Systematic review of peptide nanoparticles for improved diabetes outcomes: insights and opportunities

This present study carried out a systematic review and meta-analysis of peptide nanoparticles in diabetes management for improved patient outcomes from 2014 to 2024. Different electronic databases, including PubMed, Scopus, Web of Science, ResearchGate, Google Scholar, and the Cochrane Library, were...

Full description

Saved in:
Bibliographic Details
Published inDiscover nano Vol. 20; no. 1; p. 41
Main Authors Dangana, Reuben Samson, Okon, Michael Ben, Orire, Ikuomola Emmanuel, Sanusi, Idris Olatunji, Terkimbi, Swase Dominic, Aja, Patrick Maduabuchi, Abubakar, Ibrahim Babangida, Anyim, Godwin
Format Journal Article
LanguageEnglish
Published New York Springer US 17.02.2025
Springer Nature B.V
Springer
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:This present study carried out a systematic review and meta-analysis of peptide nanoparticles in diabetes management for improved patient outcomes from 2014 to 2024. Different electronic databases, including PubMed, Scopus, Web of Science, ResearchGate, Google Scholar, and the Cochrane Library, were searched for relevant literature using Medical Subject Headings (MeSH) and boolean operators. A total of 317 articles were obtained and include PUBMED (39), Scopus (215), ResearchGate (30), Google Scholar (25), and Cochrane Library (8). From these, 186 duplicate entries were eliminated, while 76 articles were dismissed for some reasons. After scanning the titles, abstracts, and contents of the remaining 55 articles for relevance, 22 articles were eliminated. After a full-text screening using inclusion/exclusion criteria, an additional 11 articles were discarded, while 4 were excluded during the data extraction phase. In the end, seven (7) publications were considered relevant based on the eligibility criteria, representing 2.22%. Results showed that sequential exclusion of the studies did not have a significant impact on the effects of peptide nanoparticles on glucose control, insulin delivery, bioavailability, efficacy, safety, and patient outcomes in diabetes management. Also, peptide nanoparticles had positive improvement on glycemic control, insulin levels, glycated hemoglobin (HbA1C) levels, and overall patient outcomes. The study concludes that peptide nanoparticles harbour the potential to improve diabetes management through enhanced glucose control, insulin delivery, and patient outcomes. However, there is a significant gap in knowledge. Further research is required to understand the long-term safety and efficacy of many of the enlisted nanoparticles. Additionally, future studies should explore a wider range of peptides and proteins for encapsulation, develop delivery systems for larger and conformationally diverse molecules, and improve the oral bioavailability of encapsulated therapeutics. Long-term clinical trials are needed to validate this approach in humans and elucidate the underlying mechanisms for optimal treatment design. If these knowledge gaps are addressed, peptide nanoparticles will unavoidably become a powerful tool for effective management of diabetes along with traditional methods. Highlights The study performed a systematic review and meta-analysis on the use of peptide nanoparticles in diabetes management for the past decade, from 2014 to 2024. The study adopted PRISMA guidelines and PICOS framework in addressing the research questions. The results showed that the use of peptide nanoparticles was associated with improved glycemic control, insulin levels, reduced HbA1C, and overall patient outcomes in diabetes management. The study identified various types of peptide nanoparticles, including silica-based, polymeric, liposomes, dendrimers, inorganic, and carbon-based nanomaterials, that have been used for diabetes management. The study highlights the need for further research to fully understand the long-term effects, safety, and optimal dosage of peptide nanoparticles for diabetes management.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ISSN:1931-7573
2731-9229
2731-9229
1556-276X
DOI:10.1186/s11671-025-04215-9