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Identification of molecular subgroups in osteomyelitis induced by staphylococcus aureus infection through gene expression profiles

BACKGROUND: Staphylococcus aureus (S. aureus) infection-induced osteomyelitis (OM) is an inflammatory bone disease accompanied by persistent bone destruction, and the treatment is challenging because of its tendency to recur. Present study was aimed to explore the molecular subgroups of S. aureus in...

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Autores principales: Shi, Xiangwen, Ni, Haonan, Tang, Linmeng, Li, Mingjun, Wu, Yipeng, Xu, Yongqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304621/
https://www.ncbi.nlm.nih.gov/pubmed/37370094
http://dx.doi.org/10.1186/s12920-023-01568-x
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author Shi, Xiangwen
Ni, Haonan
Tang, Linmeng
Li, Mingjun
Wu, Yipeng
Xu, Yongqing
author_facet Shi, Xiangwen
Ni, Haonan
Tang, Linmeng
Li, Mingjun
Wu, Yipeng
Xu, Yongqing
author_sort Shi, Xiangwen
collection PubMed
description BACKGROUND: Staphylococcus aureus (S. aureus) infection-induced osteomyelitis (OM) is an inflammatory bone disease accompanied by persistent bone destruction, and the treatment is challenging because of its tendency to recur. Present study was aimed to explore the molecular subgroups of S. aureus infection-induced OM and to deepen the mechanistic understanding for molecularly targeted treatment of OM. METHODS: Integration of 164 OM samples and 60 healthy samples from three datasets of the Gene Expression Omnibus (GEO) database. OM patients were classified into different molecular subgroups based on unsupervised algorithms and correlations of clinical characteristics between subgroups were analyzed. Next, The CIBERSORT algorithm was used to evaluate the proportion of immune cell infiltration in different OM subgroups. Weighted gene co-expression analysis (WGCNA) was used to identify different gene modules and explore the relationship with clinical characteristics, and further annotated OM subgroups and gene modules by the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. RESULTS: Two subgroups with excellent consistency were identified in this study, subgroup and hospital length of stay were independent predictors of OM. Compared with subgroup I, OM patients in subgroup II had longer hospital length of stay and more severe disease. Meanwhile, the infiltration proportions of monocytes and macrophages M0 were higher in patients of OM subgroup II. Finally, combined with the characteristics of the KEGG enrichment modules, the expression of osteoclast differentiation-related genes such as CTSK was upregulated in OM subgroup II, which may be closely associated with more severe OM patients. CONCLUSION: The current study showed that OM subgroup II had longer hospital length of stay and more severe disease, the osteoclast differentiation pathway and the main target CTSK contribute to our deeper understanding for the molecular mechanisms associated with S. aureus infection-induced OM, and the construction of molecular subgroups suggested the necessity for different subgroups of patients to receive individualized treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01568-x.
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spelling pubmed-103046212023-06-29 Identification of molecular subgroups in osteomyelitis induced by staphylococcus aureus infection through gene expression profiles Shi, Xiangwen Ni, Haonan Tang, Linmeng Li, Mingjun Wu, Yipeng Xu, Yongqing BMC Med Genomics Research BACKGROUND: Staphylococcus aureus (S. aureus) infection-induced osteomyelitis (OM) is an inflammatory bone disease accompanied by persistent bone destruction, and the treatment is challenging because of its tendency to recur. Present study was aimed to explore the molecular subgroups of S. aureus infection-induced OM and to deepen the mechanistic understanding for molecularly targeted treatment of OM. METHODS: Integration of 164 OM samples and 60 healthy samples from three datasets of the Gene Expression Omnibus (GEO) database. OM patients were classified into different molecular subgroups based on unsupervised algorithms and correlations of clinical characteristics between subgroups were analyzed. Next, The CIBERSORT algorithm was used to evaluate the proportion of immune cell infiltration in different OM subgroups. Weighted gene co-expression analysis (WGCNA) was used to identify different gene modules and explore the relationship with clinical characteristics, and further annotated OM subgroups and gene modules by the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. RESULTS: Two subgroups with excellent consistency were identified in this study, subgroup and hospital length of stay were independent predictors of OM. Compared with subgroup I, OM patients in subgroup II had longer hospital length of stay and more severe disease. Meanwhile, the infiltration proportions of monocytes and macrophages M0 were higher in patients of OM subgroup II. Finally, combined with the characteristics of the KEGG enrichment modules, the expression of osteoclast differentiation-related genes such as CTSK was upregulated in OM subgroup II, which may be closely associated with more severe OM patients. CONCLUSION: The current study showed that OM subgroup II had longer hospital length of stay and more severe disease, the osteoclast differentiation pathway and the main target CTSK contribute to our deeper understanding for the molecular mechanisms associated with S. aureus infection-induced OM, and the construction of molecular subgroups suggested the necessity for different subgroups of patients to receive individualized treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01568-x. BioMed Central 2023-06-27 /pmc/articles/PMC10304621/ /pubmed/37370094 http://dx.doi.org/10.1186/s12920-023-01568-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shi, Xiangwen
Ni, Haonan
Tang, Linmeng
Li, Mingjun
Wu, Yipeng
Xu, Yongqing
Identification of molecular subgroups in osteomyelitis induced by staphylococcus aureus infection through gene expression profiles
title Identification of molecular subgroups in osteomyelitis induced by staphylococcus aureus infection through gene expression profiles
title_full Identification of molecular subgroups in osteomyelitis induced by staphylococcus aureus infection through gene expression profiles
title_fullStr Identification of molecular subgroups in osteomyelitis induced by staphylococcus aureus infection through gene expression profiles
title_full_unstemmed Identification of molecular subgroups in osteomyelitis induced by staphylococcus aureus infection through gene expression profiles
title_short Identification of molecular subgroups in osteomyelitis induced by staphylococcus aureus infection through gene expression profiles
title_sort identification of molecular subgroups in osteomyelitis induced by staphylococcus aureus infection through gene expression profiles
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304621/
https://www.ncbi.nlm.nih.gov/pubmed/37370094
http://dx.doi.org/10.1186/s12920-023-01568-x
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