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Significance of m(6)A regulatory factor in gene expression and immune function of osteoarthritis
One of the most prevalent posttranscriptional modifications of eukaryotic mRNA is the RNA N6-methyladenosine (m(6)A) regulator, which plays a significant role in various illnesses. The involvement of m(6)A regulators in osteoarthritis (OA) is not fully known. By comparing nonosteoarthritic and osteo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9493330/ https://www.ncbi.nlm.nih.gov/pubmed/36160850 http://dx.doi.org/10.3389/fphys.2022.918270 |
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author | Xie, Xiaoyan Zhang, Yun Yu, Jian Jiang, Feng Wu, Chuyan |
author_facet | Xie, Xiaoyan Zhang, Yun Yu, Jian Jiang, Feng Wu, Chuyan |
author_sort | Xie, Xiaoyan |
collection | PubMed |
description | One of the most prevalent posttranscriptional modifications of eukaryotic mRNA is the RNA N6-methyladenosine (m(6)A) regulator, which plays a significant role in various illnesses. The involvement of m(6)A regulators in osteoarthritis (OA) is not fully known. By comparing nonosteoarthritic and osteoarthritic patients, 26 important m(6)A regulators were identified from the gene expression omnibus GSE48556 dataset. Seven candidate m(6)A regulators (IGFBP3, WTAP, IGFBP1, HNRNPC, RBM15B, YTHDC1, and METTL3) were screened using a random forest model to assess the likelihood of OA. A column line graph model founded on seven m(6)A modulator candidates was created. According to decision curve analysis, patients might profit from the column line graph model. Based on chosen relevant m(6)A modifiers, a consensus clustering approach was utilized to categorize OA into two m(6)A categories (group A and group B). To measure the m(6)A pattern, a principal component analysis technique was created to generate the m(6)A score for every sample. Cluster A patients exhibited more excellent m(6)A scores than cluster B patients. Furthermore, we discovered that patients with lower and higher m(6)A scores had varied immunological responses using the m(6)A type. At last, m(6)A regulators contribute significantly to the progression of OA. Our research on m(6)A patterns might help to guide further OA immunotherapeutic techniques. |
format | Online Article Text |
id | pubmed-9493330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94933302022-09-23 Significance of m(6)A regulatory factor in gene expression and immune function of osteoarthritis Xie, Xiaoyan Zhang, Yun Yu, Jian Jiang, Feng Wu, Chuyan Front Physiol Physiology One of the most prevalent posttranscriptional modifications of eukaryotic mRNA is the RNA N6-methyladenosine (m(6)A) regulator, which plays a significant role in various illnesses. The involvement of m(6)A regulators in osteoarthritis (OA) is not fully known. By comparing nonosteoarthritic and osteoarthritic patients, 26 important m(6)A regulators were identified from the gene expression omnibus GSE48556 dataset. Seven candidate m(6)A regulators (IGFBP3, WTAP, IGFBP1, HNRNPC, RBM15B, YTHDC1, and METTL3) were screened using a random forest model to assess the likelihood of OA. A column line graph model founded on seven m(6)A modulator candidates was created. According to decision curve analysis, patients might profit from the column line graph model. Based on chosen relevant m(6)A modifiers, a consensus clustering approach was utilized to categorize OA into two m(6)A categories (group A and group B). To measure the m(6)A pattern, a principal component analysis technique was created to generate the m(6)A score for every sample. Cluster A patients exhibited more excellent m(6)A scores than cluster B patients. Furthermore, we discovered that patients with lower and higher m(6)A scores had varied immunological responses using the m(6)A type. At last, m(6)A regulators contribute significantly to the progression of OA. Our research on m(6)A patterns might help to guide further OA immunotherapeutic techniques. Frontiers Media S.A. 2022-09-08 /pmc/articles/PMC9493330/ /pubmed/36160850 http://dx.doi.org/10.3389/fphys.2022.918270 Text en Copyright © 2022 Xie, Zhang, Yu, Jiang and Wu. 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 | Physiology Xie, Xiaoyan Zhang, Yun Yu, Jian Jiang, Feng Wu, Chuyan Significance of m(6)A regulatory factor in gene expression and immune function of osteoarthritis |
title | Significance of m(6)A regulatory factor in gene expression and immune function of osteoarthritis |
title_full | Significance of m(6)A regulatory factor in gene expression and immune function of osteoarthritis |
title_fullStr | Significance of m(6)A regulatory factor in gene expression and immune function of osteoarthritis |
title_full_unstemmed | Significance of m(6)A regulatory factor in gene expression and immune function of osteoarthritis |
title_short | Significance of m(6)A regulatory factor in gene expression and immune function of osteoarthritis |
title_sort | significance of m(6)a regulatory factor in gene expression and immune function of osteoarthritis |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9493330/ https://www.ncbi.nlm.nih.gov/pubmed/36160850 http://dx.doi.org/10.3389/fphys.2022.918270 |
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