Association of atherogenic index of plasma and triglyceride glucose-body mass index and sarcopenia in adults from 20 to 59: a cross-sectional study.

Background: The relationship between atherogenic index of plasma (AIP) and triglyceride glucose-body mass index (TyG-BMI) and sarcopenia has not been studied in the United States (US) population. Methods: This research included 4,835 people from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. The relationship between sarcopenia and TyG-BMI, as well as the AIP index, was examined through the utilization of restricted cubic spline (RCS) analysis, subgroup analysis, and multivariate logistic regression analysis. Diagnostic value of AIP and TyG-BMI for sarcopenia was compared by receiver operating characteristic (ROC) curves. Results: In this research, 428 people with sarcopenia were identified among the 4,835 subjects that were included in the experiment. AIP and sarcopenia were positively associated with an odds ratio (OR) of 1.58 and a 95% confidence interval (CI) of (1.07, 2.34) on fully adjusted multivariate logistic regression analysis. Similarly, TyG-BMI and sarcopenia were positively associated with an OR of 8.83 and a 95% CI of (5.46, 14.26). AIP and sarcopenia had a non-linear positive connection (P-value<0.001, P-Nonlinear=0.010), while TyG-BMI and sarcopenia had a linear positive correlation (P-value<0.001, P-Nonlinear=0.064), according to RCS analysis. Subgroup analyses showed a significant interaction between TyG-BMI and sarcopenia due to gender (P = 0.023). ROC curves showed that TyG-BMI (AUC:0.738, 95% CI: 0.714 - 0.761) was more useful than AIP (AUC:0.648, 95% CI: 0.622 - 0.673) in diagnosing sarcopenia. Conclusion: In US adults aged 20-59 years, our study revealed a correlation between elevated AIP and TyG-BMI levels and heightened sarcopenia risk. Moreover, TyG-BMI has better diagnostic validity than AIP.

ADLM Guidance Document on the Measurement and Reporting of Lipids and Lipoproteins.

BACKGROUND: The accurate measurement of blood lipids and lipoproteins is crucial for the clinical management of atherosclerotic disease risk. Despite progress in standardization, there are still significant variations in pre-analytical requirements, methods, nomenclature, and reporting work flows. CONTENT: The guidance document aims to improve standardization of clinical lipid testing work flows. It provides recommendations for the components of the lipid panel, fasting requirements, reporting of results, and specific recommendations for non-high-density lipoprotein cholesterol (non-HDL-C), low-density lipoprotein cholesterol (LDL-C), lipoprotein(a) [Lp(a)], apolipoprotein B (apo B), point-of-care lipid testing, and LDL subfraction testing. SUMMARY: Lipid panels should always report non-HDL-C and LDL-C calculations if possible. Fasting is not routinely required except in specific cases. Modern equations should be utilized for LDL-C calculation. These equations allow for LDL-C reporting at elevated concentrations of triglycerides and obviate the need for direct measured LDL-C in most cases.

Assessment of Lipoprotein (a) Levels in Patients with Atherosclerotic Cardiovascular Disease: Single Center Experience from Türkiye.

OBJECTIVE: This study aims to evaluate the role of elevated lipoprotein (a) [Lp(a)] levels as a potential contributor to residual risk in individuals with atherosclerotic cardiovascular disease (ASCVD). Considering that approximately 90% of Lp(a) levels are genetically determined and can vary regionally, we assessed Lp(a) levels in a cohort of ASCVD patients from the Turkish population, where data is currently limited. METHODS: We conducted a retrospective analysis of data and Lp(a) measurements collected from individuals diagnosed with ASCVD at a single center. RESULTS: The analysis included Lp(a) levels of 1193 consecutive individuals. The mean Lp(a) level was 28.2 mg/dL, with a median of 16 mg/dL and an interquartile range (IQR) from the 25th to the 75th percentile, 7 mg/dL to 39 mg/dL. The highest recorded Lp(a) level was 326 mg/dL. Among the cases, 18.7% exhibited Lp(a) levels ≥ 50 mg/dL, 10.8% had levels ≥ 70 mg/dL, and 5.8% had levels ≥ 90 mg/dL. The mean levels of low-density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) were 132 ± 47 mg/dL and 212 ± 54 mg/dL, respectively. Lp(a) levels were significantly higher in females compared to males. Furthermore, the proportion of females with Lp(a) levels ≥ 90 mg/dL was higher than in males (11.4% vs. 1.4%; P < 0.01). Additionally, a modest but significant correlation was observed between Lp(a) levels and TC (r = 0.075, P = 0.01) as well as LDL-C (r = 0.106, P < 0.01). CONCLUSION: This study revealed that Lp(a) concentrations were higher in women and statin users among ASCVD patients and identified a weak but significant correlation between Lp(a) levels and both TC and LDL-C.

Association between the atherogenic index of plasma and abdominal aortic calcification in adults: a cross-sectional study.

BACKGROUND: Atherogenic index of plasma (AIP) index is an important marker of insulin resistance and a significant risk factor for cardiovascular disease. Abdominal aortic calcification (AAC) is significantly associated with subclinical atherosclerotic disease. However, there are no studies that have examined the relationship between AIP index and AAC, so we investigated the potential association between them in the general population. METHODS: This was a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES, 2013-2014). The association of AIP with AAC was estimated by multivariable regression analysis. RESULTS: After adjusting for confounders, the odds of extensive AAC doubled per unit increase in the AIP index (OR = 2.00, 95% CI: 1.05, 3.83; P = 0.035). The multivariable OR and 95% CI of the highest AIP index tertile compared with the lowest tertile was significantly different. (OR = 1.73, 95% CI: 1.05, 2.83; P = 0.031). The subgroup analyses indicated that the association was consistent irrespective of age, sex, hypertension, diabetes, smoking status, eGFR and hypercholesteremia. CONCLUSIONS: The AIP index was independently associated with the presence of extensive AAC in the study population. Further studies are required to confirm this relationship.

Causal Association of Golgi Protein 73 With Coronary Artery Disease: Evidence from Proteomics and Mendelian Randomization.

Background: Identification of the unknown pathogenic factor driving atherosclerosis not only enhances the development of disease biomarkers but also facilitates the discovery of new therapeutic targets, thus contributing to the improved management of coronary artery disease (CAD). We aimed to identify causative protein biomarkers in CAD etiology based on proteomics and 2-sample Mendelian randomization (MR) design. Methods: Serum samples from 33 first-onset CAD patients and 31 non-CAD controls were collected and detected using protein array. Differentially expressed analyses were used to identify candidate proteins for causal inference. We used 2-sample MR to detect the causal associations between the candidate proteins and CAD. Network MR was performed to explore whether metabolic risk factors for CAD mediated the risk of identified protein. Vascular expression of candidate protein in situ was also detected. Results: Among the differentially expressed proteins identified utilizing proteomics, we found that circulating Golgi protein 73 (GP73) was causally associated with incident CAD and other atherosclerotic events sharing similar etiology. Network MR approach showed low-density lipoprotein cholesterol and glycated hemoglobin serve as mediators in the causal pathway, transmitting 42.1% and 8.7% effects from GP73 to CAD, respectively. Apart from the circulating form of GP73, both mouse model and human specimens imply that vascular GP73 expression was also upregulated in atherosclerotic lesions and concomitant with markers of macrophage and phenotypic switching of vascular smooth muscle cells (VSMCs). Conclusions: Our study supported GP73 as a biomarker and causative for CAD. GP73 may involve in CAD pathogenesis mainly via dyslipidemia and hyperglycemia, which may enrich the etiological information and suggest future research direction on CAD.

Prediction of Cumulative Exposure to Atherogenic Lipids During Early Adulthood.

BACKGROUND: The ability of a 1-time measurement of non-high-density lipoprotein cholesterol (non-HDL-C) or low-density lipoprotein cholesterol (LDL-C) to predict the cumulative exposure to these lipids during early adulthood (age 18-40 years) and the associated atherosclerotic cardiovascular disease (ASCVD) risk after age 40 years is not clear. OBJECTIVES: The objectives of this study were to evaluate whether a 1-time measurement of non-HDL-C or LDL-C in a young adult can predict cumulative exposure to these lipids during early adulthood, and to quantify the association between cumulative exposure to non-HDL-C or LDL-C during early adulthood and the risk of ASCVD after age 40 years. METHODS: We included CARDIA (Coronary Artery Risk Development in Young Adults Study) participants who were free of cardiovascular disease before age 40 years, were not taking lipid-lowering medications, and had ≥3 measurements of LDL-C and non-HDL-C before age 40 years. First, we assessed the ability of a 1-time measurement of LDL-C or non-HDL-C obtained between age 18 and 30 years to predict the quartile of cumulative lipid exposure from ages 18 to 40 years. Second, we assessed the associations between quartiles of cumulative lipid exposure from ages 18 to 40 years with ASCVD events (fatal and nonfatal myocardial infarction and stroke) after age 40 years. RESULTS: Of 4,104 CARDIA participants who had multiple lipid measurements before and after age 30 years, 3,995 participants met our inclusion criteria and were in the final analysis set. A 1-time measure of non-HDL-C and LDL-C had excellent discrimination for predicting membership in the top or bottom quartiles of cumulative exposure (AUC: 0.93 for the 4 models). The absolute values of non-HDL-C and LDL-C that predicted membership in the top quartiles with the highest simultaneous sensitivity and specificity (highest Youden's Index) were >135 mg/dL for non-HDL-C and >118 mg/dL for LDL-C; the values that predicted membership in the bottom quartiles were <107 mg/dL for non-HDL-C and <96 mg/dL for LDL-C. Individuals in the top quartile of non-HDL-C and LDL-C exposure had demographic-adjusted HRs of 4.6 (95% CI: 2.84-7.29) and 4.0 (95% CI: 2.50-6.33) for ASCVD events after age 40 years, respectively, when compared with each bottom quartile. CONCLUSIONS: Single measures of non-HDL-C and LDL-C obtained between ages 18 and 30 years are highly predictive of cumulative exposure before age 40 years, which in turn strongly predicts later-life ASCVD events.

Relationship between the atherogenic index of plasma and the prevalence of kidney stones: insights from a population-based cross-sectional study.

OBJECTIVE: To investigate the association between atherogenic index of plasma (AIP) and kidney stones (KS) occurrence and recurrence. METHODS: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) 2007-2014. Non-pregnant adults who provided complete information on AIP and KS were included in the analyses. AIP was calculated as log (triglyceride/high-density lipoprotein cholesterol). KS was ascertained with questionnaires. Weighted multivariable logistic regression model and restricted cubic spline (RCS) were applied to examine the associations between AIP and KS occurrence and recurrence. RESULTS: A total of 6488 subjects (weighted mean age 43.19 years and 49.26% male) with a weighted mean AIP of 0.66 were included in this study. The multivariable-adjusted OR for nephrolithiasis occurrence across consecutive tertiles was 1.00 (reference), 1.21 (95% CI: 0.90-1.62), and 1.85 (95% CI: 1.39-2.48), respectively. Moreover, each SD increment of AIP was associated with a 50% (OR:1.50, 95% CI: 1.25-1.81) higher risk of nephrolithiasis recurrence. RCSs showed significant and linear dose-response relationships between AIP and nephrolithiasis occurrence (p-overall = 0.006, p-nonlinear = 0.689) and recurrence (p-overall = 0.001, p-nonlinear = 0.848). The positive associations between AIP and nephrolithiasis occurrence and recurrence persisted in sensitivity analyses, suggesting the robustness of the results. CONCLUSION: In the current US nationally representative cross-sectional study, AIP was positively associated with KS occurrence and recurrence.

Learning from serum markers reflecting endothelial activation: longitudinal data in childhood-onset systemic lupus erythematosus.

OBJECTIVES: In childhood-onset SLE (cSLE), patients have an increased risk of premature atherosclerosis. The pathophysiological mechanisms for this premature atherosclerosis are not yet completely understood, but besides traditional risk factors, the endothelium plays a major role. The first aim of this study was to measure levels of SLE-associated markers involved in endothelial cell (EC) function and lipids in a cSLE cohort longitudinally in comparison with healthy controls (HC). Next aim was to correlate these levels with Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) and nailfold capillaroscopic patterns. METHODS: Blood serum samples, videocapillaroscopy images and patient characteristics were collected in a multicentre longitudinal cSLE cohort and from age and sex comparable HC. Disease activity was evaluated by SLEDAI. A total of 15 EC markers and six lipids were measured in two longitudinal cSLE samples (minimum interval of 6 months) and in HC. Nailfold videocapillaroscopy images were scored according to the guidelines from the EULAR Study Group on Microcirculation in Rheumatic Diseases. RESULTS: In total, 47 patients with cSLE and 42 HCs were analysed. Median age at diagnosis was 15 years (IQR 12-16 years). Median time between t=1 and t=2 was 14.5 months (IQR 9-24 months). Median SLEDAI was 12 (IQR 6-18) at t=1 and 2 (IQR 1-4) at t=2. Serum levels of angiopoietin-2, CCL2, CXCL10, GAS6, pentraxin-3, thrombomodulin, VCAM-1 and vWF-A2 were elevated in cSLE compared with HC at t=1. While many elevated EC markers at t=1 normalised over time after treatment, several markers remained significantly increased compared with HC (angiopoietin-2, CCL2, CXCL10, GAS6, thrombomodulin and VCAM-1). CONCLUSION: In serum from patients with cSLE different markers of endothelial activation were dysregulated. While most markers normalised during treatment, others remained elevated in a subset of patients, even during low disease activity. These results suggest a role for the dysregulated endothelium in early and later phases of cSLE, possibly also during lower disease activity. TRIAL REGISTRATION NUMBER: NL60885.018.17.

Coronary artery calcification burden, atherogenic index of plasma, and risk of adverse cardiovascular events in the general population: evidence from a mediation analysis.

BACKGROUND: Dyslipidemia and abnormal cholesterol metabolism are closely related to coronary artery calcification (CAC) and are also critical factors in cardiovascular disease death. In recent years, the atherogenic index of plasma (AIP) has been widely used to evaluate vascular sclerosis. This study aimed to investigate the potential association of AIP between CAC and major adverse cardiovascular events (MACEs). METHODS: This study included 1,121 participants whose CACs were measured by multislice spiral CT. Participants' CAC Agatston score, CAC mass, CAC volume, and number of vessels with CACs were assessed. AIP is defined as the base 10 logarithm of the ratio of triglyceride (TG) concentration to high-density lipoprotein-cholesterol (HDL-C) concentration. We investigated the multivariate-adjusted associations between AIP, CAC, and MACEs. The mediating role of the AIP in CAC and MACEs was subsequently discussed. RESULTS: During a median follow-up of 31 months, 74 MACEs were identified. For each additional unit of log-converted CAC, the MACE risk increased by 48% (HR 1.48 [95% CI 1.32-1.65]). For each additional unit of the AIP (multiplied by 10), the MACEs risk increased by 19%. Causal mediation analysis revealed that the AIP played a partial mediating role between CAC (CAC Agatston score, CAC mass) and MACEs, and the mediating proportions were 8.16% and 16.5%, respectively. However, the mediating effect of CAC volume tended to be nonsignificant (P = 0.137). CONCLUSIONS: An increased AIP can be a risk factor for CAC and MACEs. Biomarkers based on lipid ratios are a readily available and low-cost strategy for identifying MACEs and mediating the association between CAC and MACEs. These findings provide a new perspective on CAC treatment, early diagnosis, and prevention of MACEs.

Microplastics are associated with elevated atherosclerotic risk and increased vascular complexity in acute coronary syndrome patients.

BACKGROUND: Microplastics, widely present in the environment, are implicated in disease pathogenesis through oxidative stress and immune modulation. Prevailing research, primarily based on animal and cell studies, falls short in elucidating microplastics' impact on human cardiovascular health. This cross-sectional study detected blood microplastic concentrations in patients presenting with chest pain using pyrolysis-gas chromatography/mass spectrometry and evaluating inflammatory and immune markers through flow cytometry, to explore the potential effects of microplastic on acute coronary syndrome. RESULTS: The study included 101 participants, comprising 19 controls and 82 acute coronary syndrome cases. Notably, acute coronary syndrome patients exhibited elevated microplastic concentrations, with those suffering from acute myocardial infarction presenting higher loads compared to those with unstable angina. Furthermore, patients at intermediate to high risk of coronary artery disease displayed significantly higher microplastic accumulations than their low-risk counterparts. A significant relationship was observed between increased microplastic levels and enhanced IL-6 and IL-12p70 contents, alongside elevated B lymphocyte and natural killer cell counts. CONCLUSION: These results suggest an association between microplastics and both vascular pathology complexity and immunoinflammatory response in acute coronary syndrome, underscoring the critical need for targeted research to delineate the mechanisms of this association. HIGHLIGHTS: 1 Blood microplastic levels escalate from angiographic patency, to angina patients, peaking in myocardial infarction patients. 2 Microplastics in acute coronary syndrome patients are predominantly PE, followed by PVC, PS, and PP. 3 Microplastics may induce immune cell-associated inflammatory responses in acute coronary syndrome patients.

HCC-1 Accelerates Atherosclerosis by Inducing Endothelial Cell and Macrophage Pyroptosis and Serves as an Early Diagnostic Biomarker.

BACKGROUND: HCC-1 (hemofiltrate CC chemokine-1), a CC-type chemokine, exerts function to change intracellular calcium concentration, induce leukocyte, and manipulate enzyme release especially in monocytes. It has been reported that HCC-1 can predict the persistent acute kidney injury or suppress hepatocellular carcinoma by modulating cell cycle and promoting apoptosis; however, the effect of HCC-1 on atherosclerosis is poorly understood. Here, we aimed to clarify the function and mechanism of HCC-1 in atherosclerosis and whether it could serve as a novel biomarker for the diagnosis of atherosclerosis. METHODS: HCC-1 expression in serum, atherosclerotic plaques, and normal arterial tissue from patients with atherosclerosis and control group was assessed by ELISA, immunohistochemistry and confocal microscope, and bioinformatic analysis. The atherosclerotic model of HCC-1 overexpressing and control mice was generated by tail vein injection of adeno-associated virus serotype 9-HCC-1 on an ApoE-/- background. Cell adhesion, polarization, and pyroptosis were evaluated in vitro. The relationship between HCC-1 concentration in serum and atherosclerosis was analyzed in patients with atherosclerosis. RESULTS: HCC-1 expression was positively correlated with the occurrence and stable-unstable switch of atherosclerosis under bioinformatic analysis, which is further supported by the results of increased HCC-1 expression in atherosclerosis patients both in serum and atherosclerotic plaque. adeno-associated virus serotype 9-HCC-1 mice had higher levels of inflammatory factors, increased macrophage accumulation and pyroptotic rate in plaque, and decreased atherosclerotic plaque stability. In vitro, HCC-1 promoted monocyte adhesion and M1 polarization and induced inflammation and pyroptosis both in endothelial cells and macrophages. CONCLUSIONS: HCC-1 expression was increased in patients with atherosclerosis, and HCC-1 overexpression accelerated atherosclerotic burden via an enhancement in monocyte recruitment, M1 polarization, and pyroptosis both in endothelial cells and macrophages. Our findings suggested that HCC-1 may serve as an early biomarker for the diagnosis of atherosclerosis, with the capacity to reflect the degree of stenosis.

Safety and Effectiveness of High-Intensity Statins Versus Low/Moderate-Intensity Statins Plus Ezetimibe in Patients With Atherosclerotic Cardiovascular Disease for Reaching LDL-C Goals: A Systematic Review and Meta-Analysis.

BACKGROUND: It remains controversial whether adding ezetimibe to low/moderate-intensity statins has a more beneficial impact on the treatment efficacy and safety of patients with existing atherosclerotic cardiovascular disease (ASCVD) compared to high-intensity statin regimens. HYPOTHESIS: A combination of low/moderate-intensity statins plus ezetimibe might be more effective and safer than high-intensity statin monotherapy. METHODS: We searched databases for randomized controlled trials comparing lipid profile alterations, drug-related adverse events, and MACE components between high-intensity statin monotherapy and low/moderate-intensity statin plus ezetimibe combination therapy. Pooled risk ratios (RR), mean differences (MD), and 95% confidence intervals (95% CI) were estimated using a random-effects model. RESULTS: Our comprehensive search resulted in 32 studies comprising 6162 patients treated with monotherapy against 5880 patients on combination therapy. Combination therapy was more effective in reducing low-density lipoprotein cholesterol (LDL-C) levels compared to monotherapy (MD = -6.6, 95% CI: -10.6 to -2.5); however, no significant differences were observed in other lipid parameters. Furthermore, the combination therapy group experienced a lower risk of myalgia (RR = 0.27, 95% CI: 0.13-0.57) and discontinuation due to adverse events (RR = 0.61, 95% CI: 0.51-0.74). The occurrence of MACE was similar between the two treatment groups. CONCLUSIONS: Adding ezetimibe to low/moderate-intensity statins resulted in a greater reduction in LDL-C levels, a lower rate of myalgia, and less drug discontinuation compared to high-intensity statin monotherapy in patients with existing cardiovascular disease. However, according to our meta-analysis, the observed reduction in LDL-C levels in the combination group did not correlate with a reduction in MACE compared to the high-intensity statin group.

The Causal Effect of Serum Lipid Levels Mediated by Neuregulin 4 on the Risk of Four Atherosclerosis Subtypes: Evidence from Mendelian Randomization Analysis.

Background: Neuregulin 4 (NRG4) was known to be associated with serum lipid levels and atherosclerosis. However, it is unknown whether the role of NRG4 in lipid homeostasis is causal to atherosclerosis and whether the effect is beneficial across different atherosclerosis subtypes. Methods: We investigated the causal role of the levels of serum low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides regulated by NRG4 in subtypes of atherosclerosis through two sample Mendelian randomization. Aggregated genome-wide association study (GWAS) summary data for serum lipid level of 1.32 million individuals with European ancestry were obtained from the Global Lipids Genetics Consortium. GWAS summary data for four atherosclerosis subtypes (peripheral, coronary, cerebral and the other atherosclerosis) were obtained from FinnGen Consortium. Generalized inverse-variance-weighted Mendelian randomization and several sensitivity analyses were used to obtain the causal estimates. Results: A 1-SD genetically elevated LDL-C level mediated by NRG4 was validated to be nominally associated with the risk of peripheral atherosclerosis (log (odds ratio)= 4.14, 95% confidence interval 0.11 to 8.17, P = 0.04), and the other associations were not significant or could not be validated by sensitivity analyses. Conclusion: LDL-C lowering mediated by NRG4 is likely to prevent peripheral atherosclerosis.

Association between the atherogenic index of plasma trajectory and risk of heart failure among hypertensive patients: a prospective cohort study.

BACKGROUND: The atherogenic index of plasma (AIP) has been shown to be positively correlated with cardiovascular events. However, it remains unclear whether hypertensive patients with long-term high AIP levels are at greater risk of developing heart failure (HF). Therefore, the aim of this study was to investigate the association between AIP trajectory and the incidence of HF in hypertensive patients. METHODS: This prospective study included 22,201 hypertensive patients from the Kailuan Study who underwent three waves of surveys between 2006 and 2010. Participants were free of HF or cancer before or during 2010. The AIP was calculated as the logarithmic conversion ratio of triglycerides to high-density lipoprotein cholesterol. Latent mixed modeling was employed to identify different trajectory patterns for AIP during the exposure period (2006-2010). Cox proportional hazard models were then used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for incident HF among different trajectory groups. RESULTS: Four distinct trajectory patterns were identified through latent mixture modeling analysis: low-stable group (n = 3,373; range, -0.82 to -0.70), moderate-low stable group (n = 12,700; range, -0.12 to -0.09), moderate-high stable group (n = 5,313; range, 0.53 to 0.58), and elevated-increasing group (n = 815; range, 1.22 to 1.56). During a median follow-up period of 9.98 years, a total of 822 hypertensive participants experienced HF. After adjusting for potential confounding factors, compared with those in the low-stable group, the HR and corresponding CI for incident HF in the elevated-increasing group, moderate-high stable group, and moderate-low stable group were estimated to be 1.79 (1.21,2.66), 1.49 (1.17,1.91), and 1.27 (1.02,1.58), respectively. These findings remained consistent across subgroup analyses and sensitivity analyses. CONCLUSION: Prolonged elevation of AIP in hypertensive patients is significantly associated with an increased risk of HF. This finding suggests that regular monitoring of AIP could aid in identifying individuals at a heightened risk of HF within the hypertensive population.

In ASCVD, an inclisiran-first strategy reduced LDL-C levels and statin discontinuation at 330 d.

SOURCE CITATION: Koren MJ, Rodriguez F, East C, et al. An "inclisiran first" strategy vs usual care in patients with atherosclerotic cardiovascular disease. J Am Coll Cardiol. 2024;83:1939-1952. 38593947.

Identification and verification of immune-related genes for diagnosing the progression of atherosclerosis and metabolic syndrome.

BACKGROUND: Atherosclerosis and metabolic syndrome are the main causes of cardiovascular events, but their underlying mechanisms are not clear. In this study, we focused on identifying genes associated with diagnostic biomarkers and effective therapeutic targets associated with these two diseases. METHODS: Transcriptional data sets of atherosclerosis and metabolic syndrome were obtained from GEO database. The differentially expressed genes were analyzed by RStudio software, and the function-rich and protein-protein interactions of the common differentially expressed genes were analyzed.Furthermore, the hub gene was screened by Cytoscape software, and the immune infiltration of hub gens was analyzed. Finally, relevant clinical blood samples were collected for qRT-PCR verification of the three most important hub genes. RESULTS: A total of 1242 differential genes (778 up-regulated genes and 464 down-regulated genes) were screened from GSE28829 data set. A total of 1021 differential genes (492 up-regulated genes and 529 down-regulated genes) were screened from the data set GSE98895. Then 23 up-regulated genes and 11 down-regulated genes were screened by venn diagram. Functional enrichment analysis showed that cytokines and immune activation were involved in the occurrence and development of these two diseases. Through the construction of the Protein-Protein Interaction(PPI) network and Cytoscape software analysis, we finally screened 10 hub genes. The immune infiltration analysis was further improved. The results showed that the infiltration scores of 7 kinds of immune cells in GSE28829 were significantly different among groups (Wilcoxon Test < 0.05), while in GSE98895, the infiltration scores of 4 kinds of immune cells were significantly different between groups (Wilcoxon Test < 0.05). Spearman method was used to analyze the correlation between the expression of 10 key genes and 22 kinds of immune cell infiltration scores in two data sets. The results showed that there were 42 pairs of significant correlations between 10 genes and 22 kinds of immune cells in GSE28829 (|Cor| > 0.3 & P < 0.05). There were 41 pairs of significant correlations between 10 genes and 22 kinds of immune cells in GSE98895 (|Cor| > 0.3 & P < 0.05). Finally, our results identified 10 small molecules with the highest absolute enrichment value, and the three most significant key genes (CX3CR1, TLR5, IL32) were further verified in the data expression matrix and clinical blood samples. CONCLUSION: We have established a co-expression network between atherosclerotic progression and metabolic syndrome, and identified key genes between the two diseases. Through the method of bioinformatics, we finally obtained 10 hub genes in As and MS, and selected 3 of the most significant genes (CX3CR1, IL32, TLR5) for blood PCR verification. This may be helpful to provide new research ideas for the diagnosis and treatment of AS complicated with MS.

Atherogenic lipid profile in patients with statin treatment after acute coronary syndrome: a real-world analysis from Chinese cardiovascular association database.

BACKGROUND: Adverse atherogenic lipid profile is associated with an increased risk of major adverse cardiac events in patients after acute coronary syndrome (ACS). Knowledge regarding the impact of statins on lipid profile remains limited. METHODS: We retrospectively analysed multicenter, real-world data from the Chinese Cardiovascular Association Database-iHeart Project. Patients with a primary diagnosis of ACS from 2014 to 2021 during index hospitalisation and having at least one lipid panel record after discharge within 12 months were enrolled. We analysed target achievement of atherogenic lipid profile, including apolipoprotein B (< 80 mg/dL), low-density lipoprotein cholesterol (LDL-C) (< 1.8 mmol/L), lipoprotein(a) [Lp(a)] (< 30 mg/dL), triglycerides (< 1.7 mmol/L), remnant cholesterol (RC) (< 0.78 mmol/L), non-high-density lipoprotein cholesterol (< 2.6 mmol/L) at baseline and follow-up. Multivariate Cox regression models were employed to investigate the association between patient characteristics and target achievement. RESULTS: Among 4861 patients, the mean age was 64.9 years. Only 7.8% of patients had all atherogenic lipids within the target range at follow-up. The proportion of target achievement was for LDL-C 42.7%, Lp(a) 73.3%, and RC 78.5%. Patients with female sex, younger age, myocardial infarction, hypertension, and hypercholesteremia were less likely to control LDL-C, Lp(a), and RC. An increase in the burden of comorbidities was negatively associated with LDL-C and Lp(a) achievements but not with RC. CONCLUSIONS: A substantial gap exists between lipid control and the targets recommended by contemporary guidelines. Novel therapeutics targeting the whole atherogenic lipid profile will be warranted to improve cardiovascular outcomes.

Characteristics of Patients With Atherosclerotic Cardiovascular Disease in Belgium and Current Treatment Patterns for the Management of Elevated LDL-C Levels.

BACKGROUND: Dyslipidemia remains the major cause of atherosclerotic cardiovascular disease (ASCVD). Lipid management in patients with increased cardiovascular (CV) risk needs improvement across Europe, and data gaps are noticeable at the country level. HYPOTHESIS: We described the current treatment landscape in Belgium, hypothesizing that lipid management in patients with ASCVD remains inadequate and aiming to understand the reasons. METHODS: Using data from an anonymized primary care database in Belgium derived from 494 750 individuals, we identified those with any CV risk factor between November 2019 and October 2022 and described the clinical features of patients with ASCVD. The main outcomes were the proportion of patients (i) receiving lipid-lowering therapies (LLTs), (ii) per low-density lipoprotein cholesterol (LDL-C) threshold, stratified per LLT, (iii) reaching the 2021 ESC recommended LDL-C goals, and (iv) LDL-C reduction per type of LLT was also determined. RESULTS: Among 40 888 patients with very high CV risk, 24 859 had established ASCVD. Most patients with ASCVD were either receiving monotherapy (59.6%) or had no documented LLT (25.1%). Further, 64.2% of those with no documented LLT exhibited LDL-C levels ≥ 100 mg/dL. Among common treatment options, one of the greatest improvements in LDL-C levels was achieved with combination therapy of statin and ezetimibe, reducing LDL-C levels by 41.5% (p < 0.0001). Yet, in this group, 24.8% of patients had still LDL-C levels ≥ 100 mg/dL and only 20.7% were at goal. CONCLUSION: Our study emphasizes the importance of developing strategies to help patients achieve their LDL-C goals, with a focus on supporting the implementation of combination LLT in routine clinical practice.

Thrombin Generation Is Associated With Extracellular Vesicle and Leukocyte Lipid Membranes in Atherosclerotic Cardiovascular Disease.

BACKGROUND: Clotting, leading to thrombosis, requires interactions of coagulation factors with the membrane aminophospholipids (aPLs) phosphatidylserine and phosphatidylethanolamine. Atherosclerotic cardiovascular disease (ASCVD) is associated with elevated thrombotic risk, which is not fully preventable using current therapies. Currently, the contribution of aPL to thrombotic risk in ASCVD is not known. Here, the aPL composition of circulating membranes in ASCVD of varying severity will be characterized along with the contribution of external facing aPL to plasma thrombin generation in patient samples. METHODS: Thrombin generation was measured using a purified factor assay on platelet, leukocyte, and extracellular vesicles (EVs) from patients with acute coronary syndrome (n=24), stable coronary artery disease (n=18), and positive risk factor (n=23) and compared with healthy controls (n=24). aPL composition of resting/activated platelet and leukocytes and EV membranes was determined using lipidomics. RESULTS: External facing aPLs were detected on EVs, platelets, and leukocytes, elevating significantly following cell activation. Thrombin generation was higher on the surface of EVs from patients with acute coronary syndrome than healthy controls, along with increased circulating EV counts. Thrombin generation correlated significantly with externalized EV phosphatidylserine, plasma EV counts, and total EV membrane surface area. In contrast, aPL levels and thrombin generation from leukocytes and platelets were not impacted by disease, although circulating leukocyte counts were higher in patients. CONCLUSIONS: The aPL membrane of EV supports an elevated level of thrombin generation in patient plasma in ASCVD. Leukocytes may also play a role although the platelet membrane did not seem to contribute. Targeting EV formation/clearance and developing strategies to prevent the aPL surface of EV interacting with coagulation factors represents a novel antithrombotic target in ASCVD.

Association between the atherogenic index of plasma and kidney stones: a nationally representative study.

PURPOSE: The atherogenic index of plasma (AIP) is a novel comprehensive lipid index. We aimed to investigate a possible relationship between AIP index and kidney stones in US adults. METHODS: This cross-sectional study was conducted among adults with complete AIP index and questionnaire records on kidney stones from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2018. The AIP index served as the exposure variable, defined as the logarithm of the ratio between triglycerides (TG, mmol/L) and high-density lipoprotein cholesterol (HDL-c, mmol/L). Self-reported history of kidney stones was utilized as the outcome variable. The independent relationship between AIP index and the risk of kidney stones was fully assessed. RESULTS: A total of 14,833 participants were included in this study, with an average AIP index of -0.07 ± 0.01. The proportion of kidney stones progressively increased with higher AIP index tertile intervals (7.33% vs. 9.97% vs. 12.57%, P < 0.001). Furthermore, AIP index was found to be independently associated with the risk of kidney stones after adjusting for confounding factors (OR = 1.32, 95% CI 1.08-1.61, P = 0.006). Restricted cubic spline (RCS) analysis confirmed the robustness of our results. There was no significant interaction observed based on subgroup analysis stratified by age, gender, race, body mass index (BMI, kg/m2), smokers, diabetes, hypertension, and cardiovascular disease (P for interaction > 0.05). CONCLUSIONS: The AIP index may be a potential epidemiological tool to quantify the role of dyslipidemia in the risk of kidney stones in US adults.