Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-22T05:59:05.009Z Has data issue: false hasContentIssue false

Maternal undernutrition programmes atherosclerosis in the ApoE*3-Leiden mouse

Published online by Cambridge University Press:  10 September 2008

Zoe Yates
Affiliation:
School of Biosciences, University of Nottingham, Sutton Bonington, LoughboroughLE12 5RD, UK
Elizabeth J. Tarling
Affiliation:
School of Biosciences, University of Nottingham, Sutton Bonington, LoughboroughLE12 5RD, UK
Simon C. Langley-Evans*
Affiliation:
School of Biosciences, University of Nottingham, Sutton Bonington, LoughboroughLE12 5RD, UK
Andrew M. Salter
Affiliation:
School of Biosciences, University of Nottingham, Sutton Bonington, LoughboroughLE12 5RD, UK
*
*Corresponding author: Professor Simon C. Langley-Evans, fax +44 115 9516122, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Poor quality of nutrition during fetal development is associated with adverse health outcomes in adult life. Epidemiological studies suggest that markers of fetal undernutrition are predictive of risk of the metabolic syndrome and CHD. Here we show that feeding a low-protein diet during pregnancy programmed the development of atherosclerosis in ApoE*3-Leiden mice. ApoE*3-Leiden mice carry a mutation of human ApoE*3 rendering them prone to atherosclerosis when fed a diet rich in cholesterol. It was noted that fetal exposure to protein restriction led to a greater degree of dyslipidaemia in mice when fed an atherogenic diet, with low-protein-exposed ApoE*3 mice having elevated total plasma cholesterol (34 % higher; P < 0·001) and TAG (39 % higher; P < 0·001) relative to offspring exposed to a control diet in utero. The low-protein group developed more severe atherosclerotic lesions within the aortic arch (2·61-fold greater lesion area; P < 0·001). Analysis of a targeted gene array suggested a potential role for members of the LDL receptor superfamily, along with similar programmed suppression of the mRNA expression of hepatic sterol regulatory element-binding protein-1c. This indicates that disordered lipid metabolism may play a role in the fetal programming of atherosclerosis in this model. Whereas earlier studies have shown early programming of cardiovascular risk factors, these results demonstrate for the first time that the interaction of prenatal undernutrition with a postnatal atherogenic diet increases the extent of atherosclerotic disease.

Type
Full Papers
Copyright
Copyright © The Authors 2008

It is acknowledged that the onset and development of disease in adult life is associated with quantity and quality of nutrition during the fetal period(Reference Gluckman and Hanson1). Epidemiological studies in developed and developing countries have strongly suggested that the intra-uterine environment plays a role in determining risk of adult disease(Reference Barker, Winter, Osmond, Margetts and Simmonds2, Reference Eriksson, Forsen, Tuomilehto, Osmond and Barker3). Many cohort studies indicate that lower weight at birth, followed by rapid catch-up growth in childhood, is associated with risk of the metabolic syndrome and CVD in later life. It has been proposed that maternal undernutrition may ‘programme’ long-term changes in gene expression and therefore metabolism in the fetus, resulting in cardiovascular abnormalities in later life(Reference Barker, Gluckman, Godfrey, Harding, Owens and Robinson4). While the origins of the metabolic syndrome are multifactorial, maternal nutrition and its impact during fetal development may be an important contributing factor. Work from Napoli and colleagues has, for example, demonstrated that atherosclerotic lesions begin to form during fetal life, in both humans and animals, and that this process is accelerated by maternal hypercholesterolaemia(Reference Napoli, D'Armiento, Mancini, Postiglione, Witztum, Palumbo and Palinski5, Reference Napoli and Palinski6). Moreover the expression of genes that predispose to, or protect against, these conditions will be further modified by interactions between the genotype, early life nutrition and the postnatal environment(Reference Langley-Evans7).

Transgenic mice with an altered lipoprotein metabolism, in particular transgenic and knockout mice based on the ApoE gene, have been important tools for the elucidation of the relationships between hyperlipidaemia and atherosclerosis. The ApoE*3-Leiden mouse carries a naturally occurring tandem duplication mutation of codons 120–126 in the human ApoE gene, on a C57Bl/6J background(Reference van den Maagdenberg, Hofker, Krimpenfort, de Bruijn, van Vlijmen, van der Boom, Havekes and Frants8). This results in impaired clearance of lipoproteins from the plasma, raised plasma lipid levels and a greater susceptibility to developing atherosclerosis when the mice are fed diets rich in cholesterol(Reference Groot, van Vlijmen, Benson, Hofker, Schiffelers, Vidgeon-Hart and Havekes9). Whilst other transgenic mouse strains, for example the LDL receptor (LDLr) knockout mouse, develop atherosclerosis even when fed a standard chow diet, the cholesterol-rich diet is an absolute requirement for the development of lesions in the ApoE*3-Leiden mouse. This makes this strain ideal for studies evaluating the influence of diet upon atherosclerosis and CHD.

Less than optimal intakes of protein remain commonplace throughout the world, impacting upon populations in developing countries and among the lower socio-economic groups in developed nations. In the rat, fetal exposure to a maternal low-protein diet has been consistently shown to programme high blood pressure, impairments of renal function, dyslipidaemia and glucose intolerance(Reference Langley-Evans7). Although these phenotypes are commonly seen in the offspring of rodents and sheep subject to a variety of different manipulations of the maternal diet, they are all risk factors for disease rather than disease outcomes in their own right. In the present study, therefore, we aimed to assess the capacity of undernutrition to programme atherosclerosis using the well-established low-protein model.

Materials and methods

Animal protocols

All experiments involving mice were performed in accordance with the Animals (Scientific Procedures) Act 1986 and subject to UK Home Office regulations. Male and female mice (aged 10–12 weeks) were maintained in a controlled environment (21°C; 55 % humidity) with a 12 h light–dark cycle. Animals were maintained on a standard laboratory chow diet (Beekay Universal, Hull, UK) and had ad libitum access to food and water at all times. Male ApoE*3-Leiden transgenic mice, on a C57BL/6J background, were mated with wild-type C57BL/6J females. The ApoE*3-Leiden transgene is lethal to homozygotes, so this mating strategy was necessary to produce mice that were heterozygous for the transgene, and which would therefore be atherosclerosis-prone. All litters in the study therefore contained a mixed population of wild-type and transgenic offspring. The pregnant females were fed either a control (18 % casein; n 20) or a low-protein (9 % casein; n 22) diet, as described previously(Reference Langley and Jackson10). At birth all mothers were transferred to the same standard chow diet. The offspring therefore differed only in their prenatal dietary exposures. Mothers and offspring were otherwise left undisturbed until weaning, as preliminary work with these mice suggested that handled pups may be rejected by their mothers. Offspring were genotyped using PCR before weaning at 28 d postnatal age(Reference Hogan, Costantini and Lacy11). Based on their genotype, sex and prenatal experience, offspring were then allocated to be fed either a chow diet or an atherogenic diet comprising 15 % cocoa butter, 40·5 % sucrose and 0·25 % cholesterol. The latter was designed to induce the disease process, as in the ApoE*3-Leiden mice, cholesterol in the diet produces proportionate increases in circulating cholesterol(Reference Groot, van Vlijmen, Benson, Hofker, Schiffelers, Vidgeon-Hart and Havekes9). There were eight treatment groups of male and female offspring from both control and low-protein-fed mothers. Offspring were of either wild-type or ApoE*3-Leiden genotype. As, in keeping with previous studies of ApoE*3-Leiden mice(Reference van Vlijmen, van 't Hof, Mol, van der Boom, van der Zee, Frants, Hofker and Havekes12), we observed neither significant hypercholesterolaemia, nor atherosclerosis in male offspring fed the atherogenic diet, we report here only the data from the female offspring in the trial.

After 3 months of postnatal feeding, animals were killed using a rising concentration of carbon dioxide and were not fasted before cull. Whole blood was collected into vacutainers by heart puncture and plasma prepared by centrifugation at 13 000 rpm at 4°C for 10 min. The liver, adipose (perirenal and gonadal depots), kidneys and abdominal aorta were dissected from each animal, weighed to the nearest 0·1 mg and snap-frozen in liquid N2. Hearts and the aortic root were dissected from each animal and infused with OCT fixing compound (Miles Inc., Elkhart, IN, USA) and snap-frozen in OCT until sectioning.

Genotyping of transgenic mice

Genomic DNA was extracted from 0·3 cm of mouse tail by standard procedures(Reference Langley and Jackson10). PCR was performed on genomic tail DNA using primers spanning the ApoE*3-Leiden mutation (forward primer 5′ GCCCCGGCCTGGTACACTGC 3′; reverse primer 5′ GGCACGGCTGTCCAAGGAGC 3′).

Measurement of plasma metabolites

Total circulating plasma cholesterol and TAG were assayed using commercially available kits (ThermoTrace, Noble Park, Vic, Australia), according to the manufacturer's instructions. Assay linearity was 20 mmol/l for cholesterol and 10 mmol/l for TAG; assay sensitivity was 62 ΔmA per mmol/l for cholesterol and 0·158 ΔA per mmol/l for TAG.

Histological analysis of the heart and aortic root

Frozen heart and aortic root samples were sectioned using a cryostat (Bright Instruments, Huntingdon, Cambs, UK). Alternate sections of 10 μm thickness were collected of the aortic root, stained with Oil Red O and imaged using a Nikon phase contrast 2 microscope and a MicroPublisher 3·3 RTV camera (Q Imaging, St Helens, Lancs, UK). Atherosclerotic lesions were analysed and quantified following the method of Paigen et al. (Reference Paigen, Morrow, Holmes, Mitchell and Williams13)using Image Pro-Plus software (Media Cybernetics, Inc., Bethesda, MD, USA) to determine the percentage of the total area of the aortic intima exhibiting atherosclerotic lesions. The average lesion area for each animal was calculated using data from fifteen sections per animal.

Oligo GEArray® analysis of gene expression

In order to assess some of the mechanisms that might lead offspring of low-protein-fed mice to be more prone to atherosclerosis in postnatal life, we used a targeted DNA microarray to analyse transcripts in the liver. Liver was selected as the main tissue of interest, as earlier work with rats(Reference Langley-Evans7) suggested programming of disturbed lipid metabolism could be of particular significance in the ApoE*3-Leiden mouse. RNA was extracted from the livers of ApoE*3-Leiden female mice using the TRIzol® method (Invitrogen Corp., Carlsbad, CA, USA). RNA was quantified on a NanoDrop® spectrophotometer (ND-1000; NanoDrop®, Wilmington, DE, USA) and ribosomal band integrity was assessed on an agarose gel and an Agilent Bioanalyzer® (Agilent Technologies, Inc., Santa Clara, CA, USA). cDNA and cRNA were synthesised and the latter labelled using the SuperArray TrueLabelling-AMP™ 2·0 kit (according to the manufacturer's instructions). Target cRNA was hybridised to each microarray using the Oligo GEArray® System (SuperArray; SABiosciences, Frederick, MD, USA), according to the manufacturer's guidelines. Four to six microarrays were used for each group, with RNA from one randomly selected mouse per group used per array. Microarrays were exposed to X-ray film for 30 s, 1 min, 2 min and 5 min to identify the exposure time which produced the largest possible dynamic range in the individual signals. Images were captured using a Fluor-S multi-imager and saved as 16 bit TIFF images. Image analysis and data acquisition were performed using the GEArray Expression Analysis Suite (www.sabiosciences.com; SABiosciences, Inc.). The full list of genes included in the array is shown in Table 1. Data were normalised to the arithmetic mean of the housekeeping genes, Rps27a (ribosomal protein S27a), B2m (β-2 microglobulin), Hspcb (heat-shock protein 1 β) and Ppia (peptidylprolyl isomerase A).

Table 1 Full list of genes that were included in the microarray analysis

ECM, extracellular matrix.

Determination of mRNA expression

Quantitative PCR was performed as a follow up to the microarray studies. Hepatic RNA was extracted using the TRIzol® method (Invitrogen Corp.) according to the manufacturer's guidelines. cDNA was synthesised using MML-V RT (Promega Corp., Madison, WI, USA) and quantitative RT-PCR was performed using a Roche Light Cycler 480® (Roche Diagnostics, Basel, Switzerland). Flurogenic probes were labelled with 6-carboxy-fluorescin (FAM) at the 5′ end and with 6-carboxy-tetramethyl-rhodamine (TAMRA) at the 3′ end. A negative template control and a relative standard curve were included on every PCR run. The standard curve was prepared from a pool of sample cDNA over a range of dilutions. Relative target quantity was calculated from the standard curve and all samples were normalised against the geometric mean of four housekeeping genes, β-actin, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), 36B4 and hypoxanthine phosphoribosyl transferase (HPRT)(Reference Vandesompele, De Preter, Pattyn, Poppe, Van Roy, De Paepe and Speleman14). Sequences of primers and probes used for RT-PCR are shown in Table 2.

Table 2 Probe and primer sequences for real-time polymerase chain reaction studies

GAPDH, glyceraldehyde-3-phosphate dehydrogenase; HPRT, hypoxanthine phosphoribosyl transferase; LDLr, LDL receptor; LRP-1, LDL receptor-related protein 1; SREBP, sterol regulatory element-binding protein; VLDLr, VLDL receptor.

* Supplied by Applied Biosystems (Foster City, CA, USA).

Statistical analysis

All data are presented as mean values with their standard errors. Unless stated otherwise in the text, data were analysed using a mixed-model analysis using SPSS (version 14.0; SPSS, Inc., Chicago, IL, USA). In the case of plasma TAG, cholesterol and mean atherosclerotic lesion area maternal diet, postnatal diet and genotype were the fixed factors and the results adjusted for within-litter effects(Reference Festing15). This adjustment removed the influence of having littermates within some of the groups and is an analytical approach we have used in our previous studies of programming(Reference Erhuma, Salter, Sculley, Langley-Evans and Bennett16, Reference Erhuma, Bellinger, Langley-Evans and Bennett17). For microarray gene expression data and quantitative RT-PCR expression data, where only ApoE*3-Leiden offspring were studied, maternal diet and postnatal diet were the fixed factors and the results adjusted for within-litter effects. It was not possible to identify differences between specific groups where the difference may have arisen through an interaction of two or more factors. Post hoc tests were not performed where ANOVA indicated interactive effects.

Results

Pregnant C67Bl/6J mice fed control or low-protein diets gave birth to litters of similar size (control, 5·4 (sem 0·4) pups per litter; low protein, 5·1 (sem 0·4) pups per litter). The males:females ratio was similar in both prenatal dietary groups (control, 0·92; low protein, 0·90). The proportion of ApoE*3-Leiden mice produced by the pregnant mice was not significantly different (P>0·05; χ2 test) in the two maternal dietary groups (control, 37·3 % transgenic; low protein, 33·8 % transgenic). Maternal food intake was similar in control and maternal low-protein pregnancies (data not shown). Offspring were not weighed at birth in order to avoid maternal stress and rejection of pups, but as shown in Fig. 1 (a), there were influences of maternal diet by the time the animals were weaned at 28 d. Offspring exposed to low-protein diets in utero were heavier (P = 0·002) than those from control diet-fed dams. There were no differences in weight between animals of different genotypes, and weights of animals allocated to postnatal chow or atherogenic diets were similar at the start of the feeding trial (Fig. 1 (a)). At the end of the 3-month feeding period the low-protein-exposed offspring remained heavier than the prenatal controls (P = 0·002), although this effect appeared to be confined to the C57Bl/6J strain (Fig. 1 (b)). At cull perirenal and gonadal fat pads were collected and carefully weighed. The sum of these fat pads, corrected for body weight, was used as a measure of abdominal fat deposition. It was noted that mice exposed to low-protein diet in utero had more fat at these sites than controls (effect of maternal diet; P = 0·023). Feeding of the postnatal atherogenic diet increased fat depot size relative to body weight in C57Bl/6J mice (Fig. 2), but this effect was not observed in the ApoE*3-Leiden mice (interaction of pre- and postnatal diets; P = 0·002).

Fig. 1 Body weight at weaning (a) and at cull after 3 months of feeding chow or atherogenic diet (b). CON, maternal control diet; MLP, maternal low-protein diet; (□), female wild-type C57Bl/6J mice; (■), female transgenic ApoE*3-Leiden mice. Data are means, with standard errors represented by vertical bars. For wild-type C57Bl/6J mice: CON chow, n 10; CON atherogenic, n 10; MLP chow, n 11; MLP atherogenic, n 13. For ApoE*3-Leiden mice: CON chow, n 5; CON atherogenic, n 8; MLP chow, n 6; MLP atherogenic, n 6. At weaning there was an effect of maternal diet (P = 0·002). At the end of the trial there was an effect of maternal diet (P = 0·002). * Mean value was significantly different from CON animals of the same genotype and fed the same postnatal diet (P < 0·05).

Fig. 2 Total perirenal and gonadal fat depot weight corrected for body weight to provide an indicator of relative fat depot size. CON, maternal control diet; MLP, maternal low-protein diet; (□), female wild-type C57Bl/6J mice; (■), female transgenic ApoE*3-Leiden mice. Data are means, with standard errors represented by vertical bars. For wild-type C57Bl/6J mice: CON chow, n 10; CON atherogenic, n 10; MLP chow, n 11; MLP atherogenic, n 13. For ApoE*3-Leiden mice: CON chow, n 5; CON atherogenic, n 8; MLP chow, n 6; MLP atherogenic, n 6. There was an effect of maternal diet (P = 0·023). There was an interaction of maternal and postnatal diets (P = 0·002). * Mean value was significantly different from CON animals of the same genotype and fed the same postnatal diet (P < 0·05).

The mice were culled after 3 months of postnatal feeding, for collection of blood and tissues. As shown in Fig. 3, the plasma cholesterol and TAG concentrations in the ApoE*3-Leiden mice were generally similar to wild-type C57Bl/6J offspring, when fed the chow diet. Females of the ApoE*3-Leiden strain developed a massive hypercholesterolaemic response to the atherogenic diet (P < 0·001). We observed an interactive effect of the maternal diet and postnatal diet (P = 0·029), indicating that ApoE*3-Leiden females exposed to the low-protein diet had higher total cholesterol concentrations following the atherogenic diet than those exposed to the control diet in utero. Plasma TAG concentrations were higher in female ApoE*3-Leiden mice than in wild-type animals. As with cholesterol, the response to the atherogenic diet was greater in the low-protein-exposed group than in the controls (genotype × maternal × postnatal diet interaction; P = 0·047).

Fig. 3 Cholesterol (a) and TAG (b) concentrations. CON, maternal control diet; MLP, maternal low-protein diet; (□), female wild-type C57Bl/6J mice; (■), female transgenic ApoE*3-Leiden mice. Data are means, with standard errors represented by vertical bars. For wild-type C57Bl/6J mice: CON chow, n 10; CON atherogenic, n 10; MLP chow, n 11; MLP atherogenic, n 13. For ApoE*3-Leiden mice: CON chow, n 5; CON atherogenic, n 8; MLP chow, n 6; MLP atherogenic, n 6. ANOVA indicated significant effects of maternal diet (P < 0·001), atherogenic diet (P < 0·001) and genotype (P < 0·001) and interactions of maternal diet with diet and genotype (P < 0·05) on both variables. * Mean value was significantly different from CON animals of the same genotype and fed the same postnatal diet (P < 0·05).

The degree of atherosclerosis observed in female ApoE*3-Leiden offspring is shown in Fig. 4. Wild-type animals showed no effects of either maternal diet or atherogenic diet (data not shown). However, when we considered lesion area in the ApoE*3-Leiden females it was clear that the atherogenic diet induced lesions to a significantly greater extent (2·61-fold) in the animals exposed to a low-protein diet in utero than in those exposed to the control diet (P = 0·005). In ApoE*3-Leiden animals, lesion area was strongly correlated with plasma cholesterol concentration (r 0·791, P < 0·001; Pearson's correlation). The effects of both the prenatal protein restriction and the postnatal atherogenic diet were observed only in female offspring. This sex-specificity is a well-established feature of the ApoE*3-Leiden strain resulting from differences between males and females in terms of VLDL production and clearance rates within the liver(Reference van Vlijmen, van 't Hof, Mol, van der Boom, van der Zee, Frants, Hofker and Havekes12). Thus, whilst females develop profound hypercholesterolaemia in response to cholesterol in the diet, the males are largely unaffected. Interestingly among humans carrying the same Leiden mutation, dysbetalipoproteinaemia is seen in both sexes(Reference de Knijff, van den Maagdenberg, Stalenhoef, Leuven, Demacker, Kuyt, Frants and Havekes18).

Fig. 4 Area of intima exhibiting atherosclerotic lesions in female ApoE*3-Leiden mice. CON, maternal control diet; MLP, maternal low-protein diet. Data are means, with standard errors represented by vertical bars. For ApoE*3-Leiden mice: CON chow, n 5; CON atherogenic, n 8; MLP chow, n 6; MLP atherogenic, n 6. ANOVA indicated significant effects of maternal diet (P = 0·001), atherogenic diet (P < 0·001) and genotype (P < 0·001) and interactions of maternal diet with diet and genotype (P < 0·05). * Mean value was significantly different from CON animals fed the same postnatal diet (P < 0·05).

Animals exposed to a low-protein diet in utero exhibited dysregulated lipid metabolism resulting in increased levels of circulating plasma lipids. The liver is the major organ in the control of lipid homeostasis, and so, to assess the potential mechanisms that caused the profound hypercholesterolaemia and increased lesion area in the aortic arch, we employed a targeted DNA Microarray to analyse any changes in hepatic gene expression (Oligo GEArray® DNA Microarray: Mouse Atherosclerosis, SuperArray). Total RNA isolated from the livers of female ApoE*3-Leiden mice was used to synthesise cRNA, which was hybridised to a pathway-specific microarray profiling the expression of 113 key genes involved in atherosclerosis. Table 3 shows the expression of genes from this array significantly affected by either prenatal or postnatal dietary challenges. Criteria for acceptance as a candidate gene for further investigation were observation of expression above minimum threshold levels, a fold change ≥ 2, or fold change ≤  0·5, comparing maternal control and low-protein diets and significance at P < 0·05, derived from two-way ANOVA of four to six array measurements per group. Using this fold change approach we identified twelve genes which were significantly regulated by prenatal undernutrition and a postnatal atherogenic diet. Expression of all of these targets was suppressed in low-protein-exposed, compared with maternal control diet-exposed offspring. The majority of gene expression changes were to cytokines, growth factors and their receptors (nine out of twelve genes). The role of these genes in the liver in relation to atherosclerosis is questionable. Suppressed expression of the LDLr and retinoid X receptor in low-protein-exposed livers was of greater interest, given their established roles in the hepatic metabolism of cholesterol and fatty acids(Reference Desvergne, Michalik and Wahli19, Reference Wouters, Shiri-Sverdlov, van Gorp, van Bilsen and Hofker20).

Table 3 Microarray analysis of changes in gene expression with maternal protein restriction and atherogenic diet in livers from female ApoE*3-Leiden mice (fold changes)

(Mean values for four to six observations per group)

Given the observed association between plasma cholesterol concentration and the degree of atherosclerosis noted in the mice, we chose the LDLr as a candidate for further investigation following the microarray results. The LDLr is a cell-surface receptor responsible for the endocytosis of cholesterol-rich LDL. The LDLr recognises apoB100 on LDL particles, apoE on chylomicron remnants and VLDL particles. LDL is directly involved in the pathogenesis of atherosclerosis due to the accumulation of LDL-cholesterol in the blood(Reference Hobbs, Brown and Goldstein21). Microarray analysis revealed a significant interactive effect of prenatal protein restriction and the postnatal atherogenic diet on LDLr gene expression (mRNA expression down-regulated by 66 % in low-protein-exposed mice; P = 0·032). This result was partly verified by quantitative real-time PCR analysis of LDLr gene expression in the livers of female ApoE*3-Leiden mice (P = 0·05; Fig. 5 (a)). Although there was no significant interaction between pre- and postnatal dietary influences observed, there was a trend towards decreased LDLr mRNA expression in the animals with increased atherosclerosis that approached statistical significance (P = 0·058). To further elucidate possible mechanisms that could contribute to the elevated plasma cholesterol concentrations, we also investigated changes in mRNA expression of two other members of the LDLr family of lipoprotein receptors, which were not included on the targeted DNA microarray; LDLr-related protein 1 (LRP-1) and VLDL receptor (VLDLr), as shown in Fig. 5 (a). Both of these latter receptors are important for the metabolism of ApoE-containing, TAG-rich lipoproteins. There was no significant effect of prenatal or postnatal dietary manipulations on VLDLr mRNA expression in the liver. There was, however, a significant interactive effect of protein restriction during pregnancy and postnatal atherogenic diet on expression of liver LRP-1 mRNA (P = 0·009), which was reduced in animals exposed to a protein-restricted diet in utero, particularly in those fed a chow diet postnatally.

Fig. 5 RT-PCR quantification of hepatic mRNA levels in female ApoE*3-Leiden mice. (a) Relative mRNA levels of liver LDL receptor (LDLr), LDLr-related protein 1 (LRP-1) and VLDL receptor (VLDLr). (b) Relative mRNA levels of liver sterol regulatory element-binding protein (SREBP)-2 and SREBP-1c. (□), Maternal control diet (CON); (■), maternal low-protein diet (MLP); AU, arbitrary units. Data were normalised to the geometric mean of four housekeeping genes and are shown as means, with standard errors represented by vertical bars. For ApoE*3-Leiden mice: CON chow, n 5; CON atherogenic, n 7; MLP chow, n 5; MLP atherogenic, n 6. Mixed-model analysis indicated significant effects of maternal diet on LDLr (P = 0·05), SREBP-1c (P = 0·009) and LRP-1 (P = 0·009), of atherogenic diet on LDLr (P = 0·042) and SREBP-1c (P = 0·035) and interactions of maternal diet with atherogenic diet on SREBP-1c (P = 0·005) and LRP-1 (P = 0·009). * Mean value was significantly different from CON animals fed the same postnatal diet (P < 0·05).

Sterol regulatory element-binding proteins (SREBP) are transcription factors with a pivotal role in the regulation of genes involved in lipid and lipoprotein metabolism(Reference Brown and Goldstein22). Of the three isoforms expressed, SREBP-1c and SREBP-2 are the predominant forms in liver. SREBP-2 has been shown to regulate the majority of enzymes involved in the cholesterol synthetic pathway(Reference Horton, Shimomura, Brown, Hammer, Goldstein and Shimano23). Previous studies suggest that SREBP-2 is a primary regulator of LDLr gene expression(Reference Hua, Yokoyama, Wu, Briggs, Brown, Goldstein and Wang24) and that SREBP1c may be a target for programming by maternal protein restriction(Reference Erhuma, Salter, Sculley, Langley-Evans and Bennett16). We measured the gene expression of all three SREBP isoforms in the liver. These genes were not present on the DNA microarray (Table 1, Fig. 5 (b)). There was no significant effect of either prenatal protein restriction or postnatal atherogenic diet on either SREBP-1a (data not shown) or SREBP-2 (Fig. 5 (b)). The expression of SREBP1c mRNA in liver was significantly lower in mice exposed to the low-protein diet in utero and fed chow in postnatal life, but similar in both groups of offspring fed the atherogenic diet (interaction of pre- and postnatal diet; P = 0·005). Quantitative real-time PCR confirmed that there was no significant effect of prenatal or postnatal diets on mouse or human ApoE mRNA expression (data not shown). Importantly, it can be concluded that the increased atherosclerosis noted in ApoE*3-Leiden mice exposed to the low-protein diet in utero was not a result of programming of increased expression of the transgene.

Discussion

The key finding of the present study is that the feeding of a maternal low-protein diet programmes cholesterol metabolism and/or transport in the female atherosclerosis-prone ApoE*3-Leiden mouse. These metabolic changes appeared to be directly linked to the formation of a greater area of atherosclerotic lesions within the aortic arch. These findings are of major importance, as this is the first demonstration using an animal model that maternal undernutrition, as opposed to overnutrition(Reference Napoli, D'Armiento, Mancini, Postiglione, Witztum, Palumbo and Palinski5, Reference Napoli and Palinski6), can programme the outcome of CVD, as opposed to simply cardiovascular risk factors. As such the study provides evidence to support Barker's developmental origins of adult disease hypothesis(Reference Barker, Winter, Osmond, Margetts and Simmonds2).

The mechanisms that link the maternal diet to development of atherosclerosis are, as yet, not well understood. It is clear from the present study that the programming of atherosclerosis and associated changes in lipid profile are specific metabolic and physiological effects of the low-protein diet. There was no impact of the low-protein diet upon litter size, upon the male:female ratio, the wild-type:transgenic mice ratio or postnatal survival. This allows us to rule out effects of protein undernutrition upon intra-uterine or perinatal survival as drivers of later responses to the atherogenic diet. We also noted that the low-protein-exposed mice appeared to have better growth to weaning and were slightly fatter than offspring of mice fed the control diet in pregnancy. In the present study offspring were not weighed at birth in order to avoid disturbing the suckling mothers. Although the study lacks these important data, we would assert that our findings are unlikely to be the result of undernutrition followed by catch-up growth and are instead due to specific mechanisms impacting on lipid metabolism and transport. It has consistently been shown that exposure to moderate protein restriction during pregnancy (9 % by weight) results in low–normal birth weight in rats(Reference Langley and Jackson10, Reference Langley-Evans, Phillips and Jackson25, Reference Langley-Evans, Welham, Sherman and Jackson26). The finding of similar patterns of hepatic gene expression in these mice and in rats(Reference Erhuma, Salter, Sculley, Langley-Evans and Bennett16) following exposure to low-protein diets in utero suggests that species differences have little impact upon the programmed responses that follow protein undernutrition in rodent pregnancy.

The present study has attempted to clarify potential mechanisms that result in the increased concentrations of plasma cholesterol and the degree of atherosclerotic injury. Certainly there appears to be fetal programming of cholesterol metabolism, as the low-protein-exposed mice exhibited a greater degree of hypercholesterolaemia in response to the atherogenic diet. Correlations and regression analysis indicated that plasma cholesterol concentrations were directly related to the extent of atherosclerosis (P < 0·001). Our microarray studies indicated a potential role for the LDLr, although this was not entirely confirmed by quantitative PCR. Follow-up studies were suggestive of a role for another member of the LDLr family, LRP-1, and transcription factors that regulate lipoprotein metabolism in mediating the greater extent of disease. The LDLr and LRP-1 have well-established hepatic roles in the removal of pro-atherogenic lipoproteins from the plasma(Reference Rohlmann, Gotthardt, Hammer and Herz27). A step-wise linear regression model suggested that although changes in LDLr, LRP-1 and SREBP-1c mRNA expression in the liver were not directly associated with lesion area, LRP-1 expression was significantly related to plasma cholesterol concentrations (P = 0·027). This suggests that changes in hepatic gene expression in response to maternal protein restriction, particularly that of LRP-1, modulated the circulating levels of cholesterol, which in turn drove the increase in atherosclerosis. Loss of LRP-1 expression in the livers of mice lacking expression of the LDLr leads to the accumulation of cholesterol-rich lipoproteins in the plasma(Reference Rohlmann, Gotthardt, Hammer and Herz27). We noted under-expression of the LDLr and suppression of LRP-1 in the livers of low-protein-exposed mice, which also displayed a hyperlipidaemic plasma (lipid) profile. We hypothesise that the programming effects of the low-protein diet upon hepatic gene expression observed in the chow-fed animals may represent the baseline phenotype against which the atherogenic diet exerts disease-inducing effects. Whilst mice fed an atherogenic diet postnatally showed few significant differences between control and low-protein-exposed offspring, this is likely to reflect adaptations to 3 months of consuming a diet with a higher fat content. Further studies that consider a time course of responses to the atherogenic diet will be necessary to test this hypothesis, as gene expression measurements were only made at 16 weeks of age, after 12 weeks of feeding the postnatal diets. Given that the mRNA analyses provide only preliminary evidence of likely mechanisms, it would also be desirable to confirm changes in gene expression at the protein level.

We have previously shown in rats that many aspects of lipid metabolism, including expression of SREBP1c, are programmed by fetal protein restriction, and that plasma total cholesterol is elevated in older female offspring(Reference van Vlijmen, van 't Hof, Mol, van der Boom, van der Zee, Frants, Hofker and Havekes12). Other studies have suggested that maternal hypercholesterolaemia during pregnancy may programme atherosclerosis in the offspring of rabbits and LDLr knockout mice(Reference Napoli, D'Armiento, Mancini, Postiglione, Witztum, Palumbo and Palinski5, Reference Napoli and Palinski6, Reference Napoli, Witztum, Calara, de Nigris and Palinski28, Reference Napoli, de Nigris, Welch, Calara, Stuart, Glass and Palinski29). These studies provide important information about the mechanisms that link maternal overnutrition to the development of atherosclerosis in the developing fetus. It is unlikely that the undernutrition experienced during pregnancy by the mice in the present study would programme disease through the same mechanisms, since all mothers used within the study were of the wild-type C57BL/6 background strain which are relatively resistant to the development of lipid abnormalities, even when fed a diet rich in cholesterol and saturated fat (see Fig. 3). It is also unlikely that a mild–moderate restriction of protein against a 10 % maize oil diet containing no cholesterol would impact upon maternal plasma lipid profiles. However, we do acknowledge that one of the limitations of the present study was that no measurements were made of the maternal metabolic profile whilst consuming the low-protein diet. It would be of considerable interest to test whether this diet could modify lipid profiles and mediate an increased risk of atherosclerosis in the offspring through the same mechanism as noted in the rabbit and LDLr models. It should be noted, however, that our experience from studies of pregnant rats fed the same diet is that TAG and total cholesterol concentrations do not change with low protein feeding (S Engeham and SC Langley-Evans, unpublished results).

We have shown that the development of atherosclerosis is dependent on the interaction of genotype, prenatal diet and postnatal diet. This highlights the importance of gene–nutrient interactions at very early stages of life in the aetiology of disease, and indicates that the nature of those interactions influences the responses made to dietary challenges at later stages. This is the first study to demonstrate, experimentally, that undernutrition during fetal life can determine the risk of developing atherosclerosis in adulthood. As such it provides strong support for the developmental origins of health and disease hypothesis(Reference Gluckman and Hanson1, Reference Langley-Evans7). It is important to note that within the study we only examined the effects of a single level of protein restriction upon the development of atherosclerosis. Further studies will need to examine whether there is a linear dose–response relationship, or whether as with hypertension in rats subject to protein restriction, there is a simple threshold at which programmed responses occur(Reference Langley and Jackson10). The ApoE*3-Leiden mouse is a unique resource in that the postnatal diet rich in cholesterol is an absolute requirement for the appearance of the atherosclerotic phenotype. This mirrors the aetiology of human atherosclerosis and as such makes the ApoE*3-Leiden mouse an ideal model for further explanation of the mechanistic basis of fetal programming. Given that a high proportion of adults in countries currently undergoing economic and nutritional transition will have been exposed to suboptimal nutrition in utero, these findings may have major implications for global public health.

Acknowledgements

We thank L. Havekes of TNO Pharma, Leiden, The Netherlands for supplying the original breeding stock of ApoE*3-Leiden mice and for permission to carry out the study. The expert technical assistance of R. Plant and S. Kirkland is acknowledged. The present study was supported by a grant from the Biotechnology and Biological Sciences Research Council (to A. M. S. and S. C. L.-E.). There are no conflicts of interest to disclose. Z. Y., E. J. T., S. C. L.-E. and A. M. S. contributed equally to the present study. Z. Y. performed the animal feeding trials and assessed atherosclerotic lesions. E. J. T. performed the molecular analyses, DNA microarrays and statistical analyses. S. C. L.-E. and A. M. S. designed the experiments and performed statistical analyses. E. J. T., S. C. L.-E. and A. M. S. wrote the paper. All authors discussed the results and commented on the manuscript.

References

1Gluckman, PD & Hanson, MA (2004) Living with the past: evolution, development, and patterns of disease. Science 305, 17331736.CrossRefGoogle ScholarPubMed
2Barker, DJ, Winter, PD, Osmond, C, Margetts, B & Simmonds, SJ (1989) Weight in infancy and death from ischaemic heart disease. Lancet ii, 577580.CrossRefGoogle Scholar
3Eriksson, J, Forsen, T, Tuomilehto, J, Osmond, C & Barker, DJ (2001) Size at birth, childhood growth and obesity in adult life. Int J Obesity 25, 735740.CrossRefGoogle ScholarPubMed
4Barker, DJP, Gluckman, PD, Godfrey, KM, Harding, JE, Owens, JA & Robinson, JS (1993) Fetal nutrition and cardiovascular disease in adult life. Lancet 341, 938941.CrossRefGoogle ScholarPubMed
5Napoli, C, D'Armiento, FP, Mancini, FP, Postiglione, A, Witztum, JL, Palumbo, G & Palinski, W (1997) Fatty streak formation occurs in human fetal aortas and is greatly enhanced by maternal hypercholesterolemia. Intimal accumulation of low density lipoprotein and its oxidation precede monocyte recruitment into early atherosclerotic lesions. J Clin Invest 100, 26802690.CrossRefGoogle ScholarPubMed
6Napoli, C & Palinski, W (2001) Maternal hypercholesterolemia during pregnancy influences the later development of atherosclerosis: clinical and pathogenic implications. Eur Heart J 22, 49.CrossRefGoogle ScholarPubMed
7Langley-Evans, SC (2006) Developmental programming of health and disease. Proc Nutr Soc 65, 97105.CrossRefGoogle ScholarPubMed
8van den Maagdenberg, AMJM, Hofker, MH, Krimpenfort, PJA, de Bruijn, I, van Vlijmen, B, van der Boom, H, Havekes, LM & Frants, RR (1993) Transgenic mice carrying the Apolipoprotein E3-Leiden gene exhibit hyperlipoproteinemia. J Biol Chem 268, 1054010545.CrossRefGoogle ScholarPubMed
9Groot, PH, van Vlijmen, BJ, Benson, GM, Hofker, MH, Schiffelers, R, Vidgeon-Hart, M & Havekes, LM (1996) Quantitative assessment of aortic atherosclerosis in APOE*3 Leiden transgenic mice and its relationship to serum cholesterol exposure. Arterioscl Thromb Vasc 16, 926933.CrossRefGoogle ScholarPubMed
10Langley, SC & Jackson, AA (1994) Increased systolic blood pressure in adult rats induced by fetal exposure to maternal low protein diets. Clin Sci (Lond) 86, 217222.CrossRefGoogle ScholarPubMed
11Hogan, B, Costantini, F & Lacy, E (1986) Manipulating the Mouse Embryo: a Laboratory Manual. Cold Spring Harbor, NY: Cold Spring Harbor Laboratory Press.Google Scholar
12van Vlijmen, BJ, van 't Hof, HB, Mol, MJ, van der Boom, H, van der Zee, A, Frants, RR, Hofker, MH & Havekes, LM (1996) Modulation of very low density lipoprotein production and clearance contributes to age- and gender-dependent hyperlipoproteinemia in Apolipoprotein E3-Leiden transgenic mice. J Clin Invest 97, 11841192.CrossRefGoogle ScholarPubMed
13Paigen, B, Morrow, A, Holmes, PA, Mitchell, D & Williams, RA (1987) Quantitative assessment of atherosclerotic lesions in mice. Atherosclerosis 68, 231240.CrossRefGoogle ScholarPubMed
14Vandesompele, J, De Preter, K, Pattyn, F, Poppe, B, Van Roy, N, De Paepe, A & Speleman, F (2002) Accurate normalisation of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 3, Research0034.1Research0034.11.CrossRefGoogle ScholarPubMed
15Festing, MF (2006) Design and statistical methods in studies using animal models of development. ILAR J 47, 514.CrossRefGoogle ScholarPubMed
16Erhuma, A, Salter, AM, Sculley, DV, Langley-Evans, SC & Bennett, AJ (2007) Prenatal exposure to a low-protein diet programs disordered regulation of lipid metabolism in the aging rat. Am J Physiol 292, E1702E1714.Google ScholarPubMed
17Erhuma, A, Bellinger, L, Langley-Evans, SC & Bennett, AJ (2007) Prenatal exposure to undernutrition and programming of responses to high-fat feeding in the rat. Br J Nutr 98, 517524.CrossRefGoogle ScholarPubMed
18de Knijff, P, van den Maagdenberg, AM, Stalenhoef, AF, Leuven, JA, Demacker, PN, Kuyt, LP, Frants, RR & Havekes, LM (1991) Familial dysbetalipoproteinemia associated with Apolipoprotein E3-Leiden in an extended multigeneration pedigree. J Clin Invest 88, 643655.CrossRefGoogle Scholar
19Desvergne, B, Michalik, L & Wahli, W (2006) Transcriptional regulation of metabolism. Physiol Rev 86, 465514.CrossRefGoogle ScholarPubMed
20Wouters, K, Shiri-Sverdlov, R, van Gorp, PJ, van Bilsen, M & Hofker, MH (2005) Understanding hyperlipidemia and atherosclerosis: lessons from genetically modified ApoE and LDLr mice. Clin Chem Lab Med 43, 470479.CrossRefGoogle ScholarPubMed
21Hobbs, HH, Brown, MS & Goldstein, JL (1993) Molecular genetics of the LDL receptor gene in familial hypercholesterolemia. Hum Mutat 1, 445466.CrossRefGoogle Scholar
22Brown, MS & Goldstein, JL (1997) The SREBP pathway: regulation of cholesterol metabolism by proteolysis of a membrane-bound transcription factor. Cell 89, 331340.CrossRefGoogle ScholarPubMed
23Horton, JD, Shimomura, I, Brown, MS, Hammer, RE, Goldstein, JL & Shimano, H (1996) Activation of cholesterol synthesis in preference to fatty acid synthesis in liver and adipose tissue of transgenic mice overproducing sterol regulatory element-binding protein-2. J Clin Invest 101, 23312339.CrossRefGoogle Scholar
24Hua, X, Yokoyama, C, Wu, J, Briggs, MR, Brown, MS, Goldstein, JL & Wang, X (1993) SREBP-2, a second basic-helix-loop-helix-leucine zipper protein that stimulates transcription by binding to a sterol regulatory element. Proc Natl Acad Sci U S A 90, 1160311607.CrossRefGoogle ScholarPubMed
25Langley-Evans, SC, Phillips, GJ & Jackson, AA (1994) In utero exposure to maternal low protein diets induces hypertension in weanling rats, independently of maternal blood pressure changes. Clin Nutr 13, 319324.CrossRefGoogle ScholarPubMed
26Langley-Evans, SC, Welham, SJ, Sherman, RC & Jackson, AA (1996) Weanling rats exposed to maternal low-protein diets during discrete periods of gestation exhibit differing severity of hypertension. Clin Sci 91, 607615.CrossRefGoogle ScholarPubMed
27Rohlmann, A, Gotthardt, M, Hammer, RE & Herz, J (1998) Inducible activation of hepatic LRP gene by cre-mediated recombination confirms role of LRP in clearance of chylomicron remnants. J Clin Invest 101, 689695.CrossRefGoogle Scholar
28Napoli, C, Witztum, JL, Calara, F, de Nigris, F & Palinski, W (1999) Maternal hypercholesterolemia enhances atherogenesis in normocholesterolemic rabbits, which is inhibited by antioxidant or lipid-lowering intervention during pregnancy: an experimental model of atherogenic mechanisms in human fetuses. Circ Res 87, 946952.CrossRefGoogle Scholar
29Napoli, C, de Nigris, F, Welch, JS, Calara, FB, Stuart, RO, Glass, CK & Palinski, W (2002) Maternal hypercholesterolemia during pregnancy promotes early atherogenesis in LDL receptor-deficient mice and alters aortic gene expression determined by microarray. Circulation 105, 13601367.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Full list of genes that were included in the microarray analysis

Figure 1

Table 2 Probe and primer sequences for real-time polymerase chain reaction studies

Figure 2

Fig. 1 Body weight at weaning (a) and at cull after 3 months of feeding chow or atherogenic diet (b). CON, maternal control diet; MLP, maternal low-protein diet; (□), female wild-type C57Bl/6J mice; (■), female transgenic ApoE*3-Leiden mice. Data are means, with standard errors represented by vertical bars. For wild-type C57Bl/6J mice: CON chow, n 10; CON atherogenic, n 10; MLP chow, n 11; MLP atherogenic, n 13. For ApoE*3-Leiden mice: CON chow, n 5; CON atherogenic, n 8; MLP chow, n 6; MLP atherogenic, n 6. At weaning there was an effect of maternal diet (P = 0·002). At the end of the trial there was an effect of maternal diet (P = 0·002). * Mean value was significantly different from CON animals of the same genotype and fed the same postnatal diet (P < 0·05).

Figure 3

Fig. 2 Total perirenal and gonadal fat depot weight corrected for body weight to provide an indicator of relative fat depot size. CON, maternal control diet; MLP, maternal low-protein diet; (□), female wild-type C57Bl/6J mice; (■), female transgenic ApoE*3-Leiden mice. Data are means, with standard errors represented by vertical bars. For wild-type C57Bl/6J mice: CON chow, n 10; CON atherogenic, n 10; MLP chow, n 11; MLP atherogenic, n 13. For ApoE*3-Leiden mice: CON chow, n 5; CON atherogenic, n 8; MLP chow, n 6; MLP atherogenic, n 6. There was an effect of maternal diet (P = 0·023). There was an interaction of maternal and postnatal diets (P = 0·002). * Mean value was significantly different from CON animals of the same genotype and fed the same postnatal diet (P < 0·05).

Figure 4

Fig. 3 Cholesterol (a) and TAG (b) concentrations. CON, maternal control diet; MLP, maternal low-protein diet; (□), female wild-type C57Bl/6J mice; (■), female transgenic ApoE*3-Leiden mice. Data are means, with standard errors represented by vertical bars. For wild-type C57Bl/6J mice: CON chow, n 10; CON atherogenic, n 10; MLP chow, n 11; MLP atherogenic, n 13. For ApoE*3-Leiden mice: CON chow, n 5; CON atherogenic, n 8; MLP chow, n 6; MLP atherogenic, n 6. ANOVA indicated significant effects of maternal diet (P < 0·001), atherogenic diet (P < 0·001) and genotype (P < 0·001) and interactions of maternal diet with diet and genotype (P < 0·05) on both variables. * Mean value was significantly different from CON animals of the same genotype and fed the same postnatal diet (P < 0·05).

Figure 5

Fig. 4 Area of intima exhibiting atherosclerotic lesions in female ApoE*3-Leiden mice. CON, maternal control diet; MLP, maternal low-protein diet. Data are means, with standard errors represented by vertical bars. For ApoE*3-Leiden mice: CON chow, n 5; CON atherogenic, n 8; MLP chow, n 6; MLP atherogenic, n 6. ANOVA indicated significant effects of maternal diet (P = 0·001), atherogenic diet (P < 0·001) and genotype (P < 0·001) and interactions of maternal diet with diet and genotype (P < 0·05). * Mean value was significantly different from CON animals fed the same postnatal diet (P < 0·05).

Figure 6

Table 3 Microarray analysis of changes in gene expression with maternal protein restriction and atherogenic diet in livers from female ApoE*3-Leiden mice (fold changes)(Mean values for four to six observations per group)

Figure 7

Fig. 5 RT-PCR quantification of hepatic mRNA levels in female ApoE*3-Leiden mice. (a) Relative mRNA levels of liver LDL receptor (LDLr), LDLr-related protein 1 (LRP-1) and VLDL receptor (VLDLr). (b) Relative mRNA levels of liver sterol regulatory element-binding protein (SREBP)-2 and SREBP-1c. (□), Maternal control diet (CON); (■), maternal low-protein diet (MLP); AU, arbitrary units. Data were normalised to the geometric mean of four housekeeping genes and are shown as means, with standard errors represented by vertical bars. For ApoE*3-Leiden mice: CON chow, n 5; CON atherogenic, n 7; MLP chow, n 5; MLP atherogenic, n 6. Mixed-model analysis indicated significant effects of maternal diet on LDLr (P = 0·05), SREBP-1c (P = 0·009) and LRP-1 (P = 0·009), of atherogenic diet on LDLr (P = 0·042) and SREBP-1c (P = 0·035) and interactions of maternal diet with atherogenic diet on SREBP-1c (P = 0·005) and LRP-1 (P = 0·009). * Mean value was significantly different from CON animals fed the same postnatal diet (P < 0·05).