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Many adults fail to achieve guideline-directed low-density lipoprotein cholesterol (LDL-C) goals on statin monotherapy, requiring additional nonstatin lipid-lowering medication. Enlicitide, an oral proprotein convertase subtilisin/kexin 9 (PCSK9) inhibitor, lowered LDL-C by 60% compared with placebo; its efficacy compared with other oral nonstatin therapies has yet to be examined. This study assessed the efficacy of enlicitide, a novel oral PCSK9 inhibitor, vs other oral nonstatin therapies. In this phase 3, randomized, double-blind, active-comparator trial, statin-treated adults aged ≥18 years with LDL-C ≥55 mg/dL and a previous major atherosclerotic cardiovascular disease (ASCVD) event, or LDL-C ≥70 mg/dL if at intermediate to high risk for a first event, were randomized in 2:1:1:2 fashion to 20 mg enlicitide (n = 101), 180 mg bempedoic acid (n = 50), 10 mg ezetimibe (n = 50), or 180 mg bempedoic acid plus 10 mg ezetimibe (n = 100) once daily for 56 days. The primary endpoint was mean percentage change in LDL-C from baseline to day 56; secondary endpoints included mean percentage changes in apolipoprotein B (ApoB) and non-high-density lipoprotein cholesterol (nonHDL-C). Safety endpoints included overall adverse events (AEs) and discontinuations due to AEs. Among 301 randomized participants (mean age 64.4 years, 37% female, 98% receiving moderate- to high-intensity statin), 298 (99.0%) completed the trial. The mean percentage change in LDL-C from baseline to day 56 was -64.6% (95% CI: -68.3% to -60.9%) with enlicitide, -6.3% (95% CI: -13.5% to 0.8%) with bempedoic acid, -27.8% (95% CI: -32.3% to -23.4%) with ezetimibe, and -36.5% (95% CI: -40.8% to -32.2%) with bempedoic acid plus ezetimibe; enlicitide was superior to each comparator (all P < 0.001). Reductions in ApoB and nonHDL-C were also greater with enlicitide (all P < 0.001). Proportions of participants with AEs and discontinuations due to AEs were similar across treatment arms. In statin-treated adults with a history of a major ASCVD event or at increased risk for a first event, enlicitide achieved greater reductions in LDL-C, ApoB, and nonHDL-C than other oral nonstatin therapies, demonstrating its potential role as an important add-on option when LDL-C goals are not met with the use of statins alone. (A Study to Evaluate the Efficacy and Safety of Enlicitide Decanoate [MK-0616, Oral PCSK9 Inhibitor] Compared With Ezetimibe or Bempedoic Acid or Ezetimibe and Bempedoic Acid in Adults With Hypercholesterolemia [MK-0616-018] [CORALreef AddOn; NCT06450366). Show less

Amyotrophic lateral sclerosis (ALS) is a heterogeneous neurodegenerative disorder. Notably, the differences in lipid metabolism between bulbar- and limb-onset subtypes of ALS remain unclear, particularly in non-Western populations. The present study investigated serum lipid profiles in a Chinese cohort of patients with ALS to explore their associations with disease severity and clinical subtypes. A retrospective, cross-sectional study was conducted, involving 158 patients with ALS and 62 matched healthy controls. Serum lipid parameters, including total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), small dense LDL cholesterol (sdLDL-c), apolipoprotein A-1 (ApoA1), apolipoprotein B (ApoB) and the TG/HDL ratio, were compared between the groups. Correlation analyses and multivariable linear regression models incorporating phenotype x lipid interaction terms were conducted after adjusting for age, sex, body mass index and disease duration. Patients with ALS exhibited significantly higher TC, TG, LDL, sdLDL-c, ApoA1, ApoB and TG/HDL ratios than controls. Subtype-specific analyses revealed different associations; in bulbar-onset ALS, higher sdLDL-c and TG/HDL ratios were associated with better functional status, whereas higher HDL and ApoA1 levels were negatively correlated with functional status. By contrast, in limb-onset ALS, higher sdLDL-c and ApoB levels were associated with worse function. Interaction analyses confirmed significant phenotype modification for sdLDL-c, TG/HDL ratio, HDL and ApoA1. These results suggest that lipid-severity relationships in ALS vary by subtype, indicating metabolic heterogeneity across phenotypes and supporting the potential of specific lipid parameters as exploratory markers for disease monitoring. Show less

Hypertriglyceridemia is a widely prevalent disorder of lipid metabolism that increases the risk of cardiovascular disease and pancreatitis, and it often remains difficult to control even with standard treatments. Olezarsen, an antisense oligonucleotide that targets apolipoprotein C-III (ApoC-III), offers a new and promising option for lowering triglyceride levels. A systematic search of PubMed, Scopus, Web of Science, and Cochrane was conducted through September 2025 to identify randomized controlled trials (RCTs) comparing olezarsen with placebo in adults with hypertriglyceridemia at high cardiovascular risk. Dichotomous outcomes were analysed as risk ratios (RRs) and continuous outcomes as percentage mean differences (MDs), both with 95% confidence intervals (CIs). Four RCTs (n = 1615 patients) were included. Olezarsen significantly reduced triglycerides (MD -47.71%, 95% CI -56.78 to -38.64, p < 0.0001), non-HDL-C (MD -22.11%, 95% CI -28.48 to -15.75, p < 0.0001), ApoC-III (MD -68.93%, 95% CI -77.54 to -60.31, p < 0.0001), VLDL-C (MD -48.52%, 95% CI -57.16 to -39.87, p < 0.0001), and ApoB (MD -10.67%, 95% CI -16.83 to -4.51, p = 0.0007), while increasing HDL-C (MD 35.13%, 95% CI -27.30 to -42.96, p < 0.0001). LDL-C showed no significant change. The risks of any or serious adverse events were comparable to placebo. Olezarsen was associated with fewer acute pancreatitis events (p = 0.035) but higher rates of liver enzyme elevations ≥ 3× ULN (p = 0.046). Olezarsen demonstrated consistent improvements in triglycerides and other atherogenic lipid parameters with an overall acceptable safety profile. These findings suggest that olezarsen may be a useful adjunct option for patients with persistent hypertriglyceridemia despite standard therapy. Further large-scale and long-term studies are needed to confirm its cardiovascular and safety outcomes. Show less

Hypertensive disorders of pregnancy (HDP) are associated with future cardiovascular disease but mechanisms are not well defined. We examined the association between HDP and atherosclerotic cardiovascular disease (ASCVD) biomarkers 5-10 years after childbirth. Secondary analysis of the NICHD MFMU Network Gestational Diabetes (GDM) Trial Follow-Up study. Participants were recruited and biospecimens obtained 5-10 years after the original trial of treatment for mild GDM. Patients were included if a biospecimen was available and their HDP status was known. We compared patients who experienced HDP to normotensive controls. Outcomes included unadjusted medians and mean concentrations of ASCVD serum biomarkers Apolipoprotein B (ApoB), high-sensitivity C-reactive protein (hs-CRP), and creatinine. Generalized linear models were used to compare concentrations between groups. Of 740 participants in this analysis, 78 had been diagnosed with HDP. Mean duration of follow up after delivery was 7.1 ± 1.3 years for both groups. Unadjusted means of each biomarker were not different between groups. After adjusting for obesity, mean serum creatinine was elevated in women who had been diagnosed with HDP (0.77 mg/dL 95%CI (0.72, 0.82)) compared to controls (0.71 mg/dL 95%CI (0.69, 0.72)), p = 0.02. Adjusted means for ApoB between women with HDP and controls were 64.2 mg/dL (95%CI (59.3, 69.5)) and 60.6 mg/dL (95%CI (58.9, 62.3)), (p = 0.18), and for hs-CRP mg/L were 14.6 (95%CI (11.4, 19.1)) and 14.5 mg/L (95%CI (13.3, 15.9)), (p = 0.91). In patients with HDP compared to normotensive controls, serum creatinine, but not ApoB or hs-CRP, was modestly elevated within 10 years of childbirth. Show less

Apolipoprotein standardization in multiple calibration laboratories requires equivalent results to value assign matrix-based reference and external quality assurance materials. A multiplexed LC-MS/MS-based reference measurement procedure (RMP) has been developed for serum apolipoproteins apo(a), apoA-I, apoB, apoC-I, apoC-II, apoC-III, and apoE. This study evaluates the transferability of the RMP between 3 calibration labs and determines the between-laboratory imprecision. Six periodic ring trial surveys were held. The study protocol, calibrators, internal standards, quality controls (QCs), and clinical samples (CSs) were shared among the laboratories. Intra-laboratory imprecision and inter-peptide comparisons evaluated intra-laboratory performance, while inter-laboratory imprecision evaluated equivalence between the calibration labs. Precision of the common bilevel QC monitored the level of harmonization over time. Intra-laboratory imprecision fulfilled predefined analytical performance, defined as repeatability <50% of the maximum allowable uncertainty (MAU) at minimal criteria. Median interlaboratory variation (CVbl) was 3.71%, 3.33%, 7.38%, 6.74%, 3.88%, and 3.90% for apoA-I, apoB, apoC-I, apoC-II, apoC-III, and apoE, respectively. For apo(a), CVbl was concentration (x) dependent following 206.32×x-0.899%. In QC samples, the average imprecision for all apolipoproteins decreased from 6.0% and 18.1% for QC1 and QC2, to 5.2% and 9.5%, indicating improvement of analytical performance of the network over time. This study shows the feasibility of transferring the multiplex apo LC-MS/MS-based RMP between laboratories. Predefined performance specifications were fulfilled for all seven apolipoproteins. Ongoing round-robin studies will ensure stable performance of the calibration labs required to accomplish an accurate value-base for apolipoprotein certification of commercial reagents. Show less

Between 1920 and 1950, cardiovascular disease (CVD) underwent a profound epidemiological shift, rising from a relatively rare and infrequently diagnosed condition to become the leading cause of death in industrialized nations. This epidemic coincided with a series of changes in the food supply, including the expanded use of refined carbohydrates, industrial seed and vegetable oils, and trans fatty acids. In response, the "Diet-Heart Hypothesis" emerged, dominated by Ancel Keys' lipid theory, which focused scientific and public health attention on saturated fat and cholesterol as the primary causes of CVD. This paradigm profoundly shaped dietary guidelines for decades, yet the sugar industry's documented influence on nutritional research during this period raises questions about how economic interests may have deflected scrutiny from other dietary factors. This review critically examines the evolution of cardiovascular risk assessment, exploring both the historical context of CVD emergence and the contemporary evidence supporting biomarkers that may be better at predicting risk than traditional cholesterol-focused approaches. Significant evidence reveals limitations in the lipid hypothesis, which oversimplified cardiovascular risk by demonizing total and LDL cholesterol. Research now demonstrates that apolipoprotein B and non‑HDL cholesterol more accurately reflect atherogenic lipoprotein burden than LDL cholesterol alone, while the triglyceride‑to‑HDL cholesterol ratio is a useful marker of insulin resistance and metabolic dysfunction. Lipoprotein(a), an independent genetic risk factor, accounts for a substantial proportion of cardiovascular events previously attributed to other causes. Furthermore, inflammatory markers like high-sensitivity C-reactive protein add prognostic value beyond traditional lipid panels. Perhaps most importantly, the historical dominance of saturated fat as a dietary "villain" is challenged by contemporary meta-analyses showing no significant association with CVD, while the roles of refined carbohydrates, industrial trans fats, and excess omega-6 fatty acids, such as those in soybean oil, warrant greater scrutiny. Contemporary cardiovascular risk assessment must move beyond LDL cholesterol-centric approaches to incorporate comprehensive metabolic and inflammatory markers. Apolipoprotein B, lipoprotein(a), triglyceride-to-HDL ratio, and high-sensitivity C-reactive protein provide more nuanced risk stratification, while dietary recommendations should acknowledge that industrial food processing, refined carbohydrates, and specific fatty acid compositions may pose greater cardiovascular threats than naturally occurring saturated fats. This paradigm shift demands updated clinical guidelines that reflect current scientific understanding rather than historical assumptions, potentially revolutionizing both prevention and treatment strategies for CVD. Show less

Despite significant advances in the management of myocardial infarction (MI), therapeutic options targeting upstream pathogenic mechanisms remain scarce. This study introduces a novel multiomics-to-drug discovery framework to identify and validate causal therapeutic targets for MI. We conducted a systematic two-sample Mendelian randomization (MR) analysis integrating expression quantitative trait loci (eQTL) and protein quantitative trait loci (pQTL) data from the IEU OpenGWAS database, with replication in the UK Biobank cohort. Causal inference was rigorously validated using HEIDI heterogeneity tests, Bayesian colocalization, bidirectional MR, and multivariate MR (MVMR) to account for potential confounders. Downstream applications were explored via protein-protein interaction (PPI) network analysis, phenome-wide association studies (PheWAS), and molecular docking simulations. Initial screening identified four candidate genes (BMP1, APOB, FABP2, and ALDH2) associated with MI risk in both discovery and replication cohorts. However, only BMP1 demonstrated consistent causal effects at both transcriptional and proteomic levels, passing all sensitivity analyses with no evidence of horizontal pleiotropy in PheWAS. Colocalization and bidirectional MR further confirmed BMP1 as a robust, independent causal driver of MI. Molecular docking revealed that UK-383367, a selective BMP1 inhibitor, exhibits high binding affinity to the BMP1 active site. While BMP1 is traditionally associated with extracellular matrix remodeling, this study provides the first genetic evidence establishing it as an independent causal risk factor for MI, distinct from conventional traits such as hypertension. By bridging causal genetic inference with structure-based drug prediction, we propose BMP1 inhibition, specifically via agents like UK-383367, as a promising therapeutic strategy to mitigate MI-related pathological remodeling. Show less

The ratio of uric acid to high-density lipoprotein cholesterol (UHR) is a novel comprehensive indicator related to dyslipidemia. However, the association between UHR and coronary artery disease (CAD) risk in patients with chronic kidney disease (CKD) remains unclear. After matching based on age and gender propensity scores, 2124 subjects were included and divided into the CKD group (708 cases) and the non-CKD group (1416 cases). The predictive performance of UHR for CAD was evaluated by the area under the curve (AUC), and the independent association between UHR and the risk of CAD onset was analyzed using a multivariate logistic regression model. The correlation and dose-response relationship between the ratio of uric acid to high-density lipoprotein cholesterol (UHR) and the risk of CAD were analyzed using LOESS fitting and restricted cubic spline (RCS) analysis. After matching, the multiple lipid-related indices (Triglycerides (TG), Remnant Cholesterol (RC), Atherogenic Index (AI), Atherogenic Index of Plasma (AIP), Triglyceride Glucose Index (TyG), Lipoprotein Composite Index (LCI), Triglyceride to High-Density Lipoprotein Cholesterol Ratio (TG/HDL-C), Total Cholesterol to High-Density Lipoprotein Cholesterol Ratio (TC/HDL-C), Low-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio (LDL-C/HDL-C), UHR) in the CKD group were significantly higher than those in the non-CKD group. The AUC analysis showed that HDL-C, AIP, TG/HDL-C, and UHR had strong predictive performance in the overall cohort and the non-CKD group, while in the CKD group, HDL-C, AI, and TC/HDL-C are better predictive indicators. After adjusting for all confounding factors, multivariate regression analysis revealed that HDL-C, apolipoprotein A-1 (APOA-1), and the APOA-1/APOB ratio were independent protective factors for CAD in the entire cohort. Among them, the protective effect of HDL-C was the most stable (overall population aOR = 0.26, 95% CI: 0.17-0.39, p < 0.001), and it was significantly in both the CKD (aOR = 0.18, 95% CI: 0.09-0.40, p < 0.001) and non-CKD subgroups (aOR = 0.31, 95% CI: 0.18-0.52, p < 0.001). In CKD, UHR is significantly correlated with CAD (aOR = 6.23, 95% CI: 1.89-20.60, p = 0.003), and the association was more significant in the non-CKD group (aOR = 15.15, 95% CI: 4.20-54.72, p < 0.001). CKD status significantly modified the association between UHR and CAD (P for interaction = 0.015). LOESS fitting suggested that UHR was positively correlated with the probability of CAD occurrence (the correlation was more significant at low UHR, and it slowed down when UHR > 0.5, r = 0.2, p < 0.001), and negatively correlated with eGFR (r = -0.38, p < 0.001). RCS analysis confirmed a significant nonlinear association between UHR and CAD (overall P < 0.001, nonlinear P = 0.002), and the risk of CAD increased when UHR was > 0.41 in CKD patients. UHR is an independent risk factor for coronary heart disease, with higher adjusted OR values and more significant independent risk effects in non-CKD populations. Show less

Psoriasis patients face a significantly elevated risk of cardiovascular diseases (CVD), necessitating early and accurate risk prediction tools. This study developed and validated a machine learning model to predict CVD risk in psoriasis patients using clinical and biochemical data from 2685 individuals. After preprocessing and addressing class imbalance with SMOTE-NC, six machine learning models (Logistic Regression as baseline, XGBoost, LightGBM, CatBoost, GradientBoosting, AdaBoost) were evaluated using a completely leak-free nested cross-validation framework (outer k = 10, inner k = 3) with randomized hyperparameter search (n_iter = 50). Feature selection via the Boruta algorithm was performed separately within each training fold to prevent data leakage. The Boruta algorithm identified 21 key predictors, including age, systolic blood pressure (SBP), apolipoprotein B (apoB), fasting blood glucose (FBG), and complement C1q. CatBoost emerged as the top-performing model (OOF ROC-AUC = 0.908, 95% CI [0.892-0.924]; PR-AUC = 0.509, 95% CI [0.448-0.578]; F1 = 0.540; MCC = 0.498; Brier = 0.078), while the Logistic Regression baseline achieved ROC-AUC = 0.909 but was eliminated due to poor calibration (Brier = 0.114 > 0.10). All metrics were evaluated with 95% bootstrap confidence intervals ( Show less

Atherosclerotic cardiovascular disease (ASCVD) remains a leading cause of morbidity and mortality in individuals with diabetes, partly driven by dyslipidemia. While low-density lipoprotein cholesterol (LDL-C) reduction is the primary target of lipid management, many patients with diabetes exhibit mixed dyslipidemia characterised by elevated triglycerides and increased concentrations of atherogenic remnant lipoproteins, which are more comprehensively captured by non-high-density lipoprotein cholesterol (non-HDL-C). Current guidelines from international societies, including the American Diabetes Association (ADA), the American Association of Clinical Endocrinology (AACE), and the European Society of Cardiology (ESC), recommend LDL-C and non-HDL-C targets based on individual cardiovascular risk profiles. Despite clear therapeutic algorithms, lipid target attainment remains suboptimal in routine clinical practice, necessitating more intensive and individualised treatment strategies. Lipid-lowering therapies, including statins, ezetimibe, bempedoic acid and PCSK9 inhibitors, effectively reduce LDL-C and non-HDL-C, significantly lowering cardiovascular risk. Triglyceride-lowering therapies, including omega-3 fatty acids and fibrates, have demonstrated substantial reductions in triglyceride levels, but their impact on cardiovascular outcomes remains uncertain. Given the heterogeneity of dyslipidemia in diabetes, non-HDL-C and apolipoprotein B (apoB) have emerged as superior markers for assessing atherogenic burden. While LDL-C reduction remains central, additional efforts are needed to optimise the management of residual atherogenic lipoprotein particles in diabetes. Future research should focus on refining risk stratification, improving lipid target attainment, and integrating novel lipid-modifying agents to enhance cardiovascular outcomes in this high-risk population. Show less

Randomized controlled trials (RCTs) found no cardioprotective effects of levothyroxine therapy in older adults with subclinical hypothyroidism. To assess levothyroxine effects on cardiometabolic biomarkers, which may serve as more sensitive treatment indicators. Post hoc analysis using (baseline and 12-month) data from two double-blind randomised controlled trials in older adults (≥ 65 years) with subclinical hypothyroidism. Cardiometabolic biomarkers included seven clinically relevant lipid measures (apolipoprotein B (ApoB), total cholesterol (Total-C), non-high-density lipoprotein cholesterol (non-HDL-C), remnant cholesterol (RC), low-density lipoprotein cholesterol (LDL-C), HDL-C, and triglycerides (TG)) and 167 standardised metabolomic measures from nuclear magnetic resonance. Analyses were additionally stratified by baseline TSH levels. Among 286 included participants (48% women; median age 75 [70, 82] years; median baseline TSH 6.44 [5.36, 7.81] mIU/L), 142 were randomized to levothyroxine. Overall, levothyroxine showed no effects on ApoB (-0.03 [95% CI: -0.07, 0.00] g/L), Total-C (-0.17 [-0.34, 0.00] mmol/L), non-HDL-C (-0.15 [-0.31, 0.00] mmol/L), RC (-0.09 [-0.16, -0.01] mmol/L), LDL-C (-0.07 [-0.15, 0.02] mmol/L), and TG (-0.07 [-0.15, 0.01] mmol/L). In participants with baseline TSH ≥10 mIU/L (n=27), potentially beneficial changes (P-values < 0.05, but not significant after multiple-testing correction) were observed for all clinically relevant lipids except HDL-C, as well as for ApoB-containing lipoproteins, VLDL size and fatty acids. In older adults with subclinical hypothyroidism, levothyroxine treatment showed no effects on cardiometabolic biomarkers, although potentially favourable changes in lipids and lipoproteins were observed for individuals with baseline TSH ≥ 10 mIU/L. Show less

Sex-specific differences in serum lipids are recognized, but their relationship with cardiovascular disease (CVD) has not been reliably quantified. We examined sex-specific associations of major lipids and apolipoproteins with incident CVD. We included 432 092 UK Biobank participants without CVD at baseline (2006-2010) and with ≥1 lipid measurement. Age-adjusted risks were estimated using Poisson regression. Multivariable Cox models estimated hazard ratios (HRs) and women-to-men ratios of HRs for 1-SD higher values of low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, apoB (apolipoprotein B), apoA1 (apolipoprotein A1), and Lp(a) (lipoprotein [a]). Over a mean 13.3 years of follow-up, there were 10 699 and 18 950 cases of CVD in women and men, respectively. CVD risk per 10 000 person-years was 33.4 (95% CI, 32.7-34.0) for women and 76.6 (95% CI, 75.5-77.7) for men. Low-density lipoprotein cholesterol, apoB, and log Lp(a) were associated with smaller HRs of CVD for women than men (ratio of HR, 0.94 [95% CI, 0.91-0.97], ratio of HR, 0.94 [95% CI, 0.92-0.97] and ratio of HR, 0.96 [95% CI, 0.93-0.99], respectively). Triglycerides were associated with larger HRs of CVD in women than men (ratio of HR, 1.06 [95% CI, 1.02-1.09]). The association of lower apoA1 with higher CVD risk was stronger in men than women (ratio of HR, 1.06 [95% CI, 1.03-1.10]). No sex difference was observed for high-density lipoprotein cholesterol (ratio of HR, 1.02 [95% CI, 0.98-1.06]). Men had a higher rate of CVD than women overall. Low-density lipoprotein cholesterol, apoB and Lp(a) had stronger associations with CVD risk in men, whereas triglycerides were stronger in women. ApoA1 was less protective for CVD in women than men. Show less

ApoB (apolipoprotein B)-containing lipoproteins are causal risk factors for atherosclerotic coronary artery disease (CAD). Since human cathelicidin LL-37 binds to ApoB-100 in this pathological context, we investigated whether the circulating LL-37-ApoB-100 complex could serve as a biomarker for CAD. We performed surface plasmon resonance and protein-protein docking to demonstrate the direct LL-37-ApoB-100 interaction. We developed a specific polyclonal antibody against the complex and measured its levels in human atherosclerotic plaques and plasma, as well as in We identified that LL-37 directly interacted with multiple distinct binding sites on ApoB-100. Plasma levels of LL-37-ApoB-100 complex were significantly elevated in human patients with atherosclerosis. Consistently, levels of this complex were positively correlated with atherosclerotic plaque area in Circulating LL-37-ApoB-100 levels are strongly associated with angiographically documented CAD, highlighting LL-37-ApoB-100 as an independent predictor for CAD. Show less

Postprandial metabolic impairments play a key role in the pathophysiology of cardiometabolic diseases. While liver fat content has been linked to distinct fasting metabolite profiles, its relationship with postprandial metabolite profiles remains unexplored. In this study, we aimed to (1) examine to what extent liver fat content is associated with the postprandial metabolomic profile beyond fasting metabolites; and (2) investigate whether diet-induced changes in liver fat content are associated with changes in plasma metabolites identified in objective 1. In a subpopulation (n = 1986) of an existing cohort study and a 12-week dietary intervention study (n = 80), liver fat content was measured by proton magnetic resonance spectroscopy and categorized as low (< 2.5%), middle (2.5-5.5%), or high (> 5.5%). In the cohort study, plasma metabolomic profiles were quantified by NMR spectroscopy at fasting (T High liver fat group was characterized by higher fasting and postprandial levels of triglycerides, all VLDL and the small LDL/HDL subclasses, ApoB, fatty acids, glycoprotein acetyls, and BCAAs, and lower medium/larger HDL subclasses, and acetate compared to the low liver fat group. In the high vs. low liver fat group, postprandial responses of cholesterol content of S-LDL, IDL, and S-HDL, glutamine and histidine, omega-3% and DHA % were lower. Diet-induced reductions in liver fat were associated with reductions in 40 fasting plasma metabolites, including VLDL-TG, tyrosine, isoleucine, fatty acid ratios, and most of the VLDL subclasses. Postprandial metabolomic profiling revealed additional associations between liver fat content and plasma metabolites beyond fasting measures, particularly in lipoprotein cholesterol and fatty acid composition. Diet-induced reductions in liver fat were associated with favorable changes in fasting metabolites, but not postprandial metabolite responses. Future studies with harmonized postprandial assessment are needed to further elucidate the postprandial observations and the underlying mechanisms. The trials in this study were registered at clinicaltrials.gov as NL21981.058.08/P08.109 and NCT02194504. Show less

Chronic low-grade inflammation plays a central role in cardiometabolic disease, yet the associations between lipid metabolism and inflammatory biomarkers in generally healthy individuals remain incompletely understood. This study aimed to investigate the relationship between blood lipids, high-sensitivity C-reactive protein (hsCRP), and a broad panel of inflammatory cytokines in a healthy adult population. A total of 165 healthy participants aged 18-44 years were recruited at the Falun County Hospital, Sweden. Blood samples were analyzed for a full lipid profile, blood counts, cytokines, and hsCRP. Plasma inflammatory protein levels were quantified using the Olink Proseek Multiplex Inflammation panel, including 92 cytokines. Statistical analysis included Spearman rank correlations and multiple testing correction using the Benjamini-Hochberg false discovery rate (FDR < 0.10). hsCRP showed significant correlations with several lipid parameters, particularly remnants, triglycerides, apolipoprotein B (ApoB), and non-HDL cholesterol, as well as with BMI and specific leukocyte counts. Additionally, hsCRP was significantly associated with multiple cytokines, including IL-6, TNF, IL-10, and CXCL10, highlighting a complex pro- and anti-inflammatory milieu. This study demonstrates correlations between hsCRP, lipid-related biomarkers, and inflammatory cytokines in healthy adults, underscoring the interplay between lipid metabolism and subclinical inflammation. The significant correlations between hsCRP and remnants, ApoB, and cytokines such as IL-6 support the role of these factors as early indicators of cardiometabolic risk, even in the absence of overt disease. Show less

Apolipoprotein B (apoB) is a superior marker of residual atherosclerotic cardiovascular disease risk in patients treated with lipid-lowering therapy (LLT) compared with low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C). The cost-effectiveness of LDL-C, non-HDL-C, and apoB goals has not been established. To determine the relative cost-effectiveness of intensifying LLT for primary prevention based on LDL-C, non-HDL-C, and apoB goals. This economic evaluation used a computer simulation model to evaluate the cost-effectiveness of intensifying LLT with high-intensity statins or ezetimibe according to LDL-C, non-HDL-C, or apoB goals. A cohort of 250 000 statin-eligible and atherosclerotic cardiovascular disease-free US adults was constructed from 2005 to 2016 National Health and Nutrition Examination Survey participants (N = 4149). Individuals commenced the simulation after lipid screening and received statin therapy based on 2018 American Heart Association/American College of Cardiology guidelines. Model inputs were derived from national survey data, pooled longitudinal cohort studies, and published literature. Uncertainty was explored with traditional and probabilistic sensitivity analysis. Lipid-lowering therapy was intensified if individuals did not achieve treated LDL-C level less than 100 mg/dL, non-HDL-C level less than 118 mg/dL, or apoB level less than 78.7 mg/dL. Lifetime quality-adjusted life-years (QALYs) and costs (in 2025 US dollars), discounted 3.0% annually. The primary outcome was the incremental cost-effectiveness ratio. Strategies were considered cost-effective if they cost less than $120 000 per QALY gained. Compared with an LDL-C goal, 965 QALYs (95% uncertainty interval [UI], -3551 to 5341 QALYs) would be gained with a non-HDL-C goal, alongside a $2.1 million (95% UI, -$94.2 million to $92.0 million) reduction in costs. Compared with a non-HDL-C goal, 1324 QALYs (95% UI, -2602 to 5669 QALYs) would be gained with an apoB goal, alongside a $40.2 million (95% UI, -$43.6 million to $134 million) increase in costs, yielding an incremental cost-effectiveness ratio of $30 300 per QALY gained. At a willingness-to-pay threshold of $120 000 per QALY gained, an apoB goal was optimal in 65% of probabilistic analyses and a non-HDL-C goal was optimal in 25%. The cost of apoB testing was marginal; higher costs reflected longer life expectancy and prolonged preventive treatment. The results of this computer simulation study suggest that apoB can be used as a cost-effective marker to guide primary prevention LLT and improve population health. Show less

This review examines whether high high-density lipoprotein cholesterol (HDL-C) is protective, harmful, or simply misleading in relation to atherosclerotic cardiovascular disease (ASCVD), with emphasis on recent mechanistic, epidemiologic, genetic, and trial evidence. HDL is biologically important and multifunctional, but HDL-C is an imperfect surrogate for HDL function. Recent cohort studies show nonlinear associations, with very high HDL-C not consistently protective and in some settings associated with increased mortality. Mendelian randomization studies do not support HDL-C as a causal protective factor, and randomized trials of HDL-C-raising strategies have generally failed to reduce ASCVD events. These findings have shifted attention from HDL quantity to HDL quality, including cholesterol efflux capacity, particle characteristics, and pathway-specific biology. At the same time, modern cholesteryl ester transfer protein (CETP) inhibition has renewed interest in whether benefit, if any, relates to Apolipoprotein B-lowering rather than HDL-C elevation itself. HDL biology remains highly relevant, but HDL-C alone should not be interpreted as a reliable marker of atheroprotection or as a therapeutic target. Very high HDL-C should not be used to downplay established causal risk factors. Future research should prioritize functional HDL metrics, deeper phenotyping, and mechanism-aligned trials to determine whether improving HDL quality, rather than simply raising HDL-C, can reduce ASCVD risk. Show less

AllergoOncology has emerged as an interdisciplinary field exploring the interaction between allergic diseases and cancer; however, the lack of stable in vivo models has limited mechanistic investigations. This study aimed to establish an experimental animal model to explore the impact of systemic allergic responses on tumor progression and to provide preliminary insights into the regulatory role of allergy in cancer development. An ovalbumin (OVA)-induced systemic allergy tumor-bearing mouse model (OVA-TM) was established by OVA sensitization followed by subcutaneous implantation of CT26 colon cancer cells. Tumor growth, immune responses, and behavioral changes were systematically evaluated. Tumor immune microenvironment alterations were assessed using immunological and histological analyses. Transcriptomic profiling and mass spectrometry imaging (MSI) were integrated to investigate immune-related metabolic alterations. Human tumor survival datasets were used to validate the prognostic relevance of differentially expressed genes (DEGs), and enrichment analyses of allergy- and cancer-associated genes were performed using humanized databases. OVA-induced systemic allergy significantly suppressed tumor growth and promoted immune cell infiltration, particularly CD3 This study establishes a practical in vivo model for AllergoOncology and demonstrates that systemic allergic responses can modulate tumor progression through immune activation, apoptosis, and inflammation-metabolism axis reprogramming, providing a foundation for future mechanistic and therapeutic studies. Show less

This study aims to evaluate the association between multiple lipid indices and coronary collateral circulation (CCC) in patients diagnosed with acute ST-segment elevation myocardial infarction (STEMI). This was a cross-sectional retrospective study involving 421 patients with STEMI who underwent coronary angiography between January 2022 and December 2024. Participants were categorized into a poor CCC group (Rentrop grade 0-1) and a good CCC group (Rentrop grade 2-3) according to Rentrop grading criteria. The following lipid parameters were evaluated as both continuous and categorical variables: total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), lipoprotein(a) [Lp(a)], apolipoprotein B (ApoB), apolipoprotein A-I (ApoA-I), non-HDL-C/HDL-C, ApoB/ApoA-I, atherogenic index of plasma (AIP), and lipoprotein composite index (LCI). The associations between these lipid indices and CCC status were assessed using multivariate logistic regression and receiver operating characteristic (ROC) curve analysis. Multivariate logistic regression analysis revealed that higher HDL-C quartiles were significantly associated with reduced odds of poor CCC (odds ratio [OR]: 0.544, 95% confidence interval [CI]: 0.351-0.771, P < 0.05), whereas elevated LDL-C (OR: 29.299, 95% CI: 3.562-240.976, P < 0.05), non-HDL-C (OR: 50.140, 95% CI: 5.408-464.834, P < 0.01), and non-HDL-C/HDL-C (OR: 4.510, 95% CI: 1.186-25.368, P < 0.05) quartiles were significantly associated with increased odds of poor CCC. Receiver operating characteristic (ROC) curve analysis demonstrated that LDL-C (cutoff: 3.265, AUC: 0.647, 95% CI: 0.573-0.721, P < 0.001), non-HDL-C (cutoff: 2.735, AUC: 0.752, 95% CI: 0.688-0.816, P < 0.001), and non-HDL-C/HDL-C (cutoff: 2.393, AUC: 0.686, 95% CI: 0.611-0.761, P < 0.001) exhibited favorable predictive performance for poor CCC. Stratification analysis showed that the highest prevalence of poor CCC was observed in patients with concurrently elevated levels of LDL-C, non-HDL-C, and non-HDL-C/HDL-C. Several lipid indices-including LDL-C, non-HDL-C, and the non-HDL-C/HDL-C ratio-are significantly associated with impaired CCC in patients with STEMI. Notably, non-HDL-C exhibits the strongest association with CCC dyscrasia and therefore warrants early clinical attention. Show less

GLP-1 RAs are effective in treating obesity; however, they typically result in significant loss of skeletal muscle mass. Real-world evidence to inform systematic guidelines and clinical implementation for preserving skeletal muscle mass and reducing cardiometabolic risk with lifestyle modifications on GLP-1 RAs remains limited. This study evaluated the effectiveness of the TouchCare Method, a lifestyle intervention incorporating nutrition and exercise with GLP-1 RAs, for improving body composition and cardiometabolic risk. A retrospective chart review included patients enrolled in Bucks Health and Wellness between February 2024 and September 2025, for at least 12 month ( Patients adherent to the TouchCare Method for 12 months were included in the final analysis ( The TouchCare Method may improve GLP-1 RA treatment outcomes by providing comprehensive structured lifestyle interventions supporting clinically significant weight loss while preserving skeletal muscle mass and improving cardiometabolic risk factors. Show less

The utility of emerging lipid markers-apolipoprotein B (apoB) and lipoprotein(a) (Lp[a])-for improving atherosclerotic cardiovascular disease (ASCVD) risk assessment beyond traditional lipid measures remains uncertain, particularly in young adults. To evaluate associations of traditional and emerging lipid markers with ASCVD and assess the incremental value of emerging markers beyond established risk models. This prospective cohort study included adults aged 18 years or older without cardiovascular disease from 3 US cohort studies (Coronary Artery Risk Development in Young Adults, the Framingham Heart Study Offspring, and the Multi-Ethnic Study of Atherosclerosis [MESA]). Data were analyzed from April to June 2025. Lipid markers, including low-density lipoprotein (LDL) cholesterol, non-high-density lipoprotein (HDL) cholesterol, remnant cholesterol, total-to-HDL cholesterol ratio, apoB, and Lp(a). Hazard ratios (HRs) for incident ASCVD per-SD increase in lipid marker levels, estimated using Cox proportional hazards regression models adjusted for demographic and clinical factors, and model performance metrics (Harrell concordance index [C-index], net reclassification improvement [NRI], and mean calibration) comparing models including the risk estimated by the Predicting Risk of Cardiovascular Disease Events (PREVENT) base equations against models that additionally included each lipid marker. Among 10 519 participants (mean [SD] age, 48.3 [15.7] years; 53.0% female), 1103 ASCVD events occurred during a median follow-up of 21.3 (IQR, 16.5-26.0) years. ApoB was positively associated with ASCVD events, especially in younger adults aged 18 to 39 years (adjusted HR [AHR] per-SD increase, 1.53; 95% CI, 1.30-1.79) vs those aged 40 years or older (AHR, 1.13; 95% CI, 1.06-1.20) (P < .001 for interaction). Lp(a) as a continuous variable was associated with a marginal increase in ASCVD in adults aged 40 years or older (AHR, 1.07; 95% CI, 1.00-1.16) but not in younger adults (AHR, 1.02; 95% CI, 0.87-1.19) (P = .61 for interaction). When dichotomized (>50 vs ≤50 mg/dL), Lp(a) was associated with ASCVD in adults aged 40 years or older (AHR range, 1.36; 95% CI, 1.13-1.64) but not in younger adults (AHR, 0.98; 95% CI, 0.66-1.45) (P = .42 for interaction). Adding apoB to 10-year ASCVD risk estimated by the PREVENT base equations was associated with improved risk reclassification in younger adults (continuous NRI, 0.67; 95% CI, 0.23-1.09) but not in those aged 40 years or older (continuous NRI, 0.16; 95% CI, -0.05 to 0.27). ApoB was also associated with improved 30-year risk reclassification in younger adults (continuous NRI, 0.47; 95% CI, 0.02-0.84). Dichotomized Lp(a), but not continuous Lp(a), was associated with improved 10-year NRI only in MESA (0.13; 95% CI, 0.03-0.24). In this cohort study of 10 519 adults, adding apoB to PREVENT-estimated ASCVD risks was associated with improved risk reclassification, particularly in younger adults. However, the clinical importance of these modest improvements remains uncertain. Show less

Biomarkers that capture the dynamic transition from obesity to metabolic dysfunction and subsequent cardiorenal disease remain insufficient. This study evaluated stage-specific associations of lipid-inflammation indices across this continuum. We included 109,442 obese adults (UK Biobank) across four stages, obesity (Stage 1), metabolic disorders (Stage 2), cardiorenal disease (Stage 3), and death (Stage 4). Five baseline indices (ApoB/A1-CRP, RCII, NHR, lymphocyte-to-HDL-C, monocyte-to-HDL-C) were evaluated. Markov multistate models were used to estimate transition-specific risks, with Cox regression and restricted cubic spline (RCS) analyses as complementary approaches. During a median follow-up of 15.73 years, 11.14% of participants progressed from Stage 1 to 2, and 25.88% from Stage 2 to 3. In fully adjusted model, ApoB/A1-CRP (HR, 1.07, 95% CI, 1.00-1.14, P = 0.048) and RCII (HR, 1.08, 95% CI, 1.01-1.15, P = 0.017) were significantly associated with Stage 2 to 3 progression. Upon Stage 3 stratification, NHR was primarily associated with mortality following cardiorenal disease onset. RCS analyses indicated significant non-linear associations for ApoB/A1-CRP, RCII, and NHR. RCII demonstrates robustness in sensitivity analysis. RCII is independently associated with the progression from metabolic disorders to cardiorenal diseases in obesity. It may serve as a clinically biomarker for early risk stratification. Show less

Elevated lipoprotein(a) [Lp(a)] is a genetically determined and independent risk factor for atherosclerotic cardiovascular disease (ASCVD) that is largely resistant to conventional lipid-lowering therapies. Novel Lp(a)-targeted agents, including small interfering RNA (siRNA), antisense oligonucleotides (ASO), and the oral small-molecule inhibitor muvalaplin, have shown potent efficacy in early trials. We conducted a systematic review and network meta-analysis to comprehensively compare their efficacy and safety. A total of 25 randomized controlled trials (RCTs) involving 7715 participants were included, evaluating six siRNA agents, four ASO agents, and one small-molecule inhibitor. The primary outcome was percentage change from baseline in Lp(a). Secondary outcomes included absolute change in Lp(a), percentage changes in apolipoprotein B (apoB) and low-density lipoprotein cholesterol (LDL-C), and adverse events. SiRNA therapies achieved the greatest Lp(a) reductions (olpasiran: mean difference [MD] -92.1%, 95% CI -100.1 to -84.0%; zerlasiran: -80.6%, 95% CI -87.7 to -73.5%), followed by muvalaplin (-76.8%, 95% CI -90.3 to -63.2%) and ASO therapy (pelacarsen: -54.2%, 95% CI -72.2 to -36.2%; all P < 0.001). Most agents achieved absolute Lp(a) reductions exceeding 105 nmol/L, suggesting clinically meaningful benefit. Baseline Lp(a) levels significantly modified treatment response (P < 0.001), and concomitant proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor use further enhanced LDL-C reduction (P = 0.024). All therapies were well tolerated, with injection-site reactions most frequent for injectables, while muvalaplin was well tolerated. These findings indicate that targeted Lp(a)-lowering therapies substantially reduce circulating Lp(a), with siRNA showing the greatest potency and muvalaplin offering a convenient oral alternative for personalized ASCVD risk reduction. Show less

Visceral obesity plays a pivotal role in initiating and sustaining chronic systemic inflammation through complex interactions involving adipose tissue dysfunction, insulin resistance, immune system activation, and gut microbiome composition. Visceral obesity is also hypothesized to contribute to the development and progression of extraintestinal manifestations and complications in inflammatory bowel disease (IBD). The aim was to evaluate the interrelationships between ultrasound-measured visceral and subcutaneous adipose tissue thickness with carotid artery atherosclerosis indicators in IBD patients. The study included 90 patients with IBD aged 40-64 years. All patients underwent duplex ultrasound scanning of the carotid arteries with measurement of carotid plaque burden indicators. Ultrasound measurements of subcutaneous and visceral adipose tissue thickness (ATT) were performed: minimal subcutaneous adipose tissue thickness (mSATT), maximal preperitoneal adipose tissue thickness (mPATT), periumbilical subcutaneous adipose tissue thickness (PSATT), visceral abdominal adipose tissue thickness, peri- and pararenal adipose tissue thickness. Ultrasound-derived indicators of visceral obesity (mPATT and abdominal ATT), but not BMI or WC, were associated with an increased odds ratio for the presence of carotid plaque after adjustment for sex and age. Both mPATT and abdominal ATT demonstrated positive correlations with apoB concentration, LDL-C, sdLDL, eLDL-TG, and inverse correlations with adiponectin concentration. In patients with IBD aged 40-64 years, visceral adipose tissue thickness measured by ultrasound and WC were associated with the carotid plaque burdens. Ultrasound-measured mPATT and abdominal ATT, but not BMI and WC, were independently associated with carotid atherosclerosis in patients with IBD. Show less

Apolipoprotein B (APOB), a structural component of low-density lipoproteins (LDL), has historically been associated with peripheral lipid transport and cardiovascular disease. Recent studies have revealed a link between APOB and Alzheimer's disease (AD), with increased cerebrospinal fluid (CSF) APOB levels correlating with tau pathology. Although APOB is known to be locally expressed in the brain, albeit at very low levels, its function in the central nervous system and contribution to neurodegenerative processes remains poorly understood. To investigate the effects of chronic APOB overexpression on brain molecular homeostasis, we used a transgenic mouse model expressing human APOB-100 and integrated findings with human cohort data to assess its functional relevance to AD pathology. Human APOB transgenic (hAPOB) and wild-type mice were aged to 6 and 12 months. Frontal cortices were analyzed using RNA sequencing and mass spectrometry-based proteomics. Differentially expressed genes and proteins were analyzed via pathway enrichment and cell type deconvolution. Findings were contrasted to post-mortem proteomic alterations observed in brain tissue (ROSMAP) and in the CSF (ADNI). hAPOB overexpression in mice induced a robust and persistent upregulation of innate immune genes, particularly those associated with type I interferon responses (Irf7, Ifit1, Oas2), in both young and old transgenic mice. Reduced microglial and endothelial cell signatures were observed through cell type deconvolution, which suggests immune activation without proliferation and possible blood-brain barrier damage. Proteomic analyses showed differentially expressed proteins associated with oxidative stress and dendritic remodeling. Proteins dysregulated in mice-such as CTSD, CRK, and SULT4A1-also showed altered expression in AD human brain and CSF. Remarkably, these proteins are dysregulated in the opposite direction in humans than in mice, unveiling a complex downstream regulation of APOB overexpression. Chronic hAPOB overexpression drives sustained neuroinflammatory and oxidative responses, potentially mimicking viral-like immune activation in the brain. The proteins dysregulated in hAPOB transgenic mice brains were also dysregulated in humans on opposite side of the APOB level spectrum. Nevertheless, this result shows a consistency across species on hAPOB-driven downstream effects. Some of these proteins were also shown to associate with key features of AD pathology, namely Aβ, Tau and pTau. Our findings support a novel role for APOB in modulating brain immune homeostasis and neurodegenerative processes, offering a mechanistic link between vascular risk and Alzheimer's disease. Show less

Adolescent Idiopathic Scoliosis (AIS) is the most common form of spinal deformity among adolescents. To explore its etiology of progression and scoliosis-modifying drugs, chondrocytic senescence was confirmed in AIS facet joint cartilage by analyzing clinical specimen. Furthermore, through 4D/480 label-free proteomics analysis, we identified an exosome-mediated positive feedback loop during scoliosis progression, which driving the elevation of cholesterol flow between spinal cartilage and vertebra. To further investigate the pathological significance of the loop in vivo, high-cholesterol flow was reconstructed in C57BL/6 J mice by injecting with recombinant adeno-associated virus rAAV9-Runx2-HMGCR. Our results confirmed the important role of the positive feedback loop in the development of scoliosis. Meanwhile, Avasimibe or/and Corylin were used to delay the scoliosis progression by targeting the key exosomal proteins APOB (Apolipoprotein B-100) or/and HSP90β (Heat Shock Protein 90-beta). This research extends the etiology of scoliosis progression and provides an alternative perspective for scoliosis non-surgical treatment. Show less

In recent years, human exposure to p-phenylenediamine-derived quinone (PPD-Qs) has attracted great attention due to their potential toxic effects on humans. While, their potential health risks to the lipid metabolism in humans remain inadequately elucidated. This cross-sectional study analyzed blood samples for six PPD-Qs, lipid profiles, and mitochondrial DNA copy number (mtDNAcn), and investigated the association between PPD-Q exposure and lipid levels in a population-based cohort comprising 255 healthy Chinese adults. Results showed that PPD-Qs in human serum was dominated by 6PPD-Q (mean 1.8 ng/mL), followed by 77PD-Q (0.73 ng/mL) and DTPD-Q (0.60 ng/mL). Multivariate analyses demonstrated significantly positive correlations between exposure to specific PPD-Qs (i.e., 6PPD-Q, CPPD-Q, DPPD-Q, and DTPD-Q) and elevated serum concentrations of total cholesterol (TC), triglycerides (TG), and low-density lipoprotein cholesterol (LDL-C). Weighted quantile sum regression showed that mixed PPD-Q exposure was positively correlated with TG levels (β = 0.050, 95% CI: 0.009 -0.16), with 6PPD-Q showing the highest weight for TC (weight 0.27), TG (0.31), low-density lipoprotein (0.28), apolipoprotein A1 (ApoA1; 0.52), and apolipoprotein B (ApoB; 0.33). Bayesian kernel machine regression analysis confirmed dose-dependently positive relationships between combined PPD-Q exposure and TC, TG, LDL-C, ApoA1, and ApoB. Mechanistically, mtDNAcn mediated 34 (95% CI: 9.3 -138%)-70% (95% CI: 12 -266%) of the total serum TG-elevating effects induced by PPD-Q exposure, revealing a novel pathway through which these PPD-Qs disrupt lipid homeostasis. Findings of this study address critical knowledge gaps regarding the toxicological impacts of these emerging environmental contaminants on human metabolic health. Show less