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Bioinformatic analyses of the role of m6A RNA methylation regulators in abdominal aortic aneurysm

BACKGROUND: N6-methyladenosine (m6A) is found in almost all nuclear RNAs of eukaryotes, playing an important and diverse role in many biological processes. Nonetheless, the roles of m6A regulators in abdominal aortic aneurysm (AAA) unknown. Therefore, there is a pressing need to identify m6A RNA met...

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Autores principales: Fu, Changgeng, Feng, Linghe, Zhang, Jiawei, Sun, Dajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201186/
https://www.ncbi.nlm.nih.gov/pubmed/35722410
http://dx.doi.org/10.21037/atm-22-1891
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author Fu, Changgeng
Feng, Linghe
Zhang, Jiawei
Sun, Dajun
author_facet Fu, Changgeng
Feng, Linghe
Zhang, Jiawei
Sun, Dajun
author_sort Fu, Changgeng
collection PubMed
description BACKGROUND: N6-methyladenosine (m6A) is found in almost all nuclear RNAs of eukaryotes, playing an important and diverse role in many biological processes. Nonetheless, the roles of m6A regulators in abdominal aortic aneurysm (AAA) unknown. Therefore, there is a pressing need to identify m6A RNA methylation regulators in the diagnosis of AAA, determination of individualized risk, discovery of therapeutic targets, and improve understanding of pathogenesis. METHODS: The GSE98278 dataset were obtained from the Gene Expression Omnibus (GEO) database to perform differential analysis of m6A-related regulators between elective stable abdominal aortic aneurysms (eAAA) and abdominal aortic aneurysm ruptured (rAAA). The random forest model was used to screen candidate m6A regulators to predict the risk of rAAA. The single sample gene set enrichment analysis (ssGSEA) method was then used to evaluate the abundance of 23 immune cells in AAA. The m6A RNA Methylation Quantification Kit was used to measure the total m6A levels of AAA and normal abdominal aorta. The terminal deoxynucleotidyl transferase mediated dUTP Nick-End Labeling (TUNEL) apoptosis assay kit was used to detect the human aortic smooth muscle cells (HASMCs) apoptotic after RBM15 knockdown. Mechanically, RBM15 knockdown was found to reduce the expression of CASP3 in an m6A-dependent manner by Western blotting, RNA immunoprecipitation (RIP), and methylated RNA immunoprecipitation-quantitative polymerase chain reaction (MeRIP-RT-PCR). RESULTS: RBM15, WTAP, ALKBH5, and IGFBP3 were highly expressed in rAAA. In contrast, RBM15B showed opposite results (P<0.05). The high m6A level in the rAAA compared with eAAA and normal abdominal aorta (P<0.05). The random forest model was used to screen 5 candidate m6A regulators to predict the risk of rAAA. Expression of the 5 m6A methylation regulators was validated in AAA samples (P<0.05). RBM15 knockdown inhibited the apoptosis of HASMCs. RBM15 knockdown reduced the expression of CASP3 in an m6A-dependent manner. A strong correlation between the five m6A methylation regulators and immune cell infiltration was identified. CONCLUSIONS: In summary, m6A regulators play nonnegligible roles in the occurrence of rAAA. Our investigation of m6A patterns may be able to guide future immunotherapy strategies for AAA.
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spelling pubmed-92011862022-06-17 Bioinformatic analyses of the role of m6A RNA methylation regulators in abdominal aortic aneurysm Fu, Changgeng Feng, Linghe Zhang, Jiawei Sun, Dajun Ann Transl Med Original Article BACKGROUND: N6-methyladenosine (m6A) is found in almost all nuclear RNAs of eukaryotes, playing an important and diverse role in many biological processes. Nonetheless, the roles of m6A regulators in abdominal aortic aneurysm (AAA) unknown. Therefore, there is a pressing need to identify m6A RNA methylation regulators in the diagnosis of AAA, determination of individualized risk, discovery of therapeutic targets, and improve understanding of pathogenesis. METHODS: The GSE98278 dataset were obtained from the Gene Expression Omnibus (GEO) database to perform differential analysis of m6A-related regulators between elective stable abdominal aortic aneurysms (eAAA) and abdominal aortic aneurysm ruptured (rAAA). The random forest model was used to screen candidate m6A regulators to predict the risk of rAAA. The single sample gene set enrichment analysis (ssGSEA) method was then used to evaluate the abundance of 23 immune cells in AAA. The m6A RNA Methylation Quantification Kit was used to measure the total m6A levels of AAA and normal abdominal aorta. The terminal deoxynucleotidyl transferase mediated dUTP Nick-End Labeling (TUNEL) apoptosis assay kit was used to detect the human aortic smooth muscle cells (HASMCs) apoptotic after RBM15 knockdown. Mechanically, RBM15 knockdown was found to reduce the expression of CASP3 in an m6A-dependent manner by Western blotting, RNA immunoprecipitation (RIP), and methylated RNA immunoprecipitation-quantitative polymerase chain reaction (MeRIP-RT-PCR). RESULTS: RBM15, WTAP, ALKBH5, and IGFBP3 were highly expressed in rAAA. In contrast, RBM15B showed opposite results (P<0.05). The high m6A level in the rAAA compared with eAAA and normal abdominal aorta (P<0.05). The random forest model was used to screen 5 candidate m6A regulators to predict the risk of rAAA. Expression of the 5 m6A methylation regulators was validated in AAA samples (P<0.05). RBM15 knockdown inhibited the apoptosis of HASMCs. RBM15 knockdown reduced the expression of CASP3 in an m6A-dependent manner. A strong correlation between the five m6A methylation regulators and immune cell infiltration was identified. CONCLUSIONS: In summary, m6A regulators play nonnegligible roles in the occurrence of rAAA. Our investigation of m6A patterns may be able to guide future immunotherapy strategies for AAA. AME Publishing Company 2022-05 /pmc/articles/PMC9201186/ /pubmed/35722410 http://dx.doi.org/10.21037/atm-22-1891 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Fu, Changgeng
Feng, Linghe
Zhang, Jiawei
Sun, Dajun
Bioinformatic analyses of the role of m6A RNA methylation regulators in abdominal aortic aneurysm
title Bioinformatic analyses of the role of m6A RNA methylation regulators in abdominal aortic aneurysm
title_full Bioinformatic analyses of the role of m6A RNA methylation regulators in abdominal aortic aneurysm
title_fullStr Bioinformatic analyses of the role of m6A RNA methylation regulators in abdominal aortic aneurysm
title_full_unstemmed Bioinformatic analyses of the role of m6A RNA methylation regulators in abdominal aortic aneurysm
title_short Bioinformatic analyses of the role of m6A RNA methylation regulators in abdominal aortic aneurysm
title_sort bioinformatic analyses of the role of m6a rna methylation regulators in abdominal aortic aneurysm
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201186/
https://www.ncbi.nlm.nih.gov/pubmed/35722410
http://dx.doi.org/10.21037/atm-22-1891
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