Fishing the Targets of Bioactive Compounds from Psidium guajava L. Leaves in the Context of Diabetes

Author:

Díaz-de-Cerio Elixabet1,Girón Francisco2,Pérez-Garrido Alfonso3ORCID,Pereira Andreia S. P.4,Gabaldón-Hernández José Antonio5ORCID,Verardo Vito67ORCID,Segura Carretero Antonio38ORCID,Pérez-Sánchez Horacio3ORCID

Affiliation:

1. Department of Nutrition and Food Science, University of Granada, Campus of Melilla, 52005 Melilla, Spain

2. Department of Human Nutrition and Food Technology, Universidad Católica de Murcia UCAM, Campus de los Jerónimos, 30107 Guadalupe, Spain

3. Structural Bioinformatics and High Performance Computing Research Group (BIO-HPC), Universidad Católica San Antonio de Murcia (UCAM), 30107 Guadalupe, Spain

4. Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0083, South Africa

5. Molecular Encapsulation Research Group, Universidad Católica San Antonio de Murcia (UCAM), 30107 Guadalupe, Spain

6. Department of Nutrition and Food Science, University of Granada, Campus of Cartuja, 18071 Granada, Spain

7. Institute of Nutrition and Food Technology ‘José Mataix’, Biomedical Research Center, University of Granada, Avda del Conocimiento Sn., 18100 Armilla, Spain

8. Department of Analytical Chemistry, Faculty of Sciences, University of Granada, Avd. Fuentenueva s/n, 18071 Granada, Spain

Abstract

Psidium guajava L. (guava) leaves have demonstrated their in vitro and in vivo effect against diabetes mellitus (DM). However, there is a lack of literature concerning the effect of the individual phenolic compounds present in the leaves in DM disease. The aim of the present work was to identify the individual compounds in Spanish guava leaves and their potential contribution to the observed anti-diabetic effect. Seventy-three phenolic compounds were identified from an 80% ethanol extract of guava leaves by high performance liquid chromatography coupled to electrospray ionization and quadrupole time-of-flight mass spectrometry. The potential anti-diabetic activity of each compound was evaluated with the DIA-DB web server that uses a docking and molecular shape similarity approach. The DIA-DB web server revealed that aldose reductase was the target protein with heterogeneous affinity for compounds naringenin, avicularin, guaijaverin, quercetin, ellagic acid, morin, catechin and guavinoside C. Naringenin exhibited the highest number of interactions with target proteins dipeptidyl peptidase-4, hydroxysteroid 11-beta dehydrogenase 1, aldose reductase and peroxisome proliferator-activated receptor. Compounds catechin, quercetin and naringenin displayed similarities with the known antidiabetic drug tolrestat. In conclusion, the computational workflow showed that guava leaves contain several compounds acting in the DM mechanism by interacting with specific DM protein targets.

Funder

the Spanish Ministry of Economy and Competitiveness

the supercomputing infrastructure of Poznan Supercomputing Center

the e-infrastructure program of the Research Council of Norway

the supercomputer center of UiT—the Arctic University of Norway

the computing facilities of Extremadura Research Centre for Advanced Technologies

the European Regional Development Fund

Spanish Ministry of Economy and Competitiveness

Una manera de hacer Europa

Plataforma Andaluza de Bioinformática of the University of Málaga

the supercomputing infrastructure of the NLHPC

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3