Trifolium pratense-Derived Exosome Improved Serum Biochemical Parameters and Pancreatic Genes in STZ-Induced Diabetic Rats
- PMID: 40887321
- PMCID: PMC12399343
- DOI: 10.1002/edm2.70103
Trifolium pratense-Derived Exosome Improved Serum Biochemical Parameters and Pancreatic Genes in STZ-Induced Diabetic Rats
Abstract
Introduction: Plant-derived exosomes (PDEs) are promising nanotherapeutics for improving chronic diseases, such as diabetes mellitus. Trifolium pratense (TP) is a flowering herb with potent antioxidant and antidiabetic properties. The present study aimed to explore the diabetic-healing effects of TP-derived exosomes (TPDEs) in streptozotocin (STZ)-induced diabetic rats.
Methods: TPDEs were isolated using polyethylene glycol precipitation and serial centrifugation and characterised. STZ-induced diabetic rats were treated with TPDE doses (0, 100, 200, and 400 μg/kg) for 28 days. Biochemical factors (fasting blood sugar (FBS), insulin, C-peptide, total antioxidant capacity (TAC), and nitric oxide (NO)) were evaluated in serum samples. Also, the expression of PDX1, insulin, NGN3, and SIRT1 genes in pancreas tissues was assessed using real-time PCR.
Results: TPDE treatment decreased the serum levels of FBS and NO while increasing c-peptide, insulin, and TAC levels. It also significantly enhanced the expression of insulin, PDX1, NGN3, and SIRT1 genes. TPDEs at doses of 100 to 200 μg/kg showed the most significant antidiabetic effects.
Conclusion: TPDEs significantly improved diabetes-induced alterations in serum insulin levels, antioxidant status, and pancreas-related gene expression. It can be considered a novel complementary treatment for diabetes.
Keywords: Trifolium pratense; diabetes; plant‐derived exosomes.
© 2025 The Author(s). Endocrinology, Diabetes & Metabolism published by John Wiley & Sons Ltd.
Conflict of interest statement
The authors declare no conflicts of interest.
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- Omar N., Nazirun N. N., Vijayam B., Wahab A. A., and Bahuri H. A., “Diabetes Subtypes Classification for Personalized Health Care: A Review,” Artificial Intelligence Review 56 (2023): 2697–2721, 10.1007/s10462-022-10202-8. - DOI
-
- Lima J. E., Moreira N. C., and Sakamoto‐Hojo E. T., “Mechanisms Underlying the Pathophysiology of Type 2 Diabetes: From Risk Factors to Oxidative Stress, Metabolic Dysfunction, and Hyperglycemia,” Mutation Research/Genetic Toxicology and Environmental Mutagenesis 874 (2022): 503437, 10.1016/j.mrgentox.2021.503437. - DOI - PubMed
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