Microrheology of Ionic Liquid Doped Mucus for an Efficient Delivery of Protein‐Based Oral Drugs

Developing protein-based drugs for oral administration is one of the most challenging aspects of research due to their low stability and inability to permeate through intestinal mucus barrier. Recent studies suggest that the ionic liquids (ILs) can combine with protein-based drugs to improve stability and mucus-penetration capabilities. However, the interactions among protein-based drugs, ILs, and mucin are rather unknown, which can play a pivotal role in such drug delivery. The present work unveils the molecular mechanisms of the delivery of protein-based drugs, with the help of microrheology experiments and density functional theory (DFT) simulations. The study employs a model mesoscale drug delivery system composed of an IL, mucin, and bovine serum albumin (BSA) as a model drug. In particular, following the microrheological changes of such drug formulations helps in tracing the molecular interactions such as electrostatic, van der Waals, steric, and hydrogen bonds, at the various stages of BSA, mucin, and IL assemblage. The results are corroborated by the morphological studies using atomic force microscopy supplemented by microrheological studies using diffusing-wave-spectroscopy. A human intestine has also been simulated as a biomimetic in-vitro prototype to demonstrate stability and penetration of BSA through mucin in the presence of IL.

Authors

Institutions

Publication Details

Journal
Small
Published
2025-03-04
DOI
https://doi.org/10.1002/smll.202500403
Citations
4
Primary Topic
Advanced Drug Delivery Systems
Type
article
Field-Weighted Citation Impact
3.16

Funders

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

Microrheology of Ionic Liquid Doped Mucus for an Efficient Delivery of Protein‐Based Oral Drugs

Tamal Banerjee, Nayanjyoti Kakati, Jiwajyoti Mahanta, Dipankar Bandyopadhyay et al.
4 citations
Small
Advanced Drug Delivery Systems
3.16
article

Microrheology of Ionic Liquid Doped Mucus for an Efficient Delivery of Protein‐Based Oral Drugs

Tamal Banerjee, Nayanjyoti Kakati, Jiwajyoti Mahanta, Dipankar Bandyopadhyay, Nabendu Paul, Saurabh Dubey, A. Maha Lakshmi
article en
4 citations

Abstract

Developing protein-based drugs for oral administration is one of the most challenging aspects of research due to their low stability and inability to permeate through intestinal mucus barrier. Recent studies suggest that the ionic liquids (ILs) can combine with protein-based drugs to improve stability and mucus-penetration capabilities. However, the interactions among protein-based drugs, ILs, and mucin are rather unknown, which can play a pivotal role in such drug delivery. The present work unveils the molecular mechanisms of the delivery of protein-based drugs, with the help of microrheology experiments and density functional theory (DFT) simulations. The study employs a model mesoscale drug delivery system composed of an IL, mucin, and bovine serum albumin (BSA) as a model drug. In particular, following the microrheological changes of such drug formulations helps in tracing the molecular interactions such as electrostatic, van der Waals, steric, and hydrogen bonds, at the various stages of BSA, mucin, and IL assemblage. The results are corroborated by the morphological studies using atomic force microscopy supplemented by microrheological studies using diffusing-wave-spectroscopy. A human intestine has also been simulated as a biomimetic in-vitro prototype to demonstrate stability and penetration of BSA through mucin in the presence of IL.

SmallVol. 21(14)
Indian Institute of Technology Guwahati (IN), Maulana Azad National Institute of Technology (IN)
Indian Council of Medical Research, Ministry of Electronics and Information technology
Openalex Percentile: Top 9%
Advanced Drug Delivery Systems
3.16
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.