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Structural analysis of TrkA mutations in patients with congenital insensitivity to pain reveals PLCγ as an analgesic drug target.
- Source :
-
Science signaling [Sci Signal] 2022 Apr 26; Vol. 15 (731), pp. eabm6046. Date of Electronic Publication: 2022 Apr 26. - Publication Year :
- 2022
-
Abstract
- Chronic pain is a major health issue, and the search for new analgesics has become increasingly important because of the addictive properties and unwanted side effects of opioids. To explore potentially new drug targets, we investigated mutations in the NTRK1 gene found in individuals with congenital insensitivity to pain with anhidrosis (CIPA). NTRK1 encodes tropomyosin receptor kinase A (TrkA), the receptor for nerve growth factor (NGF) and that contributes to nociception. Molecular modeling and biochemical analysis identified mutations that decreased the interaction between TrkA and one of its substrates and signaling effectors, phospholipase Cγ (PLCγ). We developed a cell-permeable phosphopeptide derived from TrkA (TAT-pQYP) that bound the Src homology domain 2 (SH2) of PLCγ. In HEK-293T cells, TAT-pQYP inhibited the binding of heterologously expressed TrkA to PLCγ and decreased NGF-induced, TrkA-mediated PLCγ activation and signaling. In mice, intraplantar administration of TAT-pQYP decreased mechanical sensitivity in an inflammatory pain model, suggesting that targeting this interaction may be analgesic. The findings demonstrate a strategy to identify new targets for pain relief by analyzing the signaling pathways that are perturbed in CIPA.
- Subjects :
- Analgesics pharmacology
Animals
Channelopathies genetics
Channelopathies metabolism
HEK293 Cells
Humans
Mice
Nerve Growth Factor genetics
Nerve Growth Factor pharmacology
Pain genetics
Pain metabolism
Hypohidrosis genetics
Hypohidrosis metabolism
Mutation
Pain Insensitivity, Congenital genetics
Pain Insensitivity, Congenital metabolism
Phospholipase C gamma genetics
Phospholipase C gamma metabolism
Receptor, trkA genetics
Receptor, trkA metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1937-9145
- Volume :
- 15
- Issue :
- 731
- Database :
- MEDLINE
- Journal :
- Science signaling
- Publication Type :
- Academic Journal
- Accession number :
- 35471943
- Full Text :
- https://doi.org/10.1126/scisignal.abm6046