Consensus on the Statin of Choice in Patients with Impaired Glucose Metabolism: Results of the DIANA Study

Statin-Induced Geranylgeranyl Pyrophosphate Depletion Promotes Ferroptosis-Related Senescence in Adipose Tissue

Statin treatment is accepted to prevent adverse cardiovascular events. However, atorvastatin, an HMG-CoA reductase inhibitor, has been reported to exhibit distinct effects on senescent phenotypes. Whether atorvastatin can induce adipose tissue senescence and the mechanisms involved are unknown. The effects of atorvastatin-induced senescence were examined in mouse adipose tissue explants. Here, we showed that statin initiated higher levels of mRNA related to cellular senescence markers and senescence-associated secretory phenotype (SASP), as well as increased accumulation of the senescence-associated β-galactosidase (SA-β-gal) stain in adipose tissues. Furthermore, we found that the levels of reactive oxygen species (ROS), malondialdehyde (MDA), and Fe²⁺ were elevated in adipose tissues treated with atorvastatin, accompanied by a decrease in the expression of glutathione (GSH), and glutathione peroxidase 4 (GPX4), indicating an iron-dependent ferroptosis. Atorvastatin-induced was prevented by a selective ferroptosis inhibitor (Fer-1). Moreover, supplementation with geranylgeranyl pyrophosphate (GGPP), a metabolic intermediate, reversed atorvastatin-induced senescence, SASP, and lipid peroxidation in adipose tissue explants. Atorvastatin depleted GGPP production, but not Fer-1. Atorvastatin was able to induce ferroptosis in adipose tissue, which was due to increased ROS and an increase in cellular senescence. Moreover, this effect could be reversed by the supplement of GGPP. Taken together, our results suggest that the induction of ferroptosis contributed to statin-induced cell senescence in adipose tissue.

Effects of high-intensity statin combined with telmisartan versus amlodipine on glucose metabolism in hypertensive atherosclerotic cardiovascular disease patients with impaired fasting glucose: A randomized multicenter trial

BACKGROUND

There is lacking evidence that telmisartan can improve insulin resistance in patients on high-intensity statins. This study compared the effects of telmisartan and amlodipine on glucose metabolism in hypertensive atherosclerotic cardiovascular disease (ASCVD) patients with impaired fasting glucose (IFG) requiring high-intensity rosuvastatin therapy.

METHODS

Ninety-nine patients were randomly assigned to 2 groups [telmisartan-statin group (n=48) and amlodipine-statin group (n=51)] as add-on therapy to high-intensity rosuvastatin therapy (20 mg). The primary endpoint was to assess insulin resistance using the homeostatic model assessment (HOMA-IR) value at week 24. The secondary endpoint was the change in glucose metabolism indices from baseline to week 24.

RESULTS

The HOMA-IR at week 24 (2.4 [interquartile range, 1.8-3.8] versus 2.7 [1.7-3.7]; P = .809) and changes in the HOMA-IR from baseline to week 24 (-7.0 [-29.0 to 21.0] versus -5.5 [-53.3 to 27.3]; P = .539) were not significantly different between 2 groups. However, the fasting glucose level at week 24 was significantly lower in the telmisartan-statin group than in the amlodipine-statin group (107.7 ± 13.4 mg/dL versus 113.3 ± 12.4 mg/dL; P = .039) and significantly decreased in the telmisartan-statin group (-3.2 ± 8.6% versus 3.8 ± 13.2%; P = .003). The proportion of patients with fasting glucose ≥100 mg/dL (71.1% versus 89.6%; P = .047) or new-onset diabetes mellitus (12.5% versus 31.4%, P = .044) at week 24 was also significantly lower in the telmisartan-statin group than in the amlodipine-statin group.

CONCLUSION

In comparison to amlodipine, telmisartan did not decrease the HOMA-IR. However, telmisartan preserved insulin secretion, led to a regression from IFG to euglycemia and prevented new-onset diabetes mellitus in ASCVD patients with IFG requiring high-intensity statins.

Effect of 1PC111, a Fixed-Dose Combination of Pitavastatin and Ezetimibe, Versus Pitavastatin or Ezetimibe Monotherapy on Lipid Profiles in Patients With Hypercholesterolemia or Mixed Dyslipidemia: A Randomized, Double-blind, Multicenter, Phase III Study

PURPOSE

This study aimed to show that the efficacy of 1PC111 is superior to that of either ezetimibe or pitavastatin alone (monotherapy) for the treatment of hypercholesterolemia.

METHODS

This was a multicenter, randomized, double-blind, Phase III study. Patients with hypercholesterolemia or mixed dyslipidemia were randomized to receive 1PC111 (which was a fixed-dose combination of pitavastatin 2 mg and ezetimibe 10 mg), pitavastatin 2 mg, or ezetimibe 10 mg daily for 12 weeks. The primary end point was the difference in the percent change in LDL-C from baseline to week 12 between the 1PC111 and each monotherapy group. The secondary end points were the percent change in other lipid profiles from baseline to each visit. All patients were assessed for adverse events until end of study.

FINDINGS

A total of 388 patients were randomly assigned to the 1PC111 (n = 128), pitavastatin (n = 132), or ezetimibe (n = 128) group. Generally, baseline characteristics were similar among the 3 groups. A statistically significant decrease in the LDL-C level at week 12 was observed in the 1PC111 group (-50.50% [14.9%]) compared with either the pitavastatin (-36.11% [11.4%]; P < 0.001) or ezetimibe (-19.85% [12.4%]; P < 0.001) group. Also, there was a statistically significant difference between 1PC111 and each monotherapy group in the reduction in total cholesterol, non-HDL-C, and apolipoprotein B levels. Moreover, there was a trend toward more efficient lowering of LDL-C levels in elderly patients (age ≥65 years) than in younger patients (age <65 years) by 1PC111 treatment. In patients given a class I recommendation for atherosclerotic cardiovascular disease prevention, the percentage of patients achieving the LDL-C target of <100 mg/dL at week 12 was significantly higher in the 1PC111 group than in both monotherapy groups (P < 0.001). Overall, the incidence of adverse events was similar among 3 groups.

IMPLICATIONS

1PC111 was more effective in improving lipid profiles and achieving the LDL-C goal than pitavastatin or ezetimibe alone for hypercholesterolemia treatment. Furthermore, 1PC111 may provide more benefit in treating elderly patients.

CLINICALTRIALS

gov identifier: NCT04643093. (Clin Ther. 2022;44:XXX-XXX) © 2022 Elsevier HS Journals, Inc.

A Scoping Review on the Reported Evidence and Gaps of the Risk of Diabetes in Dyslipidemic Patients under Statin Therapy

With the increasing global burden of dyslipidemia over the past 30 years, it is estimated that more than 200 million people worldwide are under statin therapy. In India, roughly 25–30% of urban populations and 15–20% of rural populations have abnormal lipid levels. Statin, which is deemed to be the gold standard lipid-lowering agent, is the first treatment of choice for these patients. Although statins at one end are highly effective against dyslipidemiaand cardiovascular diseases, at the other end, they cause adverse effects including an increased risk of diabetes mellitus. The objective of this study was to understand the coexistence of diabetes and dyslipidemia in patients undergoing statin therapy. A scoping review was conducted with published articles selected from PubMed and Google Scholar. The obtained results were filtered based on inclusion/exclusion criteria. Our database search provided a total of 822 articles, of which 48 were selected for this review, with results concluding that statin users are potentially at a greater risk of developing diabetes mellitus compared with patients who are not using statins. Although many studies have been conducted to ascertain the onset of diabetes mellitus amongst statin users, the exact mechanism is not yet precisely established. Future studies are essential for identifying the exact cause of diabetes mellitus in statin users.

Differences in the diabetogenic effect of statins in patients with prediabetes. The PRELIPID study

INTRODUCTION

Statins are used with the understanding that a slightly increased risk of diabetes is outweighed by their cardiovascular benefits. However, it may be necessary to reconsider whether statin therapy really increase this risk mainly in the population with prediabetes.

METHODS

A multicenter, cross-sectional, observational study was conducted to assess the relationship between statin therapy and glucose metabolism in 407 patients aged 63.1 years (11SD) diagnosed with dyslipidemia and prediabetes treated in specialized lipid clinics in Spain.

RESULTS

Significant differences were found in HbA1c values among treatment groups (p=0.015). Patients treated with pitavastatin (1-4mg/day) showed the lowest HbA1c levels, with significant differences compared to patients treated with atorvastatin 40-80mg/day (p=0.016) and simvastatin 10-40mg/day (p=0.036). By contrast, patients treated with atorvastatin 40-80mg/day showed the highest HbA1c levels compared to those receiving atorvastatin 10-20mg/day (p=0.003), pitavastatin 1-4mg/day (p=0.016), pravastatin 20-40mg/day (p=0.027), rosuvastatin 5-10mg/day (p=0.043), and no statin treatment (p=0.004). Patients treated with simvastatin 10-40mg/day also had higher values than those treated with atorvastatin 10-20mg/day (p=0.016) and pitavastatin 1-4mg/day (p=0.036) or with no statin treatment (p=0.018).

CONCLUSIONS

This study suggests that there are differences in the diabetogenic effect of statins. Simvastatin and high doses of atorvastatin may be associated with greater impairment in glucose metabolism than pitavastatin and other statins with less lipid-lowering potency such as pravastatin.

The association of subclinical atherosclerosis with prediabetes is stronger in people with dyslipidaemia than in those with normoglycaemia: A cross-sectional study in Chinese adults

BACKGROUND

Prediabetes is associated with a high risk of cardiovascular disease (CVD) and often occurs with dyslipidaemia. The present study investigated the association between subclinical atherosclerosis profiles and prediabetes with and without dyslipidaemia.

METHODS

This cross-sectional analysis included 4786 participants (1441 subjects with prediabetes and 3345 healthy controls). Prediabetes was defined by fasting plasma glucose (FPG) 5.6-6.9mmol/L or HbA1c 5.7-6.4% without antidiabetic drugs. Different markers of subclinical atherosclerosis were analysed: the carotid intima-media thickness (CIMT), carotid plaques (CP), and brachial-ankle pulse wave velocity (baPWV).

RESULTS

Subclinical atherosclerosis was significantly more prevalent in prediabetic subjects than in normoglycaemic subjects (P<0.001). Only individuals with prediabetes in the dyslipidaemic group had significantly elevated adjusted odds ratios for subclinical atherosclerosis profiles. When stratified by FPG-only, HbA1c-only or both, the three subcategories in combination with dyslipidaemia shared a similarly increased risk of subclinical atherosclerosis compared to normoglycaemia without dyslipidaemia (P<0.05). The risk profile increased directionally from FPG-only to HbA1c-only to both overall.

CONCLUSION

Our data suggest that subclinical atherosclerotic changes in the prediabetic state are mainly seen in dyslipidaemic subjects. Thus, strategies to prevent atherogenic changes might focus on persons with prediabetes combined with dyslipidaemia, especially for the prediabetes-both subcategory, because of potential effects on CVD risk.

Associations of statin use with glycaemic traits and incident type 2 diabetes

AIMS

There are several epidemiological studies on the association between statins and incident diabetes, but most of them lack details. In this study, we aimed to investigate the association of statin use with glycaemic traits and incident type 2 diabetes.

METHODS

Using the prospective population-based Rotterdam Study, we included 9535 individuals free from diabetes at baseline (>45 years) during the study period between 1997 and 2012. Linear regression analysis was applied to examine the cross-sectional associations between statin use and glycaemic traits including fasting blood serum of glucose and insulin concentrations, and insulin resistance. In a longitudinal follow-up study, we applied a Cox regression analysis to determine adjusted hazard ratios (HR) for incident type 2 diabetes in new users of statins.

RESULTS

The mean age at baseline was 64.3 ± 10.1 years and 41.7% were men. In the fully adjusted model, compared to never users of statins, baseline use of statins was associated with higher concentrations of serum fasting insulin (β = 0.07; 95% CI: 0.02-0.13) and insulin resistance (β = 0.09; 95% CI: 0.03-0.14). Ever use of statins was associated with a 38% higher risk of incident type 2 diabetes (HR = 1.38; 95% CI: 1.09-1.74). This risk was more prominent in subjects with impaired glucose homeostasis and in overweight/obese individuals.

CONCLUSIONS

Individuals using statins may be at higher risk for hyperglycaemia, insulin resistance and eventually type 2 diabetes. Rigorous preventive strategies such as glucose control and weight reduction in patients when initiating statin therapy might help minimize the risk of diabetes.

Effect of statins on fasting glucose in non-diabetic individuals: nationwide population-based health examination in Korea

BACKGROUND

Increasing evidence suggest that statin therapy has a diabetogenic effect. Individual types of statin may have a different effect on glucose metabolism. Using the repeated nationwide population-based health screening data in Korea, we investigated the longitudinal changes in fasting glucose level of non-diabetic individuals by use of statins.

METHODS

From the National Health Screening Cohort, we included 379,865 non-diabetic individuals who had ≥ 2 health screening examinations with fasting blood glucose level measured in 2002-2013. Using the prescription records of statins in the database, we calculated the proportion of days covered (PDC) and average number of defined daily doses per day (anDDD) by statins. We constructed multivariate linear mixed models to evaluate the effects of statins on the changes in fasting glucose (Δglu).

RESULTS

High PDC by statins had a significant positive effect on Δglu (coefficient for PDC 0.093 mmol/L, standard error 0.007, p < 0.001). anDDD by statins was also positively associated with Δglu (coefficient for anDDD 0.119 mmol/L, standard error 0.009, p < 0.001). Unlike statins, the PDC by fibrate and ezetimibe were not significantly associated with Δglu. There was no significant interaction effect on Δglu between time interval and statin. Considering individual types of statins, use of atorvastatin, rosuvastatin, pitavastatin, and simvastatin were significantly associated with increase of Δglu. Pravastatin, lovastatin, and fluvastatin were also positively associated with Δglu, but were not statistically significant.

CONCLUSIONS

More adherent and intensive use of statins was significantly associated with an increase in fasting glucose of non-diabetic individuals. In subgroup analysis of individual statins, use of atorvastatin, rosuvastatin, pitavastatin and simvastatin had significant association with increase in fasting glucose. Pravastatin, lovastatin, and fluvastatin had non-significant trend toward an increased fasting glucose. Our findings suggest the medication class effect of statins inducing hyperglycemia.

Exercise training prevents skeletal muscle plasma membrane cholesterol accumulation, cortical actin filament loss, and insulin resistance in C57BL/6J mice fed a western-style high-fat diet

Insulin action and glucose disposal are enhanced by exercise, yet the mechanisms involved remain imperfectly understood. While the causes of skeletal muscle insulin resistance also remain poorly understood, new evidence suggest excess plasma membrane (PM) cholesterol may contribute by damaging the cortical filamentous actin (F-actin) structure essential for GLUT4 glucose transporter redistribution to the PM upon insulin stimulation. Here, we investigated whether PM cholesterol toxicity was mitigated by exercise. Male C57BL/6J mice were placed on low-fat (LF, 10% kCal) or high-fat (HF, 45% kCal) diets for a total of 8 weeks. During the last 3 weeks of this LF/HF diet intervention, all mice were familiarized with a treadmill for 1 week and then either sham-exercised (0 m/min, 10% grade, 50 min) or exercised (13.5 m/min, 10% grade, 50 min) daily for 2 weeks. HF-feeding induced a significant gain in body mass by 3 weeks. Sham or chronic exercise did not affect food consumption, water intake, or body mass gain. Prior to sham and chronic exercise, "pre-intervention" glucose tolerance tests were performed on all animals and demonstrated that HF-fed mice were glucose intolerant. While sham exercise did not affect glucose tolerance in the LF or HF mice, exercised mice showed an improvement in glucose tolerance. Muscle from sham-exercised HF-fed mice showed a significant increase in PM cholesterol, loss of cortical F-actin, and decrease in insulin-stimulated glucose transport compared to sham-exercised LF-fed mice. These HF-fed skeletal muscle membrane/cytoskeletal abnormalities and insulin resistance were improved in exercised mice. These data reveal a new therapeutic aspect of exercise being regulation of skeletal muscle PM cholesterol homeostasis. Further studies on this mechanism of insulin resistance and the benefits of exercise on its prevention are needed.

Updates in nutrition and polypharmacy

PURPOSE OF REVIEW

Medications have the potential to affect nutritional status in negative ways, especially as the number of medications increase. The inter-relation between polypharmacy and malnutrition is complex and not fully delineated in previous studies. More research has been done and compiled in the last year, which helps to clarify this relationship. This review brings together the most recent literature with the previous research to help healthcare providers to better assess and manage medication therapy in older adults.

RECENT FINDINGS

Recent evidence confirms a synergistic negative effect of polypharmacy and malnutrition on outcomes of older adults. In addition, several drug classes, including common antihypertensive agents, acetylcholinesterase inhibitors, multivitamins, proton pump inhibitors, HMG-CoA reductase inhibitors (statins), antiplatelet agents and metformin, have been implicated in important drug-nutrient interactions. These are reviewed in detail here. Ongoing research endeavors are described.

SUMMARY

Healthcare practitioners can use this review to identify potentially inappropriate medications and patients at highest risk of experiencing a medication-related adverse reaction in order to systematically deprescribe these high-risk medications.

Circulating Cholesterol Levels May Link to the Factors Influencing Parkinson's Risk

OBJECTIVES

A growing literature suggests that circulating cholesterol levels have been associated with Parkinson's disease (PD). In this study, we investigated a possible causal basis for the cholesterol-PD link.

METHODS

Fasting plasma cholesterol levels were obtained from 91 PD and 70 age- and gender-matched controls from an NINDS PD Biomarkers Program cohort at the Pennsylvania State University College of Medicine. Based on the literature, genetic polymorphisms in selected cholesterol management genes (APOE, LDLR, LRP1, and LRPAP1) were chosen as confounding variables because they may influence both cholesterol levels and PD risk. First, the marginal structure model was applied, where the associations of total- and LDL-cholesterol levels with genetic polymorphisms, statin usage, and smoking history were estimated using linear regression. Then, potential causal influences of total- and LDL-cholesterol on PD occurrence were investigated using a generalized propensity score approach in the second step.

RESULTS

Both statins (p < 0.001) and LRP1 (p < 0.03) influenced total- and LDL-cholesterol levels. There also was a trend for APOE to affect total- and LDL-cholesterol (p = 0.08 for both), and for LRPAR1 to affect LDL-cholesterol (p = 0.05). Conversely, LDLR did not influence plasma cholesterol levels (p > 0.19). Based on propensity score methods, lower total- and LDL-cholesterol were significantly linked to PD (p < 0.001 and p = 0.04, respectively).

CONCLUSION

The current study suggests that circulating total- and LDL-cholesterol levels potentially may be linked to the factor(s) influencing PD risk. Further studies to validate these results would impact our understanding of the role of cholesterol as a risk factor in PD, and its relationship to recent public health controversies.