Skip to main content
  • American Heart Association
  • Science Volunteer
  • Warning Signs
  • Advanced Search
  • Donate

  • Home
  • About this Journal
    • Editorial Board
    • General Statistics
    • Author Reprints
    • Commercial Reprints
    • Customer Service and Ordering Information
    • Information for Advertisers
  • All Issues
  • Subjects
    • All Subjects
    • Arrhythmia and Electrophysiology
    • Basic, Translational, and Clinical Research
    • Critical Care and Resuscitation
    • Epidemiology, Lifestyle, and Prevention
    • Genetics
    • Heart Failure and Cardiac Disease
    • Hypertension
    • Imaging and Diagnostic Testing
    • Intervention, Surgery, Transplantation
    • Quality and Outcomes
    • Stroke
    • Vascular Disease
  • Browse Features
    • Editor Picks
    • Blogging Stroke
    • AHA/ASA Guidelines and Statements
    • ISC and Nursing Symposium Abstracts
    • Progress and Innovation Award Recipients
    • Acknowledgment of Reviewers
    • Stem Cells and Stroke
    • Stroke in Women
    • Outstanding Reviewers 2017
  • Resources
    • Online Submission/Peer Review
    • Instructions for Authors
    • → Article Types
    • → General Preparation Instructions
    • → Research Guidelines
    • → How to Submit a Manuscript
    • → Tips for Submission
    • → Links and Forms
    • → Revised Manuscripts
    • Costs to Authors
    • Journal Policies
    • Wolters Kluwer Author Services
    • Early Career Resources
    • Stroke CME
    • Webinar Series
    • Permissions and Rights Q&A
    • AHA Newsroom
  • AHA Journals
    • AHA Journals Home
    • Arteriosclerosis, Thrombosis, and Vascular Biology (ATVB)
    • Circulation
    • → Circ: Arrhythmia and Electrophysiology
    • → Circ: Genomic and Precision Medicine
    • → Circ: Cardiovascular Imaging
    • → Circ: Cardiovascular Interventions
    • → Circ: Cardiovascular Quality & Outcomes
    • → Circ: Heart Failure
    • Circulation Research
    • Hypertension
    • Stroke
    • Journal of the American Heart Association
  • Facebook
  • Twitter

  • My alerts
  • Sign In
  • Join

  • Advanced search

Header Publisher Menu

  • American Heart Association
  • Science Volunteer
  • Warning Signs
  • Advanced Search
  • Donate

Stroke

  • My alerts
  • Sign In
  • Join

  • Facebook
  • Twitter
  • Home
  • About this Journal
    • Editorial Board
    • General Statistics
    • Author Reprints
    • Commercial Reprints
    • Customer Service and Ordering Information
    • Information for Advertisers
  • All Issues
  • Subjects
    • All Subjects
    • Arrhythmia and Electrophysiology
    • Basic, Translational, and Clinical Research
    • Critical Care and Resuscitation
    • Epidemiology, Lifestyle, and Prevention
    • Genetics
    • Heart Failure and Cardiac Disease
    • Hypertension
    • Imaging and Diagnostic Testing
    • Intervention, Surgery, Transplantation
    • Quality and Outcomes
    • Stroke
    • Vascular Disease
  • Browse Features
    • Editor Picks
    • Blogging Stroke
    • AHA/ASA Guidelines and Statements
    • ISC and Nursing Symposium Abstracts
    • Progress and Innovation Award Recipients
    • Acknowledgment of Reviewers
    • Stem Cells and Stroke
    • Stroke in Women
    • Outstanding Reviewers 2017
  • Resources
    • Online Submission/Peer Review
    • Instructions for Authors
    • → Article Types
    • → General Preparation Instructions
    • → Research Guidelines
    • → How to Submit a Manuscript
    • → Tips for Submission
    • → Links and Forms
    • → Revised Manuscripts
    • Costs to Authors
    • Journal Policies
    • Wolters Kluwer Author Services
    • Early Career Resources
    • Stroke CME
    • Webinar Series
    • Permissions and Rights Q&A
    • AHA Newsroom
  • AHA Journals
    • AHA Journals Home
    • Arteriosclerosis, Thrombosis, and Vascular Biology (ATVB)
    • Circulation
    • → Circ: Arrhythmia and Electrophysiology
    • → Circ: Genomic and Precision Medicine
    • → Circ: Cardiovascular Imaging
    • → Circ: Cardiovascular Interventions
    • → Circ: Cardiovascular Quality & Outcomes
    • → Circ: Heart Failure
    • Circulation Research
    • Hypertension
    • Stroke
    • Journal of the American Heart Association
Original Contributions; Clinical Sciences

High Levels of Apolipoprotein B/AI Ratio Are Associated With Intracranial Atherosclerotic Stenosis

Jong-Ho Park, Keun-Sik Hong, Eun-Ja Lee, Juneyoung Lee, Dong-Eog Kim
Download PDF
https://doi.org/10.1161/STROKEAHA.111.620104
Stroke. 2011;42:3040-3046
Originally published October 24, 2011
Jong-Ho Park
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Keun-Sik Hong
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eun-Ja Lee
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Juneyoung Lee
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dong-Eog Kim
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Tables
  • Supplemental Materials
  • Info & Metrics
Loading

Abstract

Background and Purpose—The apolipoprotein B (apoB)/apoAI ratio is recognized as a better indicator of cardiovascular disease than other cholesterol measures. Whether intracranial or extracranial atherosclerosis is more closely associated with an increased apoB/apoAI ratio has not been investigated.

Methods—A total of 464 statin or fibrate naïve Korean patients with acute ischemic stroke was categorized into 3 groups: intracranial (ICAS, n=236), extracranial (n=44), and no cerebral atherosclerotic stenosis (n=184). The apoB/apoAI ratio and demographics, including the presence of metabolic syndrome, were compared among the groups.

Results—The ICAS group showed a higher apoB/apoAI ratio (0.81±0.02) than both the extracranial atherosclerotic stenosis (0.74±0.03) and no cerebral atherosclerotic stenosis (0.72±0.02) groups (P=0.002). The ratio was substantially increased (0.93±0.03) in patients with advanced ICAS (≥3 intracranial stenoses). With a multivariable analysis, the highest apoB/apoAI ratio quartile was an independent predictor of ICAS (OR, 2.13; 95% CI, 1.05 to 4.33). A dose–response relationship was observed between the presence of advanced ICAS and the apoB/apoAI ratio quartiles (OR, 4.03; 95% CI, 1.26 to 12.88 for the second quartile; OR, 4.88; 95% CI, 1.54 to 15.49 for the third quartile; and OR, 7.79; 95% CI, 2.41 to 25.16 for the fourth quartile when referenced to the first quartile). Patients having more metabolic syndrome components were more likely to have ICAS, advanced ICAS, and a higher apoB/apoAI ratio (P<0.001 for all).

Conclusions—A higher apoB/apoAI ratio is a predictor of ICAS rather than of extracranial atherosclerotic stenosis or no cerebral atherosclerotic stenosis. The apoB/apoAI ratio might be a biomarker for ICAS in Asian patients with stroke.

  • apolipoprotein AI
  • apolipoprotein B
  • atherosclerosis
  • intracranial

Introduction

Apolipoprotein B (apoB) levels better reflect the total number of potentially atherogenic particles than the low-density lipoprotein cholesterol (LDL-C) level does. The oxidation of apoB creates multiple proinflammatory products and propagates atherogenesis within the arterial wall.1 In contrast, apolipoprotein A-I (apoAI), which is the major apolipoprotein in high-density lipoprotein cholesterol (HDL-C), initiates reverse cholesterol transport from blood vessels to the liver. ApoAI also has antioxidant and anti-inflammatory effects.2–5 Accordingly, the apoB/apoAI ratio has been recognized as a better predictor of cardiovascular risk than any other cholesterol measure.6

Metabolic syndrome (MetS) is associated with diverse lipid disturbances, including reduced HDL-C levels, raised fasting and postprandial triglyceride-rich lipoproteins (mainly very-low-density lipoprotein), and increased small, dense LDL particles.7 The apoB/apoAI ratio has been reported to be higher in patients with MetS than in those without MetS.8–10 In a recent study of patients with ischemic stroke, MetS was independently associated with intracranial atherosclerotic stenosis (ICAS) compared with extracranial atherosclerotic stenosis (ECAS) and no cerebral atherosclerotic stenosis (NCAS).11

MetS and ICAS are likely to have common underlying mechanisms for the raised atherogenecity and reduced antioxidative activity.11,12 Taking these into account, an increased apoB/apoAI ratio might be more closely related to ICAS than to ECAS or NCAS in patients with stroke.

This study was performed to compare the serum levels of the apoB/apoAI ratio and MetS among patients with ischemic stroke with ICAS, ECAS, and NCAS and to investigate whether ICAS has a higher apoB/apoAI ratio than ECAS and NCAS.

Methods

Patients

We prospectively recruited consecutive patients with acute ischemic stroke (≤7 days of onset) with relevant neuroimaging findings from March 2008 through September 2010. Patients excluded were the following: those who had been on statin or fibrate before admission because these drugs affect serum apolipoprotein levels,4 those who underwent incomplete vascular imaging and laboratory tests, those who had strokes of other determined etiologies or transient ischemic attacks with negative diffusion-weighted images, and those who did not provide informed consent. We collected data on demographics, risk factors, blood pressure, fasting glucose levels, total cholesterol levels, LDL-C levels, HDL-C levels, triglyceride levels, apoB levels, apoAI levels, and abdominal circumference. To investigate the cardioembolic source, electrocardiography and echocardiography were performed in all patients, and transechocardiography and 24-hour Holter monitoring were performed for selected patients at the discretion of the responsible physician. In all patients aged <50 years, the prothrombotic tendency for stroke was evaluated.

All patients underwent neuroimaging and vascular imaging. Brain MRI and MR angiography were performed in most patients, and CT and CT angiography were performed in MR-contraindicated or noncompliant patients. Additional conventional angiography was performed in 44 patients. The 3-dimensional time-of-flight technique was used for evaluating intracranial vessels, and 3-dimensional contrast-enhanced MR angiography was used for extracranial vessels. Two independent reviewers (J.-H.P. and E.-J.L.), who were blinded to the clinical information, evaluated the vascular images. The κ statistics for the concordance rate showed a high degree of agreement (κ=0.86, P<0.01). Discrepancies were resolved by consensus.

Informed consent was obtained from all subjects, and the study protocol was approved by the Institutional Review Board of Kwandong University Myongji Hospital.

Classification of Cerebral Atherosclerosis

Irrespective of index stroke mechanisms, patients were classified into 3 groups based on their vascular imaging and other clinical data as follows: (1) the ICAS group had a significant stenosis (symptomatic or asymptomatic) in the proximal portion of the middle, anterior, or posterior cerebral artery; the basilar artery; or the intracranial portion of the internal carotid artery or vertebral artery (V4); (2) the ECAS group had a significant stenosis in the extracranial portion of the internal carotid artery or vertebral artery (V1 to V3); and (3) the patients with NCAS had no or <50% stenosis in the intracranial or extracranial arteries. The arteries with acute cardioembolic occlusion or with decreased vessel signals due to proximal steno-occlusive lesions were not regarded as having a true stenosis.

Twenty-eight patients who had both ICAS and ECAS were categorized into the ICAS group. Significant stenosis was defined as ≥50% stenosis in the intracranial or extracranial arteries.13,14 We also quantified intra- and extracranial stenosis based on the number of stenotic arteries. We prespecified that patients having ≥3 stenoses were determined to have “advanced” lesions.

Definition of MetS and Blood Tests

The definition of MetS, which was determined by the American Heart Association/National Heart, Lung, and Blood Institute,15 was modified with the Asia-Pacific waist circumference criteria provided by the World Health Organization Western Pacific Region (2000).16 MetS was diagnosed if patients had ≥3 of the following: (1) increased waist circumference (≥90 cm in men or ≥80 cm in women); (2) high blood pressure (systolic blood pressure ≥130 mm Hg and/or a diastolic blood pressure ≥85 mm Hg measured at least 10 days after stroke onset); (3) high fasting glucose (≥100 mg/dL); (4) high triglyceride levels (≥150 mg/dL); and (5) low HDL-C levels (<40 mg/dL for men, <50 mg/dL for women). Trained nurses measured the waist circumference using a measuring tape positioned at the highest point of the iliac crest.

Blood samples for fasting concentrations were drawn in the morning after an overnight fast for >8 hours. Serum levels of total cholesterol, triglyceride, HDL-C, and LDL-C were assayed by enzymatic techniques (Wako Pure Chemical Industries, Ltd, Osaka, Japan). The apoB and apoAI levels were measured by immunonephelometry using a BN II analyzer (Dade Behring). The intraindividual coefficient of variation was 2.8% for apoB and 2.2% for apoAI.

Statistical Analyses

Data are summarized as mean±SD or SE or number of subjects (percentage), as appropriate. Comparisons across groups were examined using the χ2 test for categorical variables and Student t test or one-way analysis of variance followed by the Tukey's b test for multiple comparisons for continuous variables. The relationships between the quartiles of the apoB/apoAI ratio and risk factors, including MetS and its components, and stenosis were evaluated using a χ2 linear-by-linear association test. A multivariable logistic regression analysis was performed to determine whether the serum apoB/apoAI ratio was an independent predictor for ICAS after adjusting for other potential confounders. Results are given by ORs and its 95% CIs. A P value <0.05 was considered statistically significant. All analyses were conducted using SPSS Version 17.0 (SPSS Inc, Chicago, IL).

Results

Patient Characteristics

From 759 consecutive patients with acute ischemic stroke, a total of 464 patients (mean age, 68.2±12.6; male, 56.0%) were included in this study. The remaining 295 patients were excluded due to the following reasons: 198 had prior statin or fibrate use, 21 had transient ischemic attacks without relevant neuroimaging findings, 12 had strokes of other determined etiology, 12 had missing data for MetS, 10 had missing apolipoprotein tests, 4 had no vascular imaging, 4 had no informed consent, and 34 had other reasons for exclusion. Trial of Org 10172 in Acute Stroke Treatment classification17 of the index strokes were 177 (38.1%) large artery atherosclerosis (137 intracranial versus 40 extracranial atherosclerosis), 150 (32.3%) small vessel occlusions, 99 (21.3%) cardioembolisms, and 38 (8.2%) strokes of undetermined etiology.

Among 464 patients, 236 (50.9%) were classified as ICAS (28 [6.0%] patients had both ICAS and ECAS), 44 (9.5%) as ECAS, and 184 (39.7%) as NCAS. Advanced atherosclerotic stenosis (≥3) was found in 83 (35.2%) patients with ICAS and 8 (11.1%) patients with ECAS.

Baseline characteristics for each of the ICAS, ECAS, and NCAS groups are given in Table 1. Compared with the ECAS and/or NCAS groups, the ICAS group showed significantly higher levels of systolic blood pressure, glucose, LDL-C, and triglyceride levels as well as higher frequencies of hypertension, diabetes mellitus, coronary artery disease, and MetS, whereas HDL-C levels, male, and smoking frequencies were lower.

View this table:
  • View inline
  • View popup
Table 1.

Baseline Characteristics and ApoB/ApoAI Ratios Among Groups

ApoB/ApoAI Ratio, MetS, and ICAS

Although no differences in apoB levels were found, apoAI levels differed across the groups. ApoAI levels were lowest in the ICAS group, intermediate in the ECAS group, and highest in the NCAS group (Table 1). This caused the apoB/apoAI ratios (mean±SE) to be significantly different between the groups: 0.81±0.02 in the ICAS group, 0.74±0.03 in the ECAS group, and 0.72±0.02 in the NCAS group (P=0.002). Although the 95% CIs of the ICAS and ECAS groups marginally overlapped due to a wide 95% CI in the ECAS group, there was a significant difference between the ICAS and the NCAS groups (P=0.001; Table 1 and Figure 1A). The values of the apoB/apoAI ratios of the ICAS group remained stable after excluding 28 patients who had both ICAS and ECAS from the ICAS group (0.81±0.02). In addition, patients with advanced ICAS had a higher apoB/apoAI ratio compared with those with 1 or 2 lesions of ICAS and with no ICAS (P<0.001; Figure 1B).

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Serum levels of apoB/AI ratio according to groups (A) and severity of ICAS (B). Data are mean±SE. Error bars show 95% CI of the mean. Apo indicates apolipoprotein; ICAS, intracranial atherosclerotic stenosis; ECAS, extracranial atherosclerotic stenosis; NCAS, no cerebral atherosclerotic stenosis.

Patients were stratified into quartiles according to the distribution of their serum apoB/apoAI ratios for males and females. The resulting range of sex-specific quartiles were <0.60 (first quartile), 0.60 to 0.73 (second quartile), 0.74 to 0.91 (third quartile), and >0.91 (fourth quartile) for males and <0.62 (first quartile), 0.62 to 0.73 (second quartile), 0.74 to 0.87 (third quartile), and >0.87 (fourth quartile) for females. Figure 2 demonstrates the relationship of the apoB/apoAI ratio quartiles to the presence of ICAS or ECAS, the number of ICAS lesions (0 to ≥3), the presence of MetS, and the number of MetS components. Patients with higher quartiles of the apoB/apoAI ratio had a higher incidence of ICAS (P<0.001; Figure 2A) and had greater numbers of ICAS (P<0.001; Figure 2B). However, these associations were not observed in those with ECAS. MetS was more frequent in patients with higher apoB/apoAI ratio quartiles (P<0.001; Figure 2C). Patients with higher quartiles of the apoB/apoAI ratio were more likely to have a greater number of MetS components (P<0.001; Figure 2D). Patients with a greater number of MetS components were more likely to have ICAS (P<0.001; Figure 3A) and a greater number of ICAS lesions (P<0.001; Figure 3B). Patients with more MetS components had a higher apoB/apoAI ratio: 0.64±0.02 for 0 to 2 MetS components; 0.79±0.02 for 3 MetS components; and 0.89±0.02 for >3 MetS components (P<0.001; Figure 4). No association, however, was noted between the MetS components and the number of ECAS.

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Distribution of study group (A), number of ICAS lesions (B), MetS (C), and MetS components (D) according to apoB/apoAI ratio quartiles. Values are percentages of patients. Ranges for sex-specific quartiles are given in Table 2. As the apoB/apoAI ratio increased, the presence of ICAS (A) and MetS (C) and the severity of ICAS (B) and MetS components (D) increased (P<0.001 for all). ICAS indicates intracranial atherosclerotic stenosis; MetS, metabolic syndrome; apo, apolipoprotein.

Figure 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 3.

Distribution of the study group (A) and number of ICAS (B) according to the severity of the MetS components. Values are percentages of patients. Patients with more severe MetS components were more likely to have ICAS (A) and show an increased number of ICAS (B; P<0.001 for all). ICAS indicates intracranial atherosclerotic stenosis; ECAS, extracranial atherosclerotic stenosis; NCAS, no cerebral atherosclerotic stenosis; MetS, metabolic syndrome.

Figure 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 4.

Serum levels of the apoB/AI ratio according to the severity of MetS components. Data are mean±SE. Error bars show 95% CI of the mean. Apo indicates apolipoprotein; MetS, metabolic syndrome.

Association of ApoB/ApoAI Ratio With ICAS

For entry into the multivariable models, we selected the covariates that were significant (P<0.05) for ICAS in univariate analyses (Table 1). These included age, sex, smoking, hypertension, diabetes, coronary artery disease, MetS, and LDL-C. The results of the univariate and multiple logistic regression analyses for predictors of ICAS and advanced ICAS are given in Table 2. In these analyses, ICAS was compared with non-ICAS (ECAS and NCAS), whereas advanced ICAS was compared with non-ICAS and nonadvanced (1 or 2) ICAS.

View this table:
  • View inline
  • View popup
Table 2.

Crude and Adjusted ORs for Predictors of ICAS and Advanced ICAS Using Univariate and Multiple Logistic Regression Analyses, Respectively

For ICAS, the univariate analyses showed that patients with higher apoB/apoAI ratio quartiles compared with those with the lowest quartile were associated with an increased risk for ICAS. Other significant variables associated with increasing ICAS risk were age, hypertension, diabetes, coronary artery disease, MetS, and the third and fourth quartiles of LDL-C levels, whereas smoking was less likely to be associated with ICAS than with ECAS or NCAS. Multivariable analyses showed that the highest apoB/apoAI ratio quartile was significantly associated with ICAS (OR, 2.13; 95% CI, 1.05 to 4.33). Other independent variables for ICAS were hypertension (1.75; 1.04 to 2.93), diabetes (2.09; 1.31 to 3.32), coronary artery disease (2.68; 1.09 to 6.57), and MetS (1.81; 1.06 to 3.08), but LDL-C quartiles had no significant association with ICAS.

For advanced ICAS, univariate analyses demonstrated that patients with higher apoB/apoAI ratio quartiles were associated with an increased risk for advanced ICAS. Age, female sex, hypertension, diabetes, MetS, and the highest LDL-C quartile were associated with advanced ICAS, whereas smoking was negatively associated with it. Multivariable analyses indicated that advanced ICAS had a dose–response relationship with apoB/apoAI ratio quartiles: the second quartile, OR, 4.03 (95% CI, 1.26 to 12.88); the third quartile, 4.88 (1.54 to 15.49); and the fourth quartile, 7.79 (2.41 to 25.16), when referenced to the first quartile. Other independent predictors were age (OR, 1.03; 95% CI, 1.00 to 1.06), diabetes (2.07; 1.18 to 3.65), and MetS (3.66; 1.36 to 9.83). The LDL-C quartiles did not show any significant association with advanced ICAS.

The highest quartile of the apoB/apoAI ratio, diabetes, and MetS were independent predictors for both the presence of ICAS and advanced ICAS. The magnitude of the association was greater with advanced ICAS than with the presence of ICAS. The apoB/apoAI ratio as a continuous variable was also independently associated with advanced ICAS (OR, 7.87; 95% CI, 2.47 to 25.10; see Supplemental Table I for full data; http://stroke.ahajournals.org).

After adjusting for 5 MetS components instead of the presence of MetS, the dose–response relationship between the apoB/apoAI ratio and advanced ICAS remained robust; the adjusted ORs for advanced ICAS was 3.96 for the second quartile (95% CI, 1.23 to 12.75), 4.94 for the third quartile (95% CI, 1.54 to 15.88), and 7.75 for the fourth quartile (95% CI, 2.31 to 26.05). Among the MetS components, only high fasting glucose was an independent predictor of advanced ICAS (OR, 3.19; 95% CI, 1.71 to 5.94, see Supplemental Table II for full data).

Discussion

This study suggests that an increased apoB/apoAI ratio might be a risk factor for ICAS. Several studies have indicated an association of the apoB/apoAI ratio and the risk of stroke and extracranial carotid stenosis,10,18–23 but no prior study has demonstrated an association between the apoB/apoAI ratio and ICAS. Patients with ICAS had a greater apoB/apoAI ratio than those with NCAS, and they showed a tendency for a higher apoB/apoAI ratio when compared with those with ECAS. Particularly, the ratio was markedly increased in advanced ICAS. As a result, patients with the highest quartile of the apoB/apoAI ratio had a 2-fold increased risk of ICAS. The risk of advanced ICAS increased monotonically with a higher apoB/apoAI ratio, and it was increased approximately 4 times for the second quartile, approximately 5 times for the third one, and >7 times for the highest one. In contrast, a higher LDL-C level failed to indicate an increased risk of ICAS and advanced ICAS in patients with ischemic stroke after adjusting for covariates. These findings concur with recent studies that demonstrated that the apoB/apoAI ratio is a better predictor of cardiovascular disease than other traditional cholesterol measures.19,24–26

Our study clearly demonstrates the triangular associations among the apoB/apoAI ratio, MetS, and ICAS. As the apoB/apoAI ratio increased, the severity of ICAS and MetS components increased as well as the presence of ICAS and MetS. The findings of the current study conform to prior studies. In patients with MetS, apoB-containing small, dense LDL increases and apoAI-containing HDL decreases. The close association between a higher apoB/apoAI ratio and MetS has been demonstrated in multiple studies.8–10 In a Korean study of patients with ischemic stroke, MetS was most frequently observed in patients with ICAS, and it was an independent risk factor for ICAS.11

The finding of no association between ECAS and the apoB/apoAI ratio in this study contrasts with findings of other studies in which an increased apoB/apoAI ratio was associated with a progression in the intima-media thickness and in higher intima-media thickness values of extracranial carotid arteries.10,20,21 This discrepancy might be attributed to ethnic differences, and, so, our findings need to be replicated in subsequent studies. One study demonstrated an ethnic difference in the association of MetS between ICAS and ECAS. In nonwhite populations, MetS was more closely associated with ICAS than with ECAS, whereas in whites, MetS was associated with ECAS but not with ICAS.27

In a previous study, intracranial arteries had a greater activity of antioxidant enzymes than extracranial arteries.28 In our population, patients with ICAS had a lower value of apoAI, a marker of antioxidant properties, compared with those with ECAS and NCAS. However, the apoB level, a marker of atherogenic properties, did not differ. Therefore, a more selective loss of antioxidant activities in ICAS might explain our findings of an association of the apoB/apoAI ratio with ICAS but not with ECAS.

This study has several limitations. First, we compared the apoB/apoAI ratios within ischemic stroke populations. Because a comparison between patients with ICAS and a healthy population was not performed, the increased apoB/apoAI ratio as a risk for ICAS should be interpreted with caution. Second, our data were obtained in a single center, and, accordingly, an extrapolation of our findings to the general Korean stroke population or other ethnic populations might be limited. Third, apoB and apoAI were measured in an acute period of ischemic stroke and at variable time intervals from stroke onset to blood sampling within 7 days from stroke onset, which potentially jeopardizes the validity of our findings. However, apoB and apoAI levels have been reported to be generally stable during the 4 weeks after a stroke,29 and the time intervals from onset to admission in this study did not differ among the ICAS, ECAS, and NCAS groups. Therefore, the time point of measuring apoB and apoAI is less likely to affect our findings.

ICAS might be the most common and important atherosclerotic subtype in the cerebrovascular bed worldwide as well as in Asian populations. However, studies on the risk factors of ICAS have been limited, and biological markers, which can be therapeutic targets, in ICAS have not been well defined like in ECAS. The current study suggests that the apoB/apoAI ratio is a promising biomarker for ICAS and sets forth the rationale for larger studies of diverse populations.

Sources of Funding

This work was supported by a grant from Kwandong University Myongji Hospital (J.-H.P.), and a grant from the Korean Health Technology R&D Project (D.-E.K.), Ministry for Health, Welfare & Family Affairs (A101904).

Disclosure

None.

  • Received March 10, 2011.
  • Revision received May 1, 2011.
  • Accepted May 20, 2011.
  • © 2011 American Heart Association, Inc.

References

  1. 1.↵
    1. Sniderman AD,
    2. Faraj M
    . Apolipoprotein B, apolipoprotein A-I, insulin resistance and the metabolic syndrome. Curr Opin Lipidol. 2007;18:633–637.
    OpenUrlPubMed
  2. 2.↵
    1. Walldius G,
    2. Jungner I
    . The ApoB/ApoA-I Ratio: A Strong, New Risk Factor for Cardiovascular Disease and a Target for Lipid-Lowering Therapy—A Review of the Evidence. Blackwell Publishing Ltd; 2006:493–519.
  3. 3.↵
    1. Bielicki JK,
    2. Oda MN
    . Apolipoprotein A-I (Milano) and apolipoprotein A-I (Paris) exhibit an antioxidant activity distinct from that of wild-type apolipoprotein A-I. Biochemistry. 2002;41:2089–2096.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Walldius G,
    2. Jungner I
    . Apolipoprotein B and apolipoprotein A-I: risk indicators of coronary heart disease and targets for lipid-modifying therapy. J Intern Med. 2004;255:188–205.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Nissen SE,
    2. Tsunoda T,
    3. Tuzcu EM,
    4. Schoenhagen P,
    5. Cooper CJ,
    6. Yasin M,
    7. et al
    . Effect of recombinant apoA-I Milano on coronary atherosclerosis in patients with acute coronary syndromes: a randomized controlled trial. JAMA. 2003;290:2292–2300.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Sniderman AD,
    2. Furberg CD,
    3. Keech A,
    4. Roeters van Lennep JE,
    5. Frohlich J,
    6. Jungner I,
    7. et al
    . Apolipoproteins versus lipids as indices of coronary risk and as targets for statin treatment. Lancet. 2003;361:777–780.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Howard BV
    . Insulin resistance and lipid metabolism. Am J Cardiol. 1999;84:28J–32J.
    OpenUrlPubMed
  8. 8.↵
    1. Sierra-Johnson J,
    2. Somers VK,
    3. Kuniyoshi FH,
    4. Garza CA,
    5. Isley WL,
    6. Gami AS,
    7. et al
    . Comparison of apolipoprotein-B/apolipoprotein-AI in subjects with versus without the metabolic syndrome. Am J Cardiol. 2006;98:1369–1373.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Lind L,
    2. Vessby B,
    3. Sundstrom J
    . The apolipoprotein B/AI ratio and the metabolic syndrome independently predict risk for myocardial infarction in middle-aged men. Arterioscler Thromb Vasc Biol. 2006;26:406–410.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    1. Wallenfeldt K,
    2. Bokemark L,
    3. Wikstrand J,
    4. Hulthe J,
    5. Fagerberg B
    . Apolipoprotein B/apolipoprotein A-I in relation to the metabolic syndrome and change in carotid artery intima-media thickness during 3 years in middle-aged men. Stroke. 2004;35:2248–2252.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    1. Bang OY,
    2. Kim JW,
    3. Lee JH,
    4. Lee MA,
    5. Lee PH,
    6. Joo IS,
    7. et al
    . Association of the metabolic syndrome with intracranial atherosclerotic stroke. Neurology. 2005;65:296–298.
    OpenUrlAbstract/FREE Full Text
  12. 12.↵
    1. Bang OY
    . Intracranial atherosclerotic stroke: specific focus on the metabolic syndrome and inflammation. Curr Atheroscler Rep. 2006;8:330–336.
    OpenUrlCrossRefPubMed
  13. 13.↵
    Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis. North American Symptomatic Carotid Endarterectomy Trial Collaborators. N Engl J Med. 1991;325:445–453.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Samuels OB,
    2. Joseph GJ,
    3. Lynn MJ,
    4. Smith HA,
    5. Chimowitz MI
    . A standardized method for measuring intracranial arterial stenosis. AJNR Am J Neuroradiol. 2000;21:643–646.
    OpenUrlAbstract/FREE Full Text
  15. 15.↵
    1. Grundy SM,
    2. Cleeman JI,
    3. Daniels SR,
    4. Donato KA,
    5. Eckel RH,
    6. Franklin BA,
    7. et al
    . Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112:2735–2752.
    OpenUrlFREE Full Text
  16. 16.↵
    World Health Organization Western Pacific Region; International Association for the Study of Obesity and the International Obesity Task Force. The Asia-Pacific Perspective: Redefining Obesity and Its Treatment Health Communications. Australia Crows Nest, NSW, Australia. 2000.
  17. 17.↵
    1. Adams HP Jr.,
    2. Bendixen BH,
    3. Kappelle LJ,
    4. Biller J,
    5. Love BB,
    6. Gordon DL,
    7. et al
    . Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke. 1993;24:35–41.
    OpenUrlAbstract/FREE Full Text
  18. 18.↵
    1. Walldius G,
    2. Aastveit AH,
    3. Jungner I
    . Stroke mortality and the apoB/apoA-I ratio: results of the AMORIS prospective study. J Intern Med. 2006;259:259–266.
    OpenUrlCrossRefPubMed
  19. 19.↵
    1. Holme I,
    2. Aastveit AH,
    3. Hammar N,
    4. Jungner I,
    5. Walldius G
    . Relationships between lipoprotein components and risk of ischaemic and haemorrhagic stroke in the Apolipoprotein MOrtality RISk study (AMORIS). J Intern Med. 2009;265:275–287.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Snehalatha C,
    2. Vijay V,
    3. Suresh Mohan R,
    4. Satyavani K,
    5. Sivasankari S,
    6. Megha T,
    7. et al
    . Lack of association of insulin resistance and carotid intimal medial thickness in non-diabetic Asian Indian subjects. Diabetes Metab Res Rev. 2001;17:444–447.
    OpenUrlCrossRefPubMed
  21. 21.↵
    1. Jadhav UM,
    2. Kadam NN
    . Apolipoproteins: correlation with carotid intima media thickness and coronary artery disease. J Assoc Physicians India. 2004;52:370–375.
    OpenUrlPubMed
  22. 22.↵
    1. Bhatia M,
    2. Howard SC,
    3. Clark TG,
    4. Neale R,
    5. Qizilbash N,
    6. Murphy MF,
    7. et al
    . Apolipoproteins as predictors of ischaemic stroke in patients with a previous transient ischaemic attack. Cerebrovasc Dis. 2006;21:323–328.
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. Koren-Morag N,
    2. Goldbourt U,
    3. Graff E,
    4. Tanne D
    . Apolipoproteins B and AI and the risk of ischemic cerebrovascular events in patients with pre-existing atherothrombotic disease. J Neurol Sci. 2008;270:82–87.
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Walldius G,
    2. Jungner I,
    3. Holme I,
    4. Aastveit AH,
    5. Kolar W,
    6. Steiner E
    . High apolipoprotein B, low apolipoprotein A-I, and improvement in the prediction of fatal myocardial infarction (AMORIS study): a prospective study. Lancet. 2001;358:2026–2033.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Yusuf S,
    2. Hawken S,
    3. Ounpuu S,
    4. Dans T,
    5. Avezum A,
    6. Lanas F,
    7. et al
    . Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case–control study. Lancet. 2004;364:937–952.
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Holme I,
    2. Aastveit AH,
    3. Jungner I,
    4. Walldius G
    . Relationships between lipoprotein components and risk of myocardial infarction: age, gender and short versus longer follow-up periods in the Apolipoprotein MOrtality RISk study (AMORIS). J Intern Med. 2008;264:30–38.
    OpenUrlCrossRefPubMed
  27. 27.↵
    1. Bang OY,
    2. Saver JL,
    3. Liebeskind DS,
    4. Pineda S,
    5. Yun SW,
    6. Ovbiagele B
    . Impact of metabolic syndrome on distribution of cervicocephalic atherosclerosis: data from a diverse race–ethnic group. J Neurol Sci. 2009;284:40–45.
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. D'Armiento FP,
    2. Bianchi A,
    3. de Nigris F,
    4. Capuzzi DM,
    5. D'Armiento MR,
    6. Crimi G,
    7. et al
    . Age-related effects on atherogenesis and scavenger enzymes of intracranial and extracranial arteries in men without classic risk factors for atherosclerosis. Stroke. 2001;32:2472–2479.
    OpenUrlAbstract/FREE Full Text
  29. 29.↵
    1. Kargman DE,
    2. Tuck C,
    3. Berglund L,
    4. Lin IF,
    5. Mukherjee RS,
    6. Thompson EV,
    7. et al
    . Lipid and lipoprotein levels remain stable in acute ischemic stroke: the Northern Manhattan Stroke Study. Atherosclerosis. 1998;139:391–399.
    OpenUrlCrossRefPubMed
View Abstract

Jump to

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Sources of Funding
    • Disclosure
    • References
  • Figures & Tables
  • Supplemental Materials
  • Info & Metrics
  • eLetters
Back to top
Previous ArticleNext Article

This Issue

Stroke
November 2011, Volume 42, Issue 11
  • Table of Contents
Previous ArticleNext Article

Jump to

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Sources of Funding
    • Disclosure
    • References
  • Figures & Tables
  • Supplemental Materials
  • Info & Metrics

Article Tools

  • Print
  • Citation Tools
    High Levels of Apolipoprotein B/AI Ratio Are Associated With Intracranial Atherosclerotic Stenosis
    Jong-Ho Park, Keun-Sik Hong, Eun-Ja Lee, Juneyoung Lee and Dong-Eog Kim
    Stroke. 2011;42:3040-3046, originally published October 24, 2011
    https://doi.org/10.1161/STROKEAHA.111.620104

    Citation Manager Formats

    • BibTeX
    • Bookends
    • EasyBib
    • EndNote (tagged)
    • EndNote 8 (xml)
    • Medlars
    • Mendeley
    • Papers
    • RefWorks Tagged
    • Ref Manager
    • RIS
    • Zotero
  •  Download Powerpoint
  • Article Alerts
    Log in to Email Alerts with your email address.
  • Save to my folders

Share this Article

  • Email

    Thank you for your interest in spreading the word on Stroke.

    NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

    Enter multiple addresses on separate lines or separate them with commas.
    High Levels of Apolipoprotein B/AI Ratio Are Associated With Intracranial Atherosclerotic Stenosis
    (Your Name) has sent you a message from Stroke
    (Your Name) thought you would like to see the Stroke web site.
  • Share on Social Media
    High Levels of Apolipoprotein B/AI Ratio Are Associated With Intracranial Atherosclerotic Stenosis
    Jong-Ho Park, Keun-Sik Hong, Eun-Ja Lee, Juneyoung Lee and Dong-Eog Kim
    Stroke. 2011;42:3040-3046, originally published October 24, 2011
    https://doi.org/10.1161/STROKEAHA.111.620104
    del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo

Related Articles

Cited By...

Subjects

  • Basic, Translational, and Clinical Research
    • Metabolism
  • Epidemiology, Lifestyle, and Prevention
    • Epidemiology

Stroke

  • About Stroke
  • Instructions for Authors
  • Stroke CME
  • Guidelines and Statements
  • Meeting Abstracts
  • Permissions
  • Journal Policies
  • Email Alerts
  • Open Access Information
  • AHA Journals RSS
  • AHA Newsroom

Editorial Office Address:
200 5th Avenue
Suite 1020
Waltham, MA 02451
email: stroke@strokeahajournal.org

Information for:
  • Advertisers
  • Subscribers
  • Subscriber Help
  • Institutions / Librarians
  • Institutional Subscriptions FAQ
  • International Users
American Heart Association Learn and Live
National Center
7272 Greenville Ave.
Dallas, TX 75231

Customer Service

  • 1-800-AHA-USA-1
  • 1-800-242-8721
  • Local Info
  • Contact Us

About Us

Our mission is to build healthier lives, free of cardiovascular diseases and stroke. That single purpose drives all we do. The need for our work is beyond question. Find Out More about the American Heart Association

  • Careers
  • SHOP
  • Latest Heart and Stroke News
  • AHA/ASA Media Newsroom

Our Sites

  • American Heart Association
  • American Stroke Association
  • For Professionals
  • More Sites

Take Action

  • Advocate
  • Donate
  • Planned Giving
  • Volunteer

Online Communities

  • AFib Support
  • Garden Community
  • Patient Support Network
  • Professional Online Network

Follow Us:

  • Follow Circulation on Twitter
  • Visit Circulation on Facebook
  • Follow Circulation on Google Plus
  • Follow Circulation on Instagram
  • Follow Circulation on Pinterest
  • Follow Circulation on YouTube
  • Rss Feeds
  • Privacy Policy
  • Copyright
  • Ethics Policy
  • Conflict of Interest Policy
  • Linking Policy
  • Diversity
  • Careers

©2018 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. The American Heart Association is a qualified 501(c)(3) tax-exempt organization.
*Red Dress™ DHHS, Go Red™ AHA; National Wear Red Day ® is a registered trademark.

  • PUTTING PATIENTS FIRST National Health Council Standards of Excellence Certification Program
  • BBB Accredited Charity
  • Comodo Secured