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1.
EBioMedicine ; 59: 102892, 2020 Sep.
Article in English | MEDLINE | ID: mdl-32818803

ABSTRACT

BACKGROUND: Cholinergic neuronal loss is one of the hallmarks of AD related neurodegeneration; however, preclinical promise of α7 nAChR drugs failed to translate into humans. CHRFAM7A, a uniquely human fusion gene, is a negative regulator of α7 nAChR and was unaccounted for in preclinical models. METHODS: Molecular methods: Function of CHRFAM7A alleles was studied in vitro in two disease relevant phenotypic readouts: electrophysiology and Aß uptake. Genome edited human induced pluripotent stem cells (iPSC) were used as a model system with the human context. Double blind pharmacogenetic study: We performed double-blind pharmacogenetic analysis on the effect of AChEI therapy based on CHRFAM7A carrier status in two paradigms: response to drug initiation and DMT effect. Mini Mental Status Examination (MMSE) was used as outcome measure. Change in MMSE score from baseline was compared by 2-tailed T-test. Longitudinal analysis of clinical outcome (MMSE) was performed using a fitted general linear model, based on an assumed autoregressive covariance structure. Model independent variables included age, sex, and medication regimen at the time of the first utilized outcome measure (AChEI alone or AChEI plus memantine), APOE4 carrier status (0, 1 or 2 alleles as categorical variables) and CHRFAM7A genotype. FINDINGS: The direct and inverted alleles have distinct phenotypes. Functional CHRFAM7A allele classifies the population as 25% non-carriers and 75% carriers. Induced pluripotent stem cell (iPSC) models α7 nAChR mediated Aß neurotoxicity. Pharmacological readout translates into both first exposure (p = 0.037) and disease modifying effect (p = 0.0048) in two double blind pharmacogenetic studies. INTERPRETATION: CHRFAM7A accounts for the translational gap in cholinergic strategies in AD. Clinical trials not accounting for this uniquely human genetic factor may have rejected drug candidates that would benefit 25% of AD. Reanalyses of the completed trials using this pharmacogenetic paradigm may identify effective therapy.


Subject(s)
Alzheimer Disease/metabolism , Alzheimer Disease/therapy , Cholinergic Neurons/metabolism , Recombinant Fusion Proteins , alpha7 Nicotinic Acetylcholine Receptor/genetics , Alleles , Alzheimer Disease/diagnosis , Alzheimer Disease/etiology , Amyloid beta-Peptides/metabolism , Biomarkers , Cell Line , Cholinergic Antagonists/pharmacology , Cholinergic Antagonists/therapeutic use , Drug Evaluation, Preclinical , Fluorescent Antibody Technique , Gene Dosage , Gene Frequency , Genotype , Humans , Induced Pluripotent Stem Cells/metabolism , Phenotype , Synaptic Transmission , Translational Research, Biomedical , Treatment Outcome , alpha7 Nicotinic Acetylcholine Receptor/metabolism
2.
Molecules ; 24(3)2019 Jan 27.
Article in English | MEDLINE | ID: mdl-30691196

ABSTRACT

Neurodegenerative disorders, including Alzheimer's disease, belong to the group of the most difficult and challenging conditions with very limited treatment options. Attempts to find new drugs in most cases fail at the clinical stage. New tactics to develop better drug candidates to manage these diseases are urgently needed. It is evident that better understanding of the neurodegeneration process is required and targeting multiple receptors may be essential. Herein, we present a novel approach, searching for dual active compounds interacting with acetylcholinesterase (AChE) and the α7 nicotinic acetylcholine receptor (nAChR) using computational chemistry methods including homology modelling and high throughput virtual screening. Activities of identified hits were evaluated at the two targets using the colorimetric method of Ellman and two-electrode voltage-clamp electrophysiology, respectively. Out of 87,250 compounds from a ZINC database of natural products and their derivatives, we identified two compounds, 8 and 9, with dual activity and balanced IC50 values of 10 and 5 µM at AChE, and 34 and 14 µM at α7 nAChR, respectively. This is the first report presenting successful use of virtual screening in finding compounds with dual mode of action inhibiting both the AChE enzyme and the α7 nAChR and shows that computational methods can be a valuable tool in the early lead discovery process.


Subject(s)
Acetylcholinesterase/chemistry , Drug Design , Ligands , Quantitative Structure-Activity Relationship , alpha7 Nicotinic Acetylcholine Receptor/chemistry , Animals , Drug Evaluation, Preclinical , Enzyme Activation/drug effects , Humans , Kinesics , Molecular Docking Simulation , Molecular Dynamics Simulation , Molecular Structure , Neurodegenerative Diseases/drug therapy
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