Effect of evolocumab on fasting and post fat load lipids and lipoproteins in familial dysbetalipoproteinemia

BACKGROUND

Familial dysbetalipoproteinemia (FD) is the second most common monogenic lipid disorder (prevalence 1 in 850-3500), characterized by postprandial remnant accumulation and associated with increased cardiovascular disease (CVD) risk. Many FD patients do not achieve non-HDL-C treatment goals, indicating the need for additional lipid-lowering treatment options.

OBJECTIVES

To evaluate the effect of the PCSK9 monoclonal antibody evolocumab added to standard lipid-lowering therapy on fasting and post fat load lipids and lipoproteins in patients with FD.

METHODS

A randomized placebo-controlled double-blind crossover trial comparing evolocumab (140 mg subcutaneous every 2 weeks) with placebo during two 12-week treatment periods. At the start and end of each treatment period patients received an oral fat load. The primary endpoint was the 8-hour post fat load non-HDL-C area under the curve (AUC). Secondary endpoints included fasting and post fat load lipids and lipoproteins.

RESULTS

In total, 28 patients completed the study. Mean age was 62±9 years and 93% had an Ɛ2Ɛ2 genotype. Evolocumab reduced the 8-hour post fat load non-HDL-C AUC with 49% (95%CI 42-55) and apolipoprotein B (apoB) AUC with 47% (95%CI 41-53). Other fasting and absolute post fat load lipids and lipoproteins including triglycerides and remnant-cholesterol were also significantly reduced by evolocumab. However, evolocumab did not have significant effects on the rise above fasting levels that occurred after consumption of the oral fat load.

CONCLUSIONS

Evolocumab added to standard lipid-lowering therapy significantly reduced fasting and absolute post fat load concentrations of non-HDL-C, apoB and other atherogenic lipids and lipoproteins in FD patients. The clinically significant decrease in lipids and lipoproteins can be expected to translate into a reduction in CVD risk in these high-risk patients.

Effects of diets rich in ghee or olive oil on cardiometabolic risk factors in healthy adults: a two-period, crossover, randomised trial

This study aimed to evaluate the cardiovascular health-related effects of consuming ghee in the usual diet. Thirty healthy men and women were studied in a free-living outpatient regimen. The participants were instructed for the isoenergetic inclusion of ghee or olive oil in their diets for 4 weeks using a randomised crossover design. At the end of run-in (baseline), 2-week wash-out and interventions, fasting blood samples were drawn. In addition, 2-h postprandial blood samples were collected after ingestion of a meal containing olive oil or ghee at week 4 of each dietary intervention. Body weight was not different between the two interventions. Compared with the olive oil, the diet with ghee increased fasting plasma apo-B (apo B) (0·09, 95 % CI 0·02, 0·17 g/l, P = 0·018), non-HDL-cholesterol (non-HDL-cholesterol) (0·53, 95 % CI 0·01, 1·05 mmol/l, P = 0·046) and LDL-cholesterol did not differ significantly between diet groups (0·29, 95 % CI -0·05, 0·63 mmol/l, P = 0·092), but had no significant effect on total cholesterol:HDL-cholesterol ratio (0·75, 95 % CI - 0·24 to 1·74 mmol/l, P = 0·118). No significant difference was observed in fasting as well as 2-h postprandial plasma TAG, glucose, insulin and plasminogen activator inhibitor-1 concentrations. This study showed that ghee that is predominantly saturated fats had an increasing effect on plasma apo B and non-HDL-cholesterol compared with olive oil, adding further evidence to the existing recommendations to replace dietary fats high in SFA with dietary fats high in unsaturated fats to reduce CVD risk.

Treatment of mild-to-moderate hypertriglyceridemia

The atherogenic role of triglycerides (TG) as an independent cardiovascular risk factor has been discussed for many years, largely because hypertriglyceridaemia (HTG) is a complex metabolic entity of multiple aetiology involving processes of diverse nature. In this chapter, a discussion will be presented on the current recommendations for the management of mild-moderate hypertriglyceridaemia (150-880mg/dL). The aim of the interventions used is to decrease the LDL-cholesterol (c-LDL) and control the HTG. This entails reducing apoprotein B (ApoB) levels, the number of remaining TG-rich lipoproteins (LRP), non-HDL-cholesterol (c-non-HDL), and increasing HDL-cholesterol (c-HDL). The management strategy includes healthy lifestyle recommendations, and subsequent use of lipid-lowering drugs, including statins, fibrates, n-3 fatty acids and PCSK9 inhibitors.

Dietary habits, metabolic health and vitamin D status in Greenlandic children

OBJECTIVE

To compare the dietary habits of children living in northern villages and in the capital of Greenland, given the reported transition from traditional to westernised diet in adults over recent decades, and to explore the association between consumption of marine mammals and fish (MMF) and the children's metabolic profile and vitamin D status.

DESIGN

Children answered an FFQ encompassing sixty-four individual food types pooled into six food categories. Their pubertal stage, body fat, fitness level, metabolic profile (non-HDL-cholesterol, glycated Hb, insulin, glucose, high-sensitivity C-reactive protein) as well as serum 25-hydroxyvitamin D (25(OH)D) concentration were evaluated.

SETTING

Siorapaluk and Qaanaaq (north of Greenland) and Nuuk (west).

PARTICIPANTS

Children aged 6-18 years (n 177).

RESULTS

MMF were most frequently eaten by children from Siorapaluk (mean (sd): 73·4 (14·1) times/month), followed by children from Qaanaaq (37·0 (25·0) times/month), and least often eaten by children from Nuuk (23·7 (24·6) times/month; P < 0·001). Children from Qaanaaq consumed 'junk food' more frequently (P < 0·001) and fruits and vegetables less frequently (P < 0·01) than children from Nuuk. MMF consumption was positively associated with serum 25(OH)D concentration (P < 0·05), but the overall prevalence of vitamin D deficiency was high (18 %). No association was found between MMF consumption and metabolic parameters.

CONCLUSIONS

The dietary transition and influence of western diets have spread to the north of Greenland and only the most remote place consumed a traditional diet highly based on MMF. We found no strong associations of MMF consumption with metabolic health, but a positive association with vitamin D status.

Impact of Lipid-Lowering Therapy on Mortality According to the Baseline Non-HDL Cholesterol Level: A Meta-Analysis

INTRODUCTION

Previous report showed that more intensive lipid-lowering therapy was associated with less mortality when baseline LDL-C levels were > 100 mg/dL. Non-HDL-C is a better predictor of cardiovascular risk than simpler LDL-C.

AIM

The objective of this meta-analysis was to define the impact of lipid-lowering therapy on the reduction of total and cardiovascular mortality by different baseline levels of non-HDL-C.

METHODS

We performed a meta-analysis including randomized, controlled clinical trials of lipid-lowering therapy, reporting mortality with a minimum of 6 months of follow-up, searching in PubMed/Medline, EMBASE and Cochrane Clinical Trials databases. The random-effects model and meta-regression were performed.

RESULTS

Twenty nine trials of lipid-lowering drugs, including 233,027 patients, were considered eligible for the analyses. According to the baseline non-HDL-C level, the results on cardiovascular mortality were: (1) ≥ 190 mg/dL: OR 0.63 (95% CI 0.53-0.76); (2) 160-189 mg/dL: OR 0.82 (95% CI 0.75-0.89); (3) 130-159 mg/dL: OR 0.71 (95% CI 0.52-0.98); (4) < 130 mg/dL: OR 0.95 (95% CI 0.87-1.05). When evaluating mortality from any cause, the results were the following: (1) ≥ 190 mg/dL: OR 0.70 (95% CI 0.61-0.82); (2) 160-189 mg/dL: OR 0.91 (95% CI 0.83-0.98); (3) 130-159 mg/dL; OR 0.88 (95% CI 0.77-1.00); (4) < 130 mg/dL: OR 0.98 (95% CI 0.91-1.06). The meta-regression analysis showed a significant association between baseline non-HDL-C and mortality.

CONCLUSIONS

In these meta-analyses, lipid-lowering therapy was associated with reduction in the risk of all-cause and cardiovascular mortality when baseline non-HDL-C levels were above than 130 mg/dL.

Real-World Data to Identify Hypercholesterolemia Patients on Suboptimal Statin Therapy

AIM

Statins are generally well-tolerated but some patients develop adverse events and down-titrate or discontinue statins. It is important to understand the frequency of dyslipidemia patients with the inability to continue statins. The aim of the present study was to identify the frequency of high-risk dyslipidemia patients who are unable to take or not taking statins for any reason using Japanese hospital claims database.

METHODS

2,527,405 dyslipidemia patients with atherosclerotic cardiovascular disease were investigated between April 2008 and September 2017. Definition 1 included statin discontinuation or down-titration with non-statin lipid modifying therapy (LMT) prescription, rhabdomyolysis or muscle-related symptoms with statin down-titration or discontinuation, or prescription for ≥3 statin types. Definition 2 included all components of Definition 1 in addition to statin down-titration or discontinuation for any reason. Patients never given statins but who started non-statin LMT were considered as Definition 3. The achievement rate of the target LDL-C level was investigated.

RESULTS

Among 54,296 patients with statin prescription, 2.32% and 48.38% patients were identified as Definition 1 and 2, respectively. Of eligible patients, 13.16% patients were identified as Definition 3. The achievement rate of target LDL-C level was lower in patients meeting each definition than not satisfying each definition.

CONCLUSIONS

There is a proportion of high-risk dyslipidemia patients unable to take or not taking statins for any reason, and it is associated with lower achievement rates of target LDL-C levels. Suboptimal management of LDL-C is directly associated with residual cardiovascular risk and implementation of alternative therapeutic options in addition to existing LMT is warranted.

Effect of visit-to-visit LDL-, HDL-, and non-HDL-cholesterol variability on mortality and cardiovascular outcomes after percutaneous coronary intervention

BACKGROUND AND AIMS

Visit-to-visit variability in biological measures has been suggested as an independent predictor of cardiovascular disease (CVD). Although low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) are important risk factors of CVD, there are few studies investigating the effect of variability in LDL-C and HDL-C on cardiovascular outcomes. We investigated the association between visit-to-visit variability in LDL-C, HDL-C, and non-HDL-C and major adverse cardiovascular and cerebrovascular events (MACCE) in patients who underwent percutaneous coronary intervention (PCI).

METHODS

Data from 1792 subjects who underwent PCI from January 2004 to December 2009 were analyzed. Visit-to-visit variability was calculated using various indices: standard deviation (SD), coefficient of variation, and corrected variability independent of mean (cVIM). MACCE comprised all-cause death, non-fatal myocardial infarction, and stroke.

RESULTS

During a median follow-up period of 65 months, 114 subjects (6.4%) experienced MACCE: 68 (3.8%) all-cause death; 43 (2.4%) stroke, and 15 (0.8%) non-fatal myocardial infarction. Visit-to-visit variability in LDL-C, HDL-C, and non-HDL-C was significantly higher in the MACCE group compared to the non-MACCE group. In multiple regression analysis, all LDL-C, HDL-C, and non-HDL-C variability parameters were independent predictors for MACCE after adjusting for potential confounding factors. Each 1-SD increase of cVIM in LDL-C, HDL-C, and non-HDL-C increased the risk of MACCE by 34% (HR 1.34 [95% CI, 1.18-1.52]), 50% (HR 1.50 [95% CI 1.32-1.71]), and 37% (HR 1.37 [95% CI, 1.20-1.57]), respectively. These relationships were observed in various subgroups according to age, sex, and diabetes status.

CONCLUSIONS

Visit-to-visit variability in LDL-C, HDL-C, and non-HDL-C is associated with MACCE in subjects with previous PCI.

Abnormalities in the relationship of paraoxonase 1 with HDL and apolipoprotein A1 and their possible connection to HDL dysfunctionality in type 2 diabetes

AIMS

Lipid parameters, lipid risk indexes and lipid-related oxidative stress markers (paraoxonase 1 [PON1] and lipid peroxides [LPO]) reflect the actual status of lipid metabolism in type 2 diabetes (T2DM). We hypothesized that relationships of high-density lipoprotein cholesterol (HDL-c) with PON1 and apolipoprotein A1 (ApoA1) and/or PON1 with ApoA1 under conditions of hyperglycaemia and oxidative stress might reveal HDL functionality. We investigated relationships between PON1, LPO, and lipid risk markers in T2DM subjects and compared them with those in healthy subjects.

METHODS

A total of 107 Caucasian subjects, 67 T2DM outpatients (mean age 52.2 ± 6.9 years) and 40 healthy subjects (mean age 48.1 ± 7.5 years) were included in the study. Serum levels of total cholesterol (CHOL-T), HDL-c, low-density lipoprotein cholesterol (LDL-c), triglycerides (TG), apolipoprotein B (ApoB), ApoA1, LPO, and PON1 activity were measured. Non-HDL-c, ApoB/ApoA1 and non-HDL/HDL (lipid risk indexes) were calculated.

RESULTS

Higher levels of TG, LPO (P < 0.0001), nonHDL/HDL and ApoB/ApoA1 (P < 0.001, 0.05, respectively), and lower levels of HDL-c, ApoA1, and PON1 (P < 0.0001) were observed in T2DM subjects than in controls. There is a lack of relationship among PON1, HDL-c, and ApoA1 in T2DM patients. PON1 activity positively correlated with these parameters (P < 0.0001) in controls. Strong correlations between non-HDL-c and ApoB (r = 0.956 vs. 0.756; P < 0.0001), LPO and TG (r = 0.831 vs. 0.739; P < 0.0001) were recorded in both study groups (P < 0.0001).

CONCLUSIONS

Impaired anti-oxidant and anti-atherogenic HDL properties associated with weakened PON1 function and lipid peroxidation may contribute to the development of atherosclerosis-related diseases in T2DM.

Update on the laboratory investigation of dyslipidemias

The role of the clinical laboratory is evolving to provide more information to clinicians to assess cardiovascular disease (CVD) risk and target therapy more effectively. Current routine methods to measure LDL-cholesterol (LDL-C), the Friedewald calculation, ultracentrifugation, electrophoresis and homogeneous direct methods have established limitations. Studies suggest that LDL and HDL size or particle concentration are alternative methods to predict future CVD risk. At this time there is no consensus role for lipoprotein particle or subclasses in CVD risk assessment. LDL and HDL particle concentration are measured by several methods, namely gradient gel electrophoresis, ultracentrifugation-vertical auto profile, nuclear magnetic resonance and ion mobility. It has been suggested that HDL functional assays may be better predictors of CVD risk. To assess the issue of lipoprotein subclasses/particles and HDL function as potential CVD risk markers robust, simple, validated analytical methods are required. In patients with small dense LDL particles, even a perfect measure of LDL-C will not reflect LDL particle concentration. Non-HDL-C is an alternative measurement and includes VLDL and CM remnant cholesterol and LDL-C. However, apolipoprotein B measurement may more accurately reflect LDL particle numbers. Non-fasting lipid measurements have many practical advantages. Defining thresholds for treatment with new measurements of CVD risk remain a challenge. In families with genetic variants, ApoCIII and lipoprotein (a) may be additional risk factors. Recognition of familial causes of dyslipidemias and diagnosis in childhood will result in early treatment. This review discusses the limitations in current laboratory technologies to predict CVD risk and reviews the evidence for emergent approaches using newer biomarkers in clinical practice.

Non-HDL cholesterol and LDL cholesterol in the dyslipidemic classification in patients with nonalcoholic fatty liver disease

BACKGROUND

Low-density lipoprotein cholesterol (LDL-C) always underestimates the true cholesterol burden in patients with nonalcoholic fatty liver disease (NAFLD). We aimed to compare LDL-C and non-high-density lipoprotein cholesterol (non-HDL-C) in the identification of high-risk dyslipidemic phenotypes in those with NAFLD.

METHODS

We conducted a cross-sectional analysis using a cohort of 9560 apparently healthy Chinese adults who underwent comprehensive health checkups including abdominal ultrasonography.

RESULTS

Among 3709 patients with NAFLD, the prevalence of abnormal LDL using LDL-C was 68.5%, whereas the prevalence was relatively lower when using non-HDL-C (55.9%). The concordance between non-HDL-C- and LDL-C-based diagnoses of abnormal LDL was similar in the hypertriglyceridemic (ҝ = 0.56; 95% CI 0.52-0.60) and normotriglyceridemic subgroups (ҝ = 0.47; 95% CI 0.44-0.51). Non-HDL-C detected fewer patients with abnormal LDL than LDL-C in normotriglyceridemic patients. However, non-HDL-C detected more patients with abnormal LDL than LDL-C in hypertriglyceridemic patients: 114 of the 1662 patients considered as abnormal LDL according to LDL-C fell into the normonon-HDL-C phenotype, whereas 204 of the 1662 patients considered as abnormal LDL according to non-HDL-C fell into the normoLDL-C phenotype.

CONCLUSION

Among patients with NAFLD, LDL-C is superior to non-HDL-C in the detection of high-risk phenotypes in normotriglyceridemic patients, whereas non-HDL-C seems to be superior in hypertriglyceridemic patients.

Is non-HDL-cholesterol a better predictor of long-term outcome in patients after acute myocardial infarction compared to LDL-cholesterol? : a retrospective study

Background

It has recently been shown that non-high density lipoprotein cholesterol (non-HDL-C) may be a better predictor of cardiovascular risk than low density lipoprotein cholesterol (LDL-C). Based on known ethic differences in lipid parameters and cardiovascular risk prediction, we sought to study the predictability of attaining non-HDL-C target and long-term major adverse cardiovascular event (MACE) in Thai patients after acute myocardial infarction (AMI) compared to attaining LDL-C target.

Methods

We retrospectively obtained the data of all patients who were admitted at Maharaj Nakorn Chiang Mai hospital due to AMI during 2006–2013. The mean non-HDL-C and LDL-C during long-term follow-up were used to predict MACE at each time point. The patients were classified as target attainment if non-HDL-C <100 mg/dl and/or LDL-C <70 mg/dl. The MACE was defined as combination of all-cause death, nonfatal coronary event and nonfatal stroke.

Results

During mean follow-up of 2.6 ± 1.6 years among 868 patients after AMI, 34.4% achieved non-HDL-C target, 23.7% achieved LDL-C target and 21.2% experienced MACEs. LDL-C and non-HDL-C were directly compared in Cox regression model. Compared with non-HDL-C <100 mg/dl, patients with non-HDL-C of >130 mg/dl had higher incidence of MACEs (HR 3.15, 95% CI 1.46–6.80, P = 0.003). Surprisingly, LDL-C >100 mg/dl was associated with reduced risk of MACE as compared to LDL <70 mg/dl (HR 0.42, 95% CI 0.18–0.98, p = 0.046) after direct pairwise comparison with non-HDL-C level.

Conclusions

Non-attaining non-HDL-C goal predicted MACE at long-term follow-up after AMI whereas non-attaining LDL-C goal was not associated with the higher risk. Therefore, non-HDL-C may be a more suitable target of dyslipidemia treatment than LDL-C in patients after AMI.

Electronic supplementary material

The online version of this article (doi:10.1186/s12872-016-0450-9) contains supplementary material, which is available to authorized users.

Comparison of serum lipid management between elderly and non-elderly patients with and without coronary heart disease (CHD)

Serum lipid management in patients aged ≥ 75 has not been precisely explored. We, therefore, compared the serum lipid management between the two age groups with and without coronary heart disease (CHD). We, therefore, retrospectively reviewed medical charts of patients who were hospitalized in the departments of internal medicine during a period of 14 months. Serum lipid goal attainment was explored by applying the lipid goals for patients aged < 75 to those aged ≥ 75. In 1988 enrolled patients, 717 subjects (36.1%) were aged ≥ 75. Among them, 41.3% and 32.4% of the patients had CHD, 44.2% and 41.0% were primary prevention at high-risk, and 14.5% and 14.6% were primary prevention at moderate-risk in patients aged ≥ 75 and aged < 75, respectively. Serum LDL-C goal achievement rates in CHD were 66.9% and 65.0% in patients aged ≥ 75 and < 75, respectively (p = 0.334). In the primary prevention at high-risk, these rates were 73.5% and 63.3%, in patients aged ≥ 75 and < 75, respectively (p = 0.001). They were 77.9% and 58.1% in primary prevention at moderate-risk aged ≥ 75 and < 75, respectively (p < 0.001). In CHD, lipid-lowering medication subscription rates were significantly lower in patients aged ≥ 75 (60.1%) than those aged < 75 (73.8%, p < 0.001). In conclusion, in CHD, serum lipid goal attainment was comparable between the two age groups although the lipid-lowering drugs were less frequently prescribed in patients aged ≥ 75. Without CHD, it was significantly better in patients aged ≥ 75 than those aged < 75 although the lipid-lowering drug subscription rates were comparable between the two age groups.

Non-HDL-cholesterol to HDL-cholesterol ratio as an independent risk factor for the development of chronic kidney disease

BACKGROUND AND AIMS

Dyslipidemia contributes to the development and progression of renal disease. The objective of this study was to investigate whether an elevated non-HDL-cholesterol to HDL-cholesterol ratio (NonHDLc/HDLc) predicts new-onset chronic kidney disease (CKD).

METHODS AND RESULTS

We followed 1891 Chinese adults with normal or near-normal kidney function at baseline who participated in an annual health checkup program for the occurrence of new-onset CKD [defined as an estimated glomerular filtration rate (eGFR) of <60 mL/min/1.73 m(2) (low eGFR) and/or proteinuria (defined as urinary protein ≥1 + on dipstick testing)] or low eGFR. Cox proportional hazards models were used to examine the independent relationship between the plasma NonHDLc/HDLc ratio and new-onset CKD. During a median follow-up period of 2.8 years, 3% (n = 57) of participants developed new-onset CKD. Compared with patients in the lowest tertile, patients with NonHDLc/HDLc ratios in the highest tertile had a 1.45-fold higher risk of new-onset CKD (hazard ratio [HR], 2.45; 95% confidence interval [95% CI], 1.07 to 5.61; P = 0.035) after adjustment for potential confounders. There was a marginally significant association with low eGFR (tertile 3 versus tertile 1: HR, 2.94; 95% CI, 0.98 to 8.82; P = 0.054).

CONCLUSIONS

NonHDLc/HDLc ratio is an independent risk factor for the development of CKD. Assessment of NonHDLc/HDLc ratio may help identify high risk groups with chronic kidney disease.

Innovative pharmaceutical interventions in cardiovascular disease: Focusing on the contribution of non-HDL-C/LDL-C-lowering versus HDL-C-raising: A systematic review and meta-analysis of relevant preclinical studies and clinical trials

Non-HDL-cholesterol is well recognised as a primary causal risk factor in cardiovascular disease. However, despite consistent epidemiological evidence for an inverse association between HDL-C and coronary heart disease, clinical trials aimed at raising HDL-C (AIM-HIGH, HPS2-THRIVE, dal-OUTCOMES) failed to meet their primary goals. This systematic review and meta-analysis investigated the effects of established and novel treatment strategies, specifically targeting HDL, on inhibition of atherosclerosis in cholesteryl ester transfer protein-expressing animals, and the prevention of clinical events in randomised controlled trials. Linear regression analyses using data from preclinical studies revealed associations for TC and non-HDL-C and lesion area (R(2)=0.258, P=0.045; R(2)=0.760, P<0.001), but not for HDL-C (R(2)=0.030, P=0.556). In clinical trials, non-fatal myocardial infarction risk was significantly less in the treatment group with pooled odd ratios of 0.87 [0.81; 0.94] for all trials and 0.85 [0.78; 0.93] after excluding some trials due to off-target adverse events, whereas all-cause mortality was not affected (OR 1.05 [0.99-1.10]). Meta-regression analyses revealed a trend towards an association between between-group differences in absolute change from baseline in LDL-C and non-fatal myocardial infarction (P=0.066), whereas no correlation was found for HDL-C (P=0.955). We conclude that the protective role of lowering LDL-C and non-HDL-C is well-established. The contribution of raising HDL-C on inhibition of atherosclerosis and the prevention of cardiovascular disease remains undefined and may be dependent on the mode of action of HDL-C-modification. Nonetheless, treatment strategies aimed at improving HDL function and raising apolipoprotein A-I may be worth exploring.

Influence of heart rate variability and psychosocial factors on carotid stiffness, elasticity and impedance at menopause

BACKGROUND AND AIMS

The risk for cardiovascular diseases (CVD) increases after menopause. Heart rate variability (HRV), a measure of autonomic control, is a strong predictor of CVD. We undertook this study to test the association of ultrasound indices of early carotid atherosclerosis with HRV, symptoms, hormonal conditions, metabolic state, indicators of stress, and psychosocial factors in women at peri- and postmenopause, registering ambulatory R-R interval monitoring.

METHODS

In a cross-sectional design we studied 100 women at peri- and early postmenopause collecting anthropometry, symptoms, stress-related measurements, metabolic variables, cortisol, FSH and estradiol. We evaluated carotid ultrasonographic indices, and HRV was recorded for 4 h calculating time (SDNN, pNN50, rMSSD) and frequency domains (LF, HF, LF/HF) in women according to menopausal stage, estradiol levels, body mass index and waist circumference.

RESULTS

Carotid indices were similar in peri- and postmenopausal women. For HRV measurements, SDNN was increased at postmenopause. Women with estradiol levels <109.2 pmol/L had increased intima-media thickness (IMT), resistive index, and systolic diameter. Using multivariate analysis, we found the associations of IMT positively with non-HDL-cholesterol, resistive index positively with LF-HRV, but negatively with effort/reward imbalance, carotid β stiffness index inversely with estradiol, and arterial distensibility positively with HF-HRV and creatinine concentrations, but negatively with non-HDL-cholesterol.

CONCLUSIONS

Carotid thickness was related mainly with lipid alterations. Indices of early carotid damage were related with various components of HRV as a manifestation of autonomic imbalance, indicating CVD risk. Other factors involved were time since last menses and psychological stress. Low creatinine was associated with diminished carotid distensibility. This suggests that estrogen, lifestyle, behavior and autonomic regulation participate in vascular damage.

Anacetrapib reduces progression of atherosclerosis, mainly by reducing non-HDL-cholesterol, improves lesion stability and adds to the beneficial effects of atorvastatin

BACKGROUND

The residual risk that remains after statin treatment supports the addition of other LDL-C-lowering agents and has stimulated the search for secondary treatment targets. Epidemiological studies propose HDL-C as a possible candidate. Cholesteryl ester transfer protein (CETP) transfers cholesteryl esters from atheroprotective HDL to atherogenic (V)LDL. The CETP inhibitor anacetrapib decreases (V)LDL-C by ∼15-40% and increases HDL-C by ∼40-140% in clinical trials. We evaluated the effects of a broad dose range of anacetrapib on atherosclerosis and HDL function, and examined possible additive/synergistic effects of anacetrapib on top of atorvastatin in APOE*3Leiden.CETP mice.

METHODS AND RESULTS

Mice were fed a diet without or with ascending dosages of anacetrapib (0.03; 0.3; 3; 30 mg/kg/day), atorvastatin (2.4 mg/kg/day) alone or in combination with anacetrapib (0.3 mg/kg/day) for 21 weeks. Anacetrapib dose-dependently reduced CETP activity (-59 to -100%, P < 0.001), thereby decreasing non-HDL-C (-24 to -45%, P < 0.001) and increasing HDL-C (+30 to +86%, P < 0.001). Anacetrapib dose-dependently reduced the atherosclerotic lesion area (-41 to -92%, P < 0.01) and severity, increased plaque stability index and added to the effects of atorvastatin by further decreasing lesion size (-95%, P < 0.001) and severity. Analysis of covariance showed that both anacetrapib (P < 0.05) and non-HDL-C (P < 0.001), but not HDL-C (P = 0.76), independently determined lesion size.

CONCLUSION

Anacetrapib dose-dependently reduces atherosclerosis, and adds to the anti-atherogenic effects of atorvastatin, which is mainly ascribed to a reduction in non-HDL-C. In addition, anacetrapib improves lesion stability.

Non-HDL-cholesterol in an adolescent diabetes population

BACKGROUND

Screening for dyslipidemia poses some challenges. Nonfasting lipid profiles frequently have elevated triglycerides. In addition, in the standard lipid profile, low-density lipoprotein (LDL) cholesterol is a calculated value rather than a direct measurement and is triglyceride dependent. Non-high-density lipoprotein cholesterol (non-HDL-C) is an alternative method to assess for dyslipidemia and provides a single estimate of all atherogenic apolipoprotein B-containing lipoproteins.

OBJECTIVE

To calculate the non-HDL-C in adolescents with diabetes and to evaluate risk factors associated with an elevated non-HDL-C and to compare the prevalence of dyslipidemia, defined by non-HDL-C, with the prevalence of dyslipidemia defined by LDL cholesterol in the SEARCH study.

METHODS

Data were collected from 502 adolescent patients with diabetes and analyzed. Non-HDL-C was calculated and levels were categorized into normal, borderline, and high based on the National Cholesterol Education Program.

RESULTS

Lipid profile was performed in 370 patients, 92% of whom had type 1 diabetes. In the 339 subjects with type 1 diabetes, mean hemoglobin A1c (HbA1c) of those with normal non-HDL-C (8.6%) was significantly lower than the HbA1c of those with high non-HDL-C (9.6%) (P = .005). Subjects with normal non-HDL-C had a lower body mass index (BMI) z-score (0.4 ± 0.8) than the group with borderline and high non-HDL-C (0.75 ± 0.9%), P = .002. In the 31 subjects with type 2 diabetes, the mean HbA1c of those with normal non-HDL-C (8.1%) and those with borderline non-HDL-C (7.0%) was significantly lower than the mean HbA1c of those with high non-HDL-C (11.8%) (P = .04, and P = .009, respectively). In addition, the subjects with normal non-HDL-C had a lower BMI z-score (1.3 ± 1.3) than the group with borderline and high non-HDL-C (2.2 ± 0.6%), P = .03. The prevalence of dyslipidemia using non-HDL-C was similar to prevalence rates using LDL-C in the SEARCH study.

CONCLUSIONS

In adolescents with diabetes, non-HDL-C is increased with poorer diabetes control and higher BMI. It appears to be a superior nonfasting lipid screening test for adolescents with diabetes that can be readily calculated on a randomly obtained rather than fasting sample.