Skip to content
Research Article Open access CC BY 4.0

In vitro and Ex vivo Studies of Linagliptin Loaded Non-Ionic Surfactant Vesicles Using Statistical Optimization

Sanjida Binte Nur Nishu, James Regun Karmoker, Fabiha Faizah Ali, Nafisa Nowal Rafa, Ohinul Hoque, Irin Dewan

Journal of Advances in Medical and Pharmaceutical Sciences · pp. 1–16 · Published 8 Oct 2018

10.9734/JAMPS/2018/44198

Abstract

Aim: The aim of this work was to increase the bioavailability of linagliptin, a BCS class-III drug, by improving permeability. For this purpose, linagliptin loaded different non-ionic surfactant vesicles were formulated and evaluated using statistical optimization. Methods: Two independent variables selected were surfactant span 60 (X1), cholesterol (X2) and three dependent variables were evaluated like percent drug entrapment efficiency (Y1), percent drug content (Y2) and percent cumulative drug release (Y3) respectively. Based on the central composite design of user-defined design, nine batches of non-ionic surfactant vesicles (Niosomes) were prepared by thin film hydration method (TFHM) and modified ether injection method (MEIM) each respectively. The relation between the dependent and independent variables was drawn out from the mathematical equation and response surface methodology (RSM). Statistical analysis was performed using ANOVA. Results: Microscopic observation confirmed that all particles were uniform in size and shape. Particle size of non-ionic surfactant vesicles measured by SEM was between 10μm to 100μm that given the evidence of large unilamellar vesicles formed by TFHM. In vitro dissolution studies were carried out in phosphate buffer (pH 7.4) for 8 hours according to the USP paddle method. The maximum and minimum drug releases were observed as 85.5% and 79.65% from non-ionic surfactant vesicles respectively, after 8 hours. Release kinetics was studied in different mathematical release models to find out the linear relationship and release rate of the drug. The FTIR studies have been done to confirm no interaction along with drug and polymer. In this experiment, it is difficult to explain the exact mechanism of drug release. But the drug might be released by fickian diffusion as the correlation coefficient (R2) best fitted with zero order and release exponent (n) was less than 0.43. Conclusion: At last it can be concluded that all in vitro and ex vivo experiments exhibited promising result to treat type II diabetes mellitus with linagliptin loaded non-ionic surfactant vesicles.

Non-ionic surfactant vesicles linagliptin EIM TFHM factorial design

Cited by 8

Architecting novel multilayer nanosponges for co-administration of two drugs managing high-risk type II diabetes mellitus patients suffering from cardiovascular diseases

Reham Waheed Hammad, Rania Abdel-Basset Sanad, Nevine Shawky Abdelmalak · International Journal of Biological Macromolecules · 2022

Radioiodinated acemetacin loaded niosomes as a dual anticancer therapy

Mona A. Shewaiter, Adli A. Selim, Yasser M. Moustafa · International Journal of Pharmaceutics · 2022

Development of Linagliptin Ultra Fine Solid Supersaturated Bio-SNEDDS Using Triangular Mixture Design for Enhancement of Oral Bioavailability: Impact of P-gp Inhibition

Hend Mohammed Mansour, Abd El-Gawad H. Abd El-Gawad, Mariza Fouad Boughdady · Journal of Pharmaceutical Research International · 2023

Niosomal formulation of mefenamic acid for enhanced cancer targeting; preparation, characterization and biodistribution study using radiolabeling technique

Mona A. Shewaiter, Adli A. Selim, Hassan M. Rashed · Journal of Cancer Research and Clinical Oncology · 2023

Optimization of Linagliptin-loaded polymersomes via response surface methodology: A repurposed therapeutic strategy for hepatic encephalopathy prevention

Nabila M. Sweed, Heba T. Elbalkiny, Eslam Magdy · Journal of Drug Delivery Science and Technology · 2025

Water in nigella oil microemulsion for enhanced oral bioavailability of linagliptin

Rania K. Eid, Mona F. Arafa, Gamal M. El Maghraby · Drug Delivery and Translational Research · 2024

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

8

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.