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Synaptic ultrastructure changes in trigeminocervical complex posttrigeminal nerve injury.

John Park | Van Nancy Trinh | Ilse Sears-Kraxberger | Kang-Wu Li | Oswald Steward | Z David Luo
The Journal of comparative neurology | 2016

Trigeminal nerves collecting sensory information from the orofacial area synapse on second-order neurons in the dorsal horn of subnucleus caudalis and cervical C1/C2 spinal cord (Vc/C2, or trigeminocervical complex), which is critical for sensory information processing. Injury to the trigeminal nerves may cause maladaptive changes in synaptic connectivity that plays an important role in chronic pain development. Here we examined whether injury to the infraorbital nerve, a branch of the trigeminal nerves, led to synaptic ultrastructural changes when the injured animals have developed neuropathic pain states. Transmission electron microscopy was used to examine synaptic profiles in Vc/C2 at 3 weeks postinjury, corresponding to the time of peak behavioral hypersensitivity following chronic constriction injury to the infraorbital nerve (CCI-ION). Using established criteria, synaptic profiles were classified as associated with excitatory (R-), inhibitory (F-), and primary afferent (C-) terminals. Each type was counted within the superficial dorsal horn of the Vc/C2 and the means from each rat were compared between sham and injured animals; synaptic contact length was also measured. The overall analysis indicates that rats with orofacial pain states had increased numbers and decreased mean synaptic length of R-profiles within the Vc/C2 superficial dorsal horn (lamina I) 3 weeks post-CCI-ION. Increases in the number of excitatory synapses in the superficial dorsal horn of Vc/C2 could lead to enhanced activation of nociceptive pathways, contributing to the development of orofacial pain states.

Pubmed ID: 26132987

Associated grants

  • Agency: NIDCR NIH HHS, United States
    Id: R01 DE021847
  • Agency: NINDS NIH HHS, United States
    Id: NS064341
  • Agency: NIDCR NIH HHS, United States
    Id: DE021847
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS064341
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR001414

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RRID:SCR_002798

Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.

View all literature mentions

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RRID:RGD_70508

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View all literature mentions

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RRID:SCR_003070

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