The Journal of Phytopharmacology, 2020;9(2):96-101 ; DOI:10.31254/phyto.2020.9204
Predictive assessment of soybean oil and fructose for the development of metabolic syndrome
Patil Ashwini M1 , NA Khatib2 , D’silva Wilnoska W2
1. Department of Pharmacology and Toxicology, KLE College of Pharmacy, Belagavi, KLE Academy of Higher Education and Research (KAHER), Belagavi 590010, India
2. Department of Pharmacology and Toxicology, KLE College of Pharmacy Belagavi, KLE Academy of Higher Education and Research (KAHER), Belagavi-590010, India
*Author to whom correspondence should be addressed.
Received: 6th March, 2020 / Accepted: 31st March, 2020
Worldwide soybean oil consumption is high as it is used in processed food. Many studies reported that use of soybean oil has a risk of developing metabolic syndrome, but there is no scientific claim that soybean oil has developed metabolic syndrome. Similarly, nowadays, most of the increase in fructose consumption is derived from refined sugars and processed foods. Hence, the present study dealt to imply the probable proteins modulated in metabolic syndrome. The structural information of bioactive phytoconstituents was retrieved from different open source databases. Compounds were then predicted for their hits with the probable targets involved in the metabolic syndrome. The modulated protein pathways identified by using the REACTOME pathway analysis. Network was constructed proteins involved in metabolic syndrome with phytoconstituents. The phytoconstituents namely linolenic acid, linoleic acid and oleic acid were majorly targeted by the modulated proteins involved in metabolic syndrome. In conclusion, the present study reflects the combination of soybean oil and fructose can provide the better model for metabolic syndrome.
Metabolic syndrome, Soybean oil, Fructose, Network pharmacology.
HOW TO CITE THIS ARTICLE
Patil Ashwini M, Khatib NA, D’silva Wilnoska W. Predictive assessment of soybean oil and fructose for the development of metabolic syndrome. J Phytopharmacol 2020 ; 9 ( 2):96 -101 .
Creative Commons (CC) License-
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY 4.0) license. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. (http://creativecommons.org/licenses/by/4.0/).
Copyright
Copyright © 2020 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0.