JOURNAL ARTICLE
Towards oral insulin-controlled release nanomedicine: A review.
Published In: Journal of Biomaterials Applications, 2026, v. 40, n. 8. P. 929 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kannaghut Puthukudi, Ayana; Kamalasanan, Kaladhar; Prabhakaran Ganga, Prajitha; Sapa, Harika; Sara Shaji, Shona; Thrivikraman, Sreejith; Umar, Althaf; Ann, Sherin; Sadasivan, Shine; VP, Praveen; Narayan Chandra, Mishra; Harb, Hani; Jeengar, Manish Kumar 3 of 3
Abstract
This article focuses on the development and challenges of oral insulin delivery using controlled-release nanomedicine (CRNM) as a non-invasive alternative to subcutaneous injections for diabetes mellitus management. It reviews various nanocarrier systems—including polymeric nanoparticles, lipid-based carriers, hydrogels, and inorganic nanoparticles—that protect insulin from enzymatic degradation, enhance intestinal absorption, and mimic physiological insulin release patterns. Advanced strategies such as glucose-responsive formulations, cell-penetrating peptides, and innovative devices like the self-orienting millimeter-scale applicator (SOMA) and luminal unfolding microneedle injector (LUMI) are discussed for improving bioavailability and patient compliance. Despite promising preclinical results and some clinical trials, translation to widespread clinical use remains limited due to challenges in stability, large-scale manufacturing, and cost-effectiveness. The article emphasizes that overcoming biological barriers and combining nanomedicine with targeted delivery pathways are critical for achieving affordable and accessible oral insulin therapies.
Additional Information
- Source:Journal of Biomaterials Applications. 2026/03, Vol. 40, Issue 8, p929
- Document Type:Abstract
- Subject Area:Health and Medicine
- Publication Date:2026
- ISSN:0885-3282
- DOI:10.1177/08853282251383026
- Accession Number:191375744
- Copyright Statement:Copyright of Journal of Biomaterials Applications 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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