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Identifying Stress-Exacerbated Thermal-Injury Induced MicroRNAs
Miryam Pando1, Ruoting Yang2, George Dimitrov3
1US Army Institute of Surgical Research (USAISR), JBSA Ft Sam Houston, San Antonio, Texas.
Abstract:
Using a model of combat and operational stress reaction (COSR), our lab recently showed that exposure to an unpredictable combat stress (UPCS) procedure prior to a thermal injury increases pain sensitivity in male rats. Additionally, our lab has recently shown that circulating extracellular vesicle-microRNAs (EV-miRNAs), which normally function to suppress inflammation, were downregulated in a male rat model of neuropathic pain. In this current study, male and female rats exposed to UPCS, followed by thermal injury, were evaluated for changes in circulating EV-miRNAs. Adult female and male Sprague Dawley rats were exposed to a UPCS procedure for either 2 or 4 weeks. Groups consisted of the following: nonstress (NS), stress (S), NS + thermal injury (TI), and S + TI. Mechanical sensitivity was measured, and plasma was collected at baseline, throughout the UPCS exposure, and post-thermal injury. EV-miRNA isolation was performed, followed by small RNA sequencing and subsequent data analysis. UPCS exposure alone resulted in mechanical allodynia in both male and female rats at specific time points. Thermal-injury induction occurring at peak UPCS resulted in increased mechanical allodynia in the injured hind paw compared to thermal injury alone. Differential expression of the EV-miRNAs was observed between the NS and S groups as well as between NS + TI and S + TI groups. Consistent differences in EV-miRNAs are detectable in both COSR as well as during the development of mechanical sensitivity and potentially serve as key regulators, biomarkers, and targets in the treatment of COSR and thermal-injury induced mechanical sensitivity. PERSPECTIVE: This article presents the effects of unpredictable combat stress and thermal injury on EV-contained microRNAs in an animal model. These same mechanisms may exist in clinical patients and could be future prognostic and diagnostic biomarkers.
Insights
Unpredictable combat stress and thermal injury alter extracellular vesicle-microRNAs (EV-miRNAs) in rats, impacting pain sensitivity. These EV-miRNAs may serve as biomarkers for combat and operational stress reaction (COSR) and injury-related pain.
Area of Science:
- Neuroscience
- Molecular Biology
- Stress Physiology
Background:
- Combat and operational stress reaction (COSR) and thermal injury can increase pain sensitivity.
- Extracellular vesicle-microRNAs (EV-miRNAs) normally suppress inflammation but are downregulated in neuropathic pain models.
- Previous studies showed unpredictable combat stress (UPCS) prior to thermal injury increases pain in male rats.
Purpose of the Study:
- To investigate the effects of UPCS and thermal injury on circulating EV-miRNAs in both male and female rats.
- To determine if EV-miRNAs can serve as biomarkers for COSR and associated mechanical sensitivity.
- To explore potential therapeutic targets for COSR and thermal injury-induced pain.
Main Methods:
- Adult male and female Sprague Dawley rats were exposed to UPCS for 2 or 4 weeks.
- Experimental groups included non-stress (NS), stress (S), NS + thermal injury (TI), and S + TI.
- Mechanical sensitivity was measured, plasma was collected, and EV-miRNAs were isolated for small RNA sequencing and analysis.
Main Results:
- UPCS exposure alone induced mechanical allodynia in both sexes.
- Thermal injury during peak UPCS exacerbated mechanical allodynia compared to thermal injury alone.
- Differential expression of EV-miRNAs was observed between stress and non-stress groups, with and without thermal injury.
Conclusions:
- Consistent differences in EV-miRNAs are detectable during COSR and the development of mechanical sensitivity.
- EV-miRNAs show potential as key regulators, biomarkers, and therapeutic targets for COSR and thermal injury-induced pain.
- These findings in an animal model suggest potential clinical relevance for prognostic and diagnostic biomarkers.
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