ferulic-acid and Disease-Models--Animal

A novel series of O-carbamoyl ferulamide derivatives were designed by multitarget-directed ligands (MTDLs) strategy, the derivatives were synthesized and evaluated to treat Alzheimer's disease (AD). In vitro biological evaluation demonstrated that compound 4f was the best pseudo-irreversible hBChE (human butyrylcholinesterase) inhibitor with an IC

Topics: Alzheimer Disease; Amides; Amyloid beta-Peptides; Animals; Cell Line; Cell Survival; Disease Models, Animal; Dose-Response Relationship, Drug; Drug Design; Humans; Ligands; Mice; Mice, Inbred Strains; Microsomes, Liver; Molecular Structure; Peptide Fragments; Positron Emission Tomography Computed Tomography; Protein Aggregates; Rats; Structure-Activity Relationship; Zebrafish

In our overall goal to overcome the limitations associated with natural products for the management of Alzheimer's disease and to develop in-vivo active multifunctional cholinergic inhibitors, we embarked on the development of ferulic acid analogs. A systematic SAR study to improve upon the cholinesterase inhibition of ferulic acid with analogs that also had lower logP was carried out. Enzyme inhibition and kinetic studies identified compound 7a as a lead molecule with preferential acetylcholinesterase inhibition (AChE IC

Topics: Alzheimer Disease; Amino Acid Sequence; Amyloid beta-Peptides; Animals; Antioxidants; Biological Products; Cell Line; Cell Survival; Cholinergic Agents; Cholinesterase Inhibitors; Cholinesterases; Cognitive Dysfunction; Coumaric Acids; Disease Models, Animal; Drug Evaluation, Preclinical; Humans; Male; Maze Learning; Mice; Models, Molecular; Peptide Fragments; Scopolamine; Spatial Memory

When Zika virus emerged as a public health emergency there were no drugs or vaccines approved for its prevention or treatment. We used a high-throughput screen for Zika virus protease inhibitors to identify several inhibitors of Zika virus infection. We expressed the NS2B-NS3 Zika virus protease and conducted a biochemical screen for small-molecule inhibitors. A quantitative structure-activity relationship model was employed to virtually screen ∼138,000 compounds, which increased the identification of active compounds, while decreasing screening time and resources. Candidate inhibitors were validated in several viral infection assays. Small molecules with favorable clinical profiles, especially the five-lipoxygenase-activating protein inhibitor, MK-591, inhibited the Zika virus protease and infection in neural stem cells. Members of the tetracycline family of antibiotics were more potent inhibitors of Zika virus infection than the protease, suggesting they may have multiple mechanisms of action. The most potent tetracycline, methacycline, reduced the amount of Zika virus present in the brain and the severity of Zika virus-induced motor deficits in an immunocompetent mouse model. As Food and Drug Administration-approved drugs, the tetracyclines could be quickly translated to the clinic. The compounds identified through our screening paradigm have the potential to be used as prophylactics for patients traveling to endemic regions or for the treatment of the neurological complications of Zika virus infection.

Topics: Animals; Antiviral Agents; Artificial Intelligence; Chlorocebus aethiops; Disease Models, Animal; Drug Evaluation, Preclinical; High-Throughput Screening Assays; Immunocompetence; Inhibitory Concentration 50; Methacycline; Mice, Inbred C57BL; Protease Inhibitors; Quantitative Structure-Activity Relationship; Small Molecule Libraries; Vero Cells; Zika Virus; Zika Virus Infection