Statins represent the elective lipid-lowering strategy in hyperlipidemic and high cardiovascular-risk patients. Despite excellent safety and tolerability, reversible muscle-related and dose-dependent adverse events may decrease a patient’s compliance. Large meta-analyses, posthoc and genetic studies showed that statins might increase the risk of new-onset diabetes (NOD), particularly in insulin-resistant, obese, old patients. Race, gender, concomitant medication, dose and treatment duration may also contribute to this effect. Based on this evidence, to warn against the possibility of statin-induced NOD or worsening glycemic control in patients with already established diabetes, FDA and EMA changed the labels of all the available statins in the USA and Europe. Recent meta-analyses and retrospective studies demonstrated that statins’ diabetogenicity is a dose-related class effect, but the mechanism(s) is not understood. Among statins, only pravastatin and pitavastatin do not deteriorate glycemic parameters in patients with and without type 2 diabetes mellitus. Interestingly, available data, obtained in smallscale, retrospective or single-center clinical studies, document that pitavastatin, while ameliorating lipid profile, seems protective against NOD. Beyond differences in pharmacokinetics between pitavastatin and the other statins (higher oral bioavailability, lower hepatic uptake), its consistent increases in plasma adiponectin documented in clinical studies may be causally connected with its effect on glucose metabolism. Adiponectin is a protein with antiatherosclerotic, anti-inflammatory and antidiabetogenic properties exerted on liver, skeletal muscle, adipose tissue and pancreatic beta cells. Further studies are required to confirm this unique property of pitavastatin and to understand the mechanism(s) leading to this effect.
Could changes in adiponectin drive the effect of statins on the risk of new-onset diabetes? The case of pitavastatin / L. Arnaboldi, A. Corsini. - In: ATHEROSCLEROSIS SUPPLEMENTS. - ISSN 1567-5688. - 161(2015 Jan), pp. 1-27. [10.1016/S1567-5688(14)70002-9]
Could changes in adiponectin drive the effect of statins on the risk of new-onset diabetes? The case of pitavastatin
L. ArnaboldiPrimo
;A. CorsiniUltimo
2015
Abstract
Statins represent the elective lipid-lowering strategy in hyperlipidemic and high cardiovascular-risk patients. Despite excellent safety and tolerability, reversible muscle-related and dose-dependent adverse events may decrease a patient’s compliance. Large meta-analyses, posthoc and genetic studies showed that statins might increase the risk of new-onset diabetes (NOD), particularly in insulin-resistant, obese, old patients. Race, gender, concomitant medication, dose and treatment duration may also contribute to this effect. Based on this evidence, to warn against the possibility of statin-induced NOD or worsening glycemic control in patients with already established diabetes, FDA and EMA changed the labels of all the available statins in the USA and Europe. Recent meta-analyses and retrospective studies demonstrated that statins’ diabetogenicity is a dose-related class effect, but the mechanism(s) is not understood. Among statins, only pravastatin and pitavastatin do not deteriorate glycemic parameters in patients with and without type 2 diabetes mellitus. Interestingly, available data, obtained in smallscale, retrospective or single-center clinical studies, document that pitavastatin, while ameliorating lipid profile, seems protective against NOD. Beyond differences in pharmacokinetics between pitavastatin and the other statins (higher oral bioavailability, lower hepatic uptake), its consistent increases in plasma adiponectin documented in clinical studies may be causally connected with its effect on glucose metabolism. Adiponectin is a protein with antiatherosclerotic, anti-inflammatory and antidiabetogenic properties exerted on liver, skeletal muscle, adipose tissue and pancreatic beta cells. Further studies are required to confirm this unique property of pitavastatin and to understand the mechanism(s) leading to this effect.File | Dimensione | Formato | |
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