Isolation and Characterization of an Insulin‐Like Protein From Moringa Oleifera and Estimation of Its Antidiabetic Potential

Abstract Moringa oleifera is used all over the world as an herbal cure for a myriad of diseases. The current research focuses on the extraction of proteins from Moringa oleifera leaves, estimating their total protein content, detecting an insulin‐like protein, and evaluating its hypoglycemic effect. With the help of a Tris‐HCl buffer solution, the leaf protein extract is obtained through solvent extraction, which is subjected afterward to filtration, centrifugation, and dialysis to provide the purified supernatant and pellet. A total protein content of 8.0 ± 0.25 g/dL in both fractions is revealed by the serum albumin assay. A visible precipitation with ZnCl 2 confirms the presence of an insulin‐like protein. Alpha‐amylase and alpha‐glucosidase enzyme assays are performed to test their hypoglycemic properties. Notably, the protein extract displays strong inhibition against α ‐amylase, having percentage inhibition values of 75.48 and 82.93% and relevant IC 50 values of 0.6 and 17.6 µM for supernatant and pellet, respectively. However, α ‐glucosidase inhibition is modest, with 11.1 and 14.1% for supernatant and pellet, respectively. These findings suggest that the insulin‐like protein within the Moringa oleifera leaf protein extract can contribute to its hypoglycemic effect. This study paves the way for further exploration of this protein's potential, possibly leading to novel drug development for managing diabetes mellitus.

Authors

Institutions

Publication Details

Journal
ChemistrySelect
Published
2025-02-01
DOI
https://doi.org/10.1002/slct.202401991
Primary Topic
Moringa oleifera research and applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Isolation and Characterization of an Insulin‐Like Protein From Moringa Oleifera and Estimation of Its Antidiabetic Potential

Imtiaz Khan, Sumera Zaib, K. K. Mujeeb Rahman, Fadi Jaber et al.
ChemistrySelect
Moringa oleifera research and applications
article

Isolation and Characterization of an Insulin‐Like Protein From Moringa Oleifera and Estimation of Its Antidiabetic Potential

Imtiaz Khan, Sumera Zaib, K. K. Mujeeb Rahman, Fadi Jaber, Ayed A. Dera, Rasheeda Fatima, Laiba Babar, Nawal Naseer, Danial Nadeem
article en

Abstract

Abstract Moringa oleifera is used all over the world as an herbal cure for a myriad of diseases. The current research focuses on the extraction of proteins from Moringa oleifera leaves, estimating their total protein content, detecting an insulin‐like protein, and evaluating its hypoglycemic effect. With the help of a Tris‐HCl buffer solution, the leaf protein extract is obtained through solvent extraction, which is subjected afterward to filtration, centrifugation, and dialysis to provide the purified supernatant and pellet. A total protein content of 8.0 ± 0.25 g/dL in both fractions is revealed by the serum albumin assay. A visible precipitation with ZnCl 2 confirms the presence of an insulin‐like protein. Alpha‐amylase and alpha‐glucosidase enzyme assays are performed to test their hypoglycemic properties. Notably, the protein extract displays strong inhibition against α ‐amylase, having percentage inhibition values of 75.48 and 82.93% and relevant IC 50 values of 0.6 and 17.6 µM for supernatant and pellet, respectively. However, α ‐glucosidase inhibition is modest, with 11.1 and 14.1% for supernatant and pellet, respectively. These findings suggest that the insulin‐like protein within the Moringa oleifera leaf protein extract can contribute to its hypoglycemic effect. This study paves the way for further exploration of this protein's potential, possibly leading to novel drug development for managing diabetes mellitus.

ChemistrySelectVol. 10(6)
Ajman University (AE), University of Central Punjab (PK), University of Manchester (GB), King Khalid University (SA)
King Khalid University, Ajman University
Openalex Percentile: Top 98%
Moringa oleifera research and applications
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.