Prognostic value of non-high-density lipoprotein cholesterol for mortality in patients with coronary heart disease: A systematic review and meta-analysis

The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) as a predictor of all-cause and cardiovascular mortality in US adults with diabetes or prediabetes: NHANES 1999-2018

BACKGROUND

The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) serves as a novel composite lipid indicator for atherosclerosis. However, the association between NHHR and mortality in patients with diabetes or prediabetes remains unclear. Consequently, the objective of this study was to investigate the relationship between NHHR and both all-cause and cardiovascular mortality in US adults with diabetes or prediabetes.

METHODS

This study included 12,578 adult participants with diabetes or prediabetes from the US National Health and Nutrition Examination Survey (1999-2018). Mortality outcomes were ascertained by linking to the National Death Index (NDI) record up to December 31, 2019. We employed a weighted multivariate Cox proportional hazards model and restricted cubic splines to assess the associations between NHHR and all-cause and cardiovascular mortality. A segmented Cox proportional hazards model was used for evaluating threshold effects. Furthermore, a competing risks analysis was performed to explore the relationship between NHHR and cardiovascular mortality.

RESULTS

During a median follow-up period of 8.08 years, 2403 participants encountered all-cause mortality, with 662 of them specifically succumbing to cardiovascular mortality. The restricted cubic splines revealed a U-shaped association between NHHR and all-cause mortality, while an L-shaped association was observed for cardiovascular mortality. The analysis of threshold effects revealed that the inflection points for NHHR and all-cause and cardiovascular mortality were 2.72 and 2.83, respectively. Specifically, when the baseline NHHR was below the inflection points, a negative correlation was observed between NHHR and both all-cause mortality (HR: 0.76, 95% CI: 0.68-0.85) and cardiovascular mortality (HR: 0.70, 95% CI: 0.57-0.85). Conversely, when the baseline NHHR exceeded the inflection points, a positive correlation was observed between NHHR and both all-cause mortality (HR: 1.11, 95% CI: 1.06-1.16) and cardiovascular mortality (HR: 1.08, 95% CI: 1.00-1.16).

CONCLUSIONS

Among US adults with diabetes or prediabetes, a U-shaped association was observed between NHHR and all-cause mortality, whereas an L-shaped association was identified with cardiovascular mortality. The inflection points for all-cause and cardiovascular mortality were 2.72 and 2.83, respectively.

Non-HDL-cholesterol in dyslipidemia: Review of the state-of-the-art literature and outlook

Dyslipidemia refers to unhealthy changes in blood lipid composition and is a risk factor for atherosclerotic cardiovascular diseases (ASCVD). Usually, low-density lipoprotein-cholesterol (LDL-C) is the primary goal for dyslipidemia management. However, non-high-density lipoprotein cholesterol (non-HDL-C) has gained attention as an alternative, reliable goal. It encompasses all plasma lipoproteins like LDL, triglyceride-rich lipoproteins (TRL), TRL-remnants, and lipoprotein a [Lp(a)] except high-density lipoproteins (HDL). In addition to LDL-C, several other constituents of non-HDL-C have been reported to be atherogenic, aiding the pathophysiology of atherosclerosis. They are acknowledged as contributors to residual ASCVD risk that exists in patients on statin therapy with controlled LDL-C levels. Therefore, non-HDL-C is now considered an independent risk factor or predictor for CVD. The popularity of non-HDL-C is attributed to its ease of estimation and non-dependency on fasting status. It is also better at predicting ASCVD risk in patients on statin therapy, and/or in those with obesity, diabetes, and metabolic disorders. In addition, large follow-up studies have reported that individuals with higher baseline non-HDL-C at a younger age (<45 years) were more prone to adverse CVD events at an older age, suggesting a predictive ability of non-HDL-C over the long term. Consequently, non-HDL-C is recommended as a secondary goal for dyslipidemia management by most international guidelines. Intriguingly, geographical patterns in recent epidemiological studies showed remarkably high non-HDL-C attributable mortality in high-risk countries. This review highlights the independent role of non-HDL-C in ASCVD pathogenesis and prognosis. In addition, the need for a country-specific approach to dyslipidemia management at the community/population level is discussed. Overall, non-HDL-C can become a co-primary or primary goal in dyslipidemia management.

The U-shaped association of non-high-density lipoprotein cholesterol with all-cause and cardiovascular mortality in general adult population

Background

Non-high-density lipoprotein cholesterol (non-HDL-C) has been associated with atherosclerosis. However, the association between non-HDL-C and mortality in adult population remains unclear. We intended to investigate the association of non-HDL-C with cardiovascular and all-cause mortality using national representative data.

Methods

The study included 32,405 participants from the National Health and Nutrition Examination Survey (1999-2014). Mortality outcomes were ascertained by linkage to National Death Index records through December 31, 2015. Multivariable-adjusted Cox regression models were used to evaluate hazard ratio (HR) and 95% confidence interval (CI) of non-HDL-C concentrations in quintiles. Two-piecewise linear regression and restricted cubic spline analyzes were performed to test dose-response associations.

Results

After a median follow-up of 98.40  months, 2,859 (8.82%) all-cause and 551 (1.70%) cardiovascular deaths occurred. Compared with the highest group, the multivariable-adjusted hazard ratio (HR) of the first quintile for all-cause mortality was 1.53 (95%CI, 1.35-1.74). Higher non-HDL-C above a cutoff value of 4.9 mmol/L was related with cardiovascular mortality (HR = 1.33, 95%CI, 1.13-1.57). A U-shaped relationship between non-HDL-C and all-cause mortality was found in spline analysis with a cutoff value around 4 mmol/L. Similar results in subgroups analyzes were found among male, non-white population, participants who were not taking lipid-lowering drugs, and with body mass index (BMI) <25 kg/m².

Conclusion

Our findings suggest a U-shaped association between non-HDL-C and mortality among adult population.

Residual Atherosclerotic Cardiovascular Disease Risk: Focus on Non-High-Density Lipoprotein Cholesterol

Cardiovascular disease (CVD) caused by atherosclerosis is the leading cause of death worldwide. The level of low-density lipoprotein cholesterol (LDL-C), considered as the initiator of atherosclerosis, is the most widely used predictor for CVD risk and LDL-C has been the primary target for lipid-lowering therapies. However, residual CVD risk remains high even with very low levels of LDL-C. This residual CVD risk may be due to remnant cholesterol, high triglyceride levels, and low high-density lipoprotein cholesterol (HDL-C). Non-high density lipoprotein cholesterol (non-HDL-C), which is calculated as total cholesterol minus HDL-C (and represents the cholesterol content of all atherogenic apolipoprotein B-containing lipoproteins), has emerged as a better risk predictor for CVD than LDL-C and an alternative target for CVD risk reduction. Major international guidelines recommend evaluating non-HDL-C as part of atherosclerotic CVD risk assessment, especially in people with high triglycerides, diabetes, obesity, or very low LDL-C. A non-HDL-C target of <130 mg/dL (3.4 mmol/L) has been recommended for patients at very high risk, which is 30 mg/dL (0.8 mmol/L) higher than the corresponding LDL-C target goal. Non-HDL-C lowering approaches include reducing LDL-C and triglyceride levels, increasing HDL-C, or targeting multiple risk factors simultaneously. However, despite the growing evidence for the role of non-HDL-C in residual CVD risk, and recommendations for its assessment in major guidelines, non-HDL-C testing is not routinely done in clinical practice. Thus, there is a need for increased awareness of the need for non-HDL-C testing for ascertaining CVD risk and concomitant prevention of CVD.

Lipids in Atherosclerosis: Pathophysiology and the Role of Calculated Lipid Indices in Assessing Cardiovascular Risk in Patients with Hyperlipidemia

The role of lipids is essential in any phase of the atherosclerotic process, which is considered a chronic lipid-related and inflammatory condition. The traditional lipid profile (including the evaluation of total cholesterol, triglycerides, high-density lipoprotein, and low-density lipoprotein) is a well-established tool to assess the risk of atherosclerosis and as such has been widely used as a pillar of cardiovascular disease prevention and as a target of pharmacological treatments in clinical practice over the last decades. However, other non-traditional lipids have emerged as possible alternative predictors of cardiometabolic risk in addition to traditional single or panel lipids, as they better reflect the overall interaction between lipid/lipoprotein fractions. Therefore, this review deals with the lipid involvement characterizing the pathophysiology of atherosclerosis, discussing some recently proposed non-traditional lipid indices and, in the light of available knowledge, their actual potential as new additive tools to better stratify cardiovascular risk in patients with hyperlipidemia as well as possible therapeutic targets in the clinical practice.

U-Shaped Relationship of Non-HDL Cholesterol With All-Cause and Cardiovascular Mortality in Men Without Statin Therapy

Background

Non-HDL-C is well established causal risk factor for the progression of atherosclerotic cardiovascular disease. However, there remains a controversial pattern of how non-HDL-C relates to all-cause and cardiovascular mortality, and the concentration of non-HDL-C where the risk of mortality is lowest is not defined.

Methods

A population-based cohort study using data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014. Male participants without statin therapy were divided into the six groups according to non-HDL-C levels (<100, 100–129, 130–159, 160–189, 190–219, ≥220 mg/dl). Multivariable Cox proportional hazards models were conducted with a hazard ratio (HR) and corresponding 95% confidence interval (CI). To further explore the relationship between non-HDL-C and mortality, Kaplan–Meier survival curves, restricted cubic spline curves, and subgroup analysis were performed.

Results

Among 12,574 individuals (average age 44.29 ± 16.37 years), 1,174(9.34%) deaths during a median follow-up 98.38 months. Both low and high non-HDL-C levels were significantly associated with increased risk of all-cause and cardiovascular mortality, indicating a U-shaped association. Threshold values were detected at 144 mg/dl for all-cause mortality and 142 mg/dl for cardiovascular mortality. Below the threshold, per 30 mg/dl increase in non-HDL-C reduced a 28 and 40% increased risk of all-cause (p < 0.0001) and cardiovascular mortality (p = 0.0037), respectively. Inversely, above the threshold, per 30 mg/dl increase in non-HDL-C accelerated risk of both all-cause mortality (HR 1.11, 95% CI 1.03–1.20, p = 0.0057) and cardiovascular mortality (HR 1.30, 95% CI 1.09–1.54, p = 0.0028).

Conclusions

Non-HDL-C was U-shaped related to all-cause and cardiovascular mortality among men without statin therapy.

The relationship of mesencephalic astrocyte-derived neurotrophic factor with hyperlipidemia in patients with or without type 2 diabetes mellitus

PURPOSE

This study was conducted to determine the relationship between mesencephalic astrocyte-derived neurotrophic factor (MANF) and lipid metabolism with or without type 2 diabetes mellitus (T2DM).

METHODS

Human serum samples were collected from 58 normal controls (NC), 40 subjects with hyperlipidemia (HLD) without T2DM, and 42 subjects with HLD and T2DM. Their MANF levels were detected using an enzyme-linked immunosorbent assay (ELISA). Subgroup analysis was performed in the group with HLD and T2DM based on fasting blood glucose (FBG) > 8.22 vs. FBG ≤ 8.22. Furthermore, the relationship between MANF levels and lipid indices was analyzed.

RESULTS

Serum MANF levels were found to be significantly higher in the HLD group, both with and without T2DM (5.62 (3.59-7.11) and 4.21 (2.87-6.11)), both P < 0.001, than in the NC (2.81(1.81-4.01). MANF levels were higher in those with FBG > 8.22 than that in those with FBG ≤ 8.22. In addition, in the HLD without T2DM group, MANF levels were negatively correlated with total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and age, while LDL-C and age were independently related to MANF levels. The area under the curve (AUC) in the ROC analysis of MANF for the diagnosis of HLD without T2DM and HLD with T2DM was 0.709 and 0.841, respectively (P < 0.001).

CONCLUSION

Serum MANF levels increased in the HLD with or without T2DM groups and was associated with lipid and glucose metabolism. MANF may be a useful marker for predicting the development of dyslipidemia in T2DM.

The U-Shaped Association of Non-High-Density Lipoprotein Cholesterol Levels With All-Cause and Cardiovascular Mortality Among Patients With Hypertension

Background: Non-high-density lipoprotein cholesterol (non-HDL-C) is a valuable indicator in routine blood lipid tests, but the associations of non-HDL-C with mortality in hypertensive population still remain uncertain.

Methods: In the National Health and Nutrition Examination Surveys from 1999 to 2014, participants having hypertension were included and grouped by non-HDL-C levels (<130, 130–159, 160–189, 190–219, and ≥220 mg/dl). Multivariate Cox regression was conducted for calculation of hazard ratios (HR) and 95% confidence interval (CI). To reveal the relationship between non-HDL-C and mortality, Kaplan–Meier survival curves, restricted cubic spline, linear regression, and subgroup analysis were also applied.

Results: A total of 12,169 participants (47.52% males, mean age 57.27 ± 15.79 years) were included. During average follow-up of 92.5 months, 1,946 (15.99%) all-cause deaths and 422 (3.47%) cardiovascular deaths occurred. After adjusting for confounders, the association of non-HDL-C with mortality was detected as U-shaped. Threshold values were observed at 158 mg/dl for all-cause mortality and 190 mg/dl as to cardiovascular mortality. Below the threshold, every 10 mg/dl increment in non-HDL-C attributed to relatively low all-cause mortality significantly (HR = 0.94, 95% CI: 0.92–0.96). Above the threshold, non-HDL-C has significant positive associations with both all-cause (HR = 1.03, 95% CI: 1.01–1.05) and cardiovascular mortality (HR = 1.09, 95% CI: 1.05–1.14). For subgroups analysis, similar results were found among participants age <65 years old, non-white population, those were not taking lipid-lowering drugs, and subjects with body mass index (BMI) ≥25 kg/m².

Conclusion: The U-shaped association was detected between non-HDL-C and mortality among hypertensive population.

Non-High-Density Lipoprotein Cholesterol Predicts Adverse Outcomes in Acute Ischemic Stroke

[Figure: see text].

Effects of regular exercise on inflammatory biomarkers and lipid parameters in soccer players

Since chronic dyslipidemia and inflammation play a major role in the etiopathogenesis of atherosclerotic plaque, we investigated the effects of a 7-week exercise on the serum lipid profile, plasma atherogenic index (PAI), and inflammatory biomarkers interleukin (IL), tumor necrosis factor (TNF)-α, and monocyte chemoattractant protein (MCP)-1 in male soccer players. Methods: The participants in this study were 22 healthy male soccer players aged 19-25 years. IL-1β, IL-6, IL-10, TNF-a, MCP-1, and lipid profile were recorded before and after the program. PAI was calculated as log (TG/HDL-C), where TG is triglyceride and HDL-C is high-density lipoprotein cholesterol. Results: There were significant decreases in post-exercise IL-6, TNF-α, and MCP-1 (for all, p< .05). Compared to the pretest values, there were significant decreases in posttest total cholesterol (TC), TGs, low-density lipoprotein (LDL), non- high-density lipoprotein cholesterol (non-HDL-C), and PAI (for all, p< .05). In contrast, HDL-C values increased after exercise (p< .001). After exercise training TC, TGs, LDL-C, non-HDL-C, and PAI decreased and HDL-C increased, indicating improvement in parameters of dyslipidemia. The decreases in IL-6, TNF-α, and MCP-1 suggest a decrease in systemic inflammation.

Association between serum non-high-density lipoprotein cholesterol and cognitive dysfunction after acute ischemic stroke: a cross-sectional study

This study aimed to explore the association between serum non-high-density lipoprotein cholesterol (non-HDL-C) and cognitive dysfunction risk in patients with acute ischemic stroke (AIS). This cross-sectional study enrolled 583 AIS patients. Biochemical markers and lipid profile were collected after admission. AIS patients were classified into high group (non-HDL-C ≥3.4 mM) and normal group (non-HDL-C <3.4 mM). Mini-Mental State Examination scale (MMSE), Montreal Cognitive Assessment scale (MoCA), Activities of Daily Living (ADL) scale, Neuropsychiatric Inventory (NPI), and Hamilton Depression scale 21 version (HAMD-21) were applied on the third day after admission. Compared with the control group, patients of the high group had higher body mass index and higher frequency of intracranial artery stenosis, and exhibited higher levels of non-HDL-C, total cholesterol, triglycerides, low-density lipoprotein cholesterol, homocysteine, fasting blood glucose, and glycosylated hemoglobin (HbA1c), and lower levels of high-density lipoprotein cholesterol (all P<0.05). Compared with the control group, patients of the high group had significantly lower MMSE and MoCA scores (MMSE: 26.01±4.17 vs 23.12±4.73, P<0.001; MoCA: 22.28±5.28 vs 20.25±5.87, P<0.001) and higher scores on the NPI and HAMD-21 (both P<0.001). MMSE (r=-0.306, P<0.001) and MoCA scores (r=-0.251, P<0.001) were negatively associated with non-HDL-C level. Multivariate regression analysis revealed that non-HDL-C level (OR=1.361, 95%CI: 1.059-1.729, P=0.016) was independently associated with the presence of cognitive dysfunction after adjusting for confounding factors. High serum non-HDL-C level might significantly increase the risk of cognitive dysfunction after AIS.

Prediction of recurrent event in patients with coronary heart disease: the EUROASPIRE Risk Model

AIMS

Most patients with established atherosclerotic cardiovascular disease (CVD) are at very high risk for developing recurrent events. Since this risk varies a lot between patients there is a need to identify those in whom an even more intensive secondary prevention strategy should be envisaged. Using data from the EUROASPIRE IV and V cohorts of coronary heart disease (CHD) patients from 27 European countries, we aimed at developing and internally and externally validating a risk model predicting recurrent CVD events in patients aged < 75 years.

METHODS AND RESULTS

Prospective data were available for 12 484 patients after a median follow-up time of 1.7 years. The primary endpoint, a composite of fatal CVD or new hospitalizations for non-fatal myocardial infarction (MI), stroke, heart failure, coronary artery bypass graft, or percutaneous coronary intervention (PCI), occurred in 1424 patients. The model was developed based on data from 8000 randomly selected patients in whom the association between potential risk factors and the incidence of the primary endpoint was investigated. This model was then validated in the remaining 4484 patients. The final multivariate model revealed a higher risk for the primary endpoint with increasing age, a previous hospitalization for stroke, heart failure or PCI, a previous diagnosis of peripheral artery disease, self-reported diabetes and its glycaemic control, higher non-high-density lipoprotein cholesterol, reduced renal function, symptoms of depression and anxiety and living in a higher risk country. The model demonstrated excellent internal validity and proved very adequate in the validation cohort. Regarding external validity, the model demonstrated good discriminative ability in 20 148 MI patients participating in the SWEDEHEART register. Finally, we developed a risk calculator to estimate risks at 1 and 2 years for patients with stable CHD.

CONCLUSION

In patients with CHD, fatal and non-fatal rates of recurrent CVD events are high. However, there are still opportunities to optimize their management in order to prevent further disease or death. The EUROASPIRE Risk Calculator may be of help to reach this goal.

Non-HDL Cholesterol or apoB: Which to Prefer as a Target for the Prevention of Atherosclerotic Cardiovascular Disease?

PURPOSE OF REVIEW

Guidelines propose using non-HDL cholesterol or apolipoprotein (apo) B as a secondary treatment target to reduce residual cardiovascular risk of LDL-targeted therapies. This review summarizes the strengths, weaknesses, opportunities, and threats (SWOT) of using apoB compared with non-HDL cholesterol.

RECENT FINDINGS

Non-HDL cholesterol, calculated as total-HDL cholesterol, includes the assessment of remnant lipoprotein cholesterol, an additional risk factor independent of LDL cholesterol. ApoB is a direct measure of circulating numbers of atherogenic lipoproteins, and its measurement can be standardized across laboratories worldwide. Discordance analysis of non-HDL cholesterol versus apoB demonstrates that apoB is the more accurate marker of cardiovascular risk. Baseline and on-treatment apoB can identify elevated numbers of small cholesterol-depleted LDL particles that are not reflected by LDL and non-HDL cholesterol. ApoB is superior to non-HDL cholesterol as a secondary target in patients with mild-to-moderate hypertriglyceridemia (175-880 mg/dL), diabetes, obesity or metabolic syndrome, or very low LDL cholesterol < 70 mg/dL. When apoB is not available, non-HDL cholesterol should be used to supplement LDLC.

CAUSES, mortality rates and risk factors of death in community-dwelling Europeans aged 50 years and over: Results from the Survey of Health, Ageing and Retirement in Europe 2013-2015

OBJECTIVE

To determine mortality rates and to rank the causes and predictors of mortality using a wide range of sociodemographic and clinical variables.

MATERIALS AND METHODS

It is a prospective population-based cohort study of adults living in the community, 2013-15 N = 48,691, age ≥50; deceased = 1,944. Clinical and sociodemographic data were obtained from the Survey of Health, Ageing and Retirement in Europe SHARE: Age, Gender, Marital Status, Years of Schooling, Income, Loneliness, Cognition, Self-Rated Health, Diseases, Activities of daily living ADL, and Frailty. Mortality rates were calculated. A Cox proportional hazards model were used to determine risk-adjusted mortality ratios.

RESULTS

The crude mortality rate was 18.39 (1000 person-years at risk), (99 % CI, 18.37-18.42). The factors most associated with an increased mortality risk were older age, lower self-rated health, lower cognition, male gender, ADL deficits, higher comorbidity, frailty and loneliness. The diseases with a higher mortality risk were: cancer (Hazard ratio, HR = 2.67), dementia (HR = 2.19), depressive symptoms (HR = 2.10), fractures (hip, femur) (HR = 1.57), stroke (HR = 1.55), chronic lung disease (HR = 1.52), diabetes (HR = 1.36) and heart attack (HR = 1.21).

CONCLUSIONS

The main mortality risk factors, associated independently in the eight diseases were: older age, poor self-rated health, ADL deficits, male gender, lower cognition, comorbidity and the presence of depressive symptoms, with a different influence in the European regions. The need to evaluate and treat the depressive symptoms that accompanies diseases with higher risk of mortality is stressed.

Effect of Evolocumab on Non-High-Density Lipoprotein Cholesterol, Apolipoprotein B, and Lipoprotein(a): A Pooled Analysis of Phase 2 and Phase 3 Studies

Background

Dyslipidemia guidelines recommend non‐high‐density lipoprotein cholesterol (non‐HDL‐C) and apolipoprotein B (ApoB) as additional targets of therapy and consider lipoprotein(a) a significant cardiovascular risk marker. The current analysis evaluates the effects of evolocumab on these parameters in various patient populations over time.

Methods and Results

Data from 7690 patients, 4943 of whom received at least 1 dose of evolocumab, in 15 phase 2 and phase 3 studies with a duration ranging from 12 weeks to 5 years were pooled based on study length, patient population, and ezetimibe or placebo comparator groups. Patients could receive intensive statin therapy but not in the statin intolerance and monotherapy studies. The effects of evolocumab on percent change from baseline for non‐HDL‐C, ApoB, and lipoprotein(a) and achievement of treatment goals for non‐HDL‐C and ApoB were examined. Compared with placebo, evolocumab at both approved dosing regimens substantially reduced mean non‐HDL‐C (Q2W dose: −49% to −56%, monthly dose: −48% to −52%), mean ApoB (Q2W dose: −46% to −52%, monthly dose: −40% to −48%), and median lipoprotein(a) (Q2W dose: −22% to −38%, monthly dose: −20% to −33%) at 12 weeks. Effects on all 3 parameters persisted over 5 years. Lipid‐lowering effects were consistent among the patient populations examined (hypercholesterolemia/mixed dyslipidemia, statin intolerance, heterozygous familial hypercholesterolemia, and type 2 diabetes mellitus).

Conclusions

In this pooled analysis, evolocumab substantially reduced non‐HDL‐C, ApoB, and lipoprotein(a) compared with placebo. The effect was consistent and maintained in various patient populations over 5 years.

Regulation of angiopoietin-like protein 8 expression under different nutritional and metabolic status

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease with increasing prevalence worldwide. Angiopoietin-like protein 8 (ANGPTL8), a member of the angiopoietin-like protein family, is involved in glucose metabolism, lipid metabolism, and energy homeostasis and believed to be associated with T2DM. Expression levels of ANGPTL8 are often significantly altered in metabolic diseases, such as non-alcoholic fatty liver disease (NAFLD) and diabetes mellitus. Studies have shown that ANGPTL8, together with other members of this protein family, such as angiopoietin-like protein 3 (ANGPTL3) and angiopoietin-like protein 4 (ANGPTL4), regulates the activity of lipoprotein lipase (LPL), thereby participating in the regulation of triglyceride related lipoproteins (TRLs). In addition, members of the angiopoietin-like protein family are varyingly expressed among different tissues and respond differently under diverse nutritional and metabolic status. These findings may provide new options for the diagnosis and treatment of diabetes, metabolic syndromes and other diseases. In this review, the interaction between ANGPTL8 and ANGPTL3 or ANGPTL4, and the differential expression of ANGPTL8 responding to different nutritional and metabolic status during the regulation of LPL activity were reviewed.

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.

Association between non-HDL-C/HDL-C ratio and carotid atherosclerosis in postmenopausal middle-aged women

Background: A novel lipid relation, the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol (non-HDL-C/HDL-C) ratio gathers information on all atherogenic and antiatherogenic particles on a single date. The relationship between this lipid marker and the presence of carotid atherosclerotic plaque (CAP) in postmenopausal women is unknown. Methods: Postmenopausal women in primary prevention up to 70 years of age were recruited. Association between the non-HDL-C/HDL-C ratio and presence of CAP, assessed by ultrasonography, was analyzed. Receiver operating characteristic (ROC) curve analysis was performed. Results: A total of 440 females with a mean age of 58.1 ± 5.3 years were recruited. The mean non-HDL-C/HDL ratio was 3.1 ± 1.2 and 28.2% of woman had CAP. A positive relationship was seen between quintiles of the non-HDL-C/HDL-C ratio and prevalence of CAP (p < 0.001). Regardless of other risk factors, women with higher non-HDL-C/HDL-C ratios had a greater chance of having CAP (odds ratio 1.30, 95% confidence interval: 1.07-1.58, p = 0.009). In the ROC curve analysis, the area under the curve of the non-HDL-C/HDL ratio for detecting CAP was 0.703 (95% confidence interval: 0.640-0.765) and the optimal cut-off point was 3.0 (Youden index 0.395). Conclusion: The present study suggests that the non-HDL-C/HDL-C ratio might be a strong marker for predicting the risk of CAP in postmenopausal women.

Type D Personality as a Risk Factor in Coronary Heart Disease: a Review of Current Evidence

PURPOSE OF THE REVIEW

This review article synthesizes recent research findings on the psychological context of Type D personality and the mechanisms through which Type D affects disease progression and prognosis among patients with coronary heart disease (CHD).

RECENT FINDINGS

One in four patients with CHD has a Distressed (Type D) personality, which is characterized by two stable traits: social inhibition and negative affectivity. Type D personality predicts increased mortality and morbidity burden, and poorer health-related quality of life. Type D is part of a family of psychosocial risk factors that affect CHD prognosis. The pattern of co-occurrence of these psychosocial factors and intra-individual differences in psychosocial profiles may affect risk prediction accuracy. Multiple biological and behavioral processes have been associated with Type D personality. Identifying pathways explaining the observed associations between Type D personality and CHD is important to improve etiological and pathophysiological knowledge and to design personalized interventions, and targeting specific risk-associated pathways.

Association between circulating full-length angiopoietin-like protein 8 and non-high-density lipoprotein cholesterol levels in Chinese non-diabetic individuals: a cross-sectional study

Background

Angiopoietin-like protein 8 (ANGPTL8) is a novel hormone involved in the regulation of lipid metabolism and glucose homeostasis. There are inconsistent results regarding the association between ANGPTL8 and lipids in humans. We aimed to investigate the associations between ANGPTL8 and lipids in people without diabetes.

Methods

This was a cross-sectional study of 107 patients with dyslipidemia and 141 patients without. Dyslipidemia diagnosis was based on Chinese guidelines for the prevention and treatment of dyslipidemia in adults. Total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol (HDL-C) were examined. Non-HDL-C was calculated by subtracting HDL-C from TC. Circulating full-length ANGPTL8 concentrations were measured using enzyme-linked immunosorbent assay. Associations between log-transformed circulating full-length ANGPTL8 and serum lipids were examined using multivariate linear regression analysis.

Results

Circulating ANGPTL8 concentrations were significantly elevated in patients with dyslipidemia compared with patients without dyslipidemia. Circulating full-length ANGPTL8 concentrations were positively associated with non-HDL-C, TG and TC levels after adjusting for age, gender, body mass index, high-sensitivity C-reactive protein, alanine aminotransferase, and creatinine.

Conclusion

In people without diabetes, circulating full-length ANGPTL8 concentrations in patients with dyslipidemia were significantly elevated compared with non-dyslipidemia, and ANGPTL8 was positively associated with serum non-HDL-C levels.

Electronic supplementary material

The online version of this article (10.1186/s12944-018-0802-9) contains supplementary material, which is available to authorized users.

Present therapeutic role of cholesteryl ester transfer protein inhibitors

Therapeutic interventions aimed at increasing high-density lipoprotein (HDL) levels in order to reduce the residual cardiovascular (CV) risk of optimally drug treated patients have not provided convincing results, so far. Transfer of cholesterol from extrahepatic tissues to the liver appears to be the major atheroprotective function of HDL, and an elevation of HDL levels could represent an effective strategy. Inhibition of the cholesteryl ester transfer protein (CETP), raising HDL-cholesterol (HDL-C) and apolipoprotein A-I (apoA-I) levels, reduces low-density lipoprotein-cholesterol (LDL-C) and apoB levels, thus offering a promising approach. Despite the beneficial influence on cholesterol metabolism, off-target effects and lack of reduction in CV events and mortality (with torcetrapib, dalcetrapib and evacetrapib) highlighted the complex mechanism of CETP inhibition. After the failure of the above mentioned inhibitors in phase III clinical development, possibly due to the short duration of the trials masking benefit, the secondary prevention REVEAL trial has recently shown that the inhibitor anacetrapib significantly raised HDL-C (+104%), reduced LDL-C (-18%), with a protective effect on major coronary events (RR, 0.91; 95%CI, 0.85-0.97; p = 0.004). Whether LDL-C lowering fully accounts for the CV benefit or if HDL-C-rise is a crucial factor still needs to be determined, although the reduction of non-HDL (-18%) and Lp(a) (-25%), should be also taken into account. In spite of the positive results of the REVEAL Study, Merck decided not to proceed in asking regulatory approval for anacetrapib. Dalcetrapib (Dal-GenE study) and CKD-519 remain the two molecules within this area still in clinical development.

Meta-analysis of serum non-high-density lipoprotein cholesterol and risk of coronary heart disease in the general population

BACKGROUND

Non-high-density lipoprotein cholesterol (non-HDL-C) has been proposed an independent risk factor for coronary heart disease (CHD). However, the magnitude of this association in the general population varied considerably.

OBJECTIVE

To investigate the association of baseline non-HDL-C level with CHD risk in the general population by conducting a meta-analysis.

METHODS

A comprehensive literature search was performed in the Pubmed and Embase until January 2017. Prospective observational studies that investigated the association between baseline non-HDL-C level and CHD risk in the general population were included. Pooled hazard ratio (HR) and corresponding 95% confidence interval (CI) were calculated for the highest vs. the lowest non-HDL-C category.

RESULTS

Seven articles with 9 independent prospective studies involving 448,732 individuals were included. Meta-analysis showed that individuals with the highest non-HDL-C level at baseline were associated with greater risk of CHD (RR 1.79; 95% CI 1.68-1.91) than those in the lowest non-HDL-C level category. Subgroup analysis suggested that the risk of CHD seemed more pronounced among men (HR 1.98; 95% CI 1.70-2.30) than among women (HR 1.63; 95% CI 1.35-1.96).

CONCLUSIONS

Higher baseline non-HDL-C level is associated with increased risk of CHD in the general population. This risk seems more pronounced in men than in women. However, gender difference in non-HDL-C level associated with CHD risk should be verified by more well-designed prospective studies.