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Diagnostic signature, subtype classification, and immune infiltration of key m6A regulators in osteomyelitis patients
Background: As a recurrent inflammatory bone disease, the treatment of osteomyelitis is always a tricky problem in orthopaedics. N6-methyladenosine (m6A) regulators play significant roles in immune and inflammatory responses. Nevertheless, the function of m6A modification in osteomyelitis remains un...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760713/ https://www.ncbi.nlm.nih.gov/pubmed/36544487 http://dx.doi.org/10.3389/fgene.2022.1044264 |
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author | Shi, Xiangwen Ni, Haonan Wu, Yipeng Guo, Minzheng Wang, Bin Zhang, Yue Zhang, Bihuan Xu, Yongqing |
author_facet | Shi, Xiangwen Ni, Haonan Wu, Yipeng Guo, Minzheng Wang, Bin Zhang, Yue Zhang, Bihuan Xu, Yongqing |
author_sort | Shi, Xiangwen |
collection | PubMed |
description | Background: As a recurrent inflammatory bone disease, the treatment of osteomyelitis is always a tricky problem in orthopaedics. N6-methyladenosine (m6A) regulators play significant roles in immune and inflammatory responses. Nevertheless, the function of m6A modification in osteomyelitis remains unclear. Methods: Based on the key m6A regulators selected by the GSE16129 dataset, a nomogram model was established to predict the incidence of osteomyelitis by using the random forest (RF) method. Through unsupervised clustering, osteomyelitis patients were divided into two m6A subtypes, and the immune infiltration of these subtypes was further evaluated. Validating the accuracy of the diagnostic model for osteomyelitis and the consistency of clustering based on the GSE30119 dataset. Results: 3 writers of Methyltransferase-like 3 (METTL3), RNA-binding motif protein 15B (RBM15B) and Casitas B-lineage proto-oncogene like 1 (CBLL1) and three readers of YT521-B homology domain-containing protein 1 (YTHDC1), YT521-B homology domain-containing family 3 (YTHDF2) and Leucine-rich PPR motif-containing protein (LRPPRC) were identified by difference analysis, and their Mean Decrease Gini (MDG) scores were all greater than 10. Based on these 6 significant m6A regulators, a nomogram model was developed to predict the incidence of osteomyelitis, and the fitting curve indicated a high degree of fit in both the test and validation groups. Two m6A subtypes (cluster A and cluster B) were identified by the unsupervised clustering method, and there were significant differences in m6A scores and the abundance of immune infiltration between the two m6A subtypes. Among them, two m6A regulators (METTL3 and LRPPRC) were closely related to immune infiltration in patients with osteomyelitis. Conclusion: m6A regulators play key roles in the molecular subtypes and immune response of osteomyelitis, which may provide assistance for personalized immunotherapy in patients with osteomyelitis. |
format | Online Article Text |
id | pubmed-9760713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97607132022-12-20 Diagnostic signature, subtype classification, and immune infiltration of key m6A regulators in osteomyelitis patients Shi, Xiangwen Ni, Haonan Wu, Yipeng Guo, Minzheng Wang, Bin Zhang, Yue Zhang, Bihuan Xu, Yongqing Front Genet Genetics Background: As a recurrent inflammatory bone disease, the treatment of osteomyelitis is always a tricky problem in orthopaedics. N6-methyladenosine (m6A) regulators play significant roles in immune and inflammatory responses. Nevertheless, the function of m6A modification in osteomyelitis remains unclear. Methods: Based on the key m6A regulators selected by the GSE16129 dataset, a nomogram model was established to predict the incidence of osteomyelitis by using the random forest (RF) method. Through unsupervised clustering, osteomyelitis patients were divided into two m6A subtypes, and the immune infiltration of these subtypes was further evaluated. Validating the accuracy of the diagnostic model for osteomyelitis and the consistency of clustering based on the GSE30119 dataset. Results: 3 writers of Methyltransferase-like 3 (METTL3), RNA-binding motif protein 15B (RBM15B) and Casitas B-lineage proto-oncogene like 1 (CBLL1) and three readers of YT521-B homology domain-containing protein 1 (YTHDC1), YT521-B homology domain-containing family 3 (YTHDF2) and Leucine-rich PPR motif-containing protein (LRPPRC) were identified by difference analysis, and their Mean Decrease Gini (MDG) scores were all greater than 10. Based on these 6 significant m6A regulators, a nomogram model was developed to predict the incidence of osteomyelitis, and the fitting curve indicated a high degree of fit in both the test and validation groups. Two m6A subtypes (cluster A and cluster B) were identified by the unsupervised clustering method, and there were significant differences in m6A scores and the abundance of immune infiltration between the two m6A subtypes. Among them, two m6A regulators (METTL3 and LRPPRC) were closely related to immune infiltration in patients with osteomyelitis. Conclusion: m6A regulators play key roles in the molecular subtypes and immune response of osteomyelitis, which may provide assistance for personalized immunotherapy in patients with osteomyelitis. Frontiers Media S.A. 2022-12-05 /pmc/articles/PMC9760713/ /pubmed/36544487 http://dx.doi.org/10.3389/fgene.2022.1044264 Text en Copyright © 2022 Shi, Ni, Wu, Guo, Wang, Zhang, Zhang and Xu. 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 | Genetics Shi, Xiangwen Ni, Haonan Wu, Yipeng Guo, Minzheng Wang, Bin Zhang, Yue Zhang, Bihuan Xu, Yongqing Diagnostic signature, subtype classification, and immune infiltration of key m6A regulators in osteomyelitis patients |
title | Diagnostic signature, subtype classification, and immune infiltration of key m6A regulators in osteomyelitis patients |
title_full | Diagnostic signature, subtype classification, and immune infiltration of key m6A regulators in osteomyelitis patients |
title_fullStr | Diagnostic signature, subtype classification, and immune infiltration of key m6A regulators in osteomyelitis patients |
title_full_unstemmed | Diagnostic signature, subtype classification, and immune infiltration of key m6A regulators in osteomyelitis patients |
title_short | Diagnostic signature, subtype classification, and immune infiltration of key m6A regulators in osteomyelitis patients |
title_sort | diagnostic signature, subtype classification, and immune infiltration of key m6a regulators in osteomyelitis patients |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760713/ https://www.ncbi.nlm.nih.gov/pubmed/36544487 http://dx.doi.org/10.3389/fgene.2022.1044264 |
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