Impact of menopause and diabetes on atherogenic lipid profile: is it worth to analyse lipoprotein subfractions to assess cardiovascular risk in women?

CAD and stroke have been the leading causes of death in both sexes accounting for 25.1% of the total mortality [33]. Even in the younger women, high mortality rates following myocardial infarction (MI) have been reported [34]. In recent years, improvements in hospital treatment [4] have contributed to a 30% decrease in the number of women dying from cardiovascular events in USA [35] although these still cause more deaths than all other causes combined. Estimates of cardiovascular risk and clinical trials are commonly based on unbalanced samples and selection bias has limited gender comparisons of outcomes. Female sex is notably under-represented in clinical trials which frequently have a predominance of the men [36]. Also, there is evidence that women are undertreated and have cardiovascular risk factors less controlled compared to men [37], specially the diabetic population [38].

Apart from methodological concerns, atherogenesis per se could affect men and women distinctly. It is known that atherosclerosis involves inflammatory and thrombotic processes. In premenopausal women, smaller lipid cores, less calcium, and fewer thin-capped atheromas were described, and estrogen-related anti-inflammatory effects on atherosclerotic plaques seem to contribute to their stabilization [39]. The plaque in women is shown to have less inflammatory components than in men which can implicate in slower development of vulnerable plaques. Young women with acute coronary syndromes often present plaque erosion, while men and older women frequently show the classical pattern of ruptured plaque followed by thrombosis [39]. In carotid arteries, lower atheroma burden and more stable plaques were described in women. Despite the ability of estrogen to stabilize the atheroma, prothrombotic effects of this hormone were reported. The reasons for sex-related differences in the development and progression of atherosclerosis are not completely understood [39‐42].

Several scores have been proposed for cardiovascular risk assessment and the Framingham risk score is one of the mostly used [43‐46]. It has been recognized that the Framingham risk score underestimates risk in women since those with subclinical atherosclerosis are often classified as at low risk [47]. In an update of this score, it was proposed that women should be classified as ‘‘high risk’’, ‘‘at risk’’ and ‘‘at ideal cardiovascular health’’. High-risk was defined by clinical evidence of CAD, peripheral artery disease and abdominal aortic aneurysm, or the presence of coronary risk equivalents, such as chronic kidney disease and DM, together with a 10-year predicted cardiovascular risk of ≥10%. At-risk women are those with at least one major risk factor [cigarette smoking, hypertension, dyslipidemia, obesity, poor diet, physical inactivity, family history of premature CVD, metabolic syndrome, evidence of advanced subclinical atherosclerosis (coronary calcification, carotid plaque, or increased carotid intima-media thickness), poor exercise capacity on treadmill test and/or abnormal heart rate recovery after stopping exercise, systemic autoimmune collagen-vascular disease (lupus or rheumatoid arthritis), history of preeclampsia, gestational diabetes, or pregnancy-induced hypertension]. “Ideal cardiovascular health” was defined by adequate total cholesterol and blood pressure levels, fasting plasma glucose and body mass index, with heart-healthy behaviours including healthy diet, smoking abstinence and regular physical activity [47, 48].

CVD incidence in premenopausal women is significantly lower than men at the same age (1 woman: 3–10 men), but increases to an extent that the rate becomes similar at the age 65 years and higher by the age 75 years [49]. Among the epidemiological studies that examined cardiovascular risk in women, the Nurses’ Health Study included one of the biggest sample [50]. This reported that 82% of coronary events could be attributed to the absence of a low-risk lifestyle. The INTERHEART study [6] revealed that nine risk factors accounted for 94% of the population attributable risk, including smoking, dyslipidemia, hypertension, DM, abdominal obesity, physical inactivity, low daily fruit and vegetable consumption, alcohol overconsumption, and a low psychosocial index (depression, locus of control, perceived stress, and life events). These are shown to be important risk factors for the development of CVD in both sexes.

In clinical settings, health care professionals commonly underestimate cardiovascular risk in women who are not as properly treated for CVD as men [47, 51]. Comparing sexes after MI, in every age, women are more likely to have a history of hypertension; however, concerning other risk factors, sex differences exist only before the age of 55, when women were more likely to have medical insurance, history of DM, heart failure or stroke, and higher Killip class on hospital admission [4]. Clinical symptoms of CAD also differ between sexes; men express classical symptoms such as angina, with pressure or squeezing to the chest, which can extend to the arms. Meanwhile, women tend to feel sharp, burning chest pain that can extend to neck, jaw, throat, abdomen or back and more frequently have atypical symptoms [52].

Sex differences could be raised concerning the efficacy of lipid lowering treatment. Statins have long been associated with reductions in total cholesterol, LDL-c as well as some increase in HDL-c concentration. Several meta-analyses reported significant reductions in cardiovascular outcomes with statins use for each 1 mmol/L decrease in plasma LDL-c [8, 9]. Accumulated evidence has consistently shown that statins are equally effective in both sexes in the control of dyslipidemia and reduction of cardiovascular morbidity and mortality [53, 54].

The deleterious impact of DM in cardiovascular morbidity and mortality is greater in women compared to men. In 2011, DM was responsible for 281,000 deaths in men and 317,000 in women, the majority from cardiovascular causes [55]. Despite being a strong risk factor for both sexes, a greater impact in mortality from CAD is seen in women than in men [56]. Its presence almost eliminated the sex-related difference in cardiovascular morbidity and mortality, approximating the risk level of the diabetic woman to the non-diabetic men [57]. Therefore, the diabetic woman needs special attention and optimized treatment of comorbidities to control risk factors and to decrease excessive cardiovascular mortality.

CVD is a major issue for women’s health most predominantly at older age, although the younger women have a higher chance of fatality following coronary events. Despite lower absolute incidence compared to men, high mortality rates indicate the need to improve risk prediction, early diagnosis and adequate treatment of risk factors and comorbidities to enhance women quality of life and survival. The increased mortality rates conferred by presence of DM are more prominent in the female sex. A careful analysis of these disparities between sexes is necessary.

Routinely, lipoproteins have been determined according to their molecular density (VLDL, LDL, and HDL) to assess cardiovascular risk. They have been classified by their size, charge, function, lipid core and apolipoprotein composition, and the resulting subgroups are called lipoprotein subfractions [58, 59].

A considerable proportion of individuals that suffer from cardiovascular events shows either few or none of the traditional risk factors [58, 60]. The assessment of lipoprotein subfractions and apolipoproteins (apo) represents a way to improve the cardiovascular risk prediction; in addition, they may enhance the accuracy of atherosclerosis detection, assist in treatment selection, and be useful for counselling first-degree relatives of patients with atherosclerosis [61].

Numerous methods for lipoprotein subfractions determination have been described, mostly for research purposes [61], such as analytic ultracentrifugation, vertical auto profile-II (VAP-II), density gradient ultracentrifugation, gradient gel electrophoresis, nuclear magnetic resonance (NMR) spectroscopy, immunoaffinity chromatography, 2-dimensional gel electrophoresis and ion-mobility analysis (Table 1). Heterogeneous techniques and nomenclature of lipoprotein subfractions limit data interpretation and study comparisons [59].

Analytic ultracentrifugation has been considered the gold standard of lipoprotein subclass analyses due to its precision and reproducibility, and used for validation of other techniques, but it is unfeasible for clinical practice [61]. This method is based on the lipoprotein ability to float when exposed to high gravitational forces. According to flotation rates, four LDL subfractions are grouped whose densities range from 1.025 to 1.060 g/mL [62].

The VAP-II uses a non-segmented continuous flow analyser for the enzymatic analysis of cholesterol in lipoprotein classes, allowing a profile analysis with only 40 µL of plasma [63, 64]. Five subclasses for HDL, four for Lp(a), four for LDL, two for IDL and three for VLDL can be identified. The absorbance curve provides the density distribution of lipoprotein classes and subclasses in the centrifuge tube [65]. The procedures are simple and sensitivity for the lipoprotein density classification is high. However, some studies have shown low correlation of VAP with NMR and electrophoresis [66].

The gradient gel electrophoresis determines LDL and HDL size distribution directly from blood samples. According to major peaks size and percent distribution, seven LDL subclasses, from larger buoyant LDL₁, LDL_2a and LDL_2b to the smaller and less dense LDL_3a, LDL_3b, LDL_4a and LDL_4b can be detected [61]. Also, five HDL subclasses, ranging from small dense HDL_3c, HDL_3b, and HDL_3a to larger HDL_2a and HDL_2b, can be determined. This method does not provide concentrations but the size of predominant species or average size [67]. The two-dimensional gel electrophoresis improved the ability of the gradient gel electrophoresis in recognizing new HDL subfractions: α1, α2, and α3, with sizes of 11.2, 9.51, and 7.12 nm, respectively [68]. Its use has been limited to specialized labs [61].

Lipoproteins subfractions determination can also be based on size and charge using linear polyacrylamide gel. The technique is simple and fast but expensive [69, 70].

NMR spectroscopy allows quantification of lipoprotein subfractions given that each lipoprotein particle in plasma has its own characteristic lipid methyl signal. NMR uses a library of lipoprotein spectra reference in a linear least-square fitting computer program [71]. From the shape of the composite plasma methyl signal, the program computes the subclass signal amplitudes. Particle sizes derive from the sum of the diameter of each subclass multiplied by its relative mass percentage [59, 61]. There is no need to physically separate the subfractions, which is a major advantage of the method. Lipoprotein subfractions identified are [71]:

Immunoaffinity chromatography and the ion-mobility have been used for research purposes. The former is able to isolate two HDL subfractions through their content of apolipoprotein A-I and apolipoprotein A-II [61], while the latter determines concentrations of lipoprotein subfractions based on gas-phase differential electric mobility [59, 72].

The availability of several techniques and different parameters to express lipoprotein subfractions (concentrations, percent distribution of the HDL subclasses relative to the total or by average particle diameter) should explain part of the contrasting results on their association with CVD. The most consistent finding is the association of gradient gel electrophoresis-determined HDL subfractions [73]. The amount of large HDL identified by NMR has been correlated with the gradient gel electrophoresis HDL_2b results, but other NMR HDL components have shown weaker correlations [73].

Regarding LDL phenotype, substantial agreements among gradient gel electrophoresis, VAP, NMR, and ion-mobility have been described [74]. Using any of these four methods, association of small, dense LDL with coronary atherosclerosis progression was demonstrated [75]. Furthermore, gradient gel electrophoresis, NMR and ion-mobility confirmed that the associations were independent of standard lipid measurements. A recent study on the comparison of ultracentrifugation, a novel electrophoretic method and two independent methods of NMR indicated ultracentrifugation as the most precise method for LDL particle determination with the lowest coefficient of variation. The electrophoresis showed a close precision, whereas NMR showed the highest coefficient of variation [76].

Meanwhile, lipoproteins are heterogeneous even within each subclass and differ not only in size, charge and density, but also in their lipid and protein composition. Lipidomics and proteomics use mass spectrometry to identify and quantify lipid and protein content in a cell, tissue or organ, respectively [77‐79]. These methods involve the use of complex technology in several research settings and may even help determine typical and abnormal lipoprotein composition [80, 81]. Changes in key components of lipoproteins under unusual circumstances, such as chronic inflammation and subclinical atherosclerosis, cause their remodelling, affect their functionality and contribute to the atherosclerotic process [82‐84].

Evidence that certain lipoprotein subfractions enhance atherogenesis and increase cardiovascular risk emphasizes the importance of their determinations to improve the identification of those at higher risk [85, 86]. Determination methods differ by their basic principles, technology, complexity and accuracy. Such diversity limits to compare results and to assure the real contribution for the improvement in cardiovascular risk prediction.

Also, apolipoprotein determination has shown to improve cardiovascular risk assessment. Apo B100 concentration reflects the atherogenic lipoproteins (VLDL, IDL and LDL), while apo A-I has been considered a HDL surrogate. Apo B-to-apo A-I ratio provides a balance between the atherogenic and anti-atherogenic cholesterol particles and its usefulness as a predictor of cardiovascular events was demonstrated [87‐89]. Lower apo B-to-apo A-I ratio was reported in premenopausal compared to postmenopausal women and men [90]. Lipoprotein (a) has a similar structure to LDL, containing one apo-B molecule combined with an apo (a), known to diminish plasminogen activation and fibrin degradation, favouring thrombosis. It has been considered an independent cardiovascular risk factor [91, 92]. There is no gender-related differences in lipoprotein (a) concentration, and a predictive value was observed only in men [93].

Standardization and cost reduction will be necessary for lipoprotein subfractions and apolipoprotein determinations reaching the clinical practice.

Women experience modifications on lipid profile and metabolism from child to adult life, during pregnancies and following menopause. Aging itself is associated with an increase in LDL-c, in part due to a reduction in its catabolism by the liver. However, the higher levels of total cholesterol, LDL-c and apo-B found after menopause compared to premenopausal ones are not completely explained by aging [94]. A cross-sectional analysis of the Framingham Offspring Study [14], including 1597 women and 1533 men, showed higher LDL-c concentration in male sex, as expected. Additionally, in the postmenopausal compared to premenopausal women, increased LDL-c concentration was maintained after adjustments for age and several confounders.

Smaller denser Apo-B rich LDL particles are more frequent in postmenopausal women, while larger and buoyant LDL are decreased [16]. It is estimated that 14–30% of postmenopausal women have predominance of small dense LDL particles in contrast to only 5–7% in premenopausal counterpart [16, 95]. Lower HDL-c/total cholesterol and apo-AI/apo-B ratios [16, 95], as well as direct association of small LDL-c particles with TG levels, and inverse associations of HDL-c and Apo-AI with Apo-B were reported following menopause [95]. Increased TG rich lipoproteins are associated with higher proportions of small dense LDL. In postmenopausal period, affinity to the hepatic LDL receptor is reduced in small dense LDL-c that is more susceptible to oxidation, transendothelial transport and deposition in artery wall. This LDL subfraction has long been considered by the scientific community as an independent risk factor for CVD, although this is still controversial as some studies have failed to determine this association after several adjustments for confounding factors [58, 96‐104]. Small dense LDL is also considered an independent risk factor for the development of type 2 DM [105], particularly in women [106]. Meanwhile, large HDL particles—also named HDL₂—play an essential role on reverse cholesterol transport and are considered cardioprotective [66, 85, 107]. In postmenopausal women, the latter seemed to be diminished, with a predominance of cholesterol-depleted smaller HDL particles [18, 108‐112]. These are not able to adequately transport cholesterol esters back to the liver, contributing to increased cholesterol concentrations in the blood.

In men, low levels of HDL₂ particles (larger buoyant particles) have been associated with CAD indicating worse and diffuse lesions [113]. A cross-sectional analysis of more than 1000 women in UK showed that postmenopausal ones tended to decrease their total HDL-c concentrations together with a decrease in HDL₂, without any difference in the HDL₃ concentrations when compared to the premenopausal women [18]. Similar reductions in HDL₂ were reported in high-risk postmenopausal women with untreated breast cancer [114]. Other studies have confirmed lower levels of large HDL₂ particles following menopause suggesting that HDL₂ concentrations might be influenced by the drop in female hormonal levels.

The role of sex hormones on lipid metabolism is supported by the demonstration that estrogenic therapy prevents decrease in LDL-c and increases in TG and VLDL-c concentration after menopause. Mechanisms by which female hormones interfere on lipid metabolism have been largely investigated. Estrogen is shown to increase both LDL receptor population in the liver, together with hepatic production of TG rich lipoproteins. Some authors have proposed that the lack of estrogen after menopause contributes to hypertriglyceridemia, low HDL-c and a predominance of small dense LDL particles, like the abnormalities seen in the metabolic syndrome [115]. This lipid profile is found in 15–25% of postmenopausal women and might in part be responsible for their increased cardiovascular risk [115]. The very large lipid database (VLDL 10B) study [116], in which more than a million-people had their lipoprotein subfractions measured by density gradient ultracentrifugation, supported that, after middle age, women presented a shift towards a more atherogenic lipid profile.

These findings have raised questions about the utility of hormonal replacement therapy (HRT) to prevent lipid metabolism abnormalities following menopause which could help in the prevention of CVD. Several clinical trials were conducted to investigate the effects of different schemes of HRT on the lipid profile after menopause [117‐120], but those using accurate methods for the determination of subfractions of lipoproteins are less numerous [121, 122]. In one study, 38 postmenopausal Brazilian women with formal indication for HRT were treated with continuous doses of 0.625 mg of conjugated equine estrogen (CEE) with (if they had uterus) or without 2.5 mg of medroxyprogesterone for 12 weeks. Lipoprotein subfractions were measured using an NMR spectroscopy at baseline and after treatment. Significant increases in larger VLDL and HDL particles, together with a decrease in the smaller HDL and VLDL particles were observed, but treatment did not induce significant differences in LDL subfractions [123].

Another trial evaluated the effect of estrogen alone or combined with medroxyprogesterone (1 mg of 17β-estradiol and/or 0.625 mg of CEE) for 3 months in 43 postmenopausal women [124]. Combined therapy resulted in a significant increase in the proportion of bigger HDL particles in circulation, also diminishing the absolute amount of smaller HDL particles. Other trials with estrogen alone in surgically induced menopause have shown a tendency for an increase in HDL and HDL₂, but a variety of results were found for LDL particles [118‐121]. Different HRT regimens, such as natural vs synthetic, transdermal vs oral, cyclic vs continuous, different progestogens or estrogens and doses have also been tested, but modifications in both lipid and lipoprotein subclasses are inconsistent across trials.

An interesting analysis of 243 postmenopausal women from the Healthy Women Study confirmed higher levels of large HDL particles measured by NMR spectroscopy between HRT users as compared to nonusers [125]. Despite lower levels of LDL-c, there were no differences in LDL subclasses or in coronary artery calcification (CAC) between the groups. As expected, having detectable CAC was associated with worse traditional lipid profile and increased atherogenic subfractions. Although an HRT-dependent shift on the proportions of lipoprotein subfractions could be expected in postmenopausal women, trials have not shown any benefit in cardiovascular morbidity or mortality [126‐128]. Only in a subset of younger women who initiated on HRT immediately after menopause some beneficial effects were detected [129]. Scientific societies have not recommended estrogen replacement aiming at treating dyslipidemia or reducing cardiovascular risk in postmenopausal women [130‐132].

Since aging and menopause provoke lipid changes (decreased HDL, especially HDL₂, increased small dense LDL and TG) that elevate cardiovascular risk in women partially controlled by HRT, several open questions need to be addressed to improve the prognosis of the atherosclerotic disease.

Type 2 DM commonly coexists with obesity and both are characterized by states of low-grade inflammation and insulin resistance. Type 1 macrophages accumulated in the hypertrophic adipose tissue potentiate the pro-inflammatory cytokines secretion. Efflux of free fatty acids into circulation and the hepatic insulin resistance are responsible for the dyslipidemia in this condition [133, 134]. Molecular mechanisms of the lipid metabolism disturbances in DM involve microRNAs, that are non-coding RNA molecules which regulate gene expression post-transcriptionally [135]. When microRNAs bind to their complementary sites at the 3′-untranslated regions of the target messenger RNAs (mRNAs) results in mRNA translational and repression or transcript degradation [136, 137]. They have been proven to play important role on insulin resistance and on the regulation of liver metabolism affecting circulating lipids (miR-122, miR-33a, miR-33b) and lipoprotein receptor. The relationship between insulin resistance and hypertriglyceridemia has been recognized, whereas through microRNA miR-34a, hypertriglyceridemia seems to favor the onset of DM [138, 139].

Obesity and impairment in glucose tolerance are frequent pathophysiological conditions that generate lipid-related cardiovascular risk in women following menopause. As chronic inflammatory states, these conditions contribute to lipoprotein remodelling, compromising its function. Meanwhile, reduced estrogen levels contribute to a decrease in insulin sensitivity and aggravate metabolic disturbances [140]. Therefore, postmenopausal obese type 2 diabetic individuals are prone to a combination of disorders that markedly increases the risk of dying from cardiovascular events [141, 142]. Obesity-induced efflux of free fatty acids provokes insulin-mediated skeletal uptake of free fatty acids and increased liver exposure, which results in a rise in hepatic secretion of VLDL, together with a retarded clearance of VLDL and chylomicrons, contributing to hypertriglyceridemia. This pattern of large VLDL, named VLDL₁, results in increased precursors of small dense LDL-c [143].

The typical pattern of dyslipidemia in DM—characterized by hypertriglyceridemia, low HDL-c and high small dense LDL-c levels—does not differ between sexes [144]. The HDL-c catabolism that occurs by the hepatic lipase and TG enrichment is elevated in conditions of insulin resistance [145]. Consequently, there is a reduction in HDL-c—that is predominantly from the HDL_2b subclass—as well as a relative or absolute increase in the smaller denser HDL_3b and HDL_3c [143]. Elevated non-HDL-c and predominance of small dense LDL particles to large buoyant LDL, known as phenotype B [143, 146], raise atherogenicity even in near-normal limits of LDL-c. As these particles are prone to oxidative modification, oxidized LDL is more frequently found in diabetic individuals, contributing to accelerate atherogenesis.

Small dense LDL particles have reduced affinity to LDL receptors and a prolonged plasma residence time, which could result in an increment in LDL_3a and LDL_3b and a decrement in LDL₁ and LDL_2a [143]. Of note, the opposite and desirable profile, with higher concentration of large buoyant LDL, has been called phenotype A [143, 146]. TG enrichment of these particles (VLDL and LDL) is due to the action of cholesteryl ester transfer protein (CETP), and hepatic lipase hydrolysis of TG and phospholipids [143, 147].

In addition, abnormalities on scavenger receptor class BI (SR-BI), that promotes selective uptake of HDL cholesteryl esters (HDL-CEs) into cells, have been described in the type 2 DM. An overexpression of SR-BI in the liver accompanied by a reduction of HDL-c levels were reported [148]. In contrast, genetic deletion of SR-BI resulted in increased HDL-c and atherosclerosis. These HDL-c molecules seemed to have an altered composition, including a shift toward large, buoyant HDL particles, and a significant increase in plasma apo A-I, but not apo A-II in HDL particle [149].

Consequences of insulin resistance can be present in individuals with the metabolic syndrome even before the clinical diagnosis of DM [143, 145]. Hyperglycaemia and hypoadiponectinemia are involved in the pathophysiology of the diabetic dyslipidemia, but several questions remain unanswered [145].

Incidence of type 2 DM elevates after menopause [150] and that postmenopausal diabetic women are at increased cardiovascular risk compared to nondiabetic women at the same age and hormonal status [30]. Such risk is strongly related to modifications in the lipid metabolism which are dependent of both, menopause per se as well as the diabetic condition. For our best knowledge, the deleterious impact on lipid metabolism due to the presence of DM is similar in men and postmenopausal women.

The increased risk for atherosclerosis in postmenopausal diabetic women depends on low HDL-c levels, hypertriglyceridemia and predominance of small dense LDL particles [151]. Additionally, type 2 DM clusters with other disturbances from the spectrum of the metabolic syndrome, contributing to an elevated cardiovascular mortality [152]. Interestingly, the deleterious impact of DM in the LDL particle size seems to be greater in the diabetic women than in men [153, 154] and postmenopausal diabetic women exhibited decreased large HDL particles (HDL₂) levels together with increased small HDL particles compared to normoglycemic women after menopause [31]. Figure 1 summarizes the main characteristics of structural and functional abnormalities of lipid metabolism during atherogenic process and aging and the impact of diabetes mellitus.

Meanwhile, the hypothesis that estrogen therapy could alter lipids and improve cardiovascular risk profile and outcomes has been tested in both, diabetic and non-diabetic women [123, 155‐168]. Despite many studies that investigated the HRT effects on cardiovascular risk factors in postmenopausal diabetic women, just a few evaluated lipoprotein subfractions with conflicting results. Some authors described a significant increase in total HDL, predominantly on the HDL₂ subfraction, after intervention with combined HRT [168], while others failed to demonstrate any impact on HDL or LDL subfractions [32, 166]. Due to the limited sample size and different HRT schemes used, studies available only generated hypothesis.

The effect of HRT on glucose homeostasis remains questionable [158]. A systematic review which included 16 trials with 17,971 postmenopausal women with type 2 DM demonstrated that estrogen replacement diminishes DM incidence and improves glycemic control [169], but there is no consensus yet.

To summarize, limited data on lipoprotein subfractions distribution in postmenopausal diabetic women, with or without dyslipidemia, are available. Different pharmacological approaches to ovarian failure still deserve comparisons, as well as different analytical methods to measure lipoprotein subfractions. Glycemic control level may add a confounding factor among comparisons contributing partially for inconsistent results.

To date, there is insufficient evidence to recommend lipoprotein subfractions determination in clinical practice in both sexes at lower or higher cardiovascular risk [169]. Evidence that this measurement would impact on lipid-lowering treatment strategies is lacking either [170].

A small prospective nested case–control study in normal middle-aged women has previously demonstrated that baseline particle concentration was more predictive of future cardiovascular events than LDL particle size [171]. On the other hand, an analysis of 286 postmenopausal women from the Healthy Women Study confirmed an independent association of small dense LDL with higher CAC scores, suggesting a benefit from the addition of lipoprotein subfraction measurement for CVD prediction in this subset of individuals [172].

The largest prospective trial available included 27,673 healthy women followed for 11 years [173]. Traditional lipid profile and NMR-determined lipoprotein subclass number and size were measured at baseline. No extra benefit on cardiovascular risk prediction with lipoprotein subfractions measurement after adjustment for non-lipid risk factors was obtained [173]. Finally, a recent systematic review of 24 studies, in which the impact of LDL particles for cardiovascular outcomes was examined in both sexes, reported similar findings [174].

In summary, controversies in this matter persist [175] and it is questionable whether determination of lipoprotein subfractions could be useful in clinical settings. Several techniques for measurement are available, costs of the assays are high and the incremental benefit beyond traditional lipid measures may be minimal. Prospective studies demonstrating that advantages of lipoprotein subfractions to traditional lipid profile in the context of primary and secondary prevention of cardiovascular outcomes are needed.