Dorsal root ganglia P2X4 and P2X7 receptors contribute to diabetes-induced hyperalgesia and the downregulation of electroacupuncture on P2X4 and P2X7.
Qun-Qi HuXiao-Fen HeYi-Qi MaLi-Qian MaSi-Ying QuHan-Zhi WangYu-Rong KangLu-Hang ChenXiang LiBo-Yu LiuXiao-Mei ShaoJun-Fan FangYi LiangJian-Qiao FangYong-Liang JiangPublished in: Purinergic signalling (2022)
Diabetic neuropathic pain (DNP) is highly common in diabetes patients. P2X receptors play critical roles in pain sensitization. We previously showed that elevated P2X3 expression in dorsal root ganglion (DRG) contributes to DNP. However, the role of other P2X receptors in DNP is unclear. Here, we established the DNP model using a single high-dose streptozotocin (STZ) injection and investigated the expression of P2X genes in the DRG. Our data revealed elevated P2X2, P2X4, and P2X7 mRNA levels in DRG of DNP rats. The protein levels of P2X4 and P2X7 in DNP rats increased, but the P2X2 did not change significantly. To study the role of P2X4 and P2X7 in diabetes-induced hyperalgesia, we treated the DNP rats with TNP-ATP (2',3'-O-(2,4,6-trinitrophenyl)-adenosine 5'-triphosphate), a nonspecific P2X1-7 antagonist, and found that TNP-ATP alleviated thermal hyperalgesia in DNP rats. 2 Hz electroacupuncture is analgesic against DNP and could downregulate P2X4 and P2X7 expression in DRG. Our findings indicate that P2X4 and P2X7 in L4-L6 DRGs contribute to diabetes-induced hyperalgesia, and that EA reduces thermal hyperalgesia and the expression of P2X4 and P2X7.
Keyphrases
- neuropathic pain
- spinal cord
- diabetic rats
- spinal cord injury
- poor prognosis
- type diabetes
- cardiovascular disease
- high glucose
- binding protein
- high dose
- glycemic control
- oxidative stress
- end stage renal disease
- ejection fraction
- cell proliferation
- newly diagnosed
- drug induced
- low dose
- electronic health record
- chronic kidney disease
- long non coding rna
- high fat diet
- genome wide
- insulin resistance
- dna methylation
- endothelial cells
- metabolic syndrome
- big data
- prognostic factors
- mass spectrometry
- small molecule
- adipose tissue
- protein kinase
- artificial intelligence
- weight loss
- diabetic nephropathy
- amino acid
- protein protein
- bioinformatics analysis