Upload
lethuy
View
220
Download
2
Embed Size (px)
Citation preview
Effects of feeding term infants low energy low protein formula supplemented with bovine milk fat globule membranes. Niklas Timby
Department of Clinical Sciences, Pediatrics
Umeå University 2014
Responsible publisher under swedish law: the Dean of the Medical Faculty
This work is protected by the Swedish Copyright Legislation (Act 1960:729)
ISBN: 978-91-7601-044-0
ISSN: 0346-6612
New series no: 1644
Electronic version available at http://umu.diva-portal.org/
Printed by: Print & Media
Umeå, Sweden 2014
i
Table of Contents
Table of Contents i Abstract iii Original papers iv Abbreviations v Sammanfattning på svenska vi Background 1
How to improve infant formulas? 2 Observed differences between formula-fed and breast-fed infants 2 Early growth and protein intake 2 Regulation of energy and volume intake 3 Neurodevelopment 4 Infections and immunology 6 Cardiovascular disease 6 The next step to improve infant formula, the rationale for the present study 10 The milk fat globule membrane 10 Hypotheses of the present trial 13
Materials and methods 14 Subjects 14 Formula composition 14 Measurements and analyses 15 Ethics 16 Statistics 16
Summary of results 18 Growth, macronutrient intakes and parental control of feeding (Papers I-II) 18 Cognitive, motor and verbal scores (Paper I) 19 Infections and pneumococcal antibodies (Paper III) 19 Blood lipids, adipokines, homocysteine, inflammatory markers and blood
pressure (Paper IV) 21 Gastrointestinal symptoms (Paper III) 21 Oral lactobacilli (Paper V) 22
Discussion 23 Energy regulation and growth 23 Cognitive development 24 Infections 24 Early metabolic programming 25 Oral lactobacilli 26 Limitations of the study 26 Strengths of the study 27 Conclusions from the present study 28 Future work on improvement of infant formulas 29
ii
Possible future areas for MFGM 31 Preterm infants 31 Acquired brain lesions 31
Acknowledgements 33 References 35
iii
Abstract
Background Observational studies have shown that early nutrition influences short- and long-term health of infants. Formula-fed infants have higher protein and energy intakes and lower intakes of several biologically active components present in human milk. Some of these are present in the milk fat globule membrane (MFGM). The aim of the present study was to examine the effects of feeding term infants an experimental low energy low protein formula supplemented with bovine milk fat globule membranes. Our hypothesis was that infants fed experimental formula (EF), compared to infants fed standard formula (SF), would have outcomes more similar to a breast-fed reference (BFR) group.
Methods In a double-blinded randomized controlled trial, 160 exclusively formula-fed, healthy, term infants were randomized to receive EF or SF from <2 to 6 months of age. A BFR group consisted of 80 breast-fed infants. Measurements were made at baseline, 4, 6 and 12 months of age. The EF had lower energy (60 vs. 66 kcal/100 mL) and protein (1.20 vs. 1.27 g/100 mL) concentrations, and was supplemented with a bovine MFGM concentrate.
Results At 12 months of age, the EF group performed better than the SF group in the cognitive domain of Bayley Scales of Infant Development, 3rd Ed. During the intervention, the EF group had a lower incidence of acute otitis media than the SF group, less use of antipyretics and the EF and SF groups differed in concentrations of s-IgG against pneumococci. The formula-fed infants regulated their intakes by increasing meal volumes. Thus, there were no differences between the EF and SF groups in energy or protein intakes, blood urea nitrogen, insulin or growth including body fat percent until 12 months of age. Pressure-to-eat score at 12 months of age was reported lower by parents of formula-fed infants than by parents of breast-fed infants, indicating a low level of parental control of feeding in the formula-fed groups. Neither high pressure-to-eat score nor high restrictive score was associated with formula feeding. During the intervention, the EF group gradually reached higher serum cholesterol concentrations than the SF group, and closer to the BFR group. At 4 months of age, there was no significant difference in the prevalence of lactobacilli in saliva between the EF and SF groups.
Conclusions Supplementation of infant formula with a bovine MFGM fraction enhanced both cognitive and immunological development in formula-fed infants. Further, the intervention narrowed the gap in serum cholesterol concentrations between formula-fed and breast-fed infants. The lower energy and protein concentrations of the EF were totally compensated for by a high level of self-regulation of intake which might, at least partly, be explained by a low level of parental control of feeding in the study population. The findings are of importance for further development of infant formulas and may contribute to improved short- and long-term health outcomes for formula-fed infants.
iv
Original papers
I. Timby, Domellöf E, Hernell O, Lönnerdal B, Domellöf M.
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. 2014;99(4):860-8.
II. Timby N, Hernell O, Lönnerdal B, Domellöf M. Parental feeding
control in relation to feeding mode and growth pattern in
early infancy. Submitted.
III. Timby N, Hernell O, Vaarala O, Melin M, Lönnerdal B, Domellöf M.
Infections in infants fed formula supplemented with
bovine milk fat globule membranes. A randomized
controlled trial. Submitted.
IV. Timby N, Lönnerdal B, Hernell O, Domellöf M. Cardiovascular
risk markers until 12 months of age in infants fed a
formula supplemented with bovine milk fat globule
membranes. Submitted.
V. Vestman NR, Timby N, Holgerson PL, Kressirer CA, Claesson R,
Domellöf M, Öhman C, Tanner AC, Hernell O, Johansson I.
Characterization and in vitro properties of oral lactobacilli
in breastfed infants. BMC Microbiol. 2013;13:193.
Paper I is reprinted with permission from American Journal of Clinical
Nutrition. Copyright © 2014 by the American Society for Nutrition.
Paper V is an open access article distributed under the terms of the Creative
Commons Attribution License. Copyright © 2013 Romani Vestman et al.;
licensee BioMed Central Ltd.
v
Abbreviations
AOM acute otitis media
ARA arachidonic acid
Bayley-III Bayley Scales of Infant and Toddler Development, Third
Edition
BFR breast-fed reference
BMI body mass index
BUN blood urea nitrogen
DHA docosahexaenoic acid
EEG electroencephalogram
EF experimental formula
ESPGHAN The European Society for Paediatric Gastroenterology,
Hepatology and Nutrition
hsCRP high sensitive C-reactive protein
IGF-1 insulin-like growth factor 1
LCPUFA long chain polyunsaturated fatty acids
MFGM milk fat globule membranes
SF standard formula
vi
Sammanfattning på svenska
Bakgrund
Från födseln fram till att man börjar med smakportioner, vanligen mellan 4-
6 månaders ålder, får barn som helammas all sin näring via bröstmjölken
vars sammansättning regleras i moderns bröstkörtel. Barn som inte ammas
bör istället få modersmjölksersättning som då blir den enda näringskällan.
Modersmjölksersättning baseras oftast på komjölk och eftersom varje art har
sin specifika sammansättning av mjölk, behöver komjölken ändras i sin
sammansättning för att ge en tillfredsställande näringstillförsel.
Ersättningen ska svara mot näringsbehovet för varje spädbarn som får den
och design av modersmjölksersättning, utan hjälp av regleringen i
bröstkörteln, är en av de största utmaningarna inom livsmedelsproduktion.
Faktorer som saknas eller finns i fel koncentration kan innebära negativa
hälsoeffekter.
Förbättringar av modersmjölksersättningar ska baseras på uppmätta
skillnader mellan ammade och ersättningsuppfödda barn. De skillnader man
ser är små och på individnivå oftast betydelselösa men på gruppnivå finns
klart mätbara skillnader som kan ha hälsoeffekter i befolkningen, såsom
skillnader i tillväxt, kognitiv utveckling och sjuklighet i infektioner. Amning
tycks också ha en skyddande effekt mot diabetes typ 1 och celiaki. Under de
senaste decennierna har konceptet tidig metabol programmering fått
uppmärksamhet där man kan koppla tidiga miljöfaktorers påverkan på
metabola system i kroppen till långsiktiga hälsoeffekter. Tidig nutrition och
tillväxt är några faktorer som har föreslagits kunna ha
programmeringseffekter som kan påverka risk för fetma, det metabola
syndromet och hjärt-kärlsjukdomar i vuxen ålder.
Eftersom det är oetiskt att randomisera barn till amning eller
modersmjölksersättning är alla studier som jämför skillnaderna
observationsstudier. Det innebär att det alltid finns en möjlighet att de
skillnader man ser beror på skillnader mellan grupperna som inte har med
uppfödningssätt att göra. Mycket talar dock för att åtminstone en del av
skillnaderna orsakas av skillnader i sammansättning mellan
modersmjölksersättning och bröstmjölk, där bröstmjölk har lägre energi-
och proteininnehåll och innehåller bioaktiva ämnen som saknas i
modersmjölksersättning. En bioaktiv fraktion i bröstmjölk är
mjölkfettsmembranet (MFGM) som innehåller bl a glykoproteiner och
fosfolipider som både har immunologiska effekter och är byggstenar i
nervsystemet. MFGM saknas i modersmjölksersättning eftersom
vegetabiliskt fett, och inte mjölkfett, används som fettkälla. Nyligen har
renade MFGM-fraktioner från komjölk börjat produceras kommersiellt.
vii
Hypotes
Vår huvudhypotes var tvådelad: 1) att en experimentell
modersmjölksersättning (EF) med sänkt energi- och proteininnehåll skulle
ge ett lägre energi- och proteinintag och därmed att barn som fått EF skulle
ha ett tillväxtmönster närmare en ammad referensgrupp (BFR) jämfört med
barn som fått standard-modersmjölksersättning (SF) och 2) att tillsats av en
MFGM- fraktion från komjölk till EF skulle påverka neurologisk utveckling
positivt för barn som fått EF. För de sekundära utfallsvariablerna var vår
hypotes att barn som fått EF, jämfört med barn som fått SF, skulle få utfall
närmare BFR-gruppen i riskmarkörer för hjärt-kärlsjukdom,
infektionssjuklighet och kolonisation av munfloran med laktobaciller.
Metoder
I en dubbelblindad studie randomiserades 160 barn som slutat ammas innan
2 månaders ålder till att få EF eller SF fram till 6 månaders ålder. En ammad
referensgrupp (BFR) med 80 barn rekryterades parallellt. Besök gjordes vid
inklusionen (<2 mån), 4, 6 och 12 månaders ålder. EF innehöll mindre
energi (60 jämfört med 66 kcal/100 mL) och protein (1.20 jämfört med 1.27
g/100 mL) än SF samt hade tillsats av en MFGM-fraktion från komjölk.
Resultat
Vid 12 månaders ålder hade EF-gruppen i medeltal högre resultat på den
kognitiva domänen av testinstrumentet Bayley III.
Under interventionen hade EF-gruppen signifikant lägre incidens av akut
öroninflammation än SF-gruppen, mindre användande av febernedsättande
medicin och skilde sig i nivåer av antikroppar mot pneumokocker.
Barnen som fick modersmjölksersättning reglerade sitt intag genom att öka
måltidsvolymerna. Detta ledde till att energi- och proteinintag för EF- och
SF-grupperna inte skiljde sig åt, och inte heller tillväxt inklusive
kroppssammansättning, urea- eller insulinnivåer. BFR-gruppen hade lägre
vikt- och längdökning mellan inklusionen och 6 månaders ålder och lägre
urea- och insulinnivåer än de ersättningsuppfödda grupperna (EF+SF).
viii
Föräldrarna till de ersättningsuppfödda barnen rapporterade lägre
“pressure-to-eat score”, ett mått på föräldrarnas oro för undervikt och vilja
att påverka barnets intag, vid 12 månader jämfört med föräldrarna till BFR-
gruppen tydande på en låg grad av föräldrakontroll för de
ersättningsuppfödda grupperna.
Under interventionen nådde EF-gruppen gradvis högre serum-
kolesterolnivåer än SF-gruppen och det var ingen signifikant skillnad mellan
EF- och BFR-grupperna vid 6 månaders ålder.
Vid 4 månaders ålder hade BFR-gruppen oftare laktobaciller i sin munflora
jämfört med EF- och SF-grupperna.
Slutsatser
Tillsats med MFGM till modersmjölksersättning gav en positiv effekt både på
den kognitiva och immunologiska utvecklingen hos ersättningsuppfödda
barn. Interventionen minskade också skillnader i kolesterolkoncentrationer
mellan ersättningsuppfödda och ammade barn.
Det sänkta energi- och proteininnehållet i EF kompenserades fullständigt av
de ersättningsuppfödda barnens egenreglering. Den oväntat goda
egenregleringen kan åtminstone delvis förklaras av låg grad av
föräldrakontroll i vår studiepopulation.
Resultaten är en viktig del i det fortsatta arbetet med utveckling av
modersmjölksersättningar och skulle kunna bidra till att förbättra
ersättningsuppfödda barns hälsa på kort och lång sikt.
1
Background
The nutritional support needed for growth and development of the fetus and
infant is based on the mother´s diet and supplied via the placenta and breast
milk. When introduced to complementary food, typically between 4 and 6
months of age, the infant’s diet becomes more and more diversified and is
expected to meet the needs for growth and development independently of
the mother´s diet. When breast milk is not available for the infant, the
nutritional support during the nursing period is solely dependent on the
composition and amount of the infant formula given and, therefore, the
functional composition of an infant formula is one of the greatest challenges
in nutrition. The composition of the formula has to meet the need for every
infant fed the formula, without help from the regulation in the mother´s
mammary gland. Any compound with too low or too high concentration may
result in unfavourable functional outcomes for the recipient infant.
Figure 1. Breast-feeding vs. formula-feeding.
2
How to improve infant formulas?
The European Society for Paediatric Gastroenterology, Hepatology and
Nutrition (ESPGHAN) Committee on Nutrition has commented on how
future work on improvement of infant formulas should be carried out. The
Committee stresses that the composition of human milk should not be the
reference in studies on infant formulas, but the outcome of healthy breast-
fed infants. A systematic review of existing information should be the base
for the introduction of any modifications to infant formulas, and appropriate
studies of efficacy and safety should be performed. Blind randomization
between study and control formula is important (1).
Observed differences between formula-fed and breast-fed infants
As randomization between formula-feeding and breast-feeding is unethical,
the knowledge on differences between formula-fed and breast-fed infants is
based on observational studies. In all populations, there are
sociodemographic differences between the parents of formula-fed and
breast-fed infants and different studies adjust for theses differences in
different ways. Due to the observational design of the studies, it is uncertain
if any found difference is caused by differences in the composition of infant
formula and breast milk or due to differences in background factors not
adequately adjusted for.
Early growth and protein intake
The protein content of infant formula has always been higher than that of
breast milk, mainly to ensure sufficient levels of essential amino acids. With
improved protein quality, the protein concentration has gradually been
lowered. In the DARLING study from the late 1980s, formula-fed infants
showed a more rapid gain in weight and lean body mass between 3 and 9
months of age, a significantly higher total energy intake and 70% higher
protein intake compared to breast-fed infants (2). In a large European multi-
center study recruiting infants between 2002 and 2004, protein: energy
ratios in iso-caloric infant and follow-on formulas were reduced from 2.9 to
1.8 and from 4.4 to 2.2 g/100 kcal, respectively. This resulted in a reduction
of weight-for-length z-score at 2 years by 0.20 in the low protein compared
to the high protein group. However, the low protein group still had
significantly higher weight and BMI than a breast-fed reference group at 2
3
years of age (3). The protein intake has been suggested to be the most
important macronutrient factor for the accelerated growth in formula-fed
infants since high protein intake leads to high levels of growth-promoting
hormones like insulin and IGF-1 (4), and higher protein intake has been
linked to future overweight (5, 6).
Regulation of energy and volume intake
The average energy density of mature breast milk has long been considered
to be about 67 kcal/100 ml and virtually all infant formulas have the same
energy density. Current regulations of the composition of infant formulas (7-
10) are based on this assumption, albeit with some allowance for variation,
resulting in a minimum of 60-67 kcal/100 ml (8, 10, 11). However, several
studies strongly suggest that the metabolizable energy of breast milk is
considerably lower, and possibly over-estimated by 10-30% (12-14).
It has been reported that healthy infants have the capacity to self-regulate
meal size depending on energy density of the food during the first year (15),
and this was noted already during the first week in premature newborns (16).
However, early studies on infants fed formulas with large differences in
energy density have shown that 1.5 – 3 months old infants were able to fully
regulate the intake of a low and high energy formula (54 vs 100 kcal/100 ml),
but the regulation was incomplete before 1.5 months of age (17). Infants 4-6
months who received a very low energy formula (36 vs 67 kcal/100 ml) plus
unlimited complementary food were not able to fully up-regulate the volume
intake and had a lower energy intake and weight gain than infants fed
standard formula (18).
If the infant´s self-regulation of energy intake is disturbed, the growth
pattern can be affected. Both parental handling of the feeding dynamic and
intrinsic characteristics of the child (“appetite”) influence weight gain in
early infancy (19). The temperament of the newborn infant affects weight
gain; “fear” (rejection of new objects or people) is associated with poor
weight gain and “distress to limitations” (negative emotionality and the
infant’s reactions to frustrating situations) with fast weight gain (20). Several
studies have shown a difference in self-regulation between formula-fed and
breast-fed infants suggesting that formula-feeding is a risk factor for
disturbed self-regulation. Data on milk intake for breast-fed infants are
available from stable isotope methodology and shows an increase in volumes
from 1 to 4 months reaching a plateau after 6 months with a great variability
within and between populations (21). Bottle-fed infants showed less
4
variability in volume between feedings, an earlier daytime-concentration of
feedings and larger total daily volume of feeding (22). Further, children who
were bottle-fed in early infancy had reduced self-regulation in late infancy
(23). Mothers who had breast-fed their infants showed less restrictive
behavior regarding child feeding at 1 year compared to mothers who had
exclusively formula-fed their infants (24). A high level of maternal control at
6 months of age worsens both underweight (“failure to thrive”) and
overweight problems between 6 and 12 months of age (25), and the level of
maternal control explains 13% of the association between breast-feeding
duration and BMI at 3 years of age (26). In rats, maternal behavior has been
shown to result in epigenetic changes in the pups resulting in an altered
response to stress (27). Intake of formula can also be affected by the
concentration of certain nutrients, e.g. supplementation of formula with free
glutamate decreases volume intake (28).
Neurodevelopment
Experimental data from animal models and short-term follow-up studies
indicate a relationship between early nutrition and neurodevelopment (29).
Many nutrients affect the development of the nervous system in early
childhood including protein, energy, fat, iron, zinc, copper, iodine, selenium,
vitamin A, choline and folate. Deficits in certain nutrients can have either
global or circuit-specific negative effects on brain development (30), and the
importance of choosing the right measurements of neural function in
nutrition-cognition studies has been stressed (31). Breast-fed and formula-
fed infants have been shown to differ in both global and specific areas. For
preterm infants, total brain volume and especially the white matter volume
in late childhood is positively correlated to the amount of breast milk
ingested during the first month (32). During the first year, healthy breast-fed
and formula-fed infants have different developmental profiles of EEG
spectral power (33). Several large studies have shown better psychomotor
development and cognitive function in breast-fed compared to formula-fed
infants. In a meta-analysis of observational studies adjusting for potential
confounders (socioeconomic, educational and hereditary factors), a
difference of 3.16 points in cognitive testing to the breast-fed children´s
advantage was found at 6-23 months of age. The difference was persistent at
least until 15 years of age. The advantage increased with duration of breast-
feeding and low birth weight infants benefitted most (34). Due to the
observational design of the included studies, the external validity of the
meta-analysis is controversial, though (35, 36). However, one single
randomized study from the 1980’s showed higher developmental scores in
5
preterm infants receiving banked breast-milk supporting the hypothesis that
there are factors in breast milk that enhance neural development (37). In the
PROBIT study in Belarus where the rate of breast-feeding was low, hospitals
were cluster randomized to breast-feeding promotion or no intervention.
The breast-feeding promotion significantly increased the rate of breast-
feeding and was associated with 7.5 points higher verbal IQ at 6.5 years (38).
Several factors have been suggested to explain the difference in
neurodevelopment between formula-fed and breast-fed infants. Any
candidate factor should be present at a different concentration in breast milk
than in formula, and have an effect on neurodevelopment shown in animal
or human studies. Supplementation with the long chain polyunsaturated
fatty acids (LCPUFA) docosahexaenoic acid (DHA) and arachidonic acid
(ARA) to infant formula has been subjected to several randomized controlled
trials. However, Cochrane reviews have not confirmed that LCPUFA
supplementation has a positive effect on neurodevelopment neither in term,
nor in preterm infants (39, 40), leaving the field open for other candidate
factors. Children aged 4-6 years who were breast-fed as infants have a
greater likelihood of foveal stereo acuity at 4-6 years compared to those who
were fed formula with or without DHA supplementation, further suggesting
that breast milk factors besides DHA might be of importance for visual
development (41).
Sphingomyelin, choline, sialic acid, gangliosides and cholesterol are all
present in higher concentration in human milk than in infant formula (42-
45). Sphingomyelin-fortified milk had a positive association with
neurobehavioral development in very low birth weight infants (46). Choline
supplementation improved memory and learning in rats (47). Sialic acid is
important for the development and growth of neural tissue (48), and
supplementation with sialic acid in a pig model improved memory and
learning (49). Gangliosides are known to play a role in neuronal growth,
migration and maturation, neuritogenesis, synaptogenesis, and myelination
(50). One double-blinded randomized study showed a positive effect of
supplementation with complex lipids containing gangliosides to infant
formula, from 2 to 8 weeks until 24 weeks of age, on cognitive function
measured with Griffith Mental Development Scale at 24 weeks of age (51).
Cholesterol increases myelination in the mouse brain (52) and is protective
against neural degradation in elderly humans (53). The concentration of iron
is considerably higher in infant formula than in human milk, and the results
from one study suggests that too much iron to iron replete infants may have
a negative effect on neurodevelopment (54).
6
Infections and immunology
The preventive effect of breast-feeding on infections, especially in developing
countries, has been pointed out as its most important health benefit (55).
Even in developed countries, formula-fed infants have higher risk of
infections during the first year of life, e.g. respiratory tract infections (56),
acute otitis media (AOM) (57, 58) and gastroenteritis (59), compared to
breast-fed infants and promoting breast-feeding has been shown to reduce
infectious diseases at the community level (60). Several antibacterial,
antiviral and immune-modulating factors in human milk have been
described; proteins including immunoglobulins, cytokines, lactoferrin,
lysozyme, κ-casein, lactoperoxidase, haptocorrin, α-lactalbumin,
osteoprotegerin and bile salt-stimulated lipase (61-65), but also
oligosaccharides, glycoconjugates (66) and lipids (67, 68). These factors can
act directly by intervening with the adhesion of microbes to the mucosa, by
killing the pathogenic microbes, by modulating the intestinal microbiota, or
by affecting other parts of the systemic immune system (69-73).
Breast-fed and formula-fed infants differ in their immune responses (74)
where breast-feeding is associated with an anti-inflammatory cytokine
milieu (75), Th1 type response (76) and better serological protection after
vaccination (77). Infant feeding and weight gain pattern during the first year
of life has been shown to influence the risk of type 1 diabetes where
breastfeeding seems to be protective (78). Breastfeeding also seems to
reduce the risk of developing celiac disease (79).
Cardiovascular disease
Observational studies on the relationships between perinatal factors and
health or disease in adult life have given rise to the concept of metabolic
programming resulting from environmental exposures during certain early
time windows causing irreversible effects on the individual that remain
through life. The suggested possible mechanisms are many, from injuries
causing suboptimal development of organs to epigenetic changes resulting in
modified expression of genes. Early feeding is one important factor affecting
metabolic programming. Many observed relationships are related to
metabolic factors or growth, highly dependent on early diet, even in previous
generations or during pregnancy or early infancy.
Barker et al. found that low birth weight is a risk factor for ischemic heart
disease later in life (80). The fetal origins hypothesis stated that fetal under-
7
nutrition leads to disproportionate fetal growth and programs later coronary
heart disease (81). The same phenomenon was found for type 2 diabetes
mellitus which led to the thrifty phenotype hypothesis (82). Besides fetal
environmental factors, a genetic predisposition of insulin resistance giving
both an intrauterine growth restriction and later insulin resistance has been
proposed to be a part of the explanation of the association between low birth
weight and later metabolic syndrome (83). Follow-up of children to mothers
who were pregnant during the Dutch famine 1944-1945 has shown that the
timing of the nutritional insult is important; starvation during early
gestation was associated with more coronary heart disease, raised blood
lipids, altered clotting and obesity while mid-gestation starvation was
associated with obstructive airway disease and micro-albuminuria and late-
gestation starvation with decreased glucose tolerance (84-86). Even a trans-
generational effect has been reported: children of fetuses exposed to in utero
starvation during the Dutch famine suffer from neonatal obesity and poor
health later in life (87).
The findings of the importance of early growth velocity, where a relationship
between fast growth in childhood and cardiovascular disease (88), impaired
glucose tolerance (89), obesity (90), increased blood pressure (91, 92) and
poor endothelial function (93), further contributed to the programming
concept. Singhal and Lucas formulated the growth acceleration hypothesis,
i.e. that accelerated growth in childhood is the common denominator for
programming cardiovascular disease (94). The growth acceleration can start
already in fetal life and high maternal weight gain during pregnancy
increases birth weight independently of genetic factors (95). Another way of
describing the idea of metabolic programming is an imbalance between on
one hand the metabolic capacity which is set in fetal life and infancy, and on
the other hand the metabolic load which is mainly dependent on the growth
pattern from infancy to adulthood (96).
The mechanisms responsible for the changes in central circuits and
peripheral tissues are not fully understood (97). From a molecular point of
view, epigenetic changes resulting in altered expression of certain genes are
likely to play a role (98). From the phenotypical point of view, changes in the
development and organization of hypothalamic circuits regulating body
weight and energy balance are probably important (99) besides the possible
changes in peripheral tissues listed below:
Children born small for gestational age with catch-up growth have
elevated insulin levels and increased proportion of body fat,
characteristics probably important for any programming effect of
8
accelerated early growth (100). Increased body fat is partly mediated
by suppressed thermogenesis (101).
Inflammation plays a key role in the development of atherosclerosis,
and increased levels of several inflammatory markers are associated
with cardiovascular disease, e.g. C-reactive protein (CRP), tumor
necrosis factor α (TNF-α) and interleukin-6 (IL-6) (102, 103). CRP
itself can also be a direct mediator of endothelial injury (104).
Children and young adults aged 5-25 years of parents with essential
hypertension had higher CRP-levels than offsprings to normotensive
parents (105).
Elevated homocysteine levels are hypothesized to cause toxic
endothelial damage resulting in both reactive oxygen species
inducing oxidative damage to endothelial cells and decreasing
endothelial production of nitric oxide leading to impaired vascular
reactivity and platelet activation and thrombosis (104). In children
with familial hypercholesterolemia, total homocysteine is related to
carotid intima-media thickness (106). Children born small for
gestational age have elevated homocysteine levels at 8-13 years
(107).
Overweight children aged 5-18 years have an unfavorable blood
lipid profile, as do adults with metabolic syndrome, i.e. high total
cholesterol, high low-density lipoprotein cholesterol, low high-
density lipoprotein cholesterol and high triglycerides (108).
In children born small for gestational age, low serum adiponectin is
associated with insulin resistance at 12 years (109), and with
elevated leptin at 8-13 years (107).
Chronic stress is linked to metabolic syndrome in a dose-dependent
manner (110). Both elevated cortisol levels and autonomic
dysfunction are involved (111). In infants born small for gestational
age, increased glucocorticoid activity is associated with insulin
resistance at 12 years (109).
Overweight children with metabolic syndrome have elevated levels
of 8-iso-prostane, a marker for systemic oxidative stress (112).
Blood pressure is significantly correlated to fasting insulin in
children 3-18 years, and fasting insulin levels predict the level of
blood pressure 6 years after (113). Systolic blood pressure in
childhood has been shown to predict hypertension and risk of
metabolic syndrome in adulthood (114).
Children with pulmonary hypertension have elevated plasma nitrate
levels (115). Nitric oxide (NO) is the key molecule in the relaxation of
smooth muscles in the vascular wall and the exogenous pathway
from dietary nitrate and nitrite and the reduction of nitrate to nitrite
9
by bacterial nitrate reductases in the oral cavity has been suggested
as a potential factor affecting cardiovascular disease (116).
Veillonella spp. is the most prevalent nitrate reductase positive taxa
in the oral cavity (117).
Vascular changes in blood vessels associated with the development
of atherosclerosis can be found in early childhood. Anatomic
(intima-media thickness) as well as physiologic (flow-mediated
dilation and endothelial performance) and mechanical (arterial
distensibility) changes can be measured with a non-invasive
ultrasound technique (104). Aortic intima-media thickness was
greater in newborn infants with low birth weight compared to
normal birth weight babies. Aortic intima-media thickness was also
greater in neonates of smoking mothers (118). Pre-pubertal children
with obesity had an increased carotid intima-media thickness, which
decreased after weight loss (119). Children aged 10-19 years with
familial hypercholesterolemia had greater carotid intima-media
thickness than a control group (106).
Differences in the infant´s intestinal flora predict later overweight
(120), and has been suggested as an important risk factor for obesity
(121, 122). On a group level, there are differences in the colonization
pattern of the gastrointestinal tract between breast-fed and formula-
fed infants. In the oral flora, lactobacilli are more common in breast-
fed infants (123). In the gut flora, L. rhamnosus, clostridia,
bacterioides, enterococci and enterobacteriaceae are more common
in formula-fed infants, while staphylococci are more common in
breast-fed infants (124).
A twin study has shown that both genetic and environmental factors
can explain the clustering of metabolic factors in metabolic
syndrome (125). Children aged 11-15 years with at least one parent
with metabolic syndrome had lower glucose disposal in a
euglycemic- hyperinsulinemic clamp and higher fasting insulin
levels compared with children with parents without metabolic
syndrome (126). Children of parents with early coronary artery
disease were overweight in childhood and had unfavourable
cardiovascular risk factors profiles (127). Mitochondrial DNA
abnormalities are related to both placental dysfunction and vascular
changes in atherosclerosis and have been considered as a possible
genetic/intrauterine environmental factor explaining metabolic
programming effects (128). Both maternal and fetal genotypes have
been associated to early infant growth (129). Children with genetic
markers of known adult obesity risk genes show faster weight and
10
length gain during the first 6 weeks of life, suggesting that the
genetic risk profile affects growth directly after birth (130).
According to the growth acceleration hypothesis (94), formula-fed infants
are at risk of future cardiovascular disease, because of a more rapid weight
gain compared to breast-fed infants (131, 132). A relation between formula-
feeding and higher risk for cardiovascular disease has been suggested from
several studies. There is a dose-dependent association between longer
duration of breast-feeding and decreased risk of overweight (133). According
to Owen et al., adults that were formula-fed had 39% higher risk of type 2
diabetes (134), 13% higher risk of obesity (135) and 1.1 mm Hg higher
systolic blood pressure (136). Breastfed infants had higher blood cholesterol
during infancy but lower levels in adulthood (137). Another study showed
that breastfed infants had higher cardiorespiratory fitness in childhood and
adolescence even after correction for background factors, weight and
physical activity (138). Other possible programming mechanisms have not
been shown to be related to infant feeding mode, for example it should be
noted that one large study could not find any association between
breastfeeding in infancy and inflammatory status in adolescence (139).
The next step to improve infant formula, the rationale for the present study
The most obvious differences in developed countries between formula-fed
and breast-fed infants found in observational studies are the differences in
growth pattern, cognitive development and infections, particulary AOM. This
indicates that lowering energy and protein intakes of formula-fed infants
aiming at mimicking the growth of breast-fed infants and to add functional
components similar to those in breast milk to infant formula to enhance
neurodevelopment and the defense against infections would be the way to
further narrow the gap in performance between formula-fed and breast-fed
infants.
The milk fat globule membrane
The lactating mammary gland cell forms and releases lipids by a unique
mechanism. In the cytoplasm of the epithelial cells, droplets of the
hydrophobe triacylglycerol core are surrounded by a coating
phospholipid/cholesterol layer with incorporated proteins. These lipid
droplets are secreted from the cells by fusion with the apical plasma
11
membrane or by exocytosis over the apical plasma membrane after being
surrounded by secretory vesicles. This gives the lipid droplet in the lumen a
triple phospholipid layer membrane consisting of the coating layer and the
double phospholipid/cholesterol layer with proteins and glycoproteins
derived from the cell membrane or secretory vesicles. The proteins are
located to different layers in the membranes with the carbohydrates of the
glycoproteins directed outwards on the hydrophilic surface of the lipid
droplet. The membrane surrounding the secreted fat droplets is called the
milk fat globule membrane (MFGM). The lipid: protein weight ratio of the
MFGM is approximately 1:1 (140, 141)
The lipid fraction of the MFGM is rich in various phospholipids and
cholesterol. Phospholipids make up 30% of the total lipid weight.
Sphingomyelin, phosphatidylcholine and phosphatidylethanolamine make
up 30% each of the phospholipid content in MFGM (140).
Choline is a highly methylated compound and is a precursor for the
biosynthesis of the membrane constituents phosphatidylcholine,
sphingomyelin and choline-containing plasmalogens as well as the
neurotransmitter acetylcholine. In foods, choline exists unesterified or
esterified as phosphocholine, glycerophosphocholine, phosphatidylcholine
and sphingomyelin. The choline and choline ester content is different in
breast milk than in infant formula; the sphingomyelin and phosphocholine
concentrations being higher in breast milk (142). Choline is closely related to
folate and is, like folate, essential for the development of the nervous system.
The fetus and the neonate have high concentrations of choline in blood and
tissues. In a mouse model, experimentally inhibited uptake and metabolism
of choline in embryos was associated with neural tube defects (143). In
humans, women in the lowest quartile for daily choline intake had twice the
risk of having a baby with a neural tube defect than women in the highest
quartile (144). Choline status of the mother in the first half of pregnancy was
associated with cognitive development measured with the Bayley Scales of
Infant and Toddler Development at 18 months of age (145). In a rat model,
supplementation with choline improved memory and learning (146). In rats,
there are two sensitive periods when oral choline supplementation gives
positive effects on brain function, during neurogenesis and synaptogenesis.
Extrapolating to humans, these periods would correspond to a period from
in utero to 4 years of age (147). It has been suggested that the effects of
choline on neurodevelopment could be due to epigenetic mechanisms (47).
The sphingomyelin concentration of human milk is higher than in formula
based on cow´s milk and much higher than in soy-based formula (42).
Sphingomyelin and its metabolites ceramide, sphingosine, ceramide-1-P and
12
sphingosine-1-P act as second messengers in cell signalling and have
regulating effects on apoptosis, cell-cycle arrest, cell survival, cell
proliferation and inflammation (148). In a rat model with experimentally
inhibited myelination of the nervous system, oral sphingomyelin increased
myelination (149). Oral sphingomyelin increased maturation of the intestine
in rats (150). Sphingomyelin has also been shown to have cholesterol
lowering effects in rats by inhibiting intestinal absorption of cholesterol (151,
152).
Gangliosides are sialic acid-containing glycosphingolipids found in breast
milk and known to play a role in neuronal growth, migration and
maturation, neuritogenesis, synaptogenesis and myelination (50). MFGM
contains gangliosides and ganglioside concentrations in intestinal mucosa
and plasma were elevated after MFGM supplementation in a mouse model
(153). Supplementation of an infant formula with complex lipids containing
gangliosides has in one study, in which the formula was fed from 2-8 weeks
until 24 weeks of age, shown increased plasma levels of the gangliosides
GM3 and GD3 and a higher Griffith Scales score on hand-eye coordination,
performance IQ and general IQ at 6 months compared to a control formula
(51). Ceramide, a component of gangliosides, constitutes 10% of the lipid
mass of the brain (48).
MFGM has high capacity to carry lipophilic compounds, and therefore
MFGM-enrichment has the potential to increase lipid-soluble nutrients in
food (154).
The proteome of the human MFGM revealed 191 different identified proteins
(155). In a study with bovine MFGM-rich fractions, 244 proteins were
identified in a whey protein concentrate and 133 in a buttermilk protein
concentrate. Combined, the proteins of the MFGM only represent 1-4% of
the total milk protein content, but they have gained much interest because of
studies showing that many of them have potential beneficial health effects.
Almost 50% of the MFGM-proteins have membrane/protein trafficking or
cell signaling functions (156). Fatty acid binding protein (FABP), BRCA1,
BRCA2 and beta-glucuronidase inhibitor have proposed anticancer effects,
helicobacter pylori-inhibitor prevents gastric diseases and butyrophilin
suppresses multiple sclerosis (157). In addition, MFGM has been suggested
to have anti-infective properties. Butyrophilin, MUC1, PAS6/7 (lactadherin),
CD14, toll-like receptor 1 and 4 and xanthine oxidase are proteins in MFGM
with antimicrobial effect (156-159).
Sialic acid is a nine-carbon sugar present in free form or as a structural and
functional component of gangliosides, glycoproteins and oligosaccharides.
13
The oligosaccharide concentration is considerably lower in bovine than
human milk (160), and sialic acid in infant formula is mainly bound to
glycoproteins (48). The total sialic acid concentration in infant formula is
typically <25% of that in breast milk, and the protein-
bound/oligosaccharide-bound ratio is 3:1 in infant formula compared to 1:3
in breast milk (44). MUC1 and MUC15 are highly glycosylated proteins with
high content of sialic acid that are present in the MFGM (161, 162). Sialic
acid concentrations in body fluids reflect metabolic status and body tissue
levels. Formula-fed infants have lower concentration of both free and total
sialic acid in saliva compared to breast-fed infants (163). The human brain
has the highest known concentration of sialic acid in nature, and sialic acid
has been suggested as a potential breast milk factor supporting optimal
neural function (48). In a pig model, sialic acid supplementation improved
memory and learning (49).
Traditionally, during the manufacturing of infant formula, the MFGM
fraction has been discarded as vegetable oil instead of milk fat has been used
as fat source. With new dairy industry techniques, bovine MFGM-rich
fractions are now commercially available and can be supplemented to food
(164). MFGM supplementation to complementary food fed from 6 to 11
months of age gave a reduction of diarrhea in a study in Peru (165). MFGM-
enriched formula fed to preschool children for 4 months gave a reduction in
febrile episodes and behavioural disturbancies (166). MFGM
supplementation during 4 weeks to adults reduced the trend towards
increasing blood lipids concentrations (167).
Hypotheses of the present trial
Our main hypotheses were that 1) an experimental infant formula (EF) with
reduced energy and protein concentrations would yield a lower energy and
protein intake of infants fed EF compared to infants fed standard formula
(SF) and a growth closer to that of a breast-fed reference (BFR) group and 2)
that supplementation with a bovine MFGM fraction to the EF would enhance
neurodevelopment for EF-fed infants. Primary outcomes were weight at 6
months, fat percentage at 4 months and Bayley III-scores at 12 months.
We further hypothesized that the EF group, compared to the SF group,
would perform more similar to the BFR group in the secondary outcomes
cardiovascular risk markers, infectious morbidity and oral colonization of
lactobacilli.
14
Materials and methods
Subjects
From March 2008 to February 2012, 160 formula-fed infants (80 girls and
80 boys) and a breast-fed reference (BFR) group with 80 infants (40 girls
and 40 boys), all born at Umeå University Hospital, Umeå, Sweden, were
recruited after inviting parents by telephone. Inclusion criteria were <2
months of age, gestational age at birth 37-42 weeks, birth weight 2500-4500
g, absence of chronic illness, and exclusive formula-feeding or, for the BFR
group, exclusive breastfeeding at inclusion and mother´s intention to breast-
feed until 6 months of age, with only small amounts (taste portions)
complementary foods, but no formula, allowed between 4 and 6 months. The
same recommendations with respect to complementary feeding were given
to parents of formula-fed infants. Formula-fed infants were stratified for sex
and randomized to receive experimental formula (EF) or standard formula
(SF) from inclusion until 6 months of age. Twins were co-randomized to the
same intervention group. The intervention was blinded to both parents and
staff until all infants had finished the intervention. Powdered formula was
distributed to families together with preparation instructions in identical
boxes marked with a code number.
Formula composition
BabySemp 1 (Semper AB, Sweden) was used as the SF, and the EF was
modified from this formula. Compared to the SF, the EF had reduced energy
(60 vs. 66 kcal/100ml) and protein (1.20 vs. 1.27 g/100 ml) densities and
was supplemented with a bovine MFGM-enriched whey concentrate
(Lacprodan MFGM-10, Arla Foods Ingredients, Viby, Denmark). MFGM
proteins constituted 4% (wt/wt) of the total protein content in the EF. The
macronutrient contents, fatty acid compositions and amino acid contents of
the formulas are shown in detail in Paper I (Tables 1 and 2).
15
Measurements and analyses
Visits were made at baseline (<2 months), 4 months, 6 months and 12
months of age. A summary of measurements at each visit is shown in Table 1.
Details of the methods used are presented in respective paper (I-V).
Analysis Baseline 4 mo 6 mo 12 mo In
paper
Anthropometrics,
blood pressure
● ● ● ● I, IV
Body fat% ● ● I
Insulin, BUN ● ● ● I
Plasma amino
acids
● ● ● I
Blood lipids,
homocysteine,
hsCRP
● ● ● ● IV
Adipokines ● IV
Faecal
calprotectin
● ● ● ● IV
Bayley-III ● I
S-IgG against
pneumococci
● III
Oral microbial
sampling
● V
Table 1. Analyses in the study presented by age at measurement.
16
Ethics
This study was approved by the Regional Ethical Review Board, Umeå,
Sweden. During inclusion, which was made by telephone with parents of
newly born infants, we were careful not to influence any breast-feeding
negatively. This was ascertained by first asking the parent an open question
about whether the infant was breast-fed or formula-fed. Parents that had
already totally stopped breast-feeding were asked to participate in the
randomized part of the study and those exclusively breast-feeding were
asked to participate in the BFR group.
Statistics
A pre-study power analysis showed that a sample size of 63 in each group
was needed to detect a difference of 0.5 SD in the primary outcomes with
80% power at the significance level of 0.05. Expected drop-out rate was 25%,
hence 80 infants was included in each group. Most analyses are presented on
an intention-to-treat basis, i.e. infants that stopped the intended
intervention or breast-feeding were kept in the study and included in
analyses. Statistical calculations were made using IBM SPSS Statistics
Version 19 (©IBM 1989, 2010) and methods are described in the respective
paper (I-V).
The sample size according to the power analysis above was chosen to have a
low risk (5%) of a type 1 error, i.e. find a difference when no difference exists.
The risk of a type 2 error, i.e. not to find a true difference, is 20%, which is
important when interpreting the results. A lack of difference is more
uncertain than any found difference.
The randomized design is powerful when comparing the EF and SF groups
since background variables are likely to be equally distributed between the
groups. Some comparisons between the formula groups are adjusted for
relevant co-variates to further ensure a causal relationship between the
intervention and outcome.
All comparisons with the BFR group are observational and as always in
observational studies, there is a risk of differences in background factors not
adequately corrected for. We chose to collect background information to
ensure to have enough information to allow comparisons in the randomized
design. Many of the comparisons with the BFR group are unadjusted
17
because we did not have enough background information for an adequate
adjustment. Other comparisons are adjusted for relevant co-variates.
18
Summary of results
Growth, macronutrient intakes and parental control of feeding (Papers I-II)
In a longitudinal analysis, the EF and SF groups did not differ significantly in
any of the growth parameter z-scores (weight, length, BMI or head
circumference). However, the BFR group differed from the combined
formula-fed (EF+SF) groups. The BFR group had higher ΔSDS for weight
and length between baseline and 6 months of age. In a cross-sectional
analysis, there were no differences between the EF and SF group in any of
the growth parameters (weight, length, BMI and head circumference) at
baseline, 4, 6 or 12 months of age. The BFR group had a higher length at
baseline compared to the formula-fed (EF+SF) groups. There were no
differences between the EF, SF or BFR groups in body fat percentage at
baseline or 4 months of age as assessed by plethysmography (PeaPod).
Mean daily intake of study formula was larger in the EF group compared to
the SF group, resulting in virtually identical energy and protein intakes from
formula in the EF and SF groups. When data on intakes of complementary
foods were added, there were still no significant differences in energy or
protein intakes between 4-6 months of age between the formula groups. The
difference in mean daily intake was attributed to larger mean formula meal
sizes between 2 and 6 months of age for the EF group. Meal frequency did
not differ significantly between the EF and SF groups.
There were no differences in fasting plasma insulin, fasting plasma glucose
or blood urea nitrogen (BUN) between the EF and SF groups, but compared
to the BFR group, the combined formula-fed (EF+SF) groups had higher
plasma insulin and BUN concentrations indicative of higher protein intake.
Parental pressure-to-eat score 12 months postpartum was lower in the
combined formula-fed (EF+SF) groups than in the BFR group. After
dichotomizing parental control scores to high and low, both high restrictive
score and high pressure-to-eat score at 12 months postpartum was
associated with infant growth parameters but not with feeding mode.
19
Cognitive, motor and verbal scores (Paper I)
Cognitive score was 4.0 (95% confidence interval: 1.1-7.0) points higher in
the EF than in the SF group. No other significant differences between the EF
and SF groups were found in the Bayley-III scales. The BFR group
performed significantly better in the cognitive domain compared to the SF
group, but not compared to the EF group. Further, the BFR group performed
better in the receptive verbal subscale compared to both formula-fed
(EF+SF) groups, even after adjustment for psychosocial background
variables.
Figure 2. Cognitive, motor and verbal scores at 12 months of age,
measured with the Bayley Scales of Infant and Toddler Development, Third
Edition, for the experimental formula (EF), standard formula (SF) and
breast-fed reference (BFR) groups.
Infections and pneumococcal antibodies (Paper III)
During the intervention, from inclusion until 6 months of age, parents of
infants fed the EF reported fewer episodes of acute otitis media (AOM)
treated with antibiotics compared to parents of infants fed the SF. The total
number of episodes of bacterial infections leading to antibiotics and viral
20
infections leading to hospitalization during the intervention was also lower
in the EF than the SF group. There were no significant differences between
the formula groups in other specific bacterial infections treated with
antibiotics or viral infections leading to hospitalization before 6 months of
age, nor between 6 and 12 months of age.
Figure 3. Proportion of infants in the experimental formula (EF),
standard formula (SF) and breast-fed reference (BFR) groups whose
parents reported bacterial infections leading to antibiotic treatment or
viral infections leading to hospitalization.
Further, the EF group reported significantly less antipyretics use during
intervention compared to the SF group. Serum concentrations of
immunoglobulins against pneumococci differed between the EF and SF
groups. The concentrations of IgG against serotypes ST1, ST5 and ST14 were
significantly lower in the EF than the SF group.
21
Figure 4. Longitudinal prevalence of antipyretics use for the infants in the
experimental formula (EF), standard formula (SF) and breast-fed reference
(BFR) groups.
Blood lipids, adipokines, homocysteine, inflammatory markers and blood pressure (Paper IV)
The mean total s-cholesterol concentration gradually reached higher levels
during the intervention in the EF group compared to the SF group, and did
not differ significantly in a cross-sectional analysis between the EF and BFR
groups at 6 or 12 months. The LDL cholesterol to HDL cholesterol (LDL:
HDL) ratio did not differ significantly between the EF and SF groups during
the intervention, but the BFR group had higher LDL: HDL ratio than both
the EF and SF groups until 6 months of age. Homocysteine levels were lower
in the EF group compared to the SF group during intervention. Adipokines
and hsCRP-levels were similar in all three groups. Fecal calprotectin was
significantly higher in the BFR group compared to the formula-fed groups at
baseline. Blood pressure did not differ between the three groups.
Gastrointestinal symptoms (Paper III)
There were no significant differences in the frequency of hard stools,
abdominal pain, vomiting or consumption of laxatives or probiotic drops
between the EF and SF groups. The BFR group had lower frequency of hard
22
stools, higher stool frequency and consumed less laxatives compared to the
formula-fed (EF+SF) groups.
Oral lactobacilli (Paper V)
Lactobacilli were cultured less often from saliva of infants in the EF group
(9%) and the SF group (5%) compared to the BFR group (34%), p<0.001.
The most prevalent lactobacillus was L. gasseri found in 88% of the
lactobacilli-positive infants. In vitro, L. gasseri bound to parotid and
submandibular saliva, the proteins salivary gp340 and MUC7, purified
MFGM and adhered to epithelial cells. Further, L. gasseri inhibited
Streptococcus mutans, Streptococcus sobrinus, Actinomyces naeslundii,
Actinomyces oris, Candida albicans and Fusobacterium nucleatum.
23
Discussion
In the present study we tested our hypotheses that feeding healthy term
infants with a novel formula with lower energy and protein concentrations
and supplemented with bovine milk fat globule membranes (MFGM) would
yield functional outcomes in different areas closer to breast-fed infants when
compared to infants fed standard formula, by use of a double-blinded
randomized controlled trial.
Energy regulation and growth
Infants fed EF fully compensated for the reduced energy and protein
concentrations and showed a growth pattern not different from infants fed
SF. This did not confirm our original hypothesis that infants fed EF would
gain less weight due to a lower energy and protein intake. Previous studies
have shown that bottle-feeding is associated with poor self-regulation of
intake (22, 24-26, 168-170). Our findings indicate, on the contrary, that
bottle-fed infants may have very precise energy regulation in the range from
60 to 66 kcal/100 ml (the range of breast milk) by adopting mean meal sizes
throughout the intervention. Further, parents of the formula-fed infants had
a low level of parental control of feeding during the first year, and even a
significantly lower pressure-to-eat score at 12 months postpartum than
parents of breast-fed infants. High parental pressure-to-eat and restrictive
scores 12 months postpartum were associated with infant growth but not
with formula-feeding. This low level of parental control differs from studies
in other populations where parents of formula-fed infants reported higher
level of parental control than parents of breast-fed infants (24, 171). The low
level of parental control in our study population might explain the
unexpected high level of self-regulation for the formula-fed infants, and
suggests that, depending on study population, changes in formula energy
concentration can be totally compensated for. In such a population, a
reduced protein: energy ratio is needed to reduce the protein intake.
The EF and SF groups did not differ in any growth parameters until 12
months of age. However, the BFR group had a slower weight and length gain
between baseline and 6 months of age compared to the combined formula-
fed groups (EF+SF). Body fat percentage did not differ significantly between
any of the groups at baseline or 4 months of age. This is well in line with
other studies on formulas with a low protein: energy ratio where no or small
differences in growth between formula-fed and breast-fed infants were found
24
(3, 172). Plasma insulin and BUN concentrations were higher in the formula-
fed than in the breast-fed infants, indicative of a higher protein intake of
formula-fed infants, in support of previous findings (173-175).
Cognitive development
We found that infants fed the EF performed better on cognitive testing at 12
months compared to infants fed the SF, and at a level similar to the BFR
group. The size of the difference in cognitive score between the EF and SF
group of 4.0 (95% CI: 1.1-7.0) points, is in the same range as the calculated
difference in cognitive function between normal-birth-weight formula-fed
and breastfed infants of 2.66 (95% CI: 2.15-3.17) points after adjusting for
socioeconomic factors in the meta-analysis of observational studies by
Anderson et al (34). On an individual basis, an improvement of 4.0 points in
cognitive score does probably not give any practical benefits, but on a group
level this effect size of the intervention is substantial and to our knowledge,
this is the first randomized controlled trial that has shown such a large
positive effect of any supplementation to infant formula on cognitive
function in term infants measured by the Bayley Scales of Infant and Toddler
Development test.
The MFGM fraction contains several components that individually have been
associated to brain development, and our interpretation is that MFGM-
supplementation has enhanced the cognitive development in the formula-fed
infants. From the present study, we cannot deduce the exact mechanism. It
could be one single responsible factor (e.g. sialic acid (44, 49), gangliosides
(43, 50, 51), sphingomyelin (42, 46, 149), choline (42, 145, 147) or
cholesterol (45, 52, 53), a combination of several factors, or it could be
different limiting factors for different infants explaining the effect size. The
EF and the SF were both supplemented with LCPUFAs to the same level, and
it is possible that there could be a synergistic effect of MFGM and LCPUFAs
on cognitive development.
Infections
Our hypothesis, that MFGM supplementation of infant formula would give a
reduction in infectious morbidity, was verified by our findings that infants
fed EF had a lower incidence of AOM and a reduced number of days with
antipyretic medication during the intervention period than infants fed SF.
25
Several components of MFGM have been described to have an antimicrobial
effect. In a proteomic characterization of human MFGM, 191 proteins were
identified of which 20% are involved in immune function (155). In bovine
MFGM, 120 different proteins were identified of which 4% have
immunological effects and 21% unknown effect (156). Further, the lipid
fraction of bovine MFGM had antiviral effect in vitro (67), and gangliosides
of the MFGM have been suggested to play an important role in the
establishment of intestinal microbiota, gut immunity, and consequently, in
the defense of infections (176). The mechanism behind the effect on AOM
seen in the present study is unclear. The differences between the EF and SF
groups in s-IgG concentrations against pneumococcal serotypes 1, 5 and 14
indicates that a possible mechanism for the protective effect against
infections is mediated by or reflected in the humoral immune system, a
difference previously shown between breast-fed and formula-fed infants
(77). Breast-feeding reduces immune responses, limits hyper-responsiveness
and promotes tolerance (74, 75). In the present study, factors in MFGM
could have an inhibiting effect on the humoral immune system yielding
lower pneumococcal s-IgG concentrations after one or two vaccine doses.
Another possible explanation could be that anti-microbial factors of the
MFGM exert a local effect on the microbiota in the upper airways in line with
numerous identified factors of breast milk (69), which might change the
humoral immune response. Growing evidence suggests a link between the
gut microbiota and the peripheral immune system (177), and anti-microbial
and immunostimulating factors from the MFGM could, by affecting the gut
microbiota, have a general effect on the immune system that affects s-IgG
concentrations against pneumococci.
Early metabolic programming
The present study shows that infants fed the EF differ in serum total
cholesterol (s-Ch) concentrations compared to infants fed the SF. By
increasing the cholesterol content of the EF, we achieved higher s-Ch,
gradually reaching the level of breast-fed infants during the intervention.
Theoretically, this could lead to a programming effect and change the
cholesterol trajectory for the EF group closer to the BFR group. Breast-fed
infants have, compared to formula-fed infants, higher cholesterol levels in
infancy, a difference that disappears during childhood to result in lower
levels in adolescence and adulthood (137).
However, it is noteworthy that the LDL: HDL ratio did not follow that of the
BFR group. In fact, the LDL: HDL ratio did not differ significantly between
26
the EF and SF group, and the BFR group had higher LDL: HDL ratio from
baseline until 6 months of age. This contrasts to the findings in a previous
study, with a smaller sample size, where infants fed a formula with high
cholesterol content showed elevated total cholesterol at 4 months of age, but
also a trend towards elevated LDL: HDL ratio compared to infants fed a low
cholesterol formula (178). The impact of early LDL: HDL ratio on any
programming effect affecting later cholesterol levels has not been studied in
infants, and a long term follow up until adolescence would be desirable.
Oral lactobacilli
Oral lactobacilli were more often found in the BFR group than the EF and SF
groups, and there was no significant difference between the EF and SF
groups. It should be noted that cultures were taken from a subsample in the
study (EF: n=47, SF: n=43 and BFR: n=43), so the study could be under-
powered for detecting a difference between the EF and SF groups. Our
results contribute to the field of microbiota and health. The colonization of
the gastrointestinal tract from the oral cavity to colon is known to be
influenced by different environmental factors including nutrition (124). The
interpersonal variability of bacterial community composition is high while
the intrapersonal variability is low (179), and the intestinal microbiota has
been suggested to contribute to health parameters in different areas, e.g.
obesity, atopic diseases, inflammatory bowel disease and intestinal cancers
(121). The health consequences of differences in the oral microbiota are less
studied. Lactobacilli are often found in caries lesions (180) but also seem to
have protective effect against caries (181). Systemic health effects could be
mediated by nitrate reducing oral bacteria that influence the concentration
of circulating nitric oxide involved in vasodilation, nerve transmission, host
defence and cellular energetics (182).
Limitations of the study
Some differences between the formula-fed groups and the BFR group, e.g.
insulin and BUN levels, were seen already at baseline. This is probably
caused by the fact that all infants in the EF and SF groups had a period of
formula feeding before inclusion. As exclusive formula-feeding was an
inclusion criterion, which was formulated to avoid affecting duration of
partial breast-feeding in a negative way, only parents of infants that already
were exclusively formula-fed were asked to participate in the study. Most
parents in all three study groups chose to introduce complementary foods in
27
the interval 4-6 months. This dilution of the intervention is a weakness of the
study leading to an underestimation of the biological effect of the nutritional
intervention, but, together with calculations on an intention-to-treat basis,
gives a picture of the effect in a population.
Another limitation of the study is the double intervention with both lowered
protein/energy content and supplementation with MFGM, with two primary
outcomes. The study was designed this way for economical and resource
reasons. We predicted that any effect on growth would be caused by the
changed energy and protein contents, and that any effect on
neurodevelopment or infections would be caused by the MFGM
supplementation. As the EF group up-regulated their ingested volumes
resulting in similar energy and protein intakes for both formula groups, the
probability that the energy or protein intervention had an effect on
neurodevelopmental outcomes or infections is low. We cannot, however,
exclude an effect of the MFGM on growth or intake.
Due to the study design with randomization between the formula groups, a
limited number of background variables were collected, and comparisons
with the BFR group should be done with caution. We have chosen to adjust
some comparisons for relevant background variables in different
multivariate models. Other comparisons were only performed unadjusted
when we judged that the collected background variables were insufficient for
an adequate adjustment.
Strengths of the study
The double-blinded randomized design of the study is a major strength
giving high validity to causal relationships of the intervention. All analyses
were done on an intention-to-treat basis, i.e. parents of infants that
interrupted the intervention before 6 months of age were asked to stay in the
study for measurements, giving the true effect of the intervention in a
population. The homogenous, high socioeconomic study population is also a
strength when assessing the true biological effect of the intervention with
little disturbance of background differences.
28
Conclusions from the present study
We have found a positive effect of MFGM supplementation of infant formula
on cognitive function, and this nutritional intervention eradicated the gap in
cognitive performance between breast-fed and formula-fed infants at 12
months of age.
Supplementation of infant formula with a bovine MFGM fraction decreased
the incidence of AOM in formula-fed infants between 0-6 months of age to a
level similar to breast-fed infants, and modulated the concentration of s-IgG
antibodies against pneumococci.
Formula-fed infants had the capacity to compensate for a reduction of
energy density from 66 to 60 kcal/100 ml by increasing ingested volumes, at
least in a population with low parental control of feeding.
Parental control of feeding was influenced by infant growth pattern. An
improved formula composition leading to an early growth similar to breast-
fed infants might influence not only metabolic programming effects, but also
patterns of parental control, and yield beneficial long term effects on growth
and metabolic status.
MFGM supplementation of infant formula might influence the higher long-
term risk of cardiovascular disease in formula-fed infants by intervening
with mechanisms of early programming. We have shown that increasing
cholesterol intake between 2 and 6 months of age leads to s-Ch similar to
breast-fed infants, but does not change the LDL: HDL ratio towards the level
of breast-fed infants.
MFGM supplementation of infant formula did not significantly change the
presence of lactobacilli in saliva of formula-fed infants, but lactobacilli were
more often present in breast-fed infants. Possible health effects of this are
unknown.
The results of the present study are of importance for future improvements
of infant formulas that should be based on differences in performance
between formula-fed and breast-fed infants (1). We found that
supplementation with MFGM narrowed the gap between formula-fed and
breast-fed infants in cognitive development and infectious morbidity, but the
results need to be confirmed by other studies. Only one dose of MFGM was
tested. If the effects would be more pronounced with a higher concentration
of MFGM remains to be studied.
29
A long-term follow-up of the present study is important. A new assessment
of cognitive function close to school-age is needed to find out if the
difference between the formula groups persists with age. Further, a long time
follow-up of growth and metabolic status during childhood, adolescence and
adulthood would further elucidate possible programming effects of this
nutritional intervention.
Future work on improvement of infant formulas
The results of the present study suggest that the MFGM fraction might be
responsible for some or all of the observed differences in cognitive
development and infectious morbidity between formula-fed and breast-fed
infants. Suggestions for future improvements of infant formulas include:
To further decrease differences in growth between formula-fed and
breast-fed infants by lowering the protein: energy ratio. The high
protein intake of formula-fed infants is still the most striking
difference in macronutrient intakes between formula-fed and breast-
fed infants. The high level of self-regulation of energy intake in the
present study indicates that moderate changes in energy density
probably have little or no effect on energy intake, at least in some
populations. Staging of infant formulas with different
macronutrient content at different ages during the first 12 months of
life would be more physiological and could help to lower the protein:
energy ratio, even if this is not allowed according to present
regulations (8).
To test the effect of MFGM supplementation of infant formula in
new randomized controlled trials in different settings to support or
contradict the findings of the present study, and to test different
concentrations of MFGM in infant formulas.
To test the effects of supplementation with other bioactive milk
fractions, preferably in combination with MFGM supplementation to
examine additive effects:
o Lactoferrin in human milk has positive effects on iron
absorption and has anti-microbial and anti-inflammatory
effects. Rice-expressed recombinant human lactoferrin has
been expressed and characterized and has been suggested as
a beneficial supplementation to infant formula (183).
Lactoferrin supplementation of very low birth-weight
premature infants reduced the risk of sepsis (184) and one
30
double-blinded, placebo-controlled pilot study has shown
that bovine lactoferrin supplementation of infant formula
fed to term infants gave a reduction in lower respiratory
tract infections during the first year and higher hematocrit
at 9 months (185).
o Bile salt-stimulated lipase (BSSL) from human milk has
antimicrobial effect in vitro (65). Supplementation of
premature infants with recombinant human BSSL improved
growth and fat absorption (186).
o Other bioactive components of human milk that are lacking or
present in a lower concentration in infant formula do not
have convincing evidence of positive health effects for
supplementation of formula-fed infants. Cytokines may give
possible beneficial effects on immunology, inflammation
and host defense (187). Transforming growth factor-beta
(TGF-β) (188), soluble CD14 (189), IL-10 (190) are examples
of cytokines where supplementation in animal models have
yielded immunological effects, but there is no support from
human studies. Numerous hormones and growth factors
have been the subject of studies. Insulin (191), IGF-1(192)
and epidermal growth factor (EGF) (193) stimulate cell
growth and maturation. Leptin, adiponectin, IGF-1, ghrelin,
obestatin and resistin are also hormones present in breast
milk but probably not in formula and have been suggested
as likely or possible hormonal mediators of metabolic
programming (194). However, there is still no evidence that
supplementation with hormones or growth factors to infants
would yield any health benefit. Differences in the
development of the intestinal flora between breast-fed and
formula-fed infants give room for a potential beneficial
supplementation with pre- or probiotics to infant formula
(195). Human milk contains probiotic bacteria and
modulation of the intestinal flora with probiotic bacteria has
been shown to affect immune function and enhance defense
against pathogens (196). One study has shown that
enrichment with Lactobacillus rhamnosus GG to infant
formula increases weight and height between 0-6 months of
age (197). Oral supplementation with prebiotic
oligosaccharides to formula-fed infants until 6 months of
age gave a reduction of allergic manifestations and
infections during the first two years of life indicating an
effect on the immune system as well as the maturation of the
intestinal flora (198). Many studies have also been
31
performed with negative results and the total body of
evidence on supplementation of infant formula with
probiotics and prebiotics is weak (199). Supplementation
with nucleotides to infant formula has been shown to give a
gut flora more similar to that of breast-fed infants with a
high proportion of Bifidobacteria (200) and to increase
head circumference during the first half-year of life (201),
but evidence of health benefits are lacking.
Possible future areas for MFGM
Preterm infants
The health benefits of breast-feeding are larger for preterm than for term
infants (34, 55), and human milk is recommended as enteral feeding for
preterm infants (202, 203). However, it is not breast-feeding, but the trans-
placental transport from the mother´s blood that is the physiological route of
delivering nutrients to the fetus. Concentrations of nutrients in the cord
blood is less examined than concentrations in breast milk, but the placental
regulation of different nutrients is of course of greatest importance for fetal
growth and development (204, 205). Factors of MFGM might be needed in
higher concentrations in the fetus or premature infant than is delivered by
breast milk and MFGM supplementation of breast milk to premature infants
could theoretically improve outcomes in different areas beyond the benefit of
breast-feeding. Possible areas where breast milk has been shown or
suggested to have a positive clinical effect and MFGM theoretically could
have an additive effect include necrotizing enterocolitis (203), brain
development (34), retinopathy of prematurity (206) and infections (207).
Further, fat intake has been shown to be positively associated with head
circumference growth in extremely preterm infants (208), and components
from MFGM could be involved.
Acquired brain lesions
The positive effect of MFGM on cognitive development suggested by our
results suggests that MFGM may be used to enhance neurodevelopment in
other situations. A number of different dietary factors have been tested for
injury recovery after acquired lesions in the central nervous system (209),
and MFGM could be of interest as supportive in the healing process after
32
traumatic, vascular, inflammatory, malignant or iatrogenic injuries in the
central nervous system.
33
Acknowledgements
Even if my name is on the front page, research is, like most other areas in
life, a team work. I would like to express my greatest gratitude to …
All participating infants and their families for your contributions for
the possible benefit for future generations.
Magnus Domellöf, my main supervisor, for helping me to discover the joy
of science, for giving me responsibility, and for your never-ending
enthusiasm and believe that everything is possible.
Olle Hernell, my co-supervisor, for your dedicated work in all aspects of
the study, for sharing your great experience in the field, and for always
having time for discussions.
Bo Lönnerdal, my co-supervisor, for your invaluable contributions to the
study, for always being supportive, for helping me to improve my written
English, and for being present despite your geographical position on the
other side of the Atlantic Ocean.
Carina Forslund, research nurse and TUMME queen, for your enthusiasm
and devotion for the study, for giving the infants and parents personal and
professional support, and for your company and cooperation during the
study. Camilla Steinwall-Lindberg, research nurse, for your invaluable
contribution during part of the study.
Yvonne Andersson, Carina Lagerqvist, Catarina Lundell and the
rest of the staff at the Pediatriklab for analyses, preparations and
storing of the samples, for the best cooperation and for help with economical
and biobank issues.
Erik Domellöf for sharing your knowledge on psychological development,
for great cooperation and for excellent Bayley-testing together with Frida
Tunlind, Linda Leek and Kalle Hörnström.
Catharina Tennefors and Lars-Börje Sjöberg, Semper AB, for
professional and friendly cooperation during the entire study.
Outi Vaarala and Merit Melin for immunological input and analyses.
Nelly Romani Vestman, Pernilla Lif Holgerson, Carina Öhman,
Ingegerd Johansson and the rest of the co-workers in the oral lactobacilli-
part of the study.
Karin Moström, Elisabeth Torstensson, Carina Jonsson and Ulla
Norman for keeping everything, even PhD students, in order.
All other researchers and staff at the Unit for Pediatrics for great
company, a friendly atmosphere and the 9.30 fika.
Staffan Berglund, Jenny Alenius Dahlqvist, Elisabeth Stoltz-
Sjöström, Frida Karlsson Videhult, the PhD group at the department of
clinical sciences and all other fellow PhD students during the years for nice
34
moments during courses, journal clubs, seminars, PhD weeks and the 14.30
fika.
Erik Bergström and Per-Erik Sandström, heads of the Pediatric clinic
for understanding the dilemma of combinating clinical work and research.
All my colleagues at the Pediatric clinic and the Kolbäcken
habilitation center for a good working place.
Olof, Torbjörn, Mattias, Antti, Staffan, Frans, Lasse, Mats, Johan
Magnus, Magnus, Kjell and Anders, the curling team, for sharing wins
and losses, takes and draws, beer and gurka.
My parents Lena and Björn and my parents-in-law Anita and Lasse for
all support.
My beloved family Erika, Otto and Moa, you are the best.
The study was funded by grants from Sweden´s Innovation Agency (Vinnova), the Västerbotten County Council and Semper AB.
35
References
1. Aggett PJ, Agostini C, Goulet O, Hernell O, Koletzko B, Lafeber HL, Michaelsen KF, Rigo J, Weaver LT. The nutritional and safety assessment of breast milk substitutes and other dietary products for infants: a commentary by the ESPGHAN Committee on Nutrition. Journal of pediatric gastroenterology and nutrition 2001;32(3):256-8.
2. Heinig MJ, Nommsen LA, Peerson JM, Lonnerdal B, Dewey KG.
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. The American journal of clinical nutrition 1993;58(2):152-61.
3. Koletzko B, von Kries R, Closa R, Escribano J, Scaglioni S, Giovannini M, Beyer J, Demmelmair H, Gruszfeld D, Dobrzanska A, et al. Lower protein in infant formula is associated with lower weight up to age 2 y: a randomized clinical trial. The American journal of clinical nutrition 2009;89(6):1836-45.
4. Agostoni C, Scaglioni S, Ghisleni D, Verduci E, Giovannini M, Riva E. How much protein is safe? Int J Obes (Lond) 2005;29 Suppl 2:S8-13.
5. Scaglioni S, Agostoni C, Notaris RD, Radaelli G, Radice N, Valenti
M, Giovannini M, Riva E. Early macronutrient intake and overweight at five years of age. International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity 2000;24(6):777-81.
6. Ohlund I, Hernell O, Hornell A, Stenlund H, Lind T. BMI at 4 years of age is associated with previous and current protein intake and with paternal BMI. European journal of clinical nutrition 2010;64(2):138-45.
7. Koletzko B, Baker S, Cleghorn G, Neto UF, Gopalan S, Hernell O, Hock QS, Jirapinyo P, Lonnerdal B, Pencharz P, et al. Global standard for the composition of infant formula: recommendations of an ESPGHAN coordinated international expert group. Journal of pediatric gastroenterology and nutrition 2005;41(5):584-99.
8. The European Union: Commission Directive 2006/141/EC of 22
December 2006 on infant formulae and follow-on formulae and
36
amending Directive 1999/21/EC. Official Journal of the European Union, 2006:1-33.
9. Life Sciences Research Office Report: Assessment of nutrient
requirements for infant formulas. The Journal of nutrition 1998;128(11 Suppl):i-iv, 2059S-293S.
10. World Health Organization and Food and Agriculture Organization of the United Nations: Codex Alimentarius: Standard for Infant Formula and Formulas for Special Medical Purposes Intended for Infants. 2011. Internet: http://www.codexalimentarius.org/download/standards/288/CXS_072e.pdf (accessed 1 June 2013).
11. United States Department of Agriculture Food and Nutrition Service: The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). 01/01/2013. Internet: http://www.fns.usda.gov/wic/lawsandregulations/WICRegulations-7CFR246.pdf (accessed 20 June 2013).
12. Hester SN, Hustead DS, Mackey AD, Singhal A, Marriage BJ. Is the
macronutrient intake of formula-fed infants greater than breast-fed infants in early infancy? Journal of nutrition and metabolism 2012;2012:891201.
13. Garza C, Butte NF. Energy intakes of human milk-fed infants during the first year. The Journal of pediatrics 1990;117(2 Pt 2):S124-31.
14. de Bruin NC, Degenhart HJ, Gal S, Westerterp KR, Stijnen T, Visser HK. Energy utilization and growth in breast-fed and formula-fed infants measured prospectively during the first year of life. The American journal of clinical nutrition 1998;67(5):885-96.
15. Fox MK, Devaney B, Reidy K, Razafindrakoto C, Ziegler P.
Relationship between portion size and energy intake among infants and toddlers: evidence of self-regulation. Journal of the American Dietetic Association 2006;106(1 Suppl 1):S77-83.
16. Pridham K, Kosorok MR, Greer F, Carey P, Kayata S, Sondel S. The effects of prescribed versus ad libitum feedings and formula caloric density on premature infant dietary intake and weight gain. Nursing research 1999;48(2):86-93.
17. Fomon SJ, Filmer LJ, Jr., Thomas LN, Anderson TA, Nelson SE. Influence of formula concentration on caloric intake and growth of normal infants. Acta paediatrica Scandinavica 1975;64(2):172-81.
37
18. Fomon SJ, Filer LJ, Ziegler EE, Bergmann KE, Bergmann RL. Skim milk in infant feeding. Acta paediatrica Scandinavica 1977;66(1):17-30.
19. Wright CM, Parkinson KN, Drewett RF. How does maternal and
child feeding behavior relate to weight gain and failure to thrive? Data from a prospective birth cohort. Pediatrics 2006;117(4):1262-9.
20. Darlington AS, Wright CM. The influence of temperament on weight gain in early infancy. J Dev Behav Pediatr 2006;27(4):329-35.
21. da Costa TH, Haisma H, Wells JC, Mander AP, Whitehead RG, Bluck LJ. How much human milk do infants consume? Data from 12 countries using a standardized stable isotope methodology. The Journal of nutrition 2010;140(12):2227-32.
22. Sievers E, Oldigs HD, Santer R, Schaub J. Feeding patterns in
breast-fed and formula-fed infants. Annals of nutrition & metabolism 2002;46(6):243-8.
23. Li R, Fein SB, Grummer-Strawn LM. Do infants fed from bottles lack self-regulation of milk intake compared with directly breastfed infants? Pediatrics;125(6):e1386-93.
24. Taveras EM, Scanlon KS, Birch L, Rifas-Shiman SL, Rich-Edwards JW, Gillman MW. Association of breastfeeding with maternal control of infant feeding at age 1 year. Pediatrics 2004;114(5):e577-83.
25. Farrow C, Blissett J. Does maternal control during feeding moderate
early infant weight gain? Pediatrics 2004;118:e293-e8.
26. Taveras EM, Rifas-Shiman SL, Scanlon KS, Grummer-Strawn LM, Sherry B, Gillman MW. To what extent is the protective effect of breastfeeding on future overweight explained by decreased maternal feeding restriction? Pediatrics 2006;118(6):2341-8.
27. Weaver IC, Cervoni N, Champagne FA, D'Alessio AC, Sharma S, Seckl JR, Dymov S, Szyf M, Meaney MJ. Epigenetic programming by maternal behavior. Nat Neurosci 2004;7(8):847-54.
28. Ventura AK, Beauchamp GK, Mennella JA. Infant regulation of
intake: the effect of free glutamate content in infant formulas. The American journal of clinical nutrition 2012;95(4):875-81.
38
29. Faldella G, Aceti A, Corvaglia L. Formula milk and neurodevelopmental and cognitive outcomes: where are we now? Early human development 2011;87 Suppl 1:S5-8.
30. Georgieff MK. Nutrition and the developing brain: nutrient priorities
and measurement. The American journal of clinical nutrition 2007;85(2):614S-20S.
31. Wainwright PE, Colombo J. Nutrition and the development of cognitive functions: interpretation of behavioral studies in animals and human infants. The American journal of clinical nutrition 2006;84(5):961-70.
32. Isaacs EB, Fischl BR, Quinn BT, Chong WK, Gadian DG, Lucas A. Impact of breast milk on IQ, brain size and white matter development. Pediatric research 2009.
33. Jing H, Gilchrist JM, Badger TM, Pivik RT. A longitudinal study of
differences in electroencephalographic activity among breastfed, milk formula-fed, and soy formula-fed infants during the first year of life. Early human development;86(2):119-25.
34. Anderson JW, Johnstone BM, Remley DT. Breast-feeding and cognitive development: a meta-analysis. The American journal of clinical nutrition 1999;70(4):525-35.
35. Uauy R, Peirano P. Breast is best: human milk is the optimal food for brain development. The American journal of clinical nutrition 1999;70(4):433-4.
36. Rey J. Breastfeeding and cognitive development. Acta Paediatr
Suppl 2003;92(442):11-8.
37. Lucas A, Morley R, Cole TJ, Gore SM. A randomised multicentre study of human milk versus formula and later development in preterm infants. Archives of disease in childhood Fetal and neonatal edition 1994;70(2):F141-6.
38. Kramer MS, Aboud F, Mironova E, Vanilovich I, Platt RW, Matush L, Igumnov S, Fombonne E, Bogdanovich N, Ducruet T, et al. Breastfeeding and child cognitive development: new evidence from a large randomized trial. Arch Gen Psychiatry 2008;65(5):578-84.
39
39. Simmer K, Patole SK, Rao SC. Long-chain polyunsaturated fatty acid supplementation in infants born at term. Cochrane Database Syst Rev 2011(12):CD000376.
40. Schulzke SM, Patole SK, Simmer K. Long-chain polyunsaturated
fatty acid supplementation in preterm infants. Cochrane Database Syst Rev 2011(2):CD000375.
41. Singhal A, Morley R, Cole TJ, Kennedy K, Sonksen P, Isaacs E, Fewtrell M, Elias-Jones A, Stephenson T, Lucas A. Infant nutrition and stereoacuity at age 4-6 y. The American journal of clinical nutrition 2007;85(1):152-9.
42. Zeisel SH, Char D, Sheard NF. Choline, phosphatidylcholine and sphingomyelin in human and bovine milk and infant formulas. The Journal of nutrition 1986;116(1):50-8.
43. Pan XL, Izumi T. Variation of the ganglioside compositions of
human milk, cow's milk and infant formulas. Early human development 2000;57(1):25-31.
44. Wang B, Brand-Miller J, McVeagh P, Petocz P. Concentration and distribution of sialic acid in human milk and infant formulas. The American journal of clinical nutrition 2001;74(4):510-5.
45. Wong WW, Hachey DL, Insull W, Opekun AR, Klein PD. Effect of dietary cholesterol on cholesterol synthesis in breast-fed and formula-fed infants. Journal of lipid research 1993;34(8):1403-11.
46. Tanaka K, Hosozawa M, Kudo N, Yoshikawa N, Hisata K, Shoji H,
Shinohara K, Shimizu T. The pilot study: sphingomyelin-fortified milk has a positive association with the neurobehavioural development of very low birth weight infants during infancy, randomized control trial. Brain & development 2013;35(1):45-52.
47. Zeisel SH, Niculescu MD. Perinatal choline influences brain structure and function. Nutrition reviews 2006;64(4):197-203.
48. Wang B, Brand-Miller J. The role and potential of sialic acid in human nutrition. European journal of clinical nutrition 2003;57(11):1351-69.
49. Wang B, Yu B, Karim M, Hu H, Sun Y, McGreevy P, Petocz P, Held
S, Brand-Miller J. Dietary sialic acid supplementation improves
40
learning and memory in piglets. The American journal of clinical nutrition 2007;85(2):561-9.
50. McJarrow P, Schnell N, Jumpsen J, Clandinin T. Influence of dietary
gangliosides on neonatal brain development. Nutrition reviews 2009;67(8):451-63.
51. Gurnida DA, Rowan AM, Idjradinata P, Muchtadi D, Sekarwana N. Association of complex lipids containing gangliosides with cognitive development of 6-month-old infants. Early human development 2012.
52. Haque ZU, Mozaffar Z. Importance of dietary cholesterol for the maturation of mouse brain myelin. Bioscience, biotechnology, and biochemistry 1992;56(8):1351-4.
53. Elias PK, Elias MF, D'Agostino RB, Sullivan LM, Wolf PA. Serum
cholesterol and cognitive performance in the Framingham Heart Study. Psychosomatic medicine 2005;67(1):24-30.
54. Lozoff B, Castillo M, Clark KM, Smith JB. Iron-fortified vs low-iron infant formula: developmental outcome at 10 years. Archives of pediatrics & adolescent medicine 2012;166(3):208-15.
55. Agostoni C, Braegger C, Decsi T, Kolacek S, Koletzko B, Michaelsen KF, Mihatsch W, Moreno LA, Puntis J, Shamir R, et al. Breast-feeding: A commentary by the ESPGHAN Committee on Nutrition. Journal of pediatric gastroenterology and nutrition 2009;49(1):112-25.
56. Wright AL, Holberg CJ, Martinez FD, Morgan WJ, Taussig LM.
Breast feeding and lower respiratory tract illness in the first year of life. Group Health Medical Associates. BMJ 1989;299(6705):946-9.
57. Duncan B, Ey J, Holberg CJ, Wright AL, Martinez FD, Taussig LM. Exclusive breast-feeding for at least 4 months protects against otitis media. Pediatrics 1993;91(5):867-72.
58. Aniansson G, Alm B, Andersson B, Hakansson A, Larsson P, Nylen O, Peterson H, Rigner P, Svanborg M, Sabharwal H, et al. A prospective cohort study on breast-feeding and otitis media in Swedish infants. Pediatr Infect Dis J 1994;13(3):183-8.
41
59. Dewey KG, Heinig MJ, Nommsen-Rivers LA. Differences in morbidity between breast-fed and formula-fed infants. The Journal of pediatrics 1995;126(5 Pt 1):696-702.
60. Wright AL, Bauer M, Naylor A, Sutcliffe E, Clark L. Increasing
breastfeeding rates to reduce infant illness at the community level. Pediatrics 1998;101(5):837-44.
61. Lonnerdal B. Nutritional and physiologic significance of human milk proteins. The American journal of clinical nutrition 2003;77(6):1537S-43S.
62. Andersson Y, Lindquist S, Lagerqvist C, Hernell O. Lactoferrin is responsible for the fungistatic effect of human milk. Early human development 2000;59(2):95-105.
63. Stromqvist M, Falk P, Bergstrom S, Hansson L, Lonnerdal B,
Normark S, Hernell O. Human milk kappa-casein and inhibition of Helicobacter pylori adhesion to human gastric mucosa. Journal of pediatric gastroenterology and nutrition 1995;21(3):288-96.
64. Vidal K, van den Broek P, Lorget F, Donnet-Hughes A. Osteoprotegerin in human milk: a potential role in the regulation of bone metabolism and immune development. Pediatric research 2004;55(6):1001-8.
65. Naarding MA, Dirac AM, Ludwig IS, Speijer D, Lindquist S, Vestman EL, Stax MJ, Geijtenbeek TB, Pollakis G, Hernell O, et al. Bile salt-stimulated lipase from human milk binds DC-SIGN and inhibits human immunodeficiency virus type 1 transfer to CD4+ T cells. Antimicrob Agents Chemother 2006;50(10):3367-74.
66. Dai D, Nanthkumar NN, Newburg DS, Walker WA. Role of
oligosaccharides and glycoconjugates in intestinal host defense. Journal of pediatric gastroenterology and nutrition 2000;30 Suppl 2:S23-33.
67. Fuller KL, Kuhlenschmidt TB, Kuhlenschmidt MS, Jimenez-Flores R, Donovan SM. Milk fat globule membrane isolated from buttermilk or whey cream and their lipid components inhibit infectivity of rotavirus in vitro. Journal of dairy science 2013;96(6):3488-97.
68. Hernell O, Ward H, Blackberg L, Pereira ME. Killing of Giardia lamblia by human milk lipases: an effect mediated by lipolysis of milk lipids. The Journal of infectious diseases 1986;153(4):715-20.
42
69. Hanson LA, Ahlstedt S, Andersson B, Carlsson B, Fallstrom SP, Mellander L, Porras O, Soderstrom T, Eden CS. Protective factors in milk and the development of the immune system. Pediatrics 1985;75(1 Pt 2):172-6.
70. Newburg DS. Glycobiology of human milk. Biochemistry Biokhimiia
2013;78(7):771-85.
71. Goldman AS. The immune system in human milk and the developing infant. Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine 2007;2(4):195-204.
72. Garofalo R. Cytokines in human milk. The Journal of pediatrics 2010;156(2 Suppl):S36-40.
73. West CE, D'Vaz N, Prescott SL. Dietary immunomodulatory factors
in the development of immune tolerance. Current allergy and asthma reports 2011;11(4):325-33.
74. Belderbos ME, Houben ML, van Bleek GM, Schuijff L, van Uden NO, Bloemen-Carlier EM, Kimpen JL, Eijkemans MJ, Rovers M, Bont LJ. Breastfeeding modulates neonatal innate immune responses: a prospective birth cohort study. Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology 2012;23(1):65-74.
75. Kainonen E, Rautava S, Isolauri E. Immunological programming by breast milk creates an anti-inflammatory cytokine milieu in breast-fed infants compared to formula-fed infants. The British journal of nutrition 2013;109(11):1962-70.
76. Pabst HF, Spady DW, Pilarski LM, Carson MM, Beeler JA, Krezolek
MP. Differential modulation of the immune response by breast- or formula-feeding of infants. Acta Paediatr 1997;86(12):1291-7.
77. Silfverdal SA, Ekholm L, Bodin L. Breastfeeding enhances the antibody response to Hib and Pneumococcal serotype 6B and 14 after vaccination with conjugate vaccines. Vaccine 2007;25(8):1497-502.
78. Knip M, Virtanen SM, Akerblom HK. Infant feeding and the risk of type 1 diabetes. The American journal of clinical nutrition;91(5):1506S-13S.
43
79. Ivarsson A, Hernell O, Stenlund H, Persson LA. Breast-feeding protects against celiac disease. The American journal of clinical nutrition 2002;75(5):914-21.
80. Barker DJ, Winter PD, Osmond C, Margetts B, Simmonds SJ.
Weight in infancy and death from ischaemic heart disease. Lancet 1989;2(8663):577-80.
81. Barker DJ. Fetal origins of coronary heart disease. BMJ 1995;311(6998):171-4.
82. Hales CN, Barker DJ. Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Diabetologia 1992;35(7):595-601.
83. Hattersley AT, Tooke JE. The fetal insulin hypothesis: an alternative
explanation of the association of low birthweight with diabetes and vascular disease. Lancet 1999;353(9166):1789-92.
84. Painter RC, Roseboom TJ, Bleker OP. Prenatal exposure to the Dutch famine and disease in later life: an overview. Reprod Toxicol 2005;20(3):345-52.
85. Ravelli AC, van der Meulen JH, Michels RP, Osmond C, Barker DJ, Hales CN, Bleker OP. Glucose tolerance in adults after prenatal exposure to famine. Lancet 1998;351(9097):173-7.
86. Kyle UG, Pichard C. The Dutch Famine of 1944-1945: a
pathophysiological model of long-term consequences of wasting disease. Current opinion in clinical nutrition and metabolic care 2006;9(4):388-94.
87. Painter RC, Osmond C, Gluckman P, Hanson M, Phillips DI, Roseboom TJ. Transgenerational effects of prenatal exposure to the Dutch famine on neonatal adiposity and health in later life. BJOG 2008;115(10):1243-9.
88. Eriksson JG, Forsen T, Tuomilehto J, Winter PD, Osmond C, Barker DJ. Catch-up growth in childhood and death from coronary heart disease: longitudinal study. BMJ 1999;318(7181):427-31.
89. Fewtrell MS, Doherty C, Cole TJ, Stafford M, Hales CN, Lucas A.
Effects of size at birth, gestational age and early growth in preterm infants on glucose and insulin concentrations at 9-12 years. Diabetologia 2000;43(6):714-7.
44
90. Baird J, Fisher D, Lucas P, Kleijnen J, Roberts H, Law C. Being big or growing fast: systematic review of size and growth in infancy and later obesity. BMJ 2005;331(7522):929.
91. Law CM, Shiell AW, Newsome CA, Syddall HE, Shinebourne EA,
Fayers PM, Martyn CN, de Swiet M. Fetal, infant, and childhood growth and adult blood pressure: a longitudinal study from birth to 22 years of age. Circulation 2002;105(9):1088-92.
92. Singhal A, Cole TJ, Fewtrell M, Kennedy K, Stephenson T, Elias-Jones A, Lucas A. Promotion of faster weight gain in infants born small for gestational age: is there an adverse effect on later blood pressure? Circulation 2007;115(2):213-20.
93. Singhal A, Cole TJ, Fewtrell M, Deanfield J, Lucas A. Is slower early growth beneficial for long-term cardiovascular health? Circulation 2004;109(9):1108-13.
94. Singhal A, Lucas A. Early origins of cardiovascular disease: is there a
unifying hypothesis? Lancet 2004;363(9421):1642-5.
95. Ludwig DS, Currie J. The association between pregnancy weight gain and birthweight: a within-family comparison. Lancet;376(9745):984-90.
96. Wells JC. Historical cohort studies and the early origins of disease hypothesis: making sense of the evidence. Proc Nutr Soc 2009;68(2):179-88.
97. Cottrell EC, Ozanne SE. Developmental programming of energy
balance and the metabolic syndrome. Proc Nutr Soc 2007;66(2):198-206.
98. Burdge GC, Hanson MA, Slater-Jefferies JL, Lillycrop KA. Epigenetic regulation of transcription: a mechanism for inducing variations in phenotype (fetal programming) by differences in nutrition during early life? The British journal of nutrition 2007;97(6):1036-46.
99. Bouret SG. Early life origins of obesity: role of hypothalamic programming. Journal of pediatric gastroenterology and nutrition 2009;48 Suppl 1:S31-8.
100. Jaquet D, Deghmoun S, Chevenne D, Collin D, Czernichow P, Levy-
Marchal C. Dynamic change in adiposity from fetal to postnatal life
45
is involved in the metabolic syndrome associated with reduced fetal growth. Diabetologia 2005;48(5):849-55.
101. Dulloo AG. Regulation of fat storage via suppressed thermogenesis:
a thrifty phenotype that predisposes individuals with catch-up growth to insulin resistance and obesity. Horm Res 2006;65 Suppl 3:90-7.
102. Mendall MA, Patel P, Asante M, Ballam L, Morris J, Strachan DP, Camm AJ, Northfield TC. Relation of serum cytokine concentrations to cardiovascular risk factors and coronary heart disease. Heart 1997;78(3):273-7.
103. Hansson GK. Inflammation, atherosclerosis, and coronary artery disease. N Engl J Med 2005;352(16):1685-95.
104. Groner JA, Joshi M, Bauer JA. Pediatric precursors of adult
cardiovascular disease: noninvasive assessment of early vascular changes in children and adolescents. Pediatrics 2006;118(4):1683-91.
105. Diaz JJ, Arguelles J, Malaga I, Perillan C, Dieguez A, Vijande M, Malaga S. C-reactive protein is elevated in the offspring of parents with essential hypertension. Arch Dis Child 2007;92(4):304-8.
106. Tonstad S, Joakimsen O, Stensland-Bugge E, Leren TP, Ose L, Russell D, Bonaa KH. Risk factors related to carotid intima-media thickness and plaque in children with familial hypercholesterolemia and control subjects. Arterioscler Thromb Vasc Biol 1996;16(8):984-91.
107. Franco MC, Higa EM, D'Almeida V, de Sousa FG, Sawaya AL, Fortes
ZB, Sesso R. Homocysteine and nitric oxide are related to blood pressure and vascular function in small-for-gestational-age children. Hypertension 2007;50(2):396-402.
108. Freedman DS, Dietz WH, Srinivasan SR, Berenson GS. The relation of overweight to cardiovascular risk factors among children and adolescents: the Bogalusa Heart Study. Pediatrics 1999;103(6 Pt 1):1175-82.
109. Tenhola S, Todorova B, Jaaskelainen J, Janne OA, Raivio T, Voutilainen R. Serum glucocorticoids and adiponectin associate with insulin resistance in children born small for gestational age. Eur J Endocrinol;162(3):551-7.
46
110. Chandola T, Brunner E, Marmot M. Chronic stress at work and the metabolic syndrome: prospective study. BMJ 2006;332(7540):521-5.
111. Brunner EJ, Hemingway H, Walker BR, Page M, Clarke P, Juneja M,
Shipley MJ, Kumari M, Andrew R, Seckl JR, et al. Adrenocortical, autonomic, and inflammatory causes of the metabolic syndrome: nested case-control study. Circulation 2002;106(21):2659-65.
112. Kelly AS, Steinberger J, Kaiser DR, Olson TP, Bank AJ, Dengel DR. Oxidative stress and adverse adipokine profile characterize the metabolic syndrome in children. J Cardiometab Syndr 2006;1(4):248-52.
113. Taittonen L, Uhari M, Nuutinen M, Turtinen J, Pokka T, Akerblom HK. Insulin and blood pressure among healthy children. Cardiovascular risk in young Finns. Am J Hypertens 1996;9(3):194-9.
114. Sun SS, Grave GD, Siervogel RM, Pickoff AA, Arslanian SS, Daniels
SR. Systolic blood pressure in childhood predicts hypertension and metabolic syndrome later in life. Pediatrics 2007;119(2):237-46.
115. Ikemoto Y, Teraguchi M, Kobayashi Y. Plasma levels of nitrate in congenital heart disease: comparison with healthy children. Pediatr Cardiol 2002;23(2):132-6.
116. Hord NG, Tang Y, Bryan NS. Food sources of nitrates and nitrites: the physiologic context for potential health benefits. The American journal of clinical nutrition 2009;90(1):1-10.
117. Doel JJ, Benjamin N, Hector MP, Rogers M, Allaker RP. Evaluation
of bacterial nitrate reduction in the human oral cavity. Eur J Oral Sci 2005;113(1):14-9.
118. Gunes T, Koklu E, Yikilmaz A, Ozturk MA, Akcakus M, Kurtoglu S, Coskun A, Koklu S. Influence of maternal smoking on neonatal aortic intima-media thickness, serum IGF-I and IGFBP-3 levels. European journal of pediatrics 2007;166(10):1039-44.
119. Wunsch R, de Sousa G, Toschke AM, Reinehr T. Intima-media thickness in obese children before and after weight loss. Pediatrics 2006;118(6):2334-40.
47
120. Kalliomaki M, Collado MC, Salminen S, Isolauri E. Early differences in fecal microbiota composition in children may predict overweight. The American journal of clinical nutrition 2008;87(3):534-8.
121. Mai V, Draganov PV. Recent advances and remaining gaps in our
knowledge of associations between gut microbiota and human health. World J Gastroenterol 2009;15(1):81-5.
122. Backhed F. Changes in intestinal microflora in obesity: cause or consequence? Journal of pediatric gastroenterology and nutrition 2009;48 Suppl 2:S56-7.
123. Holgerson PL, Vestman NR, Claesson R, Ohman C, Domellof M, Tanner AC, Hernell O, Johansson I. Oral microbial profile discriminates breast-fed from formula-fed infants. Journal of pediatric gastroenterology and nutrition 2013;56(2):127-36.
124. Adlerberth I, Wold AE. Establishment of the gut microbiota in
Western infants. Acta Paediatr 2009;98(2):229-38.
125. Hong Y, Pedersen NL, Brismar K, de Faire U. Genetic and environmental architecture of the features of the insulin-resistance syndrome. Am J Hum Genet 1997;60(1):143-52.
126. Pankow JS, Jacobs DR, Jr., Steinberger J, Moran A, Sinaiko AR. Insulin resistance and cardiovascular disease risk factors in children of parents with the insulin resistance (metabolic) syndrome. Diabetes care 2004;27(3):775-80.
127. Bao W, Srinivasan SR, Valdez R, Greenlund KJ, Wattigney WA,
Berenson GS. Longitudinal changes in cardiovascular risk from childhood to young adulthood in offspring of parents with coronary artery disease: the Bogalusa Heart Study. JAMA : the journal of the American Medical Association 1997;278(21):1749-54.
128. Leduc L, Levy E, Bouity-Voubou M, Delvin E. Fetal programming of atherosclerosis: possible role of the mitochondria. Eur J Obstet Gynecol Reprod Biol;149(2):127-30.
129. Ong KK, Dunger DB. Birth weight, infant growth and insulin resistance. Eur J Endocrinol 2004;151 Suppl 3:U131-9.
130. Elks CE, Loos RJ, Sharp SJ, Langenberg C, Ring SM, Timpson NJ,
Ness AR, Davey Smith G, Dunger DB, Wareham NJ, et al. Genetic
48
markers of adult obesity risk are associated with greater early infancy weight gain and growth. PLoS Med;7(5):e1000284.
131. Baird J, Poole J, Robinson S, Marriott L, Godfrey K, Cooper C,
Inskip H, Law C. Milk feeding and dietary patterns predict weight and fat gains in infancy. Paediatr Perinat Epidemiol 2008;22(6):575-86.
132. Dewey KG. Growth characteristics of breast-fed compared to formula-fed infants. Biology of the neonate 1998;74(2):94-105.
133. Harder T, Bergmann R, Kallischnigg G, Plagemann A. Duration of breastfeeding and risk of overweight: a meta-analysis. American journal of epidemiology 2005;162(5):397-403.
134. Owen CG, Martin RM, Whincup PH, Smith GD, Cook DG. Does
breastfeeding influence risk of type 2 diabetes in later life? A quantitative analysis of published evidence. The American journal of clinical nutrition 2006;84(5):1043-54.
135. Owen CG, Martin RM, Whincup PH, Smith GD, Cook DG. Effect of infant feeding on the risk of obesity across the life course: a quantitative review of published evidence. Pediatrics 2005;115(5):1367-77.
136. Owen CG, Whincup PH, Gilg JA, Cook DG. Effect of breast feeding in infancy on blood pressure in later life: systematic review and meta-analysis. BMJ 2003;327(7425):1189-95.
137. Owen CG, Whincup PH, Odoki K, Gilg JA, Cook DG. Infant feeding
and blood cholesterol: a study in adolescents and a systematic review. Pediatrics 2002;110(3):597-608.
138. Labayen I, Ruiz JR, Ortega FB, Loit HM, Harro J, Villa I, Veidebaum T, Sjostrom M. Exclusive breastfeeding duration and cardiorespiratory fitness in children and adolescents. The American journal of clinical nutrition 2012;95(2):498-505.
139. Verier CM, Duhamel A, Beghin L, Diaz LE, Warnberg J, Marcos A, Gomez-Martinez S, Manios Y, De Henauw S, Sjostrom M, et al. Breastfeeding in Infancy Is Not Associated with Inflammatory Status in Healthy Adolescents. The Journal of nutrition.
140. Kanno C. Secretory membranes of the lactating mammary gland.
Protoplasma 1990;159(2-3):184-208.
49
141. Mather IH, Keenan TW. Origin and secretion of milk lipids. J Mammary Gland Biol Neoplasia 1998;3(3):259-73.
142. Holmes-McNary MQ, Cheng WL, Mar MH, Fussell S, Zeisel SH.
Choline and choline esters in human and rat milk and in infant formulas. The American journal of clinical nutrition 1996;64(4):572-6.
143. Fisher MC, Zeisel SH, Mar MH, Sadler TW. Inhibitors of choline uptake and metabolism cause developmental abnormalities in neurulating mouse embryos. Teratology 2001;64(2):114-22.
144. Shaw GM, Carmichael SL, Yang W, Selvin S, Schaffer DM. Periconceptional dietary intake of choline and betaine and neural tube defects in offspring. American journal of epidemiology 2004;160(2):102-9.
145. Wu BT, Dyer RA, King DJ, Richardson KJ, Innis SM. Early second
trimester maternal plasma choline and betaine are related to measures of early cognitive development in term infants. PloS one 2012;7(8):e43448.
146. Zeisel SH. Choline: an essential nutrient for humans. Nutrition 2000;16(7-8):669-71.
147. Zeisel SH. The fetal origins of memory: the role of dietary choline in optimal brain development. The Journal of pediatrics 2006;149(5 Suppl):S131-6.
148. Wymann MP, Schneiter R. Lipid signalling in disease. Nat Rev Mol
Cell Biol 2008;9(2):162-76.
149. Oshida K, Shimizu T, Takase M, Tamura Y, Yamashiro Y. Effects of dietary sphingomyelin on central nervous system myelination in developing rats. Pediatric research 2003;53(4):589-93.
150. Motouri M, Matsuyama H, Yamamura J, Tanaka M, Aoe S, Iwanaga T, Kawakami H. Milk sphingomyelin accelerates enzymatic and morphological maturation of the intestine in artificially reared rats. Journal of pediatric gastroenterology and nutrition 2003;36(2):241-7.
151. Nyberg L, Duan RD, Nilsson A. A mutual inhibitory effect on
absorption of sphingomyelin and cholesterol. J Nutr Biochem 2000;11(5):244-9.
50
152. Noh SK, Koo SI. Milk sphingomyelin is more effective than egg sphingomyelin in inhibiting intestinal absorption of cholesterol and fat in rats. The Journal of nutrition 2004;134(10):2611-6.
153. Sanchez-Juanes, Martinez-Cue, Rueda, Rodriguez-Palmero,
Puigjaner, Hueso, Garcia-Fuentes, Rivero. Effects of dietary supplementation with milk-fat globule membrane components and polyunsaturated fatty acids on plasma, mucosa and brain composition in a murine model. ESPGHAN. Stockholm, 2012.
154. Bezelgues JB, Morgan F, Palomo G, Crosset-Perrotin L, Ducret P. Short communication: Milk fat globule membrane as a potential delivery system for liposoluble nutrients. Journal of dairy science 2009;92(6):2524-8.
155. Liao Y, Alvarado R, Phinney B, Lonnerdal B. Proteomic characterization of human milk fat globule membrane proteins during a 12 month lactation period. J Proteome Res 2011;10(8):3530-41.
156. Reinhardt TA, Lippolis JD. Bovine milk fat globule membrane
proteome. J Dairy Res 2006;73(4):406-16.
157. Spitsberg VL. Invited review: Bovine milk fat globule membrane as a potential nutraceutical. Journal of dairy science 2005;88(7):2289-94.
158. Clare DA, Zheng Z, Hassan HM, Swaisgood HE, Catignani GL. Antimicrobial properties of milkfat globule membrane fractions. J Food Prot 2008;71(1):126-33.
159. Cavaletto M, Giuffrida MG, Conti A. Milk fat globule membrane
components--a proteomic approach. Adv Exp Med Biol 2008;606:129-41.
160. Gopal PK, Gill HS. Oligosaccharides and glycoconjugates in bovine milk and colostrum. The British journal of nutrition 2000;84 Suppl 1:S69-74.
161. Liu C, Erickson AK, Henning DR. Distribution and carbohydrate structures of high molecular weight glycoproteins, MUC1 and MUCX, in bovine milk. Journal of dairy science 2005;88(12):4288-94.
51
162. Pallesen LT, Pedersen LR, Petersen TE, Rasmussen JT. Characterization of carbohydrate structures of bovine MUC15 and distribution of the mucin in bovine milk. Journal of dairy science 2007;90(7):3143-52.
163. Tram TH, Brand Miller JC, McNeil Y, McVeagh P. Sialic acid content
of infant saliva: comparison of breast fed with formula fed infants. Arch Dis Child 1997;77(4):315-8.
164. Corredig M, Roesch RR, Dalgleish DG. Production of a novel ingredient from buttermilk. Journal of dairy science 2003;86(9):2744-50.
165. Zavaleta N, Kvistgaard AS, Graverholt G, Respicio G, Guija H, Valencia N, Lonnerdal B. Efficacy of an MFGM-enriched complementary food in diarrhea, anemia, and micronutrient status in infants. Journal of pediatric gastroenterology and nutrition 2011;53(5):561-8.
166. Veereman-Wauters G, Staelens S, Rombaut R, Dewettinck K,
Deboutte D, Brummer RJ, Boone M, Le Ruyet P. Milk fat globule membrane (INPULSE) enriched formula milk decreases febrile episodes and may improve behavioral regulation in young children. Nutrition 2012.
167. Ohlsson L, Burling H, Nilsson A. Long term effects on human plasma lipoproteins of a formulation enriched in butter milk polar lipid. Lipids Health Dis 2009;8:44.
168. Farrow C, Blissett J. Breast-feeding, maternal feeding practices and mealtime negativity at one year. Appetite 2006;46(1):49-56.
169. Mizuno K, Ueda A. Changes in sucking performance from
nonnutritive sucking to nutritive sucking during breast- and bottle-feeding. Pediatric research 2006;59(5):728-31.
170. Li R, Fein SB, Grummer-Strawn LM. Do infants fed from bottles lack self-regulation of milk intake compared with directly breastfed infants? Pediatrics 2010;125(6):e1386-93.
171. Fisher JO, Birch LL, Smiciklas-Wright H, Picciano MF. Breast-feeding through the first year predicts maternal control in feeding and subsequent toddler energy intakes. Journal of the American Dietetic Association 2000;100(6):641-6.
52
172. Raiha NC, Fazzolari-Nesci A, Cajozzo C, Puccio G, Monestier A, Moro G, Minoli I, Haschke-Becher E, Bachmann C, Van't Hof M, et al. Whey predominant, whey modified infant formula with protein/energy ratio of 1.8 g/100 kcal: adequate and safe for term infants from birth to four months. Journal of pediatric gastroenterology and nutrition 2002;35(3):275-81.
173. Socha P, Grote V, Gruszfeld D, Janas R, Demmelmair H, Closa-
Monasterolo R, Subias JE, Scaglioni S, Verduci E, Dain E, et al. Milk protein intake, the metabolic-endocrine response, and growth in infancy: data from a randomized clinical trial. The American journal of clinical nutrition 2011;94(6 Suppl):1776S-84S.
174. Sandstrom O, Lonnerdal B, Graverholt G, Hernell O. Effects of alpha-lactalbumin-enriched formula containing different concentrations of glycomacropeptide on infant nutrition. The American journal of clinical nutrition 2008;87(4):921-8.
175. Lonnerdal B, Hernell O. Effects of feeding ultrahigh-temperature (UHT)-treated infant formula with different protein concentrations or powdered formula, as compared with breast-feeding, on plasma amino acids, hematology, and trace element status. The American journal of clinical nutrition 1998;68(2):350-6.
176. Rueda R. The role of dietary gangliosides on immunity and the
prevention of infection. The British journal of nutrition 2007;98 Suppl 1:S68-73.
177. Cerf-Bensussan N, Gaboriau-Routhiau V. The immune system and the gut microbiota: friends or foes? Nature reviews Immunology 2010;10(10):735-44.
178. Bayley TM, Alasmi M, Thorkelson T, Jones PJ, Corcoran J, Krug-Wispe S, Tsang RC. Longer term effects of early dietary cholesterol level on synthesis and circulating cholesterol concentrations in human infants. Metabolism: clinical and experimental 2002;51(1):25-33.
179. Costello EK, Lauber CL, Hamady M, Fierer N, Gordon JI, Knight R.
Bacterial community variation in human body habitats across space and time. Science 2009;326(5960):1694-7.
180. Aas JA, Griffen AL, Dardis SR, Lee AM, Olsen I, Dewhirst FE, Leys EJ, Paster BJ. Bacteria of dental caries in primary and permanent teeth in children and young adults. Journal of clinical microbiology 2008;46(4):1407-17.
53
181. Haukioja A. Probiotics and oral health. European journal of dentistry 2010;4(3):348-55.
182. Hezel M, Weitzberg E. The oral microbiome and nitric oxide
homoeostasis. Oral diseases 2013.
183. Suzuki YA, Kelleher SL, Yalda D, Wu L, Huang J, Huang N, Lonnerdal B. Expression, characterization, and biologic activity of recombinant human lactoferrin in rice. Journal of pediatric gastroenterology and nutrition 2003;36(2):190-9.
184. Manzoni P, Rinaldi M, Cattani S, Pugni L, Romeo MG, Messner H, Stolfi I, Decembrino L, Laforgia N, Vagnarelli F, et al. Bovine lactoferrin supplementation for prevention of late-onset sepsis in very low-birth-weight neonates: a randomized trial. JAMA : the journal of the American Medical Association 2009;302(13):1421-8.
185. King JC, Jr., Cummings GE, Guo N, Trivedi L, Readmond BX, Keane
V, Feigelman S, de Waard R. A double-blind, placebo-controlled, pilot study of bovine lactoferrin supplementation in bottle-fed infants. Journal of pediatric gastroenterology and nutrition 2007;44(2):245-51.
186. Virgilio P, Casper C, Vagero M, Olsson B, Timdahl K, Hernell O. A combined analysis of data from two studies comparing rhBSSL (recombinant human bile salt stimulated lipase) and placebo added to infant formula or pasteurized breast milk in preterm infants [abstract]. Pediatric Academic Societes, 2011.
187. Donnet-Hughes A, Duc N, Serrant P, Vidal K, Schiffrin EJ. Bioactive molecules in milk and their role in health and disease: the role of transforming growth factor-beta. Immunol Cell Biol 2000;78(1):74-9.
188. Penttila I. Effects of transforming growth factor-beta and formula
feeding on systemic immune responses to dietary beta-lactoglobulin in allergy-prone rats. Pediatric research 2006;59(5):650-5.
189. Blais DR, Harrold J, Altosaar I. Killing the messenger in the nick of time: persistence of breast milk sCD14 in the neonatal gastrointestinal tract. Pediatric research 2006;59(3):371-6.
190. Madsen KL, Fedorak RN, Tavernini MM, Doyle JS. Normal Breast Milk Limits the Development of Colitis in IL-10-Deficient Mice. Inflamm Bowel Dis 2002;8(6):390-8.
54
191. Shulman RJ. Oral insulin increases small intestinal mass and disaccharidase activity in the newborn miniature pig. Pediatric research 1990;28(2):171-5.
192. Baxter RC, Zaltsman Z, Turtle JR. Immunoreactive somatomedin-
C/insulin-like growth factor I and its binding protein in human milk. The Journal of clinical endocrinology and metabolism 1984;58(6):955-9.
193. Carpenter G. Epidermal growth factor is a major growth-promoting agent in human milk. Science 1980;210(4466):198-9.
194. Savino F, Liguori SA, Fissore MF, Oggero R. Breast milk hormones and their protective effect on obesity. Int J Pediatr Endocrinol 2009;2009:327505.
195. Harmsen HJ, Wildeboer-Veloo AC, Raangs GC, Wagendorp AA,
Klijn N, Bindels JG, Welling GW. Analysis of intestinal flora development in breast-fed and formula-fed infants by using molecular identification and detection methods. Journal of pediatric gastroenterology and nutrition 2000;30(1):61-7.
196. Lara-Villoslada F, Olivares M, Sierra S, Rodriguez JM, Boza J, Xaus J. Beneficial effects of probiotic bacteria isolated from breast milk. The British journal of nutrition 2007;98 Suppl 1:S96-100.
197. Vendt N, Grunberg H, Tuure T, Malminiemi O, Wuolijoki E, Tillmann V, Sepp E, Korpela R. Growth during the first 6 months of life in infants using formula enriched with Lactobacillus rhamnosus GG: double-blind, randomized trial. J Hum Nutr Diet 2006;19(1):51-8.
198. Arslanoglu S, Moro GE, Schmitt J, Tandoi L, Rizzardi S, Boehm G.
Early dietary intervention with a mixture of prebiotic oligosaccharides reduces the incidence of allergic manifestations and infections during the first two years of life. The Journal of nutrition 2008;138(6):1091-5.
199. Braegger C, Chmielewska A, Decsi T, Kolacek S, Mihatsch W, Moreno L, Piescik M, Puntis J, Shamir R, Szajewska H, et al. Supplementation of infant formula with probiotics and/or prebiotics: a systematic review and comment by the ESPGHAN committee on nutrition. Journal of pediatric gastroenterology and nutrition 2011;52(2):238-50.
55
200. Singhal A, Macfarlane G, Macfarlane S, Lanigan J, Kennedy K, Elias-Jones A, Stephenson T, Dudek P, Lucas A. Dietary nucleotides and fecal microbiota in formula-fed infants: a randomized controlled trial. The American journal of clinical nutrition 2008;87(6):1785-92.
201. Singhal A, Kennedy K, Lanigan J, Clough H, Jenkins W, Elias-Jones
A, Stephenson T, Dudek P, Lucas A. Dietary nucleotides and early growth in formula-fed infants: a randomized controlled trial. Pediatrics;126(4):e946-53.
202. Menon G, Williams TC. Human milk for preterm infants: why, what, when and how? Archives of disease in childhood Fetal and neonatal edition 2013;98(6):F559-62.
203. Arslanoglu S, Corpeleijn W, Moro G, Braegger C, Campoy C, Colomb V, Decsi T, Domellof M, Fewtrell M, Hojsak I, et al. Donor human milk for preterm infants: current evidence and research directions. Journal of pediatric gastroenterology and nutrition 2013;57(4):535-42.
204. Woollett LA. Review: Transport of maternal cholesterol to the fetal
circulation. Placenta 2011;32 Suppl 2:S218-21.
205. Larque E, Ruiz-Palacios M, Koletzko B. Placental regulation of fetal nutrient supply. Current opinion in clinical nutrition and metabolic care 2013;16(3):292-7.
206. Manzoni P, Stolfi I, Pedicino R, Vagnarelli F, Mosca F, Pugni L, Bollani L, Pozzi M, Gomez K, Tzialla C, et al. Human milk feeding prevents retinopathy of prematurity (ROP) in preterm VLBW neonates. Early human development 2013;89 Suppl 1:S64-8.
207. Furman L, Taylor G, Minich N, Hack M. The effect of maternal milk
on neonatal morbidity of very low-birth-weight infants. Archives of pediatrics & adolescent medicine 2003;157(1):66-71.
208. Stoltz Sjostrom E, Ohlund I, Ahlsson F, Engstrom E, Fellman V, Hellstrom A, Kallen K, Norman M, Olhager E, Serenius F, et al. Nutrient intakes independently affect growth in extremely preterm infants: results from a population-based study. Acta Paediatr 2013;102(11):1067-74.
209. Gomez-Pinilla F, Gomez AG. The influence of dietary factors in central nervous system plasticity and injury recovery. PM & R : the journal of injury, function, and rehabilitation 2011;3(6 Suppl 1):S111-6.