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Diet and deprivation in pregnancy: a rat model to investigate the effects of the maternal diet on the growth of the dam and its offspring

Published online by Cambridge University Press:  05 October 2023

Halil Dasgin
Affiliation:
The Rowett Institute of Nutrition and Health, The University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK
Susan M. Hay
Affiliation:
The Rowett Institute of Nutrition and Health, The University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK
William D. Rees*
Affiliation:
The Rowett Institute of Nutrition and Health, The University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK
*
*Corresponding author: Dr W. D. Rees, email [email protected]
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Abstract

The offspring of women in the poorest socio-economic groups in Western societies have an increased risk of developing non-communicable disease in adult life. Deprivation is closely related to the consumption of a diet with an excess of energy (sugar and fat), salt and a shortage of key vitamins. To test the hypothesis that this diet adversely affects the development and long-term health of the offspring, we have formulated two rodent diets, one with a nutrient profile corresponding to the diet of pregnant women in the poorest socio-economic group (DEP) and a second that incorporated current UK recommendations for the diet in pregnancy (REC). Female rats were fed the experimental diets for the duration of gestation and lactation and the offspring compared with those from a reference group fed the AIN-93G diet. The growth trajectory of DEP and REC offspring was reduced compared with the AIN-93G. The REC offspring diet had a transient increase in adipose reserves at weaning, but by 30 weeks of age the body composition of all three groups was similar. The maternal diet had no effect on the homoeostatic model assessment index or the insulin tolerance of the offspring. Changes in hepatic gene expression in the adult REC offspring were consistent with an increased hepatic utilisation of fatty acids and a reduction in de novo lipogenesis. These results show that despite changes in growth and adiposity maternal metabolic adaptation minimises the adverse consequences of the imbalanced maternal diet on the metabolism of the offspring.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Nutrition Society

Inadequate nutrition in early life has been linked to an increased risk of the offspring developing metabolic, cardiovascular and other non-communicable diseases in adult life(Reference Hanson and Gluckman1). Data from historical events (e.g. Dutch Hunger Winter, The Leningrad Siege)(Reference Stanner, Bulmer and Andres2,Reference Roseboom, de Rooij and Painter3) or birth cohorts dating from the 1920s and 1930s (e.g. Helsinki Birth Cohorts)(Reference Forsen, Eriksson and Tuomilehto4,Reference Osmond, Barker and Winter5) suggest that inadequate maternal nutrition due to starvation or poverty was a common theme associated with poor long-term health(Reference Barker6,Reference Godfrey and Barker7) . However, over the last 75 years there have been big changes in human diets, especially in developed Western nations, where the prevalence of famine has diminished as changes in agricultural practices and industrial development have increased food production. As a result, the diet of those in the poorest socio-economic groups now contains low-cost, energy-dense, processed food, which is poor in micronutrients(Reference Cordain, Eaton and Sebastian8,Reference Haggarty, Campbell and Duthie9) . These diets provide excessive amounts of energy, in the form of fat and refined sugar, but at the same time still suffer from multiple mild-micronutrient deficiencies(10,Reference Parisi, Laoreti and Cetin11) . This imbalanced diet creates the phenomenon of hidden malnutrition(12) and may be an important factor in the relationship between social deprivation and an increased risk of ill health in adult life.

Animal studies have proven valuable in investigating the mechanisms underlying the phenomenon known as the developmental origins of health and disease. Restricted fetal and neonatal growth caused by deficiencies of individual key nutrients in the maternal diet (reviewed by(Reference Ainge, Thompson and Ozanne13Reference Williams, Seki and Vuguin15)) leads to a range of adverse outcomes including changes in the offspring’s insulin action(Reference Fernandez-Twinn, Wayman and Ekizoglou16,Reference Berends, Dearden and Tung17) , appetite(Reference Wargent, Martin-Gronert and Cripps18) and adiposity(Reference Butruille, Marousez and Pourpe19,Reference Ozanne, Dorling and Wang20) . Similar outcomes have also been reported when animals are fed diets containing excess nutrients, including high-fat diets(Reference Cerf and Herrera21,Reference Ashino, Saito and Souza22) or high-fat diet with additional salt(Reference Gray, Harrison and Segovia23,Reference Segovia, Vickers and Harrison24) , sucrose(Reference Kirk, Samuelsson and Argenton25,Reference Pereira, Fonseca and Campbell26) or sweetened condensed milk(Reference Samuelsson, Matthews and Argenton27,Reference Blackmore, Niu and Fernandez-Twinn28) . However, these approaches fail to emulate the real-life situation and have been criticised for creating extreme and unrealistic imbalances of individual nutrients(Reference Speakman29). Additionally, these models do not address the complex interactions between macro- and micro-nutrients. For example, the daily requirement of thiamine is related to energy metabolism, especially the utilisation of carbohydrate, and as a result the requirement changes depending on the carbohydrate content of the diet(Reference Rees30,Reference Davis and Icke31) . Although severe micronutrient deficiency is rare in Western societies, mild deficiency is common(Reference Ramakrishnan, Goldenberg and Allen32) and it is possible that the oversupply of macronutrients, coupled with multiple mild micronutrient deficiencies, may be as serious as a major deficiency or excess of a single nutrient.

The aim of this study was to develop a rodent diet, which reflected the imbalanced diet eaten by pregnant women in deprived Western populations and to use this in an animal model to investigate the long-term consequences for the offspring. The semi-synthetic diet used in these experiments was formulated using information on the diet of pregnant women from the most socio-economically deprived group in Scotland (as defined by the Scottish Index of Multiple Deprivation) described in the study of Haggarty et al.(Reference Haggarty, Campbell and Duthie9) By using a semi-synthetic diet, we aimed to overcome the difficulties posed by the inherrent variability of diets based on natural products. A semi-synthetic diet also takes into account the differences in metabolic rate between humans and rodents by adjusting the proportions of micronutrients using the principles of energy density(Reference Newmark33,Reference Hintze, Benninghoff and Ward34) . As a comparison, we also formulated a second semi-synthetic rat diet, which broadly followed the current UK recommendations for diet in pregnancy, that is, with lower levels of saturated fat, free sugars and salt, increased quantities of PUFA and the recommended micronutrient profile. There are a number of key differences between these two diets and the AIN-93G diet, widely used in experiments with rats and mice, so a third group of animals fed this diet was included as a reference population. This study reports the growth and metabolism of the offspring of dams fed the deprived (DEP), recommended (REC) and AIN-93G (AIN) diets for the duration of gestation and lactation.

Methods

Diet formulation

The macronutrient and micronutrient composition of the experimental diets is shown in Tables 1 and 2.

Table 1. Diet formula

* The AIN-93G diet used vitamin and mineral pre-mixes described elsewhere(Reference Reeves72).

Table 2. Vitamin and mineral pre-mix formula

The macronutrient composition of the deprived rodent diet (DEP) was the same as that of women in the most deprived group (decile 10) of the Scottish Index of Multiple Deprivation, containing by weight 16·4 % protein, 17·8 % fat and 59·8 % carbohydrate(Reference Haggarty, Campbell and Duthie9). Protein was provided as a mixture of casein and wheat gluten in the ratio 3:2, to reflect the proportion of animal-based protein (60·3 % of total protein intake) in typical human diets(Reference Beverley, David and Kerry35). Since casein is poor in sulphur amino acids, an additional 15 mg L-cystine was added per g casein in the diet. Carbohydrates were partitioned between sucrose (free sugar) and a mixture of maize starch and maltodextrin, the latter added to improve the pelleting qualities of the diet. A variety of different fat sources (soyabean oil, anhydrous milk fat, olive oil, lard, beef tallow, maize oil) were used in the diet to mimic the fatty acid profiles of the human diet. The proportions of each component were determined empirically using a Microsoft Excel spreadsheet, changing the quantities of each component until a total of 17·8 g of fat per 100 g of diet comprising 44·3 % SFA, 37·9 % MFA and 17·7 % PUFA was achieved.

The micronutrient content of the diet was based where possible on the data of Haggarty et al.(Reference Haggarty, Campbell and Duthie9) The quantities of each micronutrient were adjusted by following principles of nutrient density(Reference Newmark33,Reference Hintze, Benninghoff and Ward34) . As there was no information on the choline intakes of Scottish women, the choline content was chosen to reflect the lower value for the intake of American women, which was 260 mg/d(Reference Vennemann, Ioannidou and Valsta36). The final micronutrient composition of the diet is shown in Table 2.

A second experimental diet was formulated, incorporating the current advice of the UK Scientific Advisory Committee on Nutrition(37), namely that 50 % of the metabolisable energy should be derived from carbohydrates (no more than 5 % from free sugars), no more than 35 % of the daily energy should be from fats, with the remainder derived from protein. The total energy intake recommended for women aged 19–34 years is 9·1 MJ/d, increased by 0·8 MJ/d in the last trimester of pregnancy and a further 0·14 MJ/d during lactation. Practical considerations precluded the preparation of more than one experimental diet, and a single diet was formulated providing the equivalent of 9·94 MJ/d, that is, slightly more energy than recommended in the pre-mating and early gestation periods and slightly less during lactation. The fatty acid profile was adjusted to meet the recommendations(38) for fatty acids, namely that SFA, MUFA and PUFA should provide 11, 13 and 6·5 % of daily energy intakes and that in addition, linoleic acid and α-linolenic acid should provide at least 1 and 0·2 % of total energy, respectively. The micronutrient composition of the REC diet was based on the Reference Nutrient Intakes(38) for pregnant and lactating women aged between 19 and 50 years and adjusted for energy density. The choline content of the REC diet corresponded to the recommended adequate intake of 450 mg/d for pregnant women(39). Where there were no recommendations, values for the AIN-93G diet were used. The final composition of the REC diet is shown in Tables 1 and 2.

Animals

All experimental procedures were approved by the ethical review committee of the University of Aberdeen and conducted in accordance with the UK Animals (Scientific Procedures) Act, 1986. Animals were always provided with tap water and housed with an illumination photoperiod of 12L:12D in plastic cages on sawdust bedding under constant conditions of temperature and humidity.

The study was conducted with three separate batches of experimental animals with a total of sixty-six Female Hooded Lister Rats (Charles River UK Ltd Margate, Kent CT9 4LT). On arrival at approximately 10 weeks of age, animals were fed stock diets for an acclimatisation period of approximately 3 d. At the start of the experiment, animals were randomly assigned to one of the three experimental diets, which was fed ad libitum for 3 weeks to adapt them to the diet. At 16 d, during the adaptation period, the body composition of the dams was measured by MRI (EchoMRI) as described previously(Reference Lobley, Bremner and Holtrop40). The animals (body weights of 200–250 g) were then mated with normal males of the same strain. After mating animals continued to be fed the experimental diets throughout gestation. The subsequent allocation of the animals is shown in Table 3.

Table 3. Allocation of experimental animals

On gestation day 21, some animals were anaesthetised with isoflurane and killed by exsanguination. A sample of maternal blood was collected by cardiac puncture. Fetuses were weighed, killed by decapitation and a pooled sample of trunk blood was collected. After discarding the smallest and largest fetuses, four male and four female fetuses were chosen at random from each litter for further dissection. Tissues were frozen in liquid N2 and stored at −70°C prior to further analysis.

The remaining animals were allowed to give birth and within 48 h the litters were culled to eight pups, retaining, where possible, four males and four females from each litter. A small number of animals in each group failed to nurse their pups and were euthanised. Over the course of lactation, the dams continued to be fed the experimental diets ad libitum. Pups and dams were weighed daily until weaning. After post-natal day 16, food pellets were provided inside the cages to familiarise pups to the diet. On post-natal day, nineteen pups were removed from the dam and weaned onto the same experimental diets fed to the dam. At 26 d of age, the offspring were offered a mix containing equal quantities of the experimental diet and standard rat chow diet for 3 d before being weaned to standard chow diet (CRM, Special Diets Services).

Weaned pups were randomly allocated to group housing so that cages contained animals from all three maternal diet groups and fed standard rat chow diet (CRM, Special Diets Services) ad libitum for the remainder of the experiment. All offspring were weighed three times weekly. The body composition of the animals was measured by MRI. Blood samples were obtained from the tail vein on weeks 23, 28 and 29.

Food intake and activity

The activity and food intake of the offspring were assessed on two separate occasions. The first measurements were conducted when the offspring were between 4 and 6 weeks of age followed by a second set of observations between 11 and 14 weeks of age.

For the first series of observations, animals were individually housed for a 7-d period in instrumented observation cages (Phenotyper, Noldus). Due to a limited number of cages, animals were randomly assigned in small batches. Food consumption was measured daily. The movement of the animals was recorded by a video camera and subsequently analysed by EthoVision XT Software (Noldus).

For the second series of observations, offspring were individually housed in cages fitted with an IR monitor system to assess activity. Food and water consumption was measured over the first 4 d. On the fourth day and for a further 3 d, a sucrose preference test was conducted using a two-bottle choice procedure. In addition to the regular water bottle, the animals were offered a second bottle containing a 1 % (wt/vol) sucrose solution. During the sucrose preference test, bottles were counterbalanced across the cages to control for side preference. The amount of sucrose and water consumed each day was calculated in g.

Insulin tolerance test

Insulin tolerance tests were performed on the offspring at 29/30 weeks of age. Animals were fasted for 6 h, and a baseline blood sample (approximately 250 µl) was obtained by tail puncture and stored in a tube containing 3 µl of (15 %) EDTA. Insulin solution (0·75 mg/kg body weight) was administered by intraperitoneal injection. Over the following 90 min, a few drops of blood were taken from tail to measure blood glucose by the glucometer (AlphaTRAK, Abbott Laboratories). Animals continued to be monitored until blood glucose concentrations had recovered to normal levels. Data were plotted as change in glucose concentration over time, and the AUC was calculated using a trapezoidal function (Microsoft Excel).

Homoeostatic model assessment

Animals were fasted overnight, and a blood sample was taken by tail puncture the following morning. Homoeostatic model assessment (HOMA) index was calculated by the following formula: HOMA = (glucose (mmol/l) × insulin (µmg/ml))/22·5. Glucose was measured by the glucometer, and plasma insulin was measured by the ELISA (10-1250-01 Mercodia) following the manufacturer’s instructions. Insulin concentrations were determined using the standard curve.

Necroscopy

At 34–37 weeks of age, offspring were deeply anaesthetised with Euthatal (200 mg/ml sodium pentobarbital, Merial Animal Health) with a dose rate of 3 ml/kg body weight administered by intraperitoneal injection. Blood was collected by cardiac puncture prior to intracardial perfusion with 0·9 % NaCl solution to remove blood. Organs were removed, weighed and frozen in liquid N2. Samples were then stored at −70°C until analysis.

Gene expression

Total RNA was extracted from samples of liver using RNeasy Mini Kit (Qiagen). Samples of 200 ng total RNA were reverse transcribed using the TaqMan Reverse Transcription Reagents Kit (Applied Biosystems) primed with random hexamers. The levels of cDNA were measured using custom TaqMan™ Array Cards using TaqMan® Gene Expression Assays described in online Supplementary Table 1. The relative target quantity (Rq) was calculated using the Thermo Fisher Connect Dashboard Relative Quantification qPCR Software using 18s, GAPDH and YWHAZ as internal standards.

Statistics

Power analyses were conducted a priori using G * Power 3.1.9.4(Reference Faul, Erdfelder and Lang41). Birth weight was chosen as a primary outcome, and an effect size of 0·7 was calculated from the descriptive statistics of a previous study(Reference Maloney, Hay and Rees42). With an α level of 0·05, the total sample size required to achieve power of 0·8 was n 24 (3 groups of n 8). Calculations post hoc using the hypothesised effect size and the total sample size of 24 indicated that the actual power achieved in this study was 0·955.

Data are presented as means ± sem and analysed by ANOVA where group sizes were balanced. For logistical reasons animals were bred in three separate groups (experiments) and in some cases animals had to be further divided into separate batches for assessments, these factors together with the variability associated with animal breeding resulted in imbalanced group sizes. Data from imbalanced groups were analysed by linear mixed model (REML – Genstat 17th Edition); terms for experiment, litter size, sex, diet and diet–sex interaction formed the fixed model and dam formed the random model. If required, additional terms (weight at the start and batch) were added to the fixed model. These results are presented as predicted means ± sed.

Results

At the start of the experiment, there were no differences in the weight or body composition of the animals (P > 0·05, data not shown). Animals were fed the experimental diets for a 3 week adaptation period before mating and in this time the animals fed the REC diet gained the most weight (Table 4). At the end of the adaptation period, animals fed the REC diet had approximately 20 % more body fat compared with the animals fed the AIN diet. The weight gain and body fat content of animals fed the DEP diet was intermediate between those fed the AIN and REC diets. The animals fed the DEP diet consumed approximately 8 % less food than those fed the AIN and REC diets (Table 5) and their energy intake was not different from that of the AIN fed animals despite the higher energy content of the diet. In contrast, there was no decrease in food intake in the REC fed animals and this accounted for the differences in body fat at mating.

Table 4. Dam characteristics during gestation (Means values with their standard error of the means)

All values are mean ± SEM (pre-mating n 22 for all groups and gestation AIN n 19, DEP n 18 and REC n 18.

Data are compared by one-way ANOVA.

Values with unlike superscript within rows are significantly different (P < 0·05). n.s. = P > 0·05.

Table 5. Dam food intake in gestation and lactation (Means values with their standard error of the means)

All values are mean ± SEM (pre-mating n 22 for all groups; gestation AIN n 19, DEP n 18 and REC n 18 and for lactation AIN n 7, DEP n 9 and REC n 8).

Data are compared by one-way ANOVA.

Values with unlike superscript within rows are significantly different (P < 0·05).

n.s. = P > 0·05.

Following mating, animals in all three diet groups increased their food intake (Table 5) and in gestation week 1 consumed similar quantities of diet. As a result, the energy intake of the DEP and REC fed animals was higher than the group fed the AIN diet. Animals fed the DEP diet gained approximately 21 % more weight in the first week of gestation compared with those fed the AIN and REC diets (Table 4). However, as gestation progressed food intake fell and the total weight gain over the course of gestation was similar in all three diet groups.

The birth weight of the pups, litter size and sex ratios were similar in all three groups (Table 4). There were some subtle changes in the pattern of post-natal growth of the pups (Fig. 1(a)), with the pups of dams fed AIN gaining less weight between days 7 and 8 than those of the dams fed DEP and REC diets (P = 0·022); however, this was temporary and the pups in the AIN group then recovered and gained more weight between days 14 and 15 (P = 0·023).

Fig. 1. Growth in lactation. Mean body weight of pups (upper panel) and dam weight (lower panel) during the lactation phase. Closed circle AIN, closed triangle DEP and open circle REC. Error bars = SEM, AIN n 7, DEP n 9 and REC n 8 litters.

The food intake of the dams increased after they had given birth, with animals in all three groups having similar intakes in the first 2 weeks of lactation. In the third week of lactation, the AIN fed animals ate slightly more (Table 5). There was a tendency (P = 0·058) for energy intake to be higher in the DEP and REC fed animals during the first week after birth, but, thereafter, energy intakes were similar in all three groups. The body weight of the dams fed the DEP and REC diets decreased more than those fed the AIN diet (Fig. 1(b)) (repeated-measures ANOVA diet × time interaction P = 0·003).

There were no differences in the weight of the pups when they were weaned on post-natal day 19. A small number of male pups were killed on post-natal day 19 and dissected to measure organ weights (Table 6). The maternal diet did not change the weights of the liver, brain and kidneys; however, the hearts of pups from dams fed the REC diet were approximately 13 % heavier than those of pups from dams fed the DEP diet (P = 0·039). The epididymal fat pads of the pups from REC fed dams were also heavier than those of the pups from AIN fed animals with intermediate values for the DEP fed animals (P = 0·021).

Table 6. Body and organ weights of male pups at weaning

All values are mean ± sem (AIN n 6, DEP n 15, REC n 10).

Data are compared by one-way ANOVA.

Values with unlike superscript within rows are significantly different (P < 0·05).

n.s. = P > 0·05.

Post-natal growth and body composition of the offspring

After post-natal week 4, offspring from all three maternal diet groups were given ad libitum access to standard rat chow diet. At 4 weeks of age, there were no differences in the live weights of the offspring (Table 7); however, by 30 weeks of age, the weight of offspring in the DEP group was 6–8 % less than the offspring of dams fed the AIN diet. Similarly, the offspring of dams fed the REC diet weighed 9–12 % less than the animals in the AIN group. This decrease in live weight was matched by a corresponding decrease in the lean tissue mass (Table 7). At 4 weeks of age, the offspring of the REC group had the highest proportion of body fat, approximately 11 % higher than in the DEP group and approximately 19 % higher than in the AIN group (P < 0·001). However, this difference was transient and by 30 weeks of age animals in all three groups had similar body composition with no difference in fat as a proportion of body weight between the different maternal diet groups. Post-mortem measurements of organ weights at 37 weeks (online Supplementary Table 2) showed that the overall body weight was reflected in the absolute weights of the major organs. There were no differences in tissue weights expressed as proportions of body weight, indicating symmetrical growth of the organs in all three diet groups.

Table 7. Post-natal growth of the offspring

Data analysed by REML. Data are estimated means plus sed.

Numbers of animals are given in Table 3.

Values with unlike superscript within rows differ by more than 2× sed.

n.s. = P > 0·05.

Food intake and activity of the offspring

The ad libitum food intakes of the offspring were measured on two occasions, at 4–6 weeks of age and again at 11–14 weeks of age (Table 8). In the first period, between 4 and 6 weeks of offspring of the dams fed the REC diet ate less and gained less weight than those in the AIN and DEP groups. The differences were numerically more pronounced in the female offspring of REC fed dams, which consumed approximately 15 % less food and gained approximately 20 % less weight, compared with the males where the difference was approximately 5 %. When food intake was reassessed at 11–14 weeks of age (Table 8), both weight gain and food intake were similar in the offspring from all three maternal diet groups.

Table 8. Offspring food intake

Data analysed by REML.

Data are estimated means plus sed.

Numbers of animals are given in Table 3.

Values with unlike superscript within rows differ by more than 2× sed.

n.s. = P > 0·05.

The activity of the animals was measured at the same time as food intake by following movement via a camera placed over the cage (4–6 weeks) or by measuring breaks in an IR beam monitor (11–14 weeks). In both cases, there was no difference in the activity of animals from the different maternal diet groups or changes to the circadian pattern of activity.

When the adult animals were offered a choice of sucrose or water, the animals consumed more sucrose solution. However, there were no differences between the maternal diet groups in the absolute amount consumed or in the ratio of sucrose to water (Table 8).

Glucose homoeostasis in the offspring

Steady-state β cell function and insulin sensitivity in the offspring were assessed using the HOMA calculated from fasted blood samples taken at weeks 23, 28 and 29(Reference Antunes, Elkfury and Jornada43). Although there was some variation between the different batches of animals (Table 9) and between the male and female offspring, there were no differences due to the maternal diet. In addition, the animals were also subjected to an intraperitoneal insulin tolerance test at 29 weeks of age and the AUC is shown in Table 9. The results of the insulin tolerance test were comparable to the HOMA values and were similar for the three maternal diet groups.

Table 9. Glucose metabolism in the offspring

Data analysed by REML. Data are estimated means plus sed.

Numbers of animals are given in Table 3.

Values with unlike superscript within rows differ by more than 2× sed.

n.s. = P > 0·05.

Hepatic gene expression in the offspring

To evaluate de novo lipogenesis and β-oxidation, the expression of genes involved in fat metabolism was measured in the liver of the offspring at 37 weeks of age (Table 10). The abundance of the mRNA for acetyl CoA carboxylase (Acaca) was approximately 20 % higher in the livers of offspring from dams fed the DEP diet compared with those from dams fed the REC diet, whereas the abundance of fatty acid synthase (Fasn) was unchanged. The abundance of mRNA coding for liver-type carnitine palmitoyl CoA oxidase (Cpt1a) and acyl CoA oxidase (Acox1), involved in fatty acid oxidation, was unchanged. In addition to a nearly 20-fold difference in the expression of CD36 between males and females, there was also a 35–90 % increase in expression in the offspring of both sexes from REC fed dams compared with the offspring of dams fed the DEP diet. The expression of regulators in the PPAR family was unchanged by the maternal diet; however, expression of the Srebp-1c mRNA was approximately 20 % less in offspring of dams fed the REC diet compared with the offspring of DEP fed dams.

Table 10. Hepatic gene expression in the offspring (Means values with their standard error of the means

Expression calculated as relative quantity (Rq) compared with 18s, GAPDH and YWHAZ internal standards and given in arbitrary units.

Data analysed by two-way ANOVA.

Data are estimated means ± sem (n 6 for each group).

Values with unlike superscript within rows are significantly different (P < 0·05).

n.s. = P > 0·05.

Discussion

Rodents have been widely used to investigate the mechanisms linking obesity and maternal overnutrition to a subsequent increase in the risk of the offspring developing non-communicable diseases. However, it is challenging to create a reproducible experimental diet that effectively models the complex balance of macro- and micro-nutrients in human foods. Diets composed of natural products such as the cafeteria diet are unsuited to metabolic studies because animals self-select diet components with the result that each animal has a unique diet that differs from every other(Reference Moore44). Our aim was to create a diet prepared from purified components, eliminating this variability and also taking into account the higher metabolic rate of rodents by adjusting the micronutrient content to maintain the nutrient density(Reference Newmark33). This study shows that despite a persistent reduction in the lean tissue growth of the offspring of dams fed both the DEP and REC diets, these changes did not translate into impaired glycaemic control or to increases in adiposity in the adult offspring. There was however some evidence for changes in hepatic lipid metabolism, suggesting important differences in the long-term effects on lipid metabolism.

Inevitably, the formulation of a semi-synthetic diet requires some compromises. For example, in humans a large proportion of the animal protein is from meat, so ideally part of the protein source would have a digestibility and amino acid profile corresponding to that of meat. However, to the best of our knowledge there is no suitable purified meat protein available and dried meat products are not suitable as they are of variable composition and contain endogenous lipids and minerals. As a result, we chose to use casein, a milk protein, as the animal protein component of the diet. A similar approach was also taken for the plant-based protein component of the diet, with gluten chosen in preference to soya protein as the latter may contain phyto-oestrogens. The total fibre content of the DEP diet (3·3 % by weight) corresponds to the proportion of fibre recorded in the diet diaries; however, the patterns in the human diet are more diverse and will include soluble fibre types. Soluble and insoluble fibre are both reported to be beneficial to rats, and further studies are required to understand the importance of soluble fermentable fibres in high energy diets.

Analysis of the diets as prepared showed that the fatty acid profile was as expected, including the presence of trans-fatty acids, which are relatively abundant in poor quality diets(Reference Hutchinson, Rippin and Jewell45). Unlike the AIN diet, which did not contain detectable levels of trans-fatty acids, the DEP and REC diets, respectively, contained 0·12 g and 0·05 g/100 g of diet. In the case of the DEP diet, this correspond to 0·7 % of energy from trans-fatty acids and is comparable to the levels reported for humans.

The main feature of both the DEP and REC diets is their greater energy density compared with the commonly used AIN diet. Feeding pregnant rats high-sucrose(Reference Morahan, Leenaars and Boakes46) or cafeteria diets(Reference Vithayathil, Gugusheff and Ong47,Reference George, Draycott and Muir48) produces small but rather variable increases in the adiposity in the pups at weaning, suggesting that additional energy in the maternal diet is being transferred to the offspring. However, despite the DEP diet having a higher energy content, the proportion of fat as a percentage of body weight at weaning was comparable to that of pups from dams fed the AIN diet. In contrast, the weanlings of animals fed the REC diet, which also had a higher energy content than the AIN diet, was increased by approximately 20 %. Previous studies in rats(Reference Zambrano, Martínez-Samayoa and Rodríguez-González49) suggest that this additional body fat in the weanlings is derived from lipid accumulated during the early stages of gestation. Although both DEP and REC diets provide more energy than the AIN diet, the DEP fed animals reduced their food intake during the pre-mating period so that the accumulation of lipid was comparable to that of animals fed the AIN diet. Although dietary fat is an important regulator of food intake in rodents(Reference Hu, Wang and Yang50), the results suggest that additional interactions, possibly involving the differing fatty acid profiles, micronutrient composition or salt content, have differentially affected the regulation of food intake in this critical period.

The excess adiposity in the REC offspring was, however, short lived and had disappeared by 10 weeks of age. This was due to a transient decrease in food intake in the weeks immediately after weaning and once the excess fat in the REC animals had been lost, the offspring in all three groups went on to have similar proportions of fat to lean over the remainder of the experiment. The rat has a strong appetite control that regulates body composition(Reference Cohn and Joseph51) and a similar short-term decrease in food intake to normalise body composition has been reported in other models of maternal overfeeding(Reference Toop, Muhlhausler and O’Dea52). Systematic reviews of rodent studies have concluded that feeding obesogenic diets over the course of gestation and lactation had no effect on the appetite of the offspring(Reference Lagisz, Blair and Kenyon53), and these results suggest that this is also true of the offpring of dams fed DEP or REC diets. Long-term effects on appetite appear to be restricted to dietary treatments, which create severe undernourishment of the dams and a much greater decrease in the growth of the offspring, for example, animals limited to 30 % of the ad libitum intake(Reference Vickers, Breier and Cutfield54), or fed low-protein diets(Reference Cripps, Martin-Gronert and Archer55). Translating these results to humans would imply that changes in appetite regulation may be a consequence of stunting but not of the imbalances typical of the Western diet.

There is also evidience to suggest that the maternal diet may programme hedonistic feeding behaviours in the offspring(Reference Wright, Fone and Langley-Evans56). For example, the offspring of dams fed cafeteria diet during pregnancy and lactation show a preference for the same range of fat, sugar and salt-rich foods in adult life(Reference Bayol, Farrington and Stickland57). In this study, hedonistic responses were assessed using a sucrose preference test in which animals were presented with a choice of drinking water or sucrose solution. Offspring from all three diet groups showed a marked preference for sucrose solution demonstrating a capacity to experience hedonic pleasure(Reference Berridge58). However, there were no differences between the diet groups, suggesting that the diets used in this study had no effect on the hedonistic response to sweet foods. This implies that there may be some form of conditioned behaviour induced by the cafeteria diet, for example, responding to the extremes of sweetness or the constant variety of the diet. It would be interesting to test this by conducting a more direct comparison of the cafeteria and semi-synthetic diets.

Although the ratio of fat to lean tissue in the adult offspring was unchanged by the maternal diet, there were changes in the overall growth trajectory, comparable to the effects seen in the offspring of dams fed cafeteria(Reference Bayol, Simbi and Stickland59) or high-fat diets(Reference Visco, Manhães-de-Castro and da Silva60). The adult body weight of the offspring of dams fed the DEP and REC diets was approximately 10 % less than that of those fed the AIN diet. One of the main objectives in the formulation of the AIN-93G diet was to maintain the dam’s body weight in lactation(Reference Reeves, Nielsen and Fahey61) and as a result the AIN diet contains more protein of a higher quality (20 % w/w of casein) than the DEP and REC diets (16·4 % w/w of a mixture of casein and gluten). Changes in the amino acid supply resulting from the increased protein supply in the AIN diet (Dasgin manuscript in preparation) or increased accumulation of intramuscular lipid(Reference Bayol, Simbi and Stickland59) may be factors affecting lean tissue growth in the period up to weaning. There may also be changes in growth trajectory of the offspring in the post-weaning period as the REC offspring reduced their food intake to compensate for the excess of adiposity at weaning. However, reducing food intake to limit energy intake has the additional effect of reducing protein intake, with a consequential effect on lean tissue growth.

A relationship between poor early growth and adult glucose metabolism is well established in animal models. For example, feeding rats a low-protein diet (the AIN 93M maintenance diet containing 8 % casein) during gestation and lactation reduces the adult body weight of the offspring by 5–15 % and changes insulin secretion and fatty acid oxidation(Reference Agnoux, Antignac and Simard62). However, despite a decrease in adult weight, comparable to that of the low-protein offspring, the insulin tolerance and the HOMA index of the DEP or REC offspring did not differ either from one another or from the AIN group. Changes in insulin action have also been reported in the offspring of rats fed high-fat diets; however, a systematic review(Reference Ainge, Thompson and Ozanne13) noted a number of inconsistencies between studies. For example, some studies have used diets with much higher proportions of fat, up to 60 % of energy content from fat(Reference Tamashiro, Terrillion and Hyun63) compared with 32 % in the current experiment and these unrealistic levels of dietary lipid may have exceeded the capacity of maternal metabolism to protect the offspring. A limitation of the present study is the relatively short adaptation period when the dams were fed the diet prior to mating. Elevated plasma TAG caused by diets high in sucrose(Reference Soria, Chicco and Mocchiutti64) and fat(Reference Storlien, Jenkins and Chisholm65) has been associated with the development of insulin resistance, and it is unclear whether resistance would have developed in the relatively short period when animals were fed the experimental diets before mating. It is possible that feeding the diet for a longer period prior to mating may have increased the adipose reserves of the dams and induced insulin resistance, which may, in turn, have limited the capacity to protect the developing fetus. Strain-specific effects may also be important, since the Hooded Lister strain of rats used in the present study is relatively insensitive to obesity and metabolic dysfunction.

Although physiological measurements showed no lasting changes in metabolism, there were changes in hepatic gene expression in the REC offspring consistent with altered lipid metabolism. There was a marked increase in the expression of the fatty acid translocase CD36 in the REC compared with the DEP offspring, which would be expected to facilitate the uptake of long-chain fatty acids(Reference Glatz and Luiken66). At the same time, the abundance of the mRNA for SREBP-1c and one of its targets, acyl-CoA carboxylase (Acaca or Acc-1), were lower in the REC compared with the DEP offspring. As Acc-1 is the first step in the de novo synthesis of fatty acids(Reference Mao, DeMayo and Li67,Reference Mao, Yang and Gu68) , these changes may be indicative of reduced lipogenesis. Overall, these results are consistent with an increased hepatic utilisation of fatty acids with a concomitant reduction in de novo lipogenesis by the REC offspring. It has been suggested that a shift in metabolism, which promotes lipid utilisation at the expense of glucose, may reduce the development of insulin resistance(Reference Cheung, Andersen and Gustavsson69).

Although there were no interactions between diet and the sex of the offspring in relation to growth or glucose metabolism, sex-specific effects were aparent in the expression of CD36. A similar change in the expression of genes of lipid metabolism specific to the female offspring of mice fed a high fat Western diet was observed in microarray studies of hepatic gene expression(Reference Mischke, Pruis and Boekschoten70). Since the expression of CD36 is much higher in females due to its stimulation by oestrogen and growth hormone(Reference Ståhlberg, Rico-Bautista and Fisher71), there may be underlying sex-specific effects of maternal diet on lipid metabolism mediated through the female sex hormones.

In conclusion, although numerous studies of high-fat diets suggest long-term changes in glycaemic control and adiposity in the offspring(Reference Ainge, Thompson and Ozanne13), the present results suggest that diets that replicate many of the features of socio-economically deprived human diets produce more limited effects. Despite changes in growth and adiposity, maternal metabolic adaptation minimises the adverse consequences of the imbalanced maternal diet on the metabolism of the offspring, limiting them to changes in hepatic gene expression. Since the changes in gene expression are indirect measures of lipid metabolism, it will be interesting to make more direct measurements in these offspring and to extend the studies to other tissues including skeletal and cardiac muscle. Since exposure to obesogenic diets in the real world does not cease at weaning, these changes in gene expression may also modify the response of the offspring to a high-fat or high-sucrose challenge in adult life.

Acknowledgements

This work was funded as a part of the Scottish Government Rural and Environment Science and Analytical Services (RESAS) Strategic Research Program.

HD is the recipient of a grant from Newton-Katip Çelebi Fund of The Scientific and Technological Research Council of Türkiye (TÜBİTAK)-British Council Cooperation and by awards from the AFZ Giles Scholarship fund. We would like to express our thanks to Dr Graham Horgan (Biomathematics and Statistics, Scotland) for expert advice on statistical analysis, Dr Lianne Strachan for help and advice on behavioural measurements, to Anna Wilbers, Susan E. Anderson, Donna Henderson, Lynn Pirie, and Jodie Park for skilled technical assistance and to the staff of the Medical Research Facility for care and welfare of animals.

All authors participated in study design, H. D. and S. M. H. carried out the study, H. D., W. D. R. and S. M. H. carried out the data analysis and W. D. R., H. D. and S. M. H. prepared the manuscript. The manuscript was approved by all authors.

The authors declare that there are no conflicts of interest.

Supplementary material

For supplementary material referred to in this article, please visit https://doi.org/10.1017/S0007114523002210

Footnotes

Present address: Food Innovation Technologies Research Group, Life Sciences, TÜBİTAK Marmara Research Center, Gebze 41470, Kocaeli, Türkiye.

References

Hanson, MA & Gluckman, PD (2014) Early developmental conditioning of later health and disease: physiology or pathophysiology? Physiol Rev 94, 10271076.CrossRefGoogle ScholarPubMed
Stanner, SA, Bulmer, K, Andres, C, et al. (1997) Does malnutrition in utero determine diabetes and coronary heart disease in adulthood? Results from the Leningrad siege study, a cross sectional study. BMJ 315, 13421348.CrossRefGoogle ScholarPubMed
Roseboom, T, de Rooij, S & Painter, R (2006) The Dutch famine and its long-term consequences for adult health. Early Hum Dev 82, 485491.CrossRefGoogle ScholarPubMed
Forsen, T, Eriksson, JG, Tuomilehto, J, et al. (1999) Growth in utero and during childhood among women who develop coronary heart disease: longitudinal study. BMJ 319, 14031407.CrossRefGoogle ScholarPubMed
Osmond, C, Barker, D, Winter, P, et al. (1993) Early growth and death from cardiovascular disease in women. BMJ 307, 15191524.CrossRefGoogle ScholarPubMed
Barker, DJ (2007) The origins of the developmental origins theory. J Intern Med 261, 412417.CrossRefGoogle ScholarPubMed
Godfrey, KM & Barker, DJ (2000) Fetal nutrition and adult disease. Am J Clin Nutr 71, 1344s1352s.CrossRefGoogle ScholarPubMed
Cordain, L, Eaton, SB, Sebastian, A, et al. (2005) Origins and evolution of the western diet: health implications for the 21st century. Am J Clin Nutr 81, 341354.CrossRefGoogle Scholar
Haggarty, P, Campbell, DM, Duthie, S, et al. (2009) Diet and deprivation in pregnancy. Br J Nutr 102, 14871497.CrossRefGoogle ScholarPubMed
Food Standards Agency Scotland. The Scottish Diet – It Needs to Change 2018 Update. https://www.foodstandards.gov.scot/publications-and-research/publications/the-scottish-diet-it-needs-to-change-2018-update2018 (accessed October 2023).Google Scholar
Parisi, F, Laoreti, A & Cetin, I (2014) Multiple micronutrient needs in pregnancy in industrialized countries. Ann Nutr Metab 65, 1321.CrossRefGoogle ScholarPubMed
UNICEF (2019) Children, Food and Nutrition: Growing Well in a Changing World. The State of the World’s Children. https://www.unicef.org/reports/state-of-worlds-children-2019 (accessed October 2023).Google Scholar
Ainge, H, Thompson, C, Ozanne, SE, et al. (2011) A systematic review on animal models of maternal high fat feeding and offspring glycaemic control. Int J Obes 35, 325335.CrossRefGoogle ScholarPubMed
Ribaroff, GA, Wastnedge, E, Drake, AJ, et al. (2017) Animal models of maternal high fat diet exposure and effects on metabolism in offspring: a meta-regression analysis. Obes Rev 18, 673686.CrossRefGoogle ScholarPubMed
Williams, L, Seki, Y, Vuguin, PM, et al. (2014) Animal models of in utero exposure to a high fat diet: a review. Biochim Biophys Acta 1842, 507519.CrossRefGoogle ScholarPubMed
Fernandez-Twinn, DS, Wayman, A, Ekizoglou, S, et al. (2005) Maternal protein restriction leads to hyperinsulinemia and reduced insulin signalling protein expression in 21 month-old female rat offspring. Am J Physiol Regul Integr Comp Physiol 288, R368R373.CrossRefGoogle Scholar
Berends, LM, Dearden, L, Tung, YCL, et al. (2018) Programming of central and peripheral insulin resistance by low birthweight and postnatal catch-up growth in male mice. Diabetologia 61, 22252234.CrossRefGoogle ScholarPubMed
Wargent, ET, Martin-Gronert, MS, Cripps, RL, et al. (2020) Developmental programming of appetite and growth in male rats increases hypothalamic serotonin (5-HT)5A receptor expression and sensitivity. Int J Obes 44, 19461957.CrossRefGoogle ScholarPubMed
Butruille, L, Marousez, L, Pourpe, C, et al. (2019) Maternal high-fat diet during suckling programs visceral adiposity and epigenetic regulation of adipose tissue stearoyl-CoA desaturase-1 in offspring. Int J Obes 43, 23812393.CrossRefGoogle ScholarPubMed
Ozanne, SE, Dorling, MW, Wang, CL, et al. (2000) Depot-specific effects of early growth retardation on adipocyte insulin action. Horm Metab Res 32, 7175.CrossRefGoogle ScholarPubMed
Cerf, ME & Herrera, E (2016) High fat diet administration during specific periods of pregnancy alters maternal fatty acid profiles in the near-term rat. Nutrients 8, 25.CrossRefGoogle ScholarPubMed
Ashino, NG, Saito, KN, Souza, FD, et al. (2012) Maternal high-fat feeding through pregnancy and lactation predisposes mouse offspring to molecular insulin resistance and fatty liver. J Nutr Biochem 23, 341348.CrossRefGoogle ScholarPubMed
Gray, C, Harrison, CJ, Segovia, SA, et al. (2015) Maternal salt and fat intake causes hypertension and sustained endothelial dysfunction in fetal, weanling and adult male resistance vessels. Sci Rep 5, 9753.CrossRefGoogle ScholarPubMed
Segovia, SA, Vickers, MH, Harrison, CJ, et al. (2018) Maternal high-fat and high-salt diets have differential programming effects on metabolism in adult male rat offspring. Front Nutr 5, 1.CrossRefGoogle ScholarPubMed
Kirk, SL, Samuelsson, AM, Argenton, M, et al. (2009) Maternal obesity induced by diet in rats permanently influences central processes regulating food intake in offspring. PLOS ONE 4, e5870.CrossRefGoogle ScholarPubMed
Pereira, TJ, Fonseca, MA, Campbell, KE, et al. (2009) Maternal obesity characterized by gestational diabetes increases the susceptibility of rat offspring to hepatic steatosis via a disrupted liver metabolome. J Physiol 593, 31813197.CrossRefGoogle Scholar
Samuelsson, AM, Matthews, PA, Argenton, M, et al. (2008) Diet-induced obesity in female mice leads to offspring hyperphagia, adiposity, hypertension, and insulin resistance: a novel murine model of developmental programming. Hypertension 51, 383392.CrossRefGoogle ScholarPubMed
Blackmore, HL, Niu, Y, Fernandez-Twinn, DS, et al. (2014) Maternal diet-induced obesity programs cardiovascular dysfunction in adult male mouse offspring independent of current body weight. Endocrinology 155, 39703980.CrossRefGoogle ScholarPubMed
Speakman, JR (2019) Use of high-fat diets to study rodent obesity as a model of human obesity. Int J Obes 43, 14911492.CrossRefGoogle Scholar
Rees, WD (2019) Interactions between nutrients in the maternal diet and the implications for the long-term health of the offspring. Proc Nutr Soc 78, 8896.CrossRefGoogle ScholarPubMed
Davis, RE & Icke, GC (1983) Clinical chemistry of thiamin. Adv Clin Chem 23, 93140.CrossRefGoogle ScholarPubMed
Ramakrishnan, U, Goldenberg, T & Allen, LH (2011) Do multiple micronutrient interventions improve child health, growth, and development? J Nutr 141, 20662075.CrossRefGoogle ScholarPubMed
Newmark, HL (1987) Nutrient density: an important and useful tool for laboratory animal studies. Carcinogenesis 8, 871873.CrossRefGoogle ScholarPubMed
Hintze, KJ, Benninghoff, AD & Ward, RE (2012) Formulation of the total western diet (TWD) as a basal diet for rodent cancer studies. J Agric Food Chem 60, 67366742.CrossRefGoogle ScholarPubMed
Beverley, B, David, C, Kerry, S, et al. (2020) National Diet and Nutrition Survey Rolling Programme Years 9 to 11 (2016/2017 to 2018/2019) – A Survey Carried Out on Behalf of Public Health England and the Food Standards Agency. PHE. https://www.repository.cam.ac.uk/handle/1810/334369 (accessed October 2023).Google Scholar
Vennemann, FBC, Ioannidou, S, Valsta, LM, et al. (2015) Dietary intake and food sources of choline in European populations. Br J Nutr 114, 20462055.CrossRefGoogle ScholarPubMed
Scientific Advisory Committee on Nutrition (2012) Dietary Reference Values for Energy. HM Stationery Office.Google Scholar
Dietary reference values for food energy and nutrients for the United Kingdom: report of the Panel on Dietary Reference Values of the Committee on Medical Aspects of Food Policy. HM Stationery Office; 1991.Google Scholar
Institute of Medicine (1998) Standing Committee on the Scientific Evaluation of Dietary Reference Intakes and its Panel on Folate, Other B Vitamins, and Choline. Dietary Reference Intakes for Thiamin, Riboflavin, Niacin, Vitamin B6, Folate, Vitamin B12, Pantothenic Acid, Biotin, and Choline. Washington, DC: The National Academy Press.Google Scholar
Lobley, GE, Bremner, DM, Holtrop, G, et al. (2007) Impact of high-protein diets with either moderate or low carbohydrate on weight loss, body composition, blood pressure and glucose tolerance in rats. Br J Nutr 97, 10991108.CrossRefGoogle ScholarPubMed
Faul, F, Erdfelder, E, Lang, AG, et al. (2007) G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 39, 175191.CrossRefGoogle ScholarPubMed
Maloney, CA, Hay, SM & Rees, WD (2009) The effects of feeding rats diets deficient in folic acid and related methyl donors on the blood pressure and glucose tolerance of the offspring. Br J Nutr 101, 13331340.CrossRefGoogle ScholarPubMed
Antunes, LC, Elkfury, JL, Jornada, MN, et al. (2016) Validation of HOMA-IR in a model of insulin-resistance induced by a high-fat diet in Wistar rats. Arch Endocrinol Metab 60, 138142.CrossRefGoogle Scholar
Moore, BJ (1987) The cafeteria diet – an inappropriate tool for studies of thermogenesis. J Nutr 117, 227231.CrossRefGoogle ScholarPubMed
Hutchinson, J, Rippin, HL, Jewell, J, et al. (2017) Comparison of high and low trans-fatty acid consumers: analyses of UK national diet and nutrition surveys before and after product reformulation. Public Health Nutr 21, 465479.CrossRefGoogle ScholarPubMed
Morahan, HL, Leenaars, CHC, Boakes, RA, et al. (2021) Metabolic and behavioural effects in offspring exposed to maternal sucrose consumption: a systematic review and meta-analysis of data from rodent models. J Dev Orig Health Dis 12, 603618.CrossRefGoogle ScholarPubMed
Vithayathil, MA, Gugusheff, JR, Ong, ZY, et al. (2018) Exposure to maternal cafeteria diets during the suckling period has greater effects on fat deposition and sterol regulatory element binding protein-1c (SREBP-1c) gene expression in rodent offspring compared to exposure before birth. Nutr Metab 15, 17.CrossRefGoogle ScholarPubMed
George, G, Draycott, SAV, Muir, R, et al. (2019) The impact of exposure to cafeteria diet during pregnancy or lactation on offspring growth and adiposity before weaning. Sci Rep 9, 14173.CrossRefGoogle ScholarPubMed
Zambrano, E, Martínez-Samayoa, PM, Rodríguez-González, GL, et al. (2010) RAPID REPORT: dietary intervention prior to pregnancy reverses metabolic programming in male offspring of obese rats. J Physiol 588, 17911799.CrossRefGoogle Scholar
Hu, S, Wang, L, Yang, D, et al. (2018) Dietary fat, but not protein or carbohydrate, regulates energy intake and causes adiposity in mice. Cell Metab 28, 415431.CrossRefGoogle ScholarPubMed
Cohn, C & Joseph, D (1962) Influence of body weight and body fat on appetite of “normal” lean and obese rats. Yale J Biol Med 34, 598607.Google ScholarPubMed
Toop, CR, Muhlhausler, BS, O’Dea, K, et al. (2017) Impact of perinatal exposure to sucrose or high fructose corn syrup (HFCS-55) on adiposity and hepatic lipid composition in rat offspring. J Physiol 595, 43794398.CrossRefGoogle ScholarPubMed
Lagisz, M, Blair, H, Kenyon, P, et al. (2015) Little appetite for obesity: meta-analysis of the effects of maternal obesogenic diets on offspring food intake and body mass in rodents. Int J Obes 39, 16691678.CrossRefGoogle ScholarPubMed
Vickers, MH, Breier, BH, Cutfield, WS, et al. (2000) Fetal origins of hyperphagia, obesity, and hypertension and postnatal amplification by hypercaloric nutrition. Am J Physiol Endocrinol Metab 279, E83E87.CrossRefGoogle ScholarPubMed
Cripps, RL, Martin-Gronert, MS, Archer, ZA, et al. (2009) Programming of hypothalamic neuropeptide gene expression in rats by maternal dietary protein content during pregnancy and lactation. Clin Sci 117, 8593.CrossRefGoogle ScholarPubMed
Wright, TM, Fone, KC, Langley-Evans, SC, et al. (2011) Exposure to maternal consumption of cafeteria diet during the lactation period programmes feeding behaviour in the rat. Int J Dev Neurosci 29, 785793.CrossRefGoogle ScholarPubMed
Bayol, SA, Farrington, SJ & Stickland, NC (2007) A maternal ‘junk food’ diet in pregnancy and lactation promotes an exacerbated taste for ‘junk food’ and a greater propensity for obesity in rat offspring. Br J Nutr 98, 843851.CrossRefGoogle Scholar
Berridge, KC (2004) Motivation concepts in behavioral neuroscience. Physiol Behav 81, 179209.CrossRefGoogle ScholarPubMed
Bayol, SA, Simbi, BH & Stickland, NC (2005) A maternal cafeteria diet during gestation and lactation promotes adiposity and impairs skeletal muscle development and metabolism in rat offspring at weaning. J Physiol 567, 951961.CrossRefGoogle ScholarPubMed
Visco, DB, Manhães-de-Castro, R, da Silva, MM, et al. (2020) Early life fluoxetine treatment causes long-term lean phenotype in skeletal muscle of rats exposed to maternal lard-based high-fat diet. Biomed Pharmacother 131, 110727.CrossRefGoogle ScholarPubMed
Reeves, PG, Nielsen, FH & Fahey, GC (1993) AIN-93 purified diets for laboratory rodents: final report of the American Institute of Nutrition writing committee on the reformulation of the AIN-76A rodent diet. J Nutr 123, 19391951.CrossRefGoogle ScholarPubMed
Agnoux, AM, Antignac, J-P, Simard, G, et al. (2014) Time window-dependent effect of perinatal maternal protein restriction on insulin sensitivity and energy substrate oxidation in adult male offspring. Am J Physiol Regul Integr Comp Physiol 307, R184R197.CrossRefGoogle ScholarPubMed
Tamashiro, KLK, Terrillion, CE, Hyun, J, et al. (2009) Prenatal stress or high-fat diet increases susceptibility to diet-induced obesity in rat offspring. Diabetes 58, 11161125.CrossRefGoogle ScholarPubMed
Soria, A, Chicco, A, Mocchiutti, N, et al. (1996) A sucrose-rich diet affects triglyceride metabolism differently in pregnant and nonpregnant rats and has negative effects on fetal growth. J Nutr 126, 24812486.CrossRefGoogle ScholarPubMed
Storlien, LH, Jenkins, AB, Chisholm, DJ, et al. (1991) Influence of dietary fat composition on development of insulin resistance in rats. Relationship to muscle triglyceride and n-3 fatty acids in muscle phospholipid. Diabetes 40, 280289.CrossRefGoogle ScholarPubMed
Glatz, JC & Luiken, JFP (2018) Dynamic role of the transmembrane glycoprotein CD36 (SR-B2) in cellular fatty acid uptake and utilization. J Lipid Res 59, 10841093.CrossRefGoogle ScholarPubMed
Mao, J, DeMayo, FJ, Li, H, et al. (2006) Liver-specific deletion of acetyl-CoA carboxylase 1 reduces hepatic triglyceride accumulation without affecting glucose homeostasis. Proc Natl Acad Sci USA 103, 85528557.CrossRefGoogle ScholarPubMed
Mao, J, Yang, T, Gu, Z, et al. (2009) aP2-Cre-mediated inactivation of acetyl-CoA carboxylase 1 causes growth retardation and reduced lipid accumulation in adipose tissues. Proc Natl Acad Sci USA 106, 1757617581.CrossRefGoogle ScholarPubMed
Cheung, L, Andersen, M, Gustavsson, C, et al. (2007) Hormonal and nutritional regulation of alternative CD36 transcripts in rat liver – a role for growth hormone in alternative exon usage. BMC Mol Biol 8, 60.CrossRefGoogle ScholarPubMed
Mischke, M, Pruis, MG, Boekschoten, MV, et al. (2013) Maternal western-style high fat diet induces sex-specific physiological and molecular changes in 2-week-old mouse offspring. PLOS ONE 8, e78623.CrossRefGoogle Scholar
Ståhlberg, N, Rico-Bautista, E, Fisher, RM, et al. (2004) Female-predominant expression of fatty acid translocase/CD36 in rat and human liver. Endocrinology 145, 19721979.CrossRefGoogle ScholarPubMed
Reeves, PG (1997) Components of the AIN-93 diets as improvements in the AIN-76A diet. J Nutr 127, Suppl. 5, 838S841S.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Diet formula

Figure 1

Table 2. Vitamin and mineral pre-mix formula

Figure 2

Table 3. Allocation of experimental animals

Figure 3

Table 4. Dam characteristics during gestation (Means values with their standard error of the means)

Figure 4

Table 5. Dam food intake in gestation and lactation (Means values with their standard error of the means)

Figure 5

Fig. 1. Growth in lactation. Mean body weight of pups (upper panel) and dam weight (lower panel) during the lactation phase. Closed circle AIN, closed triangle DEP and open circle REC. Error bars = SEM, AIN n 7, DEP n 9 and REC n 8 litters.

Figure 6

Table 6. Body and organ weights of male pups at weaning

Figure 7

Table 7. Post-natal growth of the offspring

Figure 8

Table 8. Offspring food intake

Figure 9

Table 9. Glucose metabolism in the offspring

Figure 10

Table 10. Hepatic gene expression in the offspring (Means values with their standard error of the means

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