Ameliorative effect of polydatin and polydatin-loaded chitosan nanoparticles against diabetes-induced pulmonary disorders in rats
Autor: | Adel Abdel-Moneim, Manal Abdul-Hamid, Fatma Mostafa, Hanaa M. Mohamed, Sanaa R. Galaly |
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Rok vydání: | 2021 |
Předmět: |
Science (General)
Chemistry polydatin nanoparticles 02 engineering and technology Chitosan nanoparticles Pharmacology 021001 nanoscience & nanotechnology medicine.disease medicine.disease_cause ultrastructure 01 natural sciences 010305 fluids & plasmas Metformin Q1-390 Diabetes mellitus 0103 physical sciences polydatin histopathology medicine oxidative stress 0210 nano-technology diabetes-induced pulmonary disorders Oxidative stress medicine.drug Pulmonary disorders |
Zdroj: | Journal of Taibah University for Science, Vol 15, Iss 1, Pp 37-49 (2021) |
ISSN: | 1658-3655 |
Popis: | The current study aims to evaluate the ameliorative effect of polydatin-loaded-chitosan nanoparticles (PD-CSNPs), polydatin (PD), and metformin on Diabetes-induced pulmonary disorders. After induction of diabetes, rats are classified into five groups, diabetic control and diabetic rats treated daily for four weeks with; PD, PD-CSNPs, chitosan-nanoparticles and metformin. Rats treated with PD and PD-CSNPs showed a reduction in glycosylated-haemoglobin % and lipid peroxidation level, increased activities of superoxide peroxidase, superoxide dismutase and catalase, and glutathione content in treated diabetic rats lung. Furthermore, PD-CSNPs, PD and MET decreased tumour necrosis factor-alpha and nuclear factor-kappa-β and upregulated nuclear factor erythroid 2-related factor-2 and haem oxygenase-1. Histological and ultrastructural examinations revealed their ameliorative effect via reducing the bronchiolar and alveolar fibrosis, thickening of the interalveolar septum, and inflammatory cell infiltration. In conclusion, PD-CSNPs was more effective than MET and PD in improvement the diabetes-induced pulmonary disorders through its antioxidant, anti-inflammatory, and prolonged-release properties. |
Databáze: | OpenAIRE |
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