Literature DB >> 30776693

The in vivo antinociceptive and μ-opioid receptor activating effects of the combination of N-phenyl-2',4'-dimethyl-4,5'-bi-1,3-thiazol-2-amines and naloxone.

Shu-Yu Lin1, Yu-Hsien Kuo1, Ya-Wen Tien1, Yi-Yu Ke1, Wan-Ting Chang1, Hsiao-Fu Chang1, Li-Chin Ou1, Ping-Yee Law2, Jing-Hua Xi2, Pao-Luh Tao3, Horace H Loh2, Yu-Sheng Chao1, Chuan Shih1, Chiung-Tong Chen1, Shiu-Hwa Yeh4, Shau-Hua Ueng5.   

Abstract

Morphine is widely used for the treatment of severe pain. This analgesic effect is mediated principally by the activation of μ-opioid receptors (MOR). However, prolonged activation of MOR also results in tolerance, dependence, addiction, constipation, nausea, sedation, and respiratory depression. To address this problem, we sought alternative ways to activate MOR - either by use of novel ligands, or via a novel activation mechanism. To this end, a series of compounds were screened using a sensitive CHO-K1/MOR/Gα15 cell-based FLIPR® calcium high-throughput screening (HTS) assay, and the bithiazole compound 5a was identified as being able activate MOR in combination with naloxone. Structural modifications of 5a resulted in the discovery of lead compound 5j, which could effectively activate MOR in combination with the MOR antagonist naloxone or naltrexone. In vivo, naloxone in combination with 100 mg/kg of compound 5j elicited antinociception in a mouse tail-flick model with an ED50 of 17.5 ± 4 mg/kg. These results strongly suggest that the mechanism by which the 5j/naloxone combination activates MOR is worthy of further study, as its discovery has the potential to yield an entirely novel class of analgesics.
Copyright © 2019 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Antagonist; Antinociception; High-throughput screen; Naloxone; Naltrexone; Opioid receptor activation

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Year:  2019        PMID: 30776693     DOI: 10.1016/j.ejmech.2019.01.063

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  2 in total

1.  Comparative study between deep learning and QSAR classifications for TNBC inhibitors and novel GPCR agonist discovery.

Authors:  Lun K Tsou; Shiu-Hwa Yeh; Shau-Hua Ueng; Chun-Ping Chang; Jen-Shin Song; Mine-Hsine Wu; Hsiao-Fu Chang; Sheng-Ren Chen; Chuan Shih; Chiung-Tong Chen; Yi-Yu Ke
Journal:  Sci Rep       Date:  2020-10-08       Impact factor: 4.379

Review 2.  An Overview of the Synthesis and Antimicrobial, Antiprotozoal, and Antitumor Activity of Thiazole and Bisthiazole Derivatives.

Authors:  Anca-Maria Borcea; Ioana Ionuț; Ovidiu Crișan; Ovidiu Oniga
Journal:  Molecules       Date:  2021-01-25       Impact factor: 4.411

  2 in total

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