Literature DB >> 36092147

Inhibition of NaV1.7: the possibility of ideal analgesics.

Yutaka Kitano1, Tsuyoshi Shinozuka1.   

Abstract

The selective inhibition of NaV1.7 is a promising strategy for developing novel analgesic agents with fewer adverse effects. Although the potent selective inhibition of NaV1.7 has been recently achieved, multiple NaV1.7 inhibitors failed in clinical development. In this review, the relationship between preclinical in vivo efficacy and NaV1.7 coverage among three types of voltage-gated sodium channel (VGSC) inhibitors, namely conventional VGSC inhibitors, sulphonamides and acyl sulphonamides, is discussed. By demonstrating the PK/PD discrepancy of preclinical studies versus in vivo models and clinical results, the potential reasons behind the disconnect between preclinical results and clinical outcomes are discussed together with strategies for developing ideal analgesic agents. This journal is © The Royal Society of Chemistry.

Entities:  

Year:  2022        PMID: 36092147      PMCID: PMC9384491          DOI: 10.1039/d2md00081d

Source DB:  PubMed          Journal:  RSC Med Chem        ISSN: 2632-8682


  156 in total

1.  3-Oxoisoindoline-1-carboxamides: potent, state-dependent blockers of voltage-gated sodium channel Na(V)1.7 with efficacy in rat pain models.

Authors:  Istvan Macsari; Yevgeni Besidski; Gabor Csjernyik; Linda I Nilsson; Lars Sandberg; Ulrika Yngve; Kristofer Ahlin; Tjerk Bueters; Anders B Eriksson; Per-Eric Lund; Elisabet Venyike; Sandra Oerther; Karin Hygge Blakeman; Lei Luo; Per I Arvidsson
Journal:  J Med Chem       Date:  2012-07-23       Impact factor: 7.446

Review 2.  Drug-target residence time and its implications for lead optimization.

Authors:  Robert A Copeland; David L Pompliano; Thomas D Meek
Journal:  Nat Rev Drug Discov       Date:  2006-08-04       Impact factor: 84.694

3.  Discovery of Indole- and Indazole-acylsulfonamides as Potent and Selective NaV1.7 Inhibitors for the Treatment of Pain.

Authors:  Guanglin Luo; Ling Chen; Amy Easton; Amy Newton; Clotilde Bourin; Eric Shields; Kathy Mosure; Matthew G Soars; Ronald J Knox; Michele Matchett; Rick L Pieschl; Debra J Post-Munson; Shuya Wang; James Herrington; John Graef; Kimberly Newberry; Digavalli V Sivarao; Arun Senapati; Linda J Bristow; Nicholas A Meanwell; Lorin A Thompson; Carolyn Dzierba
Journal:  J Med Chem       Date:  2019-01-08       Impact factor: 7.446

Review 4.  NaV1.7 as a pain target - From gene to pharmacology.

Authors:  Irina Vetter; Jennifer R Deuis; Alexander Mueller; Mathilde R Israel; Hana Starobova; Alan Zhang; Lachlan D Rash; Mehdi Mobli
Journal:  Pharmacol Ther       Date:  2016-12-02       Impact factor: 12.310

5.  Discovery and hit-to-lead evaluation of piperazine amides as selective, state-dependent NaV1.7 inhibitors.

Authors:  Brian A Sparling; S Yi; J Able; H Bregman; Erin F DiMauro; R S Foti; H Gao; A Guzman-Perez; H Huang; M Jarosh; T Kornecook; J Ligutti; B C Milgram; B D Moyer; B Youngblood; V L Yu; M M Weiss
Journal:  Medchemcomm       Date:  2016-12-02       Impact factor: 3.597

6.  Design of Phase 3 Studies Evaluating Vixotrigine for Treatment of Trigeminal Neuralgia.

Authors:  Mona Kotecha; William P Cheshire; Helen Finnigan; Kathryn Giblin; Himanshu Naik; Joanne Palmer; Simon Tate; Joanna M Zakrzewska
Journal:  J Pain Res       Date:  2020-07-01       Impact factor: 3.133

7.  The crystal structure of a voltage-gated sodium channel.

Authors:  Jian Payandeh; Todd Scheuer; Ning Zheng; William A Catterall
Journal:  Nature       Date:  2011-07-10       Impact factor: 49.962

8.  Lack of Detection of the Analgesic Properties of PF-05089771, a Selective Nav 1.7 Inhibitor, Using a Battery of Pain Models in Healthy Subjects.

Authors:  Pieter Siebenga; Guido van Amerongen; Justin L Hay; Aoibhinn McDonnell; Donal Gorman; Richard Butt; Geert Jan Groeneveld
Journal:  Clin Transl Sci       Date:  2019-11-12       Impact factor: 4.689

9.  Engineering of highly potent and selective HNTX-III mutant against hNav1.7 sodium channel for treatment of pain.

Authors:  Yunxiao Zhang; Li Wang; Dezheng Peng; Qingfeng Zhang; Qiuchu Yang; Jiayan Li; Dan Li; Dongfang Tang; Minzhi Chen; Songping Liang; Yu Liu; Sheng Wang; Zhonghua Liu
Journal:  J Biol Chem       Date:  2021-01-23       Impact factor: 5.157

10.  SCN9A mutations in paroxysmal extreme pain disorder: allelic variants underlie distinct channel defects and phenotypes.

Authors:  Caroline R Fertleman; Mark D Baker; Keith A Parker; Sarah Moffatt; Frances V Elmslie; Bjarke Abrahamsen; Johan Ostman; Norbert Klugbauer; John N Wood; R Mark Gardiner; Michele Rees
Journal:  Neuron       Date:  2006-12-07       Impact factor: 17.173

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