1 |
Development of Pharmacologically Distinct Opioid AnalgesicsPatel, Shivani 29 September 2022 (has links)
Opioid analgesics have been a major contribution to pain therapy with opioids being used as an effective treatment for various recalcitrant pain conditions. The drug class has come under increased scrutiny due to the raising concerns about the public health crisis of opioid misuse and addiction, thereby increasing the need for alternative and safer analgesics. The exploration of alternative pharmacotherapy for pain management has led to an increasing paradigm shift towards the development of a single-drug-multiple-target approach that takes inspiration from numerous naturally occurring drugs. The mu-opioid receptor has been the primary target for the management of pain; however, the voltage-gated sodium channel Nav1.7 is gaining attention as a putative antinociceptive target based on human genetic evidence. The proposed research aims to develop multi-target directed ligands (MTDL) that modulates two key targets for pain perception, the MOR, and Nav1.7 to generate analgesics with reduced side effects and enhanced analgesia. This will be achieved by exploiting polypharmacology to develop hybrid analgesia in two ways: (i) performing structure-activity relationship (SAR) studies to design a single drug with two pharmacophores that specifically interacts with both the targets (ii) exploiting in silico techniques by performing structure-based virtual ligand screening (VLS) of a chemical library. In our work, we report that through SAR studies and molecular docking studies that the designed compounds having in combination the pharmacophore of PZM21 and aryl sulfonamide demonstrate significant interactions between the active compounds and both the MOR and Nav1.7 proteins. This study also reports the first ever bifunctional virtual ligand screening where a library consisting of over a million compounds was screened for bifunctional activity at the MOR and the Nav1.7 ion channel. We also report the development of a novel mechanism-specific membrane potential assay to that can be used to screen for subtype selective Nav1.7 inhibitors. The research performed in this thesis will serve as a platform to explore the possibility of MTDL as potential therapeutic solutions to diseases of complex etiologies such as chronic pain. It will also serve as a starting point to exploring bifunctional VLS as a way to screen large chemical libraries for MTDLs.
|
2 |
Účinky multipotentních sloučenin ovlivňujících neurotransmisi ve farmakologických animálních modelech kognitivního deficitu / Effects of Neurotransmission-Modulating Multipotent Compounds in Pharmacological Animal Models of Cognitive DeficitChvojková, Markéta January 2021 (has links)
In preclinical research on Alzheimer's disease pharmacotherapy, attention is paid to multipotent compounds, enabling intensification of the effect by targeting multiple pathophysiological mechanisms. The aim of the thesis was to assess the effect of multipotent compounds and combination therapy in models of cognitive deficit in the rat. The mechanism of action of the tested compounds was modulation of neurotransmitter systems. The aim of the first part of the study was to compare the effect of experimental monotherapy and combination therapy with an N-methyl-D-aspartate (NMDA) receptor antagonist and a γ-aminobutyric acid type A (GABAA) receptor positive modulator in the trimethyltin-induced model. Superiority of the combination therapy was proven by histological analysis of hippocampal neurodegeneration; however, it did not reach statistical significance in the cognitive test. The other part of the thesis focused on multipotent tacrine derivatives. We demonstrated a positive effect of 6- chlorotacrine-6-nitrobenzothiazole hybrid, as well as 6-chlorotacrine-L-tryptophan hybrid, acting as acetylcholinesterase inhibitors, in the scopolamine-induced model of cognitive deficit. Besides, we demonstrated a low risk of serious side effects of other tacrine derivatives acting as NMDA receptor antagonists....
|
Page generated in 0.1116 seconds