there are no specific predictive biomarkers for septic arthritis. Transcriptome sequencing analysis identified S100a8/a9 genes to be highly expressed in septic arthritis compared to non-septic arthritis at the early course of infection in an Staphylococcus aureus septic arthritis mouse model. Importantly, downregulation of S100a8/a9 mRNA expression at the early course of infection was noticed in mice infected with the S. aureus Sortase A/B mutant strain totally lacking arthritogenic capacity compared with the mice infected with parental S. aureus arthritogenic strain. The mice infected intra-articularly with the S. aureus arthritogenic strain significantly increased S100a8/a9 protein expression levels in joints over time. Intriguingly, the synthetic bacterial lipopeptide Pam2CSK4 was more potent than Pam3CSK4 in inducing S100a8/a9 release upon intra-articular injection of these lipopeptides into the mouse knee joints. Such an effect was dependent on the presence of monocytes/macrophages. In conclusion, S100a8/a9 gene expression may serve as a potential biomarker to predict septic arthritis, enabling the development of more effective treatment strategies. Frontiers Media S.A. 2023-06-15 /pmc/articles/PMC10307981/ /pubmed/37396347 http://dx.doi.org/10.3389/fmicb.2023.1146694 Text en Copyright © 2023 Deshmukh, Subhash, Hu, Mohammad, Jarneborn, Pullerits, Jin and Kopparapu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Deshmukh, Meghshree
Subhash, Santhilal
Hu, Zhicheng
Mohammad, Majd
Jarneborn, Anders
Pullerits, Rille
Jin, Tao
Kopparapu, Pradeep Kumar
Gene expression of S100a8/a9 predicts Staphylococcus aureus-induced septic arthritis in mice
title Gene expression of S100a8/a9 predicts Staphylococcus aureus-induced septic arthritis in mice
title_full Gene expression of S100a8/a9 predicts Staphylococcus aureus-induced septic arthritis in mice
title_fullStr Gene expression of S100a8/a9 predicts Staphylococcus aureus-induced septic arthritis in mice
title_full_unstemmed Gene expression of S100a8/a9 predicts Staphylococcus aureus-induced septic arthritis in mice
title_short Gene expression of S100a8/a9 predicts Staphylococcus aureus-induced septic arthritis in mice
title_sort gene expression of s100a8/a9 predicts staphylococcus aureus-induced septic arthritis in mice
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10307981/
https://www.ncbi.nlm.nih.gov/pubmed/37396347
http://dx.doi.org/10.3389/fmicb.2023.1146694
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