Skip to main content
  • Proceedings
  • Published:

Metabolic programming in pregnancy: studies in animal models

The developmental origins of adult disease hypothesis

Epidemiological studies of many large populations indicate that non-communicable diseases in adulthood are related to factors in fetal life or during infancy [1]. Low birthweight or disproportion at birth are associated with increased risk of cardiovascular disease and type-II diabetes. These associations have been explained in terms of developmental programming, which is the process through which insults or stimuli during early life exert permanent effects upon organ development, physiology and metabolism [18]. Variation in the nutrient supply during fetal has been proposed as the major programming stimulus that determines risk of disease in adulthood.

Studies of human cohorts have mainly required the use of retrospective cohorts and this has raised serious issues regarding control for confounding factors, selection bias and measurement bias [11]. Moreover, within relatively well-nourished populations variation in maternal nutrient intakes are noted to have little impact upon patterns of fetal growth or birthweight [17], which has led some observers to question the plausibility of the developmental origins of adult disease hypothesis. Experimental studies employing small animal species (e.g. rat, mouse or guinea pig) or larger species (pig and sheep) have, however, clearly demonstrated the biological plausibility of nutritional programming [25]. A diverse range of nutritional manipulations in pregnancy have been shown to programme profound changes in tissue morphology, physiology and metabolism and often these changes occur independently of fetal growth retardation [25].

Animal models of cardiovascular programming

Although the approaches used to manipulate the maternal diet in order to test the developmental programming hypothesis have been varied, cardiovascular changes in the resultant offspring are a near universal outcome. Global nutrient restriction during pregnancy (controlled reductions of maternal nutrient intake) in rodents [36] and in sheep [9] produces small changes in blood pressure in the adult offspring, which often only manifest at maturity. Similar delays in the appearance of blood pressure changes are noted with the feeding of high-saturated fat diets [15] or iron deficient diets [8] to pregnant rats. In contrast the marked increase in blood pressure and variation in vascular reactivity to vasoconstrictors and relaxants that follows intrauterine protein restriction [7, 16] tends to manifest very early in the postnatal period (Fig. 1).

Fig. 1
figure 1

Systolic blood pressure (SBP) of rats exposed to a maternal low-protein diet in utero. Fetal undernutrition promotes a significant elevation of blood pressure that is manifest from as early as weaning (4 weeks) and which persists throughout the life of the animal. *P < 0.05 between groups

One of the major drawbacks of working with rodent species is the fact that these are generally resistant to the development of atherosclerosis. Thus, whilst nutritional programming of cardiovascular risk factors is demonstrable, the development of coronary heart disease is difficult to model in animals. Ongoing studies with transgenic lines which develop vascular lesions in response to high fat-high cholesterol diets, for example the apo E*3 Leiden strain [10], will yield important data in this area over the next few years

Glucose intolerance and insulin resistance

A number of studies have investigated the impact of manipulating the maternal diet upon glucose metabolism in the associated offspring, and these studies indicate that there are sensitive periods for programming in both the prenatal and suckling periods. Studies of the effects of low-protein diets generally find that the response to a glucose load is enhanced in young adult animals, but that with ageing insulin resistance develops [29]. High-fat diets in pregnancy also programme insulin resistance in older rat offspring [33]. However, iron deficiency in utero is not associated with impaired glucose tolerance, indicating that, in contrast to cardiovascular programming, the dietary insults promoting disturbances of glucose and insulin may involve specific nutrients [8].

Programming of appetite and obesity

Epidemiological data regarding the programming of obesity is somewhat equivocal. Whilst it seems likely that early infancy is a sensitive period for establishing lifelong risk of adiposity and possibly appetite [14], data relating to fetal life is conflicting. Most studies show that weight at birth is positively related to BMI in adulthood, although there are some exceptions to this that show an inverse relationship. Interestingly data from the wartime Dutch Hunger Winter indicate that undernutrition in the first trimester of pregnancy may programme later obesity in both men and women [32].

In animals it appears that undernutrition programmes an enhanced propensity for fat deposition, but this propensity requires the additional insult of a high-fat diet in postnatal life. The timing of this postnatal challenge may be critical. In rats subject to protein restriction or global nutrient restriction in utero the introduction of a high-fat diet at weaning leads to a greater degree of obesity than is noted in the offspring of rats fed a control diet [13, 34]. However, studies in which high-fat feeding is introduced in adult life do not show the same finding. Programming of obesity in animal models is also apparent when excess nutrients are available to the developing offspring. Plagemann et al. [31], have demonstrated that overnutrition of suckling rats leads to hyperphagia and obesity in adult life.

The programming of obesity appears to be associated with effects of maternal nutrition upon both appetite and energy expenditure. The offspring of rats subject to 70% food restriction in pregnancy exhibit both hyperphagia and reduced locomotor activity [35]. Similarly the offspring of rats fed low-protein diets in pregnancy have reduced locomotor activity, although the effects are small and dependent upon the timing of maternal nutrient restriction [4] (Fig. 2). When offered a low-fat standard laboratory chow diet such animals are hypophagic, but when provided with a choice of fat-, protein- or carbohydrate-rich foods become hyperphagic and show an increased preference for fat [3] (Fig. 3).

Fig. 2
figure 2

Programming of locomotor activity. Rats exposed to a maternal low-protein diet during fetal development had locomotor activity determined at 13 months of age using an infrared array system. The data shows seconds spent active or inactive during a 30-min period during the daylight. *P < 0.05 between groups [4]

Fig. 3
figure 3

Macronutrient self-selection by rats exposed to undernutrition in utero. The offspring of pregnant rats fed a low-protein diet throughout pregnancy were provided with a choice of fat-, protein- or carbohydrate-rich food sources. Macronutrient intake was calculated and the low protein exposed animals were found to consume significantly (*P < 0.05) more fat than control rats of the same age [3]

Intergenerational programming

There is some evidence from studies of animals to suggest that the effects of undernutrition in fetal life may be transmissible through several generations. Beach et al. [2] fed zinc deficient diets in mouse pregnancy and noted that effects upon the immune system of the offspring persisted for three generations. Similarly (Fig. 4), the effects of a maternal low-protein diet on blood pressure in rats can be transmitted to a second generation [19]. Further studies are required to investigate such phenomena in more detail. The fact that acquired metabolic or disease phenotypes can be transmitted between generations suggests that the process through which programming occurs must impact upon heritable material. Such observations therefore provide a strong clue that epigenetic modification of gene expression by nutritional factors during early development is at least one of many programming mechanisms. The existence of intergenerational effects following relatively brief exposures to undernutrition could also be of profound importance in terms of public health. In populations undergoing a nutritional transition (e.g. India and Brazil), the consequences of many generations of poor nutrition, followed by the switch to the dietary patterns of more affluent nations may be felt for many decades.

Fig. 4
figure 4

Evidence of intergenerational effects on maternal protein restriction upon blood pressure. Pregnant rats were fed either control (CON) or Low Protein (LP) diets in utero. Offspring were all fed the same standard diet and were mated to produce a second generation without further dietary change. Blood pressure of this second generation was measured at 8 weeks of age. The resulting offspring had raised blood pressure. This F1 generation were crossed to yield the F2. Low-blood pressures were noted in the offspring of low protein exposed females mated with low protein exposed males, but the hypertensive phenotype was transmitted by these females if mated with a control male (*P < 0.05) [19]

Mechanisms of utritional programming

It is apparent that a wide variety of nutritional manipulations in rodent pregnancy produce a relatively narrow and consistent range of responses in the mature offspring. This suggests that whilst there may be more than one mechanism linking variation in nutrition to eventual physiological and metabolic phenotypes, it is likely that there are a few common mechanisms exerting these effects irrespective of the precise nature of the nutritional insult.

Tissue remodelling

The simplest process through which nutrition could programme long-term function of organs is likely to involve alteration to the structure of organs. All organs essentially develop from small pools of embryonic progenitor cells. These cell lines go through phases of proliferation and differentiation to produce the mature organ with all of its’ specialist cell types. Nutritional insults that impact upon the developing organ during either or both of these phases will have the potential to remodel the structure of that organ. Reductions in cell number or changes in cell type will have the capacity to limit the number of functional structures within the organ, to alter the patterns of gene expression within those structures and to change the cell–cell signalling pathways that regulate the actions of the organ.

There are numerous examples of tissue remodelling following a programming insult in rodents. The kidney, for example, appears vulnerable to protein restriction and in the rat even brief periods of undernutrition can elicit decreases in nephron number of up to 30% (Fig. 5). The reduction in the number of functional units within the kidney is observed with little discernible change in organ weight, suggesting that differentiation has been disrupted thereby producing structures other than nephrons [23]. Similarly, within the hypothalamus undernutrition altered the volume of key centres involved in appetite control and reduced the density of neurons staining for neuropeptide Y and galanin [30]. Remodelling of hypothalamic structure could have a huge impact upon most physiological systems and organs within the body due to the role of this brain region as an integrator of homeostasis.

Fig. 5
figure 5

Nephron number is significantly (P < 0.05) reduced in rats exposed to a maternal low-protein diet in utero. The decline in nephron number with ageing is likely to result in earlier renal failure and associated pathology in the prenatally undernourished rats at an earlier age than is seen in control animals

Role of glucocorticoids

In humans and animals there is a gradient of active glucocorticoid concentrations across the placenta. The fetal tissues are protected from the massive excess of corticosteroids in maternal circulation by the placental isoform of 11β-hydroxysteroid dehydrogenase (11βHSD2). This gatekeeper enzyme converts active glucocorticoids to inactive forms, thereby ensuring the autonomy of the fetal hypothalamic-pituitary-adrenal axis and preventing glucocorticoid activation of genes that promote early maturation of tissues. Studies of rats fed low-protein diets in pregnancy have shown that placental 11βHSD2 is down-regulated by undernutrition [22] (Fig. 6) and similar effects are noted in nutrient restricted sheep [27].

Fig. 6
figure 6

Placental 11βHSD 2 expression in the rat. The feeding of a maternal low-protein diet down-regulates both gene expression and enzyme activity (*P < 0.05) [5, 22]

In addition to this evidence that the placental control of maternofetal endocrine cross-talk is disrupted by undernutrition, it is apparent that the glucocorticoids may directly mediate some of the observed programming effects of nutrition. Whilst the effects of maternal protein restriction on offspring blood pressure can be duplicated by administering an inhibitor of 11βHSD2 [21], the opposite effect can also be demonstrated. Treatment of protein restricted rat dams with an inhibitor of glucocorticoid synthesis protects their fetuses from nutritionally programmed hypertension [20].

Recent studies have indicated that the effects of glucocorticoids in relation to fetal undernutrition may be sex-specific. Whilst nutrition can regulate the long-term expression of angiotensin-II receptors in the rat kidney, a possible underlying cause of renal tissue remodelling, the effect is seen in females only and is glucocorticoid independent. In males programming of blood pressure is glucocorticoid-dependent [26].

DNA methylation and epigenetic programming

The expression of genes may be silenced by epigenetic mechanisms such as DNA methylation or histone acetylation. The window of opportunity for the establishment of patterns of DNA methylation is believed to lie entirely within the developmental stage of life. The pattern of methylation is believed to be fixed beyond this point and so factors including variation in nutrient supply that impact upon the process in early life may have permanent effects on gene expression [37].

The methylation of DNA is catalysed by the DNA methyltransferases and utilises S-adenosylmethionine as the principal methyl donor. As a result DNA methylation is strongly linked to two biochemical pathways; the folate cycle and the methionine–homocysteine cycle [28]. Studies of the impact of low-protein diets in rat pregnancy have generally used casein as the sole protein source, and as such have required additional dietary methionine to provide requirements for sulphur. This may promote disturbances of the methionine–homocysteine cycle that impact upon the provision of methyl donors for methylation of DNA. This view is supported by evidence from a number of studies in which the MLP diet is supplemented with folic acid [24], or with glycine [12]. These generally show that the effects of low-protein feeding can be reversed. Lillycrop et al. [24], have shown that MLP feeding impacted upon both the expression and methylation status of specific genes (Fig. 7). However, in contrast Bogdarina et al. [6] found no evidence that maternal protein restriction impacted on the methylation of the promoter for hepatic glucokinase, despite programmed changes in gene expression.

Fig. 7
figure 7

Gene expression and methylation status in rat liver. Pregnant animals were fed control or low-protein diets throughout gestation [24]. A third group were fed the low-protein diet, with supplemental folate. Methylation status and gene expression were assessed in the livers of the adult offspring. Methylation of the glucocorticoid receptor (GR) gene and PPAR alpha was sensitive to maternal dietary factors and accordingly the expression of these genes was increased. PPAR gamma methylation and expression were not influenced by the maternal diet (*P < 0.05) [24]

Conclusion

Animal studies show that even very short periods of nutrient restriction or excess at any stage of fetal development can exert powerful effects upon long-term health and well-being. These findings are wholly consistent with the concept that all disease is related to cumulative experience across the lifespan. The interindividual variation in response to nutrients is not wholly explained by nutrient–gene interactions and overall disease risk is determined by the nutritionally programmed phenotype, which can also impact upon gene expression and upon the nature of the metabolic and physiological response to the prevailing environment. This adds to the complexity of designing approaches to personalised nutrition.

References

  1. Barker DJ (2003) The developmental origins of adult disease. Eur J Epidemiol 18:733–736

    Article  PubMed  CAS  Google Scholar 

  2. Beach RS, Gershwin ME, Hurley LS (1982) Gestational zinc deprivation in mice: persistence of immunodeficiency for three generations. Science 218:469–471

    Article  PubMed  CAS  Google Scholar 

  3. Bellinger L, Lilley C, Langley-Evans SC (2004) Prenatal exposure to a maternal low-protein diet programmes a preference for high-fat foods in the young adult rat. Br J Nutr 92:513–520

    Article  PubMed  CAS  Google Scholar 

  4. Bellinger L, Sculley DV, Langley-Evans SC (2006) Exposure to undernutrition in fetal life determines fat distribution, locomotor activity and food intake in ageing rats. Int J Obes (Lond) 30:729–738

    Article  CAS  Google Scholar 

  5. Bertram C, Trowern AR, Copin N, Jackson AA, Whorwood CB (2001) The maternal diet during pregnancy programs altered expression of the glucocorticoid receptor and type 2 11beta-hydroxysteroid dehydrogenase: potential molecular mechanisms underlying the programming of hypertension in utero. Endocrinology 142:2841–2853

    Article  PubMed  CAS  Google Scholar 

  6. Bogdarina I, Murphy HC, Burns SP, Clark AJ (2004) Investigation of the role of epigenetic modification of the rat glucokinase gene in fetal programming. Life Sci 74:1407–1415

    Article  PubMed  CAS  Google Scholar 

  7. Brawley L, Torrens C, Anthony FW, Itoh S, Wheeler T, Jackson AA, Clough GF, Poston L, Hanson MA (2004) Glycine rectifies vascular dysfunction induced by dietary protein imbalance during pregnancy. J Physiol 554:497–504

    Article  PubMed  CAS  Google Scholar 

  8. Gambling L, Dunford S, Wallace DI, Zuur G, Solanky N, Srai SK, McArdle HJ (2003) Iron deficiency during pregnancy affects postnatal blood pressure in the rat. J Physiol 552:603–610

    Article  PubMed  CAS  Google Scholar 

  9. Gopalakrishnan GS, Gardner DS, Rhind SM, Rae MT, Kyle CE, Brooks AN, Walker RM, Ramsay MM, Keisler DH, Stephenson T, Symonds ME (2004) Programming of adult cardiovascular function after early maternal undernutrition in sheep. Am J Physiol Regul Integr Comp Physiol 287:R12–R20

    PubMed  CAS  Google Scholar 

  10. Groot PH, van Vlijmen BJ, Benson GM, Hofker MH, Schiffelers R, Vidgeon-Hart M, Havekes LM (1996) Quantitative assessment of aortic atherosclerosis in APOE*3 Leiden transgenic mice and its relationship to serum cholesterol exposure. Arterioscler Thromb Vasc Biol 16:926–933

    PubMed  CAS  Google Scholar 

  11. Huxley R, Neil A, Collins R (2002) Unravelling the fetal origins hypothesis: is there really an inverse association between birthweight and subsequent blood pressure? Lancet 360:659–665

    Article  PubMed  Google Scholar 

  12. Jackson AA, Dunn RL, Marchand MC, Langley-Evans SC (2002) Increased systolic blood pressure in rats induced by a maternal low-protein diet is reversed by dietary supplementation with glycine. Clin Sci (Lond) 103:633–639

    CAS  Google Scholar 

  13. Jones AP, Friedman MI (1982) Obesity and adipocyte abnormalities in offspring of rats undernourished during pregnancy. Science 215:1518–1519

    Article  PubMed  CAS  Google Scholar 

  14. Kalies H, Heinrich J, Borte N, Schaaf B, von Berg A, von Kries R, Wichmann HE, Bolte G (2005) The effect of breastfeeding on weight gain in infants: results of a birth cohort study. Eur J Med Res 10:36–42

    PubMed  CAS  Google Scholar 

  15. Khan IY, Taylor PD, Dekou V, Seed PT, Lakasing L, Graham D, Dominiczak AF, Hanson MA, Poston L (2003) Gender-linked hypertension in offspring of lard-fed pregnant rats. Hypertension 41:168–175

    Article  PubMed  CAS  Google Scholar 

  16. Langley SC, Jackson AA (1994) Increased systolic blood pressure in adult rats induced by fetal exposure to maternal low protein diets. Clin Sci (Lond) 86:217–222; discussion 121

    CAS  Google Scholar 

  17. Langley-Evans AJ, Langley-Evans SC (2003) Relationship between maternal nutrient intakes in early and late pregnancy and infants weight and proportions at birth: prospective cohort study. J R Soc Health 123:210–216

    PubMed  CAS  Google Scholar 

  18. Langley-Evans S (2004) Fetal programming of adult disease: an overview. In: Langley-Evans S (ed) Fetal nutrition and adult disease: programming of chronic disease through fetal exposure to undernutrition. CABI, Wallingford, pp 1–20

    Google Scholar 

  19. Langley-Evans S, Dunn R, Jackson A (1998) Blood pressure changes programmed by exposure to maternal protein restriction are transmitted to a second generation through the germ line. Proc Nutr Soc 57:78A

    Google Scholar 

  20. Langley-Evans SC (1997a) Hypertension induced by foetal exposure to a maternal low-protein diet, in the rat, is prevented by pharmacological blockade of maternal glucocorticoid synthesis. J Hypertens 15:537–544

    Article  PubMed  CAS  Google Scholar 

  21. Langley-Evans SC (1997b) Maternal carbenoxolone treatment lowers birthweight and induces hypertension in the offspring of rats fed a protein-replete diet. Clin Sci (Lond) 93:423–429

    CAS  Google Scholar 

  22. Langley-Evans SC, Phillips GJ, Benediktsson R, Gardner DS, Edwards CR, Jackson AA, Seckl JR (1996) Protein intake in pregnancy, placental glucocorticoid metabolism and the programming of hypertension in the rat. Placenta 17:169–172

    Article  PubMed  CAS  Google Scholar 

  23. Langley-Evans SC, Welham SJ, Jackson AA (1999) Fetal exposure to a maternal low protein diet impairs nephrogenesis and promotes hypertension in the rat. Life Sci 64:965–974

    Article  PubMed  CAS  Google Scholar 

  24. Lillycrop KA, Phillips ES, Jackson AA, Hanson MA, Burdge GC (2005) Dietary protein restriction of pregnant rats induces and folic acid supplementation prevents epigenetic modification of hepatic gene expression in the offspring. J Nutr 135:1382–1386

    PubMed  CAS  Google Scholar 

  25. McMillen IC, Robinson JS (2005) Developmental origins of the metabolic syndrome: prediction, plasticity, and programming. Physiol Rev 85:571–633

    Article  PubMed  CAS  Google Scholar 

  26. McMullen S, Langley-Evans SC (2005) Maternal low-protein diet in rat pregnancy programs blood pressure through sex-specific mechanisms. Am J Physiol Regul Integr Comp Physiol 288:R85–R90

    PubMed  CAS  Google Scholar 

  27. McMullen S, Osgerby JC, Thurston LM, Gadd TS, Wood PJ, Wathes DC, Michael AE (2004) Alterations in placental 11 beta-hydroxysteroid dehydrogenase (11 betaHSD) activities and fetal cortisol:cortisone ratios induced by nutritional restriction prior to conception and at defined stages of gestation in ewes. Reproduction 127:717–725

    Article  PubMed  CAS  Google Scholar 

  28. Newell-Price J, Clark AJ, King P (2000) DNA methylation and silencing of gene expression. Trends Endocrinol Metab 11:142–148

    Article  PubMed  CAS  Google Scholar 

  29. Ozanne SE, Olsen GS, Hansen LL, Tingey KJ, Nave BT, Wang CL, Hartil K, Petry CJ, Buckley AJ, Mosthaf-Seedorf L (2003) Early growth restriction leads to down regulation of protein kinase C zeta and insulin resistance in skeletal muscle. J Endocrinol 177:235–241

    Article  PubMed  CAS  Google Scholar 

  30. Plagemann A, Harder T, Rake A, Melchior K, Rohde W, Dorner G (2000) Hypothalamic nuclei are malformed in weanling offspring of low protein malnourished rat dams. J Nutr 130:2582–2589

    PubMed  CAS  Google Scholar 

  31. 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 99:154–158

    Article  PubMed  CAS  Google Scholar 

  32. Ravelli AC, van Der Meulen JH, Osmond C, Barker DJ, Bleker OP (1999) Obesity at the age of 50 y in men and women exposed to famine prenatally. Am J Clin Nutr 70:811–816

    PubMed  CAS  Google Scholar 

  33. Taylor PD, McConnell J, Khan IY, Holemans K, Lawrence KM, Asare-Anane H, Persaud SJ, Jones PM, Petrie L, Hanson MA, Poston L (2005) Impaired glucose homeostasis and mitochondrial abnormalities in offspring of rats fed a fat-rich diet in pregnancy. Am J Physiol Regul Integr Comp Physiol 288:R134–R139

    PubMed  CAS  Google Scholar 

  34. Vickers MH, Breier BH, Cutfield WS, Hofman PL, Gluckman PD (2000) Fetal origins of hyperphagia, obesity, and hypertension and postnatal amplification by hypercaloric nutrition. Am J Physiol Endocrinol Metab 279:E83–E87

    PubMed  CAS  Google Scholar 

  35. Vickers MH, Breier BH, McCarthy D, Gluckman PD (2003) Sedentary behavior during postnatal life is determined by the prenatal environment and exacerbated by postnatal hypercaloric nutrition. Am J Physiol Regul Integr Comp Physiol 285:R271–R273

    PubMed  CAS  Google Scholar 

  36. Woodall SM, Johnston BM, Breier BH, Gluckman PD (1996) Chronic maternal undernutrition in the rat leads to delayed postnatal growth and elevated blood pressure of offspring. Pediatr Res 40:438–443

    Article  PubMed  CAS  Google Scholar 

  37. Young L, Rees W, Sinclair K (2004) Programming in the pre-implantation embryo. In: Langley-Evans S (ed) Fetal nutrition and adult disease: programming of chronic disease through fetal exposure to undernutrition. CABI, Wallingford, pp 333–352

    Google Scholar 

Download references

Acknowledgments

The author is supported by grants from the British Heart Foundation, Biotechnology and Biological Sciences Research Council and the European Union (EARNEST).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. C. Langley-Evans.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Langley-Evans, S.C. Metabolic programming in pregnancy: studies in animal models. Genes Nutr 2, 33–38 (2007). https://doi.org/10.1007/s12263-007-0005-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12263-007-0005-x

Keywords