Discovering the therapeutic potential of Naringenin in diabetes related to GLUT-4 and its regulatory factors: A computational approach

This study explores the therapeutic potential of Naringenin, a natural flavonoid, in managing Type 2 Diabetes Mellitus (T2DM) by focusing on Glucose Transporter 4 (GLUT4) and related regulatory proteins that play a role in glucose and lipid metabolism. Through bioinformatics analysis, key proteins such as Carnitine palmitoyltransferase I, mitochondrial carnitine/acylcarnitine carrier protein, and PPARγ were identified, highlighting their importance in insulin sensitivity. Molecular docking results indicated that Naringenin has a strong binding affinity for GLUT4 and PPARγ, with binding energies of -8.18 kcal/mol and -8.21 kcal/mol, respectively. This suggests that Naringenin may modulate these proteins to enhance insulin sensitivity. In contrast, its weaker binding with Enhancer-Binding Protein Alpha points to Naringenin's selective efficacy among various targets. Molecular dynamics (MD) simulations conducted over 100 ns confirmed the stability of the GLUT4-Naringenin complex, showing a reduced RMSD of 1.25 nm and a more compact structure with a Radius of Gyration (Rg) value of 2.14 nm. However, Rho-related GTP exhibited increased instability upon Naringenin binding, indicating a potential inhibitory effect. Additionally, an in silico ADMET profile revealed Naringenin's favorable pharmacokinetics, including low hepatotoxicity, no mutagenic effects, and a high maximum tolerated dose, which supports its safety for drug development. In conclusion, Naringenin shows promising potential in enhancing glucose metabolism and insulin sensitivity, positioning it as a viable candidate for future preclinical and clinical studies in T2DM management. Future research should aim to validate these computational findings through experimental methods and investigate possible synergistic effects with existing antidiabetic medications to improve treatment outcomes.

Authors

Institutions

Publication Details

Journal
Chemical Physics Impact
Published
2024-11-19
DOI
https://doi.org/10.1016/j.chphi.2024.100784
Citations
18
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
6.51
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discovering the therapeutic potential of Naringenin in diabetes related to GLUT-4 and its regulatory factors: A computational approach

Seyedeh Atefeh Mirahmadi, Payam Baziyar, Shamim Ghiabi, Mohammad Karami Horestani et al.
18 citations
Chemical Physics Impact
Computational Drug Discovery Methods
6.51
article

Discovering the therapeutic potential of Naringenin in diabetes related to GLUT-4 and its regulatory factors: A computational approach

Seyedeh Atefeh Mirahmadi, Payam Baziyar, Shamim Ghiabi, Mohammad Karami Horestani, Ali Kazemi Babaheydari, Ehsan Heidari-Soureshjani, Ali Khakpour
article en
18 citations

Abstract

This study explores the therapeutic potential of Naringenin, a natural flavonoid, in managing Type 2 Diabetes Mellitus (T2DM) by focusing on Glucose Transporter 4 (GLUT4) and related regulatory proteins that play a role in glucose and lipid metabolism. Through bioinformatics analysis, key proteins such as Carnitine palmitoyltransferase I, mitochondrial carnitine/acylcarnitine carrier protein, and PPARγ were identified, highlighting their importance in insulin sensitivity. Molecular docking results indicated that Naringenin has a strong binding affinity for GLUT4 and PPARγ, with binding energies of -8.18 kcal/mol and -8.21 kcal/mol, respectively. This suggests that Naringenin may modulate these proteins to enhance insulin sensitivity. In contrast, its weaker binding with Enhancer-Binding Protein Alpha points to Naringenin's selective efficacy among various targets. Molecular dynamics (MD) simulations conducted over 100 ns confirmed the stability of the GLUT4-Naringenin complex, showing a reduced RMSD of 1.25 nm and a more compact structure with a Radius of Gyration (Rg) value of 2.14 nm. However, Rho-related GTP exhibited increased instability upon Naringenin binding, indicating a potential inhibitory effect. Additionally, an in silico ADMET profile revealed Naringenin's favorable pharmacokinetics, including low hepatotoxicity, no mutagenic effects, and a high maximum tolerated dose, which supports its safety for drug development. In conclusion, Naringenin shows promising potential in enhancing glucose metabolism and insulin sensitivity, positioning it as a viable candidate for future preclinical and clinical studies in T2DM management. Future research should aim to validate these computational findings through experimental methods and investigate possible synergistic effects with existing antidiabetic medications to improve treatment outcomes.

Chemical Physics ImpactVol. 10
Shahrekord University (IR), Shahrekord University of Medical Sciences (IR), Islamic Azad University Medical Branch of Tehran (IR), Department of Fisheries (ZM), Islamic Azad University Pharmaceutical Sciences Branch (IR), University of Mazandaran (IR), University of Guilan (IR)
Good health and well-being
Openalex Percentile: Top 3%
Computational Drug Discovery Methods
6.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.