Genome-Wide Correlation of DNA Methylation and Gene Expression in Postmortem Brain Tissues of Opioid Use Disorder Patients

Author:

Liu Andi1,Dai Yulin2ORCID,Mendez Emily F3,Hu Ruifeng2ORCID,Fries Gabriel R23,Najera Katherine E3,Jiang Shan2,Meyer Thomas D3,Stertz Laura3,Jia Peilin2,Walss-Bass Consuelo3,Zhao Zhongming1234ORCID

Affiliation:

1. Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA

2. Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX,USA

3. Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX,USA

4. MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA

Abstract

Abstract Background Opioid use disorder (OUD) affects millions of people, causing nearly 50 000 deaths annually in the United States. While opioid exposure and OUD are known to cause widespread transcriptomic and epigenetic changes, few studies in human samples have been conducted. Understanding how OUD affects the brain at the molecular level could help decipher disease pathogenesis and shed light on OUD treatment. Methods We generated genome-wide transcriptomic and DNA methylation profiles of 22 OUD subjects and 19 non-psychiatric controls. We applied weighted gene co-expression network analysis to identify genetic markers consistently associated with OUD at both transcriptomic and methylomic levels. We then performed functional enrichment for biological interpretation. We employed cross-omics analysis to uncover OUD-specific regulatory networks. Results We found 6 OUD-associated co-expression gene modules and 6 co-methylation modules (false discovery rate <0.1). Genes in these modules are involved in astrocyte and glial cell differentiation, gliogenesis, response to organic substance, and response to cytokine (false discovery rate <0.05). Cross-omics analysis revealed immune-related transcription regulators, suggesting the role of transcription factor-targeted regulatory networks in OUD pathogenesis. Conclusions Our integrative analysis of multi-omics data in OUD postmortem brain samples suggested complex gene regulatory mechanisms involved in OUD-associated expression patterns. Candidate genes and their upstream regulators revealed in astrocyte, and glial cells could provide new insights into OUD treatment development.

Funder

National Institutes of Health

Cancer Prevention and Research Institute of Texas

CPRIT Data Science and Informatics Core

Publisher

Oxford University Press (OUP)

Subject

Pharmacology (medical),Psychiatry and Mental health,Pharmacology

Reference47 articles.

1. Substance-related and addictive disorders.;American Psychiatric Association,2013

2. Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays;Aryee;Bioinformatics,2014

3. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J Royal Stat Soc,1995

4. Methylation-induced repression–belts, braces, and chromatin;Bird;Cell,1999

5. Epigenetic mechanisms of opioid addiction;Browne;Biol Psychiatry,2020

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