AI Unlocks Olive Oil’s Potential in Alzheimer’s Battle

Summary: Researchers have utilized artificial intelligence to uncover the promising potential of extra virgin olive oil (EVOO) in combating Alzheimer’s disease (AD).

By integrating AI, chemistry, and omics research, the study identified specific bioactive compounds in EVOO that could contribute to the treatment and prevention of AD. Ten phytochemicals within EVOO, such as quercetin, genistein, luteolin, and kaempferol, were found to exhibit potential impacts on AD protein networks.

The study adds to the growing evidence for the neuroprotective effects of a Mediterranean diet, rich in EVOO, in mitigating dementia and cognitive decline.

Key Facts:

  1. The study utilized artificial intelligence to analyze the interaction between bioactive compounds in extra virgin olive oil and Alzheimer’s disease pathways.
  2. Ten specific phytochemicals, including quercetin, genistein, luteolin, and kaempferol, were identified as having the highest likelihood of impacting AD protein networks.
  3. The research supports the neuroprotective effects of a Mediterranean diet, rich in EVOO, which has been associated with a reduced risk of dementia and cognitive decline.

Source: Temple University

A recent study has used artificial intelligence (AI) to reveal the remarkable potential of extra virgin olive oil (EVOO) in the fight against Alzheimer’s disease (AD).

Researchers combined AI technology, chemistry, and omics research to identify specific bioactive compounds in EVOO that show promising effects in treating and preventing AD.

This shows olive oil.
The findings identified ten EVOO phytochemicals with the highest likelihood of impacting AD protein networks. Credit: Neuroscience News

The article titled “Alzheimer’s disease: using gene/protein network machine learning for molecule discovery in olive oil” appears in Human Genomics.

AD imposes a significant burden on individuals and society, but EVOO’s neuroprotective effects have garnered attention. The Mediterranean diet, rich in EVOO, has been associated with a reduced risk of dementia and cognitive decline.

Harnessing the power of AI, researchers aimed to uncover the secrets behind EVOO’s therapeutic potential for AD.

The study utilized network machine learning and graph neural networks to analyze how bioactive compounds in EVOO interact with the complex pathways involved in AD.

The findings identified ten EVOO phytochemicals with the highest likelihood of impacting AD protein networks. Compounds like quercetin, genistein, luteolin, and kaempferol exhibited promising effects on AD pathogenesis.

About this AI an Alzheimer’s disease research news

Author: Luís Rita
Source: Temple University
Contact: Luís Rita – Temple University
Image: The image is credited to Neuroscience News

Original Research: Open access.
Alzheimer’s disease: using gene/protein network machine learning for molecule discovery in olive oil” by Luís Rita et al. Human Genomics


Abstract

Alzheimer’s disease: using gene/protein network machine learning for molecule discovery in olive oil

Alzheimer’s disease (AD) poses a profound human, social, and economic burden. Previous studies suggest that extra virgin olive oil (EVOO) may be helpful in preventing cognitive decline.

Here, we present a network machine learning method for identifying bioactive phytochemicals in EVOO with the highest potential to impact the protein network linked to the development and progression of the AD.

A balanced classification accuracy of 70.3 ± 2.6% was achieved in fivefold cross-validation settings for predicting late-stage experimental drugs targeting AD from other clinically approved drugs.

The calibrated machine learning algorithm was then used to predict the likelihood of existing drugs and known EVOO phytochemicals to be similar in action to the drugs impacting AD protein networks.

These analyses identified the following ten EVOO phytochemicals with the highest likelihood of being active against AD: quercetin, genistein, luteolin, palmitoleate, stearic acid, apigenin, epicatechin, kaempferol, squalene, and daidzein (in the order from the highest to the lowest likelihood).

This in silico study presents a framework that brings together artificial intelligence, analytical chemistry, and omics studies to identify unique therapeutic agents.

It provides new insights into how EVOO constituents may help treat or prevent AD and potentially provide a basis for consideration in future clinical studies.

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