Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Pharmaceutical And Biomedical Sciences Journal (PBSJ)
Erizal Zaini
Department of Pharmaceutic, Faculty of Pharmacy, Universitas Andalas, Padang, West Sumatera, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Health Professions Medicine & Pharmacology Public Health

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Comparative Anti-Inflammatory Effect of Aceclofenac-Saccharin in Mice Granuloma Model Hendrizal Usman; Yufri Aldi; Salman Umar; Rahmadevi; Erizal Zaini
Pharmaceutical and Biomedical Sciences Journal (PBSJ) Vol. 7 No. 1 (2025)
Publisher : Pharmacy Department, Faculty of Health Sciences, UIN Syarif Hidayatullah Jakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/pbsj.v7i1.49145

Abstract

Aceclofenac is a non-steroidal anti-inflammatory drug (NSAID) that inhibits cyclooxygenase (COX) and suppresses prostaglandin synthesis. Its clinical utility, however, is limited by poor aqueous solubility and low bioavailability. This study evaluates the anti-inflammatory activity of a multicomponent crystal (MC) of aceclofenac with saccharin using a carrageenan-induced granuloma pouch model in mice. Male mice were divided into three groups (n = 3 per group): control, aceclofenac, and aceclofenac-saccharin multicomponent crystal, administered intraperitoneally. Inflammatory response was assessed via exudate volume and TNF-α levels. Both aceclofenac and MC significantly reduced exudate volume and TNF-α compared to the control (p < 0.05), with the MC group showing the greatest reduction. Although not statistically different from aceclofenac in TNF-α suppression, the MC demonstrated superior performance overall. The enhanced efficacy may be attributed to improved solubility and drug delivery. These outcomes support co-crystallization as a promising approach to optimize NSAID therapy.
Co-Authors Hendrizal Usman Rahmadevi Salman Umar Yufri Aldi