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Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue
The impact of environmental factors on epigenetic changes is well established, and cellular function is determined not only by the genome but also by interacting partners such as metabolites. Given the significant impact of metabolism on disease progression, exploring the interaction between the met...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530570/ https://www.ncbi.nlm.nih.gov/pubmed/37761892 http://dx.doi.org/10.3390/genes14091752 |
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author | Vishweswaraiah, Sangeetha Yilmaz, Ali Saiyed, Nazia Khalid, Abdullah Koladiya, Purvesh R. Pan, Xiaobei Macias, Shirin Robinson, Andrew C. Mann, David Green, Brian D. Kerševičiūte, Ieva Gordevičius, Juozas Radhakrishna, Uppala Graham, Stewart F. |
author_facet | Vishweswaraiah, Sangeetha Yilmaz, Ali Saiyed, Nazia Khalid, Abdullah Koladiya, Purvesh R. Pan, Xiaobei Macias, Shirin Robinson, Andrew C. Mann, David Green, Brian D. Kerševičiūte, Ieva Gordevičius, Juozas Radhakrishna, Uppala Graham, Stewart F. |
author_sort | Vishweswaraiah, Sangeetha |
collection | PubMed |
description | The impact of environmental factors on epigenetic changes is well established, and cellular function is determined not only by the genome but also by interacting partners such as metabolites. Given the significant impact of metabolism on disease progression, exploring the interaction between the metabolome and epigenome may offer new insights into Huntington’s disease (HD) diagnosis and treatment. Using fourteen post-mortem HD cases and fourteen control subjects, we performed metabolomic profiling of human postmortem brain tissue (striatum and frontal lobe), and we performed DNA methylome profiling using the same frontal lobe tissue. Along with finding several perturbed metabolites and differentially methylated loci, Aminoacyl-tRNA biosynthesis (adj p-value = 0.0098) was the most significantly perturbed metabolic pathway with which two CpGs of the SEPSECS gene were correlated. This study improves our understanding of molecular biomarker connections and, importantly, increases our knowledge of metabolic alterations driving HD progression. |
format | Online Article Text |
id | pubmed-10530570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105305702023-09-28 Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue Vishweswaraiah, Sangeetha Yilmaz, Ali Saiyed, Nazia Khalid, Abdullah Koladiya, Purvesh R. Pan, Xiaobei Macias, Shirin Robinson, Andrew C. Mann, David Green, Brian D. Kerševičiūte, Ieva Gordevičius, Juozas Radhakrishna, Uppala Graham, Stewart F. Genes (Basel) Article The impact of environmental factors on epigenetic changes is well established, and cellular function is determined not only by the genome but also by interacting partners such as metabolites. Given the significant impact of metabolism on disease progression, exploring the interaction between the metabolome and epigenome may offer new insights into Huntington’s disease (HD) diagnosis and treatment. Using fourteen post-mortem HD cases and fourteen control subjects, we performed metabolomic profiling of human postmortem brain tissue (striatum and frontal lobe), and we performed DNA methylome profiling using the same frontal lobe tissue. Along with finding several perturbed metabolites and differentially methylated loci, Aminoacyl-tRNA biosynthesis (adj p-value = 0.0098) was the most significantly perturbed metabolic pathway with which two CpGs of the SEPSECS gene were correlated. This study improves our understanding of molecular biomarker connections and, importantly, increases our knowledge of metabolic alterations driving HD progression. MDPI 2023-09-02 /pmc/articles/PMC10530570/ /pubmed/37761892 http://dx.doi.org/10.3390/genes14091752 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Vishweswaraiah, Sangeetha Yilmaz, Ali Saiyed, Nazia Khalid, Abdullah Koladiya, Purvesh R. Pan, Xiaobei Macias, Shirin Robinson, Andrew C. Mann, David Green, Brian D. Kerševičiūte, Ieva Gordevičius, Juozas Radhakrishna, Uppala Graham, Stewart F. Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue |
title | Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue |
title_full | Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue |
title_fullStr | Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue |
title_full_unstemmed | Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue |
title_short | Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue |
title_sort | integrative analysis unveils the correlation of aminoacyl-trna biosynthesis metabolites with the methylation of the sepsecs gene in huntington’s disease brain tissue |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530570/ https://www.ncbi.nlm.nih.gov/pubmed/37761892 http://dx.doi.org/10.3390/genes14091752 |
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