Journal List > J Lipid Atheroscler > v.5(1) > 1059569

Ryu, Kim, Kim, Kwon, Baek, Song, and Yun: Effects of Small Dense LDL in Diabetic Nephropathy in Females with Type 2 Diabetes Mellitus

Abstract

Objective

This study investigated the association between small-dense low-density lipoprotein (sdLDL) and diabetic nephropathy (DN) in type 2 diabetic patients.

Methods

A total of 172 type 2 diabetic patients (95 men and 77 women) who had not taken lipid-lowering agents were enrolled in this study. Measured LDL cholesterol fractionates into seven parts (LDL1 through 7) according to the size and the extent of charge. Using this system, we analyzed mean LDL particle size and the proportion of sdLDL (the percent of LDL3 through 7 over whole LDL). DN was defined as the albumin-to-creatinine ratio (ACR) ≥30 mg/g after excluding other causes of proteinuria.

Results

The mean LDL cholesterol, LDL cholesterol size, proportion of sdLDL and ACR did not differ significantly between males and females. The presence of DN was negatively correlated with mean LDL size (r=-0.33, p value=0.02) and positively correlated with the proportion of sdLDL (r=0.34, p value=0.01) in females but not in males. After adjusting for other confounding factors related to DN, mean LDL size and proportion of sdLDL remained independent risk factors for DN in females [for mean LDL size, Odds ratio (OR)=0.86, 95% Confidence interval (CI)=0.77-0.96, p=0.01; for proportion of sdLDL, OR=1.07, 95% CI: 1.10-1.12, p=0.01], but not in males.

Conclusion

sdLDL is closely related to DN in female type 2 diabetic patients. Further studies are necessary to clarify the association of sdLDL and DN with gender.

INTRODUCTION

Diabetes is one of the most common chronic diseases in the world, and its prevalence has been increasing continuously.12 According to research sponsored by the International diabetes federation (IDF) in 2013, there were 382 million people with diabetes throughout the world, and this figure is estimated to increase by approximately 592 million by 2035.2 Diabetes is important because it causes several complications. In particular, diabetic nephropathy (DN), one of the microvascular complications of diabetes, is the most common cause of end-stage renal disease, which reduces the quality of life and increases mortality.34
Low-density lipoprotein (LDL) cholesterol consists of a heterogeneous spectrum of particles in terms of size, density, and lipid composition.5 Austin et al.6 classified LDL particles into two distinct phenotypes: large, more buoyant LDL particles and small-dense LDL (sdLDL) particles. Several studies have shown that sdLDL cholesterol levels are associated with the incidence of microvascular complications, such as nephropathy, retinopathy, and neuropathy in diabetic patients.4578910111213 In addition, some studies showed that sdLDL was a significant risk factor for albuminuria in type 2 diabetic patients.45 A previous study that included 40 patients with type 2 diabetes found a significant correlation between sdLDL and albuminuria.4 Another study, conducted with 23 patients with type 2 diabetes, reported that sdLDL is a risk factor for microalbuminuria.5
The mechanism underpinning the association between sdLDL and microvascular complications in diabetic patients has been described previously. First, due to its small size, sdLDL penetrates the intima more easily than large LDL.7 Second, sdLDL was shown to be more susceptible to oxidative modification than large LDL particles. Therefore sdLDL is considered to contribute more to foam cell formation via macrophage scavenger receptors.14 Third, sdLDL generates a structural change in apolipoprotein-B and lower affinity for the LDL receptor, and it decreases hepatic clearance by the LDL receptor.15
Several previous studies conducted with patients with type 1 diabetes mellitus found that increased sdLDL was a risk factor for microvascular complications.111213 However, the relationship between sdLDL and microvascular complications, especially DN in type 2 diabetic patients, remains unclear. Therefore, in this study we assessed the relationship between sdLDL and DN in type 2 diabetic patients.

MATERIALS AND METHODS

1. Subjects

The present study was conducted at Yeouido St. Mary's Hospital in Seoul, Korea from September 2010 to October 2011. Subject inclusion criteria consisted of the following: 1) previous diagnosis of type 2 diabetes according to the diagnostic criteria in the American Diabetes Association (ADA) guidelines,16 with no evidence of type 1 diabetes characterized low c-peptide levels or other secondary causes of diabetes mellitus, such as pancreatitis; 2) aged older than 20 years; and 3) no history of using lipid-lowering agents (fibrates, statin, nicotinic acid or ezetimibe). Patients who had taken corticosteroids, PPAR gamma agonists (pioglitazone, rosiglitazone), doxazosin, or antioxidants within 3 months before screening were excluded. Finally, a total 172 type 2 diabetes mellitus subjects (95 male and 77 female) were consecutively enrolled in this study. The study was approved by the institutional review board of Yeouido St. Mary's Hospital.

2. Measurement and Classification of Variables

Clinical information regarding age, duration of diabetes, alcohol consumption, smoking history and other health-related variables was obtained through a standardized questionnaire. Waist circumference was measured with a measuring tape placed directly on the patient's skin at the top of the iliac crest. Body weight and height were measured with the participant barefoot and wearing light clothing, and the measurements were used to calculate body mass index (BMI) using the following formula: BMI =weight (kg)÷height (m2). Blood pressure was measured using a mercury sphygmomanometer with the participant in a seated position after a 5-min rest.
Venous blood sampling was performed in the morning after a minimum fasting time of 8hr. Hemoglobin A1c (HbA1c) levels were measured using high-performance liquid chromatography with an HLC-723 G7 analyzer (Tosoh Corp., Tokyo, Japan). Fasting plasma glucose concentrations were measured in sodium fluoride tubes using the hexokinase method (Johnson & Johnson LifeScan, Milpitas, CA, USA). Total cholesterol was measured using an enzymatic method (Pureauto S CHO-N kit; Sekisui Medical, Osaka, Japan), as were triglycerides (Pureauto S TG-N kit). High-density lipoprotein (HDL) and LDL cholesterol levels were measured using direct enzymatic methods (Cholestest N HDL kit; Sekisui Chemical, Osaka, Japan). Apolipoprotein A-I and apolipoprotein B levels were determined using immunoturbidometry a Hitachi-7600 analyser (Sekisui Chemical).
Estimated Glomerular Filtration Rate (eGFR), according to Modified Diet in Renal Disease (MDRD), was calculated using the following formula=eGFR (mL/min/1.73m2) : 186×[serum creatinine (mg/dL)-1.154×age (years)-0.203×(0.742 if female)].17 Urine albumin excretion was determined by measuring the urine albumin-to-creatinine ratio (ACR) in spot urine samples. DN was defined as ACR ≥ 30 mg/g after excluding other causes of proteinuria.

3. Low-density lipoprotein subfraction analysis

Mean LDL-cholesterol particle size was measured using polyacrylamide tube gel electrophoresis (Quantimetrix Lipoprint TM; LDL System, Redondo Beach, CA, USA), and dividing it into seven subfractions: LDL 1 and 2 were predominantly large and buoyant LDL cholesterol, defined as large or intermediate LDL; and LDL 3 to 7 were predominantly small and dense LDL cholesterol, defined as sdLDL. Subsequently, we calculated the proportion of sdLDL using the following formula: proportion of sdLDL =(LDL3+LDL4+LDL5+LDL6+LDL7)/(LDL1+LDL2+LDL3+LDL4+LDL5+LDL6+LDL7)*100.

STATISTICAL ANALYSIS

All statistical analyses were performed using SAS version 9.3 (SAS Institute Inc.; Cary, NC, USA). T-tests or chi-square tests were performed to identify differences between males and females in baseline clinical characteristics. Data are presented as means±standard deviation (SD) for continuous variables except for triglyceride, ACR and proportion of sdLDL, which are presented as median (interquartile ranges), and as proportions for categorical variables. Figure 1 shows the results of the t-test for LDL size and wilcoxon signed-rank test for proportions of sdLDL according to the presence of DN in males and females. Spearman's correlation analysis was used to examine the relationships between DN and other clinical factors in males and females. Values were adjusted for age, BMI, and duration of diabetes. In a multivariate logistic regression analysis, odds ratios (OR) and 95% confidence intervals (95% CIs) were used to identify associations between DN and LDL size or proportion of sdLDL. The results are shown both before and after adjusting for age, BMI, duration of diabetes mellitus, systolic blood pressure (SBP), HbA1c, and eGFR. A p value <0.05 was considered to indicate statistical significance.

RESULTS

The baseline clinical characteristics of the study population are shown in Table 1. All subjects were subdivided into two groups according to gender. Males were younger (mean age of men 54±14 years, mean age of women 59±14 years, p value=0.02), smoked more, and consumed more alcohol than females. However, there were no significant differences in lipid profiles, including LDL cholesterol, between males and females. In addition, the mean LDL cholesterol size and proportions of sdLDL and ACR did not significantly differ between the two groups.
Subjects with DN showed no significant differences in LDL size and proportion of sdLDL compared with subjects without DN. (Data not shown). However, there were significant differences in LDL size and proportion of sdLDL according to presence of DN in female group. Figure 1 presents a comparison of the proportions of sdLDL and LDL sizes according to the presence of DN in males and females. Female patients exhibited significantly smaller mean LDL size in DN group as compared with non DN group (266.0±6.4 vs. 262.7±7.2, p value=0.04). Additionally, female patients with DN exhibited significantly larger proportion of sdLDL as compared with non DN group [7.3 (4.5-23.9) vs. 24.4 (6.4-34.5), p value=0.04]. However, no significant relationship between ACR and mean LDL size or proportion of sdLDL was observed in males (for mean LDL size, p value=0.21; for proportion of sdLDL, p value=0.31).
Table 2 shows the relationship between the presence of DN and other clinical factors in males and females using Spearman's correlation analysis. All values were adjusted for age, BMI, and duration of diabetes mellitus. In males, there was a significant relationship between DN and diabetes duration, diastolic blood pressure (DBP), and eGFR. However, DN was not significantly associated with LDL size or the proportion of sdLDL in males. In females, there was a significant negative correlation between DN and LDL size (r=-0.33, p value=0.02), or positive correlation between DN and proportion of sdLDL (r=0.34, p value=0.01).
A multivariate logistic regression analysis was performed to assess the association between presence of DN and mean LDL size or proportion of sdLDL. After adjusting for multiple risk factors for DN, sdLDL remained an independent risk factor for DN in females (for mean LDL size, OR=0.86, 95% CI: 0.77-0.96, p value=0.01; for proportion of sdLDL, OR=1.07, 95% CI: 1.10-1.12, p value=0.01), but no significant relationship was found in males.

DISCUSSION

In the present study, both smaller mean LDL size and larger proportion of sdLDL were closely associated with the prevalence of DN in type 2 diabetic female patients. The presence of DN was negatively correlated with mean LDL size (r=-0.33, p value=0.02) and positively correlated with proportion of sdLDL (r=0.34, p value=0.01) in females but not in males. In addition, multivariate logistic regression analysis showed that mean LDL size and proportion of sdLDL were significant risk factors for DN in females. However, in males, the association between DN and mean LDL size or the proportion of sdLDL was not significant.
Type 2 diabetic patients do not always have higher LDL levels than non-diabetic individuals. However, their sdLDL particles are markedly increased.718 Due to the insulin resistance of type 2 diabetic patients, the release of free fatty acids in the muscle and fat tissue is increased, leading to increased production of very-low-density lipoprotein (VLDL) in the liver. This interference leads to excessive exchange of triglycerides for cholesterol via the cholesteryl ester transfer protein (CETP) action between VLDL and HDL and between VLDL and LDL particles, resulting in the formation of small, relatively cholesterol-poor HDL and LDL particles.718 Additionally, these changes are affected by the specific drug used. Several studies have reported that treatment of diabetic dyslipidemia with statins or fibrates or the use of several diabetic drugs especially thiazolidinedione, can increase LDL particle size.1920 Yoshiho et al.19 demonstrated that treatment of diabeties with acarbose or troglitazone and treatment of hyperlipidemia with statins and fibrates was successful in increasing LDL size. Another study reported that pioglitazone or rosiglitazone can increase LDL particle size,20 confirming why the patients who used those drugs were excluded from our study.
Several previous studies have examined the relationship between sdLDL and macrovascular disease in type 2 diabetic patients.9212223 A previous prospective cohort study showed that an increase in the proportion of sdLDL was associated with an increase in the intima media thickness of type 2 diabetic patients.21 Another study reported that type 2 diabetic patients with coronary artery disease had significantly higher sdLDL levels than healthy controls.22 However, contradictory results regarding the relevance of sdLDL to diabetic microvascular complications have been observed.458102425 Although, similar to our research, the majority of studies have shown that sdLDL is associated with microvascular disease,45810 a few have reported conflicting results.2425 Specifically, with respect to the relationship between sdLDL and DN, Hirano et al.8 demonstrated that the average LDL size was smaller in type 2 diabetic patients with nephropathy than in control subjects or type 2 diabetic patients without nephropathy. Matsui et al.5 also demonstrated that, in type 2 diabetic patients, smaller LDL cholesterol was a risk factor for microalbuminuria. Another study also reported a statistically significant correlation between sdLDL and albuminuria.4 In contrast, one study suggested that the high prevalence of sdLDL in type 2 diabetic patients with nephropathy was not directly associated with kidney damage.24 However, several recent studies reported that sdLDL was a risk factor for microvascular complications in type 2 diabetic patients, which is in agreement with our study results.4510 Additional well-designed, large prospective studies are necessary to clarify the relationship between sdLDL and DN in type 2 diabetic patients.
Unlike previous research, our study showed that results varied according to gender, which may explain the discrepant findings reported in previous studies. Baseline characteristics such as age, duration of disease, blood pressure, HbA1c, mean LDL size, and proportion of sdLDL, did not differ between males and females. Differences in smoking and drinking history were observed between males and females and may be related to gender differences. Although the exact mechanisms have not yet been found, some studies reported that smoking and drinking history may affect the development of DN. Several studies reported that smoking is regarded as a risk factor for DN in type 2 diabetic patients.2627 In addition, some studies showed that high alcohol consumption was significantly associated with albuminuria.2829 In our study, however, there are no significant differences of ACR according to smoking or drinking status in both gender. (Data not shown). Because this study was small sample based, cross-sectional study, it is difficult to define the effect of smoking and alcohol consumption with regard to gender.
Differences in sex hormones may offer a possible explanation for these results. For example, several previous studies303132 reported that estrogen exerted renoprotective effects. However, this advantage no longer exists in a diabetic kidney due to increased expression of the estrogen receptor; however, estrogen replacement therapy can attenuate the progression of DN by compensating for the shortage of estrogen. However, we could not determine the relevance of sex hormones to DN because we did not measure sex hormones and divide the female group into premenopausal and postmenopausal. Additionally, this was not a prospective study, and issues related causation and underlying mechanisms could not be resolved due to the limitations of this approach. Therefore, further larger studies are necessary to confirm the effects of sdLDL in DN according to gender.
The present study had several limitations. First, this study was conducted at a single center and did not have a sufficient sample size. Second, this study was cross-sectional in design. Therefore, we could not address causality and were able to identify only an association between DN and sdLDL. Also, ACR was measured only once at each time point. Most guidelines recommended at least two of three random spot urine collections done in a three to six month period for accurate diagnosis of albuminuria. Scheid et al.33, however, reported that current recommendations for repeated test may not improve diagnostic accuracy. And many other studies3435 also used ACR results based on a single measurement at each time point. Third, clinical data including smoking or alcohol history was obtained through a standardized questionnaire. Thus, the accuracy of the data may have been compromised due to recall bias. Fourth, all study subjects were type 2 diabetic patients, and data from healthy controls and type 2 diabetic patients were not compared.
In conclusion, sdLDL is closely related to DN in female type 2 diabetic patients. Future studies are needed to clarify the association between sdLDL and DN according to gender.

Figures and Tables

Fig. 1
Comparison of LDL size and the proportion of sdLDL according to presence of DN in females and males. A-1) Mean LDL size according to presence of DN in males (p value=0.21), A-2) Mean LDL size according to presence of DN in females (p value=0.04), B-1) Proportion of sdLDL according to presence of DN in males (p value=0.31), B-2) Proportion of sdLDL according to presence of DN in females (p value=0.04), LDL; low-density lipoprotein, sdLDL; small-dense LDL, DN; diabetic nephropathy
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Table 1
Clinical and biochemical characteristics of the study population
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Male (n=95) Female (n=77) p value
Age (yr) 53.5±13.5 58.7±14.2 0.02
Duration of diabetes (yr) 9.9±8.1 10.4±8.7 0.70
Current smoker (yes,%) 75 (79.0) 6 (7.8) <0.01
Alcohol drinking (yes,%) 66 (69.5) 12 (15.4) <0.01
Waist circumference (cm) 91.5±13.7 92.7±12.1 0.59
BMI (kg/m2) 25.3±8.9 24.8±4 0.62
Systolic blood pressure (mmHg) 120±13.9 123.8±14.6 0.08
Diastolic blood pressure (mmHg) 74.6±9.7 75.2±10.8 0.70
HbA1c (%) 9.9±2.2 9.8±2.5 0.80
Fasting glucose (mg/dL) 164.2±65.1 152.8±55 0.23
Apolipoprotein A-1 (g/L) 1.26±0.25 1.34±0.28 0.07
Apolipoprotein B(g/L) 0.96±0.29 0.99±0.26 0.43
Total cholesterol (mmol/L) 4.58±1.33 4.84±2.02 0.33
Triglyceride (mmol/L)* 1.64 (1.37-1.85) 1.52 (1.24-1.85) 0.48
HDL cholesterol (mmol/L) 1.06±0.39 1.15±0.33 0.11
LDL cholesterol (mmol/L) 2.56±0.94 2.63±0.74 0.59
LDL cholesterol size (nm) 262.2±8.3 264.5±6.9 0.06
Proportion of sdLDL-C (%)* 20 (7.6-37) 11.2 (4.9-33.3) 0.09
eGFR (mL/min per 1.73 m2) 81.3±26.6 69.7±24.1 <0.01
ACR (mg/g)* 20 (6.7-86.7) 20.5 (8-186) 0.62

Data are presented as means±standard deviation (SD) for continuous variables and as proportions for categorical variables.

*Median (interquartile ranges)

BMI; body mass index, HbA1c; hemoglobin A1c, HDL; high-density lipoprotein, LDL; low-density lipoprotein, sdLDL; small dense LDL, eGFR; estimated glomerular filtration rate, ACR; albumin-to-creatinine ratio

Table 2
Spearman's correlation coefficients for the relationship between the presence of diabetic nephropathy and other clinical factors in males and females
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Male Female
r p value r p value
Age (yr) 0.02 0.82 0.11 0.34
Duration of diabetes (yr) 0.35 <0.01 0.15 0.21
Waist circumference (cm) -0.18 0.13 0.12 0.38
BMI (kg/m2) 0.02 0.85 -0.23 0.05
Systolic blood pressure (mmHg) 0.18 0.14 0.44 <0.01
Diastolic blood pressure (mmHg) 0.27 0.03 0.22 0.10
HbA1c (%) 0.06 0.62 0.37 0.01
Fasting glucose (mg/dL) 0.19 0.11 -0.11 0.43
Apolipoprotein A-1 (g/L) 0.04 0.73 0.02 0.91
Apolipoprotein B (g/L) 0.14 0.23 0.24 0.07
Total cholesterol (mmol/L) 0.12 0.31 0.12 0.39
Triglyceride (mmol/L)* -0.03 0.82 0.31 0.02
HDL cholesterol (mmol/L) 0.06 0.62 -0.07 0.63
LDL cholesterol (mmol/L) -0.08 0.49 -0.02 0.90
LDL cholesterol size (nm)* -0.04 0.73 -0.33 0.02
Proportion of sdLDL-C (%)* 0.05 0.66 0.34 0.01
eGFR (ml/min per 1.73 m2) -0.37 <0.01 -0.45 <0.01

Values are adjusted for age, BMI, and duration of diabetes.

*Median (interquartile ranges)

BMI; body mass index, HbA1c; hemoglobin A1c, HDL; high-density lipoprotein, LDL; low-density lipoprotein, sdLDL; small dense LDL, eGFR; estimated glomerular filtration rate

Table 3
Association between presence of diabetic nephropathy and mean LDL size or proportion of sdLDL using multivariate logistic regression analysis
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Mean LDL size
Male Female
OR (95% CI) p value OR (95% CI) p value
*Model 1 1.03 (0.98-1.09) 0.42 0.93 (0.87-0.99) <0.01
Model 2 1.02 (0.97-1.08) 0.09 0.88 (0.81-0.96) 0.01
Model 3 1.06 (0.99-1.13) 0.08 0.86 (0.77-0.96) 0.01
Proportion of sdLDL
Male Female
OR (95% CI) p value OR (95% CI) p value
*Model 1 0.99 (0.96-1.01) 0.47 1.03 (1.00-1.06) <0.01
Model 2 0.99 (0.97-1.02) 0.10 1.06 (1.02-1.09) 0.01
Model 3 0.98 (0.95-1.00) 0.09 1.07 (1.102-1.12) 0.01

*Model 1: Non-adjusted

Model 2: Adjustments for age and BMI

Model 3: Model 2 plus adjustments for duration of diabetes, systolic blood pressure, HbA1c and eGFR

LDL; low-density lipoprotein, sdLDL; small dense LDL, OR; odd ratio, Cl; confidence interval, BMI; body mass index, HbA1c; hemoglobin A1c, eGFR; estimated glomerular filtration rate

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