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Elhefnawy M, Noor Harun S, Leykhim T, Tangiisuran B, Zainal H, Looi I, Sidek N, Abdul Aziz Z, Maisharah Sheikh Ghadzi S. A Parametric Time-to-Event Modelling of Recurrent Ischemic Stroke After Index Stroke Among Patients With and Without Diabetes Mellitus: Implementation of Temporal Validation of the Model. Cureus 2023; 15:e50794. [PMID: 38239519 PMCID: PMC10796130 DOI: 10.7759/cureus.50794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/19/2023] [Indexed: 01/22/2024] Open
Abstract
Objectives Compared with the first stroke, neurological impairment caused by stroke recurrence is more serious, more difficult to treat, and has a higher mortality rate, especially among ischemic stroke (IS) patients with diabetes mellitus (DM). Although there are established correlations between factors and IS recurrence, there were some issues regarding the naive hazard of IS recurrence with no risk factor influence, and how does the baseline hazard differ among patients with DM and non-DM? To answer all these questions, two time-to-event (TTE) models of recurrent IS after the index IS were developed among IS patients with DM and non-DM. Method A total of 7697 patients with an index IS attack were extracted from the Malaysian Registry of Neurology and stratified according to DM status. Several parametric survival models were evaluated using nonlinear mixed-effect modeling software (NONMEM 7.5). The final model was determined according to the lowest objective function value, graphical evaluation, numerical diagnostics, and clinical plausibility. Additionally, the final model was validated internally and temporally using Kaplan-Meier visual predictive checks (KM-VPCs). Results One hundred ninety-five (5.82%) of 3493 DM patients and 138 (3.28%) of 4204 non-DM patients developed a recurrent IS with a maximum follow-up of 7.37 years. Gompertz's model best fitted the data. With no influence on risk factors, the index IS attack was predicted to contribute to the hazard of recurrent IS by 0.356 and 0.253 within the first six months after the index IS among patients with and without DM, respectively. Even after six months of index IS, the recurrent IS baseline hazard was not equal to zero among both groups (0.0023, 0.0018). Moreover, after incorporating the time and risk factors, the recurrent hazards increased exponentially during the first three years after the index IS followed by an exponential reduction afterward. The recurrent IS predictors among DM patients were ischemic heart disease (IHD) and hyperlipidemia (HPLD). IHD and HPLD increased the hazard of recurrent IS by 2.40 and 1.88 times, respectively, compared to those without IHD and HPLD before index IS (HR, 2.40 (1.79-3.20)), and (HR, 1.88 (1.44-2.45)) respectively. Conclusion The baseline hazard was the highest during the first six months after the index IS. Moreover, receiving medications for secondary prevention failed to demonstrate a significant association with reducing IS recurrence among IS patients with DM, suggesting a need for more intensive patient screening and new strategies for secondary prevention among IS patients with DM.
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Affiliation(s)
- Marwa Elhefnawy
- Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, MYS
| | - Sabariah Noor Harun
- Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, MYS
| | - Teo Leykhim
- Clinical Research Centre, Hospital Pulau Pinang, Penang, MYS
| | - Balamurgan Tangiisuran
- Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, MYS
| | - Hadzliana Zainal
- Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, MYS
| | - Irene Looi
- Neurology Unit, Hospital Seberang Jaya, Penang, MYS
| | - Norsima Sidek
- Clinical Research Centre, Hospital Sultanah Nur Zahirah, Terengganu, MYS
| | - Zariah Abdul Aziz
- Clinical Research Centre, Hospital Sultanah Nur Zahirah, Terengganu, MYS
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Wang D, Zhang D. Safety Issues Associated With the Clinical Application of PCSK9 Inhibitors: Current Findings. Cardiol Rev 2023; 31:155-161. [PMID: 35175957 DOI: 10.1097/crd.0000000000000441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Reduction in low-density lipoprotein cholesterol levels is the cornerstone of treatment and prevention of atherosclerotic cardiovascular diseases. Currently, high-intensity statins are being used as the first-line therapy to lower low-density lipoprotein cholesterol levels, as they improve the prognosis of patients with atherosclerotic cardiovascular disease and those in high-risk groups. However, in some patients, the expected reduction in cholesterol is not achieved despite aggressive treatment with statins. Moreover, some patients cannot tolerate the dosage or show poor response or compliance to statins. Therefore, combination therapies with statins and other medications should be considered. Recently, several clinical trials have shown that the use of proprotein convertase subtilisin/kexin type 9 inhibitors with or without statins and/or other lipid-lowering drugs can significantly reduce low-density lipoprotein cholesterol levels, sometimes to extremely low levels. Therefore, to facilitate appropriate prescription of these new lipid-lowering drugs, we systemically evaluated the safety issues associated with these inhibitors and extremely low low-density lipoprotein cholesterol levels.
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Affiliation(s)
- Dan Wang
- From the Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China
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3
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Sheng G, Liu D, Kuang M, Zhong Y, Zhang S, Zou Y. Utility of Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio in Evaluating Incident Diabetes Risk. Diabetes Metab Syndr Obes 2022; 15:1677-1686. [PMID: 35669362 PMCID: PMC9166911 DOI: 10.2147/dmso.s355980] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 05/25/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Diabetes is one of the most prevalent chronic diseases in the world, and its prevalence is expected to rise further. To help understand the utility of the ratio of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol (NHHR) in diabetes prevention, this large-scale longitudinal cohort study aims to explore the association of NHHR with diabetes risk and compare it as a risk predictor with conventional lipid parameters. PATIENTS AND METHODS This observational study extracted data from the NAGALA longitudinal cohort study conducted in Japan between 2004 and 2015. Multivariate Cox regression analysis was used to evaluate the association between NHHR and the risk of diabetes. The dose-response relationship was analyzed by restricted cubic spline (RCS) regression and the potential risk threshold was estimated. The receiver operator characteristic curve (ROC) was used to analyze and calculate the predictive value and optimal threshold of NHHR and other conventional lipids for new-onset diabetes. RESULTS Of the 15,464 people aged 18-79, 373 (2.41%) were diagnosed with new-onset diabetes during the study period, with a median age of 46 years. The sensitivity analysis based on multivariate adjustment showed that the independent positive correlation between diabetes and NHHR was stable in different populations. RCS and ROC analysis indicated that the association between NHHR and diabetes was non-linear, and the NHHR was a better marker for predicting diabetes risk than other conventional lipid parameters; Additionally, it is worth noting that an NHHR of approximately 2.74 may be the optimal threshold for intervention in diabetes risk. CONCLUSION In the general population, NHHR is a better marker for predicting diabetes risk than conventional lipid parameters, and an NHHR of about 2.74 may be the optimal threshold for assessing diabetes risk.
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Affiliation(s)
- Guotai Sheng
- Cardiology Department, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Provincial, 330006, People’s Republic of China
| | - Dingyang Liu
- Cardiology Department, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Provincial, 330006, People’s Republic of China
| | - Maobin Kuang
- Cardiology Department, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Provincial, 330006, People’s Republic of China
| | - Yanjia Zhong
- Endocrinology Department, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Province, 330006, People’s Republic of China
| | - Shuhua Zhang
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Provincial, People’s Republic of China
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Provincial, People’s Republic of China
- Correspondence: Yang Zou, Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Provincial, People’s Republic of China, Email
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Effects of selenium on coronary artery disease, type 2 diabetes and their risk factors: a Mendelian randomization study. Eur J Clin Nutr 2021; 75:1668-1678. [PMID: 33828238 DOI: 10.1038/s41430-021-00882-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 12/19/2020] [Accepted: 02/12/2021] [Indexed: 01/31/2023]
Abstract
BACKGROUND The impact of selenium on coronary artery disease (CAD) and type 2 diabetes (T2D) remains unclear with inconsistent results from observational studies and randomized controlled trials. We used Mendelian randomization to obtain unconfounded estimates of the effect of selenium on CAD, T2D, lipids and glycemic traits. METHODS We applied genetic variants strongly (P < 5 × 10-8) associated with blood and toenail selenium to publicly available summary statistics from large consortia genome-wide association studies of CAD (76,014 cases and 264,785 non-cases), T2D (74,124 cases and 824,006 controls), lipids and glycemic traits. Variant specific Wald estimates were combined using inverse variance weighting, with several sensitivity analyses. RESULTS Genetically predicted selenium was associated with higher T2D (OR 1.27, 95% CI 1.07-1.50, P = 0.006). There was little evidence of an association with CAD. Genetically predicted selenium was associated with lower low-density lipoprotein (LDL) cholesterol, lower high-density lipoprotein (HDL) cholesterol, higher fasting insulin and higher homeostasis model assessment of insulin resistance. These results were not robust to all sensitivity analyses. No associations with triglycerides, fasting glucose or homeostasis model assessment of β-cell function were evident. CONCLUSIONS Our study suggests selenium may increase the risk of T2D, possibly through insulin resistance rather than pancreatic beta cell function, but may reduce lipids. We found little evidence of an association with CAD, although an inverse association cannot be definitively excluded. The effect of selenium on these outcomes warrants further investigation.
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Bahrami A, Bo S, Jamialahmadi T, Sahebkar A. Effects of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors on ageing: Molecular mechanisms. Ageing Res Rev 2020; 58:101024. [PMID: 32006687 DOI: 10.1016/j.arr.2020.101024] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 12/11/2019] [Accepted: 01/27/2020] [Indexed: 12/15/2022]
Abstract
Human ageing is determined by degenerative alterations and processes with different manifestations such as gradual organ dysfunction, tissue function loss, increased population of aged (senescent) cells, incapability of maintaining homeostasis and reduced repair capacity, which collectively lead to an increased risk of diseases and death. The inhibitors of HMG-CoA reductase (statins) are the most widely used lipid-lowering agents, which can reduce cardiovascular morbidity and mortality. Accumulating evidence has documented several pleiotropic effects of statins in addition to their lipid-lowering properties. Recently, several studies have highlighted that statins may have the potential to delay the ageing process and inhibit the onset of senescence. In this review, we focused on the anti-ageing mechanisms of statin drugs and their effects on cardiovascular and non-cardiovascular diseases.
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Zhang X, Li SY, Jing J, Pan YS, Yan HY, Meng X, Zhao XQ, Liu LP, Wang CX, Wang YL, Wang YJ. Inpatient statin use and stroke recurrence in patients with or without diabetes mellitus. Neurol Res 2019; 41:893-899. [PMID: 31328681 DOI: 10.1080/01616412.2019.1642436] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Objectives: Although statin therapy is associated with lower recurrence in patients with acute ischaemic stroke, data-evaluating associations between inpatient statin use and stroke recurrence in diabetic patients after acute stroke onset are limited. Methods: This study was based on population data from the Chinese National Stroke Registry. Patients with acute ischaemic stroke and no history of statin therapy were selected. Individuals treated regularly with any type or dosage of statins during acute hospitalization were defined as having inpatient statin therapy. The subjects were divided into two groups according to statin use status during acute hospitalization. Multivariate logistic regression analysis was used to analyse the associations between statin use and stroke recurrence in patients with or without diabetes. Results: A total of 11,429 patients, 2341 (20.48%) with diabetes, were selected for analysis. Statin therapy during hospitalization was documented in 4982 (43.59%). Logistic analysis showed no significant associations between inpatient statin use and stroke recurrence in diabetic subjects at 3 months (OR = 0.90, 95% CI = 0.69-1.16, P = 0.40) or 1 year (OR = 0.92, 95% CI = 0.74-1.16, P = 0.48), but statin use was significantly associated with lower recurrence in non-diabetic patients at both 3 months (OR = 0.80, 95% CI = 0.69-0.92, P = 0.002) and 1 year (OR = 0.82, 95% CI = 0.72-0.93, P = 0.002) after discharge. Conclusion: Inpatient statin use was associated with lower stroke recurrence in non-diabetic patients after acute ischaemic stroke, but no definite association between inpatient statin use and stroke recurrence in patients with diabetes mellitus was found.
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Affiliation(s)
- Xing Zhang
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
| | - Shu-Ya Li
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
| | - Jing Jing
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
| | - Yue-Song Pan
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
| | - Hong-Yi Yan
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
| | - Xia Meng
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
| | - Xing-Quan Zhao
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
| | - Li-Ping Liu
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
| | - Chun-Xue Wang
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
| | - Yi-Long Wang
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
| | - Yong-Jun Wang
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University , Beijing , China.,China National Clinical Research Centre for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,Beijing Key laboratory of Translational Medicine for Cerebrovascular Disease, Gurukula Kangri Vishwavidyalaya , Beijing , China.,Center of Stroke, Beijing Institute for Brain Disorders , Beijing , Chin
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Yu Q, Wang F, Meng X, Gong Y, Wang Y, Xu C, Wang S. Short‑term use of atorvastatin affects glucose homeostasis and suppresses the expression of LDL receptors in the pancreas of mice. Mol Med Rep 2018; 18:2780-2788. [PMID: 30015940 PMCID: PMC6102652 DOI: 10.3892/mmr.2018.9239] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 05/03/2018] [Indexed: 01/30/2023] Open
Abstract
Low-density lipoprotein receptors (LDLRs) may serve a role in the diabetogenic effect of statins; however, the effects of statins on LDLR expression and its regulation in the pancreas and islets have yet to be determined. To exclude the long-term effects of treatment with atorvastatin, which allows mice to adapt, male C57BL/j and apolipoprotein E-deficient mice were acutely treated with oral atorvastatin for 6 weeks, and glucose homeostasis and LDLR expression in the pancreas and islets were examined. In the present study, it was observed that the short-term use of atorvastatin affected insulin sensitivity in normal mice and glucose tolerance in hyperlipidemic mice. Furthermore, it was identified that 6 weeks of treatment with atorvastatin suppressed LDLR expression in the pancreas and pancreatic islets in C57BL/j mice, and an increase in proprotein convertase subtilisin/kexin type 9 expression was additionally observed in the pancreas. However, 6 weeks of treatment with atorvastatin did not affect LDLR expression in the pancreas of hyperlipidemic mice. It may be concluded that the short-term use of atorvastatin disturbs glucose homeostasis and suppresses LDLR expression in the pancreas and pancreatic islets in C57BL/j mice, suggesting that the role of LDLR in the diabetogenic effect of statins requires further investigation.
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Affiliation(s)
- Qi Yu
- Institute of Material Medical, School of Pharmacy, The Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Fang Wang
- Shaanxi Key Laboratory of Ischemic Cardiovascular Diseases and Institute of Basic and Translational Medicine, Xi'an Medical University, Xi'an, Shaanxi 710021, P.R. China
| | - Xiaodong Meng
- Shaanxi Key Laboratory of Ischemic Cardiovascular Diseases and Institute of Basic and Translational Medicine, Xi'an Medical University, Xi'an, Shaanxi 710021, P.R. China
| | - Yiren Gong
- Shaanxi Key Laboratory of Ischemic Cardiovascular Diseases and Institute of Basic and Translational Medicine, Xi'an Medical University, Xi'an, Shaanxi 710021, P.R. China
| | - Yanli Wang
- Shaanxi Key Laboratory of Ischemic Cardiovascular Diseases and Institute of Basic and Translational Medicine, Xi'an Medical University, Xi'an, Shaanxi 710021, P.R. China
| | - Cangbao Xu
- Shaanxi Key Laboratory of Ischemic Cardiovascular Diseases and Institute of Basic and Translational Medicine, Xi'an Medical University, Xi'an, Shaanxi 710021, P.R. China
| | - Siwang Wang
- Institute of Material Medical, School of Pharmacy, The Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
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Yu Q, Chen Y, Xu CB. Statins and New-Onset Diabetes Mellitus: LDL Receptor May Provide a Key Link. Front Pharmacol 2017; 8:372. [PMID: 28659805 PMCID: PMC5468445 DOI: 10.3389/fphar.2017.00372] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2016] [Accepted: 05/30/2017] [Indexed: 12/31/2022] Open
Abstract
Numerous studies have noted that populations treated with statins have increased risk for new-onset diabetes mellitus; however, the underlying molecular mechanisms are not fully understood. Interestingly, familial hypercholesterolemia (FH) patients with mutations in the low-density lipoprotein receptor (LDLR) gene are protected against diabetes mellitus (DM), despite these patients being subjected to long-term statin therapy. Since the common pathway between FH and statin therapy is LDLR-mediated cellular cholesterol uptake, the arising question is whether the LDLR plays an important role in the diabetogenic effect of statins. Indeed, given that statins can regulate the LDLR expression in liver and peripheral tissue, there is a possible mechanism that the increased LDLR causes cellular cholesterol accumulation and dysfunction in pancreatic islets, explaining why statins fail to increase the risk of DM in FH patients. In this paper, with regarded to recent literatures, we highlight the role of LDLR in the pathophysiology of cholesterol-induced pancreatic islets dysfunction, which may provide the key link between statins treatment and the increased risk of new-onset diabetes mellitus.
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Affiliation(s)
- Qi Yu
- Institute of Basic and Translational Medicine, Xi'an Medical UniversityXi'an, China.,Shaanxi Key Laboratory of Ischemic Cardiovascular DiseaseXi'an, China.,Institute of Material Medical, School of Pharmacy, The Fourth Military Medical UniversityXi'an, China
| | - Ying Chen
- Institute of Basic and Translational Medicine, Xi'an Medical UniversityXi'an, China.,Department of Information and Communication Engineering, Xi'an Jiaotong UniversityXi'an, China
| | - Cang-Bao Xu
- Institute of Basic and Translational Medicine, Xi'an Medical UniversityXi'an, China.,Shaanxi Key Laboratory of Ischemic Cardiovascular DiseaseXi'an, China
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9
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Alternative Interventions to Prevent Oxidative Damage following Ischemia/Reperfusion. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2016; 2016:7190943. [PMID: 28116037 PMCID: PMC5225393 DOI: 10.1155/2016/7190943] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 09/23/2016] [Accepted: 10/12/2016] [Indexed: 12/25/2022]
Abstract
Ischemia/reperfusion (I/R) lesions are a phenomenon that occurs in multiple pathological states and results in a series of events that end in irreparable damage that severely affects the recovery and health of patients. The principal therapeutic approaches include preconditioning, postconditioning, and remote ischemic preconditioning, which when used separately do not have a great impact on patient mortality or prognosis. Oxidative stress is known to contribute to the damage caused by I/R; however, there are no pharmacological approaches to limit or prevent this. Here, we explain the relationship between I/R and the oxidative stress process and describe some pharmacological options that may target oxidative stress-states.
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Stensrud MJ. [Mendelian randomisation - a genetic approach to an epidemiological method]. TIDSSKRIFT FOR DEN NORSKE LEGEFORENING 2016; 136:1002-5. [PMID: 27325033 DOI: 10.4045/tidsskr.15.1262] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
BACKGROUND Genetic information is becoming more easily available, and rapid progress is being made in developing methods of illuminating issues of interest. Mendelian randomisation makes it possible to study causes of disease using observational data. The name refers to the random distribution of gene variants in meiosis. The methodology makes use of genes that influence a risk factor for a disease, without influencing the disease itself. In this review article I explain the principles behind Mendelian randomisation and present the areas of application for this methodology.MATERIAL AND METHOD Methodology articles describing Mendelian randomisation were reviewed. The articles were found through a search in PubMed with the combination «mendelian randomization» OR «mendelian randomisation», and a search in McMaster Plus with the combination «mendelian randomization». A total of 15 methodology articles were read in full text. Methodology articles were supplemented by clinical studies found in the PubMed search.RESULTS In contrast to traditional observational studies, Mendelian randomisation studies are not affected by two important sources of error: conventional confounding variables and reverse causation. Mendelian randomisation is therefore a promising tool for studying causality. Mendelian randomisation studies have already provided valuable knowledge on the risk factors for a wide range of diseases. It is nevertheless important to be aware of the limitations of the methodology. As a result of the rapid developments in genetics research, Mendelian randomisation will probably be widely used in future years.INTERPRETATION If Mendelian randomisation studies are conducted correctly, they may help to reveal both modifiable and non-modifiable causes of disease.
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Affiliation(s)
- Mats Julius Stensrud
- Avdeling for biostatistikk Oslo Centre for Biostatistics and Epidemiology (OCBE) Universitetet i Oslo
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Chogtu B, Magazine R, Bairy KL. Statin use and risk of diabetes mellitus. World J Diabetes 2015; 6:352-357. [PMID: 25789118 PMCID: PMC4360430 DOI: 10.4239/wjd.v6.i2.352] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Revised: 11/28/2014] [Accepted: 12/19/2014] [Indexed: 02/05/2023] Open
Abstract
The 3-hydroxy-methylglutaryl coenzyme A reductase inhibitors, statins, are widely used in the primary and secondary prevention of cardiovascular diseases to lower serum cholesterol levels. As type 2 diabetes mellitus is accompanied by dyslipidemia, statins have a major role in preventing the long term complications in diabetes and are recommended for diabetics with normal low density lipoprotein levels as well. In 2012, United States Food and Drug Administration released changes to statin safety label to include that statins have been found to increase glycosylated haemoglobin and fasting serum glucose levels. Many studies done on patients with cardiovascular risk factors have shown that statins have diabetogenic potential and the effect varies as per the dosage and type used. The various mechanisms for this effect have been proposed and one of them is downregulation of glucose transporters by the statins. The recommendations by the investigators are that though statins can have diabetogenic risk, they have more long term benefits which can outweigh the risk. In elderly patients and those with metabolic syndrome, as the risk of diabetes increase, the statins should be used cautiously. Other than a subset of population with risk for diabetes; statins still have long term survival benefits in most of the patients.
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Swerdlow DI, Preiss D, Kuchenbaecker KB, Holmes MV, Engmann JEL, Shah T, Sofat R, Stender S, Johnson PCD, Scott RA, Leusink M, Verweij N, Sharp SJ, Guo Y, Giambartolomei C, Chung C, Peasey A, Amuzu A, Li K, Palmen J, Howard P, Cooper JA, Drenos F, Li YR, Lowe G, Gallacher J, Stewart MCW, Tzoulaki I, Buxbaum SG, van der A DL, Forouhi NG, Onland-Moret NC, van der Schouw YT, Schnabel RB, Hubacek JA, Kubinova R, Baceviciene M, Tamosiunas A, Pajak A, Topor-Madry R, Stepaniak U, Malyutina S, Baldassarre D, Sennblad B, Tremoli E, de Faire U, Veglia F, Ford I, Jukema JW, Westendorp RGJ, de Borst GJ, de Jong PA, Algra A, Spiering W, Maitland-van der Zee AH, Klungel OH, de Boer A, Doevendans PA, Eaton CB, Robinson JG, Duggan D, Kjekshus J, Downs JR, Gotto AM, Keech AC, Marchioli R, Tognoni G, Sever PS, Poulter NR, Waters DD, Pedersen TR, Amarenco P, Nakamura H, McMurray JJV, Lewsey JD, Chasman DI, Ridker PM, Maggioni AP, Tavazzi L, Ray KK, Seshasai SRK, Manson JE, Price JF, Whincup PH, Morris RW, Lawlor DA, Smith GD, Ben-Shlomo Y, Schreiner PJ, Fornage M, Siscovick DS, Cushman M, Kumari M, Wareham NJ, Verschuren WMM, Redline S, Patel SR, Whittaker JC, Hamsten A, Delaney JA, Dale C, Gaunt TR, Wong A, Kuh D, Hardy R, Kathiresan S, Castillo BA, van der Harst P, Brunner EJ, Tybjaerg-Hansen A, Marmot MG, Krauss RM, Tsai M, Coresh J, Hoogeveen RC, Psaty BM, Lange LA, Hakonarson H, Dudbridge F, Humphries SE, Talmud PJ, Kivimäki M, Timpson NJ, Langenberg C, Asselbergs FW, Voevoda M, Bobak M, Pikhart H, Wilson JG, Reiner AP, Keating BJ, Hingorani AD, Sattar N. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials. Lancet 2015; 385:351-61. [PMID: 25262344 PMCID: PMC4322187 DOI: 10.1016/s0140-6736(14)61183-1] [Citation(s) in RCA: 465] [Impact Index Per Article: 51.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Statins increase the risk of new-onset type 2 diabetes mellitus. We aimed to assess whether this increase in risk is a consequence of inhibition of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), the intended drug target. METHODS We used single nucleotide polymorphisms in the HMGCR gene, rs17238484 (for the main analysis) and rs12916 (for a subsidiary analysis) as proxies for HMGCR inhibition by statins. We examined associations of these variants with plasma lipid, glucose, and insulin concentrations; bodyweight; waist circumference; and prevalent and incident type 2 diabetes. Study-specific effect estimates per copy of each LDL-lowering allele were pooled by meta-analysis. These findings were compared with a meta-analysis of new-onset type 2 diabetes and bodyweight change data from randomised trials of statin drugs. The effects of statins in each randomised trial were assessed using meta-analysis. FINDINGS Data were available for up to 223 463 individuals from 43 genetic studies. Each additional rs17238484-G allele was associated with a mean 0·06 mmol/L (95% CI 0·05-0·07) lower LDL cholesterol and higher body weight (0·30 kg, 0·18-0·43), waist circumference (0·32 cm, 0·16-0·47), plasma insulin concentration (1·62%, 0·53-2·72), and plasma glucose concentration (0·23%, 0·02-0·44). The rs12916 SNP had similar effects on LDL cholesterol, bodyweight, and waist circumference. The rs17238484-G allele seemed to be associated with higher risk of type 2 diabetes (odds ratio [OR] per allele 1·02, 95% CI 1·00-1·05); the rs12916-T allele association was consistent (1·06, 1·03-1·09). In 129 170 individuals in randomised trials, statins lowered LDL cholesterol by 0·92 mmol/L (95% CI 0·18-1·67) at 1-year of follow-up, increased bodyweight by 0·24 kg (95% CI 0·10-0·38 in all trials; 0·33 kg, 95% CI 0·24-0·42 in placebo or standard care controlled trials and -0·15 kg, 95% CI -0·39 to 0·08 in intensive-dose vs moderate-dose trials) at a mean of 4·2 years (range 1·9-6·7) of follow-up, and increased the odds of new-onset type 2 diabetes (OR 1·12, 95% CI 1·06-1·18 in all trials; 1·11, 95% CI 1·03-1·20 in placebo or standard care controlled trials and 1·12, 95% CI 1·04-1·22 in intensive-dose vs moderate dose trials). INTERPRETATION The increased risk of type 2 diabetes noted with statins is at least partially explained by HMGCR inhibition. FUNDING The funding sources are cited at the end of the paper.
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Affiliation(s)
- Daniel I Swerdlow
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK.
| | - David Preiss
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.
| | - Karoline B Kuchenbaecker
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Department of Surgery, Division of Transplantation, and Clinical Epidemiology Unit, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael V Holmes
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK
| | - Jorgen E L Engmann
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK
| | - Tina Shah
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK
| | - Reecha Sofat
- UCL Department of Medicine, University College London, London, UK
| | - Stefan Stender
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Paul C D Johnson
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Maarten Leusink
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Niek Verweij
- University of Groningen, University Medical Centre Groningen, Department of Cardiology, Groningen, Netherlands
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Yiran Guo
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Christina Chung
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Anne Peasey
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | | | - KaWah Li
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Jutta Palmen
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Philip Howard
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Jackie A Cooper
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Fotios Drenos
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Yun R Li
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Gordon Lowe
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - John Gallacher
- Department of Primary Care and Public Health, Cardiff University Medical School, Cardiff University, Cardiff, UK
| | - Marlene C W Stewart
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | | | - Daphne L van der A
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Renate B Schnabel
- University Heart Center Hamburg, Department of General and Interventional Cardiology, Hamburg, Germany
| | - Jaroslav A Hubacek
- Centre for Experimental Medicine, Institute of Clinical and Experimental Medicine, Prague, Czech Republic
| | | | | | | | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Roman Topor-Madry
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Urszula Stepaniak
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Damiano Baldassarre
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università di Milano, Milan, Italy; Centro Cardiologico Monzino IRCCS Milan, Milan, Italy
| | - Bengt Sennblad
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | - Elena Tremoli
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università di Milano, Milan, Italy; Centro Cardiologico Monzino IRCCS Milan, Milan, Italy
| | - Ulf de Faire
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
| | - Rudi G J Westendorp
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Gert Jan de Borst
- Department of Vascular Surgery, University Medical Center Utrecht, Utrecht, Netherlands
| | - Pim A de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ale Algra
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands; Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands
| | - Wilko Spiering
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, Netherlands
| | - Anke H Maitland-van der Zee
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Olaf H Klungel
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Anthonius de Boer
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Pieter A Doevendans
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands
| | | | | | - David Duggan
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - John Kjekshus
- Department of Cardiology, Oslo University Hospital Rikshospitalet, University of Oslo, Oslo, Norway
| | - John R Downs
- Department of Medicine, University of Texas Health Science Centre, San Antonio, TX, USA; VERDICT, South Texas Veterans Health Care System, San Antonio, TX, USA
| | | | - Anthony C Keech
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia
| | - Roberto Marchioli
- Hematology and Oncology Therapeutic Delivery Unit, Quintiles, Milan, Italy
| | - Gianni Tognoni
- Department of Clinical Pharmacology and Epidemiology, Consorzio Mario NegriSud, Santa Maria Imbaro, Chieti, Italy
| | - Peter S Sever
- International Centre for Circulatory Health, Imperial College London, London, UK
| | - Neil R Poulter
- International Centre for Circulatory Health, Imperial College London, London, UK
| | - David D Waters
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Terje R Pedersen
- Centre for Preventative Medicine, Oslo University Hospital Rikshospitalet, University of Oslo, Oslo, Norway
| | | | | | - John J V McMurray
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - James D Lewsey
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | | | | | | | - Luigi Tavazzi
- Maria Cecilia Hospital, GVM Care and Research, E.S. Health Science Foundation, Cotignola (RA), Italy
| | - Kausik K Ray
- Cardiac and Cell Sciences Research Institute, London, UK
| | | | | | - Jackie F Price
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Richard W Morris
- UCL Department of Primary Care and Population Health, University College London, London, UK
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Yoav Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | | | - Myriam Fornage
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - David S Siscovick
- Cardiovascular Health Research Unit of the Department of Medicine, Department of Epidemiology, and Department of Health Services, University of Washington, Seattle, WA, USA
| | - Mary Cushman
- Departments of Medicine and Pathology, University of Vermont, Colchester, VT, USA
| | - Meena Kumari
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Nick J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | | | - Susan Redline
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | - Anders Hamsten
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Joseph A Delaney
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Caroline Dale
- Department of Non-Communicable Disease Epidemiology, London, UK
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Andrew Wong
- MRCUnit for Lifelong Health and Ageing, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Diana Kuh
- MRCUnit for Lifelong Health and Ageing, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Rebecca Hardy
- MRCUnit for Lifelong Health and Ageing, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Sekar Kathiresan
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Berta A Castillo
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Pim van der Harst
- University of Groningen, University Medical Centre Groningen, Department of Cardiology, Groningen, Netherlands
| | - Eric J Brunner
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Anne Tybjaerg-Hansen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Michael G Marmot
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Ronald M Krauss
- Children's Hospital Oakland Research Institute, Oakland, CA USA
| | | | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ronald C Hoogeveen
- Baylor College of Medicine, Department of Medicine, Division of Atherosclerosis and Vascular Medicine, Houston, TX, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit of the Department of Medicine, Department of Epidemiology, and Department of Health Services, University of Washington, Seattle, WA, USA
| | - Leslie A Lange
- Department of Genetics, University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, NC, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Steve E Humphries
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Philippa J Talmud
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Mika Kivimäki
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Folkert W Asselbergs
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK; Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands; Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, Netherlands
| | - Mikhail Voevoda
- Institute of Internal and Preventive Medicine, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia; Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Martin Bobak
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Hynek Pikhart
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Alex P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Brendan J Keating
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Aroon D Hingorani
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
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Morley JE. Why Have the Complications of Diabetes Mellitus Declined Over the Past 30 Years? J Am Med Dir Assoc 2014; 15:449-453. [DOI: 10.1016/j.jamda.2014.04.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Accepted: 04/29/2014] [Indexed: 12/21/2022]
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Ruscica M, Macchi C, Morlotti B, Sirtori CR, Magni P. Statin therapy and related risk of new-onset type 2 diabetes mellitus. Eur J Intern Med 2014; 25:401-6. [PMID: 24685426 DOI: 10.1016/j.ejim.2014.03.003] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Revised: 03/03/2014] [Accepted: 03/07/2014] [Indexed: 12/30/2022]
Abstract
The use of statins for cardiovascular disease (CVD) prevention is clearly supported by clinical evidence. Although statin therapy is rather well tolerated, recent data from prospective and retrospective clinical trials and related meta-analyses suggest an increased incidence of new-onset type 2 diabetes mellitus (T2DM) in association with such treatment. The incidence of this adverse effect is not negligible, especially for specific subsets of patients, such as women, elderly, presence of familial history of T2DM and Asian ethnicity. Statin-driven T2DM appears to be a medication class-effect, mostly not related to potency nor to individual statin, as well as to be independent of previous history of CVD. Therefore, implementation of strategies for identification of patients using statins and at specific risk of incident T2DM, as well as of different therapeutic options is important and is discussed in this article. As most authors emphasized that benefits of CVD reduction by statin therapy seem to far exceed the risk of T2DM development itself, these medications remain the cornerstone for primary and secondary CVD prevention, although a specific attention to glucose metabolism and metabolic syndrome features should be payed before and during statin treatment, especially in cohorts at greater risk.
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Affiliation(s)
- Massimiliano Ruscica
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Italy; Centro Dislipidemie, Ospedale Niguarda Cà Granda, Milan, Italy
| | - Chiara Macchi
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Italy; Centro Dislipidemie, Ospedale Niguarda Cà Granda, Milan, Italy
| | | | - Cesare R Sirtori
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Italy; Centro Dislipidemie, Ospedale Niguarda Cà Granda, Milan, Italy
| | - Paolo Magni
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Italy; Centro Dislipidemie, Ospedale Niguarda Cà Granda, Milan, Italy.
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Brault M, Ray J, Gomez YH, Mantzoros CS, Daskalopoulou SS. Statin treatment and new-onset diabetes: a review of proposed mechanisms. Metabolism 2014; 63:735-45. [PMID: 24641882 DOI: 10.1016/j.metabol.2014.02.014] [Citation(s) in RCA: 158] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Revised: 02/09/2014] [Accepted: 02/18/2014] [Indexed: 12/13/2022]
Abstract
New-onset diabetes has been observed in clinical trials and meta-analyses involving statin therapy. To explain this association, three major mechanisms have been proposed and discussed in the literature. First, certain statins affect insulin secretion through direct, indirect or combined effects on calcium channels in pancreatic β-cells. Second, reduced translocation of glucose transporter 4 in response to treatment results in hyperglycemia and hyperinsulinemia. Third, statin therapy decreases other important downstream products, such as coenzyme Q10, farnesyl pyrophosphate, geranylgeranyl pyrophosphate, and dolichol; their depletion leads to reduced intracellular signaling. Other possible mechanisms implicated in the effect of statins on new-onset diabetes are: statin interference with intracellular insulin signal transduction pathways via inhibition of necessary phosphorylation events and reduction of small GTPase action; inhibition of adipocyte differentiation leading to decreased peroxisome proliferator activated receptor gamma and CCAAT/enhancer-binding protein which are important pathways for glucose homeostasis; decreased leptin causing inhibition of β-cells proliferation and insulin secretion; and diminished adiponectin levels. Given that the magnitude of the risk of new-onset diabetes following statin use remains to be fully clarified and the well-established beneficial effect of statins in reducing cardiovascular risk, statins remain the first-choice treatment for prevention of CVD. Elucidation of the mechanisms underlying the development of diabetes in association with statin use may help identify novel preventative or therapeutic approaches to this problem and/or help design a new generation statin without such side-effects.
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Affiliation(s)
- Marilyne Brault
- Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Jessica Ray
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec, Canada
| | - Yessica-Haydee Gomez
- Division of Internal Medicine, Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Christos S Mantzoros
- Endocrinology Section, VA Boston Healthcare System and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Stella S Daskalopoulou
- Division of Internal Medicine, Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Division of Experimental Medicine, Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
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Banach M, Serban C, Aronow WS, Rysz J, Dragan S, Lerma EV, Apetrii M, Covic A. Lipid, blood pressure and kidney update 2013. Int Urol Nephrol 2014; 46:947-61. [PMID: 24573394 PMCID: PMC4012155 DOI: 10.1007/s11255-014-0657-6] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2013] [Accepted: 01/28/2014] [Indexed: 12/24/2022]
Abstract
The year 2013 proved to be very exciting as far as landmark trials and new guidelines in the field of lipid disorders, blood pressure and kidney diseases. Among these are the International Atherosclerosis Society Global Recommendations for the Management of Dyslipidemia, European Society of Cardiology (ESC)/European Society of Hypertension Guidelines for the Management of Arterial Hypertension, American Diabetes Association Clinical Practice Recommendations, the Kidney Disease: Improving Global Outcomes Clinical Practice Guidelines for Managing Dyslipidemias in Chronic Kidney Disease (CKD) Patients, the American College of Cardiology/American Heart Association Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults, the Joint National Committee Expert Panel (JNC 8) Evidence-Based Guideline for the Management of High Blood Pressure in Adults, the American Society of Hypertension/International Society of Hypertension Clinical Practice Guidelines for the Management of Hypertension in the Community, the American College of Physicians Clinical Practice Guideline on Screening, Monitoring, and Treatment of Stage 1-3 CKD and many important trials presented among others during the ESC Annual Congress in Amsterdam and the American Society of Nephrology Annual Meeting--Kidney Week in Atlanta, GA. The paper is an attempt to summarize the most important events and reports in the mentioned areas in the passing year.
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Affiliation(s)
- Maciej Banach
- Department of Hypertension, Chair of Nephrology and Hypertension, Medical University of Lodz, Zeromskiego 113, 90-549, Lodz, Poland,
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Muscogiuri G, Sarno G, Gastaldelli A, Savastano S, Ascione A, Colao A, Orio F. The good and bad effects of statins on insulin sensitivity and secretion. Endocr Res 2014; 39:137-43. [PMID: 25208056 DOI: 10.3109/07435800.2014.952018] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
AIMS Statins are the main lipid-lowering treatment in both primary and secondary prevention populations. Whether statins deteriorates glycemic control, predisposing to the onset of diabetes mellitus has been a matter of recent concern. Statins may accelerate progression to diabetes via molecular mechanisms that impact insulin sensitivity and secretion. In this review, we debate the relative effect of statins in driving insulin resistance and the impairment of insulin secretion. METHODS Narrative overview of the literature synthesizing the findings of literature was retrieved from searches of computerized databases, hand searches, and authoritative texts employing the key words "Statins", "Randomized Clinical Trial", "Insulin sensitivity", "Insulin resistance", "Insulin Secretion", "Diabetes Mellitus" alone and/or in combination. RESULTS The weight of clinical evidence suggests a worsening effect of statins on insulin resistance and secretion, anyway basic science studies did not find a clear molecular explanation, providing conflicting evidence regarding both the beneficial and the adverse effects of statin therapy on insulin sensitivity. CONCLUSIONS Although most of the clinical studies suggest a worsening of insulin resistance and secretion, the cardiovascular benefits of statin therapy outweigh the risk of developing insulin resistance, thus the data suggest the need to treat dyslipidemia and to make patients aware of the possible risk of developing type 2 diabetes or, if they already are diabetic, of worsening their metabolic control.
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Affiliation(s)
- Giovanna Muscogiuri
- Department of Clinical Medicine and Surgery, University "Federico II" , Naples , Italy
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Gouni-Berthold I, Berthold HK, Huh JY, Berman R, Spenrath N, Krone W, Mantzoros CS. Effects of lipid-lowering drugs on irisin in human subjects in vivo and in human skeletal muscle cells ex vivo. PLoS One 2013; 8:e72858. [PMID: 24023786 PMCID: PMC3759413 DOI: 10.1371/journal.pone.0072858] [Citation(s) in RCA: 90] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2013] [Accepted: 07/15/2013] [Indexed: 01/12/2023] Open
Abstract
Context and Objective The myokine irisin has been proposed to regulate energy homeostasis. Little is known about its association with metabolic parameters and especially with parameters influencing pathways of lipid metabolism. In the context of a clinical trial, an exploratory post hoc analysis has been performed in healthy subjects to determine whether simvastatin and/or ezetimibe influence serum irisin levels. The direct effects of simvastatin on irisin were also examined in primary human skeletal muscle cells (HSKMCs). Design and Participants A randomized, parallel 3-group study was performed in 72 men with mild hypercholesterolemia and without apparent cardiovascular disease. Each group of 24 subjects received a 14-day treatment with either simvastatin 40 mg, ezetimibe 10 mg, or their combination. Results Baseline irisin concentrations were not significantly correlated with age, BMI, estimated GFR, thyroid parameters, glucose, insulin, lipoproteins, non-cholesterol sterols, adipokines, inflammation markers and various molecular markers of cholesterol metabolism. Circulating irisin increased significantly in simvastatin-treated but not in ezetimibe-treated subjects. The changes were independent of changes in LDL-cholesterol and were not correlated with changes in creatine kinase levels. In HSKMCs, simvastatin significantly increased irisin secretion as well as mRNA expression of its parent peptide hormone FNDC5. Simvastatin significantly induced cellular reactive oxygen species levels along with expression of pro- and anti-oxidative genes such as Nox2, and MnSOD and catalase, respectively. Markers of cellular stress such as atrogin-1 mRNA and Bax protein expression were also induced by simvastatin. Decreased cell viability and increased irisin secretion by simvastatin was reversed by antioxidant mito-TEMPO, implying in part that irisin is secreted as a result of increased mitochondrial oxidative stress and subsequent myocyte damage. Conclusions Simvastatin increases irisin concentrations in vivo and in vitro. It remains to be determined whether this increase is a result of muscle damage or a protective mechanism against simvastatin-induced cellular stress. Trial Registration ClinicalTrials.gov NCT00317993 NCT00317993.
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Affiliation(s)
- Ioanna Gouni-Berthold
- University of Cologne, Center for Endocrinology, Diabetes and Preventive Medicine, Cologne, Germany
- * E-mail:
| | - Heiner K. Berthold
- Charité University Medicine Berlin, Evangelical Geriatrics Center Berlin (EGZB) and Virchow Clinic Campus, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | - Joo Young Huh
- Section of Endocrinology, Boston VA Healthcare System and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Reena Berman
- Section of Endocrinology, Boston VA Healthcare System and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nadine Spenrath
- University of Cologne, Center for Endocrinology, Diabetes and Preventive Medicine, Cologne, Germany
| | - Wilhelm Krone
- University of Cologne, Center for Endocrinology, Diabetes and Preventive Medicine, Cologne, Germany
| | - Christos S. Mantzoros
- Section of Endocrinology, Boston VA Healthcare System and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America
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