JOURNAL ARTICLE
Integrated network pharmacology and bio-functional chitosan-hydroxyapatite scaffolds incorporating quercetin for enhanced bone regeneration in articular cartilage defects.
Published In: Journal of Bioactive & Compatible Polymers, 2025, v. 40, n. 3. P. 248 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Panbhukarasu, Suvetha; Vijayalekha, Ashwathi; Natarajan, Kaviya; Anandasadagopan, Suresh Kumar; Pandurangan, Ashok kumar 3 of 3
Abstract
This article focuses on the development and evaluation of a novel chitosan-hydroxyapatite-quercetin (CHT/HAP/QT) scaffold for bone tissue engineering aimed at treating articular cartilage defects. The scaffold combines chitosan, a biocompatible and biodegradable polymer; hydroxyapatite, an osteoconductive mineral mimicking bone extracellular matrix; and quercetin, a natural flavonoid with anti-inflammatory and osteogenic properties. Network pharmacology and molecular docking analyses demonstrated quercetin's potential to modulate inflammation and promote osteogenesis, while zebrafish embryo toxicity tests confirmed the biocompatibility of the scaffold components. Physicochemical characterizations revealed that the scaffold possesses suitable porosity, swelling capacity, biodegradability, and mechanical stability, particularly at 15% quercetin concentration, supporting its potential as an effective and minimally invasive treatment for articular cartilage regeneration.
Additional Information
- Source:Journal of Bioactive & Compatible Polymers. 2025/05, Vol. 40, Issue 3, p248
- Document Type:Article
- Subject Area:Anatomy and Physiology
- Publication Date:2025
- ISSN:0883-9115
- DOI:10.1177/08839115251318682
- Accession Number:185002000
- Copyright Statement:Copyright of Journal of Bioactive & Compatible Polymers is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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