Contribution of molecular-modified biomimetic mesoporous silica xerogel in delivering nimesulide with superior anti-inflammatory efficacy

High efficiency of anti-inflammatories for anti-inflammatory drugs has enormous room for improvement, aiming to reduce side effects. Herein, molecular-modified biomimetic mesoporous silica xerogel was applied to establish a superior carrier for delivering nimesulide (NMS). Small molecules of chiral threonine and chiral malic acid, as well as a polymer of hydroxypropyl methylcellulose K250 (HPMC), were used to respectively obtain LT-MSX, DT-MSX, LM-MSX, DM-MSX, BMSX, L-BMSX, M-BMSX, and H-BMSX. Morphology and porous structure of the obtained carriers were analyzed, and properties of NMS-loaded carriers were studied by focusing on drug crystal form and molecule interactions. In vitro carrier degradation and drug release, as well as in vivo anti-inflammatory effects of drug-loaded carriers, were evaluated. The results demonstrated that the addition of molecules significantly impacted the porous properties of carriers. In addition, all these carriers improved drug release by converting the drug crystal form to an amorphous state. The swelling inhibition rate of NMS-loaded LT-MSX and NMS-loaded DT-MSX was the best, owing to their fast drug release and silica degradation, which can be of great value for the application of anti-inflammatory drugs.

Authors

Institutions

Publication Details

Journal
Journal of Materials Science Materials in Medicine
Published
2025-11-03
DOI
https://doi.org/10.1007/s10856-025-06952-w
Primary Topic
Mesoporous Materials and Catalysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Contribution of molecular-modified biomimetic mesoporous silica xerogel in delivering nimesulide with superior anti-inflammatory efficacy

Jing Li, Nan Yan, Yang Liu
Journal of Materials Science Materials in Medicine
Mesoporous Materials and Catalysis
article

Contribution of molecular-modified biomimetic mesoporous silica xerogel in delivering nimesulide with superior anti-inflammatory efficacy

Jing Li, Nan Yan, Yang Liu
article en

Abstract

High efficiency of anti-inflammatories for anti-inflammatory drugs has enormous room for improvement, aiming to reduce side effects. Herein, molecular-modified biomimetic mesoporous silica xerogel was applied to establish a superior carrier for delivering nimesulide (NMS). Small molecules of chiral threonine and chiral malic acid, as well as a polymer of hydroxypropyl methylcellulose K250 (HPMC), were used to respectively obtain LT-MSX, DT-MSX, LM-MSX, DM-MSX, BMSX, L-BMSX, M-BMSX, and H-BMSX. Morphology and porous structure of the obtained carriers were analyzed, and properties of NMS-loaded carriers were studied by focusing on drug crystal form and molecule interactions. In vitro carrier degradation and drug release, as well as in vivo anti-inflammatory effects of drug-loaded carriers, were evaluated. The results demonstrated that the addition of molecules significantly impacted the porous properties of carriers. In addition, all these carriers improved drug release by converting the drug crystal form to an amorphous state. The swelling inhibition rate of NMS-loaded LT-MSX and NMS-loaded DT-MSX was the best, owing to their fast drug release and silica degradation, which can be of great value for the application of anti-inflammatory drugs.

Journal of Materials Science Materials in MedicineVol. 36(1)
Shenyang Medical College (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 74%
Mesoporous Materials and Catalysis
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.