HPLC-Based Activity Profiling for GABAA Receptor Modulators in Extracts: Validation of an Approach Utilizing a Larval Zebrafish Locomotor Assay.
Fahimeh Moradi-AfrapoliSamad Nejad EbrahimiMartin SmieskoMatthias HamburgerPublished in: Journal of natural products (2017)
Gamma-aminobutyric acid type A (GABAA) receptors are major inhibitory neurotransmitter receptors in the central nervous system and a target for numerous clinically important drugs used to treat anxiety, insomnia, and epilepsy. A series of allosteric GABAA receptor agonists was identified previously with the aid of HPLC-based activity profiling, whereby activity was tracked with an electrophysiological assay in Xenopus laevis oocytes. To accelerate the discovery process, an approach has been established for HPLC-based profiling using a larval zebrafish (Danio rerio) seizure model induced by pentylenetetrazol (PTZ), a pro-convulsant GABAA receptor antagonist. The assay was validated with the aid of representative GABAergic plant compounds and extracts. Various parameters that are relevant for the quality of results obtained, including PTZ concentration, the number of larvae, the incubation time, and the data analysis protocol, were optimized. The assay was then translated into an HPLC profiling protocol, and active compounds were tracked in extracts of Valeriana officinalis and Magnolia officinalis. For selected compounds the effects in the zebrafish larvae model were compared with data from in silico blood-brain barrier (BBB) permeability predictions, to validate the use for discovery of BBB-permeable natural products.
Keyphrases
- blood brain barrier
- ms ms
- high throughput
- simultaneous determination
- single cell
- small molecule
- data analysis
- high performance liquid chromatography
- aedes aegypti
- solid phase extraction
- drosophila melanogaster
- tandem mass spectrometry
- randomized controlled trial
- cerebral ischemia
- mass spectrometry
- liquid chromatography
- big data
- machine learning
- zika virus
- electronic health record
- deep learning
- artificial intelligence
- brain injury
- cell free
- physical activity
- drug induced
- subarachnoid hemorrhage
- structural basis