Abstract
Background/Aims
This study aimed to investigate whether the apolipoprotein (Apo) B/ApoA-I ratio is associated with carotid intima-media thickness (CIMT) in type 2 diabetes mellitus (T2DM) subjects with low density lipoprotein cholesterol (LDL-C) levels less than 100 mg/dL.
Methods
This cross-sectional study included 845 subjects aged with T2DM 40 to 75 years who had visited Huh’s Diabetes Center in Seoul, Republic of Korea for CIMT measurement. Traditional fasting lipid profiles, ApoB and ApoA-I levels were examined. CIMT was measured at three points on the far wall of 1 cm long section of the common carotid artery in the proximity of the carotid bulb. The mean value of six measurements from right and left carotid arteries were used as the mean CIMT. In this study, carotid atherosclerosis was defined as having a focal plaque or diffuse thickening of the carotid wall (mean CIMT ≥ 1.0 mm)
Results
The prevalence of carotid atherosclerosis increased with ApoB/ApoA-I ratio. The ApoB/ApoA-I ratio, expressed as both quartiles (odds ratio [OR], 2.14; 95% confidence interval [CI], 1.21 to 3.79; p for trend = 0.014) and continuous values (OR, 10.05; 95% CI, 3.26 to 30.97; p < 0.001), was significantly associated with a higher risk for carotid atherosclerosis, regardless of conventional cardiovascular disease risk factors. The optimal ApoB/ApoA-I ratio cutoff value for detecting carotid atherosclerosis was 0.57, based on receiver operating characteristic curve analysis with a sensitivity of 58.0% and a specificity of 55.1%.
Conclusions
A high ApoB/ApoA-I ratio was significantly associated with carotid atherosclerosis in T2DM patients with LDL-C levels less than 100 mg/dL.
Keywords: Apolipoprotein B/Apolipoprotein A-I ratio; Carotid intima-media thickness; Cholesterol, LDL; Diabetes mellitus, type 2
INTRODUCTION
Low density lipoprotein cholesterol (LDL-C) is an independent determinant of cardiovascular disease (CVD). The American Diabetes Association recommends that a moderate intensity statin should be considered for patients aged 40 to 75 years with diabetes, even when additional CVD risk factors are not present [1]. Several other guidelines also include LDL-C as a primary target for initial lipid-lowering treatment [2-4]. However, LDL-C levels are not always elevated in patients with coronary heart disease (CHD) [5,6]. One possible explanation for this is that specific LDL sub-fractions, rather than total LDL-C, may be more important in atherosclerosis because small dense LDL particles can easily penetrate into the arterial wall and are more susceptible to oxidation [7]. In addition, substantial LDL-C heterogenicity was found in type 2 diabetes mellitus (T2DM) patients with LDL-C levels less than 100 mg/dL [8].
In addition to total cholesterol, different lipoprotein fractions can also inform CVD risk. A single molecule of apolipoprotein (Apo) B is present in each small dense LDL, and reflects the total number of atherogenic particles. In addition, ApoA-I transfers excess cholesterol to the liver from high density lipoprotein (HDL) particles [9]. Therefore, the ApoB/ApoA-I ratio is a marker of atherogenic and anti-atherogenic cholesterol balance in plasma [10,11]. Previous studies found that the ApoB/ApoA-I ratio was significantly associated with the risk of fatal myocardial infarction (MI) regardless of conventional CVD risk factors [12,13], even when the levels of other lipids were within normal ranges [14]. Moreover, one study found that the ApoB/ApoA-I ratio was a superior predictor of CHD risk compared to the total cholesterol/HDL-C, LDL-C/HDL-C, and non HDL-C/HDL-C ratio [15].
Insulin resistance is related to abnormalities in plasma lipid and lipoprotein levels. Diabetic dyslipidemia is characterized by hypertriglyceridemia, low HDL-C, a predominance of small dense LDL, and normal to high LDL-C levels [16]. Therefore, the aim of this study was to investigate whether the ApoB/ApoA-I ratio is associated with subclinical atherosclerosis, as assessed by carotid intima-media thickness (CIMT) in T2DM patients with well-controlled LDL-C levels.
METHODS
Study subjects
In total, 3,637 subjects with T2DM aged 40 to 75 years, who visited Huh’s Diabetes Center in Seoul, Republic of Korea from 2003 to 2008 and who had CIMT measurements, were retrospectively screened. Of these patients, 834 were excluded due to previous history of CVD (n = 34), abnormal liver function tests such as elevated total bilirubin > 2.0 mg/dL or liver enzymes more than twice the upper normal limit (n = 192), estimated glomerular filtration rate < 60 mL/min/1.73 m2 (n = 310), incomplete measurement of CIMT (n = 44), and missing clinical variables (n = 254). Subjects with LDL-C levels ≥ 100 mg/dL were also excluded (n = 1,885). In addition, subjects with triglycerides (TG) ≥ 400 mg/dL (n = 12), and who took fibrates (n = 107), were excluded because hypertriglyceridemia can underestimate LDL-C levels [17]. Finally, 845 subjects (462 men and 383 women) were enrol led in the study (Supplementary Fig. 1), which was approved by the Institutional Review Board of Yonsei University (IBR NO. 4-2017-0288). Due to the retrospective nature of this study, the requirement for written informed consent was waived.
Clinical variable measurement
All blood samples were collected from the antecubital vein after an 8 to 12 hours overnight fast. Fasting plasma glucose, total cholesterol, TG, HDL-C, and LDL-C concentrations were measured enzymatically using a 747 chemical analyzer (Hitachi, Tokyo, Japan). ApoB and ApoA-I were measured using the 7080 chemical analyzer (Hitachi). Glycated hemoglobin (HbA1c) was determined using high-performance liquid chromatography method (Variant II, Greencross, Seoul, Korea). Fasting C-peptide levels were measured using a double-antibody radioimmunoassay (DiaSorin, Stillwater, MN, USA).
Insulin sensitivity was directly assessed with a short insulin tolerance test that measured the rate of plasma glucose disappearance (Kitt, %/min) after intravenous injection of regular insulin (0.1 U/kg) as described previously [18-21]. Blood was obtained just prior to insulin injection (0 minute), and at 3, 6, 9, 12, and 15 minutes after the injection. Plasma glucose concentrations were determined immediately after sampling using Beckman glucose analyzer II (Beckman Ins., Fullerton, CA, USA) and then Kitt was calculated from the slope of the fall in log-transformed plasma glucose concentrations between 3 and 15 minutes using the following formula: Kitt (rate constant for plasma glucose disappearance) = 0.693/t1/2 × 100 (%/min). We routinely infused 100 mL of 20% dextrose solution immediately after the test to avoid any potential hypoglycemia.
CIMT measurement
Both carotid arteries were scanned using a high-resolution real-time B-mode ultrasonography with a 10-MHz linear transducer (LOGIQ 7, GE, Milwaukee, WI, USA), as previously described [21-24]. The CIMT was defined as the distance between the lumen-intima and media-adventitia interfaces [25,26]. CIMT was measured at three points on the far wall of 1 cm long section of the common carotid artery in the proximity of the carotid bulb. The mean value of six measurements from right and left carotid arteries were used as the mean CIMT [21]. Carotid plaque was defined as focal structures encroaching into the arterial lumen of at least 0.5 mm or 50% of the surrounding intima-media thickness value, or a thickness > 1.5 mm [26]. In this study, carotid atherosclerosis was defined as having a carotid plaque or diffuse thickening of the carotid wall (mean CIMT ≥ 1.0 mm) [21,27].
Statistical analyses
Data are expressed as mean ± standard deviation, medians (interquartile range), or numbers (%). Differences between two groups were evaluated using a t test or Mann-Whitney U test for continuous variables, and by a chi-square test for categorical variables. One way analysis of variance was used to investigate differences in variables between ApoB/ApoA-I ratio quartiles. LDL-C levels were log-transformed due to the skewed distribution. Logistic regression analyses were conducted to examine the correlations between ApoB/ApoA-I ratio and the prevalence of carotid atherosclerosis, with and without adjustment for conventional CVD risk factors. The strength of the association between the ApoB/ApoA-I ratio and mean CIMT was tested by Pearson correlation analysis. A variance of inflation factor > 5.0 was used as an indicator of multicollinearity. To evaluate the utility of the ApoB/ApoA-I ratio as a marker for carotid atherosclerosis, we used receiver operating characteristic (ROC) curves and calculated the area under the curve (AUC). All statistical analyses were performed using SPSS version 23.0 (IBM Co., Armonk, NY, USA) and STATA software version 13.0 (StataCorp LP, College Station, TX, USA). A p value of < 0.05 was considered significant.
RESULTS
Baseline characteristics of all subjects
Baseline characteristics of the subjects with or without carotid atherosclerosis are shown in Table 1. The mean age of all subjects was 57.2 years, the mean body mass index (BMI) was 24.3 kg/m2, and the median LDL-C level was 84.0 mg/dL. Subjects with carotid atherosclerosis were older, had higher BMIs and systolic blood pressure (BP), had experienced diabetes for a longer duration, had higher C-peptide levels, and were more insulin resistant. The proportion of men, statin use, and anti-hypertensive drug use were significantly higher among subjects with carotid atherosclerosis. HDL-C, LDL-C, ApoB, and the ApoB/ApoA-I ratio were also higher in subjects with carotid atherosclerosis, while ApoA-I was lower. There was no remarkable difference in total cholesterol or TG, use of thiazolidinedione or smoking status between groups.
Table 1.
Clinical characteristics of type 2 diabetes patients according to the prevalence of carotid atherosclerosis
| Characteristic | Total | Carotid atherosclerosisa |
p value | |
|---|---|---|---|---|
| No | Yes | |||
| No. of patients | 845 | 520 (61.7) | 325 (38.3) | |
| Age, yr | 57.2 ± 8.3 | 55.1 ± 8.0 | 60.5 ± 7.6 | < 0.001 |
| Male sex | 462 (54.7) | 268 (51.5) | 194 (59.7) | 0.021 |
| Body mass index, kg/m2 | 24.3 ± 3.2 | 24.1 ± 3.3 | 24.7 ± 3.0 | 0.009 |
| SBP, mmHg | 133.2 ± 17.3 | 131.1 ± 17.0 | 136.6 ± 17.1 | < 0.001 |
| DBP, mmHg | 85.6 ± 11.4 | 85.4 ± 11.4 | 85.8 ± 11.5 | 0.629 |
| DM duration, yr | 8.1 ± 7.3 | 7.0 ± 6.7 | 9.8 ± 7.9 | < 0.001 |
| Use of statins | 163 (19.3) | 86 (16.5) | 77 (23.7) | 0.010 |
| Use of anti-hypertensive drugs | 258 (30.5) | 139 (26.7) | 119 (36.6) | 0.002 |
| Use of insulin | 95 (11.2) | 53 (10.2) | 42 (12.9) | 0.222 |
| Use of TZD | 95 (11.2) | 52 (10.0) | 43 (13.2) | 0.148 |
| Current smokerb | 112 (24.2) | 70 (26.4) | 42 (21.3) | 0.207 |
| HbA1c, % | 7.9 ± 1.7 | 7.8 ± 1.8 | 8.0 ± 1.6 | 0.107 |
| Fasting glucose, mg/dL | 148.3 ± 54.0 | 148.0 ± 54.8 | 149.0 ± 52.8 | 0.813 |
| Total cholesterol, mg/dL | 160.2 ± 21.8 | 159.5 ± 21.9 | 161.5 ± 21.6 | 0.188 |
| Triglycerides, mg/dL | 132.9 ± 72.1 | 128.9 ± 72.1 | 139.3 ± 71.6 | 0.041 |
| HDL-C, mg/dL | 52.3 ± 15.3 | 53.6 ± 15.4 | 50.3 ± 14.9 | 0.002 |
| LDL-C, mg/dL | 84.0 (71.0–92.0) | 83.0 (70.0–92.0) | 86.0 (75.0–92.0) | 0.017 |
| ApoB, mg/dL | 80.8 ± 19.5 | 78.5 ± 18.8 | 84.4 ± 20.1 | < 0.001 |
| ApoA-I, mg/dL | 138.4 ± 27.8 | 140.9 ± 28.4 | 134.4 ± 26.4 | 0.001 |
| ApoB/ApoA-I ratio | 0.61 ± 0.18 | 0.58 ± 0.17 | 0.65 ± 0.20 | < 0.001 |
| C-peptide, ng/mL | 1.8 ± 0.8 | 1.8 ± 0.8 | 1.9 ± 0.8 | 0.029 |
| Kitt, %/min | 2.2 ± 1.0 | 2.3 ± 1.0 | 2.1 ± 1.0 | 0.001 |
Values are presented as number (%), mean ± SD, or median (interquartile range).
SBP, systolic blood pressure; DBP, diastolic blood pressure; DM, diabetes mellitus; TZD, thiazolidinedione; HbA1c, glycated hemoglobin; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; Apo, apolipoprotein; Kitt, rate constant for plasma glucose disappearance.
Carotid atherosclerosis is defined as carotid intima-media thickness ≥ 1.0 mm or presence of plaque.
Value was measured in 462 subjects.
When the subjects were divided into quartiles based on their ApoB/ApoA-I ratios (Table 2), the prevalence of carotid atherosclerosis significantly increased across quartiles. BMI, proportion of men, TG levels, LDL-C levels, and C-peptide increased, while HDL-C and Kitt decreased across quartiles.
Table 2.
Baseline characteristics of total subjects according to apolipoprotein B/apolipoprotein A-I ratio quartiles
| Variable | Quartile 1 (0.16–0.48) | Quartile 2 (0.49–0.57) | Quartile 3 (0.58–0.70) | Quartile 4 (0.71–1.59) | p value |
|---|---|---|---|---|---|
| No. of patients | 211 | 211 | 214 | 209 | |
| Mean CIMTa, mm | 0.84 ± 0.14 | 0.89 ± 0.19 | 0.90 ± 0.19 | 0.93 ± 0.23 | < 0.001 |
| Presence of plaqueb | 3 (1.4) | 7 (3.3) | 6 (2.8) | 17 (8.1) | 0.001 |
| Carotid atherosclerosisc | 54 (25.6) | 81 (38.4) | 90 (42.1) | 100 (47.8) | < 0.001 |
| Age, yr | 57.6 ± 7.6 | 57.5 ± 8.3 | 56.9 ± 8.3 | 56.6 ± 8.8 | 0.545 |
| Male sex | 89 (42.2) | 111 (52.6) | 136 (63.6) | 126 (60.3) | < 0.001 |
| Body mass index, kg/m2 | 23.5 ± 3.3 | 24.0 ± 3.0 | 24.6 ± 2.9 | 25.1 ± 3.3 | < 0.001 |
| SBP, mmHg | 132.8 ± 19.0 | 132.1 ± 17.3 | 134.1 ± 17.5 | 133.9 ± 15.0 | 0.592 |
| DBP, mmHg | 85.6 ± 12.1 | 84.5 ± 11.7 | 86.2 ± 11.7 | 85.9 ± 10.1 | 0.492 |
| DM duration, yr | 7.9 ± 7.2 | 8.7 ± 7.6 | 7.5 ± 7.1 | 8.2 ± 7.5 | 0.454 |
| Use of statins | 39 (18.5) | 48 (22.7) | 41 (19.2) | 35 (16.7) | 0.472 |
| Use of anti-hypertensive drugs | 58 (27.5) | 74 (35.1) | 65 (30.4) | 61 (29.2) | 0.976 |
| Use of insulin | 32 (15.2) | 20 (9.5) | 20 (9.3) | 23 (11.0) | 0.194 |
| Use of TZD | 23 (10.9) | 30 (14.2) | 18 (8.4) | 24 (11.5) | 0.671 |
| Current smokerd | 20 (18.0) | 24 (20.3) | 32 (27.1) | 36 (31.3) | 0.009 |
| HbA1c, % | 7.9 ± 1.7 | 7.8 ± 1.6 | 7.8 ± 1.7 | 8.1 ± 1.9 | 0.288 |
| Fasting glucose, mg/dL | 146.6 ± 55.7 | 146.6 ± 48.7 | 147.4 ± 54.1 | 152.8 ± 57.3 | 0.590 |
| Total cholesterol, mg/dL | 160.9 ± 24.5 | 158.3 ± 20.9 | 159.6 ± 19.2 | 162.1 ± 22.2 | 0.305 |
| Triglycerides, mg/dL | 99.8 ± 45.2 | 125.8 ± 70.6 | 138.8 ± 70.9 | 167.3 ± 80.3 | < 0.001 |
| HDL-C, mg/dL | 65.3 ± 16.0 | 54.5 ± 11.5 | 47.9 ± 9.8 | 41.6 ± 12.0 | < 0.001 |
| LDL-C, mg/dL | 79.0 (65.0–89.0) | 81.0 (70.0–91.0) | 87.0 (77.0–93.0) | 89.0 (81.0–94.0) | < 0.001 |
| C-peptide, ng/mL | 1.6 ± 0.7 | 1.7 ± 0.8 | 1.8 ± 0.8 | 2.1 ± 1.0 | < 0.001 |
| Kitt, %/min | 2.3 ± 0.9 | 2.2 ± 1.0 | 2.2 ± 1.0 | 2.0 ± 1.0 | 0.031 |
Values are presented as mean ± SD, number (%), or median (interquartile range).
CIMT, carotid intima-media thickness; SBP, systolic blood pressure; DBP, diastolic blood pressure; DM, diabetes mellitus; TZD, thiazolidinedione; HbA1c, glycated hemoglobin; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; Kitt, rate constant for plasma glucose disappearance.
Mean CIMT is defined as the mean value of six measurements from right and left carotid arteries.
Carotid plaque is defined as focal structures encroaching into the arterial lumen of at least 0.5 mm or 50% of the surrounding intima-media thickness value, or a thickness > 1.5 mm.
Carotid atherosclerosis is defined as having a carotid plaque or diffuse thickening of carotid wall (mean CIMT ≥ 1.0 mm).
Value was measured in 462 subjects.
Prevalence of carotid atherosclerosis by ApoB/ApoA-I ratio quartile and LDL-C
Fig. 1 shows the percentage of patients with carotid atherosclerosis by ApoB/ApoA-I ratio quartile and LDL-C level. The percentage of patients with carotid atherosclerosis (54.5%) was highest in subjects with high ApoB/ApoA-I ratios (range, 0.71 to 1.59) and high LDL-C levels (range, 92 to 100 mg/dL). The ApoB/ApoA-I ratio was consistently associated with the prevalence of carotid atherosclerosis in T2DM patients with LDL-C level less than 100 mg/dL. However, higher LDL-C levels were not always associated with a higher prevalence of carotid atherosclerosis among them (Fig. 1)
Figure 1.
Prevalence of carotid atherosclerosis according to low density lipoprotein cholesterol (LDL-C) quartile and the apolipoprotein (Apo) B/ApoA-I ratio quartile.
The risk for carotid atherosclerosis according to ApoB/ApoA-I ratio
The association between the ApoB/ApoA-I ratio and carotid atherosclerosis was analyzed by logistic regression analyses. Univariate logistic regression analyses revealed that age, male sex, duration of diabetes, BMI, systolic BP, TG, HDL-C, log-transformed LDL-C, C-peptide, Kitt, use of anti-hypertensive drugs, use of statins, ApoB, ApoA-I, and ApoB/ApoA-I ratio were significant risk factors for carotid atherosclerosis (Supplementary Table 1). Multivariate logistic regression analyses (Table 3, Models 1 to 4) showed that a higher ApoB/ApoA-I ratio, expressed both as quartile and continuous values, was significantly associated with a higher risk of carotid atherosclerosis, regardless of age, sex, BMI, systolic BP, duration of diabetes, use of statins, use of anti-hypertensive drugs, TG, HDL-C, log-transformed LDL-C, or Kitt. These factors were all significant based on the univariate logistic regression analyses, along with HbA1c, and are known risk factors for atherosclerosis (Model 4). The association between the ApoB/ApoA-I ratio and carotid atherosclerosis was still significant in males (odds ratio [OR], 6.73; 95% confidence interval [CI], 2.30 to 19.71; p = 0.001) and females (OR, 12.15; 95% CI, 3.77 to 39.14; p < 0.001) when the ApoB/ApoA-I ratio was analyzed as a continuous variable in a logistic regression model that was fully adjusted for baseline parameters (data not shown).
Table 3.
Risk for carotid atherosclerosis according to the ApoB/ApoA-I ratio
| Quartiles of ApoB/ApoA-I ratio |
Continuous variable OR (95% CI) | p value | |||||
|---|---|---|---|---|---|---|---|
| Quartile 1 (0.16–0.48) | Quartile 2 (0.49–0.57) | Quartile 3 (0.58–0.70) | Quartile 4 (0.71–1.59) | p for trend | |||
| Crude model | 1 (reference) | 1.81 (1.20–2.75) | 2.11 (1.40–3.18) | 2.67 (1.77–4.03) | < 0.001 | 9.51 (4.32–20.91) | < 0.001 |
| Model 1a | 1 (reference) | 1.84 (1.18–2.85) | 2.21 (1.42–3.43) | 3.01 (1.93–4.67) | < 0.001 | 13.67 (5.76–32.49) | < 0.001 |
| Model 2b | 1 (reference) | 1.75 (1.12–2.74) | 2.12 (1.36–3.31) | 2.76 (1.76–4.34) | < 0.001 | 12.27 (5.01–30.09) | < 0.001 |
| Model 3c | 1 (reference) | 1.57 (0.98–2.53) | 1.75 (1.04–2.93) | 2.14 (1.21–3.79) | 0.014 | 10.05 (3.26–30.95) | < 0.001 |
| Model 4d | 1 (reference) | 1.57 (0.98–2.53) | 1.75 (1.04–2.93) | 2.14 (1.21–3.79) | 0.014 | 10.05 (3.26–30.97) | < 0.001 |
Apo, apolipoprotein; OR, odds ratio; CI, confidence interval.
Model 1 was adjusted for age and sex.
Model 2 was additionally adjusted for body mass index, systolic blood pressure, duration of diabetes mellitus, glycated hemoglobin, use of statins, and use of anti-hypertensive drugs.
Model 3 was additionally adjusted for triglycerides, high density lipoprotein cholesterol, and log-transformed low density lipoprotein cholesterol
Model 4 was additionally adjusted for rate of plasma glucose disappearance (Kitt).
Further, the association between the ApoB/ApoA-I ratio and mean CIMT was analyzed by Pearson correlation coefficient (Fig. 2). ApoB/ApoA-I was positively correlated with mean CIMT in both men (r = 0.09, p = 0.047) and women (r = 0.14, p = 0.007). Finally, a significant positive correlation was observed in all T2DM subjects (r = 0.12, p < 0.001).
Figure 2.
Correlation between the apolipoprotein (Apo) B/ApoA-I ratio and mean carotid intima-media thickness (CIMT). Black squares for male and white squares for female.
Predictive value of the ApoB/ApoA-I ratio for detecting carotid atherosclerosis
The optimal cutoff value of the ApoB/ApoA-I ratio for detecting carotid atherosclerosis was 0.57 in ROC analysis of all subjects, with a sensitivity of 58.0% and a specificity of 55.1%. The cutoff value was 0.60 in men and 0.56 in women. The AUC of the unadjusted ROC curve was 0.61 (95% CI, 0.57 to 0.64; p < 0.001), and the AUC of the ROC curve adjusted for age, sex, BMI, systolic BP, duration of diabetes, HbA1c, use of statins, use of anti-hypertensive drugs, TG, HDL-C, log-transformed LDL-C, and Kitt was 0.75 (95% CI, 0.72 to 0.78; p < 0.001) (Fig. 3). Using 0.57 as the cut-off value, the OR for carotid atherosclerosis was 1.47 (95% CI, 1.01 to 2.15; p = 0.044) after adjusting for age, sex, BMI, systolic BP, duration of diabetes, HbA1c, use of statins, use of anti-hypertensive drugs, TG, HDL-C, log-transformed LDL-C, and Kitt.
Figure 3.
Receiver operating characteristic curves of the apolipoprotein (Apo) B/ApoA-I ratio for detecting carotid atherosclerosis. (A) The area under the curve (AUC) of the ApoB/ApoA-I ratio before adjusting for covariates. (B) The AUC of the ApoB/ApoA-I ratio with adjusting for age, sex, body mass index, systolic blood pressure, duration of diabetes, glycated hemoglobin, use of statins, and use of anti-hypertensive drugs, triglycerides, high density lipoprotein cholesterol, and log-transformed low density lipoprotein cholesterol, and the rate of plasma glucose disappearance (Kitt).
DISCUSSION
This study showed that a high ApoB/ApoA-I ratio was significantly associated with carotid atherosclerosis in T2DM patients with well-controlled LDL-C concentrations, regardless of conventional CVD risk factors and insulin sensitivity. The distribution of ApoB/ApoA-I ratios was heterogeneous among the study subjects, despite the controlled LDL-C levels lower than 100 mg/dL. In addition, higher LDL-C concentrations were not always associated with a higher prevalence of carotid atherosclerosis.
Apos are crucial components of plasma lipoprotein particles. ApoB has two major components: ApoB-48, which complexes with dietary TG and free cholesterol from the gut lumen; and ApoB-100, which is present in LDL, intermediate density lipoprotein, and very low density lipoprotein (VLDL) particles [28]. The total number of ApoB particles indicates the total number of atherogenic lipoproteins, because one ApoB molecule is present in each of these lipoproteins [9]. ApoA includes ApoA-I, the main constituent of HDL, which removes excess cholesterol from tissues via lecithin cholesterol acyltransferase, and ApoA-II, which inhibits hepatic and lipoprotein lipase activity by reducing plasma HDL levels [29]. Thus, the ApoB/ApoA-I ratio represents the balance between atherogenic and anti-atherogenic particles, and may improve the prediction of CVD risk.
Several large studies found that the ApoB/ApoA-I ratio was strongly predictive of MI risk. The AMORIS (Apolipoprotein-related MOrtality RISk) study showed that ApoB, ApoA-I, and the ApoB/ApoA-I ratio were stronger predictors of fatal MI risk than total cholesterol or TG [14]. The INTERHEART (effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries) study, which enrolled patients in 52 countries, demonstrated that the non-fasting ApoB/ApoA-I ratio was superior to any other cholesterol ratios for estimating acute MI risk [30]. The PRIME (PRospective Epidemiologic study of Myocardial Infarction) study used a prospective cohort that included healthy middle-aged men, and also found that the ApoB/ApoA-I ratio significantly predicted future CHD and ischemic stroke [31]. Finally, a meta-analysis of 23 relevant prospective studies revealed that high ApoB/ApoA-I ratios resulted in a 1.8-fold increase in the risk for CHD compared to low ratios [32]. Even in subjects with LDL-C levels less than 100 mg/dL, 89.7% of subjects who had higher ApoB/ApoA-I ratios (> 0.8) were diagnosed with angiographically proven coronary artery disease (CAD), and the ApoB/ApoA-I ratio was also positively correlated with CAD severity [33]. In addition, both overt CVD and subclinical atherosclerosis were significantly associated with the ApoB/ApoA-I ratio. An increase in the ApoB/ApoA-I ratio was associated with an over 50% increased risk for coronary artery stenosis and non-calcified plaque occurrence [34]. The ApoB/ApoA-I ratio was also positively associated with 3-year alterations in CIMT in middle-aged men [35].
Diabetic dyslipidemia is accompanied by abnormal lipid concentrations and altered lipoprotein composition. Dyslipidemia in T2DM is usually characterized by hypertriglyceridemia, reduced HDL-C, and more prevalent small dense LDL, while LDL-C concentration is normal or slightly increased [16,36]. This dyslipidemia was also found in patients with prediabetes who had higher insulin resistance and relatively normal glycemic indices [37]. Insulin resistance, which plays a key role in T2DM development, enhances the hepatic secretion of VLDL and regulates ApoB degradation. Increased ApoB and TG results in reduced HDL-C, and a consequent increase in the ApoB/ApoA-I ratio [38]. Our results demonstrated a positive correlation between ApoB/ApoA-I ratio quartile and insulin resistance measured by Kitt, although the association between the ApoB/ApoA-I ratio was still significant after adjustment for Kitt in T2DM subjects. However, few studies have been conducted on the association between ApoB/ApoA-I ratio and overt CVD or subclinical atherosclerosis in diabetic patients. One previous population-based cohort study revealed that a higher ApoB/ApoA-I ratio was associated with a higher risk of cardiovascular mortality, independent of non HDL-C in T2DM patients; this association was more evident in patients aged over 70 years [39]. Other cross-sectional studies showed that the ApoB/ApoA-I ratio was positively correlated with CIMT in diabetic patients [33,40].
The AMORIS and INTERHEART studies suggested that an ApoB/ApoA-I ratio of 0.90 for men and 0.80 for women were indicative of a high CVD risk, and values of less than 0.70 in men and 0.60 in women were considered to indicate low CVD risk if no other risk factors were present [12,14]. The optimal cutoff value for ApoB/ApoA-I in this study was lower than previously suggested values obtained in the context of mostly non-diabetic subjects. This suggests that smaller alterations in lipoprotein composition are associated with CVD in patients with diabetes. Incidentally, diabetes is already classified as a risk factor for CVD. Another explanation is that the ApoB/ApoA-I ratio decreased relative to the low concentration of LDL-C.
This study had several limitations. First, we could not determine a causal relationship between the ApoB/ApoA-I ratio and carotid atherosclerosis due to the cross-sectional design. Second, there were no data about menopausal state leading to changes in lipid profile [41]. Third, there were incomplete smoking history and lack of data about the anti-platelet agents including aspirin or duration of statin treatment, which are known associated factors with atherosclerosis. Lastly, this study was performed at a single center in Korea; hence, it does not represent the general diabetic population. However, in contrast to the previous similar studies [33,40], the strength of our study is that we demonstrated the correlation between ApoB/Apo-I ratio and carotid atherosclerosis, especially among T2DM patients with well-controlled LDL-C.
In conclusion, the ApoB/ApoA-I ratio was independently associated with risk of carotid atherosclerosis in T2DM patients whose LDL-C levels were less than 100 mg/dL. Lowering LDL-C is undoubtedly an effective means of controlling CVD risk, but other lipid-modifying strategies may also be important in specific populations. Although the American College of Cardiology Foundation/American Heart Association and the National Academy of Clinical Biochemistry do not recommend measurement of Apos or any additional lipid parameters beyond a standard lipid panel for CVD risk assessment [42,43], the ApoB/ApoA-I ratio may be a useful marker for CVD risk, especially in T2DM subjects with well-controlled LDL-C levels.
KEY MESSAGE
1. The apolipoprotein (Apo) B/ApoA-I ratio was significantly associated with carotid atherosclerosis in type 2 diabetes mellitus (T2DM) patients with low density lipoprotein cholesterol (LDL-C) level below 100 mg/dL.
2. Higher LDL-C levels were not always associated with a higher prevalence of carotid atherosclerosis in T2DM patients.
Footnotes
No potential conflict of interest relevant to this article was reported.
Supplementary Materials
Univariate logistic regression analysis for the presence of carotid atherosclerosis
Selection of study subjects. T2DM, type 2 diabetes mellitus; GFR, glomerular filtration rate; CIMT, carotid intima-media thickness; LDL, low density lipoprotein.
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Supplementary Materials
Univariate logistic regression analysis for the presence of carotid atherosclerosis
Selection of study subjects. T2DM, type 2 diabetes mellitus; GFR, glomerular filtration rate; CIMT, carotid intima-media thickness; LDL, low density lipoprotein.