EventsThe 4th International Electronic Conference on Brain Sciences
Published
This submission belongs to the session S5. Neurodegenerative Diseases of the event The 4th International Electronic Conference on Brain Sciences
Published date
22 Oct, 2024
Academic Editor
author-avatarCarla Masala
Citation
Atiqa Shahid, Calculation of Synergy to Discover the Multitarget Potential of Novel Combinations of Betanin, Betaine, and Quercetin against Alzheimer’s Disease, in Proceedings of The 4th International Electronic Conference on Brain Sciences, 23 October–25 October 2024, MDPI: Basel, Switzerland
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Calculation of Synergy to Discover the Multitarget Potential of Novel Combinations of Betanin, Betaine, and Quercetin against Alzheimer’s Disease

1. Functional Genomics and Proteomics Lab, Department of Biosciences, COMSATS University Islamabad, Islamabad Capital Territory 45550, Pakistan, Pakistan
Abstract

Alzheimer’s disease (AD) is a rising pandemic that is estimated to affect up to 139 million people in 2050 along with other dementias. The failure of using mono-target therapy against Alzheimer’s has shifted the focus towards multi-target approaches. Phytocompounds have complex chemical structures that enable them to target multiple pathways of disease. Our previous studies and studies from several other groups have emphasized the use of individual phytocompounds like Quercetin, Betanin, and Betaine for the treatment and management of AD. So, we hypothesized about a combinatorial therapy approach by making dual combinations of Quercetin, Betanin, and Betaine. We tested the antioxidant, anti-inflammatory, and anti-acetylcholinesterase potential of the individual compounds, as well as dual combinations, by performing in vitro assays. We then performed an enzyme (AChE) kinetics analysis to identify the mechanism of inhibition employed by each compound against AChE. From the results obtained, we calculated the drug–drug interaction-like synergy between these drug combinations by using mathematical models of their synergy. In this way, we were able to find combinations with higher antioxidant, anti-inflammatory, and anti-AChE activity, even when the dose was reduced. We then performed network pharmacology-based identification of multiple gene and pathway targets for our compounds in humans against AD. We conclude that these combinations have excellent multi-target potential and should be further tested in AD models to better understand their effects on AD pathology.

Keywords
Alzheimer's disease
Phytocompounds Combinations
Synergy
Anti-Acetylcholinesterase activity
Anti-oxidant
Anti-inflammatory
Drug Drug Interactions
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