Lipoprotein(a) and Cardiovascular Disease

Persistent lipoprotein(a) exposure and its association with clinical outcomes after acute myocardial infarction: a longitudinal cohort study

AIMS

To assess the link between persistent lipoprotein(a) [Lp(a)] exposure levels and clinical outcomes in patients with acute myocardial infarction (AMI).

METHODS

This longitudinal cohort study included 1131 AMI patients, categorizing persistent Lp(a) exposure based on measurements at admission and after 1 year. Patients were segmented into four groups using a 300 mg/L Lp(a) threshold: (1) persistent low Lp(a) (lowon admission - lowat 1 year); (2) fortified Lp(a) (lowon admission - highat 1 year); (3) attenuated Lp(a) (highon admission - lowat 1 year); and (4) persistent high Lp(a) (highon admission - highat 1 year). Multivariate Cox regression, subgroup analysis and sensitivity analysis assessed the association between Lp(a) trajectories and major adverse cardiovascular and cerebrovascular events (MACCE), cardiovascular death, non-fatal MI, non-fatal stroke, unplanned revascularization, and all-cause death.

RESULTS

Over a median 50-month follow-up, 343 (35.70%) patients encountered MACCE, and 210 (18.70%) died, including 126 (11.20%) from cardiovascular causes. The group with persistent high Lp(a) faced increased risk of MACCE (HRadjusted, 1.871; 95% CI: 1.474-2.374), non-fatal stroke (HRadjusted, 1.647; 95% CI: 1.031-2.632), unplanned revascularization (HRadjusted, 1.571; 95% CI: 1.008-2.449), and both all-cause (HRadjusted, 1.546; 95% CI: 1.134-2.108) and cardiovascular death (HRadjusted, 2.163; 95% CI: 1.405-3.331), compared to the persistent low Lp(a) group.

CONCLUSIONS

In AMI patients, sustained high Lp(a) levels were significantly associated with increased risk of MACCE, non-fatal stroke, unplanned revascularization, and both all-cause and cardiovascular death.

Identification of plasma proteomic markers underlying polygenic risk of type 2 diabetes and related comorbidities

Genomics can provide insight into the etiology of type 2 diabetes and its comorbidities, but assigning functionality to non-coding variants remains challenging. Polygenic scores, which aggregate variant effects, can uncover mechanisms when paired with molecular data. Here, we test polygenic scores for type 2 diabetes and cardiometabolic comorbidities for associations with 2,922 circulating proteins in the UK Biobank. The genome-wide type 2 diabetes polygenic score associates with 617 proteins, of which 75% also associate with another cardiometabolic score. Partitioned type 2 diabetes scores, which capture distinct disease biology, associate with 342 proteins (20% unique). In this work, we identify key pathways (e.g., complement cascade), potential therapeutic targets (e.g., FAM3D in type 2 diabetes), and biomarkers of diabetic comorbidities (e.g., EFEMP1 and IGFBP2) through causal inference, pathway enrichment, and Cox regression of clinical trial outcomes. Our results are available via an interactive portal ( https://public.cgr.astrazeneca.com/t2d-pgs/v1/ ).

Lipoprotein(a) as a Causal Risk Factor for Cardiovascular Disease

Purpose of Review

Lipoprotein(a) [Lp(a)], an atherogenic low-density lipoprotein cholesterol (LDL-C)-like molecule, has emerged as an important risk factor for the development of atherosclerotic cardiovascular disease (ASCVD). This review summarizes the evidence supporting Lp(a) as a causal risk factor for ASCVD and calcific aortic valve stenosis (CAVS).

Recent Findings

Lp(a) is largely (~ 90%) genetically determined and approximately 20% of the global population has elevated Lp(a). The unique structure of Lp(a) leads to proatherogenic, proinflammatory, and antifibrinolytic properties. Data from epidemiological, genome-wide association, Mendelian randomization, and meta-analyses have shown a clear association between Lp(a) and ASCVD, as well as CAVS. There are emerging data on the association between Lp(a) and ischemic stroke, peripheral arterial disease, and heart failure; however, the associations are not as strong.

Summary

Several lines of evidence support Lp(a) as a causal risk factor for ASCVD and CAVS. The 2024 National Lipid Association guidelines, 2022 European Atherosclerosis Society, and 2021 Canadian Cardiology Society guidelines recommend testing Lp(a) once in all adults to guide primary prevention efforts. Further studies on cardiovascular outcomes with Lp(a) targeted therapies will provide more insight on causal relationship between Lp(a) and cardiovascular disease.

Lipoprotein(a) molar concentrations rather than genetic variants better predict coronary artery disease risk and severity in Han Chinese population

BACKGROUND

It is well established that increased lipoprotein(a) [Lp(a)] is a significant risk factor for coronary artery disease (CAD). Plasma Lp(a) levels are genetically determined and vary widely between different races, regions and individuals. However, most studies on Lp(a) associated genetic variants have focused on the Caucasian population currently. Our study aimed to test the associations among LPA genetic variants, Lp(a) concentrations, and CAD in a Han Chinese cohort.

METHODS

A total of 3779 patients undergoing coronary angiography were recruited from Tongji Hospital. LPA Kringle IV type 2 (KIV-2) copies were detected using TaqMan probe real-time quantitative polymerase chain reaction (qPCR) analysis and fifteen single nucleotide polymorphisms (SNPs) within the LPA gene were detected using TaqMan probe genotyping analysis. LPA genetic risk score (GRS) was computed based on seven SNPs associated with Lp(a). Associations of LPA genetic variants with Lp(a) and CAD were evaluated using linear regression analyses and Logistic regression analyses, respectively.

RESULTS

Compared with the first quartile of Lp(a), the fourth quartile exhibited a significant association with CAD [odds ratio (OR): 2.08, 95% confidence interval (CI): 1.67-2.59, p < 0.001], multivessel CAD [OR: 2.54, 95% CI: 2.06-3.12, p < 0.001], and high Gensini scores [OR: 2.17, 95% CI: 1.77-2.66, p < 0.001] after multivariable adjustment for cardiovascular risk factors. Both LPA GRS and KIV-2 quartiles were associated with Lp(a) concentrations (both p for trend < 0.001). However, after false discovery rate (FDR) correction, there were no significant associations of LPA genetic variants with CAD, multivessel CAD or high Gensini scores.

CONCLUSIONS

Our findings indicate LPA genetic variants can affect Lp(a) levels, but do not exceed Lp(a) molar concentrations to predict CAD incidence and severity usefully, highlighting the importance of Lp(a) detection and management.

Prevalence of Lp(a) in a real-world Portuguese cohort: implications for cardiovascular risk assessment

BACKGROUND

Cardiovascular disease (CVD) is a major cause of mortality worldwide, necessitating more refined strategies for risk assessment. Recently, lipoprotein(a) [Lp(a)] has gained attention for its distinctive role in atherosclerosis, yet its prevalence and impact for cardiovascular risk assessment are not well-documented in the Portuguese population. This study aimed to characterize Lp(a) levels in a real-world Portuguese cohort, investigating its prevalence and association with CVD risk.

METHODS

Retrospective and cross-sectional study of adults who underwent serum Lp(a) analysis in a Portuguese hospital between August 2018 and June 2022. Demographic and anthropometric data, laboratory values, relevant comorbidities and lipid-lowering medication were collected.

RESULTS

Of 1134 participants, 28.7% had elevated Lp(a) levels (> 125 nmol/L). A higher prevalence was observed in those with atherosclerotic cardiovascular disease (ASCVD) (45.9%) or a family history of premature CVD (41.9%). Additionally, a significant association was found between elevated Lp(a) levels and traditional CVD risk factors, including hypertension, dyslipidemia, and diabetes mellitus. Among those classified as having low-to-moderate CVD risk by (Systematic COronary Risk Evaluation 2) SCORE2, 55.7% exhibited high Lp(a) levels (> 75 nmol/L), suggesting a potential higher risk of CVD disease.

CONCLUSIONS

The prevalence of elevated Lp(a) in Portugal, notably among those with ASCVD or premature CVD history, is concerning. This study underscores the potential of Lp(a) assessment for a more comprehensive approach to cardiovascular risk assessment. This could improve the stratification of CVD risk and identify individuals who could benefit from early intensive management of their risk factors, ultimately reducing the burden of CVD and cardiovascular-related mortality.

Lipid nanoparticle delivery of TALEN mRNA targeting LPA causes gene disruption and plasma lipoprotein(a) reduction in transgenic mice

Lipoprotein(a), or Lp(a), is encoded by the LPA gene and is a causal genetic risk factor for cardiovascular disease. Individuals with high Lp(a) are at risk for cardiovascular morbidity and are refractory to standard lipid-lowering agents. Lp(a)-lowering therapies currently in clinical development require repetitive dosing, while a gene editing approach presents an opportunity for a single-dose treatment. In this study, mRNAs encoding transcription activator-like effector nucleases (TALENs) were designed to target human LPA for gene disruption and permanent Lp(a) reduction. TALEN mRNAs were screened in vitro and found to cause on-target gene editing and target protein reduction with minimal off-target editing. TALEN mRNAs were then encapsulated with LUNAR, a proprietary lipid nanoparticle (LNP), and administered to transgenic mice that expressed a human LPA transgene. A single dose of TALEN mRNA-LNPs reduced plasma Lp(a) levels in mice by over 80%, which was sustained for at least 5 weeks. Moreover, both standard and long-read next-generation sequencing confirmed the presence of gene-inactivating deletions at LPA transgene loci. Overall, this study serves as a proof-of-concept for using TALEN-mediated gene editing to disrupt LPA in vivo, paving the way for the development of a feasible gene editing therapy for patients with high Lp(a).

Advanced biomolecular spectroscopic profiling of cardiovascular disease macromolecular markers: SIL-6, IL-9, LpA, ApoB, PCSK9 and NT-ProBNP for rapid in-situ detection and monitoring

Cardiovascular disease (CVD) remains a major global health concern and a leading cause of morbidity and mortality worldwide. Early-diagnosis and prompt medical attention are crucial in managing and reducing overall impact on health-and-wellbeing, necessitating the development of innovative diagnostics, which transcend traditional methodologies. Raman spectroscopy uniquely provides molecular fingerprinting and structural information, offering insights into biochemical composition. Integration of Raman spectroscopy with advanced machine learning is established as a powerful clinical adjunct for point-of-care detection of CVDs. A non-invasive, label-free spectroscopic platform coupled with neural network algorithm, 'SKiNET' has been developed to accurately detect the biomolecular changes within plasma of CVD versus healthy cohorts, enabling rapid diagnosis and longer-term monitoring, where the real-time capabilities provide dynamic assessment of progression, aligning treatment strategies with evolving states. CVD has been detected and classified via SKiNET with 88.6 %-accuracy, 92.9 %-specificity and 85.1 %-sensitivity and with 83.8 %-accuracy. The hybrid RS-SKiNET bio-molecularly specific detection signposted a comprehensive panel of CVD-indicative biomarkers, including SIL-6, IL-9, LpA, ApoB, PCSK9 and NT-ProBNP, offering important insights into disease mechanisms and risk-stratification. This multidimensional technique holds potential for improved patient-and-healthcare management for CVDs, laying the platform toward high-throughput biomolecular profiling of CVD-indicative macromolecular biomarkers, particularly vital for widespread point-of-care diagnostics and monitoring.

Statins-Their Effect on Lipoprotein(a) Levels

Lipoprotein(a) (Lp(a)) serum concentration plays a crucial role as a risk factor in cardiovascular diseases and is gaining more and more attention. Patients with elevated lipoprotein(a) levels are often prescribed statins as they also have high concentrations of low-density lipoprotein cholesterol (LDL-C). Statins are drugs that successfully decrease LDL-C, but their effectiveness in Lp(a) levels reduction is uncertain. The aim of this study was to evaluate if statin therapy can affect Lp(a) concentration. A literature search on databases like PubMed, Oxford Academic, ScienceDirect, Embase, The Cochrane Library, Scopus, and Springer Link was conducted from 1 May to 10 August 2024 with the aim of finding studies concerning the effect of statins on Lp(a) levels. Only randomised control studies and studies with a placebo/comparator arm were included. For calculations, SPSS Statistics software version 29 was used. The risk of bias for this study was assessed using the revised Cochrane risk-of-bias tool for randomised trials. Overall, 43 studies (13,264 participants in study arms and 11,676 in control arms) were included in the analysis. The mean difference of absolute change in Lp(a) concentration for all 43 studies equaled 0.22 mg/dL and was not clinically significant. Egger's regression-based test resulted in no risk of bias in this study (p = 0.404). In conclusion, statin therapy does not significantly affect Lp(a) levels. Results of this work suggest that people with high Lp(a) levels will not change their Lp(a)-associated cardiovascular (CV) risk by statin administration.

Reliable and precise lipoprotein detection based on a self-priming hairpin-triggered Cas12a/crRNA based signaling strategy

Cardiovascular disease, intimately linked to dyslipidemia, is one of the leading global causes of mortality. Dyslipidaemia often presents as an elevated concentration of low-density lipoprotein (LDL) and a decreased concentration of high-density lipoprotein (HDL). Therefore, accurately measuring the levels of LDL and HDL particles is crucial for assessing the risk of developing cardiovascular diseases. However, conventional approaches can commonly quantify HDL/LDL particles by detecting cholesterol or protein molecules within them, which may fail to reflect the number of intact particles. In addition, these approaches are sometimes tedious and time-consuming, highlighting the need for a novel method for precise and effective identification of intact HDL and LDL particles. We have devised a technique that allows accurately and sensitively determining the levels of intact HDL and LDL in a sample without the need for isolation. This method relies on antibody-based immobilization and a self-priming hairpin-triggered Cas12a/crRNA signaling strategy. Based on the elegant design, this technique can be employed to directly and precisely measure the concentration of "actual" HDL and LDL particles, rather than the cholesterol content inside HDL and LDL. The approach has detection limits of 12.3 mg dL-1 and 5.4 mg dL-1 for HDL and LDL, respectively, and is also suitable for analyzing lipoproteins in clinical samples. Hence, this platform exhibits immense potential for clinical applications and health management.

The study on cuproptosis in Alzheimer's disease based on the cuproptosis key gene FDX1

Background

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by memory and cognitive impairments. Previous studies have shown neuronal death in the brains of AD patients, but the role of cuproptosis and its associated genes in AD neurons remains unclear.

Methods

Intersection analysis was conducted using the AD transcriptome dataset GSE63060, neuron dataset GSE147528, and reported cuproptosis-related genes to identify the cuproptosis key gene FDX1 highly expressed in AD. Subsequently, cell experiments were performed by treating SH-SY5Y cells with Aβ25-35 to establish AD cell model. The real-time reverse transcriptase-polymerase chain reaction (RT-qPCR) and western blotting (WB) assays were employed to detect the expression levels of FDX1, DLAT, and DLST. Cell proliferation was analyzed by counting Kit-8 (CCK8), mitochondrial ROS levels were analyzed using flow cytometry. shRNA was used to downregulate FDX1 expression, followed by repetition of the aforementioned experiments. Clinical experiments utilized qPCR to detect FDX1 mRNA levels in peripheral venous blood of patients, and analyzed FDX1 expression differences in different APOE genotypes of AD patients. Finally, a protein-protein interaction (PPI) network of FDX1 was constructed based on the GeneMANIA database, immune infiltration analysis was conducted using R language, and transcription factors prediction for FDX1 was performed based on the ENCODE database.

Results

The cuproptosis key gene FDX1 showed significantly higher expression in peripheral blood and neuron models of AD compared to non-AD individuals, with significantly higher expression in APOE ε4/ε4 genotype than other APOE genotype of AD patients. Knockdown of FDX1 expression reduced the lipidation levels of DLAT and DLST in neurons, alleviated ROS accumulation in mitochondria, improved cell viability, and mitigated cuproptosis. Immune infiltration analysis results indicated a high enrichment of peripheral blood γδ-T lymphocytes in AD, and FDX1 was significantly associated with the infiltration of four immune cells and may be regulated by three transcription factors.

Conclusion

The cuproptosis key gene FDX1 is highly expressed in AD and may promote cuproptosis in AD neurons by regulating the lipidation levels of DLAT and DLST, thereby participating in the onset and development of AD. This provides a potential target for the diagnosis and treatment of AD.

Association of white matter hyperintensities with lipoprotein (a) levels: insights from a cohort study

Background

Little is known about the relationship between lipoprotein (a) [Lp(a)] and cerebral white matter hyperintensities (WMH). The aim of the study was to examine if elevated Lp(a) levels are associated with higher burden of WMH.

Methods

We retrospectively investigated associations between Lp(a) and the burden of WMH among patients with confirmed diagnosis of acute ischemic stroke or transient ischemic attacks. WMH burden was assessed using 3-Tesla brain MRI and graded according to the Fazekas score. Multivariable models were generated to determine the contribution of Lp(a) to the presence and extent of WMH.

Results

One hundred and fifty-three patients were included (mean age, 45.9 years; 35.9% women). When the study population was stratified by Lp(a) level into three categories, low (<75 nmol/L), moderate (75 to <125 nmol/L), and high (≥125 nmol/L), the distribution of the three groups was 60.8, 15.0 and 24.2%, respectively. High Lp(a) Level was associated with higher burden of both periventricular WMH and deep WMH compared to the lower level (odds ratio [OR], 4.4; 95% confidence interval [CI], 1.60-12.07; p = 0.004; and OR, 5.6; CI, 1.69-14.7; p = 0.001, respectively).

Conclusion

We show in this cohort of patients that a higher burden of WMH was observed in patients with higher level of Lp(a). Further studies are needed to confirm this observation and assess whether lowering Lp(a) level may be a potential therapeutic target for mitigating the development of WMH.

Variation in lipoprotein(a) response to potent lipid lowering: The role of apolipoprotein (a) isoform size

BACKGROUND

Lipoprotein(a) [Lp(a)] is a driver of residual cardiovascular risk. Proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) decrease Lp(a) with significant heterogeneity in response. We investigated contributors to the heterogeneous response.

METHODS

CHOlesterol Reduction and Residual Risk in Diabetes (CHORD) was a prospective study examining lipid lowering in participants with a low-density lipoprotein cholesterol (LDL-C) >100 mg/dL with and without diabetes (DM) on lipid lowering therapy (LLT) for 30-days with evolocumab 140 mg every 14 days combined with either atorvastatin 80 mg or ezetimibe 10 mg daily. Lp(a) level was measured by immunoturbidometry, and the apolipoprotein (a) [apo(a)] isoform size was measured by denaturing agarose gel electrophoresis and western blotting. We examined the change in Lp(a) levels from baseline to 30 days.

RESULTS

Among 150 participants (mean age 50 years, 58% female, 50% non-White, 17% Hispanic, 50% DM), median (interquartile range) Lp(a) was 27.5 (8-75) mg/dL at baseline and 23 (3-68) mg/dL at 30 days, leading to a 10% (0-36) median reduction (P < 0.001). Among 73 (49%) participants with Lp(a) ≥30 mg/dL at baseline, there was a 15% (3-25) median reduction in Lp(a) (P < 0.001). While baseline Lp(a) level was not correlated with change in Lp(a) (r = 0.04, P = 0.59), apo(a) size directly correlated with Lp(a) reduction (P < 0.001). After adjustment for age, sex, race/ethnicity, DM, and type of LLT, apo(a) size remained positively associated with a reduction in Lp(a) (Beta 0.95, 95% confidence interval, 0.93-0.97, P < 0.001).

CONCLUSION

Our data demonstrate variation in Lp(a) reduction with potent LLT. Change in Lp(a) was strongly associated with apo(a) isoform size.

Molecularly imprinted polymer sensors for biomarker detection in cardiovascular diseases

Cardiovascular diseases (CVDs) are recognized as a significant threat to global health. The rapid, sensitive, and precise measurement of relevant biomarkers is essential for the timely diagnosis of CVDs. Molecularly imprinted polymers (MIPs), which act as artificial receptor recognition materials, have been extensively utilized in the detection of CVD biomarkers. Their widespread application is due to their cost-effectiveness, physical and chemical stability, straightforward preparation processes, and excellent compatibility with various sensor types. This review introduces the principles of MIP sensors in combination with electrochemical, optical, thermal transfer, and acoustic detection techniques for detecting CVD-related biomarkers. It then discusses methods developed over the past decade for detecting biomarkers of three major CVDs-coronary artery disease (CAD), acute myocardial infarction (AMI), and heart failure (HF)-using MIP sensors. Finally, the review summarizes the potential of MIP sensors in CVD biomarker detection and provides an outlook on future research directions.

Correlation between lipoprotein(a) and recurrent ischemic events post-cerebral vascular stent implantation

BACKGROUND AND AIM

The association of Lipoprotein(a) (Lp[a]) with recurrent ischemic events in stented patients remains uncertain. So, this research aimed to investigate the impact of elevated Lp(a) levels on the occurrence of ischemic events in this specific patient population.

METHODS

Totally 553 patients who underwent intracranial or extracranial artery stent implantation were included. Baseline data were collected and postoperative ischemic outcomes were followed up. Cox regression analysis was used to investigate the association between Lp(a) and outcomes, while accounting for confounding factors. Finally, we established prediction models based on nomogram.

RESULTS

Of total 553 patients, a number of 107 (19.3%) experienced outcomes. These included 46 cases (25.4%) in group with elevated Lp(a) levels (>30 mg/dL) and 61 cases (16.4%) in non-elevated group (χ2=6.343, p=0.012). The group with elevated Lp(a) was 1.811 times more likely to experience ischemic events than the non-elevated group, each 1 mg/dL increase in Lp(a) resulted in a 1.008-fold increase in the recurrence rate of ischemic events. In addition, sex (male), previous history of coronary heart disease, decreased albumin, elevated very low density lipoprotein cholesterol and poorly controlled risk factors (including blood pressure and blood sugar) were also associated with a high risk of recurrent ischemic events after stent implantation.

CONCLUSION

Lp(a) elevation was a significant risk factor for ischemic events in symptomatic patients who underwent intracranial or extracranial artery stenting.

Expression of Monocytes Subsets in Patients Diagnosed With Coronary Artery Atherosclerosis and Their Impact on Disease Severity

Introduction Many studies have supported inflammation as a mediator of lipoprotein (a) (Lp(a)) induced increase in cardiovascular disease risk, as it has pro-inflammatory effects on endothelial cells and monocytes. Aim This study aims to correlate Lp(a) level with different monocyte subsets in coronary atherosclerotic patients with different severity. Method The study included 60 patients with a mean age of 53.1 ± 10.5 diagnosed as coronary atherosclerotic patients by coronary angiography. Lp levels were measured using enzyme-linked immunosorbent assay (ELISA), while blood counts and monocyte subsets were analyzed by flow cytometry, and 30 apparently healthy individuals were included as the control group. Results Patients showed significantly higher median monocytic %, Lp(a), and higher C-reactive protein (CRP) values than the control group. Patients were subdivided into two groups: normal Lp(a) < 6.2 mg/dL (n = 24) and hyperlipoproteinemia(a) (hyper Lp(a)) ≥ 6.2 mg/dL (n = 36). Patients with hyper Lp(a) had higher non-classical monocytes (31.5% vs. 20%). Coronary atherosclerosis severity was associated with higher Lp(a) levels as well as non-classical monocytes; patients with mild atherosclerosis showed the highest classical and intermediate subset levels. While for a non-classical subset, patients with severe atherosclerosis showed the highest median level. A significant moderate positive correlation between Lp(a) and monocyte counts, as well as monocyte-lymphocyte (M/L) index and non-classical monocytes, was found. Conclusions Hyper Lp(a) and increased count of non-classical monocytes are significantly increased with disease progression (triple-vessel coronary disease risk). These results suggest that the expansion of non-classical monocytes is a cardiovascular disease (CVD) risk and predictor for disease severity. Strategies targeting inflammatory monocytes may slow CVD progression.

High lipoprotein(a) is a risk factor for peripheral artery disease, abdominal aortic aneurysms, and major adverse limb events

PURPOSE OF REVIEW

To summarize evidence from recent studies of high lipoprotein(a) as a risk factor for peripheral artery disease (PAD), abdominal aortic aneurysms (AAA), and major adverse limb events (MALE). Additionally, provide clinicians with 10-year absolute risk charts enabling risk prediction of PAD and AAA by lipoprotein(a) levels and conventional risk factors.

RECENT FINDINGS

Numerous studies support high lipoprotein(a) as an independent risk factor for PAD, AAA, and MALE. The strongest evidence is from the Copenhagen General Population Study (CGPS) and the UK Biobank, two large general population-based cohorts. In the CGPS, a 50 mg/dl higher genetically determined lipoprotein(a) associated with hazard ratios of 1.39 (1.24-1.56) for PAD and 1.21 (1.01-1.44) for AAA. Corresponding hazard ratio in the UK Biobank were 1.38 (1.30-1.46) and 1.42 (1.28-1.59). In CGPS participants with levels at least 99th (≥143 mg/dl) vs, less than 50th percentile (≤9 mg/dl), hazard ratios were 2.99 (2.09-4.30) for PAD and 2.22 (1.21-4.07) for AAA, with a corresponding incidence rate ratio for MALE of 3.04 (1.55-5.98) in participants with PAD.

SUMMARY

Evidence from both observational and genetic studies support high lipoprotein(a) as a causal risk factor for PAD, AAA, and MALE, and highlight the potential of future lipoprotein(a)-lowering therapy to reduce the substantial morbidity and mortality associated with these diseases.

Prognostic role of lipoprotein(a) in atherosclerotic cardiovascular disease risk from a perspective on current risk stratification

Lipoprotein(a) [Lp(a)] is an emerging predictor for atherosclerotic cardiovascular disease (ASCVD) but the association from a perspective on current risk stratification was unknown. A cohort of 9944 Chinese patients with ASCVD was recruited and refined into very-high-risk (VHR) and non-VHR subgroups according to current guideline. Lp(a) plasma levels were divided by its concentration (<30, 30-50, 50-75, and ≥75 mg/dL) and percentile zones (<25th, 25-50th, 50-75th, 75-90th, ≥90th). Cardiovascular events (CVEs) occurred during an average of 38.5 months' follow-up were recorded. We found that Lp(a) was increased with risk stratification of ASCVD increasing. Prevalence of CVEs had a significantly increasing trend with gradients of Lp(a) elevation in VHR but not in non-VHR subgroup. The adjusted HRs (95%CIs) for CVEs were 1.75(1.25-2.46) in the highest group of Lp(a) ≥75 mg/dL compared with the group of Lp(a) <30 mg/dL as the reference in overall patients, 2.18(1.32-3.58) in VHR subgroup and 1.43(0.93-2.18) in non-VHR subgroup, respectively. The adjusted HRs (95%CIs) at the highest grade of Lp(a) levels (≥90th) were 1.72(1.19-2.50) in overall population, 2.83(1.53-5.24) in VHR subgroup and 1.38(0.86-2.12) in non-VHR subgroup, respectively. These findings suggested that Lp(a) might contribute more to CVEs risk in VHR subgroup of ASCVD.

Does flaxseed supplementation affect apo-lipoproteins? A GRADE-assessed systematic review and meta-analysis

Several studies indicated the ameliorating effects of flaxseed supplementation on apolipoproteins, although others have conflicting results. Therefore, the present research was conducted in order to accurately and definitively understand the effect of flaxseed on apolipoproteins in adults. All articles published up to Juan 2024 were systematically searched through PubMed, Scopus, Embase, and Web of Science to collect all randomized clinical trials (RCTs). A random effects model was used to measure the combined effect sizes. Also, standardized mean difference (SMD) and 95 % confidence interval (CI) were used to report the combined effect size. Our results showed that flaxseed supplementation significantly reduced apo-BI (SMD: -0.57; 95 % CI: -0.95, -0.19, p = 0.003; I2 = 83.2 %, heterogeneity p < 0.001) and lipo(a) decreased (SMD: -0.34; 95 % CI: -0.59, -0.09, p=0.007; I2=30.3 %, heterogeneity p=0.197). However, flaxseed did not change apo-AI levels (SMD: -0.37; 95 % CI: -0.87, 0.13, p = 0.146; I2 = 89.2 %, p-heterogeneity < 0.001). This meta-analysis has shown that flaxseed supplementation may have beneficial effects on apolipoproteins. Future high-quality, long-term clinical trials are needed to confirm our results.

Reduction in Lp(a) after a medically supervised, prolonged water-only fast followed by a whole-plant-food diet free of added salt, oil, and sugar: a case report

Lipoprotein(a) [Lp(a)] is a low-density lipoprotein (LDL) associated with increased cardiovascular disease (CVD) risk. High Lp(a) levels are genetically determined and lack effective pharmacotherapy. This case report describes a 67-year-old, vegan male with elevated blood pressure (BP), total cholesterol (TC), LDL, and Lp(a) who underwent a 10-day, medically supervised water-only fast followed by a 6-week SOS-free diet (free of added salt, oil, and sugar). At the 6-week-follow-up visit, he experienced significant reductions in several CVD risk markers, including blood pressure, total cholesterol, LDL, and high-sensitivity C-reactive protein. He also experienced an unexpected decrease in Lp(a), from 236.3 nmol/L to 143.4 nmol/L (39%). This decrease is comparable to reductions achieved with proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors. These findings suggest that prolonged water-only fasting and/or an SOS-free diet may be an effective alternative approach for managing high Lp(a) levels and reducing CVD risk in a vegan population, warranting further research.

Correlation between circulating lipoprotein(a) levels and cardiovascular events risk in patients with type 2 diabetes

Background

High circulatory lipoprotein(a) [Lp(a)] concentration promotes atherosclerosis; however, its efficacy in predicting the extent of atherosclerotic coronary heart disease (CHD) with coronary artery obstruction and major adverse cardiovascular events (MACEs) in diabetic patients remains questionable. This study aimed to examine whether elevated circulating Lp(a) levels exacerbate CHD and to assess their utility in predicting MACEs in individuals diagnosed with type 2 diabetes mellitus (T2DM).

Methods

In total, 4332 patients diagnosed with T2DM who underwent coronary angiography (CAG) were included and categorized into two groups (CHD and non-CHD) based on the CAG results. We used a correlation analysis to explore the potential links between the levels of circulating Lp(a) and CHD severity. Cox regression analysis was performed to evaluate MACEs.

Results

The concentrations of circulating Lp(a) were markedly elevated in the CHD group and positively correlated with disease severity. Our results indicate that elevated circulating Lp(a) is a crucial risk factor that significantly contributes to both the progression and severity of CHD. The differences between the two groups are evident in the risk of CHD occurrence [odds ratio (OR) = 1.597, 95 % confidence interval (CI): 1.354-1.893, p < 0.001], the different levels of vessel involvement (OR = 1.908 for triple-vessel vs. single-vessel disease, 95 % CI: 1.401-2.711, p < 0.001), and their relation to the Gensini Score (OR = 2.002 for high vs. low GS, 95 % CI: 1.514-2.881, p < 0.001). Over the course of the 7-year follow-up period, the multivariate Cox regression analysis indicated that increased levels Lp(a) levels are independently associated with the occurrence of MACEs [hazard ratio (HR) = 1.915, 95 % CI: 1.571-2.493, p < 0.001].

Conclusion

We confirmed a positive correlation among circulating Lp(a) levels, CHD lesions count, and Gensini scores. Moreover, Lp(a) levels have predictive significance for the occurrence of MACEs in T2DM patients.

Lipoprotein(a) as a novel biomarker for predicting adverse outcomes in ischemic heart failure

Background

Lipoprotein(a) [Lp(a)] is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD). However, the association between Lp(a) and adverse outcomes in patients with ischemic heart failure (IHF) remains unclear. This study aimed to investigate the relationship between serum Lp(a) levels and the incidence of major adverse cardiovascular events (MACE) in IHF patients.

Methods

In this single-center, retrospective cohort study, 1,168 IHF patients who underwent elective percutaneous coronary intervention (PCI) were enrolled. Patients were divided into four groups based on Lp(a) quartiles. The primary endpoint was MACE, defined as a composite of all-cause mortality, non-fatal myocardial infarction (MI), and any revascularization. Cox proportional hazards models were used to evaluate the association between Lp(a) quartiles and adverse outcomes. Restricted cubic spline (RCS) curve were constructed to explore the nonlinear relationship between Lp(a) levels and MACE risk. Subgroup analyses were performed to investigate the association in different subgroups.

Results

The incidence of MACE increased significantly across Lp(a) quartiles (Quartile 4 vs. Quartile 1: 46.4% vs. 22.9%, P < 0.001). After adjusting for confounding factors, the highest Lp(a) group remained independently associated with an increased risk of MACE (HR, 95% CI: 2.28, 1.69-3.07, P < 0.001, P for trend <0.001), all-cause mortality (HR, 95% CI: 2.33, 1.54-3.54, P < 0.001, P for trend = 0.01), and any revascularization (HR, 95% CI: 2.18, 1.35-3.53, P = 0.002, P for trend = 0.001). The RCS model demonstrated a nonlinear positive relationship between Lp(a) levels and MACE risk. Subgroup analysis revealed a significant interaction with body mass index (BMI), with a more pronounced association observed in patients with higher BMI (P for interaction <0.001).

Conclusion

Elevated Lp(a) levels were independently associated with an increased risk of MACE, mortality, and revascularization in IHF patients, with a stronger effect in obese individuals.

Therapy for Hyperlipidemia

Significant advances in atherosclerotic cardiovascular (ASCVD) risk stratification and treatment have occurred over the past 10 years. While the lipid panel continues to be the basis of risk estimation, imaging for coronary artery calcium is now widely used in estimating risk at the individual level. Statins remain first-line agents for ASCVD risk reduction but in high-risk patients, ezetimibe, proprotein convertase subtilisin kexin-9 inhibitors, and bempedoic acid can be added to further reduce individual cardiovascular risk based on results of cardiovascular outcomes trials. Results of randomized control trials do not support use of medications targeted at triglyceride lowering for ASCVD risk reduction, but icosapent ethyl can be considered.

Cardiovascular Risk Estimation and Stratification Among Individuals with Hypercholesterolemia

PURPOSE OF THE REVIEW

This review aims to assess the variability in considering hypercholesterolemia for cardiovascular risk stratification in the general population. Recent literature on the integration of hypercholesterolemia into clinical risk scores and its interaction with other risk factors will be explored.

RECENT FINDINGS

The impact of hypercholesterolemia on risk estimation varies among different cardiovascular risk calculators. Elevated lipid levels during early life stages contribute to atherosclerotic plaque development, influencing disease severity despite later treatment initiation. The interplay between low-density lipoprotein cholesterol (LDLc), inflammatory markers and non-LDL lipid parameters enhances cardiovascular risk stratification. Studies have also examined the role of coronary artery calcium (CAC) score as a negative risk marker in populations with severe hypercholesterolemia. Furthermore, polygenic risk scores (PRS) may aid in diagnosing non-monogenic hypercholesterolemia, refining cardiovascular risk stratification and guiding lipid-lowering therapy strategies. Understanding the heterogeneity in risk estimation and the role of emerging biomarkers and imaging techniques is crucial for optimizing cardiovascular risk prediction and guiding personalized treatment strategies in individuals with hypercholesterolemia.

Lipoprotein(a) in children and adolescents with genetically confirmed familial hypercholesterolemia followed up at a specialized lipid clinic

Background and aim

Many children with an FH mutation also exhibit elevated lipoprotein(a) levels, which is an independent risk factor for atherosclerotic cardiovascular disease. Studies have reported higher levels of lipoprotein(a) in adult and middle-aged women than men. There is limited knowledge on the concentration and change of lipoprotein(a) levels in children with genetic FH, and therefore we investigated sex-differences in lipoprotein(a) level and change in lipoprotein(a) in girls and boys with genetically confirmed FH.

Methods

Medical records were reviewed retrospectively in 438 subjects with heterozygous FH that started follow-up below the age of 19 years at the Lipid Clinic, Oslo University Hospital in Norway, and of these we included 386 subjects with at least one Lp(a) measurement.

Results

Mean (SD) age at baseline was 13.8 (7.3) years and the age was similar between sexes. Girls had a higher lipoprotein(a) level than boys at baseline: median (25-75 percentile) 223 (108-487) vs. 154 (78-360) mg/L, respectively (p < 0.01). From baseline to follow-up measurement (mean [SD] 8.9 [6.1] years apart), the mean (95 % CI) absolute and percentage change in Lp(a) level in girls was 151.4 (54.9-247.8) mg/L and 44.8 (16.4-73.1) %, respectively, and in boys it was 66.8 (22.9-110.8) mg/L and 50.5 (8.8-92.3) %, respectively (both p > 0.05).

Conclusions

We found an increase in Lp(a) levels in children with genetic FH with age, and higher levels in girls than boys, which could impact risk assessment and future ASCVD. Further research is needed to elucidate whether subjects with FH could benefit from lipoprotein(a)-lowering therapies that are under current investigations.

Novel and Promising Therapies for Diabetic Dyslipidemia to Mitigate Residual Cardiovascular Risk

Diabetes is a major risk factor for atherosclerotic cardiovascular disease (ASCVD), and the dyslipidemia of diabetes is pivotal in the genesis of this leading cause of increased morbidity and mortality that burdens diabetic patients [...].

Lipoprotein (a) and the Occurrence of Lipid Disorders and Other Cardiovascular Risk Factors in Patients without Diagnosed Cardiovascular Disease

Background: Elevated lipoprotein (a) [Lp(a)] concentrations are linked mainly to genetic factors. The relationship between Lp(a) and other lipid disorders or cardiovascular (CV) risk factors has been less investigated. The aim of this study was to assess the occurrence of lipid disorders and other CV risk factors according to Lp(a) concentrations. Methods: A cross-sectional analysis of 200 primary-care patients who had not been diagnosed with CV disease was conducted. The following risk factors were assessed: older age, history of hypertension, diabetes mellitus or dyslipidemia, smoking, lack of physical activity, body mass index (BMI), and waist circumference. The following lipid parameters were measured: total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), and small, dense LDL (sdLDL-C). Patients were divided into two groups based on their Lp(a) concentrations: <30 mg/dL and ≥30 mg/dL. Results: In 70% of patients, the Lp(a) concentration was <30 mg/dL. The concentrations of lipid parameters did not differ between the groups. The rate of patients with sdLDL-C >1.0 mmol/L was higher in the low-Lp(a) group (10.0 vs. 1.7%, p = 0.04), with no significant differences regarding the other analyzed lipid disorders (p > 0.05). Both in the low- and high-Lp(a) group, most patients had two other abnormal lipid factors (45.0% and 60.0%, respectively). The distribution of impaired lipid parameters (p = 0.41) and other CV risk factors (p = 0.16) was similar in both groups. There was a lower rate of patients >60 years old (15.0% vs. 32.9%, p = 0.01) and with a BMI ≥ 25 kg/m2 (46.7% vs. 63.6%, p = 0.026) in the high-Lp(a) group, and previously diagnosed hyperlipidemia was more prevalent in this group (65.0% vs. 47.1%, p = 0.02). The occurrence of other cardiovascular risk factors did not differ significantly between the Lp(a) groups (p > 0.05). In the high-Lp(a) group, the highest proportion (25.0%) had two CV risk factors, and in the low-Lp(a) group, 31.4% had four CV risk factors. Conclusions: An elevated Lp(a) concentration is not related to the number of conventional CV risk factors or other impairment major lipid parameters.

Lipoprotein (a)-Related Inflammatory Imbalance: A Novel Horizon for the Development of Atherosclerosis

PURPOSE OF REVIEW

The primary objective of this review is to explore the pathophysiological roles and clinical implications of lipoprotein(a) [Lp(a)] in the context of atherosclerotic cardiovascular disease (ASCVD). We seek to understand how Lp(a) contributes to inflammation and arteriosclerosis, aiming to provide new insights into the mechanisms of ASCVD progression.

RECENT FINDINGS

Recent research highlights Lp(a) as an independent risk factor for ASCVD. Studies show that Lp(a) not only promotes the inflammatory processes but also interacts with various cellular components, leading to endothelial dysfunction and smooth muscle cell proliferation. The dual role of Lp(a) in both instigating and, under certain conditions, mitigating inflammation is particularly noteworthy. This review finds that Lp(a) plays a complex role in the development of ASCVD through its involvement in inflammatory pathways. The interplay between Lp(a) levels and inflammatory responses highlights its potential as a target for therapeutic intervention. These insights could pave the way for novel approaches in managing and preventing ASCVD, urging further investigation into Lp(a) as a therapeutic target.

Elevated lipoprotein(a) levels: A crucial determinant of cardiovascular disease risk and target for emerging therapies

Cardiovascular disease (CVD) remains a significant global health challenge despite advancements in prevention and treatment. Elevated Lipoprotein(a) [Lp(a)] levels have emerged as a crucial risk factor for CVD and aortic stenosis, affecting approximately 20 of the global population. Research over the last decade has established Lp(a) as an independent genetic contributor to CVD and aortic stenosis, beginning with Kare Berg's discovery in 1963. This has led to extensive exploration of its molecular structure and pathogenic roles. Despite the unknown physiological function of Lp(a), studies have shed light on its metabolism, genetics, and involvement in atherosclerosis, inflammation, and thrombosis. Epidemiological evidence highlights the link between high Lp(a) levels and increased cardiovascular morbidity and mortality. Newly emerging therapies, including pelacarsen, zerlasiran, olpasiran, muvalaplin, and lepodisiran, show promise in significantly lowering Lp(a) levels, potentially transforming the management of cardiovascular disease. However, further research is essential to assess these novel therapies' long-term efficacy and safety, heralding a new era in cardiovascular disease prevention and treatment and providing hope for at-risk patients.

Association between lipoprotein (a) and risk of atherosclerotic cardiovascular disease events among maintenance hemodialysis patients in Beijing, China: a single-center, retrospective study

BACKGROUND

Serum lipoprotein(a) [Lp(a)] is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD) in the general population, its association with ASCVD incidence in Chinese maintenance hemodialysis (MHD) patients remains unclear. We aimed to evaluate the relationship between Lp(a) levels and ASCVD incidence among MHD patients in Beijing, China.

METHODS

This retrospective, observational cohort study included MHD patients at Beijing Tongren Hospital from January 1, 2013 to December 1, 2020, and followed until December 1,2023. The primary outcome was ASCVD occurrence. Kaplan-Meier survival analysis was used to evaluate ASCVD-free survival in MHD patients, with stratification based on Lp(a) levels. Cox regression analyses were conducted to assess the association between Lp(a) levels and the occurrence of ASCVD.

RESULTS

A total of 265 patients were enrolled in the study. The median follow-up period were 71 months.78 (29.4%) participants experienced ASCVD events, and 118 (47%) patients died, with 58 (49.1%) deaths attributed to ASCVD. Spearman rank correlation analyses revealed positive correlations between serum Lp(a) levels and LDL-c levels, and negative correlations with hemoglobin, triglyceride, serum iron, serum creatinine, and albumin levels. Multivariate Cox regression analysis showed that Lp(a) levels ≥ 30 mg/L, increased age, decreased serum albumin levels, and a history of diabetes mellitus were significantly associated with ASCVD incidence.

CONCLUSIONS

This study demonstrated an independent and positive association between serum Lp(a) levels and the risk of ASCVD in MHD patients, suggesting that serum Lp(a) could potentially serve as a clinical biomarker for estimating ASCVD risk in this population.

Association between lipoprotein(a), fibrinogen and their combination with all-cause, cardiovascular disease and cancer-related mortality: findings from the NHANES

BACKGROUND

There is evidence indicating that both lipoprotein(a) [Lp(a)] and fibrinogen (FIB) are associated with mortality, However, the impact of their combination on mortality has not been determined. Thus, the aim of this study was to examine the association between the combination of Lp(a) and FIB with all-cause and cause-specific mortality.

METHODS

This prospective cohort study enrolled 4,730 participants from the third National Health and Nutrition Examination Survey. The exposure variables included Lp(a), FIB and their combination, while the outcome variables consisted of all-cause, cardiovascular disease (CVD) and cancer-related mortality. Multivariate COX regression, subgroup analysis, sensitivity analysis and restricted cubic spline (RCS) were used to investigate the association between Lp(a), FIB and their combination with all-cause, CVD and cancer-related mortality.

RESULTS

Over a median follow-up period of 235 months, 2,668 individuals died, including 1,051 deaths attributed to CVD and 549 deaths due to cancer. Multivariate Cox regression analyses revealed independent associations between both Lp(a) and FIB with all-cause, CVD, and cancer-related mortality. Compared to participants in the 1st to 50th percentiles of both Lp(a) and FIB, those in the 90th to 100th percentiles exhibited multivariable adjusted HRs of 1.813 (95% CI: 1.419-2.317, P < 0.001), 2.147 (95% CI: 1.483-3.109, P < 0.001) and 2.355 (95% CI: 1.396, 3.973, P = 0.001) for all-cause, CVD and cancer-related mortality, respectively. Subgroup and sensitivity analyses did not substantially attenuate the association between the combination of high Lp(a) and high FIB with the risk of all-cause and CVD-related mortality. Additionally, the RCS analysis showed that the relationship between Lp(a) and the risk of all-cause and cancer-related mortality, as well as the relationship between FIB and the risk of cancer-related mortality, were linear (P for nonlinearity > 0.05). Conversely, the relationship between Lp(a) and the risk of CVD-related mortality, as well as the relationship between FIB and the risk of all-cause and CVD-related mortality, were nonlinear (P for nonlinearity < 0.05).

CONCLUSIONS

High levels of Lp(a) and FIB together conferred a greater risk of mortality from all-cause, CVD and cancer.

Consensus on lipoprotein(a) of the Spanish Society of Arteriosclerosis. Literature review and recommendations for clinical practice

The irruption of lipoprotein(a) (Lp(a)) in the study of cardiovascular risk factors is perhaps, together with the discovery and use of proprotein convertase subtilisin/kexin type 9 (iPCSK9) inhibitor drugs, the greatest novelty in the field for decades. Lp(a) concentration (especially very high levels) has an undeniable association with certain cardiovascular complications, such as atherosclerotic vascular disease (AVD) and aortic stenosis. However, there are several current limitations to both establishing epidemiological associations and specific pharmacological treatment. Firstly, the measurement of Lp(a) is highly dependent on the test used, mainly because of the characteristics of the molecule. Secondly, Lp(a) concentration is more than 80% genetically determined, so that, unlike other cardiovascular risk factors, it cannot be regulated by lifestyle changes. Finally, although there are many promising clinical trials with specific drugs to reduce Lp(a), currently only iPCSK9 (limited for use because of its cost) significantly reduces Lp(a). However, and in line with other scientific societies, the SEA considers that, with the aim of increasing knowledge about the contribution of Lp(a) to cardiovascular risk, it is relevant to produce a document containing the current status of the subject, recommendations for the control of global cardiovascular risk in people with elevated Lp(a) and recommendations on the therapeutic approach to patients with elevated Lp(a).

Comparative Analysis of Atherogenic Lipoproteins L5 and Lp(a) in Atherosclerotic Cardiovascular Disease

PURPOSE OF REVIEW

Low-density lipoprotein (LDL) poses a risk for atherosclerotic cardiovascular disease (ASCVD). As LDL comprises various subtypes differing in charge, density, and size, understanding their specific impact on ASCVD is crucial. Two highly atherogenic LDL subtypes-electronegative LDL (L5) and Lp(a)-induce vascular cell apoptosis and atherosclerotic changes independent of plasma cholesterol levels, and their mechanisms warrant further investigation. Here, we have compared the roles of L5 and Lp(a) in the development of ASCVD.

RECENT FINDINGS

Lp(a) tends to accumulate in artery walls, promoting plaque formation and potentially triggering atherosclerosis progression through prothrombotic or antifibrinolytic effects. High Lp(a) levels correlate with calcific aortic stenosis and atherothrombosis risk. L5 can induce endothelial cell apoptosis and increase vascular permeability, inflammation, and atherogenesis, playing a key role in initiating atherosclerosis. Elevated L5 levels in certain high-risk populations may serve as a distinctive predictor of ASCVD. L5 and Lp(a) are both atherogenic lipoproteins contributing to ASCVD through distinct mechanisms. Lp(a) has garnered attention, but equal consideration should be given to L5.

Lipoprotein(a) serum concentrations in children in relation to body mass index, age and sex

BACKGROUND

Lipoprotein(a) (Lp(a)) is an inherited risk factor for atherosclerotic cardiovascular disease (ASCVD). Limited data exist on Lp(a) values in children. We aimed to evaluate whether Lp(a) concentrations in youth are influenced by BMI.

METHODS

756 blood samples of 248 children with obesity and 264 matched healthy children aged 5 and 18 years, enrolled in the population-based LIFE Child (German civilization diseases cohort) study, were analyzed. Repeat measurements were available in 154 children (1-4 follow ups, ~1 year apart).

RESULTS

The median Lp(a) concentration in the total cohort (n = 512) at first visit was 9.7 mg/dL (IQR 4.0-28.3). Lp(a) concentrations between 30-50 mg/dL were observed in 11.5%, while 12.5% exhibited Lp(a) ≧50 mg/dL. There was no association of Lp(a) with body mass index (BMI) (ß = 0.004, P = 0.49). Lp(a) levels did not correlate with age or sex, while Lp(a) was associated positively with low-density lipoprotein cholesterol (ß = 0.05, P < 0.0001). The Lp(a) risk category remained stable in 94% of all children in repeated measurements.

CONCLUSIONS

The data showed no association of Lp(a) levels in children with BMI, age or sex. Measurement of Lp(a) in youth may be useful to identify children at increased lifetime risk for ASCVD.

IMPACT

In youth, Lp(a) levels are not affected by age, sex and BMI. Lp(a) risk categories remain stable over time in repeated measurements in children. Measurement of Lp(a) in children may be useful as an additional factor to identify children at increased lifetime risk for ASCVD and for reverse family screening.

Association between hepatic steatosis and lipoprotein(a) levels in non-alcoholic patients: A systematic review

BACKGROUND AND OBJECTIVES

It is well known that lipid abnormalities exist in the context of non-alcoholic fatty liver disease (NAFLD). The association between lipoprotein(a) [Lp(a)] levels and NAFLD is poorly understood. The main objective of the present study was to assess the association between Lp(a) levels and NAFLD.

METHODS

This systematic review was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (PROSPERO CRD42023392526). A literature search was performed to detect studies that evaluated the association between Lp(a) levels, NAFLD and steatohepatitis (NASH).

RESULTS

Ten observational studies, including 40,045 patients, were identified and considered eligible for this systematic review. There were 9266 subjects in the NAFLD groups and 30,779 individuals in the respective control groups. Five studies evaluated patients with NAFLD (hepatic steatosis was associated with lower Lp(a) levels in four studies, while the remaining showed opposite results). Two studies evaluating NASH patients showed that Lp(a) levels were not different compared to controls. However, the increment of Lp(a) levels was correlated with liver fibrosis in one of them. In addition, one study analyzed simultaneously patients with NAFLD and NASH, showing a neutral result in NAFLD patients and a positive relationship in NASH patients. Two studies that included patients with the new definition of metabolic-associated fatty liver disease (MAFLD) also showed neutral results.

CONCLUSION

Although there could be an association between Lp(a) levels and hepatic steatosis, the results of the studies published to date are contradictory and not definitive.

Lipoprotein(a) Levels in Disaggregated Racial and Ethnic Subgroups Across Atherosclerotic Cardiovascular Disease Risk Levels

Background

Lipoprotein(a) [Lp(a)] is a causal risk factor for atherosclerotic cardiovascular disease (ASCVD).

Objectives

The authors assessed differences in Lp(a) testing and levels by disaggregated race, ethnicity, and ASCVD risk.

Methods

This was a retrospective cohort study of patients from a large California health care system from 2010 to 2021. Eligible individuals were ≥18 years old, with ≥2 primary care visits, and complete race and ethnicity data who underwent Lp(a) testing. Race and ethnicity were self-reported and categorized as follows: non-Hispanic (NH) White, NH-Black, Hispanic (Mexican, Puerto Rican, other), NH-Asian (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, other). Logistic regression models tested associations between elevated Lp(a) (≥50 mg/dL) and race, ethnicity, and ASCVD risk.

Results

13,689 (0.9%) individuals underwent Lp(a) testing with a mean age of 54.6 ± 13.8 years, 49% female, 28.8% NH Asian. Over one-third of those tested had Lp(a) levels ≥50 mg/dL, ranging from 30.7% of Mexican patients to 62.6% of NH-Black patients. The ASCVD risk of those tested varied by race: 73.6% of Asian Indian individuals had <5% 10-year risk, whereas 27.2% of NH-Black had established ASCVD. Lp(a) prevalence ≥50 mg/dL increased across the ASCVD risk spectrum. After adjustment, Hispanic (OR: 0.76 [95% CI: 0.66-0.88]) and Asian (OR: 0.88 [95% CI: 0.81-0.96]) had lower odds of Lp(a) ≥50 mg/dL, whereas Black individuals had higher odds (OR: 2.46 [95% CI: 1.97-3.07]).

Conclusions

Lp(a) testing is performed infrequently. Of those tested, Lp(a) levels were frequently elevated and differed significantly across disaggregated race and ethnicity groups. The prevalence of elevated Lp(a) increased with increasing ASCVD risk, with significant variation by race and ethnicity.

The Role of Lipoprotein(a) in Peripheral Artery Disease

Lipoprotein(a) is a low-density-lipoprotein-like particle that consists of apolipoprotein(a) bound to apolipoprotein(b). It has emerged as an established causal risk factor for atherosclerotic cardiovascular disease, stroke, and aortic valve stenosis through multifactorial pathogenic mechanisms that include inflammation, atherogenesis, and thrombosis. Despite an estimated 20% of the global population having elevated lipoprotein(a) levels, testing remains underutilized due to poor awareness and a historical lack of effective and safe therapies. Although lipoprotein(a) has a strong association with coronary artery disease and cerebrovascular disease, its relationship with peripheral artery disease is less well established. In this article, we review the epidemiology, biology, and pathogenesis of lipoprotein(a) as it relates to peripheral artery disease. We also discuss emerging treatment options to help mitigate major adverse cardiac and limb events in this population.

Functional interrogation of cellular Lp(a) uptake by genome-scale CRISPR screening

An elevated level of lipoprotein(a), or Lp(a), in the bloodstream has been causally linked to the development of atherosclerotic cardiovascular disease and calcific aortic valve stenosis. Steady state levels of circulating lipoproteins are modulated by their rate of clearance, but the identity of the Lp(a) uptake receptor(s) has been controversial. In this study, we performed a genome-scale CRISPR screen to functionally interrogate all potential Lp(a) uptake regulators in HuH7 cells. Strikingly, the top positive and negative regulators of Lp(a) uptake in our screen were LDLR and MYLIP, encoding the LDL receptor and its ubiquitin ligase IDOL, respectively. We also found a significant correlation for other genes with established roles in LDLR regulation. No other gene products, including those previously proposed as Lp(a) receptors, exhibited a significant effect on Lp(a) uptake in our screen. We validated the functional influence of LDLR expression on HuH7 Lp(a) uptake, confirmed in vitro binding between the LDLR extracellular domain and purified Lp(a), and detected an association between loss-of-function LDLR variants and increased circulating Lp(a) levels in the UK Biobank cohort. Together, our findings support a central role for the LDL receptor in mediating Lp(a) uptake by hepatocytes.

Association between lipoprotein(a) and premature atherosclerotic cardiovascular disease: a systematic review and meta-analysis

Aims

High lipoprotein(a) [Lp(a)] level has been demonstrated as an important risk factor for atherosclerotic cardiovascular diseases (ASCVD) amongst the older populations, whereas its effects in the younger population remain unclear. This study evaluated the associations between Lp(a) and the risk of premature ASCVD.

Method and results

PubMed and Embase were searched for related studies until 12 November 2023. Fifty-one studies including 100 540 participants were included. Mean age of patients ranged from 35.3 to 62.3 years. The proportion of male participants ranged from 0% to 100%. The mean follow-up was provided in five studies ranging from 1 year to 40 years. The definition of elevated Lp(a) varied among studies, such as >30 mg/dL, >50 mg/dL, the top tertiles, the top quartiles, the top quintiles, and so on. Higher Lp(a) was significantly associated with the composite ASCVD [odds ratio (OR): 2.15, 95% confidence interval (95% CI): 1.53-3.02, P < 0.001], especially for coronary artery disease (OR: 2.44, 95% CI: 2.06-2.90, P < 0.001) and peripheral arterial disease (OR: 2.56, 95% CI: 1.56-4.21, P < 0.001). This association remained significant in familial hypercholesterolaemia (FH) (OR: 3.11, 95% CI: 1.63-5.96, P < 0.001) and type 2 diabetes mellitus (T2DM) patients (OR: 2.23; 95% CI: 1.54-3.23, P < 0.001).Significant results were observed in South Asians (OR: 3.71, 95% CI: 2.31-5.96, P < 0.001), Caucasians (OR: 3.17, 95% CI: 2.22-4.52, P < 0.001), and patients with baseline low-density lipoprotein cholesterol (LDL-c) level ≥ 2.6 mmol/L.

Conclusion

Elevated Lp(a) predicts the risk of the composite or individual ASCVD in young, regardless of study design, gender, population characteristics (community or hospitalized), different premature definitions, and various Lp(a) measurement approaches. This association was important in South Asians, Caucasians, FH patients, T2DM patients, and patients with baseline LDL-c level ≥ 2.6 mmol/L.

Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank

Objective

Atrial fibrillation (AF) is the most common cardiac arrythmia, and it is associated with increased risk for ischemic stroke, which is underestimated, as AF can be asymptomatic. The aim of this study was to develop optimal ML models for prediction of AF in the population, and secondly for ischemic stroke in AF patients.

Methods

To develop ML models for prediction of 1) AF in the general population and 2) ischemic stroke in patients with AF we constructed XGBoost, LightGBM, Random Forest, Deep Neural Network, Support Vector Machine and Lasso penalised logistic regression models using UK-Biobank's extensive real-world clinical data, questionnaires, as well as biochemical and genetic data, and their predictive performances were compared. Ranking and contribution of the different features was assessed by SHapley Additive exPlanations (SHAP) analysis. The clinical tool CHA2DS2-VASc for prediction of ischemic stroke among AF patients, was used for comparison to the best performing ML model.

Findings

The best performing model for AF prediction was LightGBM, with an area-under-the-roc-curve (AUROC) of 0.729 (95% confidence intervals (CI): 0.719, 0.738). The best performing model for ischemic stroke prediction in AF patients was XGBoost with AUROC of 0.631 (95% CI: 0.604, 0.657). The improved AUROC in the XGBoost model compared to CHA2DS2-VASc was statistically significant based on DeLong's test (p-value = 2.20E-06). In addition, the SHAP analysis showed that several peripheral blood biomarkers (e.g. creatinine, glycated haemoglobin, monocytes) were associated with ischemic stroke, which are not considered by CHA2DS2-VASc.

Implications

The best performing ML models presented have the potential for clinical use, but further validation in independent studies is required. Our results endorse the incorporation of some routinely measured blood biomarkers for ischemic stroke prediction in AF patients.

Association between lipoprotein (a) and risk of heart failure: A systematic review and meta-analysis of Mendelian randomization studies

BACKGROUND

Rising incidence of heart failure (HF) in the Western world despite advanced clinical care necessitate exploration of further preventive tools and strategies. Lipoprotein(a) [Lp(a)], recognized as one of the major cardiovascular risk factors has also been implicated as a risk factor for HF. However, existing evidence remains inconclusive and that has led us to perform this meta-analysis.

METHODS

PubMed/Medline, EMBASE and Scopus were systematically searched for studies evaluating an association of Lp(a) with occurrence of HF from inception-till November 2023. Random effects models and I2 statistics were used for pooled odds ratio (OR) and heterogeneity assessment. We performed leave one out sensitivity analyses by sequentially removing one study at a time and recalculating the pooled effect size.

RESULT

Our search rendered in total 360 studies and after final screening this resulted in 7 Mendelian randomization (MR) design. According to the MR analysis, increasing Lp(a) level were significantly associated with increased risk of HF (OR 1.064, 95 % CI: 1.043-1.086, I2= 97.59 %, P < 0.001). In addition, Leave-one-out sensitivity analysis showed that the effect size did not change substantially by removal of any particular study in MR studies and ORs ranged from 1.051 (when excluding Levin) to a maximum of 1.111 (when excluding Wang or Jiang), hereby confirming the association.

CONCLUSION

We were able to show that by meta-analysis of MR data, increasing lipoprotein (a) levels are associated with an increased risk of HF. Whether this is due to a direct effect on heart muscle contraction or whether this is due to an increased risk of ischemic cardiac disease remains to be elucidated.

Efficacy and safety of PCSK9 inhibitors for stroke prevention: Systematic review and meta-analysis

OBJECTIVE

Investigate the efficacy and safety of proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) on stroke prevention.

BACKGROUND

PCSK9i reduce low-density lipoprotein cholesterol (LDL-C) and lipoprotein a (LpA) levels. Their efficacy in reducing the risk of major cardiovascular events has been shown in multiple randomized clinical trials (RCT). However, clinical equipoise remains on the magnitude and mechanisms by which PCSK9i decrease the risk of stroke.

METHODS

We performed a systematic search of biomedical databases from inception to January 15, 2024, to identify RCTs that investigated the efficacy of PCSK9i versus placebo for major cardiovascular event prevention. The primary outcome was total stroke. The safety outcome was the risk of adverse neurological events, as defined by each trial. Effect size was represented by risk ratio (RR), and analysis was done using random-effects meta-analysis. Heterogeneity was assessed by I2 and Cochrane Q statistics. Meta-regression analyses were performed to assess the association between LDL-C and LpA reduction and stroke risk.

RESULTS

Overall, 20 studies with 93,093 patients were included. The quality of the evidence was moderate and heterogeneity for all comparisons was low (I2 < 25 %). The mean age was 60.1 years for the PCSK9i group and 59.6 years for the placebo group, with a mean follow-up time of 60.1 weeks. PCSK9i reduced the LDL-C levels by 11 % and LpA levels by 8 %. PCSK9i were associated with a significant reduction in stroke risk (RR 0.75, 95 % CI 0.66-0.86, I2 = 0 %), without an increase in mortality (RR 0.97, 95 % CI 0.87-1.08, I2 = 0 %). The risk of adverse neurological events was similar between groups (RR 0.99, 95 % CI 0.84-1.18, I2 = 11 %). In meta-regression analyses, the stroke risk was not associated with the magnitude of the effect of PCSK9i on LDL-C (LDL C β = -0.01, 95 % CI = -0.03-0.02) and LpA (β = -0.01, 95 % CI = -0.06-0.04) levels.

CONCLUSIONS

PCSK9i significantly reduced the stroke risk, without increasing mortality or the risk of adverse neurological events. Our findings also suggest that the beneficial effect of PCSK9i on stroke risk is mediated by LDL-C- and LpA-independent mechanisms.

High Lipoprotein(a) May Explain One-Quarter of Clinical Familial Hypercholesterolemia Diagnoses in Danish Lipid Clinics

CONTEXT

Cholesterol carried in lipoprotein(a) adds to measured low-density lipoprotein cholesterol (LDL-C) and may therefore drive some diagnoses of clinical familial hypercholesterolemia (FH).

OBJECTIVE

We investigated plasma lipoprotein(a) in individuals referred to Danish lipid clinics and evaluated the effect of plasma lipoprotein(a) on a diagnosis of FH.

METHODS

Individuals referred to 15 Danish lipid clinics who were suspected of having FH according to nationwide referral criteria were recruited between September 1, 2020 and November 30, 2021. All individuals were classified according to the Dutch Lipid Clinical Network criteria for FH before and after LDL-C was adjusted for 30% cholesterol content in lipoprotein(a). We calculated the fraction of individuals fulfilling a clinical diagnosis of FH partly due to elevated lipoprotein(a).

RESULTS

We included a total of 1166 individuals for analysis, of whom 206 fulfilled a clinical diagnosis of FH. Median lipoprotein(a) was 15 mg/dL (29 nmol/L) in those referred and 28% had lipoprotein(a) greater than or equal to 50 mg/dL (105 nmol/L), while 2% had levels greater than or equal to 180 mg/dL (389 nmol/L). We found that in 27% (55/206) of those fulfilling a clinical diagnosis of FH, this was partly due to high lipoprotein(a).

CONCLUSION

Elevated lipoprotein(a) was common in individuals referred to Danish lipid clinics and in one-quarter of individuals who fulfilled a clinical diagnosis of FH, this was partly due to elevated lipoprotein(a). These findings support the notion that the LPA gene should be considered an important causative gene in patients with clinical FH and further support the importance of measuring lipoprotein(a) when diagnosing FH as well as for stratification of cardiovascular risk.

The effect of rosuvastatin alone or in combination with fenofibrate or omega-3 fatty acids on lipoprotein(a) levels in patients with mixed hyperlipidemia

Introduction

Lipoprotein(a) [Lp(a)] is a strong, genetically determined, pathogenetic factor of atherosclerotic cardiovascular disease (ASCVD). The aim of this post-hoc analysis was to compare the effect of hypolipidemic treatment on Lp(a) levels of patients with mixed hyperlipidemia.

Material and methods

We previously randomized patients with mixed hyperlipidemia (low-density lipoprotein [LDL-C] > 160 mg/dl and triglycerides > 200 mg/dl) to rosuvastatin monotherapy 40 mg/day (R group, n = 30) or rosuvastatin 10 mg/day combined with fenofibrate 200 mg/day (RF group, n = 30) or omega-3 fatty acids 2 g/day (RΩ group, n = 30). In the present post-hoc analysis, we included only the patients whose Lp(a) levels were assessed (16, 16 and 15 in the R, RF and RΩ groups, respectively). Lipid profile and Lp(a) were measured at baseline and after 3 months of treatment.

Results

Significant reductions in total cholesterol, LDL-C, non-high-density lipoprotein-cholesterol (non-HDL-C) and triglyceride levels were observed in all groups. A significant increase in Lp(a) levels was noted in the R (p = 0.017) and RF (p = 0.029) groups, while no significant difference was seen in the RΩ group (p = NS). Regarding Lp(a) elevations, no differences were found between groups. In the R group, a strong negative correlation between the changes in Lp(a) and LDL-C (r = -0.500, p = 0.049) was observed, while a significant negative correlation between the changes in Lp(a) and triglycerides (r = -0.531, p = 0.034) was noted in the RF group.

Conclusions

Rosuvastatin and/or fenofibrate treatment increases Lp(a) levels in patients with mixed hyperlipidemia. Novel therapies should target Lp(a) level reduction to decrease the residual ASCVD risk in patients with mixed hyperlipidemia.

High lipoprotein(a) concentration is associated with moyamoya disease

BACKGROUND

Moyamoya disease (MMD) has attracted the attention of scholars because of its rarity and unknown etiology.

METHODS

Data for this study were sourced from the Second Affiliated Hospital of Nanchang University. Regression analyses were conducted to examine the association in Lipoprotein [Lp(a)] and MMD. R and IBM SPSS were conducted.

RESULTS

A cohort comprising 1012 MMD patients and 2024 controls was established through the propensity score matching method. Compared with controls, MMD patients showed higher median Lp(a) concentrations [18.5 (9.6-37.8) mg/dL vs. 14.9 (7.8-30.5) mg/dL, P < 0.001]. The odds ratios and 95% confidence intervals for Lp(a) were calculated in three models: unadjusted model, model 1 (adjusted for body mass index and systolic blood pressure), and model 2 (adjusted for model 1 plus triglyceride, C-reactive protein, homocysteine, and low-density lipoprotein cholesterol). Results were [1.613 (1.299-2.002), P < 0.001], [1.598 (1.286-1.986), P < 0.001], and [1.661 (1.330-2.074), P < 0.001], respectively. Furthermore, age, sex, or hypertension status had nothing to do with this relationship.

CONCLUSIONS

Positive relationship exists between Lp(a) and MMD.

Development and validation of a nomogram predictive model for cerebral small vessel disease: a comprehensive retrospective analysis

Background

Cerebral small vessel disease (CSVD) is a significant contributor to stroke, intracerebral hemorrhages, and vascular dementia, particularly in the elderly. Early diagnosis remains challenging. This study aimed to develop and validate a novel nomogram for the early diagnosis of cerebral small vessel disease (CSVD). We focused on integrating cerebrovascular risk factors and blood biochemical markers to identify individuals at high risk of CSVD, thus enabling early intervention.

Methods

In a retrospective study conducted at the neurology department of the Affiliated Hospital of Hebei University from January 2020 to June 2022, 587 patients were enrolled. The patients were randomly divided into a training set (70%, n = 412) and a validation set (30%, n = 175). The nomogram was developed using multivariable logistic regression analysis, with variables selected through the Least Absolute Shrinkage and Selection Operator (LASSO) technique. The performance of the nomogram was evaluated based on the area under the receiver operating characteristic curve (AUC-ROC), calibration plots, and decision curve analysis (DCA).

Results

Out of 88 analyzed biomarkers, 32 showed significant differences between the CSVD and non-CSVD groups. The LASSO regression identified 12 significant indicators, with nine being independent clinical predictors of CSVD. The AUC-ROC values of the nomogram were 0.849 (95% CI: 0.821-0.894) in the training set and 0.863 (95% CI: 0.810-0.917) in the validation set, indicating excellent discriminative ability. Calibration plots demonstrated good agreement between predicted and observed probabilities in both sets. DCA showed that the nomogram had significant clinical utility.

Conclusions

The study successfully developed a nomogram predictive model for CSVD, incorporating nine clinical predictive factors. This model offers a valuable tool for early identification and risk assessment of CSVD, potentially enhancing clinical decision-making and patient outcomes.

Risk factors for carotid plaque formation in type 2 diabetes mellitus

OBJECT

Patients with type 2 diabetes mellitus (T2DM) are at higher risk of developing atherosclerosis. Previous studies have analyzed the factors associated with diabetic macrovascular disease, although whether these factors are applicable to T2DM patients with carotid atherosclerosis remains unclear. Therefore, the aim of this study was to investigate the risk factors for the formation of carotid atherosclerotic plaque in hospitalized T2DM patients and to provide a theoretical basis for early prevention and treatment of carotid atherosclerosis in these patients.

METHODS

A total of 949 patients with T2DM were included in the study. Carotid ultrasound identified 531 patients with carotid atherosclerotic plaque. The waist-to-hip ratio (WHR), blood glucose, liver and kidney function, blood lipid profile, islet function, and other indicators were measured at the same time to identify the risk factors and predictive significance of T2DM carotid plaque.

RESULTS

The proportions of men, diabetes nephropathy (DN) and hypertension in T2DM patients with carotid plaque are higher than those without carotid plaque(P < 0.05). Age, duration of diabetes, WHR, Postprandial glucose (PPG), lipoprotein (a) [Lip (a)], carcinoembryonic antigen(CEA) and estimated glomerular filtration rate (eGFR) in T2DM patients with carotid plaque were higher than those without plaque (P < 0.05). Age, WHR, duration of diabetes, hypertension, males, and Lip (a) were independent risk factors for T2DM patients with carotid plaque. Age, WHR, duration of diabetes, and Lip (a) had a higher AUC to predict T2DM with carotid artery plaque (AUC: 0.750, 0.640, 0.678, 0.552 respectively; P all < 0.001). After constructing the logit (P) value of the above risk factors, the area under the ROC curve was 0.816 (0.789-0.842, P < 0.001).

CONCLUSION

Age, WHR, duration of diabetes, hypertension, males, and Lip (a) levels are the main risk factors for the formation of carotid plaque in T2DM patients. Combining the above risk factors provides a better prediction of carotid plaque formation in T2DM.

Measuring lipoprotein(a) for cardiovascular disease prevention - in whom and when?

PURPOSE OF REVIEW

The aim of this study is to summarize major cardiovascular guideline recommendations on lipoprotein(a) and highlighting recent findings that emphasize how measuring lipoprotein(a) once in all adults is meaningful regardless of age, sex, comorbidities, or ethnicity.

RECENT FINDINGS

Many international guidelines now recommend once in a lifetime measurement of lipoprotein(a) in all adult individuals to facilitate accurate risk prediction. Lipoprotein(a)-lowering therapy to reduce cardiovascular disease is on the horizon, with results from the first phase 3 trial expected in 2025.

SUMMARY

Elevated lipoprotein(a) is an independent causal risk factor for atherosclerotic cardiovascular disease and aortic valve stenosis and measuring lipoprotein(a) once in all individuals regardless of age, sex, comorbidities, or ethnicity is meaningful to aid in risk stratification.

Advances in screening, synthesis, modification, and biomedical applications of peptides and peptide aptamers

Peptides and peptide aptamers have emerged as promising molecules for a wide range of biomedical applications due to their unique properties and versatile functionalities. The screening strategies for identifying peptides and peptide aptamers with desired properties are discussed, including high-throughput screening, display screening technology, and in silico design approaches. The synthesis methods for the efficient production of peptides and peptide aptamers, such as solid-phase peptide synthesis and biosynthesis technology, are described, along with their advantages and limitations. Moreover, various modification techniques are explored to enhance the stability, specificity, and pharmacokinetic properties of peptides and peptide aptamers. This includes chemical modifications, enzymatic modifications, biomodifications, genetic engineering modifications, and physical modifications. Furthermore, the review highlights the diverse biomedical applications of peptides and peptide aptamers, including targeted drug delivery, diagnostics, and therapeutic. This review provides valuable insights into the advancements in screening, synthesis, modification, and biomedical applications of peptides and peptide aptamers. A comprehensive understanding of these aspects will aid researchers in the development of novel peptide-based therapeutics and diagnostic tools for various biomedical challenges.

Lp(a) and risk of cardiovascular disease - A review of existing evidence and emerging concepts

Cardiovascular disease (CVD) remains the leading cause of death among adults in the United States. There has been significant advancement in the diagnosis and treatment of atherosclerotic cardiovascular disease (ASCVD) and its underlying risk factors. In certain populations, there remains a significant residual risk despite adequate lowering of low-density lipoprotein cholesterol (LDL-C) and control of traditional risk factors. This has led to an interest in research to identify additional risk factors that contribute to atherosclerotic cardiovascular disease. Elevated lipoprotein (a) [Lp(a)] has been identified as an independent risk factor contributing to an increased risk for CVD. There are also ethnic and racial disparities in Lp(a) inheritance that need to be understood. This paper reviews the current literature on lipoprotein a, proposed mechanisms of actions for cardiovascular disease, recommendations for testing, and the current and emerging therapies for lowering Lp(a).

Lipoprotein(a) and Risks of Peripheral Artery Disease, Abdominal Aortic Aneurysm, and Major Adverse Limb Events

BACKGROUND

Lp(a) (lipoprotein[a])-lowering therapy to reduce cardiovascular disease is under investigation in phase 3 clinical trials. High Lp(a) may be implicated in peripheral artery disease (PAD), abdominal aortic aneurysms (AAAs), and major adverse limb events (MALE).

OBJECTIVES

The authors investigated the association of high Lp(a) levels and corresponding LPA genotypes with risk of PAD, AAA, and MALE.

METHODS

The authors included 108,146 individuals from the Copenhagen General Population Study. During follow-up, 2,450 developed PAD, and 1,251 AAAs. Risk of MALE was assessed in individuals with PAD at baseline and replicated in the Copenhagen City Heart Study.

RESULTS

Higher Lp(a) was associated with a stepwise increase in risk of PAD and AAA (P for trend <0.001). For individuals with Lp(a) levels ≥99th (≥143 mg/dL, ≥307 nmol/L) vs <50th percentile (≤9 mg/dL, ≤17 nmol/L), multivariable-adjusted HRs were 2.99 (95% CI: 2.09-4.30) for PAD and 2.22 (95% CI: 1.21-4.07) for AAA. For individuals with PAD, the corresponding incidence rate ratio for MALE was 3.04 (95% CI: 1.55-5.98). Per 50 mg/dL (105 nmol/L) genetically higher Lp(a) risk ratios were 1.39 (95% CI: 1.24-1.56) for PAD and 1.21 (95% CI: 1.01-1.44) for AAA, consistent with observational risk ratios of 1.33 (95% CI: 1.24-1.43) and 1.27 (95% CI: 1.15-1.41), respectively. In women smokers aged 70 to 79 years with Lp(a) <50th and ≥99th percentile, absolute 10-year risks of PAD were 8% and 21%, and equivalent risks in men 11% and 29%, respectively. For AAA, corresponding risks were 2% and 4% in women, and 5% and 12% in men.

CONCLUSIONS

High Lp(a) levels increased risk of PAD, AAA, and MALE by 2- to 3-fold in the general population, opening opportunities for prevention given future Lp(a)-lowering therapies.