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Intrauterine protein restriction combined with early postnatal overfeeding was not associated with adult-onset obesity but produced glucose intolerance by pancreatic dysfunction


We investigated if whether intrauterine protein restriction in combination with overfeeding during lactation would cause adult-onset obesity and metabolic disorders. After birth, litters from dams fed with control (17% protein) and low protein (6% protein) diets were adjusted to a size of four (CO and LO groups, respectively) or eight (CC and LC groups, respectively) pups. All of the offspring were fed a diet containing 12% protein from the time of weaning until they were 90 d old. Compared to the CC and LC groups, the CO and LO groups had higher relative and absolute food intakes, oxygen consumption and carbon dioxide production; lower brown adipose tissue weight and lipid content and greater weight gain and absolute and relative white adipose tissue weight and absolute lipid content. Compared with the CO and CC rats, the LC and LO rats exhibited higher relative food intake, brown adipose tissue weight and lipid content, reduced oxygen consumption, carbon dioxide production and spontaneous activity, increased relative retroperitoneal adipose tissue weight and unaltered absolute white adipose tissue weight and lipid content. The fasting serum glucose was similar among the groups. The area under the glucose curve was higher in the LO and CO rats than in the LC and CC rats. The basal insulinemia and homeostasis model assessment of insulin resistance (HOMA-IR) were lower in the LO group than in the other groups. The total area under the insulin curve for the LO rats was similar to the CC rats, and both were lower than the CO and LC rats. Kitt was higher in the LO, LC and CO groups than in the CC group. Thus, intrauterine protein restriction followed by overfeeding during lactation did not induce obesity, but produced glucose intolerance by impairing pancreatic function in adulthood.


Obesity is one of the most daunting health challenges of this century. The obesity epidemic is a major health concern because obesity significantly increases the risk for a variety of chronic metabolic diseases, such as type 2 diabetes, hypertension, hypercholesterolemia and heart disease[1, 2]. Epidemiologic studies show a higher incidence of obesity among men whose mothers experienced food deprivation in pregnancy during the Dutch famine in the Second World War[3]. Data have shown that nutritional and hormonal status in early life permanently changes the structure and function of body tissues and systems. In addition, overfeeding after birth may increase the risk of obesity and metabolic disorders. Early postnatal overnutrition can be induced by litter size reduction, which is an appropriate experimental model to study short- and long-term consequences of childhood obesity. Animals raised in a small litter have been shown to develop hyperphagia, hyperinsulinemia, hyperleptinemia and hypertension[46], as well as higher total and visceral fat mass, lower HDL-C and central leptin resistance in adult life[7].

Adipose tissue has been shown to play a crucial role in metabolic disorders associated with obesity[8]. Research has demonstrated associations among the location of fat storage, insulin sensitivity and the concurrent impacts on multiple other metabolic complications. Insulin resistance and metabolic syndrome are established consequences of expanding visceral fat mass[9], whereas the expansion of subcutaneous fat is associated with improved glucose tolerance and a lower risk of developing obesity related co-morbidities[10, 11]. Moreover, recent studies have shown that higher gluteofemoral fat mass is associated with protection against insulin resistance in obese men and women[12, 13]. The protective role of gluteofemoral body fat results from its distinct properties with regard to lipolysis and fatty acid uptake[14].

In the present study, we evaluated if whether intrauterine protein restriction in combination with overfeeding during lactation would cause adult-onset obesity and the development of metabolic disorders.

Methods and materials

Animals and diets

The experimental procedures involving rats were performed in accordance with the guidelines of the Brazilian Society of Science in Laboratory Animals (SBCAL) and were approved by the ethics committee at the Federal University of Mato Grosso (Process nº 23108.021972/10-4). Male and virgin female Wistar rats (aged 85–90 d) were obtained from the university’s breeding colony. Mating was prompted by housing one male with four females overnight, and pregnancy was confirmed by examining vaginal smears for the presence of sperm. Pregnant females were randomly separated during pregnancy, they were fed isoenergetic diets containing 17% protein and 3.9 kcal/g (control [C]); or 6% protein and 3.8 kcal/g (low protein [LP]). Casein served as the protein source. After birth, litters of male rats from dams fed with C and LP diets were adjusted to a litter size of four (CO and LO groups, respectively) to induce early postnatal overfeeding or eight (CC and LC groups, respectively) to induce normal feeding. After weaning (week 4), the offspring of all the litter groups were fed a diet containing 12% protein (maintenance diet) and 3.74 kcal/g, until they were 90 d old. All of the diets used in the present study are described in Table 1[15]. In the low protein and maintenance diets, adjustments were made to equalize the proportion of L-cystine in relation to the casein content offered in the control diet. After weaning the animals were housed four per cage. The rats had free access to food and water, and they were kept under standard lighting conditions (12 h light–12 h dark cycle) at 24°C throughout the experimental period.

Table 1 Composition of the control growth, low-protein and control maintenance diets

Experimental procedures

The rats were weighed at birth, after weaning, and then once a week throughout the experimental period. Recorded weekly, the weight and the naso-anal length (NAL) of the rats were used to calculate the Lee index[16]: Lee index= 3√weight body(g)/NAL (cm) × 1000 The food intake was recorded three times per week, and the data were expressed using absolute and relative values. To assess the relative food intake, the total food intake during the experimental period after weaning was normalized per 100g of body weight at age 90 d. Because it was not possible to evaluate all variables in the same animal, the number of individual experiments varied among the groups, but it was representative of at least three different litters.

At 90 d of age, the animals were euthanized with CO2 after fasting 12 h. Blood samples were collected, and serum was obtained by centrifugation to determine the lipid profile (triglycerides, total cholesterol, LDL cholesterol and HDL), blood glucose and insulin. Serum aliquots (stored at -80°C) of animals in the fed state were used to determine the serum concentrations of albumin, total protein, free fatty acid (FFA) and leptin. After a medium laparotomy, the retroperitoneal white adipose tissue (RWAT) and epididymal white adipose tissue (EWAT) were removed, and the mass of the tissues was measured. The tissues were frozen in liquid N2 and stored at −80°C for a subsequent analysis of their lipid content. The interscapular brown adipose tissue (IBAT) was removed, carefully cleaned to remove adhering fat and muscle, weighed and stored similarly to the white adipose tissues for a subsequent analysis of its lipid content.

Oxygen consumption/carbon dioxide production and respiratory exchange coefficient determination

Oxygen consumption, carbon dioxide production and the respiratory exchange coefficient (RQ) were measured in fed animals by a computer-controlled, open circuit calorimeter system, the LE405 Gas Analyzer (Panlab – Harvard Apparatus, Holliston, MA, USA). Individual rats were placed in the metabolic chamber and allowed to acclimate for 4 hs prior to data collection. After acclimation the rats were singly housed in clear respiratory chambers and room air was circulated through the chambers at a flow rate of 0.8 l/min. The air flow within each chamber was monitored by an Air Supply and Switching sensor (Panlab – Harvard Apparatus). The gas sensors were calibrated before beginning the experiments with primary gas standards containing known concentrations of O2 and CO2 (Air Liquid, São Paulo, Brazil). The analyses were performed for a 12 h dark period in each chamber. Two hours were discounted to accommodate the dark-to-light or light-to-dark transition periods. Therefore, each rat was evaluated for 10 h. The outdoor air reference values were sampled after every four measurements. Sample air was sequentially passed through O2 and CO2 sensors to determine the O2 and CO2 content; from these data, measures of oxygen consumption (VO2) and carbon dioxide production (VCO2) were estimated. The VO2 and VCO2 were calculated with Metabolism 2.2v software and expressed in mL.h-1.g-1, based on the Withers equation. The RQ was calculated as VCO2/VO2. Energy expenditure (EE) (kilocalories per kilogram per h; heat production) was calculated using a rearrangement of the Weir equation ((3.851+1.232 × RQ) × VO2)[17, 18].

Evaluation of spontaneous locomotor activity

Spontaneous locomotor activity was evaluated during a 12 h dark period. Information on motility was gathered using two horizontal axes and, a computer-controlled linear detection system from Harvard Instruments (Panlab, Holliston, MA, USA).

Hormones and biochemical parameters

The serum hormone levels were measured with an ELISA, using kits designed specifically for rats (GDV programmable MPT Reader DV 990BV6). Plasma or serum leptin was determined with a radioimmunoassay (RIA) kit (Linco Research, St. Louis, Missouri USA). Plasma or serum insulin was determined with an RIA kit (Millipore, Massachusetts. USA). Serum triglycerides, total cholesterol (TC), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL) were analyzed by an enzymatic method using BT-3000 Plus analyzer (Wiener labs, Rosario, Argentina). The Castelli indices I and II that correlate with atherogenicity were obtained using the following formulas[19]:

Castelli index I = TC / HDL
Castelli index II = LDL / HDL

Serum glucose (in mg/dL), was determined using a monitor with test strips to measure blood glucose (glucometer) (Accu-Chek®, Roche Diagnostics, Germany). FFA levels were determined by a spectrophotometric method using kits by Wako Chemicals USA, Inc. The homeostasis model assessment of insulin resistance (HOMA-IR) was used as the physiological index of insulin resistance. The HOMA-IR was calculated from the fasting glucose and the fasting insulin concentrations using the following formula:

HOMA - IR = fasting insulin pmo 1 / 1 × fasting glucose mmo 1 / 1 / 22 . 5

Intraperitoneal glucose-tolerance test

After a 12 h fast, glucose (200 g/l) was administered intraperitoneally at a dose of 2 g/kg body weight. Blood samples were obtained from the cut tip of the tail 0, 30, 60 and 120 min later to determine serum glucose and insulin concentrations. The glucose and insulin responses during the intraperitoneal glucose tolerance tests were calculated by estimating the total area under the glucose curves, using the trapezoidal method[20].

Intraperitoneal Insulin-tolerance test

A subcutaneous insulin tolerance test was performed on the 83 day-old male rats, after a 12 h fast. The insulin tolerance test consisted of a bolus injection of insulin (300 mU/kg body weight) beneath the dorsal skin of the fasting rat. Blood samples were obtained from the cut tip of the tail 0, 5, 10 and 15 min later to measure glucose levels. The rate constant for the elimination of serum glucose was calculated using the formula 0.693/t 1=2, where t 1=2 is half-life. The serum glucose half-life was calculated from the slope of a least-square analysis of the serum glucose concentrations from 0–15 min after the subcutaneous injection of insulin, when the serum glucose concentrations declined linearly[21].

Lipid content

The lipid contents of the IBAT, RWAT and EWAT were determined by the gravimetric method following chloroform–methanol (2:1) extraction, described by Folch et al.[22]).

Statistical analysis

The results are expressed as the mean values with standard errors for the number of rats indicated. Unpaired t tests were used to analyze the size of the litters and the body weight of the newborn rats. Bartlett’s test for the homogeneity of variances was initially used to determine whether the data complied with the assumptions necessary for a parametric ANOVA. When necessary, the data were log-transformed to correct for the variance in heterogeneity or non-normality[23]. A two-way ANOVA (the effect of previous nutritional status and overfeeding) was used to compare the data from the CC, CO, LC and LO groups. When necessary, these analyses were complemented by the least significant difference test to determine the significance of the individual differences. P<0·05 indicated statistical significance. All statistical analyses were conducted using the Statistic software package (Stat-soft).


Measurements of animal weight, increase in body weight, Lee’s index and food intake

The litter size in the C and LP groups of pups was similar, but the body weight of the newborn LP rats was lower than that of the C rats (data not shown). The increase in body weight from birth to weaning (0–28 d) was similar in the LO and CO groups; in both groups, body weight was higher than in the LC and CC groups. The lowest increase in body weight was observed in the LC group (P<0.01). At the time of weaning, the LO group had a similar body weight to the CO and CC groups, which had higher body weights than the LC rats. However, the body weight of the CO group was higher in relation to the CC group (P<0.01). At the time of weaning, the Lee index was lower in the CO and LO groups than in the CC and LC groups (F1,20=63.48, P<0.01). However, the Lee indices for the LC and LO groups were higher when compared to the CC and CO groups (F1,20=243.00, P<0.001). The increases in body weight from weaning to the end of the experiment (28–90 d) and from birth to the end of the experiment (0–90 d) were significantly higher in the CO and LO groups than in the CC and LC groups (F1,27=11.91, P<0.001 and F1,27=29.92, P<0.0001, respectively). Similarly, the nutritional status was higher in the CO and LO groups, compared to the CC and LC groups (F1,20=243.00; P<0.001). At the end of the experimental period, the mean body weight and the mean Lee index of the rats from the CO and LO groups were higher than the corresponding values for the rats from the CC and LC groups (F1,20=22.08, P<0.001 and F1,20=7.22, P<0.02, respectively). The absolute food intake and relative food intake were higher in the CO and LO groups, compared to the CC and LC groups (F1,27=8.59, P<0.01 and F1,27=5.97, P<0.02, respectively). The relative food intake in the LC and LO groups was higher than in the CC and CO groups (F1,27=24.11, P<0.0001) (Table 2).

Table 2 Somatic profile of rats maintained with the control (CC and LC) or overfeeding diets (CO and LO)

Oxygen consumption (VO2), carbon dioxide production (VCO2), respiratory quotient (RQ), energy expenditure (EE) and spontaneous activity

Carbon dioxide production, oxygen consumption and energy expenditure were higher in the rats from the CO and LO groups than in the rats from the CC and LC groups (F1,12=15.15, P<0.002; F1,12=13.79, P<0.001; F1,12=15.09, P<0.01, respectively) and lower in the LC and LO groups than in the CC and CO groups (F1,12=5.84, P<0.03; F1,12=6.10, P<0.02; F1,12=5.90, P<0.05, respectively). The respiratory quotient (RQ) did not differ among groups. Spontaneous activity was lower in the LC and LO groups, compared to the CC and CO groups (F1,12=9.86, P<0.01) (Table 3).

Table 3 Oxygen consumption (O 2 ), carbon dioxide production (CO 2 ), respiratory quotient (RQ) and spontaneous activity was measured of rats maintained with the control (CC and LC) or overfeeding diets (CO and LO)

Measurements of weight and lipid content of brown adipose tissue and retroperitoneal white adipose tissues

The weight and lipid content (g/total tissue) of the IBAT were significantly lower in the CO and LO groups than in the CC and LC groups (F1,20=8.57, P<0.001 and F1,20=10.58, P<0.001, respectively) and higher for the rats from the LC and LO groups, compared with the rats from the CC and CO groups (F1,20=5.09, P<0.02 and F1,20=19.67, P<0.001, respectively). However, the lipid content of the IBAT (g/100 g tissue) was higher in the LC and LO rats than in the CC and CO rats (F1,20=5.04, P<0.02). The absolute RWAT and EWAT weights and as well as the lipid content (g/total tissue) in these deposits, were higher in the CO and LO rats than in the CC and LC rats (F1,20=14.71, P<0.001; F1,20=6.38; P<0.05 and F1,26=5.89, P<0.02; F1,27=6.09; P<0.02, respectively). The relative weight of EWAT (mg/g body weight) was similar in the LO, LC and CO groups and those weights were higher in relation to the CC group (P<0.02). The relative weight of RWAT (mg/g body weight) was significantly higher in the CO and LO groups than in the CC and LC groups (F1,20=4.60, P<0.05) as well as in rats from the LC and LO groups compared with the rats from the CC and CO groups (F1,20=9.25, P<0.01). The lipid content in the RWAT (g/100 g tissue) and EWAT (g/100 g tissue) did not differ among the groups (Table 4).

Table 4 Weight and lipid content in the white and brown adipose tissues (BAT) of rats maintained with the control (CC and LC) or overfeeding diets (CO and LO)

Biochemical parameters

The triglycerides levels were lower in the rats from the CO and LO groups, compared with the rats from the CC and LC groups (F1,19=16.64; P<0.001), but triglycerides were higher in the LC and LO rats than in the CC and CO rats (F1,19=6.43; P<0.02). The LDL-cholesterol, HDL-cholesterol, total cholesterol and Castelli I did not differ among the groups. However, the Castelli II values were higher in the CO group than in the LO, CC and LC groups (P <0.05). The serum FFA concentrations were lower in the CO and LO rats than in the CC and LC rats (F1,20=4.89; P<0.05) (Table 5). The serum total protein and albumin concentrations did not differ among groups (data not shown).

Table 5 Biochemical parameters of rats maintained with the control (CC and LC) or overfeeding diets (CO and LO)

Metabolic and hormonal parameters

Basal serum glucose levels were similar among the groups. However, serum insulin levels and HOMA-IR were higher in the CO and LC groups than in the CC and LO groups. Additionally, in the LO group, these parameters were lower than in the CC group (P<0.05). No differences were observed among the leptin concentration levels of the groups. The total area under the glucose curve for the CO and LO rats was higher than for the CC and LC rats (F1,21=13.25, P<0.01). The total area under the insulin curve was similar in the CO and LC groups, and both were higher than the corresponding values for the LO and CC groups (P<0.01) (Table 6).

Table 6 Fasting serum glucose and insulin concentration, total area under the glucose (AUG) and insulin (AUI) curves, glucose disappearance ratio (K itt ) obtained from the intraperitoneal insulin tolerance test and HOMA-IR of rats maintained with the control (CC and LC) or overfeeding diets (CO and LO)


In the present study, restricting protein in the diets of rats during fetal life led to a low birth weight. Overfeeding during lactation, induced by small litter size resulted in a higher body weight at weaning and in adulthood for the offspring, regardless of the protein content of the mother’s diets during pregnancy. However, based on Lee’s index, the protein restriction during intrauterine life resulted in obesity at weaning, independent of postnatal nutrition. It is well established that early overfeeding induces a dramatic increase in body weight during the suckling period[7, 24, 25].

Postnatal overfeeding and normal nutrition after weaning corrected the features typical of protein malnutrition (hypoalbuminemia and low serum total protein), and resulted in a higher final body weight, Lee’s index, and visceral fat mass. An increased fat mass and adipocyte number has been observed in a similar animal model[2628]. These animals were shown to exhibit enhanced 11-β-hydroxysteroid dehydrogenase type 1 (11β- HSD1) mRNA in adipose cells, an enzyme that converts cortisone to its active form of cortisol[25]. It has been suggested that exacerbation of adipose tissue in obese rodents and humans occur due to elevated glucocorticoid production as a result of increased 11β- HSD1[29, 30]. We verified that prenatal protein restriction did not alter body weight per se but increased visceral fat deposits. However, prenatal protein restriction combined with postnatal overfeeding did not modify the body weight, Lee’s index, and visceral pad weight and content. Therefore, our results are in disagreement with human studies that showed that growth-restriction in utero followed by postnatal catch-up growth contributes to increased central fat mass[31].

Obesity is the result of an imbalance between energy intake and energy expenditure; excess energy is stored as fat whenever energy intake exceeds energy expenditure. Hyperphagia, among other factors, seems to have contributed to the excessive body weight gain that occurred in our overfed groups. Interestingly, an increased appetite was also observed in the prenatal protein restricted rats, when the food consumption data were normalized for body weight. This finding contradicts the observation that in rodents, unlike in humans, the development of the hypothalamic appetite regulatory system occurs predominantly after birth[32]. Early postnatal overnutrition, induced by small litter size[6, 7, 24, 25, 27, 33], causes persistent hyperphagia and alters the hypothalamic energy homeostasis mechanism in adulthood[2]. The hypothalamus is the primary center in the brain that regulates food intake and body weight homeostasis[34]. It is subject to the influence of several peripheral factors, including circulating levels of leptin[35], that which are proportional to the total fat mass[36]. We verified that the circulating leptin levels were not modified by early protein restriction or by overfeeding during lactation. Moreover, the serum leptin concentrations were not equivalent to the absolute and relative weight and lipid content of the RWAT and EWAT. These results were not surprising, at least for postnatal overfed rats, because, hyperleptinemia occurs only at weaning, when subcutaneous adipose tissue is increased[7] and leptin is produced mainly by subcutaneous adipose tissue[37, 38]. It is noteworthy that the hyperphagia in rats exhibiting unaltered serum leptin levels, as observed in the animals that were submitted to intrauterine protein restriction or early postnatal overfeeding, suggests of leptin resistance.

Spontaneous activity levels, O2 consumption and CO2 production were reduced in the animals submitted to prenatal protein restriction that exhibited a lean profile. In contrast, in the overfed rats that showed a phenotype of obesity, the activity levels did not change, but the O2 consumption and CO2 production increased. The higher O2 consumption, CO2 production and energy expenditure in the overfed animals could be explained by higher body weight. One possible explanation for the different phenotypes exhibited by our equally hyperphagic animals is the different levels of facultative thermogenesis. This hypothesis is reinforced by the diverse profile of IBAT weight and lipid content in the overfed and protein restricted rats. It has been demonstrated that IBAT thermogenic activity is accompanied by a simultaneous elevation in fatty acid synthesis and IBAT weight[39, 40]. Thus, we suggest that IBAT thermogenic activity was enhanced by the prenatal protein restriction and suppressed (decreased) by overfeeding during lactation. Reduced responsiveness to sympathetic stimulation and down-regulated adrenoreceptors in WAT, commonly observed in obese rodents[4143], could have contributed to the increase in lipid deposits in our overfed animals. This effect is manifested by a decrease in fatty acid mobilization[44], and our overfed animals exhibited reduced FFA levels. FFA release from adipose tissue is also down-regulated by fasting hyperinsulinemia[45] and could, therefore, be another factor contributing to low FFA levels and reduced fatty acid mobilization, at least in the CO group.

Independent of prenatal nutrition, postnatal overfeeding resulted in impaired glucose tolerance. Curiously, the overfed groups (CO and LO) exhibited opposite basal and stimulated serum insulin profiles and, varying hepatic insulin sensitivity, but similar peripheral insulin sensitivity. These observations are based on the HOMA-IR and Kitt values, respectively. Insulin sensitivity estimated by HOMA-IR predominantly expresses the ability of basal insulin to suppress hepatic glucose production in a fasting state, whereas Kitt is more influenced by the disposal of glucose after insulin application, reflecting peripheral insulin resistance[46]. Increase in the body weight and Lee’s index were not accompanied by peripheral insulin resistance, and the increase in visceral fat depots was not a determinant of liver insulin resistance. It appears that hepatic insulin resistance was determined by the serum insulin concentration, corroborating the observation that insulin sensitivity and insulin secretion are reciprocal and inversely related[47]. Another adequate explanation for the unrelated visceral fat deposits and liver insulin resistance is the mild increase in visceral adiposity observed in our overfed animals. The LC group had relative RWAT and EWAT weights and lipid contents similar to the LO group, however only the LC group exhibited hepatic insulin resistance. Remarkably, whereas prenatal protein restriction and overfeeding during lactation resulted in hyperinsulinemia in the basal state and after glucose challenge, fetal protein restriction combined with overfeeding during lactation, produced a state of basal insulin deficiency. Although the insulin deficiency was counteracted by the increase in peripheral and hepatic insulin sensitivity in the LO group, it was not enough to warrant glucose homeostasis. The insulin AUC after glucose challenge was similar in the LO and CC groups. However, these results are not indicative of normal secretion, because the insulin AUC after GTT provides an idea of the amount of insulin that acts on the tissues but cannot provide information on the dynamic of the hormone in terms of secretion, extraction and clearance[48]. In addition to the alterations in glucose metabolism, this study found an increased cardiovascular risk in CO rats, because the Castelli II index was elevated in that group. Prenatal protein restriction also conferred an increased cardiovascular risk, considering the high triglyceride levels.

In conclusion, our results suggest that overfeeding during lactation increased visceral fat and body mass, altered lipid metabolism and contributed to glucose intolerance by distinct mechanisms. When postnatal overfeeding was combined with normal intrauterine nutrition, impaired glucose tolerance resulted from insulin resistance. When postnatal overfeeding was combined with intrauterine protein restriction, it resulted in deficient pancreatic function.



Area under the curve


American Institute of Nutrition


Body weight


Offspring born from mothers fed a control diet whose litter was adjusted by eight pups during lactation


Offspring born from mothers fed a control diet whose litter was adjusted by four pups during lactation


Energy expenditure


Epididymal white adipose tissue


Free fatty acid


High-density lipoprotein


Intraperitoneal glucose tolerance test


Interscapular brown tissue


Glucose disappearance ratio


Offspring born from mothers fed a low protein diet whose litter was adjusted by eight pups during lactation


Low-density lipoprotein


Offspring born from mothers fed a low protein diet whose litter was adjusted by four pups during lactation


Naso-anal length




Respiratory quotient


Retroperitoneal white adipose tissue


Total cholesterol


Carbon dioxide production


Oxygen consumption


Total area under the glucose curve

Δ I:

Total area under the insulin curve

11β- HSD1:

11β-Hidroxysteroid dehydrogenase type 1.


  1. Malnick SD, Knobler H: The medical complications of obesity. QJM. 2006, 99: 565-579. 10.1093/qjmed/hcl085.

    Article  CAS  Google Scholar 

  2. Patel MS, Srinivasan M: Metabolic Programming in the Immediate Postnatal Life. Ann Nutr Metab. 2011, 58: 18-28. 10.1159/000328040.

    Article  CAS  Google Scholar 

  3. Ravelli GP, Stein ZA, Susser MW: Obesity in young men after famine exposure in utero and early infancy. N Engl J Med. 1976, 295: 349-353. 10.1056/NEJM197608122950701.

    Article  CAS  Google Scholar 

  4. You S, Gotz F, Rohde W, Dorner G: Early postnatal overfeeding and diabetes susceptibility. Exp Clin Endocrinol. 1990, 96: 301-306. 10.1055/s-0029-1211023.

    Article  CAS  Google Scholar 

  5. Boullu-Ciocca S, Dutour A, Guillaume V, Achard V, Oliver C, Grino M: Postnatal diet-induced obesity in rats upregulates systemic and adipose tissue glucocorticoid metabolism during development and in adulthood: its relationship with the metabolic syndrome. Diabetes. 2005, 54: 197-203. 10.2337/diabetes.54.1.197.

    Article  CAS  Google Scholar 

  6. Rodrigues AL, de Souza EP, da Silva SV, Rodrigues DS, Nascimento AB, Barja-Fidalgo C: Low expression of insulin signaling molecules impairs glucose uptake in adipocytes after early overnutrition. J Endocrinol. 2007, 195: 485-494. 10.1677/JOE-07-0046.

    Article  CAS  Google Scholar 

  7. Rodrigues AL, de Moura EG, Passos MC, Trevenzoli IH, da Conceição EP, Bonono IT, Neto JF, Lisboa PC: Postnatal early overfeeding induces hypothalamic higher SOCS3 expression and lower STAT3 activity in adult rats. J Nutr Biochem. 2011, 2: 109-117.

    Article  Google Scholar 

  8. Rasouli N, Kern PA: Adipocytokines and the metabolic complications of obesity. J Clin Endocrinol Metab. 2008, 93: 64-73. 10.1210/jc.2008-1613.

    Article  Google Scholar 

  9. Klein S, Fontana L, Young VL, Coggan AR, Kilo C, Patterson BW, Mohammed BS: Absence of an effect of liposuction on insulin action and risk factors for coronary heart disease. N Engl J Med. 2004, 350: 2549-2557. 10.1056/NEJMoa033179.

    Article  CAS  Google Scholar 

  10. Snijder MB, Dekker JM, Visser M: Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: the Hoorn Study. Am J Clin Nutr. 2003, 77: 1192-1197.

    CAS  Google Scholar 

  11. Tankó LB, Bagger YZ, Alexandersen P, Larsen PJ, Christiansen C: Peripheral adiposity exhibits an independent dominant antiatherogenic effect in elderly women. Circulation. 2003, 170: 1626-1631.

    Article  Google Scholar 

  12. Aasen G, Fagertun H, Halse J: Regional fat mass by DXA: high leg fat mass attenuates the relative risk of insulin resistance and dyslipidaemia in obese but not in overweight postmenopausal women. Scand J Clin Lab Invest. 2008, 68 (3): 204-211. 10.1080/00365510701649524.

    Article  CAS  Google Scholar 

  13. Shay CM, Carnethon MR, Church TR, Hankinson AL, Chan C, Jacobs DR, Lewis CE, Schreiner PJ, Sternfeld B, Sidney S: Lower extremity fat mass is associated with insulin resistance in overweight and obese individuals: the CARDIA study. Obesity (Silver Spring). 2011, 19 (11): 2248-2253. 10.1038/oby.2011.113.

    Article  Google Scholar 

  14. Manolopoulos KN, Karpe F, Frayn KN: Gluteofemoral body fat as a determinant of metabolic health. Int J Obes (Lond). 2010, 34 (6): 949-959. 10.1038/ijo.2009.286.

    Article  CAS  Google Scholar 

  15. Reeves PG, Nielsen FH, Fahey GC: AIN-93 purified diets for laboratory rodents: final report of the American Institute of Nutrition ad hoc writing committee on the reformulation of the AIN-76A rodent diet. J Nutr. 1993, 123: 1939-1951.

    CAS  Google Scholar 

  16. Lee MO: Determination of the surface area of the white rat with its application to the expression of metabolic results. Am J Physiol. 1928, 89: 24-33.

    Google Scholar 

  17. Westbrook R, Bonkowski MS, Strader AD, Bartke A: Alterations in oxygen consumption, respiratory quotient, and heat production in long-lived GHRKO and Ames dwarf mice, and short-lived bGH transgenic mice. J Gerontol Biol Sci Med Sci. 2009, 64: 443-451.

    Article  Google Scholar 

  18. Livesey G, Elia M: Estimation of energy expenditure, net carbohydrate utilization, and net fat oxidation and synthesis by indirect calorimetry: evaluation of errors with special reference to the detailed composition of fuels. Am J Clin Nutr. 1988, 47: 608-628.

    CAS  Google Scholar 

  19. Castelli WP: Cholesterol and lipids in the risk of coronary artery disease — the Framingham Heart Study. Can J Cardiol. 1988, 4: 5-10.

    Google Scholar 

  20. Matthews JN, Altman DG, Campbell MJ, Royston P: Analysis of serial measurements in medical research. BMJ. 1990, 300: 230-235. 10.1136/bmj.300.6719.230.

    Article  CAS  Google Scholar 

  21. Lundbaek K: Intravenous glucose tolerance as a tool in definition and diagnosis of diabetes mellitus. Br Med J. 1962, 5291: 1507-1513.

    Article  Google Scholar 

  22. Folch J, Lees M, Sloane Stanley GH: A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem. 1957, 226: 497-509.

    CAS  Google Scholar 

  23. Sokal RR, Rohlf FJ: Assumptions of analysis of variance. Biometry: The Principles and Practice of Statistics in Biological Research. 1995, New York, NY: WH Freeman and Company, 392-450.

    Google Scholar 

  24. Plagemann A, Harder T, Rake A, Melchior K, Rohde W, Dorner G: Increased number of galanin-neurons in the paraventricular hypothalamic nucleus of neonatally overfed weanling rats. Brain Res. 1999, 818: 160-163. 10.1016/S0006-8993(98)01264-5.

    Article  CAS  Google Scholar 

  25. Velkoska E, Cole TJ, Morris MJ: Early dietary intervention: long-term effects on blood pressure, brain neuropeptide Y, and adiposity markers. Am J Physiol Endocrinol Metab. 2005, 288: 1236-1243. 10.1152/ajpendo.00505.2004.

    Article  Google Scholar 

  26. Bassett DR, Craig BW: Influence of early nutrition on growth and adipose tissue characteristics in male and female rats. J Appl Physiol. 1988, 64: 1249-1256. 10.1063/1.342505.

    Article  CAS  Google Scholar 

  27. Plagemann A, Harder T, Rake A, Voits M, Fink H, Rohde W, Dorner G: Perinatal elevation of hypothalamic insulin, acquired malformation of hypothalamic galaninergic neurons, and syndrome x-like alterations in adulthood of neonatally overfed rats. Brain Res. 1999, 836: 146-155. 10.1016/S0006-8993(99)01662-5.

    Article  CAS  Google Scholar 

  28. Enser M, Roberts J, Whittington F: Effect of gold thioglucose-induced obesity on adipose tissue weight and cellularity in male and female mice suckled in large and small litters: investigations into sex differences and site differences. Br J Nutr. 1985, 54: 645-654. 10.1079/BJN19850151.

    Article  CAS  Google Scholar 

  29. Livingstone DE, Jones GC, Smith K, Jamieson PM, Andrew R, Kenyon CJ: Understanding the role of glucocorticoids in obesity: tissue-specific alterations of corticosterone metabolism in obese Zucker rats. Endocrinology. 2000, 141: 560-563. 10.1210/en.141.2.560.

    CAS  Google Scholar 

  30. Rask E, Walker BR, Söderberg S, Livingstone DE, Eliasson M, Johnson O, Andrew R, Olsson T: Tissue-specific changes in peripheral cortisol metabolism in obese women: increased adipose 11beta-hydroxysteroid dehydrogenase type 1 activity. J Clin Endocrinol Metab. 2002, 87 (7): 3330-3336. 10.1210/jc.87.7.3330.

    CAS  Google Scholar 

  31. Ong KK, Ahmed ML, Emmett PM, Preece MA, Dunger DB: Association between postnatal catch-up growth and obesity in childhood: prospective cohort study. BMJ. 2000, 320 (7240): 967-971. 10.1136/bmj.320.7240.967.

    Article  CAS  Google Scholar 

  32. Bouret SG, Draper SJ, Simerly RB: Formation of projection pathways from the arcuate nucleus of the hypothalamus to hypothalamic regions implicated in the neural control of feeding behavior in mice. J Neurosci. 2004, 24: 2797-2805. 10.1523/JNEUROSCI.5369-03.2004.

    Article  CAS  Google Scholar 

  33. Plagemann A, Heidrich I, Gotz F, Rohde W, Dorner G: Obesity and enhanced diabetes and cardiovascular risk in adult rats due to early postnatal overfeeding. Exp Clin Endocrinol. 1992, 99: 154-158. 10.1055/s-0029-1211159.

    Article  CAS  Google Scholar 

  34. Schwartz MW: Central nervous system regulation of food intake. Obesity (Silver Spring). 2006, 14: 1-8. 10.1038/oby.2006.1.

    Article  Google Scholar 

  35. Sahu A: Minireview: a hypothalamic role in energy balance with special emphasis on leptin. Endocrinology. 2004, 145: 2613-2620. 10.1210/en.2004-0032.

    Article  CAS  Google Scholar 

  36. Frederich RC, Hamann A, Anderson S, Lollmann B, Flier JS: Leptin levels reflect body lipid content in mice: Evidence for diet induced resistance to leptin action. Nature Med. 1995, 1: 1311-1314. 10.1038/nm1295-1311.

    Article  CAS  Google Scholar 

  37. Dusserre E, Moulin P, Vidal H: Differences in mRNA expression of the proteins secreted by the adipocytes in human subcutaneous and visceral adipose tissues. Bioch Biophys Acta. 2000, 1500: 88-96. 10.1016/S0925-4439(99)00091-5.

    CAS  Google Scholar 

  38. Carmina E, Chu MC, Moran C, Tortoriello D, Vardhana P, Tena G: Subcutaneous and omental fat expression of adiponectin and leptin in women with polycystic ovary syndrome. Fertil Steril. 2007, 89: 642-648.

    Article  Google Scholar 

  39. Rothwell NJ, Stock MJ, Tyzbir RS: Energy balance and mitochondrial function in liver and brown fat of rats fed "cafeteria" diets of varying protein content. Nutrition. 1982, 112: 1663-1672.

    CAS  Google Scholar 

  40. Himms HJ: Brown adipose tissue thermogenesis and obesity. Prog Lipid Res. 1989, 28: 67-115. 10.1016/0163-7827(89)90009-X.

    Article  Google Scholar 

  41. Muzzin P, Revelli JP, Kuhne F, Gocayne JD, McCombie WR, Venter JC, Giacobino JP, Fraser CM: An adipose tissue-specific beta-adrenergic receptor. Molecular cloning and down-regulation in obesity. J Biol Chem. 1991, 266: 24053-24058.

    CAS  Google Scholar 

  42. Collins S, Daniel KW, Petro AE, Surwit RS: Strain-specific response to beta 3-adrenergic receptor agonist treatment of diet-induced obesity in mice. Endocrinology. 1997, 138: 405-413. 10.1210/en.138.1.405.

    CAS  Google Scholar 

  43. Breslow MJ, An Y, Berkowitz DE: Beta-3 adrenoceptor (beta-3AR) expression in leptin treated OB/OB mice. Life Sci. 1997, 61: 59-64. 10.1016/S0024-3205(97)00358-5.

    Article  CAS  Google Scholar 

  44. Trayhurn P, Thomas ME, Duncan JS, Rayner DV: Effects of fasting and refeeding on ob gene expression in white adipose tissue of lean and obese (oblob) mice. FEBS Lett. 1995, 368: 488-490. 10.1016/0014-5793(95)00719-P.

    Article  CAS  Google Scholar 

  45. Frayn KN: Adipose tissue and the insulin resistance syndrome. Proc Nutr Soc. 2001, 60: 375-380. 10.1079/PNS200195.

    Article  CAS  Google Scholar 

  46. Muniyappa R, Lee S, Chen H, Quon MJ: Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage. Am J Physiol Endocrinol Metab. 2008, 294: 15-26.

    Article  Google Scholar 

  47. Ahrén B, Pacini G: Islet adaptation to insulin resistance: mechanisms and implications for intervention. Diabetes Obes Metab. 2005, 7 (1): 2-8. 10.1111/j.1463-1326.2004.00361.x.

    Article  Google Scholar 

  48. Ahrén B, Pacini G: Importance of quantifying insulin secretion in relation to insulin sensitivity to accurately assess beta cell function in clinical studies. Eur J Endocrinol. 2004, 150 (2): 97-104. 10.1530/eje.0.1500097.

    Article  Google Scholar 

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The authors are grateful to Celso Roberto Afonso for the excellent technical assistance. This work was supported by the Brazilian foundations CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico grant number: 620106/2008-5), CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, grant number: PROCAD 022/2007) and FAPEMAT (Fundação de Amparo à Pesquisa do Estado de Mato Grosso, Grant number: 449161/2009). This work is part of a dissertation presented by Grazielle Vitória Ponti Coutinho as a partial requirement for the Master’s degree in Biosciences at the Faculty of Nutrition, Universidade Federal de Mato Grosso.

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Correspondence to Maria Salete Ferreira Martins.

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Authors’ contributions

GVPC Participated in the all of the study included the drafted of the manuscript. FRC, JZF, MST, LMIS and AAP participated in the experimental phase. SRLR participated in the experimental phase and the statistical analysis. MQL performed the statistical analysis. MHGGS participated in the preparation of manuscript. MSFM participated in the design, coordination of the study, and drafted the manuscript. All authors read and approved the final manuscript.

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Coutinho, G.V.P., Coutinho, F.R., Faiad, J.Z. et al. Intrauterine protein restriction combined with early postnatal overfeeding was not associated with adult-onset obesity but produced glucose intolerance by pancreatic dysfunction. Nutr Metab (Lond) 10, 5 (2013).

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