Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-24T05:58:51.480Z Has data issue: false hasContentIssue false

Effect of dietary protein on plasma insulin-like growth factor-1, growth, and body composition in healthy term infants: a randomised, double-blind, controlled trial (Early Protein and Obesity in Childhood (EPOCH) study)

Published online by Cambridge University Press:  20 November 2015

Guy Putet
Affiliation:
Service de Neonatologie, Hopital de la Croix-Rousse, Hospices Civils de Lyon, F-69004 Lyon, France Universite Claude Bernard Lyon1, F-69100 Villeurbanne, France
Jean-Marc Labaune
Affiliation:
Service de Neonatologie, Hopital de la Croix-Rousse, Hospices Civils de Lyon, F-69004 Lyon, France
Katherine Mace
Affiliation:
Nestec, 55 Avenue Nestlé, Vevey, Switzerland
Philippe Steenhout
Affiliation:
Nestec, 55 Avenue Nestlé, Vevey, Switzerland
Dominik Grathwohl
Affiliation:
Nestec, 55 Avenue Nestlé, Vevey, Switzerland
Veronique Raverot
Affiliation:
Laboratoire d’hormonologie et Endocrinologie Moléculaire, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, 69677 Bron, France
Yves Morel
Affiliation:
Laboratoire d’hormonologie et Endocrinologie Moléculaire, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, 69677 Bron, France
Jean-Charles Picaud*
Affiliation:
Service de Neonatologie, Hopital de la Croix-Rousse, Hospices Civils de Lyon, F-69004 Lyon, France Universite Claude Bernard Lyon1, F-69100 Villeurbanne, France Rhone-Alpes Human Nutrition Research Center, Hopital Lyon Sud, F-69310 Pierre-Benite, France
*
*Corresponding author: J.-C. Picaud, fax +33 4 7207 2938, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

The effect of protein intake on growth velocity in infancy may be mediated by insulin-like growth factor-1 (IGF-1). This study aimed to determine the effects of formulae containing 1·8 (F1·8) or 2·7 g (F2·7) protein/418·4 kJ (100 kcal) on IGF-1 concentrations and growth. Healthy term infants were randomly assigned to receive F1·8 (n 74) or F2·7 (n 80) exclusively for the first 4 months of life. A group of breast-fed infants (n 84) was followed-up simultaneously (reference). Growth and body composition were measured at 0·5, 4, 6, 12, 36, 48 and 60 months of life. The IGF-1 concentrations at 4 months (primary outcome) were similar in the F1·8 (67·1 (sd 20·8) ng/l; n 70) and F2·7 (71·2 (sd 27·5) ng/l; n 73) groups (P=0·52). Both formula groups had higher IGF-1 concentrations than the breast-fed group at 4 and 9 months of age (P≤0·0001). During the first 60 months of life, anthropometric parameters in the F1·8 group were lower compared with the F2·7 group, and the differences were significant for head circumference from 2 to 60 months, body weight at 4 and 6 months and length at 9, 12 and 36 months of age. There were no significant differences in body composition between these two groups at any age. We conclude that, in formula-fed infants, although increased protein intake did not affect the IGF-1 concentration during the first 12 months of life, it did affect length and head circumference growth, suggesting that factors other than IGF-1 could play roles in determining growth velocity.

Type
Full Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Authors 2015

The prevalence of obesity has now reached epidemic proportions, and prevention rather than treatment holds the best promise for curbing this phenomenon. Recent studies have shown that rapid weight gain during infancy is closely associated with subsequent risks of overweight and obesity( Reference Baird, Fisher and Lucas 1 Reference Druet, Stettler and Sharp 5 ). Thus, early growth may be a key target for intervention.

The factors leading to rapid weight gain during infancy are not well understood. Studies comparing growth rates (primarily weight gain) in infants fed formula or complementary foods and those fed breast milk have suggested a positive association between high protein intake and rapid growth rate during infancy( Reference Heinig, Nommsen and Peerson 6 , Reference Nielsen, Thomsen and Michaelsen 7 ). These observations are consistent with several studies showing higher growth rates (weight and length gains) in infants fed standard-protein formulae (2·3–2·5 g protein/418·4 kJ (100 kcal)) compared with those fed low-protein formulae (1·8–1·9 g protein/418·4 kJ (100 kcal))( Reference Axelsson, Ivarsson and Raiha 8 , Reference Raiha, Minoli and Moro 9 ), where the protein concentrations of the low-protein formulae were closer to that of mature human milk (about 1·5 g protein/418·4 kJ (100 kcal)). Furthermore, a recent large randomised trial showed that infants fed high-protein infant formula (2·9 g protein/418·4 kJ (100 kcal)) and follow-on formula (4·4 g protein/418·4 kJ (100 kcal)) during their 1st year of life had significantly higher weight and weight-for-length Z-scores (relative to the WHO standards) compared with infants fed low-protein infant formula (1·8 g protein/418·4 kJ (100 kcal)) and follow-on formula (2·2 g protein/418·4 kJ (100 kcal))( Reference Koletzko, von Kries and Closa 10 ). In contrast, an earlier study showed no differences in weight, length or head circumference between infants fed standard-protein (2·7 g protein/418·4 kJ (100 kcal)) or low-protein formulae (1·9 g protein/418·4 kJ (100 kcal)) during the 1st year of life( Reference Akeson, Axelsson and Raiha 11 ). Part of the inconsistency in the growth data from different studies may reflect differences in the formula protein concentrations, the period during which protein intake was evaluated (early or late infancy or childhood) and/or the timing of growth measurements. Furthermore, growth data are difficult to compare between studies, as they are often presented in absolute values instead of Z-scores adjusted for age and sex.

The effect of protein intake during infancy on obesity later in life is even more equivocal. Both the presence( Reference Gunnarsdottir and Thorsdottir 12 Reference Scaglioni, Agostoni and Notaris 14 ) and absence( Reference Dorosty, Emmett and Cowin 15 , Reference Hoppe, Molgaard and Thomsen 16 ) of a relationship between high protein intake during infancy and early childhood and later obesity development have been reported. However, these conclusions were based on observational studies that primarily measured protein intake during late infancy and early childhood – that is, during 9−24 months of age – and randomised trials are still lacking.

The mechanisms by which growth patterns in infancy may affect obesity risks later in life are not well established. The observation that formula-fed infants generally tend to have greater body mass and a higher risk of being obese later in life than breast-fed infants has given rise to the ‘early protein hypothesis’. According to this hypothesis, high protein intake early in life causes enhanced growth by stimulating insulin and insulin-like growth factor-1 (IGF-1) production( Reference Koletzko, Broekaert and Demmelmair 17 , Reference Koletzko, von Kries and Closa 18 ). In addition to promoting growth, increases in these hormones have been reported to stimulate adipogenic activity and adipocyte differentiation( Reference Koletzko, von Kries and Closa 18 ), thereby increasing susceptibility to overweight and obesity at a later age. However, to date, a few studies have evaluated the effects of formulae that differ only in their protein content on IGF-1 concentration in infants.

In the Early Protein and Obesity in Childhood (EPOCH) study, our primary objective was to compare the IGF-1 concentrations at 4 months of age in infants exclusively fed low-protein (1·8 g protein/418·4 kJ (100 kcal)) or standard-protein (2·7 g protein/418·4 kJ (100 kcal)) formulae or breast milk (reference group) from birth up to 4 months of age. We hypothesised that infants fed formula with protein content close to that of breast milk would have IGF-1 concentrations similar to those of breast-fed infants and lower than those of infants fed a standard-protein formula. The secondary objectives were to determine the plasma or serum hormone (insulin, C-peptide) and glucose concentrations as well as to assess growth and body composition during the first 60 months of life in all groups of infants.

Methods

Study design

The EPOCH study was a randomised, double-blind, parallel-group, controlled, single-centre study comparing two groups of infants fed formula with a low or high protein content for the 1st year of life. An observational group of breast-fed infants was included from the Hôpital de la Croix-Rousse in Lyon, France, during the same period. The study was performed in accordance with the Helsinki Declaration and current good clinical practices guidelines. Both parents provided written informed consent before their infants were enrolled in the study. The study was approved by the ethics committee of Lyon (Comité Consultatif de Protection des Personnes dans la Recherche Biomédicale Lyon A).

Study participants

Infants were recruited from the study site from mothers who had chosen to exclusively feed their infants formula or breast milk from birth until 4 months of age. The inclusion criteria included being full term (gestational age of 37−42 weeks), healthy, <7 d of age at the time of enrolment, between 2500 and 4200 g at birth, singleton birth and being born to a mother with a normal BMI (20−25 kg/m2) at the start of pregnancy and without a history of type 1 or type 2 diabetes. The exclusion criteria were having a mother with the following characteristics: gestational diabetes, smoking >5 cigarettes/d, drug dependency or infectious disease during pregnancy. Infants whose mothers/caregivers were not expected to comply with the study requirements or infants who were already participating in a different clinical study were also excluded.

Study formulae

The study formulae were isoenergetic (285 kJ/100 ml (68 kcal/100 ml)), predominantly whey-based (70 % whey, 30 % casein) and contained sufficient quantities of carbohydrates, proteins, fats, vitamins and minerals to support the normal growth of term infants. The two study formulae had identical nutritional composition, except for protein and lactose concentrations: the low-protein formula (F1·8) contained 1·8 g protein/418·4 kJ (100 kcal), and the standard-protein formula (F2·7) contained 2·7 g protein/418·4 kJ (100 kcal). These protein concentrations were within the range of the European legal standards for infant formulae (1·8–3·0 g/418·4 kJ (100 kcal)) and for follow-on formulae (1·8–3·5 g/418·4 kJ (100 kcal))( 19 ). The F1·8 and F2·7 also corresponded to the lower and upper limits, respectively, of protein content in the follow-on formulae available in France. The lactose content in the formulae was adjusted to keep the same energy density in both formulae (F1·8: 11·2 g lactose/418·4 kJ (100 kcal) and F2·7: 10·4 g lactose/418·4 kJ (100 kcal)). The study sponsor manufactured, coded and blinded the formulae using four-letter codes. Neither the investigator and support staff nor the infants’ mothers/caregivers were aware of the identity of the formulae. Unblinding occurred after the statistical analyses of the primary and secondary outcomes were completed.

Study procedure

The infants were stratified by sex and socio-cultural status (mother’s education level and ethnicity) and randomly allocated to the two formula-fed groups. Randomisation was performed using computer-generated randomisation sequences (SAS Institute) using a block design with block sizes of 8. Allocation concealment was performed by placing randomisation numbers in sealed, sequentially numbered envelopes.

The formula-fed infants were randomly assigned to receive F1·8 or F2·7. The demographic characteristics of all infants and their mothers (in both the formula-fed and breast-fed groups) and the following baseline characteristics of infants were recorded upon enrolment: sex; gestational age; delivery mode; weight, length and head circumference at birth; and medical history. The mothers’ BMI before pregnancy, weight gain and smoking status during pregnancy and general health status were also recorded.

The infants were exclusively fed their assigned formulae for 4 months starting at enrolment (i.e. at <7 d of age). Infants were excluded from the study if they were fed a formula other than the one they were assigned for >7 consecutive d during the first 4 months of life. They could start complementary feeding at 4 months but they had to maintain intake of their assigned formula (F1·8 or F2·7) as their follow-on formula until 12 months of age. Breast-fed infants had to be exclusively breast-fed for 3 months of age. At the mothers’ discretion, the breast-fed infants could be fed up to 200 ml/d of F1·8 during the 4th month. They could start complementary feeding at 4 months of age, but were instructed to use the F1·8 formula as a follow-on formula, if needed, until 12 months of age.

For the first 4 months, the parents/caregivers recorded the volume of daily formula intake of the formula-fed infants. For the breast-fed infants, any daily supplementary formula (F1·8) intake between 3 and 4 months was recorded. After 4 months, the volume of formula and amount of solid food intake of all infants were recorded during the 3 d before each visit and the compliance with the study formulae was assessed and recorded at each visit. The protein and energy intakes were estimated using a computer programme (Genesis R&D software; Esha Research) by a nutritionist.

Visits to the study centre took place at the age of 2 weeks (±2 d) and at 2, 4, 6, 9, 12, 36, 48 and 60 months (±1 week). At each visit, the investigator recorded the anthropometric measurements, reviewed the records of formula intake and evaluated the occurrence of adverse events (AE) and intake of any concomitant medications. Body composition was measured at 2 weeks and at 4, 6, 12, 36 and 60 months of age. Blood samples were drawn at 2 weeks, 4 months and 9 months of age. Blood hormone concentrations were measured at all these time points.

At 2 weeks and 4 months of age, the infants were fed at the study site for 10−15 min, and blood samples were collected 45 min after the start of feeding. If there was a delay of ≥60 min after starting feeding, blood samples were not collected. At 9 months of age, blood sampling was performed approximately 2 h after the last meal. The exact time of feeding and blood collection were recorded for each infant and used to ensure similar timing of feeding and blood sample collections across visits and infants. The infants’ weights before and after feeding were also recorded, in order to ascertain that a substantial amount of milk was ingested before measuring postprandial insulin concentrations.

Outcome measures

The primary outcome measurement was the plasma IGF-1 concentration at 4 months, as it was the end of exclusive feeding with the study products, with weaning being allowed after 4 months of age. Secondary outcome measurements included the IGF-1 concentrations at 2 weeks and 9 months of age; postprandial insulin, C-peptide, IGF-binding protein (IGFBP)-2, IGFBP-3 and glucose concentrations at 2 weeks, 4 months and 9 months of age; weight, length and head circumference measurements at 2 weeks and 4, 6, 9, 12, 36, 48 and 60 months of age; and body composition measurements at 2 weeks and 4, 6, 12, 36 and 60 months of age.

For blood glucose concentrations, the analysis was performed on-site and immediately after sampling using standard laboratory methods. For IGF-1 analysis, 1 ml of blood was collected in EDTA-containing tubes and centrifuged at 4°C, and plasma aliquots were stored at −80°C until further analysis. For measurement of insulin, C-peptide, IGFBP-2 and IGFBP-3 concentrations, 1 ml of blood was collected in dry tubes and centrifuged at 4°C, and the serum was stored at −80°C. The IGF-1 and insulin concentrations were measured by immunoassay (IGF-1-RIACT and BI-INS-IRMA, respectively; Cis Bio International). Immunoradiometric assays were used to determine the concentrations of IGFBP-2 (DSL-7100; Diagnostic Systems Laboratories Inc.), IGFBP-3 (IM1992; Immunotech) and C-peptide (IM3639; Immunotech). The within/between assay precisions were, respectively, <3·8/<8 % for insulin, <3·1/<5·2 % for C-peptide, <3·4/<8·2 % for IGF-1, <5·6/<8·2 % for IGFBP-2 and <8·5/<7·4 % for IGFBP-3.

The infants’ weight, length and head circumference were measured as described previously( Reference Chouraqui, Grathwohl and Labaune 20 ). The body composition of infants who were 6-months old or younger was measured by air-displacement plethysmography using the PEA POD system (Life Measurements Inc.). At 12, 36 and 60 months of age, the infants’ body composition was measured by dual energy X-ray absorptiometry (DEXA, Hologic 4500; Stephanix). Both fat and lean mass measurements were recorded. The quality of the DEXA scans was assessed as previously recommended( Reference Koo, Walters and Bush 21 ). The skinfold thickness (triceps, biceps, sub-scapular and abdominal) and mid-arm circumference were measured at 36, 48 and 60 months of age.

Adverse events

AE were defined as illnesses or signs or symptoms (including abnormal laboratory findings) occurring or worsening during the course of the study. A serious AE (SAE) was any AE that was fatal or life-threatening, caused permanent harm, required or extended in-patient treatment at a hospital or that was considered medically relevant by the physician. The occurrence of AE and SAE was based on interviews with the parents or caregivers. The investigator assessed all AE for seriousness, causality and relation to the study formulae. All AE, whether or not they required medical intervention, were recorded and coded using the WHO Adverse Reaction Terminology version 07.4.

Sample size

The primary outcome was the IGF-1 concentration at 4 months of age. Sample size calculation was based on detecting a 26 % difference in IGF-1 concentrations between the two formula-fed groups. A previous study showed an sd of 37·8 μg/l for IGF-1 concentrations at 4 months of age in infants who were fed F2·7 and F1·8( Reference Macé, Steenhout and Klassen 22 ). At a two-sided significance level of 5 % and a power of 90 %, sixty-four infants per group were required to detect a difference. Assuming a 20 % rate of dropouts and missing data, seventy-seven infants had to be included in each group to attain the required power. The dropout rate in the breast-fed group was expected to be higher than that in the formula-fed groups due to reduced compliance to exclusive breast-feeding for 3 months. Assuming a 30 % dropout/non-compliance rate, eighty-four infants thus had to be enrolled in the breast-fed group.

Statistical methods

Data from all randomised infants who had any intake of the study formulae and all breast-fed infants in the reference group were included in the intention-to-treat (ITT) analysis. The per-protocol (PP) analysis excluded data from infants with major protocol deviations or who had missing primary outcome data. In some instances, measurements could not be made in all infants, and the ITT numbers are therefore lower than those at inclusion.

In order to investigate whether socio-economic factors may influence the loss to follow-up, we performed a time-to-event analysis. The event of interest was the last visit seen before follow-up loss, with infants seen at 5 years considered as censored. We calculated the time to the last visit seen (days) and performed Cox-proportional hazard analysis with the treatment group (breast-fed, F2·7, F1·8), ethnicity (northern European or not), education (as outlined in Table 1) and smoking during pregnancy (yes/no) as covariates.

Table 1 Demographics and baseline characteristics of infants fed low-protein or standard-protein formulae (F1·8 or F2·7) or breast milk, intention-to-treat (Mean values and standard deviations; numbers and percentages)

F1·8, low-protein formula (1·8 g/418·4 kJ (100 kcal)); F2·7, standard-protein formula (2·7 g/418·4 kJ (100 kcal)).

The primary outcome measurement was the plasma IGF-1 concentration at 4 months. A hierarchical test procedure on the comparison between F1·8 v. F2·7 and F1·8 and breast-feeding was applied. Thus, these two hypotheses were controlled for by multiple testing on a 5 % level. All other outcomes and comparisons were considered as secondary and were not controlled for by multiple testing. We followed the ICH E9 guideline, Statistical Principles for Clinical Trials and interpreted small P values on secondary outcomes as a ‘flagging device’, indicating interesting results.

All outcome measures were compared between the groups by ANCOVA using the type of formula intake as the explanatory variable and controlling for sex, socio-cultural status and ethnicity as covariates. The hormone and glucose concentrations were log transformed in order to achieve approximately normally distributed residuals; the results are presented as ratios with 95 % CI. In addition, the growth parameters were also compared with the World Health Organization( 23 ) child growth standards. All the statistical analyses were performed using SAS version 9.2 (SAS Institute).

Results

Study population

Between June 2006 and October 2007, 238 infants were enrolled in the EPOCH study and were included in the ITT analysis set (n 74 in the F1·8 group, n 80 in the F2·7 group and n 84 in the breast-fed group) (Fig. 1). Data from thirty infants were excluded from the ITT analysis, owing to dropout from the study or difficulty obtaining IGF-1 measurements at 4 months of age (Fig. 1); none of these infants had IGF-1 measurements. Thus, the results of the primary outcome from the PP analysis were similar to that of the ITT analysis, and only the ITT analyses are presented in this report.

Fig. 1 Infants’ participation throughout the randomised, double-blind study of infant formula. F1·8, low-protein formula (1·8 g/418·4 kJ (100 kcal)); F2·7, standard-protein formula (2·7 g/418·4 kJ (100 kcal)); IGF-1, insulin-like growth factor-1.

The groups were comparable with respect to the infants’ and mothers’ anthropometric characteristics at baseline (Table 1). The socio-cultural status was different between the formula-fed and breast-fed groups, but not between the two formula-fed groups (Table 1). Eight mothers smoked during pregnancy, all of whom were in the formula-fed groups.

Plasma hormone profile

The measurements of plasma IGF-1 concentrations, taken at 0·5 months and 4 and 9 months of age, were not significantly different between the formula-fed groups (Table 2). In the breast-fed group, the mean IGF-1 concentration was lower compared with the two formula-fed groups at 4 and 9 months of age. The IGFBP-3 concentrations were not different between the formula-fed groups at any time point. However, at 4 months of age, the IGFBP-3 concentrations were lower in the breast-fed than in the formula-fed groups, and these differences persisted at 9 months of age. The IGFBP-2 concentrations were significantly higher in the F1·8 than in the F2·7 group only at 4 months of age. In the breast-fed group, the IGFBP-2 concentration was higher compared with both formula-fed groups at 4 months, but only remained significantly higher compared with the F2·7 group at 9 months of age.

Table 2 Insulin-like growth factor-1 (IGF-l), IGF-binding protein (IGFBP)-2 and IGFBP-3 serum concentrations at 0·5 months, 4 and 9 months of age in infants fed the study formulae (F1·8 or F2·7) or breast milk, intention-to-treatFootnote (Numbers; medians and interquartile ranges (IQR))

F1·8, low-protein formula (1·8 g/418·4 kJ (100 kcal)); F2·7, standard-protein formula (2·7 g/418·4 kJ (100 kcal)).

* Significantly different from F1·8 (P<0·05).

Significantly different from F2·7 (P<0·05).

Inferential statistics by ANCOVA, correcting for sex, ethnicity and socio-cultural status.

The postprandial insulin and C-peptide concentrations were similar between the formula-fed groups at 0·5 months and 4 and 9 months of age, but were lower in the breast-fed infants at 2 weeks and 4 months of age (Table 3). There were no differences in glucose concentrations between the formula-fed groups at any time point, and the mean glucose concentration was slightly higher in the breast-fed group compared with the formula-fed groups only at 9 months of age.

Table 3 Insulin, C-peptide and glucose serum concentrations at 0·5 months, 4 and 9 months of age in infants fed the study formulae (F1·8 or F2·7) or breast milk, intention-to-treatFootnote (Numbers; medians and interquartile ranges (IQR))

F1·8, low-protein formula (1·8 g/418·4 kJ (100 kcal)); F2·7, standard-protein formula (2·7 g/418·4 kJ (100 kcal)).

* Significantly different from F1·8 (P<0·05).

Significantly different from F2·7 (P<0·05).

Inferential statistics by ANCOVA, correcting for sex, ethnicity and socio-cultural status.

Nutrient intake

The volume intakes are presented in Table 4. The mean protein intake was increased by 50–60 % in infants fed F2·7 when compared with F1·8 during the first 6 months of life (Fig. 2). There was also a slightly higher (+6−10 %) mean energy intake in the F2·7 group between 2 and 6 months of age (Fig. 2). This difference remained between 2 and 4 months of age only when the energy intake was expressed per kg body weight. After 6 months of age, and the introduction of complementary feeding, there were no differences in protein and energy intake. The breast-fed group was weaned at 170 (sd 43) d.

Fig. 2 Daily protein (a) and energy (b) intakes between 0·5 and 1 month (A), 1 and 2 months (B), 2 and 3 months (C), 3 and 4 months (D) and at 6 months (E), 9 months (F) and 12 months of age (G) in infants fed low-protein (F1·8, ) or standard-protein (F2·7, ) formula. Values are means, with standard deviations represented by vertical bars. * Significant difference between feeding groups (P<0·05). To convert kcal/d to kJ/d, multiply by 4·184.

Table 4 Volume intakes (ml/d) of infants fed the study formulae (F1·8 or F2·7), intention-to-treatFootnote (Numbers; mean values and standard deviations)

F1·8, low-protein formula (1·8 g/418·4 kJ (100 kcal)); F2·7, standard-protein formula (2·7 g/418·4 kJ (100 kcal)).

* Significantly different from F1·8 (P<0·05).

Inferential statistics by ANCOVA, correcting for sex.

Growth parameters

There were no significant differences between the formula-fed groups in any of the growth measurements (weight, length, head circumference and BMI) at 0·5 months (Table 5). During the first 60 months of life, all anthropometric parameters in the F1·8 group were lower than those in the F2·7 group, and these differences were statistically significant for head circumference from 2 to 60 months, for body weight at 4 and 6 months and for length at 9, 12 and 36 months of age. There were significant differences in the Z-scores between the two formula-fed groups for body weight at 6 and 36 months, for length from 6 to 36 months and for head circumference from 2 to 60 months of age (Fig. 3).

Fig. 3 Weight-for-age (a), length-for-age (b) and head circumference-for-age (c) Z-scores during the first 60 months of life in infants fed a low-protein (F1·8, ) or standard-protein formula (F2·7, ). Values are means, with standard deviations represented by vertical bars. Upper and lower dotted lines indicate +2 sd and −2 sd of the reference group of breast-fed infants, respectively. * Significant difference between the two groups of formula-fed infants (P<0·05). † Significant difference between infants fed F1·8 and breast-fed infants (P<0·05). ‡ Significant difference between infants fed F2·7 and breast-fed infants (P<0·05).

Table 5 Anthropometric measurements between 0·5 and 60 months of age in infants fed the study formulae (F1·8 or F2·7) or breast milk, intention-to-treatFootnote (Mean values and standard deviations; numbers)

F1·8, low-protein formula (1·8 g/418·4 kJ (100 kcal)); F2·7, standard-protein formula (2·7 g/418·4 kJ (100 kcal)); HC, head circumference.

* Significantly different from F1·8 (P<0·05).

Significantly different from F2·7 (P<0·05).

Inferential statistics by ANCOVA correcting for sex, ethnicity and socio-cultural status.

The comparisons of the anthropometric parameters and Z-scores between the formula-fed and breast-fed infants are presented in Table 5 and Fig. 3.

Body composition

The fat mass and fat-free mass (percentage of body weight), as assessed by DEXA and the PEA POD system, were similar in the formula-fed groups during the first 60 months of life (Table 6). When compared with breast-fed infants, infants fed F1·8 exhibited a significantly higher fat mass and lower fat-free mass at 0·5 and 4 months of age. There were no differences in skinfold thickness and mid-arm circumference between the feeding groups (data not shown).

Table 6 Fat mass and fat-free mass between 0·5 and 60 months of age in infants fed the study formulae (F1·8 or F2·7) or breast milk, intention-to-treatFootnote (Mean values and standard deviations; numbers)

F1·8, low-protein formula (1·8 g/418·4 kJ (100 kcal)); F2·7, standard-protein formula (2·7 g/418·4 kJ (100 kcal)); BW, body weight.

* Significantly different from F1·8 (P<0·05).

Inferential statistics by ANCOVA correcting for baseline status and sex.

Assessed by PEA POD.

§ Assessed by dual energy X-ray absorptiometry.

Adverse events

A total of 753 AE were reported in 206 infants during the study. More infants in the F2·7 group (n 76, 95·0 %) had an AE compared with infants in the F1·8 (n 66, 89·1 %) or breast-fed (n 64, 76·1 %) groups. In all, eleven AE were rated as ‘probably’ or ‘certainly’ related to the study product. These included one case of eczema with respect to F2·7, one case of dyspepsia with respect to F1·8 and 1, 2, 1, 1 and 4 cases of eczema, allergy, rash erythematous, abdominal pain and weight decrease, respectively, related to human milk consumption.

In total, twenty-three SAE were reported in twenty-two infants (Table 7). Only one SAE (urticaria) in the breast-fed group was considered as formula related. One infant in the breast-fed group was withdrawn due to an SAE (fever) 10 d after birth, and three others dropped out during the follow-up period (between 6 and 12 months).

Table 7 Infants with serious adverse events, intention-to-treat (Numbers and percentages)

F1·8, low-protein formula (1·8 g/418·4 kJ (100 kcal)); F2·7, standard-protein formula (2·7 g/418·4 kJ (100 kcal)).

* One infant had two serious adverse events.

Considered related to the study formula.

Discussion

In a population of healthy term infants, we did not observe any impact of protein intake on the plasma hormone profile (IGF-1, insulin and C-peptide concentrations) during the first 12 months of life. In infants fed the low-protein formula, growth during the first 60 months of life was lower than that in infants fed the standard-protein formula; however, the mean values for body weight, length and head circumference were within the normal WHO ranges for growth in both groups of formula-fed infants. As expected, we observed a significantly lower protein intake in infants fed the F1·8 v. F2·7 formula. Interestingly, although the two study formulae were isoenergetic, we also observed an unexpected higher energy intake during the first 6 months of life in the F2·7 group than in the F1·8 group. Such an increase in energy intake may be related to a higher overall volume of formula intake, as previously reported by Fleddermann et al.( Reference Fleddermann, Demmelmair and Grote 24 ) in infants fed a standard-protein formula (2·2 g/418·4 kJ (100 kcal)) when compared with a low-protein formula (1·89 g/418·4 kJ (100 kcal)). They reported that, although the volume intake per meal was not different, the higher intake in the high-protein group could be explained by a higher meal frequency as a result of lower satiety. Although dietary proteins have been shown to be the most satiating macronutrient in adults, little is known on their impact on satiety in infants, and this warrants further exploration. Nevertheless, it should be noted that the observed difference in energy intake in the present study was lower when adjusted to per kg body weight.

Except for one study published recently( Reference Socha, Grote and Gruszfeld 25 ), the majority of studies that have examined the correlation between protein intake and IGF-1 concentrations in infants were performed comparing formula-fed and either breast-fed infants or infants fed cow milk( Reference Ong, Langkamp and Ranke 26 Reference Madsen, Larnkjær and Mølgaard 30 ). Thus, linking any differences in IGF-1 concentrations in infants fed these diets solely to their protein concentrations may be difficult. On the other hand, in the EPOCH study, the formulae differed in protein concentration only. Our results revealed no significant differences in plasma IGF-1 concentrations between infants exclusively fed F1·8 or F2·7 formula. This is in contrast with the positive associations between IGF-1 concentration and both energy and protein intakes in infants reported previously( Reference Savino, Nanni and Maccario 28 , Reference Diaz-Gomez, Domenech and Barroso 31 ). Socha et al., in a similarly designed study, reported a significantly higher mean IGF-1 concentration at 6 months of age in infants fed a high-protein formula (2·9 g/418·4 kJ (100 kcal)) than in infants fed a low-protein formula (1·77 g/418·4 kJ (100 kcal)) during the first 4 months of age( Reference Larnkjaer, Hoppe and Molgaard 27 ). In that study, as in the EPOCH study, both formula-fed groups had higher IGF-1 concentrations than the exclusively breast-fed infants after 4 months.

Several differences in study designs may explain the discrepancies between the EPOCH and previous studies – for example, in the Childhood Obesity Project Study Group (CHOP) study( Reference Koletzko, von Kries and Closa 10 ), the enrolment of infants was performed later than that in the EPOCH study (median, 14 v. 3 d), and some infants received breast milk for a few weeks, which may have had a significant metabolic impact. The significantly higher postprandial insulin and C-peptide concentrations in formula-fed infants than in breast-fed infants at 0·5 months of age observed in our study and others( Reference Martin, Holly and Smith 32 ) highlight the importance of early randomisation. Further, in the CHOP study, the formulae used were casein-predominant, whereas in the EPOCH study whey-predominant formulae were used. Interestingly, casein, but not whey protein, has been previously shown to promote IGF-1 secretion( Reference Hoppe, Mølgaard and Dalum 33 ), and this may have impacted the results. In addition, in the CHOP study, there was a huge increase in the protein content of the formula used after 4 months of life( Reference Koletzko, von Kries and Closa 10 , Reference Socha, Grote and Gruszfeld 25 ). Indeed, the follow-on formulae started at 4 months of age contained 2·2 and 4·4 g protein/418·4 kJ (100 kcal), respectively. Therefore, this resulted in a sharp increase in protein intake in the high-protein group, reaching a protein:energy ratio close to whole cows’ milk (5·5 g/418·4 kJ (100 kcal)), as underlined by Michaelsen & Greer( Reference Michaelsen and Greer 34 ). On the other hand, in the EPOCH study, the infants consumed the same formula (either F1·8 or F2·7) as a follow-on formula up until 12 months of age, and the breast-fed infants all received F1·8, if necessary. Thus, assuming that formula feeding between 4 and 6 months is still predominant, it can be speculated that the daily protein intake during this period was probably much higher in infants fed the high-protein formula in the CHOP study than in infants fed either the F1·8 or the F2·7 formula in our study. Finally, in the CHOP study, blood sampling for hormonal status assessment was performed 2 months after the introduction of the follow-on formula and beginning of complementary food. In the EPOCH study, the first assessment of hormonal status was performed at 4 months of age, when the infants were still fed only the study formulae, without diversification.

In the present study, the serum IGF-1 concentrations in the breast-fed group was in agreement with the previously reported evolution during the first few months of life in healthy infants fed human milk( Reference Savino, Fissore and Grassino 35 ). However, differences in the IGF-1 concentration between formula-fed and breast-fed infants were observed. The reason for the difference in IGF-1 concentrations between formula-fed and breast-fed infants is not clear. As we also observed significantly lower serum postprandial insulin and C-peptide concentrations in the breast-fed group, it can be speculated that the difference in IGF-1 concentrations could be related to the higher dietary protein intake in formula-fed infants( Reference Socha, Grote and Gruszfeld 25 ). However, a previous randomised controlled study showed no difference in IGF-1 concentrations at 12 months in infants fed cows’ milk compared with those fed formula from 9 to 12 months of age, although the cows’ milk contained twice as much protein as the formula( Reference Larnkjaer, Hoppe and Molgaard 27 ). This suggests that other factors could influence IGF-1 secretion. In our study, the difference in IGF-1 concentrations between the formula-fed and breast-fed groups lasted longer than the exclusive feeding period, as was previously shown by Madsen et al.( Reference Madsen, Larnkjær and Mølgaard 30 ). The relationship between breast-feeding and IGF-1 concentrations has been shown to reverse in childhood, as children who had been exclusively breast-fed for at least 2 months during infancy had significantly higher IGF-1 concentrations compared with those who had never been breast-fed in previous studies( Reference Martin, Holly and Smith 32 , Reference Larnkjaer, Ingstrup and Schack-Nielsen 36 ), and it has been reported that these changes in IGF-1 could have long-term effects on adult health( Reference Juul, Scheike and Davidsen 37 ). Among other factors that could influence serum IGF-1 concentrations, it has been suggested that the IGF-1 present in human milk could play a role( Reference Kon, Shilina and Gmoshinskaya 38 ). However, there are only very small amounts of IGF-1 present in human milk, and its intestinal absorption is very limited( Reference Donovan, Chao and Zijlstra 39 ). Accordingly, some authors have suggested that milk-borne IGF-1 may not be essential for normal healthy infants, owing to the endogenous IGF-1 production( Reference Burrin, Davis and Fiorotto 40 ).

At 0·5 months and 4 and 9 months of age, the postprandial insulin and C-peptide concentrations were not different between the F1·8 and F2·7 groups in the present study. These concentrations were higher than those observed in breast-fed infants at 4 months but not at 9 months of age. It has been previously reported that urinary C-peptide concentrations and C-peptide:creatinine ratios are higher in formula-fed infants (2·2 g protein/418·4 kJ (100 kcal)) than in breast-fed infants at 3, 4, 5 and 6 months of age( Reference Ginsburg, Lindblad and Lundsjö 41 ). In contrast to our findings, Closa-Monasterolo et al.( Reference Closa-Monasterolo, Ferré and Luque 42 ) documented a higher plasma C-peptide:creatinine ratio in the high-protein v. low-protein group (no data were presented for the breast-fed group) in the CHOP cohort, although it should be noted that blood samples were taken after 2 months of follow-on formula feeding. Therefore, the markedly higher protein content of the follow-on formula (4·4 v. 2·7 g/418·4 kJ (100 kcal) in our study) could explain this difference, as previously mentioned.

In the present study, infants with a higher protein intake exhibited a trend for higher growth parameters up to 60 months of age, with significant differences at 6 and 36 months for body weight and between 6 and 36 months for length. These results are consistent with the body weight and length data presented in the CHOP study( Reference Koletzko, von Kries and Closa 10 , Reference Weber, Grote and Closa-Monasterolo 43 ). In the CHOP study, the body weight-for-age Z-scores were significantly higher in the high-protein group at 3, 6 and 12 months but not at 24 months and 6 years of age( Reference Closa-Monasterolo, Ferré and Luque 42 ). Contrary to our results, the authors reported no differences in the length-for-age Z-scores between the high- and low-protein groups at any time point( Reference Koletzko, von Kries and Closa 10 , Reference Weber, Grote and Closa-Monasterolo 43 ). The lack of effect of higher protein intake on the infants fed the high-protein follow-on formula (4·4 g/418·4 kJ (100 kcal), close to cows’ milk protein content) on length in the CHOP study( Reference Koletzko, von Kries and Closa 10 , Reference Weber, Grote and Closa-Monasterolo 43 ) could have been related to the fact that their particularly high protein intake may have surpassed the protein needs for optimal linear growth. Furthermore, kidney size was significantly increased at 6 months of age in the infants fed the high-protein follow-on formula, suggesting an increased, compensatory kidney growth to excrete a larger renal molar load( Reference Escribano, Luque and Ferre 44 ). Therefore, the data from both the CHOP and EPOCH studies do not support the use of high-protein content in formulae – that is, protein content higher than that in the standard-protein formula used here – during the first few months of life and in follow-on formulae.

As expected, formula feeding and breast-feeding had different effects on growth. During the first 4-month period, both groups of formula-fed infants grew faster than breast-fed infants. However, between 4 and 12 months, breast-fed infants had a higher growth rate, which led to similar growth parameters in formula-fed and breast-fed infants after 12 months. This is in line with the reported lower growth rate of children fed a lower protein diet in the first few months of life( Reference Gunnarsdottir and Thorsdottir 12 , Reference Martin, Holly and Smith 32 ). As breast-fed infants received a low-protein formula (F1·8) at weaning, their faster growth rate after 4 months of age may have been due to complementary feeding, which provides higher protein intakes compared with exclusively formula-fed infants( Reference Salmenperä, Perheentupa and Siimes 45 ). This faster growth rate of breast-fed infants after 4 months persisted up to 60 months of age. At that time, the anthropometric data were similar in the three feeding groups, except for mean head circumference in the F1·8 group, which was significantly lower than that in the F2·7 group at 2 months of life; however, it was similar to that of breast-fed infants, except at 48 and 60 months of age. It is very unlikely that the difference in head circumference could be related to a difference in subcutaneous fat or bone thickness, as there were no differences in BMI, fat mass measured by DEXA or skinfold thickness or in terms of linear growth and bone mass. We were not able to compare these findings with the CHOP study, as head circumference data were not reported( Reference Koletzko, von Kries and Closa 10 , Reference Weber, Grote and Closa-Monasterolo 43 ). Nevertheless, it is noteworthy that the head circumference values in the F1·8 group were within the normal values of the WHO head circumference curves( 23 ). Moreover, these results are consistent with those obtained from a Swedish population study showing that infants fed a low-protein formula (1·9 g/418·4 kJ (100 kcal)) tended to have lower head circumference growth during the 1st year of life than breast-fed infants, although the difference was not statistically significant( Reference Timby, Domellöf and Hernell 46 ). Furthermore, the head circumference values in the F1·8 group were slightly greater than the WHO standards, probably because of the differences in the population characteristics compared with the WHO reference population, as was also documented in recently published Scandinavian data( Reference Júlíusson, Roelants and Nordal 47 ). As the protein content of breast milk at the early stage of lactation is high (2 g/dl)( Reference Saarela, Kokkonen and Koivisto 48 ), which is greater than that in the F1·8 formula (1·8 g/418·4 kJ (100 kcal), i.e. 1·2 g/dl), the protein intake in the breast-fed group may have been significantly higher than that in the F1·8 group during the first few months of life, which could have had a long-term programming effect on growth. Therefore, in future studies evaluating low-protein formulae, it may be necessary to mimic breast milk composition and include a higher protein content (2 g/dl) during the first few weeks of life.

In addition, our data indicate a tendency for higher fat mass in formula-fed infants than in breast-fed infants, although this was statistically significant only during the first 4 months. This is in accordance with the results of Butte et al.( Reference Butte, Wong and Hopkinson 49 ) in their study on energy deposition. Fat deposition is influenced by the protein:energy ratio of the ingested milk. As the protein content in human milk is high during the first few weeks of life, its protein:energy ratio is higher, explaining the significantly lower fat mass and higher fat-free mass observed at 0·5 and 4 months of age in the breast-fed group than in the F1·8 group. However, fat mass was similar in the two groups of formula-fed infants. In the CHOP study, fat mass was indirectly measured using isotope dilution in a subgroup of forty-one formula-fed infants at 6 months of age; there were no differences in fat mass, although protein intake was associated with an increase in BMI( Reference Escribano, Luque and Ferre 50 ). In the present study, when we sequentially measured fat mass by PEA POD and DEXA during the first 60 months of life (Table 6), we found no differences in fat mass between infants fed a low-protein or standard-protein formula. In agreement with our fat mass results, we did not find any differences in the BMI values between infants fed a low-protein or standard-protein formula. These results are different from those of the CHOP study, which reported small, but statistically significant, differences in BMI at 6 years of age between infants fed a high-protein or low-protein formula. These differences were mainly observed in the upper tails of the BMI distribution (95th percentile)( Reference Weber, Grote and Closa-Monasterolo 43 ).

The main strength of our study is that we have compared and followed-up prospectively two groups of formula-fed infants in a randomised, double-blinded study with anthropometric data and blood collections and analysis performed at one site, with strict standardised protocols. In addition, very few infants were lost to follow-up.

Acknowledging the fact that this is a single-centre study, there are some potential limitations to our study. The main limitation in interpreting the statistical significance of data after 4 months of age is the number of patients included. This number was calculated for the primary outcome, and our data show that the IGF-1 blood levels of infants fed formula with low protein (F1·8) or high protein (F2·7) content did not differ at 4 and 9 months of life. The absence of a difference in IGF-1 concentrations at 4 months is not likely to be related to a lack of power, as the standard deviation of IGF-1 measured in our study was lower than the value used for sample size calculation, and the number of subjects analysed was higher than that required, due to the low rate of patient loss to follow-up during the study. As the number of infants was not calculated to show statistical differences in growth parameters, we have to be cautious in drawing conclusions in terms of growth. However, as differences in the head circumference growth pattern between the two study formulae were observed, beginning at 2 months and at each following anthropometric measurement, we believe that these differences would have persisted with a greater number of infants. Moreover, it is possible that the adjustment of lactose content to keep the same energy density in the two formulae could have had an effect on the serum IGF-1 concentrations. However, is very unlikely that such an increase in lactose content in F1·8 could have an effect on serum IGF-1 concentrations, as we did not observe any difference in glycaemia or in insulin and C-peptide levels between the two groups of formula-fed infants. Another limitation in comparing data with recent publications could be the fact that the follow-on formula fed to our infants was the same as the initial formula. This could explain the discrepancies observed between our results and data from other studies that changed the follow-on formula to one with a much higher protein intake (close to cows’ milk) after the 4th month of life( Reference Koletzko, von Kries and Closa 10 , Reference Juul, Scheike and Davidsen 37 ).

In conclusion, within the range of protein content of the formulae studied, we were not able to observe a difference in IGF-1 serum levels at 4 months of life. At 60 months of age, infants fed these formulae exclusively for 4 months and as a follow-on formula up to 1 year exhibited no differences in growth, with the exception of head circumference, which was lower in infants fed the low-protein formula compared with infants fed the standard-protein formula. Nevertheless, the mean head circumference value remained above the WHO growth standard.

Acknowledgements

The authors are indebted to Brigitte Guy and Blandine Pastor-Diez for assistance in collecting data and to Julie Moulin and Julien Sauser for their help with the statistical analysis.

This work was supported by Nestlé, Switzerland.

G. P. formulated the study question, designed and conducted the research, interpreted the findings and prepared the manuscript; J.-M. L. conducted the research and contributed to the drafting of the manuscript; K. M. and P. S. contributed to the design and organisation of the study; J.-C. P. designed the research, interpreted the findings and prepared the manuscript; D. G. performed the statistical analyses; and V. R. and Y. M. provided essential reagents and analysed the samples. G. P. takes the primary responsibility for the final content of the manuscript.

G. P., J.-M. L., V. R., Y. M. and J.-C. P. declare no conflicts of interest. K. M., P. S. and D. G. are employees of Nestlé, the sponsoring company. Nestlé provided the study formulae.

Supplementary material

For supplementary material/s referred to in this article, please visit http://dx.doi.org/doi:10.1017/S0007114515004456

References

1. Baird, J, Fisher, D, Lucas, P, et al. (2005) Being big or growing fast: systematic review of size and growth in infancy and later obesity. BMJ 331, 929.CrossRefGoogle ScholarPubMed
2. Karaolis-Danckert, N, Buyken, AE, Bolzenius, K, et al. (2006) Rapid growth among term children whose birth weight was appropriate for gestational age has a longer lasting effect on body fat percentage than on body mass index. Am J Clin Nutr 84, 14491455.Google Scholar
3. Taveras, EM, Rifas-Shiman, SL, Belfort, MB, et al. (2009) Weight status in the first 6 months of life and obesity at 3 years of age. Pediatrics 123, 11771183.Google Scholar
4. Ong, KK, Emmett, PM, Noble, S, et al. (2006) Dietary energy intake at the age of 4 months predicts postnatal weight gain and childhood body mass index. Pediatrics 117, e503e508.Google Scholar
5. Druet, C, Stettler, N, Sharp, S, et al. (2012) Prediction of childhood obesity by infancy weight gain: an individual-level meta-analysis. Paediatr Perinat Epidemiol 26, 1926.Google Scholar
6. Heinig, MJ, Nommsen, LA, Peerson, JM, et al. (1993) Energy and protein intakes of breast-fed and formula-fed infants during the first year of life and their association with growth velocity: the DARLING Study. Am J Clin Nutr 58, 152161.Google Scholar
7. Nielsen, GA, Thomsen, BL & Michaelsen, KF (1998) Influence of breastfeeding and complementary food on growth between 5 and 10 months. Acta Paediatr 87, 911917.CrossRefGoogle Scholar
8. Axelsson, IE, Ivarsson, SA & Raiha, NC (1989) Protein intake in early infancy: effects on plasma amino acid concentrations, insulin metabolism, and growth. Pediatr Res 26, 614617.Google Scholar
9. Raiha, N, Minoli, I & Moro, G (1986) Milk protein intake in the term infant. I. Metabolic responses and effects on growth. Acta Paediatr Scand 75, 881886.CrossRefGoogle ScholarPubMed
10. Koletzko, B, von Kries, R, Closa, R, et al. (2009) Lower protein in infant formula is associated with lower weight up to age 2 y: a randomized clinical trial. Am J Clin Nutr 89, 18361845.CrossRefGoogle ScholarPubMed
11. Akeson, PM, Axelsson, IE & Raiha, NC (1998) Growth and nutrient intake in three- to twelve-month-old infants fed human milk or formulas with varying protein concentrations. J Pediatr Gastroenterol Nutr 26, 18.CrossRefGoogle ScholarPubMed
12. Gunnarsdottir, I & Thorsdottir, I (2003) Relationship between growth and feeding in infancy and body mass index at the age of 6 years. Int J Obes Relat Metab Disord 27, 15231527.Google Scholar
13. Rolland-Cachera, MF, Deheeger, M, Akrout, M, et al. (1995) Influence of macronutrients on adiposity development: a follow up study of nutrition and growth from 10 months to 8 years of age. Int J Obes Relat Metab Disord 19, 573578.Google ScholarPubMed
14. Scaglioni, S, Agostoni, C, Notaris, RD, et al. (2000) Early macronutrient intake and overweight at five years of age. Int J Obes Relat Metab Disord 24, 777781.CrossRefGoogle ScholarPubMed
15. Dorosty, AR, Emmett, PM, Cowin, S, et al. (2000) Factors associated with early adiposity rebound. ALSPAC Study Team. Pediatrics 105, 11151118.Google Scholar
16. Hoppe, C, Molgaard, C, Thomsen, BL, et al. (2004) Protein intake at 9 mo of age is associated with body size but not with body fat in 10-y-old Danish children. Am J Clin Nutr 79, 494501.CrossRefGoogle Scholar
17. Koletzko, B, Broekaert, I, Demmelmair, H, et al. (2005) Protein intake in the first year of life: a risk factor for later obesity? The E.U. childhood obesity project. Adv Exp Med Biol 569, 6979.Google Scholar
18. Koletzko, B, von Kries, R, Closa, R, et al. (2009) Can infant feeding choices modulate later obesity risk? Am J Clin Nutr 89, 1502S1508S.Google Scholar
19. The Commission of European Communities (2006) Commission Directive 2006/141/EC of 22 December 2006 on infant formulae and follow-on formulae and amending Directive 1999/21/EC. Off J Eur Union L401/1, 133.Google Scholar
20. Chouraqui, JP, Grathwohl, D, Labaune, JM, et al. (2008) Assessment of the safety, tolerance, and protective effect against diarrhea of infant formulas containing mixtures of probiotics or probiotics and prebiotics in a randomized controlled trial. Am J Clin Nutr 87, 13651373.Google Scholar
21. Koo, WW, Walters, J & Bush, AJ (1995) Technical considerations of dual-energy X-ray absorptiometry-based bone mineral measurements for pediatric studies. J Bone Miner Res 10, 19982004.Google Scholar
22. Macé, K, Steenhout, P, Klassen, P, et al. (2006) Protein quality and quantity in cow’s milk-based formula for healthy term infants: past, present and future. Nestle Nutr Inst Workshop Ser Pediatr Program 58, 189203.Google Scholar
23. World Health Organization Multicentre Growth Reference Study Group (2006) WHO Child Growth Standards: Length/Height-for-Age, Weight-for-Age, Weight-for-Length, Weight-for-Height and Body Mass Index-for-Age: Methods and Development. Geneva: WHO.Google Scholar
24. Fleddermann, M, Demmelmair, H, Grote, V, et al. (2014) Infant formula composition affects energetic efficiency for growth: The BeMIM study, a randomized controlled trial. Clin Nutr 33, 588595.CrossRefGoogle ScholarPubMed
25. Socha, P, Grote, V, Gruszfeld, D, et al. (2011) Milk protein intake, the metabolic-endocrine response, and growth in infancy: data from a randomized clinical trial. Am J Clin Nutr 94, 1776S1784S.Google ScholarPubMed
26. Ong, KK, Langkamp, M, Ranke, MB, et al. (2009) Insulin-like growth factor I concentrations in infancy predict differential gains in body length and adiposity: the Cambridge Baby Growth Study. Am J Clin Nutr 90, 156161.CrossRefGoogle ScholarPubMed
27. Larnkjaer, A, Hoppe, C, Molgaard, C, et al. (2009) The effects of whole milk and infant formula on growth and IGF-I in late infancy. Eur J Clin Nutr 63, 956963.Google Scholar
28. Savino, F, Nanni, GE, Maccario, S, et al. (2005) Relationships between IGF-I and weight Z score, BMI, tricipital skin-fold thickness, type of feeding in healthy infants in the first 5 months of life. Ann Nutr Metab 49, 8387.CrossRefGoogle ScholarPubMed
29. Socha, P, Janas, R, Dobrzanska, A, et al. (2005) Insulin like growth factor regulation of body mass in breastfed and milk formula fed infants. Data from the E.U. Childhood Obesity Programme. Adv Exp Med Biol 569, 159163.Google Scholar
30. Madsen, AL, Larnkjær, A, Mølgaard, C, et al. (2011) IGF-I and IGFBP-3 in healthy 9 month old infants from the SKOT cohort: breastfeeding, diet, and later obesity. Growth Horm IGF Res 21, 199204.CrossRefGoogle ScholarPubMed
31. Diaz-Gomez, NM, Domenech, E & Barroso, F (1997) Breast-feeding and growth factors in preterm newborn infants. J Pediatr Gastroenterol Nutr 24, 322327.CrossRefGoogle ScholarPubMed
32. Martin, RM, Holly, JM, Smith, GD, et al. (2005) Could associations between breastfeeding and insulin-like growth factors underlie associations of breastfeeding with adult chronic disease? The Avon Longitudinal Study of Parents and Children. Clin Endocrinol (Oxf) 62, 728737.Google Scholar
33. Hoppe, C, Mølgaard, C, Dalum, C, et al. (2009) Differential effects of casein versus whey on fasting plasma levels of insulin, IGF-1 and IGF-1/IGFBP-3: results from a randomized 7-day supplementation study in prepubertal boys. Eur J Clin Nutr 63, 10761083.Google Scholar
34. Michaelsen, KF & Greer, FR (2014) Protein needs early in life and long-term health. Am J Clin Nutr 99, 718S722S.Google Scholar
35. Savino, F, Fissore, MF, Grassino, EC, et al. (2005) Ghrelin, leptin and IGF-I levels in breast-fed and formula-fed infants in the first years of life. Acta Paediatr 94, 531537.Google Scholar
36. Larnkjaer, A, Ingstrup, HK, Schack-Nielsen, L, et al. (2009) Early programming of the IGF-I axis: negative association between IGF-I in infancy and late adolescence in a 17-year longitudinal follow-up study of healthy subjects. Growth Horm IGF Res 19, 8286.Google Scholar
37. Juul, A, Scheike, T, Davidsen, M, et al. (2002) Low serum insulin-like growth factor I is associated with increased risk of ischemic heart disease: a population-based case-control study. Circulation 106, 939944.CrossRefGoogle ScholarPubMed
38. Kon, IY, Shilina, NM, Gmoshinskaya, MV, et al. (2014) The study of breast milk IGF-1, leptin, ghrelin and adiponectin levels as possible reasons of high weight gain in breast-fed infants. Ann Nutr Metab 65, 317323.Google Scholar
39. Donovan, SM, Chao, JC, Zijlstra, RT, et al. (1997) Orally administered iodinated recombinant human insulin-like growth factor-I (125I-rhIGF-I) is poorly absorbed by the newborn piglet. J Pediatr Gastroenterol Nutr 24, 174182.CrossRefGoogle ScholarPubMed
40. Burrin, DG, Davis, TA, Fiorotto, ML, et al. (1997) Role of milk-borne vs endogenous insulin-like growth factor I in neonatal growth. J Anim Sci 75, 27392743.Google Scholar
41. Ginsburg, BE, Lindblad, BS, Lundsjö, A, et al. (1984) Plasma valine and urinary C-peptide in breast-fed and artificially fed infants up to 6 months of age. Acta Paediatr Scand 73, 213217.Google Scholar
42. Closa-Monasterolo, R, Ferré, N, Luque, V, et al. (2011) Sex differences in the endocrine system in response to protein intake early in life. Am J Clin Nutr 9, 1920S1927S.Google Scholar
43. Weber, M, Grote, V, Closa-Monasterolo, R, et al. (2014) Lower protein content in infant formula reduces BMI and obesity risk at school age: follow-up of a randomized trial. Am J Clin Nutr 99, 10411051.CrossRefGoogle ScholarPubMed
44. Escribano, J, Luque, V, Ferre, N, et al. (2011) Increased protein intake augments kidney volume and function in healthy infants. Kidney Int 79, 783790.Google Scholar
45. Salmenperä, L, Perheentupa, J & Siimes, MA (1985) Exclusively breast-fed healthy infants grow slower than reference infants. Pediatr Res 19, 307312.Google Scholar
46. Timby, N, Domellöf, E, Hernell, O, et al. (2014) Neurodevelopment, nutrition, and growth until 12 mo of age in infants fed a low-energy, low-protein formula supplemented with bovine milk fat globule membranes: a randomized controlled trial. Am J Clin Nutr 99, 860868.Google Scholar
47. Júlíusson, PB, Roelants, M, Nordal, E, et al. (2013) Growth references for 0-19 year-old Norwegian children for length/height, weight, body mass index and head circumference. Ann Hum Biol 40, 220227.CrossRefGoogle ScholarPubMed
48. Saarela, T, Kokkonen, J & Koivisto, M (2005) Macronutrient and energy contents of human milk fractions during the first six months of lactation. Acta Paediatr 94, 11761181.CrossRefGoogle ScholarPubMed
49. Butte, NF, Wong, WW, Hopkinson, JM, et al. (2000) Energy requirements derived from total energy expenditure and energy deposition during the first 2 y of life. Am J Clin Nutr 72, 15581569.Google Scholar
50. Escribano, J, Luque, V, Ferre, N, et al. (2012) Effect of protein intake and weight gain velocity on body fat mass at 6 months of age: the EU Childhood Obesity Programme. Int J Obes (Lond) 36, 548553.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Demographics and baseline characteristics of infants fed low-protein or standard-protein formulae (F1·8 or F2·7) or breast milk, intention-to-treat (Mean values and standard deviations; numbers and percentages)

Figure 1

Fig. 1 Infants’ participation throughout the randomised, double-blind study of infant formula. F1·8, low-protein formula (1·8 g/418·4 kJ (100 kcal)); F2·7, standard-protein formula (2·7 g/418·4 kJ (100 kcal)); IGF-1, insulin-like growth factor-1.

Figure 2

Table 2 Insulin-like growth factor-1 (IGF-l), IGF-binding protein (IGFBP)-2 and IGFBP-3 serum concentrations at 0·5 months, 4 and 9 months of age in infants fed the study formulae (F1·8 or F2·7) or breast milk, intention-to-treat‡ (Numbers; medians and interquartile ranges (IQR))

Figure 3

Table 3 Insulin, C-peptide and glucose serum concentrations at 0·5 months, 4 and 9 months of age in infants fed the study formulae (F1·8 or F2·7) or breast milk, intention-to-treat‡ (Numbers; medians and interquartile ranges (IQR))

Figure 4

Fig. 2 Daily protein (a) and energy (b) intakes between 0·5 and 1 month (A), 1 and 2 months (B), 2 and 3 months (C), 3 and 4 months (D) and at 6 months (E), 9 months (F) and 12 months of age (G) in infants fed low-protein (F1·8, ) or standard-protein (F2·7, ) formula. Values are means, with standard deviations represented by vertical bars. * Significant difference between feeding groups (P<0·05). To convert kcal/d to kJ/d, multiply by 4·184.

Figure 5

Table 4 Volume intakes (ml/d) of infants fed the study formulae (F1·8 or F2·7), intention-to-treat† (Numbers; mean values and standard deviations)

Figure 6

Fig. 3 Weight-for-age (a), length-for-age (b) and head circumference-for-age (c) Z-scores during the first 60 months of life in infants fed a low-protein (F1·8, ) or standard-protein formula (F2·7, ). Values are means, with standard deviations represented by vertical bars. Upper and lower dotted lines indicate +2 sd and −2 sd of the reference group of breast-fed infants, respectively. * Significant difference between the two groups of formula-fed infants (P<0·05). † Significant difference between infants fed F1·8 and breast-fed infants (P<0·05). ‡ Significant difference between infants fed F2·7 and breast-fed infants (P<0·05).

Figure 7

Table 5 Anthropometric measurements between 0·5 and 60 months of age in infants fed the study formulae (F1·8 or F2·7) or breast milk, intention-to-treat‡ (Mean values and standard deviations; numbers)

Figure 8

Table 6 Fat mass and fat-free mass between 0·5 and 60 months of age in infants fed the study formulae (F1·8 or F2·7) or breast milk, intention-to-treat† (Mean values and standard deviations; numbers)

Figure 9

Table 7 Infants with serious adverse events, intention-to-treat (Numbers and percentages)

Supplementary material: File

Putet supplementary material

Putet supplementary material 1

Download Putet supplementary material(File)
File 222.2 KB