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Arteriosclerosis, Thrombosis, and Vascular Biology. 2005;25:1691-1696
Published online before print June 2, 2005, doi: 10.1161/01.ATV.0000172629.12846.b8
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(Arteriosclerosis, Thrombosis, and Vascular Biology. 2005;25:1691.)
© 2005 American Heart Association, Inc.

Atherosclerosis and Lipoproteins

TRL, IDL, and LDL Apolipoprotein B-100 and HDL Apolipoprotein A-I Kinetics as a Function of Age and Menopausal Status

Nirupa R. Matthan; Susan M. Jalbert; Stefania Lamon-Fava; Gregory G. Dolnikowski; Francine K. Welty; Hugh R. Barrett; Ernst J. Schaefer; Alice H. Lichtenstein

From the Cardiovascular Nutrition (N.R.M., S.M.J., A.H.L.), Lipid Metabolism (S.L.-F., E.J.S.), and Mass Spectrometry Laboratories (G.G.D.), Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Mass; Division of Cardiology (F.K.W.), Beth Israel Deaconess Medical Center, Boston, Mass; and University of Western Australia/Western Australia Institute for Medical Research (H.R.B.), Perth, Australia.

Reprint requests to Dr Nirupa Matthan, Cardiovascular Nutrition Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington St, Boston, MA 02111. E-mail nirupa.matthan{at}tufts.edu


*    Abstract
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Objective— To determine mechanisms contributing to the altered lipoprotein profile associated with aging and menopause, apolipoprotein B-100 (apoB-100) and apoA-I kinetic behavior was assessed.

Methods and Results— Eight premenopausal (25±3 years) and 16 postmenopausal (65±6 years) women consumed for 6 weeks a standardized Western diet, at the end of which a primed-constant infusion of deuterated leucine was administered in the fed state to determine the kinetic behavior of triglyceride-rich lipoprotein (TRL), intermediate-density lipoprotein (IDL), and low-density lipoprotein (LDL) apoB-100, and high-density lipoprotein (HDL) apoA-I. Data were fit to a multicompartmental model using SAAM II to calculate fractional catabolic rate (FCR) and production rate (PR). Total cholesterol, LDL cholesterol (LDL-C), TRL-C, and triglyceride levels were higher (50%, 55%, 130%, and 232%, respectively) in the postmenopausal compared with the premenopausal women, whereas HDL-C levels were similar. Plasma TRL, IDL, and LDL-apoB-100 levels and pool sizes (PS) were significantly higher in the postmenopausal than premenopausal women. These differences were accounted for by lower TRL, IDL, and LDL apoB-100 FCR (P<0.05), with no difference in PR. There was no significant difference between groups in HDL-C levels or apoA-I kinetic parameters. Plasma TRL-C concentrations were negatively correlated with TRL apoB-100 FCR (r=–0.46; P<0.05) and positively correlated with PR (r=0.62; P<0.01). Plasma LDL-C concentrations were negatively correlated with LDL apoB-100 FCR (r=–0.70; P<0.001) but not PR.

Conclusions— The mechanism for the increase in TRL and LDL apoB-100 PS observed in the postmenopausal women was determined predominantly by decreased TRL and LDL catabolism rather than increased production. No differences were observed in HDL apoA-I kinetics between groups.

Postmenopausal women have higher VLDL-C and LDL-C levels compared with premenopausal women. To determine mechanism, apolipoprotein kinetic studies were conducted in 24 women. Postmenopausal women had higher TRL and LDL pool sizes, which were accounted for by lower TRL and LDL apoB-100 catabolic rates. No significant difference in plasma HDL-C levels or apoA-I kinetics parameters were observed between groups.


Key Words: apolipoprotein • lipids • lipoproteins • stable isotopes • menopausal status • aging


*    Introduction
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Cardiovascular disease (CVD) is the leading cause of death in the United States1,2 as well as in most developed countries.3–5 Based on data from the Framingham Heart Study, annual rates of first CVD event rise from 7 per 1000 in men 35 to 44 years of age to 68 per 1000 in men 85 to 94 years of age.6 In women, rates are comparable, but events occur 10 years later.6 This gender difference in risk has been attributed to a possible protective effect of endogenous female sex hormones.7

Among women, CVD death rates after menopause are 2 to 3x higher than women the same age before menopause.6,8 Several studies have also provided compelling evidence that CVD increases after oophorectomy and in women with premature menopause.9–11 In the Nurses’ Health Study, women who had undergone a bilateral oophorectomy had up to an 8-fold increase in CHD risk.10 Similarly, in the Women’s Health Initiative study, hysterectomized women, with or without ovarian preservation, had a significantly higher 10-year risk of myocardial infarction or coronary death, estimated using the Framingham algorithm compared with nonhysterectomized women.9

Data from cross-sectional12–25 and longitudinal studies12,18,21,26–29 have shown that menopause alters CVD risk factors. Postmenopausal compared with premenopausal women have higher plasma total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDL-C), and triglyceride (TG) levels. Differences in high-density lipoprotein cholesterol (HDL-C) levels have been inconsistent, with some reporting an increase,20 others a decrease,12,13,29 or no change16,17,19,22,24,25 after menopause. Hormone replacement therapy (HRT) does not reverse the apparent affects of a changed menopausal status on CVD outcomes. Mimicking the potential protective effect of endogenous with exogenous hormones has had disappointing results.30–32 Together, these data suggest that the premenopausal state and exogenous estrogen do not result in similar metabolic states.

Plasma lipoprotein levels are determined by the balance between production and catabolism. LDL production is dependent on the metabolism of its precursor, TG-rich lipoprotein (TRL), whereas clearance is largely mediated by LDL receptor uptake. Apolipoprotein B-100 (apoB-100) is synthesized in the liver and secreted in the form of TRL, which is subsequently delipidated to form LDL. ApoB-100 serves as a ligand for the LDL receptor and enables removal of LDL from plasma. ApoA-I is the main apolipoprotein associated with HDL. Assessing the kinetic behavior of the major apolipoproteins provides a unique opportunity to define mechanisms underlying the change in lipoprotein profiles associated with menopause. In the present study, we characterized the kinetic behavior of apoB-100 in 3 lipoprotein classes: TRL, intermediate-density lipoprotein (IDL), and LDL, as well as HDL apoA-I in premenopausal (younger) and postmenopausal (older) menopausal women.


*    Methods
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Subjects
Study subjects were selected to maximize differences in sex hormone status. Consequently, perimenopausal women with irregular menses and postmenopausal women who attained menopause 12 months before the start of the study were excluded (predominantly women in the 40- to 50-year age range). Menopausal status was confirmed on the basis of plasma estradiol (30±18 and 11±7 pg/mL; P=0.01) and follicle-stimulating hormone (5±1 and 60±26 mIU/mL; P<0.0001; premenopausal and postmenopausal women, respectively) levels. To further minimize potential confounding factors, only women free from chronic illness and not using HRT, oral contraceptives, or medications known to affect lipid metabolism (lipid-lowering drugs, fish oil capsules, ß-blockers, or diuretics) were recruited. Subjects who smoked, had undergone a hysterectomy or oopherectomy, or reported consuming ≥2 alcoholic drinks per day were also excluded from participation. On the basis of hormonal status, they are referred to as premenopausal and postmenopausal women throughout this article. The final sample size for the apoB-100 kinetic study was 18 (8 premenopausal and 10 postmenopausal women). Six additional postmenopausal women who participated in the placebo phase of an estrogen or estrogen plus progestin study designed to measure HDL kinetics (Lamon-Fava et al, unpublished data, 2005) were included in the apoA-I kinetic data set (8 premenopausal and 16 postmenopausal women). Protocols were approved by the human investigation review committee of the New England Medical Center and Tufts University. All subjects gave written informed consent.

Experimental Design and Diet
Eight premenopausal and 10 postmenopausal women were maintained for 6 weeks on a standardized Western diet providing 49% energy (%E) carbohydrate, 15%E protein, 35%E (14% saturated fatty acids, 15% monounsaturated fatty acids, and 7% polyunsaturated fatty acids), and 180 mg cholesterol per 1000 kcal. All food and drink were provided to the subjects who reported to the metabolic research unit of Tufts University 4x per week. Initial energy intakes were calculated using the Harris-Benedict equation, and adjustments made when necessary to maintain body weight. Six additional postmenopausal women were counseled to adhere to a similar diet, and after 4 weeks, HDL apoA-I kinetics were determined at the general clinical research center of Tufts-New England Medical Center using identical protocols and methodologies.

Measurement of Lipoprotein Kinetics
At the end of the lead-in period, a primed-constant infusion of deuterated leucine was administered to the women in the fed state to determine the kinetic behavior of TRL, IDL, and LDL apoB-100, and HDL apoA-I. After a 12-hour fast, subjects were fed the standard Western diet hourly for 20 hours starting at 6 AM. Each identical meal consisted of 1/20 their daily caloric intake as described previously.34 Five hours after the first meal, subjects received an intravenous bolus dose (10 µmol/kg) followed by a constant infusion (10 µmol/kg per hour) of [5,5,5-2H3]-L-leucine over a 15-hour period. Blood samples (20 mL) were collected via a second intravenous line at 0, 0.5, 0.75, 1, 2, 3, 4, 6, 8, 10, 12, and 15 hours.

The protocol for plasma lipid and lipoprotein characterization, quantification, and isolation of the apolipoproteins, isotopic enrichment determinations, and kinetic analysis were performed as described in detail previously.35–42 The fasting lipid and lipoprotein values reported are averages of 3 measurements taken at the end of the lead-in period. The nonfasting lipid and lipoprotein values are averages of 5 measurements corresponding to time points 1, 4, 8, 12, and 15 hours during the infusion protocol.

Kinetic Analysis
The kinetic parameters of apoB-100 in TRL, IDL, and LDL fractions, as well as apoA-I in HDL, were determined by fitting the multicompartmental model (Figures 1 and 2Down) to the tracer/tracee (T/T) ratio data using the SAAM II program (SAAM Institute) as described previously.39–42 After fitting the observed data to the respective models, fractional catabolic rates (FCRs; in pools per day) and PRs (mg/kg per day) of apoB-100 and apoA-I were calculated.39–42



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  		Figure 1. ApoB-100 compartmental model. Compartment 1 was the apolipoprotein precursor pool, defined by a forcing function representing the apoB-100 enrichment plateau. Compartment 2 was an intracellular delay compartment accounting for the synthesis of apoB and assembly of lipoproteins. Compartment 3 represented rapidly turning over TRL particles, whereas compartments 4, 5, and 6 represented a classical delipidation chain accounting for TRL particles that turned over more slowly. IDL apoB-100 (compartment 7) was derived from either TRL compartment 3 or the delipidation chain. LDL apoB-100 (compartment 8) was derived from the IDL fraction or directly from TRL compartment 3.



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  		Figure 2. ApoA-I compartmental model. Compartment 1 was the apolipoprotein precursor pool, defined by a forcing function representing the apoB-100 enrichment plateau. Compartment 2 was the intracellular delay compartment representing the time required for the synthesis and secretion of apoA-I from the intestine and liver. Compartment 3 represented the apoA-I T/T ratio with direct catabolism of apoA-I from this compartment.

Statistical Analyses
Before statistical testing, data were checked for normality, and appropriate transformations were performed when necessary. Variables log transformed included body mass index (BMI), HDL-C, TRL-C, VLDL-C, and TGs. Untransformed data are presented in text and tables as means±SD. Students t test (SAS version 8; SAS Institute Inc) was used to assess mean differences between groups. Pearson correlation coefficients were calculated to test for association between plasma lipoproteins and apoB-100 and apoA-I kinetic parameters.


*    Results
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Baseline Characteristics and Lipoprotein Data
Consistent with the study design, the postmenopausal women were significantly older (mean 62 [n=10] and 65 [n=16] years of age) than the premenopausal women (mean 25 years of age; Table 1). The group mean for BMI was higher for the 16 postmenopausal compared with premenopausal women. No significant differences in body weight were observed between the postmenopausal (both groups) and premenopausal women.


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  		TABLE 1. Baseline Characteristics and Lipid and Lipoprotein Concentrations

Nonfasting plasma TC, LDL-C, TRL-C, and TG levels were significantly higher by 50%, 55%, 130%, and 232%, respectively, in the postmenopausal (n=16) compared with the premenopausal women (Table 1). Differences between the postmenopausal (n=10) and premenopausal women also followed a similar pattern (53%, 71%, 74%, and 63%, for nonfasting TC, LDL-C, TRL-C, and TG levels, respectively). No significant difference was observed in HDL-C levels between groups. Similar results were obtained when the fasting lipid and lipoprotein data were used in the analysis (Table 1).

The T/T ratio for TRL, IDL, and LDL apoB-100 and HDL apoA-I versus time in premenopausal (A) and postmenopausal (B) women are depicted in Figure I (available online at http://atvb.ahajournals.org).

ApoB-100 Kinetics
Plasma TRL, IDL, and LDL apoB-100 levels were 112%, 58%, and 38% higher in the postmenopausal compared with the premenopausal women (all P values <0.05; Table 2). A similar pattern was observed for TRL, IDL, and LDL pool sizes (PS; 107%, 70%, and 48%, respectively). These higher values were accompanied by a 45%, 51%, and 32% lower TRL, IDL, and LDL apoB-100 FCR in the postmenopausal relative to the premenopausal women (all P values P<0.05). TRL rate constants in the delipidation pathway were {approx}50% lower in the postmenopausal compared with the premenopausal women (Figure 1). A similar trend was also observed with regard to TRL and IDL clearance rate constants. There was no significant effect of menopausal status on PR in any apoB-100 lipoprotein subclass (Table 2).


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  		TABLE 2. Kinetic Parameters of TRL, IDL, and LDL ApoB-100

To determine whether the differences observed in plasma TRL-C and LDL-C levels were associated with differences in apoB-100 FCR or PR, correlation coefficients were calculated. Plasma TRL-C levels were correlated negatively with TRL apoB-100 FCR (r=–0.46; P<0.05; Figure 3A) and positively with TRL PR (r=0.62; P<0.01; Figure 3B) and TRL apoB-100 and PS (r=0.68; P<0.01 and r=0.59; P<0.01, respectively). Plasma LDL-C levels were correlated negatively with LDL apoB-100 FCR (r=–0.46; P<0.05; Figure 3C) and positively with LDL apoB-100 and PS (r=0.68; P<0.01 and r=0.59; P<0.01, respectively). Plasma LDL-C levels and the PR of LDL apoB-100 were not significantly related (Figure 3D).



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  		Figure 3. Correlation between plasma TRL-C levels (mmol/L) and TRL apoB-100 FCR (pools per day; A) and TRL apoB-100 PR (mg/kg per day; B); plasma LDL-C levels (mmol/L) LDL apoB-100 FCR (pools per day; C) and LDL apoB-100 PR (mg/kg per day; D) and plasma HDL-C levels (mmol/L) and HDL apoA-I FCR (pools per day; E) and HDL apoA-I PR (mg/kg per day; F). The asterisk represents the premenopausal women; {blacksquare}, postmenopausal women.

ApoA-I Kinetics
Plasma apoA-I levels and PS did not differ significantly among the premenopausal and postmenopausal women (Table 3). There were no significant differences in apoA-I FCR or PR between the 2 groups of women. Likewise, no significant association was observed between plasma HDL-C levels and apoA-I FCR (r=–0.12; P=0.58; Figure 3E) or PR (r=0.36; P=0.10; Figure 3F).


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  		TABLE 3. Kinetic Parameters of HDL ApoA-I


*    Discussion
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Longitudinal studies12,18,21,26–29 have demonstrated that the transition from premenopause to postmenopause is associated with elevated TC, LDL-C, and TG levels. This finding is supported by cross-sectional studies,12–25 including our data. The unique finding of the present study is that the metabolic basis for these effects is attributable to differences in TRL and LDL apoB-100 FCR, not PR.

Evaluating the independent association between menopause and CVD risk is difficult because of the high correlation between hormonal status and age. One solution is to follow the same group of women in a longitudinal study. This approach is hampered by weight gain and lifestyle changes over time, the potential need for treatment to alleviate menopausal symptoms in some women, as well as the technical difficulties associated with conducting a stable isotope kinetic study in a large number of individuals over time.

Our primary goal was to determine whether loss of endogenous sex hormones contributes to the atherogenic lipid profile observed in postmenopausal women. Consequently, by recruiting younger premenopausal and older postmenopausal women, we were able to maximize this contrast in sex hormone status. An alternate approach is to match subjects by age or include a narrower age range and statistically adjust for age. However, this would have resulted in the inclusion of perimenopausal women with irregular menses and postmenopausal women who had recently attained menopause, thereby diluting the hormonal effect. Although our stringent exclusion criteria eliminated the bias induced by oral contraceptive/HRT use and weight change, the design of the present study limited the ability to partition out the independent effects of menopause from aging, and this factor must be taken into account when interpreting the results.

Little is known about the effect of natural menopause on lipoprotein kinetics. Our data show that nonfasting plasma TC, LDL-C, TRL-C, TG, and apoB-100 levels were higher in postmenopausal compared with premenopausal women. This was accompanied by lower TRL and LDL FCR. One possible explanation is the reduction in endogenous hormone secretion. Conjugated equine estrogen replacement therapy increases TG levels,43 an effect presumably resulting from the hepatic first pass of this steroid. Oral 17ß estradiol raises TG levels by increasing PR of large and small VLDL, with no significant change in FCR.23,44 This effect may result from an increase in hepatic apoB mRNA transcription and incorporation into nascent VLDL.45 Inhibition of hepatic fatty acid ß-oxidation by estrogen46 promotes increased TG synthesis and decreased intracellular degradation of newly synthesized apoB-100, contributing to increased apoB secretion in large VLDL. Transdermal 17ß estradiol, considered to more closely reflect the physiological effect of endogenous estrogen, has little effect or causes a slight reduction in TG levels.47

Changes in body composition observed after menopause12,48,49 may contribute to changes in TG levels. Differences in BMI was borderline significant (P=0.07) between the women who participated in the apoB-100 part of the kinetic study. No association was observed between BMI and TRL, IDL or LDL apoB100 FCR, or PR, regardless of menopausal status (data not shown). It has been suggested that increased fat mass could elevate plasma free fatty acid levels, causing overproduction of TG by hepatocytes and resulting in excess TRL apoB-100 production. This would decrease conversion of IDL to LDL and delay FCR of LDL via downregulation of hepatic LDL receptor activity. This hypothesis is partially supported by the slower TRL delipidation and clearance rate constants and lower TRL, IDL, and LDL apoB-100 FCR observed in the postmenopausal compared with premenopausal women.

The LDL apoB-100 kinetic studies23,44,50–52 collectively demonstrate that estrogen, irrespective of type or route of administration, decreases plasma LDL-C levels by increasing LDL apoB-100 FCR, potentially mediated via upregulation of hepatic LDL receptor mRNA transcription.45,53 Based on these results, loss of endogenously produced estrogen may have the reverse effect and decrease clearance of LDL and subsequently increased plasma LDL-C levels. This was observed in the present study.

Conflicting results have been reported on the effect of menopause and plasma HDL-C levels. Although most studies,16,17,19,22,24,25 including the current data, find no significant difference between premenopausal and postmenopausal women, others report either an increase20 or a decrease.12,13,29 Kinetic studies have attributed the increase in HDL-C levels after oral HRT to increased apoA-I PR50,54 or decreased apoA-I FCR.55 Brinton et al55 reported that FCR was the major determinant of HDL-C levels in women with a wide range of HDL-C levels and ages. The effect of age or menopausal status was not addressed. However, mean HDL-C (1.9 and 1.8 mmol/L) and apoA-I (4.6 and 4.1 mmol/L) levels were similar in the 12 premenopausal and 3 postmenopausal women, respectively (assuming a mean menopause age of 52 years), precluding further distinctions between the 2 groups. Interestingly, transdermal estrogen, bypassing the liver, had little effect on HDL-C levels or kinetic rates.54 In the current study, the finding of no significant difference in HDL apoA-I kinetic behavior between the premenopausal and postmenopausal women supports the conclusion that loss of endogenous estrogen does not markedly impact plasma HDL-C levels.

In conclusion, results of the present study demonstrate that lower TRL and LDL FCR rather than higher PR was the putative factor in modulating TRL and LDL apoB-100 PS and plasma levels in postmenopausal women. There was little effect of menopausal status on HDL-C or apoA-I levels or kinetic parameters. The potentially adverse consequence of a shift toward a more atherogenic lipoprotein profile in postmenopausal women emphasizes the need for better understanding, prevention, and treatment of heart disease in postmenopausal and oophorectomized women.


*    Acknowledgments
 
This work was supported by grants HL 54727 (N.R.M. and A.H.L.) and HL 39236 (E.J.S.) from the National Institutes of Health. We are indebted to the Metabolic Research Unit staff for their expert care of the study subjects, to Margaret Diffenderfer for technical assistance, and to the study subjects, without whom this investigation would not be possible.

Received October 20, 2004; accepted May 18, 2005.


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