Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue

Author:

Vishweswaraiah Sangeetha1,Yilmaz Ali2,Saiyed Nazia2,Khalid Abdullah2,Koladiya Purvesh R.2,Pan Xiaobei3,Macias Shirin3,Robinson Andrew C.4ORCID,Mann David4,Green Brian D.3ORCID,Kerševičiūte Ieva5,Gordevičius Juozas5,Radhakrishna Uppala1ORCID,Graham Stewart F.126ORCID

Affiliation:

1. Department of Obstetrics and Gynecology, Corewell Health William Beaumont University Hospital, 3601 W. 13 Mile Road, Royal Oak, MI 48073, USA

2. Metabolomics Department, Corewell Health Research Institute, 3811 W. 13 Mile Road, Royal Oak, MI 48073, USA

3. Advanced Asset Technology Centre, Institute for Global Food Security, Queen’s University Belfast, Belfast BT9 5DL, UK

4. Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience, The University of Manchester, Salford Royal Hospital, Salford M6 8HD, UK

5. VUGENE, LLC, 625 Kenmoor Ave Suite 301 PMB 96578, Grand Rapids, MI 49546, USA

6. Department of Obstetrics and Gynecology, Oakland University-William Beaumont School of Medicine, Rochester, MI 48309, USA

Abstract

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.

Funder

Fred A. and Barbara M. Erb Foundation

Biocrates

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

Reference70 articles.

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4. Multiplatform metabolomic analysis of the R6/2 mouse model of Huntington’s disease;Hashimoto;FEBS Open Bio,2021

5. Prevalence and Incidence of Huntington’s Disease: An Updated Systematic Review and Meta-Analysis;Medina;Mov. Disord. Off. J. Mov. Disord. Soc.,2022

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