Differential associations of lipoprotein(a) level with cerebral large artery and small vessel diseases

Association of Lp(a) With Stroke and Cerebral Injury on MRI: Insights From the HCHS/SOL (Hispanic Community Health Study/Study of Latinos) and Investigation of Neurocognitive Aging MRI (SOL-INCA MRI)

BACKGROUND

Lp(a) (lipoprotein[a]) is a risk factor for cardiovascular disease; however, its association with cerebrovascular disease is not as well established.

METHODS

Data from a population-based cohort of Hispanics/Latinos included 16 333 individuals with baseline Lp(a) levels (nmol/L) and self-reported prevalent stroke or transient ischemic attack (TIA). A subset of 2642 individuals with brain magnetic resonance imaging was also included. Linear and multivariate logistic regression assessed the association of Lp(a) with (1) self-reported stroke or TIA, (2) cerebral injury defined as self-reported stroke or TIA or evidence of a stroke on brain magnetic resonance imaging, (3) white matter hyperintensity volume, and (4) silent brain infarcts. Sampling weights were utilized given the HCHS/SOL (Hispanic Community Health Study/Study of Latinos) complex sample design.

RESULTS

Mean age±SE was 41.1±0.3 years, 52.0% women, and median interquartile range (Q1, Q3) Lp(a) level of 19.7 (7.3-60.6) nmol/L; brain magnetic resonance imaging subset mean age±SE was 49.9±0.4 years, 56.4% women, and median (interquartile range) Lp(a) level of 21.7 (8.1-62.9) nmol/L. Each unit increase in log-transformed Lp(a) was associated with higher odds of self-reported stroke or TIA (odds ratio, 1.13 [95% CI, 1.01-1.27]; P=0.03). Lp(a) levels in the highest quintile (>77 nmol/L) were significantly associated with higher odds of prevalent stroke or TIA compared with Lp(a) <6 nmol/L (first quintile: odds ratio, 1.74 [95% CI, 1.09-2.77]; P=0.02). The highest proportion of cerebral injury was noted in Q5, while the lowest proportion was noted in Q2. When comparing Lp(a) >77 nmol/L with Lp(a) of 6 to <13 nmol/L (second quintile), a significant association was found between Lp(a) and cerebral injury that persisted after fully adjusted models (odds ratio, 2.03 [95% CI, 1.05-3.93]; P=0.03). Each unit increase in log-Lp(a) was associated with a 0.10 increase in log-white matter hyperintensity (β, 0.10; P=0.005). No significant association was found between Lp(a) and silent brain infarcts.

CONCLUSIONS

Lp(a) is independently and significantly associated with prevalent stroke/TIA, and white matter hyperintensity, in a large diverse population of Hispanics/Latinos.

Lipoprotein-a and white matter abnormalities: predicting small vessel disease in young patients with ischemic cerebrovascular events

INTRODUCTION

Post-stroke cognitive impairment (PSCI) affects 15-70% of ischemic stroke survivors, with vascular dementia contributing significantly to long-term disability. Lipoprotein(a) [Lp(a)] has emerged as a key risk factor for cardiovascular and cerebrovascular diseases, but its role in cerebral small vessel disease (cSVD) remains unclear. This study investigates the association between elevated Lp(a) levels and Fazekas scores (≥ 2), a marker of white matter hyperintensities (WMHs) indicative of cSVD, in young patients (< 65 years) with ischemic stroke or transient ischemic attack (TIA).

METHODS

We retrospectively analysed data of 217 patients with ischemic stroke/TIA, age 18-65, and Lp(a) measurement within four weeks of the event. Data included clinical history, imaging (MRI Fazekas scores), and Lp(a) levels (> 50 mg/dL). Multivariable logistic regression and ROC analysis were performed to identify predictors of higher Fazekas scores.

RESULTS

Elevated Lp(a) levels were independently associated with Fazekas scores ≥ 2 (OR 2.83, 95% CI 1.13-7.10, p = 0.03) alongside older age, hypertension, prior stroke/TIA, and elevated non-HDL cholesterol. The predictive model demonstrated high accuracy (AUC = 0.81). Patients with elevated Lp(a) exhibited greater WMH burden, indicating advanced small vessel damage.

CONCLUSIONS

Elevated Lp(a) levels are a significant biomarker for WMHs and cSVD in young stroke patients, offering prognostic value beyond traditional risk factors. Incorporating Lp(a) testing into routine stroke evaluations could enable early identification and tailored management strategies to mitigate further vascular damage and cognitive decline.

Lipoprotein(a) as a Stroke Biomarker: Pathophysiological Pathways and Therapeutic Implications

Lipoprotein(a) [Lp(a)] has attracted widespread interest as a potential biomarker for cerebrovascular diseases due to its genetically determined and stable plasma concentration throughout life. Lp(a) exhibits pro-atherogenic and pro-thrombotic properties that contribute to vascular pathology in both extracranial and intracranial vessels. Elevated Lp(a) levels are strongly associated with large-artery atherosclerotic stroke, while data on its role in other ischemic subtypes and hemorrhagic stroke remains limited and inconsistent. Recent advances in Lp(a)-lowering therapies, such as antisense oligonucleotides and RNA-based agents, have demonstrated significant efficacy in reducing plasma Lp(a) levels. These advances have prompted increasing research into their potential application in the prevention and treatment of cerebrovascular diseases, aiming to determine whether Lp(a) reduction may translate into a reduced risk of stroke and large-artery atherosclerosis. This narrative review summarizes the current evidence on the association between Lp(a) and stroke, focusing on its utility in patient risk stratification. It also highlights existing knowledge gaps and outlines directions for future research, particularly in understanding subtype-specific effects and evaluating the clinical benefits of Lp(a)-targeted therapies.

Stroke Prognosis: The Impact of Combined Thrombotic, Lipid, and Inflammatory Markers

AIM

D-dimer, lipoprotein (a) (Lp(a)), and high-sensitivity C-reactive protein (hs-CRP) are known predictors of vascular events; however, their impact on the stroke prognosis is unclear. This study used data from the Third China National Stroke Registry (CNSR-III) to assess their combined effect on functional disability and mortality after acute ischemic stroke (AIS).

METHODS

In total, 9,450 adult patients with AIS were enrolled between August 2015 and March 2018. Patients were categorized based on a cutoff value for D-dimer, Lp(a), and hs-CRP in the plasma. Adverse outcomes included poor functional outcomes (modified Rankin Scale (mRS score ≥ 3)) and one- year all-cause mortality. Logistic and multivariate Cox regression analyses were performed to investigate the relationship between individual and combined biomarkers and adverse outcomes.

RESULTS

Patients with elevated levels of all three biomarkers had the highest odds of functional disability (OR adjusted: 2.01; 95% CI (1.47-2.74); P＜0.001) and mortality (HR adjusted: 2.93; 95% CI (1.55-5.33); P＜0.001). The combined biomarkers improved the predictive accuracy for disability (C-statistic 0.80 vs.0.79, P＜0.001) and mortality (C-statistic 0.79 vs.0.78, P=0.01).

CONCLUSION

Elevated D-dimer, Lp(a), and hs-CRP levels together increase the risk of functional disability and mortality one-year post-AIS more than any single biomarker.

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.

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.

Associations of Lipoprotein(a) Level with Cerebral Small Vessel Disease in Patients with Alzheimer's Disease

BACKGROUND

This study aimed to examine the association of lipoprotein(a) [Lp(a)] level with the burden of cerebral small vessel disease (CSVD) in patients with Alzheimer's disease (AD).

METHODS

Data from 111 consecutive patients with AD admitted to Nanjing First Hospital from 2015 to 2022 were retrospectively analyzed in this study. Serum Lp(a) concentrations were grouped into tertiles (T1-T3). Brain magnetic resonance imaging (MRI) was rated for the presence of CSVD, including enlarged perivascular spaces (EPVS), lacunes, white-matter lesions, and cerebral microbleeds (CMBs). The CSVD burden was calculated by summing the scores of each MRI marker at baseline. A binary or ordinal logistic regression model was used to estimate the relationship of serum Lp(a) levels with CSVD burden and each MRI marker.

RESULTS

Patients with higher tertiles of Lp(a) levels were less likely to have any CSVD (T1, 94.6%; T2, 78.4%; T3, 66.2%; p = 0.013). Multivariable analysis found that Lp(a) levels were inversely associated with the presence of CSVD (T2 vs. T1: adjusted odds ratio [aOR] 0.132, 95% confidence interval [CI] 0.018-0.946, p = 0.044; T3 vs. T1: aOR 0.109, 95% CI 0.016-0.737, p = 0.023) and CSVD burden (T3 vs. T1: aOR 0.576, 95% CI 0.362-0.915, p = 0.019). The independent relationship between Lp(a) levels and individual CSVD features was significant for moderate-to-severe EPVS in the centrum semiovale (T2 vs. T1: aOR 0.059, 95% CI 0.006-0.542, p = 0.012; T3 vs. T1: aOR 0.029, 95% CI 0.003-0.273, p = 0.002) and CMBs (T3 vs. T1: aOR 0.144, 95% CI 0.029-0.716, p = 0.018).

CONCLUSIONS

In this study, serum Lp(a) level was inversely associated with CSVD in AD patients.

Lipoprotein(a) Is Associated With the Progression and Vulnerability of New-Onset Carotid Atherosclerotic Plaque

BACKGROUND

Although important progress has been made in understanding Lp(a) (lipoprotein[a])-mediated stroke risk, the contribution of Lp(a) to the progression of vulnerable plaque features associated with stroke risk remains unclear. This study aims to evaluate whether Lp(a) is associated with carotid plaque progression, new-onset plaque features, and plaque vulnerability in a prospective community-based cohort study.

METHODS

Baseline Lp(a) levels were measured using latex-enhanced turbidimetric immunoassay among 804 participants aged 45 to 74 years and free of cardiovascular disease in the Chinese Multi-provincial Cohort Study-Beijing project. Carotid atherosclerosis was measured twice by B-mode ultrasonography over a 10-year interval during the 2002 and 2012 surveys to assess the progression of total, vulnerable and stable plaques, and plaque vulnerability. The total plaque area and plaque vulnerability score were calculated.

RESULTS

The median baseline Lp(a) level was 10.20 mg/dL (interquartile range, 6.20 to 17.18 mg/dL). Modified Poisson regression analysis showed that Lp(a) ≥50 mg/dL was significantly associated with 10-year progression of total carotid plaque (relative risk [RR], 1.41 [95% CI, 1.21-1.64]; E-value=2.17), vulnerable plaque (RR, 1.93 [95% CI, 1.54-2.41]), and stable plaque (RR, 1.51 [95% CI, 1.11-2.07]) compared with Lp(a) <50 mg/dL. Moreover, among participants without plaque at baseline, Lp(a) ≥50 mg/dL was related to an increased total plaque area (β=0.36 [95% CI, 0.06-0.65]; P=0.018) and increased plaque vulnerability score (β=0.30 [95% CI, 0.01-0.60]; P=0.045) in multivariable linear regression.

CONCLUSIONS

Elevated Lp(a) levels were associated with 10-year carotid plaque progression and plaque vulnerability, providing a basis for Lp(a) as a treatment target for stroke prevention.