bioRxivNeurosciencePreprint
Morphine and methamphetamine trigger divergent post-transcriptional neuroimmune landscapes in the dorsal striatum
Alexander V. MargettsiD, Lauren L. BystromiD, Samara J. VilcaiD, Luis M. TuestaiD
Abstract
Opioid and methamphetamine use disorders (OUD and MUD) are characterized by enduring neural adaptations within brain reward circuitry, yet the cell-type-specific post-transcriptional mechanisms underlying these changes remain poorly understood. While microglia are essential for maintaining central nervous system homeostasis and modulating neuroinflammatory responses to drugs of abuse, their alternative splicing (AS) programs have not been defined in the context of addiction. This study characterized the microglial AS landscape in the mouse dorsal striatum during morphine and methamphetamine intravenous self-administration (IVSA), as well as following a 21-day period of abstinence. Analysis of RNA-sequencing data using rMATS and DEXSeq revealed that both drugs significantly dysregulate core splicing machinery, with skipped exons (SE) emerging as the most prevalent splicing event. Notably, morphine exposure induced a robust persistent splicing signature, comprising 736 exonic regions in 221 genes that remained altered through abstinence, whereas methamphetamine-induced changes were primarily reversible. Functional annotation predicted that approximately 27.5% of these events induce frameshifts, potentially impacting critical microglial pathways such as autophagy (Wdr81), chromatin remodeling (Chd4, Kmt2c), and RNA processing (Hnrnpl, Mbnl2, Tia1). These findings identify previously unrecognized post-transcriptional neuroimmune mechanisms and suggest that persistent splicing dysregulation in microglia may contribute to the long-term pathophysiology of OUD. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=104 SRC="FIGDIR/small/716002v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@1c30f01org.highwire.dtl.DTLVardef@10e16d7org.highwire.dtl.DTLVardef@1fd80dforg.highwire.dtl.DTLVardef@17c80f_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: mouse
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
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