Chemokines are known to have a role in the nervous system, influencing a range of processes including the development of chronic pain. To date there are very few studies describing the functions of the chemokine lymphotactin (XCL1) or its receptor (XCR1) in the nervous system. We investigated the role of the XCL1-XCR1 axis in nociceptive processing, using a combination of immunohistochemical, pharmacological and electrophysiological techniques. Expression of XCR1 in the rat mental nerve was elevated 3 days following chronic constriction injury (CCI), compared with 11 days post-CCI and sham controls. XCR1 co-existed with neuronal marker PGP9.5, leukocyte common antigen CD45 and Schwann cell marker S-100. In the trigeminal root and white matter of the brainstem, XCR1-positive cells co-expressed the oligodendrocyte marker Olig2. In trigeminal subnucleus caudalis (Vc), XCR1 immunoreactivity was present in the outer laminae and was colocalized with vesicular glutamate transporter 2 (VGlut2), but not calcitonin gene-related peptide (CGRP) or isolectin B4 (IB4). Incubation of brainstem slices with XCL1 induced activation of c-Fos, ERK and p38 in the superficial layers of Vc, and enhanced levels of intrinsic excitability. These effects were blocked by the XCR1 antagonist viral CC chemokine macrophage inhibitory protein-II (vMIP-II). This study has identified for the first time a role for XCL1-XCR1 in nociceptive processing, demonstrating upregulation of XCR1 at nerve injury sites and identifying XCL1 as a modulator of central excitability and signaling via XCR1 in Vc, a key area for modulation of orofacial pain, thus indicating XCR1 as a potential target for novel analgesics.
Pubmed ID: 29588250 RIS Download
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THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. The NeuroLOG consortium is addressing: *Management and access of partly structured data, heterogeneous and distributed in an open environment. *Access control and protection of private medical data. *Control of workflows implied in complex computing process on grid infrastructures. *Extraction and quantification of relevant parameters for different pathologies: Multiple sclerosis, Brain Vascular Stroke, Brain tumors Four application pipelines have been proposed in the context of the project. The pipelines are formalized using the Scufl data flow language. *Multiple Sclerosis image analysis pipelines *Brain Stroke application pipeline (from GIN) *Stroke / tumours Anacom application pipeline (from IFR49) Different softwares developed and/or used in this project are presented.
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