Postprandial Lipoproteins and Cardiovascular Disease Risk in Diabetes Mellitus

Abstract

Diabetes mellitus is associated with increased risk for atherosclerotic cardiovascular disease (CVD). Recent prospective studies in healthy individuals suggest that the postprandial triglyceride (TG) level is a better independent predictor for assessing future CVD events than fasting TG levels. In contrast, results have been more controversial among diabetic patients, as some studies report a positive association between postprandial TG and CVD. This raises the issue of to what extent postprandial TG levels may be of predictive value in the diabetic population. One possibility impacting on the predictive power of postprandial TG in identifying CVD risk may be the presence of other risk factors, including alterations in lipid and lipoprotein metabolism, which could make it more difficult to identify the impact of postprandial lipemia on cardiovascular risk. The findings provide a challenge to develop a better approach to assess the impact of postprandial lipemia on CVD risk under diabetic conditions.

Introduction

The prevalence of type 2 diabetes mellitus (DM) has grown rapidly in Westernized and developing countries, making it one of the most common diseases in the world. The number of adults with DM worldwide is estimated to increase from 135 million in 1995 to 300 million in 2025 [1]. This has a significant negative health care potential, as DM is associated with a twofold to fourfold increased risk for development of atherosclerotic cardiovascular disease (CVD) [1], particularly coronary artery disease (CAD), and a threefold to eightfold greater risk for mortality from CVD. The high risk for CVD is underscored by the similar risks for a future CVD event in individuals with DM without a history of a prior myocardial infarction (MI), and in individuals without DM with a previous MI [2]. Moreover, more than 50% of all deaths among men or women with DM are attributable to CVD complications. These facts generally have been attributed to a high burden of risk factors such as hypertension, obesity, smoking, hyperglycemia, and dyslipidemia, many of which are associated with insulin resistance, resulting in a high cardiovascular risk phenotype among individuals with DM [3]. Among these risk factors, diabetic dyslipidemia is characterized by elevated levels of fasting triglyceride (TG); decreased levels of high-density lipoprotein (HDL) cholesterol; and presence of small, dense, low-density lipoprotein (LDL) cholesterol particles. It is noteworthy that TG and HDL cholesterol are powerful predictors of the postprandial response. In keeping with this, previous studies have shown an increased postprandial dyslipidemia in patients with DM regardless of elevated fasting TG concentrations [4, 5]. However, the potential role of postprandial conditions in the development of atherosclerosis is not well established in the diabetic population. Particularly, whereas recent studies have provided evidence for an association of elevated postprandial TG with an increased CVD risk in the general population, this issue has not been investigated to the same extent in the diabetic population.

Postprandial Assessment: Methodological Aspects

Accumulating evidence suggests that elevated levels of fasting and postprandial TG predict higher CVD risk [6, 7, 8•, 9•]. The postprandial state is characterized by a rapid rise in triglyceride-rich lipoproteins (TRLs) derived from the intestine as chylomicrons, containing apolipoprotein (apo) B-48, and from the liver as very low density lipoprotein (VLDL), containing apo B-100. Although a close relationship exists between fasting and postprandial TG levels, intraindividual differences in TG levels between fasting and postprandial conditions vary substantially, partly due to differences in insulin sensitivity [10]. Although most studies of cardiovascular risk to date have focused on fasting conditions, recent studies have demonstrated that the postprandial TG level was a better independent predictor than the fasting TG level for assessing present and future CVD events in the nondiabetic population [11••]. Furthermore, increasing postprandial TG levels are more strongly and directly related to remnant lipoprotein concentrations than fasting TG levels [12••, 13]. This raises the possibility that risk for cardiovascular events may also be due to an increase in remnant lipoproteins in the postprandial state. The importance of postprandial TG in the prediction of CVD derives from the fact that in humans, most of the day is spent in this state. Studies that have monitored TG responses overnight following a fat-containing evening meal have shown values to be elevated for 7–8 h after the meal, only falling toward fasting values between 4 AM and 6 AM [14].

Determination of the postprandial response itself is complex and goes beyond TG levels. Therefore, it has been challenging to assess the CVD risks associated with the postprandial state. Researchers have used several tools to investigate the postprandial lipemic responses, including responses to a metabolic challenge (fat tolerance or oral fat-loading test) or a normal food intake, as well as use of self-determined diurnal capillary TG measurement [9•, 12••, 15, 16]. Typically, the oral fat load includes the administration of a test meal or drink with a high fat content (eg, 1 g/fat per kilogram of body weight) after an overnight fast. The increase in postprandial TG levels depends on the amount of dietary fat in the test meal; a very low (5 g) or low (<15 g) dose of dietary fat generally does not increase postprandial TG; moderate doses (30–50 g) dose dependently increase postprandial TG, whereas very high doses (>80 g) result in an exaggerated postprandial TG response [17–20]. In addition, the extent of postprandial lipemia is influenced by other dietary components, such as the content of protein [21•], fatty acid, glucose, or alcohol [22–24]. However, although metabolic ward testing (oral fat-loading test) may provide useful mechanistic information, it may not reflect regular, free-living daytime conditions. Interestingly, a relatively novel approach captures a daylong TG profile through serial capillary measurements [25, 26]. In one study, participants were provided with a TG analyzer (TG-specific point-of-care testing device) to determine their own daytime TG profile at several time points on three different weekdays [26]. Thus, the daytime TG profile may have the potential to provide information regarding real-life TG changes and can be easily applied in clinical practice for routine screening of populations, reflecting in-hospital and out-of-hospital situations. Diurnal TG profiles have been associated with insulin sensitivity, fat mass, and diet [26]. Furthermore, the daytime TG profiles were closely related to postprandial lipemia as assessed by an oral fat-loading test [27]. In a recent study, van Oostrom et al. [28•] compared different methods of investigating postprandial lipemia in 20 male participants with reduced insulin sensitivity and premature CAD. In their study, the TG load (daytime capillary TG measurement profile) test was more strongly associated with the parameters of postprandial lipemia than a more traditional oral fat-loading test.

Postprandial Lipoproteins and CVD Risks in Nondiabetic Populations

The associations of postprandial TG in response to normal food intake and cardiovascular events were the focus of several recent, large, prospective cohort studies. The Copenhagen City Heart Study [12••] investigated the role of postprandial TG in a nondiabetic population made up of 7587 women and 6394 men (20–93 years of age) observed over 26 years. After a fat tolerance test, plasma TG levels reached a mean peak level of 2.3 mmol/L, whereas the mean peak level at 4 h after a normal food intake was 1.6 mmol/L. After adjusting for other cardiovascular risk factors (eg, age, total cholesterol, body mass index, hypertension, diabetes, smoking, alcohol consumption, physical inactivity, lipid-lowering therapy, and postmenopausal status and hormone therapy in women), elevated postprandial TG levels were associated with increased risk of MI, ischemic heart disease, death [12••], and ischemic stroke in men and women [9•]. Another study by the same group of investigators confirmed these findings [8•]. Interestingly, the authors detected only minimal changes in the levels of lipids, lipoproteins, and apolipoproteins in response to normal food intake in the general population, which raises the issue of what might convey the increased postprandial CVD risk. Another large prospective study (the Women’s Health Study) made up of 26,509 healthy US women older than 45 years of age (20,118 fasting; 6391 nonfasting participants) with 11.4 years of follow-up studied the association of fasting and postprandial TG levels and risk of future cardiovascular events [11••]. The authors found that higher postprandial TG levels were strongly associated with an increased risk of future events, independent of other risk factors (including HDL cholesterol and markers of insulin resistance). The hazard ratios for increasing tertiles of postprandial TG levels were as follows: 1.0 (reference), 1.44 (95% CI, 0.90–2.29), and 1.98 (95% CI, 1.21–3.25; P=0.006 for trend). Associations were strongest among individuals who had blood drawn 2– 4 h after a normal meal. Compared with the Copenhagen City Heart Study [12••], TG levels and event rate seemed to be considerably lower in the healthy US women. A recent study based on the Women’s Health Study demonstrated that besides the TG level, postprandial HDL cholesterol, total/HDL cholesterol ratio, and apoA-1 levels predicted CVD [29••]. In contrast, postprandial total, LDL, and non-HDL cholesterol, in addition to apo B-100 levels and apo B-100/A-1 ratio, provided less useful CVD risk information [29••]. A significant association has been found between postprandial apo B-48 levels and the progression of CAD [30], and high levels of intestinally derived lipoproteins are associated with increased cardiovascular risk [31, 32]. Although the exact mechanisms remain to be established, previous studies have demonstrated that chylomicron remnants can enter the subendothelial space of the vascular wall with the potential to induce or participate in the development of atherosclerotic lesions [33, 34].

Postprandial Lipoproteins in Type 2 Diabetes Mellitus

Insulin resistance and DM are associated with multiple plasma lipid and lipoprotein abnormalities, including exaggerated postprandial lipemia, as well as increased CVD risk [35, 36]. Under normal, nondiabetic conditions, the postprandial plasma concentration of insulin is high, resulting in reduced endogenous VLDL production and reduced lipolysis from adipose tissue. However, in DM, the presence of insulin resistance leads to an increased capacity for VLDL-TG secretion and an increased residence time of TRL (Fig. 1). Insulin inhibits the production of large, buoyant VLDL1 particles (Svedberg’s flotation unit, 60–400), and overproduction of these particles has been reported in patients with DM in the postprandial state [37, 38]. In patients with DM, there is further increased production of apo B and reduced lipoprotein lipase activity, both of which can potentially promote a more pronounced postprandial response [39]. In addition, remnant lipoproteins, which are more likely to accumulate during conditions of partially reduced lipolysis, may be subject to reduced clearance through heparin sulfate proteoglycans under these conditions [40]. An increased postprandial residence time of TRL provides opportunities for lipid exchange of TG for cholesteryl esters between VLDL and LDL, mediated by cholesteryl ester transfer protein and resulting in TG enrichment of LDL particles and elevated formation of small, dense LDL [37]. In addition, there is an increased likelihood of changes in the HDL subfraction pattern in diabetes, with a reduction in the larger HDL 2b and an increase in the smaller HDL 3b and 3c particles [36].

Fig. 1.

Postprandial lipoprotein metabolism in diabetes. Insulin resistance plays a central role in the development of diabetic dyslipidemia. Under normal physiologic conditions, insulin suppresses lipolysis from adipose tissue and hepatic very low density lipoprotein (VLDL) production. However, hyperinsulinemia in the postprandial state and insulin resistance in type 2 diabetes initiates a dyslipidemic triad of high triglyceride, low high-density lipoprotein (HDL) cholesterol and high small, dense low-density lipoprotein (LDL) levels. Prolonged residence of triglyceride-rich lipoproteins (TRLs) in the circulation promotes the transfer of HDL or LDL cholesteryl esters for triglyceride, mediated by cholesteryl ester transfer protein (CETP). LDL can undergo hydrolysis by hepatic lipase (HL) or lipoprotein lipase (LPL), which hydrolyzes triglycerides from the core of LDL, resulting in production of smaller, denser particles. Moreover, triglyceride-enriched HDL particles become smaller, denser (HDL 3b and 3c) and are more rapidly catabolized, contributing to low plasma HDL in insulin resistance and type 2 diabetes. apo apolipoprotein; CM chylomicron; FFA free fatty acid; RLP remnant lipoprotein

Postprandial Lipoproteins and CVD Risks in Diabetic Populations

Contrary to the situation observed in the general population, only a few studies have examined the association between postprandial lipemia and CVD risk in diabetes, and the results have been inconclusive. The differential characteristics of study designs and participants in some studies are summarized in Table 1. Syvanne et al. [5] investigated 30 male participants with and 30 without CAD undergoing a fat-loading test (760 kcal, 78 g fat=92.0 energy percentage [E%]); 50% of participants in each group had diabetes. In this study, postprandial TG levels were increased in both diabetic patient groups, with the most marked differences in the large VLDL₁ fraction compared with control participants. TG levels in the two diabetic groups reached their peak levels (~4 mmol/L) 4–6 h after the test meal. However, the authors did not find any association between postprandial TG and CAD events. A subsequent study from the same group of investigators, in which 43 (31 male, 12 female) participants with diabetes were studied, confirmed the initial overall finding [32]. No marked differences were found in the metabolism of intestinally or hepatically derived TRLs in patients with mild CAD (<50% stenosis) compared with those with severe CAD (>50% stenosis) after an oral fat load of a fat-rich liquid formula (~ 50 g fat/m² body surface). However, the authors observed greater postprandial excursions of apo B-48 and apo B-100 in intermediate-density lipoproteins in the participants with more severe CAD. Of note, there was a gender imbalance between the two groups, with more women in the mild coronary heart disease group compared with the severe coronary heart disease group (50% vs 15%).

Table 1.

Differential characteristics of study design and participants in the studies examining the association between postprandial lipemia and CVD risks among the diabetic population

Study	Syvanne et al. [5]a		Mero et al. [32]		Teno et al. [41]			Carstensen et al. [42]		Reyes-Soffer et al. [43••]
Study design (criteria)	Cross-sectional (coronary angiography)		Cross-sectional (coronary angiography)		Cross-sectional (carotid ultrasonography, IMT)			Cross-sectional (medical history, ECG, enzyme activities)		Cross-sectional (MI history, > 75% stenosis, CABG, PTCA/ stent)
Meal type/form	Fat load/liquid		Fat load/liquid		Standard test/mixed			Fat load/mixed		Fat load/liquid
Calorie/E% of fat	760kcal/78g=92 E %		~ 50g fat/m2 surface		9kcal/kg/20 E%			1027kcal/86.6g=77 E%		1.237kcal/2m2, 75 E%
PP response time, h	2, 3, 4, 6, 9, 12, and 24		4, 6, and 8		4			1, 2, 3, 4, 5, 6, 7, and 8		3, 5, 7, and 10
Groups	Case (CAD+)	Control (CAD−)	Severe CAD (> 50%)	Mild CAD (< 50%)	Normal/ normalb	Normal/ hyperc	Hyper/ hyperd	Case (MI+)	Control (MI−)	Case (CAD+)	Control (CAD−)
Number (% female)	15 (0)	15 (0)	27 (15)	16 (50)	31 (71)	11 (64)	18 (56)	17 (0)	15 (0)	84 (31)	80 (50)
Age, y	54±2	54±2	58±1	57±1	52±6	55±9	55±8	65±8	63±9	61±7	61±9
Duration of DM, y	8±2	6±2	7±1	11±2	8±5	5±3	8±7	5±4	4±3	8±7	9±7
HbA1c%	7.2±0.4	6.9±0.3	7.4±0.2	8.4±0.3	7.5±1.4	7.1±0.7	7.2±1.3	7.6±0.0	7.5±0.0	10.4±2.9	9.8±2.2
Fasting TG, mmol/L	1.9±0.1	2.2±0.2	2.7±0.2	2.2±0.2	1.2±0.5	1.4±0.2	3.0±1.2	2.4±1.1	1.8±1.3	1.7	1.6
Peak PPTG, mmol/L	4.1	3.9	4.3±0.4e	3.7±0.3e	1.3±0.5	3.0±0.5	4.4 ± 2.7	4.6±3.1	2.8±1.8	4.6	4.3
Peak hour	4	6	4		4			6		5
Association with CVD risk?	No		No		Yes			Yes		No

^aTotal of 4 study groups, but only 2 with diabetes.

^bNormal fasting (<1.7 mmol/L) and normal PPTG (<2.27 mmol/L).

^cNormal fasting (<1.7 mmol/L) and hyper PPTG (>2.27 mmol/L).

^dHyper fasting (>1.7 mmol/L) and hyper PPTG (>2.27 mmol/L).

^eThe end-point PPTG values at 8 h were shown due to lack of information on peak level.

CABG coronary artery bypass graft; CAD coronary artery disease; CVD cardiovascular disease; DM diabetes mellitus; E% energy percentage; ECG electrocardiogram; HbA_1c hemoglobin A_1c; IMT intima-media thickness; MI myocardial infarction; PP postprandial; PPTG postprandial triglyceride; PTCA percutaneous transluminal coronary angioplasty; TG triglyceride.

In contrast, a study by Teno et al. [41] conducted among 61 (40 male, 21 female) patients with DM found an association between elevated levels of postprandial TG and increased carotid intima-media thickness (IMT) as assessed by ultrasonography. None of the study participants had clinical evidence of CVD or ischemic heart disease, and postprandial lipid levels were measured 4 h after a standard test meal that resembled a commonly consumed diet (9 kcal/kg; 20.0E% fat). Notably, patients with normal fasting TG who developed postprandial hypertriglyceridemia had significantly greater carotid IMT than patients who remained normotriglyceridemic during the postprandial state. Postprandial plasma glucose, postprandial TG, and fasting LDL cholesterol levels were all independently correlated with carotid IMT; however, postprandial TG level showed the strongest correlation with the extent of carotid IMT (P=0.002). The findings of this study suggest that the role of postprandial hypertriglyceridemia in predicting CVD risks in the diabetic population may be more important in the early stages of atherosclerosis development.

Furthermore, a later study by Carstensen et al. [42] demonstrated that diabetic male patients with MI (n=17) had a higher response of plasma TG and retinyl palmitate—used as a marker of intestinal remnant lipoproteins—compared with diabetic male patients without MI (n=15). Postprandial TG levels at 6 (4.6 vs 2.8 mmol/L; P=0.04) and 8 h (3.6 vs 2.4 mmol/L; P=0.03), as well as the incremental area under the curve for the postprandial period (560 vs 297 mmol×480 min/L; P=0.048) after a fat-loading test (1027 kcal, 86.6 g fat=77.0 E%) were increased in patients with MI compared with those in patients without MI. The authors suggested that the contradictory outcomes of their study and those by Syvanne et al. [5] and Mero et al. [32] may be due to differences in 1) study populations, 2) severity of CAD, 3) diets and meal testing, 4) medications, and 5) degree of matching of the control and case groups. The participants in the study by Carstensen et al. [42] were almost a decade older, had higher body mass index, and may have had more severe CAD (as they had verified MI). They were also fed a high-carbohydrate diet for 3 days before the fat-loading test to achieve minimal day-to-day variation in insulin sensitivity. In addition, there were differences in the treatment regimen, as 80% of diabetic patients with CAD consumed β blockers, and several patients without CAD received metformin in the study by Syvanne et al. [5]. In the study by Carstensen et al. [42], the β-blocker treatment rate was 41%, and metformin treatment was an exclusion criterion. A total of 50% of those in the mild CAD group in the study by Mero et al. [32] received insulin, compared with 22% of the severe CAD group, whereas insulin therapy was an exclusion criterion in the study by Carstensen et al. [42]. In the Mero et al. [32] study, the glycemic control in the mild CAD group was significantly worse than that of the severe CAD group (P=0.007); the duration of the diabetes was longer in the mild CAD group (P=0.04); and the mild CAD group had a skewed gender distribution, with 50% female compared with nearly all male patients in the severe CAD group (P=0.013), all of which may impact the findings.

As previous studies have yielded inconsistent findings regarding the association between postprandial TG and CAD severity among diabetic populations, Reyes-Soffer et al. [43••] recently tested the hypothesis that more subtle differences (eg, size and number of TRLs) may be a better discriminator for case-control status under diabetic conditions. They conducted a cross-sectional, case-control study with 8.7 years of follow-up in diabetic individuals (84 with, 80 without CAD). It was hypothesized that diabetic patients with and without CAD would have similar postprandial TG levels, but patients with CAD would have a greater number of small postprandial lipoprotein particles (in the density range of d<1.006 [a mixture of chylomicrons, chylomicron remnants, and VLDL]). However, no significant association between the presence of CAD and any measures of postprandial lipoproteins (postprandial TG, d<1.006 TG, postprandial apo B-48, total apo B, d<1.006 particle number and size distributions, or remnant lipoprotein levels) after a high fat-loading test using a high-fat liquid formula (1.237 kcal/2 m² body surface, 75.0 E% fat) was noted. Gender-specific analysis revealed no case-control difference. Notably, there were no significant differences in postprandial lipoproteins at baseline between individuals without CAD at baseline who did not develop (n=33) or who subsequently developed CAD (n=36) and the original CAD group patients. A significant difference between the study by Carstensen et al. [42] and that by Reyes-Soffer et al. [43••] was a difference in the fasting TG level between cases and control participants. TG levels were 30% higher in cases than control participants (2.35 vs 1.80 mmol/L) in the former study, whereas levels were similar in cases and control participants (1.63 vs 1.68 mmol/L) in the latter study. Because fasting TG is a major determinant of postprandial TG levels [44], the differences in the fasting TG levels between cases and control participants in the study by Carstensen et al. [42] may have contributed to the observed differences in the postprandial TG excursions. Another difference was the longer duration of diabetes and higher hemoglobin A_1c (HbA_1c) levels, indicating worse glycemic control in the latter study. However, although HbA_1c levels were considerably lower in the three previous postprandial studies in diabetic patients [5, 32, 42], two of them [5, 32] found essentially the same results as the study by Reyes-Soffer et al. [43••]. This suggested that a difference in HbA_1c levels might not impact substantially on any association between postprandial TG and case-control status.

Elevated LDL levels are associated with increased CVD risk, and small, dense LDL particles, relatively more common in diabetes, have a high susceptibility to oxidation. Oxidative modification of LDL results in rapid uptake by macrophages, which leads to foam cell formation and promotion of the expression of intercellular adhesion molecule-1 [45]. Furthermore, LDL oxidation in the postprandial state seems to be affected by an acute increase in glycemia. Apo B in LDL can be modified by advanced glycosylation end products, reducing the binding affinity of the LDL-modified particles to their hepatic receptors and subsequently leading to increased oxidation of these particles [46]. In addition, glycated and oxidized LDL particles induce the release of foam cell cytokines (tumor necrosis factor-α, interleukin-1), which play important roles in the atherosclerotic process [47, 48]. Thus, oxidative modification of LDL may contribute to higher CVD risk among diabetic patients, and elevated levels of TG may contribute to the rapid LDL oxidation seen in DM.

Tentolouris et al. [49] demonstrated that normotriglyceridemic diabetic patients with microalbuminuria had threefold increased postprandial TG levels compared with diabetic patients without microalbuminuria after ingestion of a standard mixed test meal (783 kcal, 52.5 E% fat). Microalbuminuria is an established independent risk factor for CVD in patients with DM, and its association with excessive postprandial lipemia may partially explain the increased CVD risk in this group of patients. Postprandial TG increase in DM patients with diabetic nephropathy was markedly higher than it was in those without diabetic nephropathy [50], and the fasting apo B-48 level was elevated in individuals with advanced diabetic nephropathy [51]. A later study by the same group of investigators showed that apo B-48 after a standard test meal (460 kcal, 18.0 g fat=35.0 E%) was significantly higher in patients with diabetic nephropathy than in control participants and was significantly associated with an increase in small, dense LDL particles [52].

Conclusions

Overall, unlike the situation in the nondiabetic population, in which measurement of postprandial TG levels has been useful in identifying individuals at high risk for the presence of CVD and future CVD events, specifically testing for postprandial TG level has to date shown considerably less promise in patients with DM. One possibility is that the predictive power of measuring postprandial TG to identify CVD risk is diminished in diabetes due to an already altered lipid and lipoprotein metabolism. Furthermore, once diabetes develops, patients are exposed to a wide variety of other risk factors that place them at increased risk for developing CVD. In the United Kingdom Prospective Diabetes Study, fasting TG level was associated with CAD after adjusting for age and sex but was not an independent risk factor when other variables were included in the model [53]. Thus, the high level of CVD risks in patients with DM exposed to a high cardiovascular risk phenotype may make it more difficult to identify any independent contribution of individual risk factors. For example, obesity, decreased physical activity, and raised insulin concentrations provide an increased risk for CVD in the general population but have not been associated with risk in patients with DM [53]. These variables are also risk factors for diabetes, but once diabetes has developed, increased levels of LDL cholesterol, decreased levels of HDL cholesterol, presence of hypertension, microalbuminuria, and hyperglycemia are likely greater risk factors for CVD. To put this in simple terms, the risk contributed by postprandial lipemia may drown in the sea of risk factors in patients with DM. However, these findings do not suggest an absence of any association between postprandial lipemia and CVD risk in diabetic populations. Instead, the mixed message in the studies to date provides a challenge to develop more precise approaches or tools that could allow us to assess the association of postprandial TG levels and CVD risks in more detail. At present, further studies are needed to establish the clinical usefulness of measuring postprandial TG in individuals with DM as a tool to assess a high risk for CVD.