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Transcriptional alterations in opioid use disorder reveal an interplay between neuroinflammation and synaptic remodeling

Marianne L. Seney, Sam-Moon Kim, Jill R. Glausier, Mariah A. Hildebrand, Xiangning Xue, Wei Zong, Jiebiao Wang, Micah A. Shelton, View ORCID ProfileBaDoi N. Phan, Chaitanya Srinivasan, Andreas R. Pfenning, View ORCID ProfileGeorge C. Tseng, David A. Lewis, Zachary Freyberg, View ORCID ProfileRyan W. Logan
doi: https://doi.org/10.1101/2020.09.14.296707
Marianne L. Seney
1Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA
2Center for Adolescent Reward, Rhythms, and Sleep, University of Pittsburgh, Pittsburgh, PA 15219, USA
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Sam-Moon Kim
1Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA
2Center for Adolescent Reward, Rhythms, and Sleep, University of Pittsburgh, Pittsburgh, PA 15219, USA
3Center for Systems Neurogenetics of Addiction, The Jackson Laboratory, Bar Harbor, ME 04609
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Jill R. Glausier
1Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA
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Mariah A. Hildebrand
1Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA
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Xiangning Xue
4Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA
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Wei Zong
4Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA
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Jiebiao Wang
4Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA
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Micah A. Shelton
1Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA
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BaDoi N. Phan
5Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
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  • ORCID record for BaDoi N. Phan
Chaitanya Srinivasan
5Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
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Andreas R. Pfenning
5Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
6Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
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George C. Tseng
4Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA
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David A. Lewis
1Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA
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Zachary Freyberg
1Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA
7Department of Cell Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA
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Ryan W. Logan
3Center for Systems Neurogenetics of Addiction, The Jackson Laboratory, Bar Harbor, ME 04609
8Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118
9Center for Systems Neuroscience, Boston University, Boston, MA 02118
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  • ORCID record for Ryan W. Logan
  • For correspondence: rwlogan@bu.edu
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Abstract

Background Prevalence rates of opioid use disorder (OUD) have increased dramatically, accompanied by a surge of overdose deaths. While opioid dependence has been extensively studied in preclinical models, an understanding of the biological alterations that occur in the brains of people who chronically use opioids and who are diagnosed with OUD remains limited. To address this limitation, RNA-sequencing (RNA-seq) was conducted on the dorsolateral prefrontal cortex (DLPFC) and nucleus accumbens (NAc), regions heavily implicated in OUD, from postmortem brains in subjects with OUD.

Methods We performed RNA-seq on the DLPFC and NAc from unaffected comparison subjects (n=20) and subjects diagnosed with OUD (n=20). Our transcriptomic analyses identified differentially expressed (DE) transcripts and investigated the transcriptional coherence between brain regions using rank-rank hypergeometric ordering (RRHO). Weighted gene co-expression analyses (WGCNA) also identified OUD-specific modules and gene networks. Integrative analyses between DE transcripts and GWAS datasets using linkage disequilibrium score (LDSC) assessed the genetic liability psychiatric-related phenotypes.

Results RRHO analyses revealed extensive overlap in transcripts between DLPFC and NAc in OUD, primarily relating to synaptic remodeling and neuroinflammation. Identified transcripts were enriched for factors that control pro-inflammatory cytokine-mediated, chondroitin sulfate, and extracellular matrix signaling. Cell-type deconvolution implicated a role for microglia as a critical driver for opioid-induced neuroplasticity. Using LDSC, we discovered genetic liabilities for risky behavior, attention deficit hyperactivity disorder, and depression.

Conclusions Overall, our findings reveal new connections between the brain’s immune system and opioid dependence in the human brain.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Updates were made to figures, analyses, and text

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Transcriptional alterations in opioid use disorder reveal an interplay between neuroinflammation and synaptic remodeling
Marianne L. Seney, Sam-Moon Kim, Jill R. Glausier, Mariah A. Hildebrand, Xiangning Xue, Wei Zong, Jiebiao Wang, Micah A. Shelton, BaDoi N. Phan, Chaitanya Srinivasan, Andreas R. Pfenning, George C. Tseng, David A. Lewis, Zachary Freyberg, Ryan W. Logan
bioRxiv 2020.09.14.296707; doi: https://doi.org/10.1101/2020.09.14.296707
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Transcriptional alterations in opioid use disorder reveal an interplay between neuroinflammation and synaptic remodeling
Marianne L. Seney, Sam-Moon Kim, Jill R. Glausier, Mariah A. Hildebrand, Xiangning Xue, Wei Zong, Jiebiao Wang, Micah A. Shelton, BaDoi N. Phan, Chaitanya Srinivasan, Andreas R. Pfenning, George C. Tseng, David A. Lewis, Zachary Freyberg, Ryan W. Logan
bioRxiv 2020.09.14.296707; doi: https://doi.org/10.1101/2020.09.14.296707

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