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Am J Physiol Regul Integr Comp Physiol 291: R1025-R1030, 2006. First published May 4, 2006; doi:10.1152/ajpregu.00898.2005
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DEVELOPMENTAL PHYSIOLOGY AND PREGNANCY

High-protein nutrition during pregnancy and lactation programs blood pressure, food efficiency, and body weight of the offspring in a sex-dependent manner

C. Thone-Reineke ,1,2,* P. Kalk,1,3,* M. Dorn ,1,2,{dagger} S. Klaus,2 K. Simon,1 T. Pfab,4 M. Godes,1,3 P. Persson,3 T. Unger,1 and B. Hocher1

1Center for Cardiovascular Research, Department of Pharmacology and Toxicology, Campus Mitte, Charite–Universitätsmedizin Berlin; 2German Institute of Human Nutrition, Potsdam-Rehbruecke, Germany; 3Institute of Vegetative Physiology, Charite, Campus Mitte, Berlin; and 4Department of Internal Medicine IV, Nephrology, Charite, Campus Benjamin Franklin, Berlin

Submitted 21 December 2005 ; accepted in final form 12 April 2006


    ABSTRACT
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 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Maternal low-protein diet during pregnancy is a risk factor for cardiovascular disease of the offspring in later life. The impact of high-protein diet during pregnancy on the cardiovascular phenotype of the offspring, however, is still unknown. We examined the influence of a high-protein diet during pregnancy and lactation on the renal, hemodynamic, and metabolic phenotype of the F1 generation. Female Wistar rats were either fed a normal protein diet (20% protein: NP) or an isocaloric high-protein diet (40% protein: HP) throughout pregnancy and lactation. At weaning, the offspring were fed with standard diet, and they were allocated according to sex and maternal diet to four groups: normal-protein male (NPm, n = 25), normal-protein female (NPf, n = 19), high-protein male (HPm, n = 24), high-protein female (HPf, n = 29). During the experiment (22 wk), the animals were characterized by repeated measurement of body weight, food intake, blood pressure, glucose tolerance, energy expenditure, and kidney function. At the end of the study period histomorphological analyses of the kidneys and weight measurement of reproductive fat pads were conducted. There were no differences in birth weight between the study groups. No influence of maternal diet on energy expenditure, glucose tolerance, and plasma lipid levels was detected. Blood pressure and glomerulosclerosis were elevated in male offspring only, whereas female offspring were characterized by an increased food efficiency, higher body weight, and increased fat pads. Our study demonstrates that a high-protein diet during pregnancy and lactation in rats programs blood pressure, food efficiency, and body weight of the offspring in a sex-dependent manner.

fetal programming; hypertension; thrifty phenotype hypothesis; maternal diet


DAVID BARKER AND COLLEAGUES (2) described a close relation between mortality due to ischemic heart disease and infant mortality. Thus they proposed that poor living conditions, such as poor nutrition in early life, increase susceptibility to cardiovascular disease in adulthood. Moreover, Hales and Barker coined the "thrifty phenotype hypothesis" (8), which suggested that poor nutritional conditions lead to a lasting adaptive response of the fetus to enhance postnatal survival. This adaptive response of the fetus promotes a heightened sensitivity to hypernutrition and subsequent metabolic and cardiovascular disease in later life.

This novel concept of a fetal "programming" (19) of the susceptibility to metabolic and cardiovascular disease in adulthood has sparked extensive research in recent years. It has been established by a broad range of epidemiological studies that low birth weight is associated with cardiovascular death in adulthood (23); similar associations with risk factors, such as hypertension (11) and noninsulin-dependent diabetes (9) have been demonstrated. This concept has been proven via animal studies revealing that maternal low-protein nutrition leads to low birth weight in the offspring followed by higher blood pressure and altered insulin sensitivity (16, 24).

However, in the contemporary Western world, the main health care issue is no longer hyponutrition, but hypernutrition. Therefore it is vital to address the question whether the corresponding phenomena of fetal programming can also occur in the offspring of mothers subjected to hypernutrition. The literature regarding this issue is limited (1), and especially, the effects of a maternal high-protein diet on the offspring phenotype remain poorly investigated. Human epidemiological data regarding this point are inconclusive for a number of reasons (22). But as we know that in the Western world, dietary protein intake exceeds the recommended levels among young people (25), it is crucial to investigate the effects of a high-protein diet on the phenotype of the offspring. Thus we designed this study to examine the impact of maternal isocaloric high-protein diet during pregnancy and lactation on metabolic and cardiovascular phenotype of the offspring in rats.


    MATERIALS AND METHODS
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 MATERIALS AND METHODS
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Experimental design. The experiment was performed in accordance with the guidelines of the ethics committee of the Ministry of Agriculture, Nutrition and Forestry (State Brandenburg, Germany, Permission No. 32/48–3560-0/3). Rats were housed in a temperature-controlled room with 12:12-h light-dark cycle and free access to water and food. Food consumption and body weight were monitored twice a week.

Female and male adult rats (Wistar; Charles River, Hamburg, Germany) were switched from a commercial rat diet (Altromin GmbH 1321, Lage, Germany) to purified isocaloric diets containing either a high-protein (HP: 40% protein) or a normal protein concentration (NP: 20% protein) (Table 1). One male and one female rat were housed together for 3 days to mate. During the gestation and lactation periods, rats were housed individually. Only the original litter size of 8–12 pups/dam was considered. During the suckling period (21 days), the mothers continued to consume the diet they had been exposed to during pregnancy. From weaning on, the offspring were fed a commercial standard diet (Altromin) and water ad libitum. According to the maternal diet, the offspring were allocated to four groups: normal-protein male (NPm, n = 25), normal-protein female (NPf, n = 19), high-protein male (HPm, n = 24), high-protein female (HPf, n = 29). The duration of the study was 22 wk, in which body weight of the pups was measured daily for the first 2 wk and afterward twice a week; food consumption was measured twice a week. During the study, blood pressure was measured by using a tail cuff device (Boucke, model FIB4/6-TARC) at week 4, 10, 16, and 22. Animals were placed in metabolic cages for a period of 16 h to obtain urine samples at week 8, 14, and 22, at the same time blood samples were taken from the retro-orbital vein plexus. Afterward, urine volumes were calculated for a 24-h period and glomerular filtration rate was derived by calculating endogenous creatinine clearance using standard formulae. At week 22, a glucose tolerance test was performed by injecting a 50% glucose solution at a dose of 2 g/kg of body weight into the peritoneal cavity. Once before injection and 15, 30, 60, and 120 min afterward, blood was obtained from the tail vein, and glucose concentration was measured. The food was removed from the cages on the day before measurement to ensure accurate fasting glucose values. At the end of the study, the animals were put under anesthesia and killed by decapitation; hearts, kidneys, and the epididymal/ovarian fat pads were weighed, and the kidneys were preserved for histological study.


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Table 1. Composition of semisynthetic diets with NP or a HP protein concentration

 
Measurement of metabolic parameters. At week 12, energy expenditure of individual rats was measured using indirect calorimetry (12). Oxygen consumption and CO2 production were determined every 6 min in an open respiratory system (O2 and CO2 analyzers: Magnos 16 NS U14, Hartmann and Braun, Frankfurt/Main, Germany). The animals were housed in the system for a total period of 48 h subdivided in a 24-h adaptation period followed by 24-h period of data collection. Energy expenditure was calculated according to Weir (27). Total energy expenditure was calculated as a 24-h mean. Resting metabolic rate was calculated as a mean of the 20 lowest values during the measurement period according to a procedure previously described in mice (12).

Histological evaluation. For histological evaluation, kidneys were embedded in paraffin, cut in 3-µm sections, and submitted to hematoxylin and eosin, Sirius Red (SR), perioxide acid-Schiff (PAS), and Elastica-van Gieson staining. Glomerulosclerosis was defined by the presence of PAS-positive material within the glomeruli. To quantify the amount of glomerulosclerosis, a semiquantitative score was used, as recently described (10). Two investigators who were blinded to the groups to which the kidneys belonged judged the results.

The severity of renal interstitial fibrosis was evaluated after SR staining using computer-aided histomorphometry devices. In brief, at least 30 microscopic pictures per kidney section were transferred to a PowerMAC via Hitachi-CCD camera. After manually setting a threshold using a randomly chosen subset of the pictures, we measured the relationship of SR-stained area (connective tissue) to total area of the picture using the National Institutes of Health (NIH) Image program, version 1.61.

Accordingly, microscopic pictures of kidney sections after Elastica-van Gieson staining showing intrarenal arteries were generated. We measured the area contents of the media and the lumen of intrarenal arteries using the NIH Image program; afterwards media/lumen ratio was calculated.

Renal perivascular fibrosis was judged after SR staining using a semiquantitative score by two independent investigators blinded to the groups to which the animals belonged.

Statistical analysis. All data were analyzed by using SPSS for Windows (SPSS, version 11.5, Chicago, IL). The data were expressed as means ± SE. ANOVA was used to screen for significant variances among the study groups; Student's t-test was used to detect significant differences between two groups of interest. Statistical significance was assumed with a value of P < 0.05.


    RESULTS
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 MATERIALS AND METHODS
 RESULTS
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Growth. Birth weight was not different between diet groups; neither was body weight during the suckling period. After weaning, body weight gain was not different in male HP and NP rats. But the female HP group developed a slightly, but significantly, higher body weight at the beginning of puberty, persisting until the end of the experiment compared with the female NP group (Fig. 1).


Figure 1
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Fig. 1. Body weight development in female (A) and male (B) rats. NPm, normal-protein male offspring; NPf, normal-protein female offspring; HPm, high-protein male offspring; HPf, high-protein female offspring. All values are given as means ± SE. *P < 0.05; **P < 0.01.

 
Food consumption and food efficiency. The development of food consumption was different in male and female HP groups vs. NP groups. After the suckling period, the female HPs started with a significantly higher food intake than the female NPs (Fig. 2).


Figure 2
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Fig. 2. Food intake in female (A) and male (B) rats. All values are given as means ± SE. *P < 0.05, **P < 0.01; ***P < 0.001.

 
This changed after puberty, and during the rest of the study period, female HP showed a persistently reduced food intake compared with female NP (Fig. 2). The cumulative food intake from weeks 5–20 was significantly lower in the female HPs vs. female NPs (Fig. 3). If this fact is viewed in the context of the slightly higher body weight in the female HPs vs. the female NPs (see above), this indicates significantly enhanced food efficiency in female HPs (Fig. 4).


Figure 3
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Fig. 3. Cumulative food intake weeks 5–20 in female (NPf and HPf) and male (NPm and HPm) rats. All values are given as means ± SE. **P < 0.01 vs NPf.

 

Figure 4
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Fig. 4. Food efficiency expressed as body weight per food intake per week in female (A) and male (B) rats. All values are given as means ± SE. *P < 0.05; **P < 0.01.

 
The male HP group had a significantly increased food intake only in weeks 3, 4, 13, 15, and 16 compared with NPm (Fig. 2).

Laboratory results. No significant differences between HP and NP study groups regarding blood electrolytes, Ca, phosphate, ALT, AST, albumin, creatinine, urea, triglycerides, or cholesterol was detected at weeks 8, 14, and 22. A glucose tolerance test performed at the end of the study period did not show any significant differences between NP and HP study groups (data not shown).

Blood pressure and heart rate. Blood pressure monitored during the study period in the male offspring of rats fed NP or HP diets is illustrated in Fig. 5.


Figure 5
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Fig. 5. Systolic blood pressure in female (A) and male (B) rats. All values are given as means ± SE. *P < 0.05; **P < 0.01.

 
In the male study groups, the HP group developed a significantly higher blood pressure than the NP group at the age of 4 wk, and this effect persisted through the entire study period. In the female groups, no differences in blood pressure were detected.

Heart rate was assessed together with the blood pressure. We did not detect any difference between the study groups regarding the heart rate at any measurement; for example, heart rates at the end of the study were 399 ± 8.9 (NPf), 413 ± 8.6 (HPf), 400 ± 8.4 (NPm), and 416 ± 9.8 (HPm).

Metabolic parameters and organ weight. At the end of the study period, the weight of the ovarian fat pad was significantly increased in the female HP group compared with the NPf. The male groups showed no significant difference regarding the epididymal fat pad weight (Fig. 6).


Figure 6
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Fig. 6. Reproductive fat pad weight per 100 g body wt in female and male rats. All values are given as means ± SE. **P < 0.01 vs NPf.

 
The weight of heart or liver was not influenced by the diet, but in both sexes, the kidney weight of the HP group was slightly increased (data not shown).

Total energy expenditure (NPf 162.1 ± 4.8 kJ/days; HPf 172.0 ± 8.1 kJ/days; NPm 220.2 ± 3.5 kJ/days; HPm 218.6 ± 6.2 kJ/days) and resting metabolic rate/metabolic body mass (NPf 409.2 ± 21.0; HPf 398.4 ± 10.5; NPm 388.5 ± 11.8; HPm 385.6 ± 15.0) were similar in all study groups and were not influenced by high-protein diet during pregnancy or sex.

Kidney function and morphology. No significant differences regarding glomerular filtration rate, urine electrolyte and urinary protein excretion were detected during the study (Table 2).


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Table 2. Synopsis of urine parameters and kidney histology at the end of the study

 
Histological evaluation of the kidneys did not reveal any differences between the study groups regarding the following parameters: perivascular fibrosis, interstitial fibrosis, media-to-lumen ratio of intrarenal arteries, the total number and volume of glomerula (Table 2). However, there was a slight but significant increase of glomerulosclerosis in the male HP group vs. NPm.


    DISCUSSION
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Our animal study was designed to investigate the impact of a maternal high-protein diet on the renal, hemodynamic, and metabolic phenotype of the offspring, as hypernutrition, and its consequences are widespread phenomena and major health care issues throughout developed countries (14). Our study demonstrated that a high-protein diet during pregnancy and lactation in rats programs blood pressure, kidney morphology, food efficiency, and body weight in a sex-dependent manner.

Male offspring were characterized by significantly elevated blood pressure and a slightly higher degree of glomerulosclerosis. Our data are in agreement with a human study showing that a maternal high-protein, low-carbohydrate diet is linked to elevated blood pressure in the offspring (26). However, Zimanyi et al. (30) did not find an influence of maternal high-protein diet on blood pressure, kidney weight, and kidney histology in male rats (30). To explain these conflicting results, one has to take into account that the difference in blood pressure that we observed was about 10 mmHg, and the study groups of Zimanyi et al. (30) were about half the size of our study groups, so their study was probably underpowered to detect the difference. In addition, there seemed to be technical problems, because baseline systolic blood pressure values in their healthy control group were very high (170 ± 14 mmHg; see Ref. 30). Furthermore, there were important differences in the study design used by Zimanyi et al (30). Their high-protein diet consisted of 54% protein, whereas in our study, the protein content was 40% and, unlike in our study, they did not continue the maternal high-protein diet during the lactation period. In addition, blood pressure values given in their publication were measured at week 30, whereas our last measurement was performed at week 22; therefore, we cannot exclude a possible convergence of the groups beyond that point.

Although literature regarding a high-protein setting is rare, similar sex-dependent effects on the offspring in the setting of a maternal low-protein diet are well known. Kwong et al. (15) described in male offspring of protein-restricted rats a significantly elevated blood pressure and an increased kidney weight, whereas in females, both effects were absent (15). Langley-Evans et al. (18) likewise described that protein restriction in early gestation increased blood pressure only in male descendants.

Hypertension in a maternal low-protein setting is known to be linked to impaired nephrogenesis with subsequent lower nephron number in the offspring (28). As those parameters are normal in our study (see Table 2), an impaired nephrogenesis is unlikely to account for the blood pressure elevation in a high-protein setting.

As the tail-cuff method is known to be stressful, and we neither performed blood pressure measurement by indwelling catheter nor assessed stress hormone levels, we cannot exclude that an altered stress response in the male HP group contributed to the elevated blood pressure. However, as heart rates did not differ between the groups and the blood pressure was lowest at the very first measurement in all groups, we consider a significant amount of stress to be unlikely in our setting.

Our study is the first to demonstrate that the female offspring phenotype of mothers subjected to high-protein diet during pregnancy and lactation is characterized by an increased food efficiency followed by slightly higher body weight and increased ovarial fat pad weight, which is a widely used marker for obesity (4, 6, 21). The only animal study, including female offspring phenotype parameters in the setting of maternal high-protein diet from Zhang et al. (29) reported no difference in body weight in adult female mice offspring; food efficiency or fat pads were not investigated in their study. The difference is most probably related to the fact that they used a high-protein, but also a high-unsaturated-fat diet. In addition, their high-protein diet consisted of only 28%, whereas in our study it was 40% protein.

Increased food efficiency can be explained by decreasing either energy expenditure or body core temperature or locomotor activity. As there were no differences in energy expenditure between our study groups we were able to exclude this as an explanation. As body core temperature and locomotor activity were not assessed in our study, further investigations are needed to elucidate this point.

In our study no differences in birth weight related to maternal diet were detected. This is in line with a recent meta-analysis of human studies addressing the issue of maternal protein supplementation and fetal outcome (13). The animal studies known to us using a maternal high-protein diet are not conclusive at this point: Daenzer et al. (5) found a lower birth weight, Zhang et al. (29) found a higher birth weight, and Zimanyi et al. (30) did not find a difference in offspring birth weight. This is most likely due to wide variations in diet composition and group sizes between the studies.

We did not detect an impact of maternal diet on blood lipids, which is in line with the findings by Zhang et al. (29); neither was there an impact on glucose tolerance.

The modulating effect of sex could best be demonstrated in the increased food efficiency in females: The decrease of food intake and the increase of body weight with subsequent enhanced food efficiency started directly after the sexual maturity (8–10th wk). Before that crucial point, there was no difference in weight, and the food intake was even inversed between the two female study groups (see Fig. 2).

A recent review regarding fetal programming in the setting of hyponutrition stated that there is an impact of sex in a range of animal species, but the physiological basis of this effect is not yet understood (20). One possible explanation is that mammalian male preimplantation embryos might exhibit a heightened sensitivity to maternal environment, as they develop faster than the female embryo (7).

We are well aware that the most important limitation in interpreting results dealing with fetal programming is the maternal diet interdependency. In our case, the high-protein diet is at the expense of the carbohydrate content (see Table 1). It is well known that relationships between nutritional contents are complex, for example, a low-protein, high-starch diet produces hypertension in the offspring, while a low-protein, high-glucose diet does not (17). From human studies, we know that the impact on hypertension in the offspring is determined interdependently by protein and carbohydrate contents of maternal diet (3).

As a conclusion, our study demonstrates that a high-protein diet during pregnancy and lactation in a rat model programs blood pressure, food efficiency, and body weight in a sex-dependent way.


    GRANTS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
This study was supported by a grant from the Deutsche Forschungsgemeinschaft to Dr. B. Hocher (DFG Ho1665–5/2). The work of Dr. P. Kalk was supported by a grant from the Dr.-Werner-Jackstaedt-Stiftung.


    ACKNOWLEDGMENTS
 
The technical assistance of Norma Schulz, Elisabeth Meyer, Carola Plaue, Elke Thom, Elvira Steinmeyer, and Jeanette Krause is appreciated.


    FOOTNOTES
 

Address for reprint requests and other correspondence: B. Hocher, Center for Cardiovascular Research, Dept. of Pharmacology and Toxicology, Charité, Hessische Str. 3–4, 10115 Berlin (e-mail: berthold.hocher{at}charite.de)

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

* C. Thone-Reineke and P. Kalk contributed equally to this work. Back

{dagger} Deceased 25 September 2004. Back


    REFERENCES
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 REFERENCES
 

  1. Armitage JA, Taylor PD, and Poston L. Experimental models of developmental programming: consequences of exposure to an energy rich diet during development. J Physiol 565: 3–8, 2005.[Abstract/Free Full Text]
  2. Barker DJ and Osmond C. Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet 1: 1077–1081, 1986.[ISI][Medline]
  3. Campbell DM, Hall MH, Barker DJ, Cross J, Shiell AW, and Godfrey KM. Diet in pregnancy and the offspring's blood pressure 40 years later. Br J Obstet Gynaecol 103: 273–280, 1996.[ISI][Medline]
  4. Cheverud JM, Ehrich TH, Kenney JP, Pletscher LS, and Semenkovich CF. Genetic evidence for discordance between obesity- and diabetes-related traits in the LGXSM recombinant inbred mouse strains. Diabetes 53: 2700–2708, 2004.[Abstract/Free Full Text]
  5. Daenzer M, Ortmann S, Klaus S, and Metges CC. Prenatal high protein exposure decreases energy expenditure and increases adiposity in young rats. J Nutr 132: 142–144, 2002.[Abstract/Free Full Text]
  6. Ehrich TH, Hrbek T, Kenney-Hunt JP, Pletscher LS, Wang B, Semenkovich CF, and Cheverud JM. Fine-mapping gene-by-diet interactions on chromosome 13 in a LG/J x SM/J murine model of obesity. Diabetes 54: 1863–1872, 2005.[Abstract/Free Full Text]
  7. Erickson RP. Does sex determination start at conception? Bioessays 19: 1027–1032, 1997.[CrossRef][ISI][Medline]
  8. Hales CN and Barker DJ. Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Diabetologia 35: 595–601, 1992.[CrossRef][ISI][Medline]
  9. Hales CN, Barker DJ, Clark PM, Cox LJ, Fall C, Osmond C, and Winter PD. Fetal and infant growth and impaired glucose tolerance at age 64. BMJ 303: 1019–1022, 1991.[ISI][Medline]
  10. Hocher B, Thone-Reineke C, Rohmeiss P, Schmager F, Slowinski T, Burst V, Siegmund F, Quertermous T, Bauer C, Neumayer HH, Schleuning WD, and Theuring F. Endothelin-1 transgenic mice develop glomerulosclerosis, interstitial fibrosis, and renal cysts but not hypertension. J Clin Invest 99: 1380–1389, 1997.[ISI][Medline]
  11. Huxley RR, Shiell AW, and Law CM. The role of size at birth and postnatal catch-up growth in determining systolic blood pressure: a systematic review of the literature. J Hypertens 18: 815–831, 2000.[CrossRef][ISI][Medline]
  12. Klaus S, Munzberg H, Truloff C, and Heldmaier G. Physiology of transgenic mice with brown fat ablation: obesity is due to lowered body temperature. Am J Physiol Regul Integr Comp Physiol 274: R287–R293, 1998.[Abstract/Free Full Text]
  13. Kramer MS and Kakuma R. Energy and protein intake in pregnancy. Cochrane Database Syst Rev 4: CD000032, 2003.
  14. Krauss RM, Winston M, Fletcher BJ, and Grundy SM. Obesity: impact on cardiovascular disease. Circulation 98: 1472–1476, 1998.[Free Full Text]
  15. Kwong WY, Wild AE, Roberts P, Willis AC, and Fleming TP. Maternal undernutrition during the preimplantation period of rat development causes blastocyst abnormalities and programming of postnatal hypertension. Development 127: 4195–4202, 2000.[Abstract]
  16. Langley SC and Jackson AA. Increased systolic blood pressure in adult rats induced by fetal exposure to maternal low-protein diets. Clin Sci (Lond) 86: 217–222, 1994.[Medline]
  17. Langley-Evans SC. Intrauterine programming of hypertension by glucocorticoids. Life Sci 60: 1213–1221, 1997.[CrossRef][ISI][Medline]
  18. Langley-Evans SC, Welham SJ, Sherman RC, and Jackson AA. Weanling rats exposed to maternal low-protein diets during discrete periods of gestation exhibit differing severity of hypertension. Clin Sci (Lond) 91: 607–615, 1996.[Medline]
  19. Lucas A. Programming by early nutrition in man. Ciba Found Symp 156: 38–50, 1991.[Medline]
  20. McMillen IC and Robinson JS. Developmental origins of the metabolic syndrome: prediction, plasticity, and programming. Physiol Rev 85: 571–633, 2005.[Abstract/Free Full Text]
  21. Mehrabian M, Wen PZ, Fisler J, Davis RC, and Lusis AJ. Genetic loci controlling body fat, lipoprotein metabolism, and insulin levels in a multifactorial mouse model. J Clin Invest 101: 2485–2496, 1998.[ISI][Medline]
  22. Metges CC. Does dietary protein in early life affect the development of adiposity in mammals? J Nutr 131: 2062–2066, 2001.[Abstract/Free Full Text]
  23. Osmond C, Barker DJ, Winter PD, Fall CH, and Simmonds SJ. Early growth and death from cardiovascular disease in women. BMJ 307: 1519–1524, 1993.[ISI][Medline]
  24. Ozanne SE, Wang CL, Coleman N, and Smith GD. Altered muscle insulin sensitivity in the male offspring of protein-malnourished rats. Am J Physiol Endocrinol Metab 271: E1128–E1134, 1996.[Abstract/Free Full Text]
  25. Rolland-Cachera MF, Bellisle F, and Deheeger M. Nutritional status and food intake in adolescents living in Western Europe. Eur J Clin Nutr 54 Suppl 1: S41–S46, 2000.
  26. Shiell AW, Campbell-Brown M, Haselden S, Robinson S, Godfrey KM, and Barker DJ. High-meat, low-carbohydrate diet in pregnancy: relation to adult blood pressure in the offspring. Hypertension 38: 1282–1288, 2001.[Abstract/Free Full Text]
  27. Weir JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 109: 1–9, 1949.[Free Full Text]
  28. Woods LL, Weeks DA, and Rasch R. Programming of adult blood pressure by maternal protein restriction: role of nephrogenesis. Kidney Int 65: 1339–1348, 2004.[CrossRef][ISI][Medline]
  29. Zhang J, Wang C, Terroni PL, Cagampang FR, Hanson M, and Byrne CD. High-unsaturated-fat, high-protein, and low-carbohydrate diet during pregnancy and lactation modulates hepatic lipid metabolism in female adult offspring. Am J Physiol Regul Integr Comp Physiol 288: R112–R118, 2005.[Abstract/Free Full Text]
  30. Zimanyi MA, Bertram JF, and Black MJ. Nephron number and blood pressure in rat offspring with maternal high-protein diet. Pediatr Nephrol 17: 1000–1004, 2002.[CrossRef][ISI][Medline]



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