Transcriptomic Profiling Of Post-surgical Or Inflamed Peripheral Tissue Models During Mechanical And Thermal Hyperalgesia In Rats
Taichi Goto, Matthew Sapio, Michael Iadarola, Leorey Saligan, Andrew Mannes.
National Institutes of Health, Bethesda, MD, USA.
BACKGROUND: Wounds affect 5.7 million people at an annual cost of US$20 billion only in the US. For the population, wound pain is a crucial problem in patients with both acute and chronic wounds. To improve patients’ quality of life and promote wound healing, appropriate and effective wound pain management is important to implement. However, it is still challenging to assess wound pain in elderly patients, especially those who are cognitively impaired, because several subjective pain assessment tools do not fully capture the subjective experience of pain in these populations. Previous studies reported that biochemical analysis of wound exudates and wound tissues can be used for objective wound pain assessment. However, there is still no validated wound pain biomarker. To identify wound pain biomarker candidates, we aimed to explore the transcriptomic profile of a surgical wound from rats. METHODS: A 1 cm surgical incision was made on the left hind paws of rats and the mechanical and thermal withdrawal thresholds were recorded before, 1 and 6 hours, and 1, 3, 6, and 12 days after wounding using von Frey and Hargreaves tests, respectively. Wound samples were collected at the same timepoints and next generation RNA sequencing analysis was conducted. RESULTS/CONCLUSIONS: This abstract will present the transcriptomic profile of the surgical incision rat model and corresponding gene expression changes associated with mechanical and thermal hyperalgesia. These initial findings have the potential to identify biomarkers of wound pain.
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