Introduction: Angiotensin-converting enzyme (ACE) inhibitors have been shown to improve endothelial function in Type 1 diabetes. However, the potential of ACE inhibitors (ACE-I) to enhance the haemodynamic effects of L-arginine (L-arg), the precursor of nitric oxide (NO), has not been evaluated. Furthermore, angiotensin receptor blockers (ARBs), another group of inhibitors of the renin-angiotensin system (RAS), have not been studied in this context.
Methods: Using a randomised, crossover design, the acute effects of L-arg (200 mg/kg) on blood pressure (BP) and renal haemodynamics were determined in uncomplicated Type 1 diabetic patients before and after three weeks of treatment with the ACE-I ramipril (5 mg/day) or the ARB losartan (50 mg/day).
Results: L-arg alone did not influence BP or renal haemodynamics. BP responses to L-arg were not modulated by ACE-I or ARB. In contrast to the systemic responses, L-arg induced significant renal vasodilation after treatment with ramipril (p<0.05). Unlike ramipril, losartan did not modulate renal haemodynamic responses to L-arg. L-arg administration was paralleled by increments in plasma L-citrulline levels, determined as a measure of L-arg-induced systemic NO production. These responses were not influenced by RAS inhibitors. No changes in other indicators of the systemic and renal NO production, such as plasma and urinary nitrates/nitrites, were detected in response to L-arg alone or after treatment with RAS inhibitors.
Conclusions: ACE-Is have greater potential than ARBs to enhance L-arg effects in the kidney in uncomplicated Type 1 diabetes. Neither RAS inhibitor influenced the systemic effects of L-arg. The lack of changes in renal NO indicators parallelling the haemodynamic responses, suggests that the effects of ACE-I on L-arg-induced renal haemodynamic changes could be also attributable to NO-independent mechanisms.
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http://dx.doi.org/10.3317/jraas.2004.006 | DOI Listing |
Ann Intern Med
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Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California (A.B., K.J.C., A.A.K.).
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PLoS One
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Department of Laboratory Medicine, People's Hospital of Shenzhen Baoan District, Shenzhen, P. R. China.
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PLoS One
January 2025
Institute of Visual Informatics, The National University of Malaysia (UKM), Bangi, Malaysia.
Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enable adaptive insulin dosing control, they face numerous challenges, including safety and training efficiency, which have hindered their clinical application. This paper proposes a safe and efficient adaptive insulin delivery controller based on DRL.
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State Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
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Nanjing University, School of Chemistry and Chemical Engineering, CHINA.
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