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Long-term consequences of under-nutrition during suckling on glucose tolerance and lipoprotein profile in female and male rats

Published online by Cambridge University Press:  15 March 2007

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Abstract

To determine the effect of under-nutrition during suckling in adults, at delivery female Sprague Dawley rats were allowed to lactate litters of either eight (controls) or sixteen pups each (large litter, LL). The amount of milk taken by LL pups was less than the controls and the concentration of triacylglycerols (TG) in the milk of the former was lower. The increase of both body weight and length in LL was lower than in the controls during suckling. At weaning, pups were allowed to eat ad libitum a standard diet and whereas at 20 months female body weight did not differ between LL and control rats, LL males weighed less than controls. Plasma NEFA were lower in male LL than in controls at 10 months, leptin at 10 and 16 months and TG and VLDL-TG at 20 months, with no differences in females. When 20 months old, lumbar and epididymal adipose tissue weights were lower in male LL than in controls, but not in females. The increase in plasma insulin after oral glucose load was lower in LL than in controls, both in males and females at 4 and 16 months, and only in males at 10 months, whereas the change in plasma glucose remained constant between the groups. Results indicate that both the pancreatic β-cell function and insulin sensitivity and adipose tissue metabolism are independently programmed as a consequence of under-nutrition during suckling, the effect being more manifest for males than for females.

Type
Research Article
Copyright
Copyright © The Authors 2006

The most prevalent form of nutritional disorder of children in developing countries is malnutrition, whereas in adults overweight is the most widespread. Epidemiological studies have linked low birth weight with impaired glucose tolerance, abnormalities in blood lipid concentrations and risk for CVD and obesity in adults (Ravelli et al. Reference Ravelli, Stein and Susser1976; Lucas, Reference Lucas1991; Barker, Reference Barker1995; Leon, Reference Leon1998; Waterland & Garza, Reference Waterland and Garza1999; Lauren & the EURO-BLCS Study Group, Reference Lauren2003). These alterations have been attributed to a mechanism whereby at critical periods of fetal and early development certain metabolic processes are programmed in the organism to accommodate a particular level of nutrition throughout its life, thus providing a survival advantage (Lucas, Reference Lucas1991; Hales & Barker, Reference Hales and Barker1992). However, subsequent improvements in nutrition during adult life appear to be a major cause for these pathophysiological alterations.

In view of the shorter life span of animals and the possibility of controlling the genetic and environmental influences, several animal models of developmental programming have been applied to understand the specific mechanisms responsible for these phenomena (Armitage et al. Reference Armitage, Khan, Taylor, Nathanielsz and Poston2004). Although studies in rats support the hypothesis that prenatal and early postnatal nutrition permanently affect glucose–insulin relationships (Passos et al. Reference Passos, Ramos and Moura2000;Waterland & Garza, Reference Waterland and Garza2002), additional data are needed to determine whether long-term effects of perinatal malnutrition modifying the glucose–insulin relationship are also associated with altered lipid metabolism, which by itself could affect glucose tolerance and insulin sensitivity. This is, however, a necessary step towards understanding the significance of altered nutrition during the perinatal phase in human health and designing potential interventions to avoid or ameliorate their adverse consequences. Several strategies have been used to determine the response in restricting fetal and/or early postnatal growth as a consequence of transient nutritional conditions early in life. One strategy is the reduction of the protein content of the maternal diet during pregnancy, where a transitory period of increased insulin sensitivity, followed by no change and an impaired glucose tolerance with frank diabetes was found, depending on the age of the animals studied (Hales & Ozanne, Reference Hales and Ozanne2003). Changes in the quality of nutrition, without affecting the total energy intake during the immediate postnatal period, have also been shown to cause metabolic programming. An increase in carbohydrate-derived energy during suckling caused a sustained hyperinsulinaemia in adulthood without dietary intervention (Vadlamudi et al. Reference Vadlamudi, Hiremagalur, Tao, Kalhan, Kalaria, Kaung and Patel1993) and formed the basis for adult-onset obesity (Vadlamudi et al. Reference Vadlamudi, Kalhan and Patel1995; Srinivasan et al. Reference Srinivasan, Laychock, Hill and Patel2003). Another strategy was to adjust the litter size during lactation so that pups in small litters received more milk than those in larger litters. This was found to cause lifetime growth alterations (McCance, Reference McCance1962; Plagemann et al. Reference Plagemann, Heidrich, Gotz, Rohde and Dorner1992) and both large and small litters were determined to have reduced pancreatic β-cell glucose-responsiveness when adults (Waterland & Garza, Reference Waterland and Garza2002).

Under-nutrition during the perinatal period could have long-term effects not only in the glucose and insulin axis but also in the level of circulating lipids in the offspring, but these two specific metabolic sites have not been previously evaluated in the same animals at different ages after food restriction during the suckling period, nor determining the differences in the gender response. The present study was therefore addressed to analyse these two metabolic sites at different ages in the same male and female animals after postnatal malnutrition in order to determine the potential interaction between them. Thus, by increasing litter size in rats during lactation we determined the long-term consequences of postnatal malnutrition on glucose-tolerance tests, plasma lipids and plasma lipoprotein profile.

Materials and methods

Female Sprague-Dawley rats from our animal quarters were housed under controlled light and temperature conditions (12 h light–dark cycle; 22 ± 1°C). Rats were mated when they weighed 180–190 g and fed ad libitum a purified diet containing the following per kg: 170 g casein; 100 g cellulose; 580 g maizestarch; 100 g olive oil; 35 g salt mix; 10·1 g vitamin mix. Other details of this diet composition and its characteristics have been previously reported (Amusquivar et al. Reference Amusquivar, Rupérez, Barbas and Herrera2000) and it was considered suitable as a control diet. The experimental protocol was approved by the Animal Research Committee of the University San Pablo-CEU. After delivery (24 h), pups from the different dams were pooled and distributed at random in two groups, one of lactating dams with litters of eight pups each (controls) and the other one of lactating dams with litters of sixteen pups each (large litters, LL). They were maintained under these conditions until weaning (at 21 d). From this time, female and male pups were separated in different cages and all the animals were fed ad libitum a standard non-purified diet (B&K Universal, Barcelona, Spain). Milk yield was estimated from pup weight and weight gain on days 7–8 and days 15–16 of lactation, as previously described (Sampson & Jansen, Reference Sampson and Jansen1984). On day 10 of lactation, after being separated from their litters, some dams were anaesthetized with a cocktail (0·5 ml/200 g body weight) containing 9 mg ketamine (Imalgene 500; Rhone Merieux, Lyon, France) and 0·25 mg chlorpromazine (Largactil; Rhone Poulenc, Madrid, Spain) administered intraperitoneally. They were injected intraperitoneally with a solution of oxytocin (0·25 ml/200 g body weight: 40 mg/l Syntocinón; Novartis Farmaceutica, Barcelona, Spain) and milk was obtained with gentle hand stripping of the teats. An aliquot of milk was immediately placed into chloroform–methanol (2:1, v/v) for lipid extraction (Folch et al. Reference Folch, Lees and Sloane Stanley1957) and once phospholipids had been eliminated with alumina in isopropylalcohol, samples were processed for the analysis of triacylglycerols (TG) (Sigma, St. Louis, MO, USA). Some rats from each group were decapitated at different ages and trunk blood collected into receptacles containing 1 g Na2-EDTA/l for plasma separation. Plasma was kept at − 80°C until analysed for glucose, TG, NEFA and immunoreactive insulin by commercial kits (Boehringer-Mannheim, Mannheim, Germany, Menarini Diagnostic, Florence Italy, Wako Chemical GmbH, Neuss, Germany and Mercodia AB, Uppsala, Sweden, respectively). Leptin was assayed by ELISA using a commercial kit specific for rat (DRG Diagnostics, Mountainside, NJ, USA). Liver, brain and periuterine, epididymal and lumbar adipose tissue were immediately dissected and weighed and aliquots of liver tissue were placed into liquid N and kept at − 80°C until analysis. Frozen liver aliquots were used for lipid extraction (Folch et al. Reference Folch, Lees and Sloane Stanley1957) and aliquots of lipid extracts were quantified for different lipid moieties after image analysis and separation by one-dimensional TLC (Ruiz & Ochoa, Reference Ruiz and Ochoa1997) using the G5–700 BIOIMAGE TLC scanner of Bio-Rad (Hercules, CA, USA). Spots were quantified as integrated optical densities against an internal standard of cholesterol formate and calibration curves of TG, cholesterol (Ch), esterified-Ch and fatty acids standards.

Oral glucose tolerance tests were performed as follows. All tests were conducted between 09.00 and 12.00 hours in overnight fasted rats. After collecting tail blood (0 time), rats received an oral load of 2 g glucose/kg body weight and blood was collected from the tail at 7·5, 15, 22·5, 30 and 60 min and processed for plasma glucose and insulin determinations as earlier. Blood samples obtained at 0 time were also used for the analysis of plasma TG and NEFA, as earlier.

In rats killed at 20 months, plasma was used for VLDL separation by ultracentrifugation at 224 000 g for 3 h at density 1·006 kg/l in a Beckman TL-100 ultracentrifuge (Beckman Instruments, Madrid, Spain) with a Beckman TLA 100·2 rotor, as previously described (Munilla & Herrera, Reference Munilla and Herrera1997). Supernatant fractions were recovered by tube slicing whereas the remaining apoB-100 containing lipoproteins (mainly LDL) were precipitated in the infranatants by treatment with a mixture (10:1, by vol.) of 14 mm-phosphotungstic acid and 2 mm-MgCl2. After sitting for 24 h at 4°C, HDL were separated in the supernatant after centrifugation at 15 000 rpm for 5 min. TG and Ch concentrations were determined by enzymatic methods with commercial kits (Menarini Diagnostics).

Statistics

All analyses were conducted in SPSS (version 14.0; Chicago, IL, USA). Results were expressed as means with their standard errors. ANOVA with repeated measures with Bonferroni correction for multiple comparisons was used to compare the group differences in plasma lipids, leptin levels and glucose tolerance tests at different ages. Differences between means were determined by two-way ANOVA with litter size and gender as the fixed factors; significant interactions by litter size or gender were then analysed by Student's t test. Data where the variances were not equal were log-transformed prior to analysis. Differences between the two groups at 20 d old were analysed by Student's t test.

Results

Body weight and length and metabolic variables during suckling

Whereas on the first day of age, body weight and body length of pups from LL (sixteen pups per litter) did not differ from controls (eight pups per litter), from day 5 until weaning (day 21) LL pups weighed less and were smaller than those from controls, the difference in both variables increasing as the pups got older (Fig. 1). Although total milk yield expressed as g per d was higher in dams with LL than controls, pups in the first group received significantly less amounts of milk per d than those in the second at both day 8 (2·79 (sem 0·15) g/pup per d in controls and 1·70 (sem 0·05) in LL; P < 0·001) and day 15 of lactation (4·01 (sem 0·19) in controls and 2·56 (sem 0·11) in LL; P < 0·001). Milk TG concentration was also lower in dams of LL than in those of controls (552 (sem 14) μmol/ml in controls and 380 (sem 36) in LL, P < 0·01).

Fig. 1 Body weights (A) and lengths (B) during suckling in control (– ○ –) and large litter (LL; – ● –) sizes. Values are means with their standard errors for ten to twenty-seven representative pups from each litter (day 1) and total number of pups (fifty-six to ninety-four; days 5–20). Mean values were significantly different between the two groups on the corresponding days: *P < 0·05; **P < 0·01. For details of animals and procedures, see p. 1031.

At the end of the suckling period (day 20) lower body weight from LL rats was also accompanied by lighter liver and brain weights as well as lower plasma glucose, insulin, leptin and TG levels, with no difference in plasma NEFA and Ch levels nor in liver TG concentration compared with controls (Table 1).

Table 1 Tissue weights and metabolic variables in 20-d-old rats suckled in control and large litter (LL) sizes* (Values are means with their standard errors for six to seven rats per group)

* For details of animals and procedures, see p. 1031.

TG, triacylglycerol.

Body weight and metabolic variables at different ages after weaning

Body weight in males progressively increased until 16 months, values being consistently lower in those from LL than from control rats (Fig. 2). A similar trend was also found in females and, although absolute values were always lower in females, body weight in female rats of the LL group was lower than in controls until age 16 months (Fig. 2). Plasma levels of TG in male rats were not significantly lower in LL rats at 4, 10 or 16 months (Table 2). In females, plasma TG levels did not differ between LL and control groups at 4, 10 and 16 months old, although there was also a tendency for them to be lower in LL than in controls. Plasma TG levels were lower in female than in male control rats at 10 months, and values at 16 months were always higher in both males and females as when the animals were younger. Plasma NEFA levels in males were lower in LL rats than in controls when they were 10 months old, the difference disappearing when they were 4 or 16 months old (Table 2). Unlike those found in males, plasma NEFA levels in females did not differ between the two groups at any of the time points studied, although values at 16 months were higher than in males. In males, there were no differences in plasma Ch levels between the two groups at 4 and 10 months old, but they were significantly lower in the LL group than in the controls at 16 months, whereas in females no difference between the two groups was found at any of the time points studied (Table 2). Plasma leptin levels were measured only in 10 and 16 month old males and in both cases values were significantly lower in those of the LL group than in controls (Table 2). In females, plasma leptin levels were measured only at 16 months, and although values were lower in LL than in control animals, the difference did not reach statistical significance.

Fig. 2 Body weight in male control (□) and large litter (■) and female (control and large litter ) size rats at different ages after weaning. Values are means with their standard errors for seven to twelve rats per group. a,b,c Mean values with unlike superscript letters were significantly different and indicate statistical comparison over the entire study period (P < 0·05). Mean values were significantly different between control and LL rats: *P < 0·05; **P < 0·01; ***P < 0·001.

Table 2 Plasma lipid and leptin levels at different ages in rats suckled in control and large litter (LL) sizes (Values are means with their standard errors for six to twelve rats per group)

a,b,c Mean values with unlike superscript letters within a row were significantly different and indicate statistical comparison over the entire study period (P < 0·05).

Mean values were significantly different from those for the control rats: *P < 0·05; **P < 0·01.

Mean values were significantly different from those for the male rats: †P < 0·05; ††P < 0·01.

For details of animals and procedures, see p. 1031.

ND, not determined.

Animals were killed at 20 months. At this age, body weight and size were lower in male LL than in male controls. This difference was not observed in females, the respective values of which were lower than in males (Table 3). Furthermore, in male liver, kidney, lumbar adipose tissue and epididymal fat pads, weights were lower in LL rats than in controls. These differences disappeared for liver and kidney weights when corrected by body weight, but they were maintained statistically lower for male LL than control rats in the case of lumbar adipose tissue and epididymal fat pads (Tables 3 and 4). The organ weights of 20-month-old females were lower than in males and they were similar for LL and control groups, the only significant difference being for kidney weight, which was lower in the LL group. No significant difference was found in absolute values when corrected by body weight for liver, kidney, lumbar adipose tissue or periuterine adipose tissue (Tables 3 and 4).

Table 3 Body and tissue weights in 20-month-old rats suckled in control and large litter (LL) sizes (Values are means with their standard errors for seven to twelve rats per group)

Mean values were significantly different from those for the control rats: *P < 0·05; **P < 0·01; ***P < 0·001.

Mean values were significantly different from those for the male rats: ††P < 0·01; †††P < 0·001.

For details of animals and procedures, see p.1031.

Table 4 Tissue weights in 20-month-old rats suckled in control and large litter (LL) sizes (Values are means with their standard errors for seven to twelve rats per group)

Mean values were significantly different from those for the control rats: *P < 0·05; **P < 0·01; ***P < 0·001.

Mean values were significantly different from those for the male rats: ††P < 0·01; †††P < 0·001.

For details of animals and procedures, see p.1031.

A lipoprotein profile was obtained in the 20-month-old rats. In males, plasma TG levels were lower in LL than in controls, this change mainly corresponding to those of VLDL, whose levels were lower in LL than in control groups, with no difference between the two groups in HDL-TG (Table 5). In males, plasma Ch levels were lower in 20-month-old LL rats than in controls, the difference mainly corresponding to LDL-Ch, with no differences in VLDL- or HDL-Ch. In 20-month-old females, no difference between LL and control groups was found in plasma TG, VLDL-TG or HDL-TG (Table 5). However, plasma Ch levels were higher in LL than in control female rats, this difference also appearing in both HDL- and LDL-Ch, with no difference in VLDL-Ch (Table 5).

Table 5 Plasma lipoprotein profile in 20-month-old rats suckled in control and large litter (LL) sizes (Values are means with their standard errors for seven to twelve rats per group)

Mean values were significantly different from those for the control rats: *P < 0·05; **P < 0·01; ***P < 0·001.

Mean values were significantly different from those for the male rats: †P < 0·05; ††P < 0·01; †††P < 0·001.

For details of animals and procedures, see p.1031.

TG, triacylglycerol.

A different trend between 20-month-old males and females was found in the distribution of liver lipid concentration. Whereas in males, the only change between LL and control rats appeared in a lower TG concentration in the former group, decreased concentrations of both Ch and esterified-Ch and an enhanced fatty acid concentration were found in liver of LL female rats compared with controls (Table 6).

Table 6 Liver lipid component in 20-month-old rats suckled in control and large litter (LL) sizes (Values are means with their standard errors for seven to twelve rats per group)

Mean values were significantly different from those for the control rats: *P < 0·05; **P < 0·01; ***P < 0·001.

Mean values were significantly different from those for the male rats: †P < 0·05; ††P < 0·01; †††P < 0·001.

For details of animals and procedures, see p. 1031.

TG, triacylglycerol.

Oral glucose tolerance tests

Basal plasma glucose and insulin levels (0 time) did not differ between LL and control rats at 4, 10 or 16 months (data not shown). However, major differences were found as a response to the oral glucose load. Values are expressed as the area under the curve (AUC) for both glucose and insulin during the 60 min of the test. It was found that the AUC for glucose in males at the age of 4, 10 and 16 months was very stable and did not differ between LL and control rats (Table 7). However, the AUC for insulin in these same males progressively increased as they became older, values always being significantly lower in LL than in control rats (Table 7). In females, the AUC of glucose was very similar to that observed in males and it too was very stable with age, with no difference between LL and control rats. The AUC values for insulin in females tended to be consistently lower than those found in males. In female control rats, the AUC values for insulin did not increase with age, whereas in LL female rats, with the exception of 10-month-old females, values were significantly lower than those observed in the control group (Table 7).

Table 7 Glucose tolerance tests at different ages in 20-month-old rats suckled in control and large litter (LL) sizes (Values are means with their standard errors for seven to twelve rats per group)

AUC, area under the curve.

a,bMean values within a row with unlike superscript letters were significantly different and indicate statistical comparison over the entire study period (P < 0·05).

Mean values were significantly different from those for the control rats: *P < 0·05; **P < 0·01.

Mean values were significantly different from those for the male rats: †P < 0·05; ††P < 0·01.

For details of animals and procedures, see p. 1031.

Discussion

The present study consistently shows that under-nutrition during the suckling period due to LL size in rats causes a permanent reduction in glucose-stimulated insulin secretion despite a normal glucose tolerance, suggesting an enhanced insulin sensitivity. Although this finding may be related to the hypolipidaemia tendency in males, this is not, however, the case in females, suggesting that the endocrine pancreas was primarily programmed as result of the under-nutrition during suckling.

During suckling the reduced milk intake in LL rats is added to a reduction in TG concentration in milk, which is the most abundant lipid component in milk (Vilaró et al. Reference Vilaró, Vinas, Remesar and Herrera1987; Barbas & Herrera, Reference Barbas and Herrera1998) and therefore the main energy source for the suckling newborn. Other under-nutrition conditions such as that caused by a glucose-restricted diet during lactation have also been shown to decrease milk lipid concentration in rats (Lanoue & Koski, Reference Lanoue and Koski1994). This condition of decreased milk intake and lower milk TG content causes metabolic and endocrine disturbances in the suckling newborns, as shown here by decreased plasma glucose, TG, insulin and leptin concentrations. The leptin concentration is probably related to a decreased adipose tissue mass, as it coincides with the lower body weight of the pups, which was more noticeable than the reduced length of the LL animals. A blunted insulin secretion after a glucose stimulus and a lack of capacity to recover normal fat depots when LL animals are allowed to eat ad libitum standard rat chow from weaning seems to be programmed by the under-nutrition condition during suckling. The decreased β-cell response in LL rats when adults, confirms previous findings (Waterland & Garza, Reference Waterland and Garza2002) and supports the hypothesis that the endocrine pancreas contributes to the programming in this model. Since the LL rats consistently exhibited normal glucose tolerance, the findings suggest increasing insulin sensitivity, which was maintained until the animals were 16 months old, when the last oral glucose tolerance test was performed, and corresponds to middle-age for the Sprague Dawley rat (Bassant et al. Reference Bassant, Jazat and Lamour1994; Barzilai & Rossetti, Reference Barzilai and Rossetti1996). Although this effect could be partially related to the hypolipidaemia indirectly derived from the decreased fat depot of the studied animals, this condition was only observed in males in the form of decreases in plasma NEFA levels at 10 months, and could result from a decreased lipolytic activity secondary to the enhanced insulin sensitivity. It was not observed in females, where the decreased insulin release after the oral glucose load was also impaired in the LL animals, although no differences in plasma NEFA levels could be detected. Additional studies are required to establish the intrinsic mechanism for the decreased insulin release and enhanced insulin sensitivity for glucose utilization in the LL rats.

The decreased fat depots and altered lipoprotein profile observed in the LL male rats and the minor changes in females deserve some comment. The underfeeding condition during suckling clearly impairs long-term body growth in males, with a lesser effect in females. By analysing the weight of different tissues, it can be concluded that this difference in males mainly corresponds to fat depots, since both lumbar fat and epididymal fat pads weighed less in LL rats than in controls, in both absolute values and after correcting by body weight. Since plasma leptin levels have normally been associated with adipose tissue mass (Considine, Reference Considine1997; Ahima & Flier, Reference Ahima and Flier2000), this difference in fat depots between male LL and control rats is further emphasized by the consistent lower plasma levels of their leptin. These reduced adipose tissue depots in adult LL males could be contributing to their enhanced insulin sensitivity, since it is known that removal of visceral fat prevents insulin resistance in rats (Gabriely et al. Reference Gabriely, Ma, Yang, Atzmon, Rajala, Berg, Scherer, Rossetti and Barzilai2002). In fact, as the rats become older, a condition of insulin resistance develops, as is shown by the progressive increment of the AUC for insulin. In other words, as the animals become older, more insulin is required to maintain a normal glucose tolerance and this effect seems to be delayed in LL rats compared with control rats, and in females as compared with males in both groups. In fact, whereas the AUC for glucose was kept stable in male and female rats of both the LL and control groups, the AUC for insulin was lower in LL than in the control groups, and in females than in male rats, although the differences did not reach statistical significance at certain time points (Table 7).

The greatly impaired capacity to build up fat depots in male LL rats could also be responsible for the hypolipidaemia seen in these animals when 20 months old. Decreased fat depots could be responsible for the persistent decline in plasma TG as well as the low liver TG concentration seen in LL males. The low lipid substrate for VLDL synthesis would reduce liver VLDL-TG production, which may explain the low plasma levels in these animals. However, this reasoning cannot be used to understand the changes in the lipoprotein profile observed in female LL rats, where in addition to unchanged plasma VLDL levels, a clear hypercholesterolaemia corresponding to both increased HDL- and LDL-Ch levels was developed. In these animals, adipose tissue depots are less impaired than those in males, allowing a normal production of VLDL, while liver Ch concentration is greatly reduced, probably as a consequence of enhanced liver production of HDL and/or decreased LDL uptake. A sexual dimorphism concerning those changes in lipoprotein liver production has been documented (Tessitore et al. Reference Tessitore, Batetta, Vizio, Mulas, Marengo and Dessi2000), and an inverse relationship between liver Ch concentration and plasma HDL levels has been reported previously in female rats (Munilla & Herrera, Reference Munilla and Herrera1997). This suggests either an enhanced liver production of HDL, which would cause a depletion of liver Ch content or an enhanced bile Ch excretion in the presence of an enhanced reverse Ch metabolism. Present data do not permit us to decide between these two possibilities.

In summary, under-nutrition during suckling permanently decreases glucose-stimulated insulin secretion in male and female rats without affecting glucose tolerance. Whereas in males, it greatly impairs fat depot accumulation and reduces VLDL-TG in adults, it does not affect fat depot accumulation in females and has a hypercholesterolaemic effect, mainly corresponding to increments in plasma LDL- and HDL-Ch levels.

Acknowledgements

We thank Milagros Morante for her excellent technical assistance, Brian Crilly for editorial help and José María Garrido for his valuable help in the care of the experimental animals. Supported by grants from Ministerio de Educación y Ciencia (SAF2004–05998), Universidad San Pablo-CEU (19/03) and European Community (specific RTD programme “Quality of Life and Management of Living Resources”, QLK1–2001 – 00138, PeriLip).

References

Ahima, RS & Flier, JS (2000) Leptin. Annu Rev Physiol 62, 413437CrossRefGoogle ScholarPubMed
Amusquivar, E, Rupérez, FJ, Barbas, C & Herrera, E (2000) Low arachidonic acid rather than α-tocopherol is responsible for the delayed postnatal development in offspring of rats fed fish oil instead of olive oil during pregnancy and lactation. J Nutr 130, 28552865CrossRefGoogle ScholarPubMed
Armitage, JA, Khan, IY, Taylor, PD, Nathanielsz, PW & Poston, L (2004) Developmental programming of the metabolic syndrome by maternal nutritional imbalance: how strong is the evidence from experimental models in mammals? J Physiol 561, 355377CrossRefGoogle ScholarPubMed
Barbas, C & Herrera, E (1998) Lipid composition and vitamin E content in human colostrum and mature milk. J Physiol Biochem 54, 167174Google ScholarPubMed
Barker, DJ (1995) The fetal and infant origins of disease. Eur J Clin Invest 25, 457463CrossRefGoogle ScholarPubMed
Barzilai, N & Rossetti, L (1996) Age-related changes in body composition are associated with hepatic insulin resistance in conscious rats. Am J Physiol Endocrinol Metab 270, E930E936CrossRefGoogle ScholarPubMed
Bassant, MH, Jazat, FR & Lamour, YA (1994) Age-related alterations in local cerebral glucose utilization in the Sprague-Dawley rat. Neurodegeneration 3, 243250Google Scholar
Considine, RV (1997) Weight regulation, leptin and growth hormone. Horm Res 48, Suppl. 5116121CrossRefGoogle ScholarPubMed
Folch, J, Lees, M & Sloane Stanley, GH (1957) A simple method for the isolation and purification of total lipids from animal tissues. J Biol Chem 22, 2436Google Scholar
Gabriely, I, Ma, XH, Yang, XM, Atzmon, G, Rajala, MW, Berg, AH, Scherer, P, Rossetti, L & Barzilai, N (2002) Removal of visceral fat prevents insulin resistance and glucose intolerance of aging – an adipokine-mediated process? Diabetes 51, 29512958CrossRefGoogle ScholarPubMed
Hales, CN & Barker, DJ (1992) Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Diabetologia 35, 595601CrossRefGoogle ScholarPubMed
Hales, CN & Ozanne, SE (2003) For debate: Fetal and early postnatal growth restriction lead to diabetes, the metabolic syndrome and renal failure. Diabetologia 46, 10131019Google ScholarPubMed
Lanoue, L & Koski, KG (1994) Glucose-restricted diets alter milk composition and mammary gland development in lactating rat dams. J Nutr 124, 94102CrossRefGoogle ScholarPubMed
Lauren, L & the EURO-BLCS Study Group (2003) Relationship between birth weight and blood lipid concentrations in later life: evidence from existing literature. Int J Epidemiol 32, 862876CrossRefGoogle ScholarPubMed
Leon, DA (1998) Fetal growth and adult disease. Eur J Clin Nutr 52, S72S82Google ScholarPubMed
Lucas, A (1991) Programming by early nutrition in man. Ciba Found Symp 156, 3850Google ScholarPubMed
McCance, RA (1962) Food growth and time. Lancet 2, 271272Google ScholarPubMed
Munilla, MA & Herrera, E (1997) A cholesterol-rich diet causes a greater hypercholesterolemic response in pregnant than in nonpregnant rats and does not modify fetal lipoprotein profile. J Nutr 127, 22392245CrossRefGoogle Scholar
Passos, MCF, Ramos, CF & Moura, EG (2000) Short and long term effects of malnutrition in rats during lactation on the body weight of offspring. Nutr Res 20, 16031612CrossRefGoogle Scholar
Plagemann, A, Heidrich, I, Gotz, F, Rohde, W & Dorner, G (1992) Obesity and enhanced diabetes and cardiovascular risk in adult rats due to early postnatal overfeeding. Exp Clin Endocrinol 99, 154158CrossRefGoogle ScholarPubMed
Ravelli, GP, Stein, M & Susser, M (1976) Obesity in young men after famine exposure in utero and early infancy. N Engl J Med 295, 349353CrossRefGoogle ScholarPubMed
Ruiz, JI & Ochoa, B (1997) Quantification in the subnanomolar range of phospholipids and neutral lipids by monodimension thin-layer chromatography and image analysis. J Lipid Res 38, 14821489CrossRefGoogle Scholar
Sampson, DA & Jansen, GR (1984) Measurement of milk yield in the lactating rat from pup weight and weight gain. J Pediatr Gastroent Nutr 3, 613617Google ScholarPubMed
Srinivasan, M, Laychock, SG, Hill, DJ & Patel, MS (2003) Neonatal nutrition: metabolic programming of pancreatic islets and obesity. Exp Biol Med 228, 1523CrossRefGoogle ScholarPubMed
Tessitore, L, Batetta, B, Vizio, B, Mulas, MF, Marengo, B & Dessi, S (2000) Cell cholesterol esters and high-density lipoprotein plasma levels during liver hyperplasia in choline-fed male and female rats. Int J Exp Pathol 81, 241248CrossRefGoogle ScholarPubMed
Vadlamudi, S, Hiremagalur, KB, Tao, S, Kalhan, SC, Kalaria, RN, Kaung, HC & Patel, MS (1993) Long-term effects on pancreatic functions of feeding a HC formula to rats during the preweaning period. Am J Physiol Endocrinol Metab 265, E565E571CrossRefGoogle ScholarPubMed
Vadlamudi, S, Kalhan, SC & Patel, MS (1995) Persistence of metabolic consequences in the progeny of rats fed a HC formula in their early postnatal life. Am J Physiol Endocrinol Metab 269, E731E738CrossRefGoogle ScholarPubMed
Vilaró, S, Vinas, O, Remesar, X & Herrera, E (1987) Effects of chronic ethanol consumption on lactational performance in rat: mammary gland and milk composition and pups' growth and metabolism. Pharmacol Biochem Behav 27, 333339CrossRefGoogle ScholarPubMed
Waterland, RA & Garza, C (1999) Potential mechanisms of metabolic imprinting that lead to chronic disease. Am J Clin Nutr 69, 179197CrossRefGoogle ScholarPubMed
Waterland, RA & Garza, C (2002) Early postnatal nutrition determines adult pancreatic glucose-responsive insulin secretion and islet gene expression in rats. J Nutr 132, 357364CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1 Body weights (A) and lengths (B) during suckling in control (– ○ –) and large litter (LL; – ● –) sizes. Values are means with their standard errors for ten to twenty-seven representative pups from each litter (day 1) and total number of pups (fifty-six to ninety-four; days 5–20). Mean values were significantly different between the two groups on the corresponding days: *P < 0·05; **P < 0·01. For details of animals and procedures, see p. 1031.

Figure 1

Table 1 Tissue weights and metabolic variables in 20-d-old rats suckled in control and large litter (LL) sizes* (Values are means with their standard errors for six to seven rats per group)

Figure 2

Fig. 2 Body weight in male control (□) and large litter (■) and female (control and large litter ) size rats at different ages after weaning. Values are means with their standard errors for seven to twelve rats per group. a,b,c Mean values with unlike superscript letters were significantly different and indicate statistical comparison over the entire study period (P < 0·05). Mean values were significantly different between control and LL rats: *P < 0·05; **P < 0·01; ***P < 0·001.

Figure 3

Table 2 Plasma lipid and leptin levels at different ages in rats suckled in control and large litter (LL) sizes‡ (Values are means with their standard errors for six to twelve rats per group)

Figure 4

Table 3 Body and tissue weights in 20-month-old rats suckled in control and large litter (LL) sizes‡ (Values are means with their standard errors for seven to twelve rats per group)

Figure 5

Table 4 Tissue weights in 20-month-old rats suckled in control and large litter (LL) sizes‡ (Values are means with their standard errors for seven to twelve rats per group)

Figure 6

Table 5 Plasma lipoprotein profile in 20-month-old rats suckled in control and large litter (LL) sizes‡ (Values are means with their standard errors for seven to twelve rats per group)

Figure 7

Table 6 Liver lipid component in 20-month-old rats suckled in control and large litter (LL) sizes‡ (Values are means with their standard errors for seven to twelve rats per group)

Figure 8

Table 7 Glucose tolerance tests at different ages in 20-month-old rats suckled in control and large litter (LL) sizes‡ (Values are means with their standard errors for seven to twelve rats per group)