Exploring multitarget potential of Piper nigrum fruit constituents for Alzheimer's disease: An AI-driven strategy.

Phytomedicine

Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's NMIMS (Deemed to be University), Mumbai 400056, India.

Published: December 2024

AI Article Synopsis

  • Alzheimer's disease (AD) is a progressive brain disorder that causes memory and cognitive decline, and while there are no cures, certain plant compounds, like those from Piper nigrum (black pepper), show promise as potential treatments.
  • The research aimed to identify effective compounds from Piper nigrum through techniques like LCMS analysis and in silico studies to find substances that can target multiple areas related to AD treatment.
  • The study identified 29 significant compounds and discovered 41 common gene targets related to AD, with one compound (P4) showing strong binding to key proteins associated with the disease, indicating its potential as an anti-AD drug with stable interactions.

Article Abstract

Background: Alzheimer's disease (AD) is a neurodegenerative disease that leads to development of cognition and memory dysfunctions. Currently, there is no known cure for AD, although limited medications are approved for the management of disease condition. Various plant-based leads give new hope for considering phytoconstituents as anti-AD drugs. The Piper nigrum L. fruit extract was reported to have anti-Alzheimer's activity. It creates an interest in the finding of active moieties that may be accountable for anti-AD activity.

Hypothesis/purpose: Identification of multitarget directed ligands isolated from Piper nigrum fruits through AI based studies.

Study Design: The phytochemical analysis of alkaloid fraction was carried out by LCMS, followed by the evaluation of constituents through in silico studies.

Methods: The fruits methanolic extract was prepared by cold maceration technique. The chemical profiling of the alkaloidal fraction was carried out using LCMS/MS analysis. The obtained compound's target hit genes were identified through network pharmacology studies using String, Metascape, and Cytoscape tools. Further, docking studies and MD simulations were carried out using AutoDock4 and Desmond-Maestro software. Then, electrochemical properties of hit compound P4 were determined using Gaussview6 software.

Results: From LCMS/MS analysis data, 29 compounds were considered based on compound intensity and accuracy (>95 %). Then, 41 common gene targets were identified from AD genes and compound-targeted genes. The 41 common genes in the PPI network suggested that AChE and BACE1 were the most abundant proteins. Further, docking studies revealed the hit compound P4 binding interaction and energies when compared to other 28 ligands. The molecular dynamics studies showed that P4-AChE and P4-BACE1 complexes were stable, and there were no RMSD and RMSF fluctuations were observed up to 100 ns. Further, PCA and MM-GBSA analysis data supported that complexes (P4-AChE and P4-BACE1) were stable. The DFT and surface properties indicated that compound P4 was ideal candidate for AD treatment and must be considered for further biological activity studies.

Conclusion: The study identified compound P4 (dehydropipernonaline) from alkaloidal fraction of Piper nigrum fruits, suggesting it may be hit candidate for AD treatment.

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Source
http://dx.doi.org/10.1016/j.phymed.2024.156108DOI Listing

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