Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-26T03:06:26.407Z Has data issue: false hasContentIssue false

Sugared water consumption by adult offspring of mothers fed a protein-restricted diet during pregnancy results in increased offspring adiposity: the second hit effect

Published online by Cambridge University Press:  14 October 2013

M. Cervantes-Rodríguez
Affiliation:
Doctorado en Neuroetología, Universidad Veracruzana, Xalapa, Veracruz, Mexico Licenciatura en Nutrición, Facultad de Ciencias de la Salud, Universidad Autónoma de Tlaxcala, Tlaxcala, Tlaxcala, Mexico
M. Martínez-Gómez
Affiliation:
Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Unidad Periférica Tlaxcala, UNAM, Universidad Nacional Autónoma de México, D.F., Mexico
E. Cuevas
Affiliation:
Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Carretera Federal Tlaxcala-Puebla S/N, Km 1.5, Tlaxcala, Tlaxcala, Mexico
L. Nicolás
Affiliation:
Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Carretera Federal Tlaxcala-Puebla S/N, Km 1.5, Tlaxcala, Tlaxcala, Mexico
F. Castelán
Affiliation:
Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Carretera Federal Tlaxcala-Puebla S/N, Km 1.5, Tlaxcala, Tlaxcala, Mexico
P. W. Nathanielsz
Affiliation:
Center for Pregnancy and Newborn Research, University of Texas Health Sciences Center, San Antonio, TX, USA
E. Zambrano*
Affiliation:
Departamento de Biología de la Reproducción, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Sección XVI, Tlalpan14000, D.F., Mexico
J. Rodríguez-Antolín*
Affiliation:
Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Carretera Federal Tlaxcala-Puebla S/N, Km 1.5, Tlaxcala, Tlaxcala, Mexico
*
*Corresponding authors: E. Zambrano, fax +52 55 5655 9859, email [email protected], [email protected]; J. Rodríguez-Antolín, fax +52 246 46 215 57, email [email protected], [email protected]
*Corresponding authors: E. Zambrano, fax +52 55 5655 9859, email [email protected], [email protected]; J. Rodríguez-Antolín, fax +52 246 46 215 57, email [email protected], [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Poor maternal nutrition predisposes offspring to metabolic disease. This predisposition is modified by various postnatal factors. We hypothesised that coupled to the initial effects of developmental programming due to a maternal low-protein diet, a second hit resulting from increased offspring postnatal sugar consumption would lead to additional changes in metabolism and adipose tissue function. The objective of the present study was to determine the effects of sugared water consumption (5 % sucrose in the drinking-water) on adult offspring adiposity as a ‘second hit’ following exposure to maternal protein restriction during pregnancy. We studied four offspring groups: (1) offspring of mothers fed the control diet (C); (2) offspring of mothers fed the restricted protein diet (R); (3) offspring of control mothers that drank sugared water (C-S); (4) offspring of restricted mothers that drank sugared water (R-S). Maternal diet in pregnancy was considered the first factor and sugared water consumption as the second factor – the second hit. Body weight and total energy consumption, before and after sugared water consumption, were similar in all the groups. Sugared water consumption increased TAG, insulin and cholesterol concentrations in both the sexes of the C-S and R-S offspring. Sugared water consumption increased leptin concentrations in the R-S females and males but not in the R offspring. There was also an interaction between sugared water and maternal diet in males. Sugared water consumption increased adipocyte size and adiposity index in both females and males, but the interaction with maternal diet was observed only in females. Adiposity index and plasma leptin concentrations were positively correlated in both the sexes. The present study shows that a second hit during adulthood can amplify the effects of higher adiposity arising due to poor maternal pregnancy diet in an offspring sex dependent fashion.

Type
Full Papers
Copyright
Copyright © The Authors 2013 

Decreased maternal nutrient delivery to the fetus results in impaired fetal development and subsequent postnatal developmental problems(Reference Warner and Ozanne1). Several models of decreased maternal nutrition(Reference Yura, Itoh and Sagawa2, Reference Kumon, Yamamoto and Takahashi3) including protein restriction(Reference Zambrano, Bautista and Deas4Reference Harrison and Langley-Evans6) have been studied in attempts to understand developmental programming – the process through which nutritional or other challenges during a critical window of fetal or neonatal development elicit persistent responses that produce long-term changes in offspring phenotype(Reference Langley-Evans7). There is compelling evidence that developmental programming results from poor maternal nutrition from human epidemiological(Reference Barker, Osmond and Golding8Reference Fabricius-Bjerre, Jensen and Faerch10) and animal studies(Reference Minana-Solis Mdel and Escobar5, Reference Armitage, Khan and Taylor11Reference Alexander13), where the variation in nutrient supply during early development appears to be a strong signal initiating adaptive developmental processes(Reference Nathanielsz14).

Developmental programming by poor maternal nutrition predisposes to adult obesity(Reference Yura, Itoh and Sagawa2, Reference Barker, Osmond and Golding8, Reference Poskitt9). In rodents, maternal protein restriction during gestation followed by accelerated postnatal growth is a risk factor for offspring obesity, hepatic steatosis, hypertension and insulin resistance(Reference Harrison and Langley-Evans6, Reference Brawley, Itoh and Torrens15Reference Erhuma, Salter and Sculley17). The determination of the direct effect of a restricted diet on the developing fetus and neonate has been the central focus of many studies(Reference Zambrano, Bautista and Deas4, Reference Minana-Solis Mdel and Escobar5, Reference Erhuma, Salter and Sculley17, Reference Bellinger, Lilley and Langley-Evans18). In addition to the direct effect of a specific developmental challenge, lifestyle factors occurring in later life can act as a ‘second hit’ interacting with the initial programmed phenotype. Thus, nutritional restriction during pregnancy can interact with later-life offspring high-fat diet or hyperenergetic nutrition to produce further changes in offspring metabolic phenotype(Reference Yura, Itoh and Sagawa2, Reference Vickers, Breier and Cutfield19Reference Yates, Tarling and Langley-Evans21). A few studies have been carried out to evaluate the effects of a second hit of high fructose in adulthood on programming by exposure to restricted diets during fetal development(Reference Cambri, Ghezzi and Ribeiro22). We hypothesised that a second hit resulting from increased offspring postnatal sugar consumption would lead to changes in adipose tissue function that are coupled to the initial effects of developmental programming due to a low-protein diet. Therefore, in the present study, we determined the effects of sugared water (5% sucrose in drinking-water) consumption on adult offspring adiposity as a ‘second hit’ following exposure to maternal protein restriction during pregnancy.

Materials and methods

Animal care and maintenance

Animals and diet

All animal procedures were approved by the Bioethics Committee of the Centro Tlaxcala de Biología de la Conducta of the Universidad Autónoma de Tlaxcala, according to the Mexican Guide for Animal Care. All rats were maintained under a 12 h light–12 h dark cycle at a controlled temperature of 18–22°C and humidity of 40 % and were given ad libitum access to food and water throughout the experimental period.

Maternal diet

The details of maternal protein restriction and animal maintenance have been published previously(Reference Zambrano, Rodriguez-Gonzalez and Guzman23). Briefly, twenty-two female Wistar rats aged 14 weeks and with a body weight of 200–240 g were mated with a proven adult male breeder. Upon confirmation of mating by the presence of a semen plug in the vagina, females were randomly allocated to one of two groups: a control group fed a 20 % casein diet and a protein-restricted group fed a 10 % casein diet throughout gestation. The two diets had the same fat and energy composition. At delivery (day 22), all the mothers were fed standard Purina Laboratory Chow 5001. Pregnant and lactating rats were weighed every day until the pups were removed at weaning on postnatal day 21.

Morphometric measurements at birth

Litter size and pup weight were recorded, and body length, head diameter, abdominal diameter and anogenital distance were measured using calipers. All litters were adjusted to nine or ten pups, and the sex ratio was maintained as close to 1:1 as possible. The pups were weighed daily during lactation.

After weaning, all the offspring were fed the standard chow diet Purina 5001 and weighed weekly. Since high sucrose intakes can affect food intake, we first carried out a pilot study to establish the effect of different sucrose intakes on food intake. Food intake was reduced by 74, 57 and 40 % when 30, 15 and 5 % of sucrose (respectively) was provided in the drinking-water. Therefore, we decided to use 5 % sucrose to minimise this effect. At 12 weeks of age, the pups were randomly assigned to one of two groups given the standard control diet alone or the standard control diet plus 5 % sucrose available ad libitum in the drinking-water (a higher concentration has been used in other studies)(Reference El Hafidi, Cuellar and Ramirez24, Reference Aguilera, Diaz and Barcelata25). Thus, four groups of each offspring sex were formed: offspring of mothers fed the control diet that remained on the control diet throughout the study (C); offspring of mothers on the restricted diet that remained on the control diet throughout the study (R); offspring of mothers maintained on the control diet that had access to sugar in the drinking-water in adulthood (C-S); offspring of mothers maintained on the restricted diet that had access to sugar in the drinking-water in adulthood (R-S). The offspring feeding protocol was followed for 10 weeks, during which body weight and water and food intakes were recorded daily and calculated weekly. Herein, we report only data obtained in the final week.

Metabolite measurements

At the end of the experimental period, glucose concentrations were measured in tail blood samples collected between 09.00 and 11.00 hours (Accutrend GCT analyser, Roche Diagnostics). The rats were decapitated using a rodent guillotine. Blood was collected, allowed to clot and centrifuged (3000 g for 10 min) to obtain serum.

TAG and cholesterol concentrations were measured using commercial kits obtained from Stanbio Laboratory, Inc. The intra- and inter-assay CV were, respectively, < 6 and < 7 % for TAG and < 4 and 4 % for cholesterol.

Insulin and leptin concentrations were measured by RIA using commercial rat kits obtained from Linco Research, Inc., as reported elsewhere(Reference Zambrano, Bautista and Deas4). The intra- and inter-assay CV were, respectively, < 4 and < 6 % for insulin and < 4 and < 5 % for leptin.

Fat depot measurements

The pericardial fat depot around the heart; gonadal fat around the epididymis or ovaries; visceral fat located inside the peritoneal cavity around the internal organs were dissected(Reference Roca-Rivada, Alonso and Al-Massadi26). All the fat pads were weighed. Adiposity index was calculated as total adipose tissue (g) divided by body weight (g).

Adipocyte size measurements

A random sample of visceral adipose tissue was fixed in neutral formalin (10 % formaldehyde and 0·1 m-phosphate buffer, pH 7) for 24 h at room temperature. The sample was embedded in paraffin, and serial 6 μm sections were cut using a microtome and stained with haematoxylin and eosin. Photomicrographs were obtained at a magnification of × 400 using an optical microscope (Axio Imager A1, Zeiss) equipped with an Olympus digital camera with a resolution of 5·1 megapixels. Adipocyte area was measured using the AxioVision Rel 4.6 (Zeiss Software, Inc.) software, and it is expressed as μm2. Adipocyte area was measured in cells completely enclosed within the field in six fields for each rat. Average adipocyte area was calculated for each rat within each group, and an overall mean of the averages was determined for comparisons among the groups.

Statistical analyses

Throughout the text, n 11 refers to pups from different litters. From each dam at random, one pup of the same sex was selected. Data are presented as means with their standard errors, unless stated otherwise, and analysed using one-way ANOVA for comparison of diets and two-way ANOVA for comparison of the combined effects of protein restriction and sucrose consumption. Maternal diet was considered as the first independent variable and sugared water consumption as the second independent variable. Where ANOVA indicated a significant (P< 0·05) effect of treatments, a post hoc test was carried out using the Bonferroni correction. Correlations were made using Pearson's correlation. Exact Fisher's test was used to compare the percentage of area according to adipocyte size bin. All statistical analyses were carried out using the program GraphPad Prism (version 5.01 for Windows).

Results

Maternal weight gain and food intake

Control mothers weighed 216 (sem 4) g at the start of gestation and 331 (sem 8) g at the end, a weight gain of 52 %, while the restricted mothers weighed 219 (sem 4) g at the start of gestation and 324 (sem 8) g at the end, a 48 % increase in body weight. These values were not significantly different.

Food intake during pregnancy was similar for both the groups: the control rats consumed 529 (sem 31) g during gestation, while the restricted rats consumed 542 (sem 31) g (P= 0·7).

Pups at birth

Maternal diet had no effect on litter size (C: 11·3 (sem 0·6) and R: 11·01 (sem 0·6), pups/litter) or pup birth weight, body length, and head and abdominal diameter at birth (Table 1). The only effect of maternal diet was the increase in the anogenital distance in both male and female offspring of the restricted mothers (Table 1).

Table 1 Morphometric measurements at birth (Mean values with their standard errors, n 11 litters)

C, offspring of mothers fed the control diet; R, offspring of mothers fed the restricted diet.

* Mean values were significantly different from those of the control group of the same sex (P <0·05).

Offspring body weight and food intake before sugared water consumption

Within each sex, pup weight was similar during lactation. Offspring growth and food intake from weaning to 12 weeks of age did not differ in females and males among the groups. Before sugared water consumption, the control females weighed 219·3 (sem 7·8) g and the restricted females 210·9 (sem 7·8) g (P= 0·8), while the control males weighed 305·9 (sem 7·6) g and the restricted males 306·1 (sem 7·8) g (P= 0·9).

Body weight and water, food and energy intakes from 12 to 22 weeks

Sugared water consumption for a period of 10 weeks did not change body weight in either females or males. Groups that consumed water with sugar (C-S and R-S) increased their water consumption by 200 % and decreased their food intake by 40 %. As a result, total energy consumption did not change (Table 2).

Table 2 Food, water and energy intake measurements at 22 weeks of age and after 10 weeks of sugared water (SW) consumption (Mean values with their standard errors, n 11)

C, offspring of mothers fed the control diet; C-S, offspring of control mothers that drank SW (from week 12 to week 22); R, offspring of mothers fed the restricted diet; R-S, offspring of restricted mothers that drank SW (from week 12 to week 22); MD, maternal diet.

* Mean values were significantly different from those of the C group (P< 0·05).

Mean values were significantly different from those of the R group (P< 0·05).

Metabolite measurements

In both male and female offspring, serum glucose concentrations were not altered by the sugared water challenge or the diet (Fig. 1). Sugared water consumption increased insulin, TAG and cholesterol concentrations in both the sexes. Sugared water consumption increased leptin concentrations in the restricted female offspring and in the control and restricted male offspring. Maternal protein restriction increased leptin concentrations in males in both the R and R-S groups; there was also an interaction between sugared water and maternal diet in male offspring with regard to leptin concentrations (Fig. 1).

Fig. 1 Serum metabolite concentrations of female ((a)–(e)) and male ((f)–(j)) offspring rats aged 22 weeks, after 10 weeks of sugared water challenge. □, Groups without sugared water; , groups with sugared water. Values are means (n 11), with standard errors represented by vertical bars. Analysis was by two-way ANOVA with Bonferroni's correction. * Mean value was significantly different from that of offspring of dams that had received the control maternal diet (P< 0·01; maternal diet effect). † Mean value was significantly different from that of the offspring that had not received the sugared water (P< 0·01; sugared water effect). ‡ Maternal diet–sugared water interaction (P< 0·01).

Fat depots

Sugared water consumption increased the amount of all the fat depots in both the sexes, except that of pericardial fat in male offspring (P= 0·09, Table 3). Maternal protein restriction increased all the variables, except gonadal fat in females. There were no interactions between sugared water and maternal diet with regard to the fat depots, except for visceral fat in females (Table 3).

Table 3 Fat depot measurements (Mean values with their standard errors, n 11)

C, offspring of mothers fed the control diet; C-S offspring of control mothers that drank sugared water (SW); R, offspring of mothers fed the restricted diet; R-S, offspring of restricted mothers that drank SW; MD, maternal diet.

** Mean values were significantly different from those of the C group (P< 0·01, two-way ANOVA and Bonferroni correction).

†† Mean values were significantly different from those of the C-S group (P< 0·01, two-way ANOVA and Bonferroni correction).

‡‡ Mean values were significantly different from those of the C group (P< 0·01).

§§ Mean values were significantly different from those of the R group (P< 0·01).

Rats at 22 weeks of age and after 10 weeks of SW consumption.

Sugared water consumption and maternal protein restriction increased the adiposity index in both the sexes, but an interaction between sugared water and maternal diet was observed only in female offspring (Fig. 2).

Fig. 2 Body weight, weight of fat pads and adiposity index of female ((a)–(c)) and male ((d)–(f)) offspring rats aged 22 weeks, after 10 weeks of sugared water challenge. □, Groups without sugared water; ■, groups with sugared water. Values are means (n 11), with standard errors represented by vertical bars. Analysis was by two-way ANOVA with Bonferroni's correction. * Mean value was significantly different from that of offspring of dams that had received the control maternal diet (P< 0·01; maternal diet effect). † Mean value was significantly different from that of the offspring that had not received the sugared water (P< 0·01; sugared water effect). ‡ Maternal diet–sugared water interaction (P< 0·01).

Adipocyte size and its relative distribution

Sugared water consumption increased adipocyte size in both male and female offspring (Fig. 3(a) and (f)). Maternal diet affected adipocyte size and showed an interaction with diet in females but not in males. Sugared water consumption increased the proportion of larger adipocytes in both female (Fig. 3(b)–(e)) and male (Fig. 3(g)–(j)) offspring.

Fig. 3 Adipocyte size of (a) female and (f) male offspring rats aged 22 weeks, after 10 weeks of sugared water challenge. □, Groups without sugared water; ■, groups with sugared water. Values are means (n 11), with standard errors represented by vertical bars. Analysis was by two-way ANOVA with Bonferroni's correction. * Mean value was significantly different from that of offspring of dams that had received the control maternal diet (P< 0·01; maternal diet effect). † Mean value was significantly different from that of the offspring that had not received the sugared water (P< 0·01; sugared water effect). ‡ Maternal diet–sugared water interaction (P< 0·01). Relative distributions of adipocyte size and representative photomicrographs: female offspring from control group (b), control group with sugared water (c), restricted group (d), restricted group with sugared water (e); male offspring from control group (g), control group with sugared water (h), restricted group (i), restricted group with sugared water (j). Analysis was by Fisher's test. * Mean value was significantly different from that of offspring of dams that had received the control maternal diet (P< 0·01; maternal diet effect). † Mean value was significantly different from that of the offspring that had not received the sugared water (P< 0·05; sugared water effect). (A colour version of this figure can be found online at http://journals.cambridge.org/bjn).

Correlation studies

In females, leptin concentrations were positively correlated with TAG concentrations. Leptin concentrations were correlated with adiposity in both the sexes and with adipocyte size in males (Fig. 4).

Fig. 4 Correlation of leptin and TAG concentrations in (a) females (P= 0·05; r 0·3) and (b) males (P= 0·3; r 0·2); correlation of leptin concentrations and adiposity index in (c) females (P= 0·04; r 0·3) and (d) males (P= 0·0001; r 0·8); and correlation of leptin concentrations and adipocyte size in (e) females (P= 0·5; r 0·1) and (f) males (P= 0·01; r 0·4). ○, Offspring of mothers fed the control diet; ●, offspring of control mothers that drank sugared water; ▽, offspring of mothers fed the restricted diet; ▾, offspring of restricted mothers that drank sugared water; n 44.

Discussion

Fetal undernutrition occurs throughout the world as a result of many different factors(Reference Poskitt9, Reference Godfrey, Barker and Robinson27, Reference Potera28). In developing countries, maternal diet is often specifically protein restricted or is globally energy deficient(Reference Victora, Adair and Fall29). This phenomenon is particularly prevalent in rural populations and areas where education levels are low(Reference Watson and McDonald30, Reference Zhang, Yi and Fang31). The developmental consequences of poor maternal and fetal nutrition have been addressed in many human epidemiological and animal research studies(Reference Zambrano, Bautista and Deas4Reference Fabricius-Bjerre, Jensen and Faerch10, Reference Alexander13, Reference Nathanielsz14). Offspring exposed to poor fetal nutrition encounter many other challenges in their environment throughout life that may interact as a second hit with the programmed phenotype. For example, following poor fetal nutrition, increased food availability during lactation leads to catch-up growth and metabolic problems in later life(Reference Bieswal, Ahn and Reusens32, Reference Watkins, Lucas and Wilkins33). Greater nutrient availability due to migration or improvement of living standards with the incorporation of a Western-style high-carbohydrate diet may constitute a ‘second hit’ for individuals undernourished during development(Reference Lozada, Flores and Rodriguez34, Reference Thompson, McNeel and Dowling35). This combination of the ‘thrifty phenotype’(Reference Hales and Barker36) and later-life overnutrition may play an important role in the current epidemic of obesity worldwide, which is manifesting itself at very young ages(Reference Warner and Ozanne1).

The rat maternal protein restriction model has been used by many investigators(Reference Zambrano, Bautista and Deas4Reference Langley-Evans7) and shown to predispose offspring to hypertension, dyslipidaemia and insulin resistance(Reference Minana-Solis Mdel and Escobar5, Reference Harrison and Langley-Evans6, Reference Brawley, Itoh and Torrens15) associated with increased serum TAG, cholesterol and leptin concentrations in adult offspring(Reference Zambrano, Bautista and Deas4, Reference Zambrano, Rodriguez-Gonzalez and Guzman23). As has been shown previously, in the present study, the protein-restricted mothers had a body weight similar to that of the control mothers during gestation(Reference Bellinger, Lilley and Langley-Evans18, Reference Bautista, Boeck and Larrea37). The only difference in the pups at birth was the increase in the anogenital distance; we have previously reported this difference for both male and female offspring. The probable cause for this is the increase in maternal serum steroid levels(Reference Zambrano, Rodriguez-Gonzalez and Guzman23, Reference Guzman, Cabrera and Cardenas38).

After weaning, the growth trajectory before sugared water consumption in offspring of the control and restricted mothers was similar to that reported previously(Reference Zambrano, Bautista and Deas4, Reference Erhuma, Bellinger and Langley-Evans20, Reference Zambrano, Rodriguez-Gonzalez and Guzman23). No differences in weight were observed between the groups since rats in the sugared water groups adapted to the energy in sugared water by reducing solid food intake. This is consistent with rodent models that use very high concentrations of sucrose in the water, e.g. 30 % sucrose(Reference El Hafidi, Cuellar and Ramirez24), or a high-fat content diet(Reference Erhuma, Bellinger and Langley-Evans20) and indicates that rodents regulate their total energy intake successfully at least for the period of the challenge imposed. Although rodents have been used extensively for this type of study, rodent species have some limitations since humans and other precocial species such as sheep tend to not regulate intake as precisely as rodents and gain weight in similar situations(Reference Metges39, Reference Wang, Ma and Tong40). In addition, the decreased chow intake will result in lower levels of protein and other nutrients in animals drinking sugared water. This pattern of food intake resembles that in migrants who were undernourished during their development and then moved to a society where relative proportions of carbohydrate and other nutrients in the diet change due to economics and availability(Reference Satia-Abouta, Patterson and Neuhouser41).

Sugared water consumption stimulated sufficient insulin secretion to maintain normoglycaemia and increased TAG, cholesterol and leptin concentrations in both the sexes. Studies carried out by Cambri et al. (Reference Cambri, Ghezzi and Ribeiro22) have reported similar findings, i.e. a fructose-rich diet increases TAG and cholesterol concentrations. The major production of endogenous cholesterol and TAG is from hepatic acetyl CoA from the metabolism of glucose and fructose(Reference Saltiel and Kahn42).

The present results show that sugared water consumption leads to hyperinsulinaemia in male and female offspring. Similar results have been reported in experimental models with high sucrose concentrations(Reference El Hafidi, Cuellar and Ramirez24, Reference Aguilera, Diaz and Barcelata25, Reference Oron-Herman, Kamari and Grossman43). By contrast, other researches have not found any difference in insulin concentrations in adulthood in offspring of mothers fed a protein-restricted diet during gestation after consumption of a fructose-rich diet(Reference Cambri, Ghezzi and Ribeiro22). Differences may be due to the form in which fructose is ingested, either directly as such or as present in the sucrose molecule.

In the study carried out by Cambri et al. (Reference Cambri, Ghezzi and Ribeiro22), high fructose consumption has been shown to impair body weight gain and reduce the weight of some adipose depots independently of the nutritional state during fetal life. By contrast, the present results indicate an accumulative effect of negative intra-uterine condition coupled to a second hit in adulthood, such as the observation of the increase in serum leptin concentrations in male offspring of mothers fed the protein-restricted diet and with sugared water consumption. Previous studies have shown that serum leptin concentrations in male offspring of mothers fed a protein-restricted diet are increased(Reference Zambrano, Bautista and Deas4, Reference Bautista, Boeck and Larrea37). The present results suggest a predisposition to hyperleptinaemia established by the prenatal stage with amplification by sugared water in the adulthood. Similar data have been reported by other authors using fetal undernutrition and postnatal hyperenergetic diet as experimental model(Reference Vickers, Breier and Cutfield19). This observation demonstrates leptin resistance associated with hyperleptinaemia and higher adiposity.

In the present model, the fat depots of all the groups were affected by maternal dietary restriction and sugared water consumption. Some reports have reported a correlation between maternal protein restriction intake and higher adiposity(Reference Erhuma, Bellinger and Langley-Evans20, Reference Chamson-Reig, Thyssen and Hill44). The present results indicate lower food intakes but similar energy intakes with higher adiposity and concentrations of insulin and leptin, which might play a role as lipogenic hormones that regulate metabolism and energy expenditure(Reference Otero, Lago and Lago45, Reference Bastard, Maachi and Lagathu46). These data are supported by the positive correlation found between serum leptin concentrations and adiposity index. Circulating leptin concentrations are proportional to adipose tissue mass.

In the present study, the increase in both body adiposity and serum leptin concentrations, which are clear indicators of obesity(Reference Lafontan and Girard47), in the 22-week-old offspring of restricted mothers subsequently exposed to 5 % sugared water indicates the synergic actions between fetal and neonatal environment and the second hit in adulthood.

One potential mechanism that may affect adipocyte size is increased hepatic TAG storage. Maternal protein restriction promotes the hepatic expression of PPARα RNA(Reference Lillycrop, Phillips and Torrens48), which together with PPARγ regulates adipocyte growth and metabolism(Reference Hihi, Michalik and Wahli49).

The present results suggest that there are sex differences related to adipocyte size. Oestradiol and testosterone are essential for the maintenance of energy homeostasis in both females and males(Reference Shi and Clegg50). Indeed, the effects of oestradiol through interactions with oestrogen receptors are relevant for carbohydrate metabolism, as has been described for rodents(Reference Shi and Clegg50Reference Mauvais-Jarvis52). Further studies are required to determine whether sex differences in the increase in adipocyte size are related to androgenic and oestrogenic actions. In the present study, differences in the results obtained for male and female rats indicate an interaction between sex and metabolism(Reference Shi and Clegg50Reference Mauvais-Jarvis52).

In summary, the present results suggest that adipocyte metabolism and development depend on both intra-uterine and postnatal nutritional conditions. We propose that the intake of carbohydrate-enriched beverages could promote the expression or accentuation of mechanisms that may have been programmed by adverse intra-uterine conditions but are accentuated when challenged by a second hit. Furthermore, there is the possibility that the latter effects are influenced by subject sex. Postnatal environmental factors are major enhancers to be considered in the aetiology of adult metabolic illness.

Acknowledgements

The authors thank Laura García Rivera, Iván Bravo, Eliut Pérez and Claudia Bautista for their excellent technical assistance. They also thank Miguel Acuña and Martín Serrano Meneses for editing the language of the manuscript.

The present study was partially supported by grants from CONACYT (105882 to M. M.-G., 155166 to E. Z., and 93 494 to M. C.-R.); PAPIIT-UNAM (228110 to M. M.-G.); PROMEP/UATx (UATLAX-233 to M. C.-R., Red de Cuerpos Académicos ‘Fisiología, Farmacología y Biología Molecular de la Conducta’); and Universidad Autónoma de Tlaxcala (Proyecto CACyPI-UATx-2013). The latter funders had no role in the design and analysis of the study or in the writing of this article.

The authors' contributions were as follows: M. C.-R. was responsible for data collection and management and manuscript writing; M. M.-G. was responsible for manuscript writing and obtaining funds; L. N., F. C. and E. C. collected and managed the data; P. W. N. was involved in study design and manuscript writing/editing; E. Z. was responsible for study design, manuscript writing/editing, and obtaining funds; J. R.-A. was responsible for study design, manuscript writing/editing, obtaining funds, project development.

None of the authors has a financial or personal relationship with other people or organisations that could inappropriately influence or bias the content of this paper.

References

1Warner, MJ & Ozanne, SE (2010) Mechanisms involved in the developmental programming of adulthood disease. Biochem J 427, 333347.Google Scholar
2Yura, S, Itoh, H, Sagawa, N, et al. (2005) Role of premature leptin surge in obesity resulting from intrauterine undernutrition. Cell Metab 1, 371378.Google Scholar
3Kumon, M, Yamamoto, K, Takahashi, A, et al. (2010) Maternal dietary restriction during lactation influences postnatal growth and behavior in the offspring of mice. Neurochem Int 57, 4350.Google Scholar
4Zambrano, E, Bautista, CJ, Deas, M, et al. (2006) A low maternal protein diet during pregnancy and lactation has sex- and window of exposure-specific effects on offspring growth and food intake, glucose metabolism and serum leptin in the rat. J Physiol 571, 221230.CrossRefGoogle ScholarPubMed
5Minana-Solis Mdel, C & Escobar, C (2007) Increased susceptibility to metabolic alterations in young adult females exposed to early malnutrition. Int J Biol Sci 3, 1219.Google Scholar
6Harrison, M & Langley-Evans, SC (2009) Intergenerational programming of impaired nephrogenesis and hypertension in rats following maternal protein restriction during pregnancy. Br J Nutr 101, 10201030.Google Scholar
7Langley-Evans, SC (2006) Developmental programming of health and disease. Proc Nutr Soc 65, 97105.Google Scholar
8Barker, DJ, Osmond, C, Golding, J, et al. (1989) Growth in utero, blood pressure in childhood and adult life, and mortality from cardiovascular disease. BMJ 298, 564567.Google Scholar
9Poskitt, EM (2009) Countries in transition: underweight to obesity non-stop? Ann Trop Paediatr 29, 111.CrossRefGoogle ScholarPubMed
10Fabricius-Bjerre, S, Jensen, RB, Faerch, K, et al. (2011) Impact of birth weight and early infant weight gain on insulin resistance and associated cardiovascular risk factors in adolescence. PLoS ONE 6, e20595.Google Scholar
11Armitage, JA, Khan, IY, Taylor, PD, et al. (2004) Developmental programming of the metabolic syndrome by maternal nutritional imbalance: how strong is the evidence from experimental models in mammals? J Physiol 561, 355377.Google Scholar
12Zambrano, E, Martinez-Samayoa, PM, Bautista, CJ, et al. (2005) Sex differences in transgenerational alterations of growth and metabolism in progeny (F2) of female offspring (F1) of rats fed a low protein diet during pregnancy and lactation. J Physiol 566, 225236.Google Scholar
13Alexander, BT (2010) Epigenetic changes in gene expression: focus on “The liver X-receptor gene promoter is hypermethylated in a mouse model of prenatal protein restriction”. Am J Physiol Regul Integr Comp Physiol 298, R272R274.Google Scholar
14Nathanielsz, PW (2006) Animal models that elucidate basic principles of the developmental origins of adult diseases. ILAR J 47, 7382.CrossRefGoogle ScholarPubMed
15Brawley, L, Itoh, S, Torrens, C, et al. (2003) Dietary protein restriction in pregnancy induces hypertension and vascular defects in rat male offspring. Pediatr Res 54, 8390.Google Scholar
16Langley-Evans, SC & Sculley, DV (2006) The association between birth weight and longevity in the rat is complex and modulated by maternal protein intake during fetal life. FEBS Lett 580, 41504153.Google Scholar
17Erhuma, A, Salter, AM, Sculley, DV, et al. (2007) Prenatal exposure to a low-protein diet programs disordered regulation of lipid metabolism in the aging rat. Am J Physiol Endocrinol Metab 292, 17021714.Google Scholar
18Bellinger, L, Lilley, C & Langley-Evans, SC (2004) Prenatal exposure to a maternal low-protein diet programmes a preference for high-fat foods in the young adult rat. Br J Nutr 92, 513520.Google Scholar
19Vickers, 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, 8387.Google Scholar
20Erhuma, A, Bellinger, L, Langley-Evans, SC, et al. (2007) Prenatal exposure to undernutrition and programming of responses to high-fat feeding in the rat. Br J Nutr 98, 517524.Google Scholar
21Yates, Z, Tarling, EJ, Langley-Evans, SC, et al. (2009) Maternal undernutrition programmes atherosclerosis in the ApoE*3-Leiden mouse. Br J Nutr 101, 11851194.Google Scholar
22Cambri, LT, Ghezzi, AC, Ribeiro, C, et al. (2010) Recovery of rat growth and lipid profiles in adult rats subjected to fetal protein malnutrition with a fructose-rich diet. Nutr Res 30, 156162.Google Scholar
23Zambrano, E, Rodriguez-Gonzalez, GL, Guzman, C, et al. (2005) A maternal low protein diet during pregnancy and lactation in the rat impairs male reproductive development. J Physiol 563, 275284.Google Scholar
24El Hafidi, M, Cuellar, A, Ramirez, J, et al. (2001) Effect of sucrose addition to drinking water, that induces hypertension in the rats, on liver microsomal Delta9 and Delta5-desaturase activities. J Nutr Biochem 12, 396403.Google Scholar
25Aguilera, AA, Diaz, GH, Barcelata, ML, et al. (2004) Effects of fish oil on hypertension, plasma lipids, and tumor necrosis factor-alpha in rats with sucrose-induced metabolic syndrome. J Nutr Biochem 15, 350357.Google Scholar
26Roca-Rivada, A, Alonso, J, Al-Massadi, O, et al. (2011) Secretome analysis of rat adipose tissues shows location-specific roles for each depot type. J Proteomics 74, 10681079.Google Scholar
27Godfrey, KM, Barker, DJ, Robinson, S, et al. (1997) Maternal birth weight and diet in pregnancy in relation to the infant's thinness at birth. Br J Obstet Gynaecol 104, 663667.Google Scholar
28Potera, C (2004) The opposite of obesity: undernutrition overwhelms the world's children. Environ Health Perspect 112, A802.Google Scholar
29Victora, CG, Adair, L, Fall, C, et al. (2008) Maternal and child undernutrition: consequences for adult health and human capital. Lancet 371, 340357.Google Scholar
30Watson, PE & McDonald, BW (2009) Major influences on nutrient intake in pregnant New Zealand women. Matern Child Health J 13, 695706.Google Scholar
31Zhang, F, Yi, C, Fang, G, et al. (2010) Dietary intakes and behaviours in pregnant women of Li ethnicity: a comparison of mountainous and coastal populations in southern China. Asia Pac J Clin Nutr 19, 236242.Google ScholarPubMed
32Bieswal, F, Ahn, MT, Reusens, B, et al. (2006) The importance of catch-up growth after early malnutrition for the programming of obesity in male rat. Obesity (Silver Spring) 14, 13301343.CrossRefGoogle ScholarPubMed
33Watkins, AJ, Lucas, ES, Wilkins, A, et al. (2011) Maternal periconceptional and gestational low protein diet affects mouse offspring growth, cardiovascular and adipose phenotype at 1 year of age. PLoS ONE 6, e28745.Google Scholar
34Lozada, AL, Flores, M, Rodriguez, S, et al. (2007) [Dietary patterns in Mexican adolescent girls. A comparison of two methods. National Nutrition Survey, 1999]. Salud Publica Mex 49, 263273.Google Scholar
35Thompson, FE, McNeel, TS, Dowling, EC, et al. (2009) Interrelationships of added sugars intake, socioeconomic status, and race/ethnicity in adults in the United States: National Health Interview Survey, 2005. J Am Diet Assoc 109, 13761383.Google Scholar
36Hales, CN & Barker, DJ (2001) The thrifty phenotype hypothesis. Br Med Bull 60, 520.CrossRefGoogle ScholarPubMed
37Bautista, CJ, Boeck, L, Larrea, F, et al. (2008) Effects of a maternal low protein isocaloric diet on milk leptin and progeny serum leptin concentration and appetitive behavior in the first 21 days of neonatal life in the rat. Pediatr Res 63, 358363.Google Scholar
38Guzman, C, Cabrera, R, Cardenas, M, et al. (2006) Protein restriction during fetal and neonatal development in the rat alters reproductive function and accelerates reproductive ageing in female progeny. J Physiol 572, 97108.Google Scholar
39Metges, CC (2009) Early nutrition and later obesity: animal models provide insights into mechanisms. Adv Exp Med Biol 646, 105112.Google Scholar
40Wang, J, Ma, H, Tong, C, et al. (2010) Overnutrition and maternal obesity in sheep pregnancy alter the JNK-IRS-1 signaling cascades and cardiac function in the fetal heart. FASEB J 24, 20662076.Google Scholar
41Satia-Abouta, J, Patterson, R, Neuhouser, M, et al. (2002) Dietary acculturation: applications to nutrition research and dietetics. Am J Diet Assoc 102, 11051118.Google Scholar
42Saltiel, AR & Kahn, CR (2001) Insulin signalling and the regulation of glucose and lipid metabolism. Nature 414, 799806.Google Scholar
43Oron-Herman, M, Kamari, Y, Grossman, E, et al. (2008) Metabolic syndrome: comparison of the two commonly used animal models. Am J Hypertens 21, 10181022.Google Scholar
44Chamson-Reig, A, Thyssen, SM, Hill, DJ, et al. (2009) Exposure of the pregnant rat to low protein diet causes impaired glucose homeostasis in the young adult offspring by different mechanisms in males and females. Exp Biol Med 234, 14251436.Google Scholar
45Otero, M, Lago, R, Lago, F, et al. (2005) Leptin, from fat to inflammation: old questions and new insights. FEBS Lett 579, 295301.Google Scholar
46Bastard, JP, Maachi, M, Lagathu, C, et al. (2006) Recent advances in the relationship between obesity, inflammation, and insulin resistance. Eur Cytokine Netw 17, 412.Google Scholar
47Lafontan, M & Girard, J (2008) Impact of visceral adipose tissue on liver metabolism. Part I: heterogeneity of adipose tissue and functional properties of visceral adipose tissue. Diabetes Metab 34, 317327.Google Scholar
48Lillycrop, KA, Phillips, ES, Torrens, C, et al. (2008) Feeding pregnant rats a protein-restricted diet persistently alters the methylation of specific cytosines in the hepatic PPAR alpha promoter of the offspring. Br J Nutr 100, 278282.Google Scholar
49Hihi, AK, Michalik, L & Wahli, W (2002) PPARs: transcriptional effectors of fatty acids and their derivatives. Cell Mol Life Sci 59, 790798.Google Scholar
50Shi, H & Clegg, DJ (2009) Sex differences in the regulation of body weight. Physiol Behav 97, 199204.Google Scholar
51Hill, JW, Elmquist, JK & Elias, CF (2008) Hypothalamic pathways linking energy balance and reproduction. Am J Physiol Endocrinol Metab 294, E827E832.Google Scholar
52Mauvais-Jarvis, F (2011) Estrogen and androgen receptors: regulators of fuel homeostasis and emerging targets for diabetes and obesity. Trends Endocrinol Metab 22, 2433.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Morphometric measurements at birth (Mean values with their standard errors, n 11 litters)

Figure 1

Table 2 Food, water and energy intake measurements at 22 weeks of age and after 10 weeks of sugared water (SW) consumption (Mean values with their standard errors, n 11)

Figure 2

Fig. 1 Serum metabolite concentrations of female ((a)–(e)) and male ((f)–(j)) offspring rats aged 22 weeks, after 10 weeks of sugared water challenge. □, Groups without sugared water; , groups with sugared water. Values are means (n 11), with standard errors represented by vertical bars. Analysis was by two-way ANOVA with Bonferroni's correction. * Mean value was significantly different from that of offspring of dams that had received the control maternal diet (P< 0·01; maternal diet effect). † Mean value was significantly different from that of the offspring that had not received the sugared water (P< 0·01; sugared water effect). ‡ Maternal diet–sugared water interaction (P< 0·01).

Figure 3

Table 3 Fat depot measurements∥ (Mean values with their standard errors, n 11)

Figure 4

Fig. 2 Body weight, weight of fat pads and adiposity index of female ((a)–(c)) and male ((d)–(f)) offspring rats aged 22 weeks, after 10 weeks of sugared water challenge. □, Groups without sugared water; ■, groups with sugared water. Values are means (n 11), with standard errors represented by vertical bars. Analysis was by two-way ANOVA with Bonferroni's correction. * Mean value was significantly different from that of offspring of dams that had received the control maternal diet (P< 0·01; maternal diet effect). † Mean value was significantly different from that of the offspring that had not received the sugared water (P< 0·01; sugared water effect). ‡ Maternal diet–sugared water interaction (P< 0·01).

Figure 5

Fig. 3 Adipocyte size of (a) female and (f) male offspring rats aged 22 weeks, after 10 weeks of sugared water challenge. □, Groups without sugared water; ■, groups with sugared water. Values are means (n 11), with standard errors represented by vertical bars. Analysis was by two-way ANOVA with Bonferroni's correction. * Mean value was significantly different from that of offspring of dams that had received the control maternal diet (P< 0·01; maternal diet effect). † Mean value was significantly different from that of the offspring that had not received the sugared water (P< 0·01; sugared water effect). ‡ Maternal diet–sugared water interaction (P< 0·01). Relative distributions of adipocyte size and representative photomicrographs: female offspring from control group (b), control group with sugared water (c), restricted group (d), restricted group with sugared water (e); male offspring from control group (g), control group with sugared water (h), restricted group (i), restricted group with sugared water (j). Analysis was by Fisher's test. * Mean value was significantly different from that of offspring of dams that had received the control maternal diet (P< 0·01; maternal diet effect). † Mean value was significantly different from that of the offspring that had not received the sugared water (P< 0·05; sugared water effect). (A colour version of this figure can be found online at http://journals.cambridge.org/bjn).

Figure 6

Fig. 4 Correlation of leptin and TAG concentrations in (a) females (P= 0·05; r 0·3) and (b) males (P= 0·3; r 0·2); correlation of leptin concentrations and adiposity index in (c) females (P= 0·04; r 0·3) and (d) males (P= 0·0001; r 0·8); and correlation of leptin concentrations and adipocyte size in (e) females (P= 0·5; r 0·1) and (f) males (P= 0·01; r 0·4). ○, Offspring of mothers fed the control diet; ●, offspring of control mothers that drank sugared water; ▽, offspring of mothers fed the restricted diet; ▾, offspring of restricted mothers that drank sugared water; n 44.