Literature DB >> 25015438

Effect of renin inhibition on adipokines in diabetic rats.

Amal Hassanin1, Hala Abdel Malek1.   

Abstract

Insulin resistance predicts development of type 2 diabetes mellitus (DM). Adipocytes release tumor Necrosis factor-alpha (TNF-α), and adiponectin. They modulate whole-body insulin sensitivity . The disturbance in the relationship between good and bad adipokines may cause insulin resistance. The renin-angiotensin aldosteron system (RAAS) plays a role in DM and the consequence of cardiovascular complications development. It is considered as a target for therapy. The present objective examined the relationship between renin angiotensin system and DM. There were, Group (1): Normal non obese rats, Group (2): Obese diabetic rats, Group (3): Obese diabetic rats with telmisartan, Group (4): Obese diabetic rats with enalapril, Group (5): Obese diabetic rats with aliskiren. There was a significant increase in serum glucose, lipid profile [triglycerides (TGs), low-density lipoprotein cholesterol (LDL), total serum cholesterol (TC)], tumor Necrosis factor-alpha (TNF-α), malondialdehyde (MDA) and a significant decrease in adiponectin associated with minor changes in superoxide dismutase (SOD) activity in the obese diabetic rats. Administration of telmisartan, enalapril and or aliskiren caused a significant improvement in serum lipid profile and adiponectin, a minor improvement in SOD activity, a decrease in TNF-α and or MDA. Renin angiotensin blockers significantly improve the metabolism and oxidative dysfunctions in Type 2 DM and aliskiren may show a promising powerful therapy.

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Year:  2014        PMID: 25015438

Source DB:  PubMed          Journal:  Pak J Pharm Sci        ISSN: 1011-601X            Impact factor:   0.684


  2 in total

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Authors:  Avinash Arivazhahan; Laxminarayana Kurady Bairy; Veena Nayak; Sushil Kiran Kunder
Journal:  J Clin Diagn Res       Date:  2017-02-01

2.  Comparing six antihypertensive medication classes for preventing new-onset diabetes mellitus among hypertensive patients: a network meta-analysis.

Authors:  Yang Yang; Huilan Xu
Journal:  J Cell Mol Med       Date:  2017-02-23       Impact factor: 5.310

  2 in total

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