Biotechnology

Volume 23 (1), 1-8, 2024


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Targeting the GLP-1 Receptor in Diabetes Therapy: Insights from a Genetic Perspective

Enas Taha Tolba and Hanan Ahmed Amer

Background and Objective: This study aims to elucidate the genetic underpinnings of GLP-1 receptors, which are pivotal in glucose metabolism regulation. By exploring the evolutionary conservation and structural domains of GLP-1 receptors, the research seeks to underscore their therapeutic potential in diabetes management. Materials and Methods: Employing protein sequence alignments and phylogenetic tree analysis, the study investigates the evolutionary trajectory and structural intricacies of GLP-1 receptors across different species and tissues. The experimental design focuses on the comparative genomic approach, while statistical analysis is applied to assess the significance of the findings in the context of diabetes therapy. Results: The study revealed a high degree of evolutionary conservation of GLP-1 receptors, highlighting their vital role across species. The structural analysis of GLP-1 receptor domains further clarifies their importance in mediating glucose metabolism. Most notably, the research identifies specific characteristics of GLP-1 receptors that could enhance the efficacy of GLP-1 receptor agonists in diabetes treatment, presenting a compelling case for these receptors as viable therapeutic targets. Conclusion: The comprehensive genetic analysis of GLP-1 receptors presented in this study reinforces the concept of utilizing GLP-1 receptor agonists in diabetes therapy. The findings provide valuable genetic insights that could significantly inform and improve the development of targeted diabetes treatments, advocating for a genetic perspective in the ongoing quest for effective diabetes management solutions.

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How to cite this article:

Enas Taha Tolba and Hanan Ahmed Amer, 2024. Targeting the GLP-1 Receptor in Diabetes Therapy: Insights from a Genetic Perspective. Biotechnology, 23: 1-8.


DOI: 10.3923/biotech.2024.1.8
URL: https://ansinet.com/abstract.php?doi=biotech.2024.1.8

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