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PubMed2026

Prediction of incident heart failure in established atherosclerotic cardiovascular disease: the SMART2-HF model.

BACKGROUND AND AIMS: Patients with established atherosclerotic cardiovascular disease (ASCVD) are at high risk of developing heart failure (HF). However, incident HF is not part of the risk assessment of current guideline-recommended models. The aim of this study was to develop and externally validate the SMART2-HF model for prediction of incident HF in patients with ASCVD. METHODS: SMART2-HF was developed in 7698 individuals with established ASCVD (coronary, cerebrovascular, or peripheral artery disease, or abdominal aortic aneurysm) but without prior HF from the UCC-SMART cohort. Cox proportional hazards models including sex-predictor interactions and with age as the time scale were derived to estimate the 10-year and lifetime risk of incident HF (hospitalization for HF or HF-related death), accounting for competing non-HF mortality. Predictors, limited to routinely available clinical characteristics, were aligned with the SMART2 risk model for recurrent cardiovascular (CV) risk in the same population. External validation was performed in 240 741 patients with ASCVD from six data sources: the Clinical Practice Research Datalink, the HUNT3 study, the SWEDEHEART Registry, the ASCVD-Particles cohort, the Estonian Biobank and the international REACH Registry. RESULTS: During a median follow-up of 11.2 years (interquartile range 6.1-16.4 years), 1031 incident HF events (13%) occurred in the UCC-SMART cohort. In the external validation data sources, a total of 24 885 incident HF events (10%) occurred. The pooled C-statistic was .696 (95% confidence interval .674-.717), with consistent performance in subgroups by sex and type of ASCVD. Predicted risks matched observed incidence in external validation. CONCLUSIONS: The SMART2-HF model enables the prediction of incident HF in patients with ASCVD. Aligned with the guideline-recommended SMART2 model for recurrent CV risk, SMART2-HF can be used as a complementary tool in this population.

Humans↗

PubMed2025

Heterogeneity of Apolipoprotein B Levels Among Hispanic or Latino Individuals Residing in the US.

IMPORTANCE: Apolipoprotein B (apoB) distribution and its implications as an atherosclerotic cardiovascular disease (ASCVD) risk-enhancing factor among individuals of diverse Hispanic or Latino backgrounds have not been described. OBJECTIVE: To describe the distribution of apoB in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) cohort and to characterize associations of baseline sociodemographic and clinical variables with apoB and self-identified Hispanic or Latino background. DESIGN, SETTING, AND PARTICIPANTS: The HCHS/SOL was a prospective, population-based cohort study of diverse Hispanic or Latino adults living in the US who were recruited and screened between March 2008 and June 2011. Sampling weights were used to generate a population-based sample of Hispanic or Latino participants aged 18 to 74 years who resided in 4 US metropolitan areas (Bronx, New York; Chicago, Illinois; Miami, Florida; and San Diego, California). ApoB concentration was measured in participants from the HCHS/SOL, and apoB tertiles were compared across demographic groups, including self-identified Hispanic or Latino background. Median percentage continental genetic ancestry (West African, Amerindian, and European) was compared across apoB tertiles. EXPOSURE: ApoB measured in mg/dL from serum or plasma using an immunoturbidimetric assay. MAIN OUTCOMES AND MEASURES: ApoB tertiles were determined, and traditional lipids were evaluated across apoB tertiles. ApoB and traditional lipid measurements were assessed across ASCVD risk categories. Additionally, scatterplots were created to observe correlations between apoB and low-density lipoprotein cholesterol or non-high-density lipoprotein cholesterol. RESULTS: Overall mean (SD) apoB concentration was 99.8 (0.4) mg/dL, with male participants displaying significantly higher mean levels than female participants (102.4 vs 97.4 mg/dL, respectively). Mean (SD) participant age was 41.1 (0.8) years, and 8376 participants (51.9%) were female. ApoB levels were higher among older age groups. There was significant heterogeneity in mean apoB concentrations across self-identified Hispanic or Latino background groups, ranging from 95.1 mg/dL in Dominican individuals to 104.8 mg/dL in Cuban individuals. The prevalence of elevated apoB (≥130 mg/dL) was greater across higher predicted ASCVD risk categories. Among participants with a 10-year predicted ASCVD risk of 7.5% or higher, 26.5% had an elevated apoB. Median West African ancestry was lower across higher tertiles of apoB. CONCLUSIONS AND RELEVANCE: In this cohort study among participants from the HCHS/SOL, elevated apoB was present in one-quarter of a diverse cohort study of Hispanic or Latino individuals who were at intermediate or high predicted ASCVD risk. Differences in apoB distribution among Hispanic or Latino individuals may have important implications for apoB's use in ASCVD risk assessment.

Adolescent↗

PubMed2026

Common Molecular Mechanisms and Candidate Drug Targets in Type 2 Diabetes Mellitus and Atherosclerotic Cardiovascular Disease.

This study examined the mechanisms underlying the comorbidity between type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD), while identifying potential therapeutic targets. Common differentially expressed genes (C-DEGs) between T2DM and ASCVD were extracted from the GSE78721 and GSE12288 datasets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, protein-protein interaction (PPI) network construction, hub gene identification, and Drug-Gene Interaction Database (DGIdb) analysis were conducted. The association between hub C-DEGs and immune-infiltrating cells was analyzed using the CIBERSORT method. Expression levels of hub C-DEGs were quantified through qRT-PCR and Western blot analyses. A total of 32 C-DEGs were identified, comprising 20 upregulated and 12 downregulated genes. C-DEGs were predominantly enriched in key pathways, including viral myocarditis, arrhythmogenic right ventricular cardiomyopathy, hypertrophic cardiomyopathy, and dilated cardiomyopathy. PPI analysis revealed 29 nodes and 39 edges, leading to the identification of eight hub C-DEGs (HSP90B1, PLAU, SLPI, TOP3A, NCF4, PRF1, TUBA1C, and CS) across both datasets. Furthermore, hub C-DEGs (TOP3A, SLPI, NCF4, PRF1, and PLAU) demonstrated significant correlations with immune-infiltrating cell levels. Drugs specifically targeting these hub C-DEGs present promising candidates for the treatment of T2DM and ASCVD. Additionally, the expression of hub C-DEGs at both mRNA and protein levels was validated in patients with T2DM and ASCVD. An integrated bioinformatics analysis facilitated the screening of candidate therapeutic targets, mechanisms, and drugs for T2DM and ASCVD, offering new insights into molecular therapies for these conditions.

Diabetes Mellitus, Type 2↗

PubMed2026

Management and Consequences of Genotype-Positive Familial Hypercholesterolemia.

IMPORTANCE: Familial hypercholesterolemia (FH) is a common genetic condition that causes hypercholesterolemia and increased risk for premature atherosclerotic cardiovascular disease (ASCVD). The prevalence, management, and consequences of genetically confirmed FH across the US are poorly understood. OBJECTIVE: To identify genotype-positive FH in a national US cohort and describe its prevalence, consequences, and lipid-lowering management. DESIGN, SETTING, AND PARTICIPANTS: In the All of Us (AoU) cohort study, whole-genome sequencing and phenotypic data from US adult participants enrolled between May 2018 and July 2022 were analyzed to identify and study genotype-positive FH. Data were analyzed between May 2024 and May 2025. EXPOSURE: FH variants (pathogenic or likely pathogenic) in LDLR, APOB, and PCSK9 genes were manually classified with standard criteria. MAIN OUTCOMES AND MEASURES: The primary outcomes were demographic characteristics, lipid measurements, ASCVD, and prevalence of FH and noncarriers in AoU. Lipid management was then characterized among individuals with FH through lipid-lowering therapy (LLT) documentation and guideline-based low-density lipoprotein cholesterol (LDL-C) targets. RESULTS: A total of 245 388 participants were included, with mean (SD) age of 56.5 (16.9) years and 145 563 female participants (59.3%). Genotype-positive FH was identified in 865 participants (prevalence, 0.35%; 95% CI, 0.33%-0.38%; 1 in 287 participants). Among individuals with genotype-positive FH, 349 (40%) were prescribed statins, and 332 (38.4%) had LDL-C measured. Coronary artery disease, peripheral artery disease, and transient ischemic attack or stroke were significantly more common in genotype-positive FH carriers compared to noncarriers (coronary artery disease: odds ratio [OR], 2.91; 95% CI, 2.34-3.58; peripheral artery disease: OR, 1.51; 95% CI, 1.16-1.96; and transient ischemic attack or stroke: OR, 1.54; 95% CI, 1.11-2.09). Only 30.1% of participants positive for FH variants had LDL-C less than 100 mg/dL at their most recent result compared to 48.2% of noncarriers (P < .001). Of the total participants with ASCVD and LLT prescription, significantly fewer individuals with FH met the secondary prevention LDL-C target (<70 mg/dL; 19.33% vs 43.12%; P < .001) compared to noncarriers. CONCLUSIONS AND RELEVANCE: This cohort study finds a prevalence of genotype-positive FH in All of Us participants of 0.35% (95% CI, 0.33%-0.38%), with state-level variation. A minority of individuals with genotype-positive FH met guideline-recommended LDL-C targets and had increased rates of ASCVD.

Humans↗

PubMed2026

Lipoprotein(a): Actionable today, treatable tomorrow?

BACKGROUND: Lipoprotein(a) (Lp(a)) is an atherogenic, low-density lipoprotein (LDL)-like particle whose concentrations, mostly genetically determined, are elevated in about 20% of individuals. It is a major and under-recognised independent risk factor for atherosclerotic cardiovascular disease (ASCVD) and aortic valve stenosis. OBJECTIVE: To review current evidence, international recommendations and future directions around testing and management of elevated Lp(a). DISCUSSION: Among other high-risk groups, measuring Lp(a) is recommended in people with ASCVD or aortic valve stenosis, especially if they are of young-onset, familial, unusually severe or progressive. Indeed, some international guidelines advocate measuring Lp(a) in all adults as part of cardiovascular risk assessment. While specific Lp(a)-lowering therapies are not yet available, risk-reducing measures for people with raised Lp(a) include addressing absolute ASCVD risk by diet and lifestyle measures, along with pharmacological LDL-cholesterol reduction. Aspirin might also have a role in primary prevention. Lp(a)-lowering therapies that act by preventing its formation are the subjects of ongoing clinical trials focused on cardiovascular outcomes, the first of which is expected to report in late 2026.

Humans↗

PubMed2026

Plasma proteomics and coronary artery calcium score: synergistic, concordant and contrasting predictions of cardiovascular outcomes in The Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Coronary artery calcium (CAC) scores inform subclinical atherosclerotic cardiovascular disease (ASCVD) burden, helping guide preventative treatments. However, prediction of cardiovascular (CV) events by CAC is largely limited to ASCVD outcomes. This study investigated whether a previously validated proteomic test for predicting a broad composite of four-year CV events could enhance the prognostic utility of CAC. METHODS: We used a 27-protein CV risk score (Prot-CVR), derived from ~5,000 SomaScan™ Assay plasma protein measurements, to predict four-year risk of a composite CV and mortality outcome (myocardial infarction, stroke/TIA, heart failure hospitalization, death) in 2,122 participants with ≥1 CV risk factors from the Multi-Ethnic Study of Atherosclerosis (MESA) observational cohort at exam 5 and compared predictions to CAC Agatston scores. Discriminatory performance was assessed using C-Index and 4-year area under the curve (AUC). Cox Proportional Hazard (CoxPH) ratios were calculated for the composite outcome, ASCVD outcome (myocardial infarction, resuscitated cardiac arrest, stroke, coronary heart disease death), and individual events. Changes in Prot-CVR and CAC scores from baseline to MESA exam 5 (+10-years) in CV event versus event-free participants were assessed using 2-tailed paired t-tests. CoxPH regression models of CV event status distributed by Prot-CVR, CAC, and relevant co-variates were evaluated for performance relative to individual models. RESULTS: Individual Prot-CVR and CAC models predicting the composite outcome had comparable 4-year AUCs, but Prot-CVR had a higher C-index (0.68 (0.65-0.70) versus 0.63 (0.60-0.65), p=0.001) and greater hazard ratios for the composite outcome (p<0.001), death (p<0.001), and heart failure (p=0.015). A combined CoxPH model of Prot-CVR + CAC + Age had a higher 4-year AUC (0.72, p<0.05) and C-Index (0.71, p<0.05) than Prot-CVR or CAC alone. Both Prot-CVR and CAC scores detected an increase in risk prior to an approaching CV event in ~10-year sensitivity-to-change analysis. For 49.6% of MESA population with CAC=0 at baseline, Prot-CVR was greater in composite event versus event free participants at 4 years (0.23 versus 0.15, p=0.006) and full follow-up (0.18 versus 0.13, p<0.001). CONCLUSION: Protein testing complements CAC for CV risk assessment although the improvement is modest. Prot-CVR may resolve which patients with CAC=0 are at heightened CV risk.

Journal Article↗

PubMed2025

Early mortality in children with homozygous familial hypercholesterolemia: Case reports of deaths at ages 5 and 7 and a systematic review of global evidence.

BACKGROUND: Homozygous familial hypercholesterolemia (HoFH) is a leading cause of premature atherosclerotic cardiovascular disease (ASCVD) and early mortality if left untreated or inadequately treated. OBJECTIVE: This study presents 2 pediatric cases of early death from Pakistan due to familial hypercholesterolemia (FH) and provides a systematic review of similar cases reported globally. METHODS: Genetic analysis was conducted using next-generation sequencing to confirm pathogenic variants. For the systematic review, published reports of individuals with FH who died before the age of 18 years were identified. Data were extracted on demographic features, personal and family history, genetic variants, treatment given, and cause of death. RESULTS: Both patients, born to consanguineous families, presented with markedly elevated low-density lipoprotein cholesterol (LDL-C) levels (792 mg/dL [20.48 mmol/L] and 896 mg/dL [23 mmol/L], respectively), multiple xanthomas, and early-onset myocardial infarction, and died at the ages of 5 and 7 years, respectively. Their genetic analysis revealed a pathogenic frameshift variant in the LDLR gene: NM_000527.5: c.2416dupG (p.Val806GlyfsTer11). The systematic review included 12 studies reporting pediatric FH-related mortality. Common clinical features included tendon xanthomas, elevated LDL-C levels, family history, and early-onset ASCVD. Genetic testing was performed in a few cases, which revealed pathogenic variations in the LDLR gene. Most of the patients received inadequate lipid-lowering therapy. The most common causes of death were severe coronary artery disease, myocardial infarction, and sudden cardiac arrest. CONCLUSION: Our 2 cases and the accompanying systematic review identified additional cases of premature mortality. Collectively, these findings highlight diagnostic delays and inadequate treatment as common factors among patients who died prematurely.

Child↗

PubMed2026

Management of complex lipid disorders in a community lipid clinic setting: Implementing a multidisciplinary model.

BACKGROUND: Large treatment gaps exist in the management of lipid disorders, and many high-risk patients have factors that complicate management efforts. While lipid clinics exist within academic medical centers, most of these patients are cared for in community settings. OBJECTIVE: To report our experience and results managing challenging and complex lipid disorders in a community-based lipid clinic. METHODS: We established a specialized lipid clinic in a community medical setting, with a focus on patients with management challenges and/or suspicion of a genetic lipid disorder, employing a multidisciplinary approach to optimize patient outcomes, emphasizing appropriate medical therapies and lipid genetic testing in selected patients. Retrospective electronic health record data were collected to analyze patient characteristics, treatment patterns, and lipid results. RESULTS: Over the period 2022 through 2024, 183 patients were seen (mean 63 years, 62% female). The challenging nature of the patient population was highlighted by high rates of statin intolerance (50%), no lipid medical therapy at baseline (50%), and comorbidities (atherosclerotic cardiovascular disease [ASCVD], diabetes, and/or hypertension-61%). Despite this, over a mean follow-up of 9.4 ± 7.3 months, we observed a mean low-density lipoprotein cholesterol decrease of 49 mg/dL (-24.5%, P < .001), along with significant decreases in total cholesterol and triglycerides. Pathogenic dyslipidemia genetic variants were discovered in 21 patients (of 105 tested). Significant lipid improvements in the whole cohort, as well as multiple subgroups, were associated with greater utilization of combination therapies. CONCLUSION: Patients with complex lipid disorders can be successfully managed within a specialized lipid clinic in community medical settings. Applying such a multidisciplinary model outside of traditional academic medical centers offers the potential to raise the level of lipid management and ASCVD prevention more broadly in larger populations.

Combination medical therapy↗

PubMed2026

Current and Future Perspectives of LDL-C Lowering Therapies 2026.

LDL cholesterol (LDL-C) is the central causal factor for atherosclerotic cardiovascular disease (ASCVD), and its reduction is a cornerstone of both primary and secondary prevention. Since the introduction of statins more than three decades ago, LDL-C-lowering therapy has expanded substantially, now encompassing ezetimibe, proprotein convertase subtilisin/kexin type 9 (PCSK9)-targeting agents, bempedoic acid, and other emerging modalities. This expanding therapeutic landscape has improved the feasibility of achieving guideline-recommended LDL-C targets, but it has also increased the complexity of clinical decision making. This review provides a contemporary and practical overview of the LDL-C-lowering strategies, beginning with the initial evaluation of patients with elevated LDL-C, including differentiation between primary and secondary causes and the identification of familial hypercholesterolemia (FH). We summarize the current treatment targets for primary and secondary prevention, highlight the optimal selection and use of statins, and discuss the assessment and management of statin intolerance, including the role of the nocebo effect. Non-statin therapies, including ezetimibe, bile acid sequestrants, PCSK9 inhibitors, inclisiran, and bempedoic acid, are reviewed with an emphasis on their mechanisms, efficacy, and clinical positioning. Advanced therapies for severe dyslipidemia, such as lipoprotein apheresis, lomitapide, and evinacumab, are also discussed in this review. Finally, we outline the future directions, including oral PCSK9 inhibitors, next-generation cholesteryl ester transfer protein (CETP) inhibitors, lipoprotein(a)-lowering agents, and genome-editing approaches. Collectively, these developments offer new opportunities to address unmet clinical needs, particularly in patients with FH, statin intolerance, and residual cardiovascular risk. A comprehensive understanding of these therapies is essential for further reducing the burden of ASCVD in the coming decades.

Humans↗

PubMed2025

Proteomics-enabled learning machine algorithms enhance the prediction of cardiovascular diseases in patients with type 2 diabetes mellitus.

BACKGROUND AND AIMS: Estimating the risk of cardiovascular disease (CVD) complications in type 2 diabetes mellitus (T2DM) patients is critical in the medical decision-making process. This study aimed to use a machine learning technique combined with proteomics to develop personalized models for predicting CVD in patients with T2DM. METHODS AND RESULTS: In total, 874 patients with T2DM and 2,920 Olink proteins obtained from the UK Biobank were used in this study. Proteins were screened using Cox regression and LASSO regression. A basic model containing clinical features and a full model combining proteome and clinical features were constructed using the random survival forest algorithm. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the predictive performance of the models and compare them with other CVD predictive models. Compared with the basic model, the full model performed better in predicting CVD, with time-dependent AUCs of 0.81 (3 years), 0.74 (5 years) and 0.74 (10 years) (0.77, 0.69 and 0.67). We calculated the risk scores of the Framingham, ASCVD and Score2-Diabetes models. The results revealed that the prediction performance of the full model was also better than that of the abovementioned models. In terms of differentiation accuracy, the results of the net reclassification improvement index and integrated discrimination improvement index showed that the full model can identify high-risk individuals more accurately (accuracy rate: 79% vs. 69%). CONCLUSIONS: Proteomics can be used to predict cardiovascular complications in diabetic patients. It is also necessary to consider the applicability of the model due to the limitations of the sample size and the constraints of proteomics in clinical applications.

Humans↗

PubMed2026

Monogenic ALB Variants as Determinants of Severe Hypercholesterolemia: A Population-Based Cohort Study.

BACKGROUND: Hypoalbuminemia is associated with several risk factors for myocardial infarction, including hypercholesterolemia, liver disease, kidney disease, and diabetes. Homozygosity of loss-of-function (LoF) variants in the ALB gene, which encodes albumin, is a known cause of congenital hypoalbuminemia. Studies have also shown that heterozygous ALB LoF variants are associated with increases in low-density lipoprotein cholesterol (LDL-C), comparable to those seen in familial hypercholesterolemia. OBJECTIVES: This study examined the effect of ALB LoF variants and other causes of low albumin on LDL-C levels in 2 population biobanks. METHODS: This study used data from 2 large cohorts with linked electronic health record and genetic information: Geisinger's MyCode Community Health Initiative, a health care population based in Pennsylvania, USA; and the National Institutes of Health All of Us Research Program, a nationwide epidemiologic cohort. LDL-C values were adjusted for lipid-lowering medication use. Myocardial infarction diagnoses were extracted from electronic health records using International Classification of Diseases codes. A polygenic score for serum albumin was calculated for participants of European ancestry. Linear regression models were used to estimate associations, and results were meta-analyzed across cohorts using fixed-effects models. RESULTS: Among 155,530 MyCode and 405,701 All of Us adult participants, 77 individuals (1 of 7,289) carried an ALB LoF variant. Among noncarriers, a 1 g/dL decrease in serum albumin was associated with a 10.9 mg/dL (95% CI:, 10.4-11.4) decrease in LDL-C. In contrast, ALB LoF variants were associated with a 0.69 g/dL (95% CI: 0.60-0.78) reduction in serum albumin and a 38.3 mg/dL (95% CI: 28.2-48.5) increase in LDL-C. Paradoxically, whereas monogenic determinants of hypoalbuminemia were associated with increased LDL-C, polygenic determinants of lower albumin were associated with a 0.22 mg/dL (95% CI: 0.17-0.26) decrease in LDL-C per decile. CONCLUSIONS: ALB LoF variants represent a previously underrecognized monogenic cause of elevated LDL-C, with effect sizes slightly less than canonical familial hypercholesterolemia variants. The divergent effects of ALB-mediated vs polygenic or physiological reductions in albumin on LDL-C suggest distinct underlying mechanisms.

Humans↗