Abstract

Chronic opioid usage not only causes addiction behavior through the central nervous system, but also modulates the peripheral immune system. However, how opioid impacts the immune system is still barely characterized systematically. In order to understand the immune modulatory effect of opioids in an unbiased way, here we perform single-cell RNA sequencing (scRNA-seq) of peripheral blood mononuclear cells from opioid-dependent individuals and controls to show that chronic opioid usage evokes widespread suppression of antiviral gene program in naive monocytes, as well as in multiple immune cell types upon stimulation with the pathogen component lipopolysaccharide. Furthermore, scRNA-seq reveals the same phenomenon after a short in vitro morphine treatment. These findings indicate that both acute and chronic opioid exposure may be harmful to our immune system by suppressing the antiviral gene program. Our results suggest that further characterization of the immune modulatory effects of opioid is critical to ensure the safety of clinical opioids.

Over 100 million of opioid prescriptions are issued yearly in the USA alone, but the impact of opioid use on the immune system is barely characterized. Here the authors report antiviral immune response is blunted in several types of blood cells from opioid-dependent individuals, and when healthy donor cells are exposed to morphine in a dish.

Details

Title
Single cell transcriptomics reveals opioid usage evokes widespread suppression of antiviral gene program
Author
Karagiannis, Tanya T 1   VIAFID ORCID Logo  ; Cleary, John P, Jr 2   VIAFID ORCID Logo  ; Gok Busra 3   VIAFID ORCID Logo  ; Henderson, Andrew J 4 ; Martin, Nicholas G 5   VIAFID ORCID Logo  ; Yajima Masanao 6   VIAFID ORCID Logo  ; Nelson, Elliot C 7   VIAFID ORCID Logo  ; Cheng, Christine S 8 

 Boston University, Program in Bioinformatics, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558); Boston University, Department of Biology, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558) 
 Boston University, Department of Biology, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558); Boston University, Program in Molecular Biology, Cell Biology and Biochemistry, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558) 
 Boston University, Department of Biology, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558); Boston University, Program in Cell and Molecular Biology, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558) 
 Boston University School of Medicine, Department of Medicine and Microbiology, Boston, USA (GRID:grid.475010.7) (ISNI:0000 0004 0367 5222) 
 QIMR Berghofer Medical Research Institute, Brisbane, Australia (GRID:grid.1049.c) (ISNI:0000 0001 2294 1395) 
 Boston University, Department of Mathematics and Statistics, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558) 
 Washington University School of Medicine, Department of Psychiatry, St. Louis, USA (GRID:grid.4367.6) (ISNI:0000 0001 2355 7002) 
 Boston University, Program in Bioinformatics, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558); Boston University, Department of Biology, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558); Boston University, Program in Molecular Biology, Cell Biology and Biochemistry, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558); Boston University, Program in Cell and Molecular Biology, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2406924373
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.