Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

A maternal high-fat, high-sucrose diet has sex-specific effects on fetal glucocorticoids with little consequence for offspring metabolism and voluntary locomotor activity in mice

  • Eunice H. Chin ,

    Contributed equally to this work with: Eunice H. Chin, Kim L. Schmidt

    Affiliation Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada

  • Kim L. Schmidt ,

    Contributed equally to this work with: Eunice H. Chin, Kim L. Schmidt

    Affiliations Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada, Department of Psychology, University of British Columbia, Vancouver, BC, Canada

  • Kaitlyn M. Martel,

    Affiliation Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada

  • Chi Kin Wong,

    Affiliation Department of Medical Genetics, University of British Columbia and BC Children's Hospital, Vancouver, BC, Canada

  • Jordan E. Hamden,

    Affiliation Department of Zoology, University of British Columbia, Vancouver, BC, Canada

  • William T. Gibson,

    Affiliation Department of Medical Genetics, University of British Columbia and BC Children's Hospital, Vancouver, BC, Canada

  • Kiran K. Soma,

    Affiliations Department of Psychology, University of British Columbia, Vancouver, BC, Canada, Department of Zoology, University of British Columbia, Vancouver, BC, Canada

  • Julian K. Christians

    julian_christians@sfu.ca

    Affiliation Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada

Abstract

Maternal overnutrition and obesity during pregnancy can have long-term effects on offspring physiology and behaviour. These developmental programming effects may be mediated by fetal exposure to glucocorticoids, which is regulated in part by placental 11β-hydroxysteroid dehydrogenase (11β-HSD) type 1 and 2. We tested whether a maternal high-fat, high-sucrose diet would alter expression of placental 11β-HSD1 and 2, thereby increasing fetal exposure to maternal glucocorticoids, with downstream effects on offspring physiology and behaviour. C57BL/6J mice were fed a high-fat, high-sucrose (HFHS) diet or a nutrient-matched low-fat, no-sucrose control diet prior to and during pregnancy and lactation. At day 17 of gestation, HFHS dams had ~20% lower circulating corticosterone levels than controls. Furthermore, there was a significant interaction between maternal diet and fetal sex for circulating corticosterone levels in the fetuses, whereby HFHS males tended to have higher corticosterone than control males, with no effect in female fetuses. However, placental 11β-HSD1 or 11β-HSD2 expression did not differ between diets or show an interaction between diet and sex. To assess potential long-term consequences of this sex-specific effect on fetal corticosterone, we studied locomotor activity and metabolic traits in adult offspring. Despite a sex-specific effect of maternal diet on fetal glucocorticoids, there was little evidence of sex-specific effects on offspring physiology or behaviour, although HFHS offspring of both sexes had higher circulating corticosterone at 9 weeks of age. Our results suggest the existence of as yet unknown mechanisms that mitigate the effects of altered glucocorticoid exposure early in development, making offspring resilient to the potentially negative effects of a HFHS maternal diet.

Introduction

Adult physiology and behaviour are influenced by early life environment, including maternal diet and stress during pregnancy [15]. For example, maternal overnutrition and/or obesity during pregnancy can have long-term effects on metabolic and cardiovascular traits in adult offspring [1,4]. Maternal consumption of a high-fat diet and/or obesity also affect offspring mental health in humans as well as behaviour in animal models [2,3,6,7], including voluntary locomotor activity [8,9]. Similarly, early postnatal nutrition influences voluntary physical activity in adulthood [10]. However, whether effects of early life environment on metabolic and cardiovascular traits are caused, at least in part, by programming effects on physical activity has received little attention [11].

Developmental programming of adult physiology and behaviour may be mediated by fetal exposure to glucocorticoids [12,13]. The transfer of glucocorticoids from maternal to fetal circulation is regulated in part by 11β-hydroxysteroid dehydrogenase type 2 (11β-HSD2) [13]. This enzyme, which is highly expressed in the placenta, inactivates glucocorticoids into metabolites (corticosterone to 11-dehydrocorticosterone in rodents and cortisol to cortisone in humans) that have lower affinity for their cognate receptors [13]. Conversely, 11β-HSD1, also present in the placenta, regenerates glucocorticoids from metabolites, thereby restoring activity [14]. Placental 11β-HSD2 activity is generally reduced by maternal malnutrition [13,15,16]. However, while a low protein diet decreased 11β-HSD2 activity near the end of pregnancy, it had the opposite effect earlier in pregnancy [17]. Similarly, maternal stress generally reduces placental 11β-HSD2 activity [5,18,19], although some studies have found the opposite pattern [5]. The effects of maternal overnutrition and/or obesity on placental 11β-HSD2 activity have received less study [20], although a high-fat diet decreases placental 11β-HSD2 expression and enzymatic activity in mice [21,22].

We hypothesized that a maternal high-fat, high-sucrose diet would alter expression of placental 11β-HSD1 and 2, thereby increasing fetal exposure to maternal glucocorticoids, with downstream effects on offspring voluntary energy expenditure. We tested this hypothesis in a mouse model of maternal obesity by measuring the voluntary locomotor activity of adult offspring [8,9]. We also assessed the effects of the diet manipulation on pregnancy and other aspects of offspring programming frequently measured in other studies. In particular, we measured placental phosphorylation of protein kinase B (Akt) as a measure of insulin signaling [2325] and placental expression of nutrient transporters [23,26], as well as metabolic traits of the offspring including food intake, energy expenditure and glucose tolerance [8]. Because leptin can affect 11β-HSD2 activity [27] and because glucocorticoids may regulate leptin expression [28], we also measured leptin in the maternal and fetal circulations.

Methods

All work was carried out in accordance with the guidelines of the Canadian Council on Animal Care and approved by the SFU University Animal Care Committee and the UBC Animal Care Committee (protocols 1094 and A13-0006, respectively). C57BL/6J mice were purchased from the Jackson Laboratory (stock # 664) and were group-housed in individually ventilated cages (50 air changes/hour; max. 5 mice per cage) with Enrich-o'Cobs bedding (Andersons Lab Bedding, Maumee, OH) on a 12:12 hour light:dark cycle, at constant temperature (21 ± 1°C), 50% humidity, with water and food available ad libitum. At 8–11 weeks of age, females were placed on either a high-fat, high-sucrose diet (HFHS; 45% kcal fat, 35% carbohydrate (including 17% kcal sucrose), 20% kcal protein, 4.73 kcal/g, D12451, Research Diets, New Brunswick, NJ) or a nutrient-matched low-fat, no-sucrose control diet (CON; 10% kcal fat, 70% kcal carbohydrate (corn starch and maltodextrin), 20% kcal protein, 3.85 kcal/g, D12450K, Research Diets).

One group of females was euthanized during pregnancy. These females were kept on the experimental diets for 13 weeks prior to being paired with a male for one night, checked for vaginal plugs, and kept on their experimental diet until euthanized at day 17 of pregnancy (where the day the vaginal plug was observed = day 0). If no vaginal plug was observed and/or if female weight had not increased by ~1g one week after mating, females were paired again. Because not all females became pregnant when first paired, females euthanized during pregnancy had been on the experimental diet for 13–17 weeks at the start of pregnancy.

Pregnant females were euthanized by cervical dislocation within 2.5 minutes of moving their home cage, and immediately blood sampled by cardiac puncture. Fetal blood was collected into heparinized tubes following decapitation as quickly as possible after euthanization of the mother. Placentae were either stored in RNAlater (Ambion, Foster City, CA), or placed on dry ice and then stored at -80°C for protein extraction. Fetal sex was determined by PCR [29]. In this experiment, 19 HFHS and 20 CON females were paired, but 7 of each diet did not become pregnant within 17 weeks on the experimental diet, and 1 CON female carried only 2 fetuses and so was excluded from analyses.

To assess the long-term consequences of the maternal diet on the offspring, another group of females was allowed to deliver and rear their pups, remaining on the experimental diet throughout pregnancy and lactation. Because a number of females lost first litters to cannibalism or neglect (described below), only the offspring of second litters were studied. To match the timing of the second pregnancy to that of the females euthanized during pregnancy (described above), females were kept on the experimental diets for 9–10 weeks prior to being paired with a male, such that their first pregnancy started after 10 weeks on the experimental diet, and their second pregnancy started after ~ 13 weeks on the experimental diet. Offspring were weaned at three weeks of age and maintained on breeding chow (Prolab RMH 2000 5P06, 23% kcal fat, LabDiet, St. Louis, MO) until 6 weeks of age, when they were gradually switched to normal chow (5001, 13.5% kcal fat, LabDiet), i.e., remaining breeding chow was left in the food hopper, but was topped up with normal chow.

Offspring of two cohorts were studied, with some improvements in experimental protocol for the second cohort. In the first cohort, some females were nursing their first litter while pregnant with their second litter, whereas in the second cohort the male was removed before the birth of the first litter, and not returned until a week after the first litter had been euthanized (soon after birth). In the first cohort, litter size was not standardized, whereas in the second cohort, litter size was standardized at birth to a maximum of 6. In the first cohort, 6 females per diet were paired with males, but one of the HFHS females cannibalized her first and second litters and so was not included. In the second cohort, 10 females per diet were paired, but one CON female cannibalized her first and second litters, one HFHS female died during the birth of her first litter and one HFHS female was never observed to produce a litter.

Glucose tolerance

Glucose tolerance was measured in a subset of dams (N = 5/ diet) three days before pairing, and in offspring at 15–18 weeks of age. Glucose tolerance tests were performed after a 5 hour fast on unanesthetized animals [30,31]. Mice were given an intraperitoneal injection of 20% glucose at a dose of 2 g D-glucose/kg body weight [32], and blood sampled from the saphenous vein at 0, 15, 30, 60 and 120 minutes after injection. Blood glucose levels were measured using an AlphaTRAK 2 glucometer (Abbott, Illinois). A blood sample taken immediately prior to glucose challenge was frozen for measurement of plasma triglycerides. All injections were performed between 12 and 1 pm.

Voluntary activity

Voluntary locomotor activity during the dark phase was measured in offspring at 16–19 weeks of age using angled running wheels (15.5 cm diameter) that were monitored wirelessly (Wheel Manager software, Med Associates Inc., VT, USA). In the first cohort, offspring were provided with a running wheel while group-housed to allow habituation, and three days later were single housed for activity measurements throughout the subsequent four nights. In the second cohort, mice were single-housed upon addition of the running wheel, habituated to the running wheel for three days, followed by four nights of activity measurement.

Metabolic and body composition phenotyping

Food and water intake, energy expenditure, oxygen consumption, carbon dioxide production, respiratory exchange ratio and spontaneous physical activity were measured in mice housed individually in metabolic cages, as previously described [33]. Whole animal body composition was measured by quantitative magnetic resonance (QMR) analysis, as previously described [33]. Body composition was measured post-mortem for dams and while alive for adult offspring.

Serum analytes

Kits were used to measure circulating levels of corticosterone (07120103, MP Biomedicals, as described in [34]), leptin (90030, Crystal Chem), IL-6 (M6000B, R&D Systems) and triglycerides (Sigma-Aldrich).

Quantitative PCR

Tissue was homogenized in buffer RLT using pestles and Qiashredders, and total RNA was extracted using the RNeasy Mini kit (Qiagen, Ontario, Canada). RNA concentration was determined using a Nanodrop spectrophotometer (Thermo Fischer Scientific Inc., Waltham, MA). A reference sample was prepared by combining samples and was included in every assay to account for variation between assays. In addition to the mRNA levels of Hsd11b1 and Hsd11b2, we also measured Slc38a2, Slc27a4, Slc2a1, genes encoding neutral amino acid, long-chain fatty acid and glucose transporters, respectively, expressed in the placenta [23,26,35] and β-actin as a housekeeping gene. Primer sequences are shown in Table 1. The qScript 1-step SYBR Green qRT-PCR kit (Quanta Biosciences Inc. Gaithersburg, MD) was used to reverse-transcribe and amplify each sample for 40 cycles. At each cycle, the amount of fluorescence was quantified using a miniOpticon (Bio-Rad, Hercules, CA), and the cycle at which the signal rose above a fixed threshold (Ct) was determined. Each sample was analysed in duplicate. We used the method of Pfaffl [36] to calculate mRNA expression levels relative to the reference sample, e.g., a value of 1.5 indicates a sample has 50% more of a particular transcript than the reference sample, correcting for β-actin.

Western blotting

Protein extraction and Western blotting were performed as described previously [37]. Membranes were incubated overnight at 4°C with a primary antibody solution containing antibodies against actin and one protein of interest. Primary antibodies were as follows: actin (CLT9001, Cedarlane), Akt (9272S, New England Biolabs), phospho-Akt (Ser473; 4060S, New England Biolabs), 11β-HSD1 (AB39364, Cedarlane), 11β-HSD2 (AB80317, Cedarlane). Membranes were visualized using the Odyssey infrared imaging system (Li-Cor Biosciences, Lincoln, NE) which allowed simultaneous quantification of the protein of interest and actin using secondary antibodies that fluoresced at different wavelengths.

Statistical analyses

All statistical analyses were performed using general linear models (proc GLM) or repeated measures analyses (proc MIXED) in SAS, Version 9.3 (SAS Institute Inc., Cary, NC). Repeated measures analyses were used for all placental, fetal and offspring traits where there were multiple offspring per dam (with dam as a random factor), since the dam was the unit of replication. Models initially included a maternal diet by offspring sex interaction term to test for sex-specific effects [38] and this term was removed if not significant (P < 0.05). Where a diet by sex interaction was significant, the effect in males and females was tested using the ESTIMATE statement.

Results

Maternal traits

As expected, females on a HFHS diet gained more weight than females on the CON diet, such that they were significantly heavier at the time of first pairing (F1,15 = 12.32, P = 0.0032) and were ~15% heavier prior to becoming pregnant with their second litter (Fig 1A). Three days before mating for the first litter, HFHS females had higher fasting blood glucose levels (F1,8 = 9.19, P = 0.02; Fig 2) and reduced glucose tolerance measured as the area under the curve (AUC, F1,8 = 16.45, P < 0.01) or the positive incremental area under the curve (i.e., the area under the curve, but above the baseline level, piAUC, F1,8 = 13.81, P < 0.01; Fig 2). However, fasting triglyceride levels did not differ between diets (HFHS: 0.48 ± 0.06 mmol/L; CON: 0.39 ± 0.05 mmol/L; F1,7 = 1.32, P = 0.29). Among females paired with males for only one night, such that the timing of pregnancy was known, HFHS females weighed more at the beginning of pregnancy (F1,22 = 6.37, P = 0.02; Fig 1B), but CON females tended to gain more weight between pairing and day 17 of gestation (F1,21 = 3.11, P = 0.09, controlling for number of conceptuses, F1,21 = 21.33, P < 0.0001). As a result, although HFHS females tended to be heavier at day 17 of gestation (Fig 1B), this difference was not significant (F1,22 = 2.69, P = 0.12). HFHS females euthanized at day 17 of gestation had greater fat mass, but not greater lean mass, than CON females, as measured by QMR (Table 2). Consistent with weight gain, HFHS females consumed more calories at the beginning of pregnancy, whereas CON females caught up by day 17 (Fig 3). Because the two diets were equal with respect to the proportion of calories obtained from protein (20%), protein consumption through pregnancy paralleled caloric consumption.

thumbnail
Fig 1. Effect of maternal diet on weight gain prior to and during pregnancy.

(A) Weight gain prior to pregnancy (N = 6 per diet in first cohort and 30 per diet in second cohort) and (B) during pregnancy (N = 12 per diet) in females fed a high-fat, high-sucrose (HFHS, solid symbols) or low-fat, no-sucrose (CON, open symbols) diet. Values are least squares means ± standard error. Analyses of pre-pregnancy weight gain included effects of cohort; the diet by cohort interaction term was not significant at any time point and so was removed from the models.

https://doi.org/10.1371/journal.pone.0174030.g001

thumbnail
Fig 2. Glucose tolerance prior to mating.

Values for HFHS females (solid symbols) and CON females (open symbols) are least squares means ± standard error (N = 5 per diet).

https://doi.org/10.1371/journal.pone.0174030.g002

thumbnail
Fig 3. Caloric intake during pregnancy.

Values for HFHS dams (solid symbols; N = 12) and CON dams (open symbols; N = 11 due to missing data for one mouse) are least squares means ± standard error.

https://doi.org/10.1371/journal.pone.0174030.g003

thumbnail
Table 2. Physiological and reproductive traits among females euthanized at day 17 of gestation.

https://doi.org/10.1371/journal.pone.0174030.t002

Among females euthanized at day 17 of gestation, HFHS females had 20% lower circulating corticosterone levels and 63% higher leptin levels than CON females, although the latter difference was marginally non-significant (P = 0.054; Table 2). Circulating IL-6, a measure of systemic inflammation, did not differ between diets (Table 2).

Fetal and placental traits

There was no difference between diets in the number of conceptuses at day 17 or in the fetal sex ratio (Table 2). There was no effect of diet on fetal weight, placental weight or the fetal-to-placental weight ratio, including the number of conceptuses as a covariate in the models (Table 2).

There was no interaction between maternal diet and fetal sex (i.e., no difference in the effect of maternal diet between the sexes) and no significant effects of maternal diet or fetal sex on fetal circulating leptin levels (Table 2). However, there was a significant interaction between maternal diet and fetal sex on fetal circulating corticosterone levels (F1,18 = 8.59, P = 0.009), whereby HFHS male fetuses tended to have higher plasma corticosterone than CON male fetuses (t18 = 1.96, P = 0.07), with no effect of maternal diet in female fetuses (t18 = -1.55, P = 0.14) (Fig 4A). Among HFHS fetuses, males tended to have higher corticosterone than females (t18 = -2.03, P = 0.06), whereas the opposite pattern occurred in CON fetuses (t18 = 2.12, P = 0.05). When maternal corticosterone was added to the model as a covariate, maternal corticosterone was significantly correlated with fetal corticosterone (F1,21 = 6.37, P = 0.02), and the interaction between maternal diet and fetal sex remained significant for fetal corticosterone (F1,18 = 8.35, P = 0.01), again with HFHS male fetuses having higher corticosterone than CON male fetuses (t18 = 3.08, P = 0.007), with no effect in female fetuses (t18 = -0.11, P = 0.91) (Fig 4B).

thumbnail
Fig 4. Fetal corticosterone levels.

(A) Fetal (day 17) corticosterone levels in HFHS dams (solid bars; N = 12 dams) and CON dams (open bars; N = 12 dams). Values are least squares means ± standard error from a repeated measures analysis including effects of diet, fetal sex, and the diet by fetal sex interaction and dam as the random subject. (B) Correlation between fetal and maternal corticosterone in HFHS (solid symbols, black lines) and CON (open symbols, gray lines) male (squares, solid lines) and female (circles, dotted lines) fetuses. The regression lines have a shared slope because there was no significant interaction between maternal corticosterone and fetal sex, or between maternal corticosterone and maternal diet; there was only an interaction between fetal sex and diet.

https://doi.org/10.1371/journal.pone.0174030.g004

While HFHS dams had lower circulating corticosterone than CON, their male fetuses had higher corticosterone than those of CON dams. This contrasting pattern suggested sex-specific changes in 11β-HSD1 and/or 11β-HSD2 expression. However, there was no significant interaction between maternal diet and fetal sex, and no significant effects of maternal diet or fetal sex, on 11β-HSD1 or 11β-HSD2 mRNA levels, or 11β-HSD1 protein levels (P > 0.1 in all cases) (Fig 5). We could not detect 11β-HSD2 by Western blotting, consistent with much higher quantitative PCR Ct values (i.e, lower expression) for 11β-HSD2 than for 11β-HSD1, as well as previous reports that 11β-HSD2 expression decreases towards the end of gestation [14,39].

thumbnail
Fig 5. Placental 11β-HSD expression.

(A) 11β-HSD1 protein, (B) Hsd11b1 mRNA and (C) Hsd11b2 mRNA from HFHS dams (solid bars; N = 12 dams) and CON dams (open bars; N = 12 dams). Values are least squares means ± standard error from a repeated measures analysis including effects of diet, fetal sex, and the diet by fetal sex interaction, with dam as the random subject.

https://doi.org/10.1371/journal.pone.0174030.g005

As a measure of insulin signaling and Akt activity, we measured placental protein levels of phosphorylated Akt (Akt-S473) and total Akt by Western blotting. There was no significant interaction between maternal diet and fetal sex on either trait, or on the ratio of phosphorylated to total Akt. There was no effect of maternal diet on the levels of phosphorylated Akt, but HFHS placentae had significantly higher total Akt, and as a result had a significantly lower ratio of phosphorylated to total Akt (Table 2). There was no effect of maternal diet on the mRNA levels of genes encoding amino acid, fatty acid or glucose transporters (Table 2). We measured placental IL-6 by ELISA to assess inflammation, but found no significant interaction between maternal diet and fetal sex, and no significant effects of maternal diet or fetal sex (Table 2).

Offspring perinatal traits

Of the first litters that were not euthanized immediately after birth, all pups had died by the next day in 6 of 9 HFHS litters, whereas only 1 of 12 first CON litters were completely lost (Fisher’s Exact Test P = 0.02). As a result, subsequent first litters from the second cohort were euthanized on the day of birth.

The number of pups at birth in the second litters was significantly lower in HFHS dams in the first cohort, but not in the second cohort (Table 3). When the two cohorts were combined, the diet by cohort interaction was marginally non-significant (F1,24 = 4.06, P = 0.06). Conversely, birth weight did not differ between diets in either cohort (Table 3). There was no difference in the number of days between mating and birth in either cohort (Table 3).

Offspring postnatal growth

In the first cohort, there was no interaction between sex and maternal diet on postnatal growth at any age (P > 0.4 in all cases). Offspring from HFHS dams were heavier at weaning (3 weeks of age) but not 6 and 10 weeks of age (Fig 6A and 6B). In the second cohort, there was also no interaction between sex and maternal diet on postnatal growth at any age (P > 0.15 in all cases), but in contrast to the first cohort, offspring from HFHS dams were not heavier at 3 weeks of age (Fig 6C and 6D). The diet by cohort interaction was significant at 3 weeks of age (F1,24 = 7.87, P = 0.01). In the first cohort, litter size at birth was lower in HFHS dams but we did not standardize litter sizes, and so the difference in mass at weaning could be due to litter size rather than maternal diet. To test this, we added litter size at weaning as a covariate to the analyses of the first cohort, but it was not a significant covariate and the effect of diet remained significant. In the second cohort, body composition at euthanasia (at 19–24 weeks of age) was analysed by QMR. There was no significant interaction between sex and maternal diet for fat or lean mass (P > 0.65 in both cases), and no significant effect of maternal diet for either trait (Table 3).

thumbnail
Fig 6. Postnatal growth in offspring.

Postnatal growth in males (A, C) and females (B, D) from the first (A, B; N = 5 HFHS dams, 28 pups, 6 CON dams, 43 pups) and second cohorts (C, D; N = 8 HFHS dams, 44 pups, 9 CON dams, 53 pups). Although the diet by sex interaction was not significant at any age, data for each sex are presented separately for clarity, and values are least squares means ± standard error from repeated measures analyses including effects of diet, sex, and the diet by sex interaction with dam as the random subject. Asterisks denote ages at which effect of diet is significant (P < 0.05).

https://doi.org/10.1371/journal.pone.0174030.g006

Offspring food consumption and metabolic traits

HFHS and CON offspring were all weaned onto the same chow diet. Food consumption at 5–6 weeks of age did not show a significant interaction between sex and maternal diet in either cohort (P > 0.48 in both cases), but food consumption was significantly higher in HFHS offspring in the second cohort and tended to be higher in the first cohort (Table 3). However, in the second cohort, food consumption was also measured in metabolic cages at 18–23 weeks of age, at which point there was no effect of maternal diet (Table 3). At 17–22 weeks of age, offspring were offered both the HFHS and CON experimental diets to assess diet preference, and all mice strongly preferred the HFHS diet (~95% of food consumed by mass was HFHS), but there was no effect of maternal diet, although males had a stronger preference for the HFHS diet than females (Table 3).

At 15–18 weeks of age, fasting glucose and glucose tolerance, as measured by AUC or piAUC, did not show a significant sex by maternal diet interaction in either cohort (P > 0.05 in all cases). The effect of maternal diet was not significant for any trait in either cohort (P > 0.18 in all cases) (Fig 7). Fasting triglyceride levels were measured in the second cohort only, and did not show a significant sex by maternal diet interaction (F1,14 = 1.73, P = 0.21), or an effect of diet (Table 3).

thumbnail
Fig 7. Glucose tolerance in offspring.

Glucose tolerance in males (A, C) and females (B, D) from the first (A, B; N = 5 HFHS dams, 24 pups, 6 CON dams, 26 pups) and second (C, D; N = 8 HFHS dams, 16 pups, 9 CON dams, 16 pups) cohorts. Although the diet by sex interaction was not significant, data for each sex are presented separately for clarity, and values are least squares means ± standard error from repeated measures analyses including effects of diet, sex, and the diet by sex interaction with dam as the random subject.

https://doi.org/10.1371/journal.pone.0174030.g007

At 18–23 weeks of age, a number of metabolic traits were measured in the second cohort, including food intake, water intake, energy expenditure, oxygen consumption, carbon dioxide production and the respiratory exchange ratio, and none of these traits showed an effect of maternal diet (Table 3) or an interaction between maternal diet and offspring sex (P > 0.05 in all cases).

Offspring stress response and voluntary locomotor activity

In the second cohort, the response to stress was assessed in offspring at 9 weeks of age by measuring circulating corticosterone levels after 3 and 10 minutes of restraint stress. In a repeated measures analysis with dam as the random subject, the interactions between maternal diet, sex and time were not significant (P > 0.15 for all), but there was a significant effect of maternal diet, with HFHS offspring having higher circulating corticosterone (F1,11 = 5.64, P = 0.04; Fig 8). Circulating corticosterone did not differ between the sexes (F1,9 = 1.07, P = 0.33; Fig 8). Consistent with the lack of interaction between diet and time, the difference in corticosterone levels between 3 and 10 minutes did not show an interaction between maternal diet and sex (F1,8 = 1.26, P = 0.29), or an effect of diet (F1,11 = 0.05, P = 0.83).

thumbnail
Fig 8. Stress response in offspring.

Corticosterone levels after 3 and 10 minutes of restraint stress in HFHS (solid symbols, solid lines) and CON (open symbols, dotted lines) male (squares) and female (circles) offspring from the second cohort (N = 6 HFHS dams, 11 pups, 7 CON dams, 12 pups). Lines connect measurements of individual mice at 3 and 10 minutes of restraint stress.

https://doi.org/10.1371/journal.pone.0174030.g008

Voluntary locomotor activity was measured by use of running wheels over 4 nights in offspring at 16–19 weeks of age. There was no sex by maternal diet interaction and no effect of maternal diet in either cohort (P > 0.1 in all cases). The effect of sex was highly significant in each cohort (P < 0.0001 in each cohort), with females more active than males (Table 3). In the second cohort, spontaneous physical activity (sensu [40]) was measured at 18–23 weeks of age by means of infrared beam breakage by animals moving within metabolic cages. Results were similar to those obtained with running wheel use, i.e., no effect of maternal diet, but females showed greater activity, a difference that was significant in the light phase and marginally non-significant in the dark phase (Table 3).

Discussion

Fetal glucocorticoid levels and offspring behaviour

We tested whether a maternal HFHS diet would alter fetal exposure to glucocorticoids and result in programming effects on the behaviour and physiology of adult offspring. We observed a significant interaction between maternal diet and fetal sex on fetal circulating corticosterone, such that HFHS male fetuses had higher plasma corticosterone than CON male fetuses, but there was no effect of maternal diet on female fetuses. Maternal corticosterone was much higher than fetal corticosterone, reflecting the 11β-HSD2 barrier, although maternal and fetal corticosterone levels were significantly correlated, suggesting that the barrier was incomplete [13]. Although we had hypothesized that aberrant fetal exposure would be due to altered placental 11β-HSD expression, we observed no effect of maternal diet on 11β-HSD1 or 11β-HSD2 expression. Elevated corticosterone in male fetuses may therefore have been due to altered 11β-HSD expression earlier in pregnancy, or to altered fetal glucocorticoid production and/or metabolism. A previous study of the same strain of mice fed a diet with a higher fat content found reduced 11β-HSD2 activity in association with elevated maternal corticosterone [21], in contrast to the reduced maternal levels that we observed. Other studies of the same strain of mice have found that a higher fat diet either reduces 11β-HSD2 mRNA expression [22] or has no effect [26]. A maternal low-protein diet did not affect placental 11β-HSD2 expression or activity in mice [41], in contrast to other species.

Despite a sex-specific effect of maternal diet on fetal glucocorticoids, there was little evidence of sex-specific effects on offspring behaviour or physiology. We found that circulating corticosterone levels were higher in offspring of HFHS dams in both sexes at 9 weeks of age, consistent with the increased activity of the offspring HPA axis previously observed in association with altered fetal glucocorticoid exposure [18]. However, this effect was not sex-specific.

Maternal physiology and pregnancy

Studies of developmental programming use a wide variety of dietary manipulations in different animal models. We do not know of another study to use our diets, and therefore characterized our model in terms of its effects on maternal physiology and frequently studied offspring traits. Females on the HFHS diet were ~15% heavier and had ~45% higher fat mass during pregnancy than control mice on the nutrient-matched CON diet. Whereas maternal glycaemic control is often not reported in such studies [42], we found that HFHS females were hyperglycemic and had impaired glucose tolerance. HFHS females had lower glucocorticoid levels than controls during pregnancy, which has also been observed in obese human pregnancy [43]. In contrast, a previous study of the same line of mice fed a higher fat diet found that it increased maternal levels of corticosterone during pregnancy, and increased the frequency of maternal cannibalism [21]. Despite observing the opposite pattern with respect to maternal glucocorticoid levels, we also observed increased loss of first litters shortly after birth in HFHS females, suggesting that our HFHS diet was a stressor for the female.

HFHS females tended to have higher leptin levels than controls during pregnancy, as previously reported in mice [22,35,44,45] and rats [42], as well as in obese human pregnancy [46]. In contrast to this trend in maternal leptin levels, we found no effect of maternal diet on fetal circulating leptin, consistent with previous observations in sheep and rats [47]. Potentially as a result of lower glucocorticoid and higher leptin levels, HFHS females increased their caloric intake through gestation less than CON females, such that there was no difference in caloric intake and a reduced difference in body mass towards the end of gestation. This behavioural response may have protected fetuses from overnutrition/ overgrowth, avoiding the increase in fetal/ birth weight observed in some studies [35,45].

While leptin and glucocorticoids affect placental function [5,13,46,47], we observed no effect of maternal diet on the placental expression of nutrient transporters or on insulin signaling as measured by levels of placental phosphorylated Akt, although total Akt levels were increased slightly by the HFHS diet. The placenta is thought to integrate maternal and fetal signals to match nutritional supply and demand to the extent possible [24,48] via modulating the expression and activity of nutrient transporters [23,35,45]. We speculate that the mothers’ altered caloric intake was adequate to protect the fetuses from overgrowth and/ or that our dietary manipulation was not sufficiently severe to warrant changes in gene expression. However, the effects of maternal diet on nutrient transporter expression have been found to vary through gestation [22,23,26] and thus we cannot rule out the possibility that nutrient transport was altered earlier in pregnancy.

Inflammatory cytokines are elevated in obese human and rodent pregnancy [6]. A high-fat diet has been observed to elevate circulating IL-6 levels in pregnant mice in some studies [44,49] but not others [35], and we found no such effect.

Postnatal offspring growth and metabolism

We observed few consistent effects of maternal diet in postnatal offspring. Offspring of HFHS dams were heavier at weaning in the first cohort but not in the second cohort, and there was no difference at 6 weeks of age or older in either cohort. Food consumption was higher in HFHS offspring at 5–6 weeks of age, but not in older mice. Fasting glucose, glucose tolerance and other metabolic traits were not affected by maternal diet in either cohort. While the programming effects of maternal overnutrition have received substantial attention, a lack of effect of a maternal high-fat diet on offspring food consumption, post-weaning body weight, and glycaemic control is not unusual [42,50,51]. In some cases a postnatal metabolic challenge is required to reveal programming effects [50], and potentially we would have observed more substantial programming effects had we weaned offspring onto the HFHS diet.

Conclusions

To our knowledge, ours is the first study to examine the effects of a maternal high-fat, high-sucrose diet on fetal glucocorticoid levels. We found a sex-specific effect of maternal diet on fetal glucocorticoid levels, but little evidence of programming consequences of this diet for adult offspring. Offspring of HFHS dams had higher circulating corticosterone as young adults, but this effect was not sex-specific. Although sex-specific programming effects are frequently reported in the literature, few studies explicitly test for a sex by diet interaction as we did [38].

Supporting information

S1 File. Data underlying findings.

Raw data used in analyses.

https://doi.org/10.1371/journal.pone.0174030.s001

(XLSX)

Acknowledgments

We are grateful to Olga Chapor, Meiyun Guo, Kendra Lennie, and Luke Rawle for assistance with mouse and laboratory work. We also thank the Animal Care staff at Simon Fraser University, and particularly Kim Buettner for assistance with animal maintenance, blood sampling and glucose tolerance tests.

Author Contributions

  1. Conceptualization: EHC KLS JKC.
  2. Formal analysis: JKC.
  3. Funding acquisition: EHC KLS WTG KKS JKC.
  4. Investigation: EHC KLS KMM CKW WTG JEH KKS JKC.
  5. Methodology: EHC KLS CKW WTG JKC.
  6. Project administration: JKC.
  7. Resources: WTG KKS JKC.
  8. Supervision: EHC KLS WTG KKS JKC.
  9. Visualization: JKC.
  10. Writing – original draft: JKC.
  11. Writing – review & editing: EHC KLS CKW WTG JEH KKS JKC.

References

  1. 1. Li M, Sloboda DM, Vickers MH. Maternal Obesity and Developmental Programming of Metabolic Disorders in Offspring: Evidence from Animal Models. Experimental Diabetes Research. 2011;2011: 592408. pmid:21969822
  2. 2. Sullivan EL, Smith MS, Grove KL. Perinatal Exposure to High-Fat Diet Programs Energy Balance, Metabolism and Behavior in Adulthood. Neuroendocrinology. 2011;93: 1–8. pmid:21079387
  3. 3. Grissom NM, Reyes TM. Gestational overgrowth and undergrowth affect neurodevelopment: similarities and differences from behavior to epigenetics. International Journal of Developmental Neuroscience. 2013;31: 406–414. pmid:23201144
  4. 4. Williams L, Seki Y, Vuguin PM, Charron MJ. Animal models of in utero exposure to a high fat diet: A review. Biochimica Et Biophysica Acta-Molecular Basis of Disease. 2014;1842: 507–519.
  5. 5. Bronson SL, Bale TL. The Placenta as a Mediator of Stress Effects on Neurodevelopmental Reprogramming. Neuropsychopharmacology. 2016;41: 207–218. pmid:26250599
  6. 6. Hale MW, Spencer SJ, Conti B, Jasoni CL, Kent S, Radler ME, et al. Diet, behavior and immunity across the lifespan. Neurosci Biobehav Rev. 2015;58: 46–62. pmid:25524877
  7. 7. Mendes-da-Silva C, Giriko CA, Mennitti LV, Hosoume LF, Souto TdS, da Silva AV. Maternal high-fat diet during pregnancy or lactation changes the somatic and neurological development of the offspring. Arq Neuropsiquiatr. 2014;72: 136–144. pmid:24604368
  8. 8. Samuelsson A, Matthews PA, Argenton M, Christie MR, McConnell JM, Jansen EHJM, et al. Diet-induced obesity in female mice leads to offspring hyperphagia, adiposity, hypertension, and insulin resistance—A novel murine model of developmental programming. Hypertension. 2008;51: 383–392. pmid:18086952
  9. 9. Cunha FdS Molle RD, Portella AK Benetti CdS, Noschang C Goldani MZ, et al. Both Food Restriction and High-Fat Diet during Gestation Induce Low Birth Weight and Altered Physical Activity in Adult Rat Offspring: The "Similarities in the Inequalities" Model. Plos One. 2015;10: e0118586. pmid:25738800
  10. 10. Li G, Kohorst JJ, Zhang W, Laritsky E, Kunde-Ramamoorthy G, Baker MS, et al. Early Postnatal Nutrition Determines Adult Physical Activity and Energy Expenditure in Female Mice. Diabetes. 2013;62: 2773–2783. pmid:23545705
  11. 11. Zhu S, Eclarinal J, Baker MS, Li G, Waterland RA. Developmental programming of energy balance regulation: is physical activity more 'programmable' than food intake? Proc Nutr Soc. 2016;75: 73–77. pmid:26511431
  12. 12. Reynolds RM. Glucocorticoid excess and the developmental origin of disease: Two decades of testing the hypothesis-2012 Curt Richter Award Winner. Psychoneuroendocrinology. 2013;38: 1–11. pmid:22998948
  13. 13. Cottrell EC, Seckl JR, Holmes MC, Wyrwoll CS. Foetal and placental 11 beta-HSD2: a hub for developmental programming. Acta Physiologica. 2014;210: 288–295. pmid:24330050
  14. 14. Draper N, Stewart P. 11 Beta-Hydroxysteroid Dehydrogenase and the Pre-Receptor Regulation of Corticosteroid Hormone Action. J Endocrinol. 2005;186: 251–271. pmid:16079253
  15. 15. Connor KL, Challis JRG, van Zijl P, Rumball CW, Alix S, Jaquiery AL, et al. Do Alterations in Placental 11 beta-Hydroxysteroid Dehydrogenase (11 beta HSD) Activities Explain Differences in Fetal Hypothalamic-Pituitary-Adrenal (HPA) Function Following Periconceptional Undernutrition or Twinning in Sheep? Reproductive Sciences. 2009;16: 1201–1212. pmid:19767539
  16. 16. LangleyEvans S, Phillips G, Benediktsson R, Gardner D, Edwards C, Jackson A, et al. Protein intake in pregnancy, placental glucocorticoid metabolism and the programming of hypertension in the rat. Placenta. 1996;17: 169–172. pmid:8730887
  17. 17. Cottrell EC, Holmes MC, Livingstone DE, Kenyon CJ, Seckl JR. Reconciling the nutritional and glucocorticoid hypotheses of fetal programming. Faseb Journal. 2012;26: 1866–1874. pmid:22321728
  18. 18. Stirrat LI, Reynolds RM. The effect of fetal growth and nutrient stresses on steroid pathways. J Steroid Biochem Mol Biol. 2016;160: 214–220. pmid:26196121
  19. 19. Mina TH, Raikkonen K, Riley SC, Norman JE, Reynolds RM. Maternal distress associates with placental genes regulating fetal glucocorticoid exposure and IGF2: Role of obesity and sex. Psychoneuroendocrinology. 2015;59: 112–122. pmid:26056743
  20. 20. Togher KL, O'Keeffe MM, Khashan AS, Gutierrez H, Kenny LC, O'Keeffe GW. Epigenetic regulation of the placental HSD11B2 barrier and its role as a critical regulator of fetal development. Epigenetics. 2014;9: 816–822. pmid:24717516
  21. 21. Bellisario V, Panetta P, Balsevich G, Baumann V, Noble J, Raggi C, et al. Maternal high-fat diet acts as a stressor increasing maternal glucocorticoids' signaling to the fetus and disrupting maternal behavior and brain activation in C57BL/6J mice. Psychoneuroendocrinology. 2015;60: 138–150. pmid:26143538
  22. 22. Sasson IE, Vitins AP, Mainigi MA, Moley KH, Simmons RA. Pre-gestational vs gestational exposure to maternal obesity differentially programs the offspring in mice. Diabetologia. 2015;58: 615–624. pmid:25608625
  23. 23. Sferruzzi-Perri AN, Vaughan OR, Haro M, Cooper WN, Musial B, Charalambous M, et al. An obesogenic diet during mouse pregnancy modifies maternal nutrient partitioning and the fetal growth trajectory. Faseb Journal. 2013;27: 3928–3937. pmid:23825226
  24. 24. Diaz P, Powell TL, Jansson T. The Role of Placental Nutrient Sensing in Maternal-Fetal Resource Allocation. Biol Reprod. 2014;91: 82. pmid:25122064
  25. 25. Lager S, Samulesson A, Taylor PD, Poston L, Powell TL, Jansson T. Diet-induced obesity in mice reduces placental efficiency and inhibits placental mTOR signaling. Physiological Reports. 2014;2: e00242–e00242. pmid:24744907
  26. 26. King V, Hibbert N, Seckl JR, Norman JE, Drake AJ. The effects of an obesogenic diet during pregnancy on fetal growth and placental gene expression are gestation dependent. Placenta. 2013;34: 1087–1090. pmid:24090886
  27. 27. Stocker C, O'Dowd J, Morton NM, Wargent E, Sennitt MV, Hislop D, et al. Modulation of susceptibility to weight gain and insulin resistance in low birthweight rats by treatment of their mothers with leptin during pregnancy and lactation. International Journal of Obesity. 2004;28: 129–136. pmid:14557827
  28. 28. O'Connor DM, Blache D, Hoggard N, Brookes E, Wooding FBP, Fowden AL, et al. Developmental control of plasma leptin and adipose leptin messenger ribonucleic acid in the ovine fetus during late gestation: Role of glucocorticoids and thyroid hormones. Endocrinology. 2007;148: 3750–3757. pmid:17495000
  29. 29. McFarlane L, Truong V, Palmer JS, Wilhelm D. Novel PCR Assay for Determining the Genetic Sex of Mice. Sexual Development. 2013;7: 207–211. pmid:23571295
  30. 30. Ayala JE, Samuel VT, Morton GJ, Obici S, Croniger CM, Shulman GI, et al. Standard operating procedures for describing and performing metabolic tests of glucose homeostasis in mice. Disease Models & Mechanisms. 2010;3: 525–534.
  31. 31. Bowe JE, Franklin ZJ, Hauge-Evans AC, King AJ, Persaud SJ, Jones PM. METABOLIC PHENOTYPING GUIDELINES Assessing glucose homeostasis in rodent models. J Endocrinol. 2014;222: G13–G25. pmid:25056117
  32. 32. Andrikopoulos S, Blair AR, Deluca N, Fam BC, Proietto J. Evaluating the glucose tolerance test in mice. American Journal of Physiology-Endocrinology and Metabolism. 2008;295: E1323–E1332. pmid:18812462
  33. 33. Ngai YF, Quong WL, Glier MB, Glavas MM, Babich SL, Innis SM, et al. Ldlr(-/-) Mice Display Decreased Susceptibility to Western-Type Diet-Induced Obesity Due to Increased Thermogenesis. Endocrinology. 2010;151: 5226–5236. pmid:20881250
  34. 34. Taves MD, Plumb AW, Sandkam BA, Ma C, Van der Gugten JG, Holmes DT, et al. Steroid Profiling Reveals Widespread Local Regulation of Glucocorticoid Levels During Mouse Development. Endocrinology. 2015;156: 511–522. pmid:25406014
  35. 35. Jones HN, Woollett LA, Barbour N, Prasad PD, Powell TL, Jansson T. High-fat diet before and during pregnancy causes marked up-regulation of placental nutrient transport and fetal overgrowth in C57/BL6 mice. Faseb Journal. 2009;23: 271–278. pmid:18827021
  36. 36. Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Research. 2001;29: e45. pmid:11328886
  37. 37. Christians JK, de Zwaan DR, Fung SHY. Pregnancy Associated Plasma Protein A2 (PAPP-A2) Affects Bone Size and Shape and Contributes to Natural Variation in Postnatal Growth in Mice. Plos One. 2013;8: e56260. pmid:23457539
  38. 38. Chin EH, Christians JK. When are sex-specific effects really sex-specific? Journal of Developmental Origins of Health and Disease. 2015;6: 438–442. pmid:26283072
  39. 39. Mark PJ, Augustus S, Lewis JL, Hewitt DP, Waddell BJ. Changes in the Placental Glucocorticoid Barrier During Rat Pregnancy: Impact on Placental Corticosterone Levels and Regulation by Progesterone. Biol Reprod. 2009;80: 1209–1215. pmid:19208548
  40. 40. Garland T Jr., Schutz H, Chappell MA, Keeney BK, Meek TH, Copes LE, et al. The biological control of voluntary exercise, spontaneous physical activity and daily energy expenditure in relation to obesity: human and rodent perspectives. J Exp Biol. 2011;214: 206–229. pmid:21177942
  41. 41. Garbrecht MR, Lamb FS. Placental HSD2 Expression and Activity Is Unaffected by Maternal Protein Consumption or Gender in C57BL/6 Mice. ISRN Endocrinol. 2013;2013: 867938. pmid:23781346
  42. 42. Ainge H, Thompson C, Ozanne SE, Rooney KB. A systematic review on animal models of maternal high fat feeding and offspring glycaemic control. Int J Obes. 2011;35: 325–335.
  43. 43. Stirrat LI, O'Reilly JR, Barr SM, Andrew R, Riley SC, Howie AF, et al. Decreased maternal hypothalamic-pituitary-adrenal axis activity in very severely obese pregnancy: Associations with birthweight and gestation at delivery. Psychoneuroendocrinology. 2016;63: 135–143. pmid:26444587
  44. 44. Ingvorsen C, Thysen AH, Fernandez-Twinn D, Nordby P, Nielsen KF, Ozanne SE, et al. Effects of pregnancy on obesity-induced inflammation in a mouse model of fetal programming. Int J Obes. 2014;38: 1282–1289.
  45. 45. Rosario FJ, Kanai Y, Powell TL, Jansson T. Increased placental nutrient transport in a novel mouse model of maternal obesity with fetal overgrowth. Obesity. 2015;23: 1663–1670. pmid:26193061
  46. 46. Tessier DR, Ferraro ZM, Gruslin A. Role of leptin in pregnancy: Consequences of maternal obesity. Placenta. 2013;34: 205–211. pmid:23332215
  47. 47. Sferruzzi-Perri AN, Vaughan OR, Forhead AJ, Fowden AL. Hormonal and nutritional drivers of intrauterine growth. Curr Opin Clin Nutr Metab Care. 2013;16: 298–309. pmid:23340010
  48. 48. Gaccioli F, Lager S, Powell TL, Jansson T. Placental transport in response to altered maternal nutrition. Journal of Developmental Origins of Health and Disease. 2013;4: 101–115. pmid:25054676
  49. 49. Kim DW, Young SL, Grattan DR, Jasoni CL. Obesity During Pregnancy Disrupts Placental Morphology, Cell Proliferation, and Inflammation in a Sex-Specific Manner Across Gestation in the Mouse. Biol Reprod. 2014;90: 130. pmid:24829026
  50. 50. King V, Norman JE, Seckl JR, Drake AJ. Post-weaning diet determines metabolic risk in mice exposed to overnutrition in early life. Reproductive Biology and Endocrinology. 2014;12: 73. pmid:25082159
  51. 51. King V, Dakin RS, Liu L, Hadoke PWF, Walker BR, Seckl JR, et al. Maternal Obesity Has Little Effect on the Immediate Offspring but Impacts on the Next Generation. Endocrinology. 2013;154: 2514–2524. pmid:23696566