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Deutsches Institut für Ernährungsforschung, D-14558, Bergholz-Rehbrücke, Germany
1To whom correspondence should be addressed. E-mail: metges{at}www.dife.de
| ABSTRACT |
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KEY WORDS: fetal programming amino acid homeostasis breast-feeding growth velocity
| INTRODUCTION |
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| Effects of prenatal dietary protein exposure on birth weight in later life |
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Epidemiological investigations have recently examined whether low
protein intake during pregnancy might be a risk factor for women to
give birth to small infants or to have children with metabolic
disturbances in later life. Godfrey et al. (15)
reported
that low protein intake in late pregnancy was associated with lower
placental and birth weights, whereas a prospective study by Mathews et
al. (16)
failed to establish a relationship between
macronutrient intake and birth weight. In that study, vitamin C was the
only nutrient predictive of changes in placental and birth weights.
Interestingly, both studies identified higher birth weights when
protein intake was lowest in early pregnancy (15
,16
;
Fig. 1
). There is insufficient evidence that the intake of isocaloric protein
supplements during pregnancy may result in a decrease or an
insignificant increase in maternal weight gain, a decreased mean birth
weight and an increased risk of small for gestational age births
(17
,18)
.
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52 g/d in early and 63 g/d in late pregnancy
(23)
Studies in animals have now begun to indicate that there is a window
during gestation when the fetus is most susceptible to maternal protein
deficiency. Low protein intake by rat dams during the preimplantation
period only, with dams fed an adequate control diet for the remainder
of gestation, results in a reprogramming of birth weight and postnatal
growth rate and the development of hypertension (24)
.
Conversely, in humans, improving the nutritional status during the
prepregnancy period resulted in higher birth weights and length, but it
is not known which of the various nutrients are involved
(25)
. Studies in pregnant women suggest that
pregnancy-related adaptation in maternal nitrogen metabolism occurs
in the first trimester, before any significant change in fetal nitrogen
accretion (26)
. The earliest recorded nutritional
information in the human studies by Mathews et al. (16)
was a median of 16.3 wk and for the study by Godfrey et al.
(15)
was a median of 15.3 wk. Currently it is unclear how
relevant these selected time points are for the outcomes studied.
| Effects of high dietary protein intake during early childhood on development of later adiposity |
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Plasma amino acid and blood urea concentrations have been used to
assess the adequacy of protein intake and dietary amino acid patterns
of formula-fed infants. The plasma amino acid pattern of the
breast-fed infant is assumed to be the gold standard for this
comparison. Mature milk (> 10 d postpartum) contains between 8
and 12 g/L true protein (39
,40)
or 1.6 ± 0.19 g
protein/0.42 MJ (100 kcal; 41
). Although it is practically
impossible to produce a formula that matches exactly the amino acid
pattern and absorption kinetics of human milk protein, studies indicate
that feeding formulas (13 g/L true protein) containing predominantly
whey as the protein source results in a plasma aminogram that is
similar to that of breast-fed infants (42
,43)
.
Infants receiving formula food consume 66%70% more protein compared
with breast-fed infants (44)
. This fact may explain
why breast-fed infants are leaner than are formula-fed infants
at 1 y of age (45)
. However, it cannot be excluded
that differences in energy intake or other confounding factors play a
role in the development of adiposity in infants (5
,44
,45)
.
By contrast, a longitudinal investigation in children did not indicate
that total energy intake at 12 wk of age is a major determinant of body
fatness at 23.5 y (46)
. Infants ages 8 to 111 d old
and fed a formula with a protein:energy ratio of 5.11 g/MJ (2.13 g/100
kcal) showed similar gain in length but a tendency for higher body
weight gains than those observed in a formula-fed group receiving
3.732.99 g/MJ (1.561.25 g/100 kcal) (47)
. Body mass
index was significantly higher in infants fed a formula containing 4
g/MJ (1.7 g/100 kcal) compared with a breast-fed reference group,
suggesting more fat accumulation in infants fed this formula
(48)
. Infants 46 mo of age had a significantly higher
body weight gain when receiving a formula containing 18 g
protein/L compared with an isocaloric formula containing 13 g
protein/L; body fat mass was not reported (49)
. In a
recent German study, an inverse relationship between duration of
breast-feeding and the prevalence of being overweight or obese at
56 y of age was observed (50)
. In children who had been
breast-fed for at least 6 mo or more and very likely consumed less
protein than those who had been formula fed, the risk of being
overweight or obese were reduced by > 30% and > 40%,
respectively (50)
. Similar results have been reported by
Scagliono et al. (21)
. This is in line with an
earlier study suggesting a protective effect of breast-feeding
against obesity at 12 to 18 y of age (51)
. The gross
efficiency of dietary nitrogen utilization for lean body mass
deposition was almost 50% lower in formula-fed than in
breast-fed infants, despite significantly higher nitrogen and
energy intakes of the formula-fed group (52)
. In
addition to protein, other nutrients, or even nonnutrient factors,
cannot be excluded as possible effectors of body fat mass in
breast-fed versus formula-fed infants. In any event, although
mechanisms are still obscure, it would be worthwhile to explore the
possible effects of dietary protein intake on the development of later
obesity.
In this context it is interesting to note that formulas for low
birth weight infants (protein 1620 g/L; 5.37.7 g protein/MJ)
contain approximately twice the protein content of breast milk. In
various studies, associations between protein intake and growth
velocity and weight gain have been reported (47
,49
,53)
. It
might be suggested that people who are small in early life and then
grow rapidly are more at risk for metabolic syndrome or obesity than
those who remain small. Results from the Avon longitudinal
study of pregnancy and childhood (ALSPAC) indicate that children who
showed catch-up growth between birth and 2 y of age had lower
weight, length and ponderal index at birth but were heavier, taller and
fatter at 5 y of age compared with other children
(54)
. In a Finnish study, the highest death rates from
coronary heart disease occurred in boys who were thin at birth but who
also showed increased catch-up growth until age 11 y, so that
they had an above average body mass (55)
. It is likely
that those who where thin at birth received compensatory feeding, i.e.,
additional energy and/or protein, to support catch-up growth or to
increase growth velocity. Thus, it is important to consider whether
growth velocity may be a relevant influence in the causal pathway of
obesity as suggested recently for fetal programming of metabolic
disease (7)
.
The biological mechanisms responsible for a potential
relationship between early life dietary protein intake and obesity may
be linked to glucose metabolism. It has been shown in formula-fed
infants and adults that high protein intakes are associated with a
higher insulin secretion and a higher hepatic glucose output
(49
,56
57
58)
. By contrast, in experimental animals, protein
restriction during fetal life is followed by an impairment of ß-cell
mass development predisposing them to glucose intolerance in later life
(59
,60)
. Insulin-like growth factor
(IGF)2
binding proteins and circulating IGF-I levels are regulated by
dietary protein intake (61
62
63)
. Dietary protein increased
IGF-I expression in pig adipose tissue (64)
. Insulin
and IGF-I are required for differentiation of preadipocytes and
inducing adipogenesis (65)
. In contrast, low amino acid
concentrations induce IGF binding protein-1 expression and participate
in the down-regulation of growth (66)
. In this
context, it is relevant that decreased versus adequate as well as
increased versus adequate dietary protein intakes lead to
characteristic decreases of certain circulating dispensable and
indispensable amino acid concentrations (63
,67
,68)
. In
regard to effects of dietary protein on fetal growth, it is interesting
to note that certain placental amino acid transporters are
down-regulated by maternal protein deprivation (69)
.
In summary, despite numerous reports of studies in animals, there is still no conclusive evidence from human studies that low protein intake during gestation leads to low birth weight and subsequent metabolic disturbances in early childhood or adulthood. Currently there is also only weak epidemiological evidence supporting a link between high protein intake during early childhood and the development of obesity in adults. Unfortunately, it is often difficult to interpret much of the epidemiological evidence in humans due to the inability to control many influential factors, most importantly, the accuracy of reporting of dietary intakes and habits. Eating habits can change dramatically throughout pregnancy and this makes it necessary to record nutrient intake and anthropometric parameters at more than two time points during pregnancy, and, if possible, before conception. One proven method of validating protein intake is the use of 24-h urine collections and the control of confounding factors must be appropriately considered. Especially, subgroups who fail to meet or largely exceed current dietary protein recommendations should be identified. In addition, intervention studies in animals can support or question epidemiological results. Particularly, the question whether dietary protein intake pre- and postweaning affects body fatness needs to be addressed in well-designed and controlled animal studies. Also, possible interactions between birth weight, growth velocity and fetal and postnatal protein nutrition deserve attention. Should a link between dietary protein and adiposity be experimentally confirmed, the next step would be to uncover the underlying mechanisms, such as protein-related alterations of energy expenditure, influences on hormones and growth factors and adipose tissue metabolism in response to perturbations of amino acid homeostasis brought about by amino acid regulation of gene expression.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Manuscript received December 1, 2000. Initial review completed April 16, 2001. Revision accepted April 16, 2001.
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