Kanuka bush leaves for Alzheimer’s disease: Improved inhibition of -secretase enzyme, antioxidant capacity and yield of extracts by ultrasound assisted extraction

Alzheimer’s disease (AD) is a neurodegenerative disease leading to irreversible neuronal damage. Kanuka or Kunzea ericoides (A. Richard) revealed a remarkable inhibition of - secretase activity, an important enzyme for AD. This study presents optimization of the ultrasound assisted extraction (UAE)...

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Bibliographic Details
Main Authors: Hafiz Majid, Filipa V.M. Silva
Format: Article
Language:English
English
Published: Elsevier 2021
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/36518/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/36518/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/36518/
https://doi.org/10.1016/j.fbp.2021.04.018
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Institution: Universiti Malaysia Sabah
Language: English
English
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Summary:Alzheimer’s disease (AD) is a neurodegenerative disease leading to irreversible neuronal damage. Kanuka or Kunzea ericoides (A. Richard) revealed a remarkable inhibition of - secretase activity, an important enzyme for AD. This study presents optimization of the ultrasound assisted extraction (UAE) of inhibitors of -secretase and antioxidants from K. ericoides leaves, and yield by response surface methodology (RSM). Experimental validation of optimized conditions and 50% inhibitory extract concentrations (IC50) determinations were performed. The extraction time and temperature were significant for enzyme inhibition, RSA (DPPH radical scavenging activity) and yield, while acoustic power density had less effect on the 3 responses. The optimum conditions were 15.6 min extraction time, 69 ◦C and 0.43 W/mL. The ultrasound extraction produced better extracts in term of enzyme inhibition and RSA (lower IC50: 14.25 g/mL enzyme, 3.17 g/mL RSA), in comparison to Soxhlet and maceration combined with heat, and a more rapid extraction with increased yield of extraction. Ultrasound kanuka extracts can potentially complement existing AD treatment