The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G epigenetic regulation

Introduction: Abdominal aortic aneurysms (AAA) are among the most lethal non-cancerous diseases. A comprehensive analysis of the AAA-related disease model has yet to be conducted. Methods: Weighted correlation network analysis (WGCNA) was performed for the AAA-related genes. Machine learning random...

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Autores principales: Tian, Yu, Fu, Shengjie, Zhang, Nan, Zhang, Hao, Li, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995589/
https://www.ncbi.nlm.nih.gov/pubmed/36911406
http://dx.doi.org/10.3389/fgene.2023.1131957
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author Tian, Yu
Fu, Shengjie
Zhang, Nan
Zhang, Hao
Li, Lei
author_facet Tian, Yu
Fu, Shengjie
Zhang, Nan
Zhang, Hao
Li, Lei
author_sort Tian, Yu
collection PubMed
description Introduction: Abdominal aortic aneurysms (AAA) are among the most lethal non-cancerous diseases. A comprehensive analysis of the AAA-related disease model has yet to be conducted. Methods: Weighted correlation network analysis (WGCNA) was performed for the AAA-related genes. Machine learning random forest and LASSO regression analysis were performed to develop the AAA-related score. Immune characteristics and epigenetic characteristics of the AAA-related score were explored. Results: Our study developed a reliable AAA-related disease model for predicting immunity and m1A/m5C/m6A/m7G epigenetic regulation. Discussion: The pathogenic roles of four model genes, UBE2K, TMEM230, VAMP7, and PUM2, in AAA, need further validation by in vitro and in vivo experiments.
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spelling pubmed-99955892023-03-10 The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G epigenetic regulation Tian, Yu Fu, Shengjie Zhang, Nan Zhang, Hao Li, Lei Front Genet Genetics Introduction: Abdominal aortic aneurysms (AAA) are among the most lethal non-cancerous diseases. A comprehensive analysis of the AAA-related disease model has yet to be conducted. Methods: Weighted correlation network analysis (WGCNA) was performed for the AAA-related genes. Machine learning random forest and LASSO regression analysis were performed to develop the AAA-related score. Immune characteristics and epigenetic characteristics of the AAA-related score were explored. Results: Our study developed a reliable AAA-related disease model for predicting immunity and m1A/m5C/m6A/m7G epigenetic regulation. Discussion: The pathogenic roles of four model genes, UBE2K, TMEM230, VAMP7, and PUM2, in AAA, need further validation by in vitro and in vivo experiments. Frontiers Media S.A. 2023-02-23 /pmc/articles/PMC9995589/ /pubmed/36911406 http://dx.doi.org/10.3389/fgene.2023.1131957 Text en Copyright © 2023 Tian, Fu, Zhang, Zhang and Li. 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
Tian, Yu
Fu, Shengjie
Zhang, Nan
Zhang, Hao
Li, Lei
The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G epigenetic regulation
title The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G epigenetic regulation
title_full The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G epigenetic regulation
title_fullStr The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G epigenetic regulation
title_full_unstemmed The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G epigenetic regulation
title_short The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G epigenetic regulation
title_sort abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1a/m5c/m6a/m7g epigenetic regulation
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995589/
https://www.ncbi.nlm.nih.gov/pubmed/36911406
http://dx.doi.org/10.3389/fgene.2023.1131957
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