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Postprandial lipid and carbohydrate responses after the ingestion of a casein-enriched mixed meal

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Postprandial lipemia is markedly modulated when carbohydrates are added to a fatty meal. The effect of added protein is less known, however, and the data are controversial. We investigated the effects of casein added to various fat-rich meals in the absence and presence of oligosaccharides. Four different test meals were given to 24 healthy volunteers: 1) fat alone, consisting of 3 g cream/kg body wt; 2) fat plus 75 g oligosaccharides; 3) fat plus 50 g sodium caseinate; and 4) a combination of all 3 components. Blood samples were taken before the meals and 1, 2, 3, 4, 5, 6, 7, and 8 h thereafter. The variables measured were serum free fatty acids, arginine, glucose, insulin, and C-peptide as well as triacylglycerol in serum, in chylomicrons, and in VLDL. Gastric emptying was monitored with the use of a (13)C breath test. Addition of oligosaccharides resulted in the known delay and reduction in postprandial lipemia. Casein caused additional effects: chylomicrons were further reduced and delayed, independently of gastric emptying. C-peptide and insulin, as expressed by their areas under the curves, were raised not only during the early response to the glucose load but also in the postabsorptive state. Concentrations of free fatty acids, which were markedly suppressed by 24% after oligosaccharides alone, were lowered a further 20% after the addition of casein. Casein added to a fatty meal lowers free fatty acids markedly in the postprandial and postabsorption phases, probably via its insulinotropic activity. Postprandial lipemia is also moderately reduced.
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Postprandial lipid and carbohydrate responses after the ingestion of
a casein-enriched mixed meal
1–3
Sabine Westphal, Stephanie Ka¨stner, Elina Taneva, Andreas Leodolter, Jutta Dierkes, and Claus Luley
ABSTRACT
Background: Postprandial lipemia is markedly modulated when
carbohydrates are added to a fatty meal. The effect of added protein
is less known, however, and the data are controversial.
Objective: We investigated the effects of casein added to various
fat-rich meals in the absence and presence of oligosaccharides.
Design: Four different test meals were given to 24 healthy volun-
teers:1) fatalone, consistingof 3g cream/kgbody wt;2) fatplus 75g
oligosaccharides; 3) fat plus 50 g sodium caseinate; and 4) a com-
bination of all 3 components. Blood samples were taken before the
mealsand 1,2,3, 4,5, 6,7, and8h thereafter.The variablesmeasured
wereserum freefatty acids,arginine, glucose, insulin,and C-peptide
as well as triacylglycerol in serum, in chylomicrons, and in VLDL.
Gastric emptying was monitored with the use of a
13
C breath test.
Results:Addition of oligosaccharides resulted in the known delay
and reduction in postprandial lipemia. Casein caused additional ef-
fects: chylomicrons were further reduced and delayed, indepen-
dently of gastric emptying. C-peptide and insulin, as expressed by
their areas under the curves, were raised not only during the early
response to the glucose load but also in the postabsorptive state.
Concentrations of free fatty acids, which were markedly suppressed
by 24% after oligosaccharides alone, were lowered a further 20%
after the addition of casein.
Conclusions:Casein added to a fatty meal lowers free fatty acids
markedly in the postprandial and postabsorption phases, probably
via its insulinotropic activity. Postprandial lipemia is also moder-
ately reduced. Am J Clin Nutr 2004;80:284–90.
KEY WORDS Protein, triacylglycerol, postprandial lipemia,
insulin
INTRODUCTION
Single meals usually contain all 3 macronutrients: fat, carbo-
hydrate, and protein. The digestion and metabolism of these 3
main constituents are known to interact directly, eg, during the
absorptionstage, andindirectly, eg,via theactivation ofenzymes
or the secretion of hormones. Fat metabolism has been studied
repeatedly after the consumption both of fat alone and of fat
combinedwithcarbohydrates. It has been shown byothers(1–3)
and by ourselves (4) that carbohydrates added to a fatty meal
cause pronounced alterations in gastric emptying and in lipopro-
tein metabolism. Postprandial lipemia is both delayed and re-
duced.The loweringof thepostprandiallipemia ismost probably
caused by insulin acting via several mechanisms. One mecha-
nismconcerns the releaseof free fattyacids (FFAs) fromadipose
tissue, which is markedly suppressed by insulin through its in-
hibitory activity on the intracellular hormone-sensitive lipase.
Because the rate of hepatic VLDL production is strongly depen-
dentonthe FFA supply (5),hepatictriacylglycerol synthesis and
VLDL secretion are consequently slowed down (68). Finally,
insulin might stimulate lipoprotein lipase (9), resulting in an
accelerated clearance of triacylglycerol-rich lipoproteins (10).
Much less work has been done on the interactions caused by
the protein component in a meal. The results are conflicting, in
that either an increase in postprandial lipemia or no effect at all
isreported (11, 12).However,it couldbepostulated that proteins
such as casein interact with lipid metabolism as a result of their
insulinotropiceffects (13, 14).Wetherefore aimed toinvestigate
theeffect of caseinadded to variousfat-rich meals tosee whether
effects could be observed in the presence or absence of oligo-
saccharides in the meal. Furthermore, both the postprandial
phase and the postabsorption phase were studied for up to 8 h
after the meal.
SUBJECTS AND METHODS
Subjects
Twenty-fourhealthy students (12males, 12 females)tookpart
in the study. Inclusion criteria were as follows: normal weight
(body mass index, in kg/m
2
,18.5 but 25.0); nonsmoking;
normalalcohol habits;no historyof obesity,diabetes, orliver and
kidney diseases; normal blood pressure; and no regular use of
medications (Table 1). The subjects were instructed to refrain
from any unusual changes in their habits concerning physical
activity and nutritional behavior 4 wk before and throughout the
study. Their habitual dietary intake was recorded by self-report;
averageenergy intakes fromcarbohydrates, fat, andprotein were
49.2%, 37.4%, and 13.2% of energy, respectively.
1
From the Institute of Clinical Chemistry (SW, SK, ET, JD, and CL) and
the Department of Gastroenterology (AL), Magdeburg University Hospital,
Magdeburg, Germany.
2
Supported by grants from the Ministry for Education and Science Ger-
many (BMBF-Netzwerk, Molekulare Erna¨hrungsforschung, Förderkenn-
zeichen 0312750B).
3
Reprints not available. Address correspondence to S Westphal, Institute
ofClinical Chemistry,Leipziger Strasse44,D-39120 Magdeburg,Germany.
E-mail: sabine.westphal@medizin.uni-magdeburg.de.
Received October 27, 2003.
Accepted for publication February 2, 2004.
284 Am J Clin Nutr 2004;80:284–90. Printed in USA. © 2004 American Society for Clinical Nutrition
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Design
Each individual was studied 4 times, with intervals of 1wk
between the 4 oral fat loads. The liquid test meals consisted of
30% whipping cream, 3 mL (1 g fat) being given per kg body
weight. The cream (per 100 mL) contained 30 g fat (18.2 g
saturated and 9.04 g monounsaturated fatty acids), 3.5 g carbo-
hydrates,and 2.5gprotein. Thecream was mixed,in randomized
order, with 300 mL water containing or not containing 75 g of a
monosaccharide-oligosaccharide mixture (Dextro O.G-T;
Hoffmann-La Roche AG, Grenzach-Wyhlen, Germany). The
protein-rich meal consisted of 30% whipping cream and 50 g
sodiumcaseinate (NumicoResearch,Wageningen, Netherlands;
Table 2) dissolved in water, with or without the oligosaccharide
mixture. The meals were drunk within 15 min between 0730 and
0800. All of the test meals were well tolerated, and no gastroin-
testinalsymptomswere reported. An ethics committeeapproved
theprotocol, andall subjectsgave theirwritten informedconsent.
Thefirstblood sample was withdrawn aftera fasting period of
12 h. Further blood samples were then taken immediately before
and 1, 2, 3, 4, 5, 6, 7, and 8 h after the oral fat tolerance test. No
other source of energy was provided, but water was allowed ad
libitum. The participants did not engage in any physical activity
duringthetest and had avoided exercising duringthe24 h before
the tests. Venous blood samples were collected under standardized
conditions, and serum was separated from the blood cells by cen-
trifugationfor10 min at 3000 ҂g.Analyses of the lipoproteins and
the metabolic variables were carried out within 24 h.
Determination of lipids and conventional lipoproteins
Theseparation of chylomicronsby ultracentrifugationandrepro-
ducibility issues are described in detail elsewhere (15). To isolate
chylomicrons, 1 mL plasma was layered under 2 mL saline (9 g
NaCl/L, d҃1.006 g/mL) and ultracentrifuged in polycarbonate
tubes (BeckmanInstruments, Krefeld, Germany)at 20 000rpm in a
50.3 Ti rotor for 20 min at 10 °C. Chylomicrons were carefully
isolated from the supernatant fluid. To determine triacylglycerol in
VLDL, the serum was ultracentrifuged for 18 h under the same
conditions, and the supernatant fluid containing VLDL plus chylo-
microns was aspirated off. The triacylglycerol in VLDL was calcu-
lated by subtracting chylomicron triacylglycerol from total triacyl-
glycerol in this fraction. All values were corrected for different
yields by weighing the tubes before ultracentrifugation and after
removal of the supernatant fluid.
Triacylglycerolconcentrationswere measured by use of com-
mercial enzymatic methods in a random-access analyzer (Hita-
chi911;Roche Diagnostics, Mannheim, Germany). Allreagents
and calibrators were from Roche Diagnostics. Plasma glucose
was measured by use of a commercial enzymatic method (GOD;
RocheDiagnostics), insulin bya commercial radioimmunoassay
(BI-InsulinIRMA;BIO-RAD, Munich, Germany),andFFAs by
a commercial enzymatic colorimetric method (Wako Chemicals
GmbH, Neuss, Germany). C-peptide was analyzed by use of the
Immulite system (DPC Diagnostic Products Corporation, Los
Angeles, distributed in Germany by DPC Biermann GmbH, Bad
Nauheim, Germany), which is a fully automatic random-access
chemiluminescence-enhanced enzyme immunoassay system
(16). Arginine was measured by HPLC.
Gastric emptying
Allgastricemptying tests were done incombinationwith the test
meals,150 mg[
13
C]sodiumacetate beingdissolved inthe fattymeal
(17). Breath samples were collected before and then every 15 min
for 240 min after the test meal and were analyzed for isotopic en-
richmentby using anisotope ratio massspectrometer with anonline
gas-chromatographic purification system. The half-time of gastric
emptying was calculated after curve fitting of the
13
C exhalation to
a modified power exponential function.
Statistics
Data are presented as means SEMs. The gastric emptying
data are presented as medians and 25th and 75th percentiles. To
evaluatethe overall responseof total triacylglycerol,triacylglyc-
erol in VLDL, triacylglycerol in chylomicrons, FFAs, glucose,
insulin, and C-peptide during the 8-h postprandial period, the
areas under the postprandial curve (AUCs) were calculated by
the trapezoid rule. Statistical analysis of the data was performed
by using a two-factor repeated-measures analysis of variance.
Differences between the test meals were tested for significance
by using Tukeys post hoc test. Differences in the gastric emptying
between the different test meals were checked for significance by
TABLE 1
Characteristics of the subjects
1
Value
Age (y) 21 2
BMI (kg/m
2
)22 1
Height (cm) 1.74 0.10
Weight (kg) 68.6 13.1
Glucose (mmol/L) 5.15 0.30
Insulin (pmol/L) 27 14
Triacylglycerol (mmol/L) 1.07 0.27
Cholesterol (mmol/L) 5.10 0.37
LDL cholesterol (mmol/L) 3.16 0.36
HDL cholesterol (mmol/L) 1.5 0.36
Free fatty acids (mmol/L) 0.50 0.15
1
All values are xSEM; n҃12 men, 12 women.
TABLE 2
Amino acid composition of the intact casein protein
Amino acid Value
g/100 g
L-Alanine 2.77
L-Arginine 3.52
L-Aspartate 6.11
L-Cysteine 0.45
L-Glutamate 20.56
L-Glycine 1.74
L-Histidine 3.45
L-Isoleucine 5.42
L-Leucine 8.70
L-Lysine 7.36
L-Methionine 2.60
L-Phenylalanine 4.72
L-Proline 10.26
L-Serine 5.44
L-Threonine 4.46
L-Tryptophan 1.16
L-Tyrosine 5.02
L-Valine 6.24
POSTPRANDIAL RESPONSES TO A CASEIN MEAL 285
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use of Wilcoxons signed-rank test with Bonferroni correction.
SPSS for WINDOWS (version 7.5; SPSS Inc, Chicago) was used
for the analyses. Significance was set at P0.05.
RESULTS
Gastric emptying
The effects on gastric emptying of the addition of oligosac-
charidesorcasein to fat, separately orin combination, are shown
inFigure 1. Thehalf-timeof gastricemptyingafter fat alonewas
127 min and was substantially prolonged to 193 min after the
additionofoligosaccharides (P0.01). Whencaseinwas added
to fat alone or in combination with oligosaccharides, no further
significant effect was detectable by use of the
13
C breath test.
Postprandial lipemia
The kinetics of total serum triacylglycerol after the ingestion
of the 4 different meals is shown in Figure 2A. Compared with
fat alone, oligosaccharides exerted 2 pronounced effects: they
delayed the triacylglycerol peak from 3 to 5 h and lowered the
triacylglycerol concentrations, particularly at early time points.
Casein had a similar but considerably weaker action; the triac-
ylglycerol peak was delayed by 1h.
The triacylglycerol concentrations in chylomicrons and in
VLDL are shown in Figure 2, B and C. As in serum, a delay and
a reduction were observed for each density fraction. A strong
effect was exerted by oligosaccharides, a somewhat weaker one
by casein, and the greatest by the combination of the 2. The
reductions were more pronounced in chylomicrons than in
VLDL, in which delay was the predominant effect.
The AUCs are shown in Table 3. When fat alone was compared
with fat plus oligosaccharides, the reductions in triacylglycerol
FIGURE1. Half-time of gastric emptying in 24 normolipidemic subjects
after 4 different meals: 1) 1 g fat/kg body wt, 2) fat combined with 50 g
sodium caseinate, 3) fat combined with 75 g oligosaccharides, and 4) fat
combined with oligosaccharides and caseinate. Results are shown as box
plots, in which the parts of the plot are the median, the box (which indicates
the 25th and 75th percentiles), and the error bars (which indicate the 5th and
95th percentiles).
*
Significantly different from fat alone, P0.05 (Wilcox-
ons signed-rank test with Bonferroni correction).
FIGURE 2. Mean (SEM) postprandial triacylglycerol concentrations
in serum (A), chylomicrons (B), and VLDL (C) in 24 normolipidemic sub-
jects after 4 different meals in each case: 1) 1 g fat/kg body wt (continuous
line), 2) fat combined with 75 g oligosaccharides (broken line), 3) fat com-
bined with 50 g sodium caseinate (dotted line), and 4) fat combined with
oligosaccharides and caseinate (dot-dash line). For all panels, there were
significanteffects oftime (P0.001)and meal (P0.001) and asignificant
meal ҂time interaction (P0.001), ANOVA for repeated measures.
286 WESTPHAL ET AL
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AUCs in serum, chylomicrons, and VLDL were 10%, 21%, and
6%, respectively. The effects of casein on the triacylglycerol
AUCs were significant only when casein was added together
with oligosaccharides. This additional lowering caused by ca-
sein was 8%, 17%, and 6% for triacylglycerol in serum, chylo-
microns, and VLDL, respectively.
Carbohydrate metabolism
As was to be expected, fat alone did not significantly alter
concentrations of C-peptide, insulin, or glucose (Figure 3).
When oligosaccharides and oligosaccharides plus casein were
added, however, these variables were affected in 2 phases: in an
early phase up to 3 h, which was dominated by glucose regula-
tion, and in a second phase, between 4 and 8 h, when the specific
effect of casein was observed. In the early phase, C-peptide and
insulin increased sharply and glucose returned to baseline.
In the second phase, concentrations of C-peptide and insulin
were elevated by between 30% and 92% after the casein-
containingmeals.These delayed elevations were independentof
the prior addition of oligosaccharides.
Free fatty acids
Although FFAs are known to be closely linked with the me-
tabolismoftriacylglycerol and carbohydrates, their postprandial
kinetics do not quite run in parallel with those of the above-
mentioned variables (Figure 4). After fat alone, there was an
early increase up to 3 h, similar to the increase in triacylglycerol
but with a subsequent plateau. When oligosaccharides were
addedtothe fat drink, there wasapronounced suppression of the
FFAs for 3 h, after which there was an increase similar to that
after fat alone but delayed by 3 h. Casein added to fat alone
caused significant reductions in FFAs at almost all time points,
which resulted in a curve parallel to that given by fat alone but
with the concentrations being lower by 1336%. When both
oligosaccharides and casein were added to the fat, the effects on
FFA were additive. Compared with fat alone, the suppression
reached maximum values of 1872% at time points of 0.56h.
The AUCs of C-peptide, insulin, and FFAs reflect these
changes (Table 3). Note that the casein-induced changes in
C-peptide and insulin, expressed as percentages, were more pro-
nouncedduring the postabsorptionphase (48 h)thanduring the
early phase (0 and 3 h), particularly when casein had been given
together with oligosaccharides. Because the FFA AUC was
markedly lowered by oligosaccharides and by casein, there was
a pronounced lowering by combination of the 2, by 46% com-
pared with the AUC of FFAs after fat alone.
DISCUSSION
The effects of additions of oligosaccharides to a fatty meal
have been investigated repeatedly (24). The effect of protein
added to fat has been studied much less and with conflicting
results.Sullivan (11) studied6 subjectsover3 handreported that
casein caused an increase in postprandial lipemia. Cohen (12)
added sodium caseinate to fat and did not observe any change in
postprandial lipemia over a period of 7 h. Neither investigator
studiedthe effect ofcasein plus oligosaccharideson postprandial
lipemia and, consequently, neither looked at the variables of
carbohydratemetabolism. Our studyconsideredfor thefirsttime
the interaction of all 3 nutritional components. We found that
casein1) moderatelyreducesand delaysthe postprandiallipemia
and2) markedly lowerspostprandialand postabsorptive concen-
trations of FFAs. We postulate that the insulinotropic action of
casein is responsible for both of these effects.
Caseinwasshown to be insulinotropic as earlyasin 1966 (18)
and has since been studied on a cellular level and on a whole-
body level in vivo in humans. Sener and Malaisse (19) observed
that the addition of leucine to the incubation medium stimulates
insulin release by pancreatic
cells in vitro. Leucine activates
glutamate dehydrogenase activity. This subsequently leads to an
increase in tricarboxylic acid cycle activity and is attended by
increasedinsulin production. Byusing infusions, itwas shown in
humans that several amino acids lead to significant increases in
plasma insulin. Floyd et al (20, 21) investigated different combina-
tions of amino acids and found that the combined administration of
TABLE 3
Areas under the curves
1
Fat Fat ѿcasein Percentage
change
2
Fat ѿ
oligosaccharides
Fat ѿ
oligosaccharides
ѿcasein Percentage
change
3
Pfor meal
effect
(ANOVA)
%%
Triacylglycerol (mmol h/L)
Serum 13.3 2.1
b,4
13.5 1.8
b
1 12.0 1.4
a
11.1 2.3
a
Ҁ8 0.001
Chylomicron 3.8 0.8
c
3.9 0.9
c
3 3.0 0.7
a
2.5 0.8
b
Ҁ17 0.001
VLDL 5.5 0.5
a
5.8 0.4
a
5 5.1 0.7
b
4.8 0.6
b
Ҁ6 0.001
Free fatty acids (mmol h/L) 6.3 0.5
b
4.9 0.3
a
Ҁ20 4.5 0.7
a
3.4 0.2
c
Ҁ24 0.001
Glucose (mmol h/L) 49.6 9.7
b
50.5 8.5
b
253.9 7.6
a
52.5 7.8
a
Ҁ2 0.001
Insulin (pmol h/L)
03 h 176 54
a
227 0.42
a
29 844 49
b
931 51
b
10 0.001
48h 91118
a
118 0.42
b
30 126 40
c
182 20
d
44 0.001
C-peptide (pmol h/L)
03 h 3166 100
a
3314 101
a
5 8099 277
b
8717 326
b
8 0.001
48 h 2270 70
a
2711 65
b
19 2735 277
c
3758 326
d
37 0.001
1
n҃24. Values within a row with different superscript letters are significantly different, P0.05 (post hoc tests with Tukeys adjustment).
2
Percentage change from fat alone after the addition of casein.
3
Percentage change from fat ѿoligosaccharides after the addition of casein.
4
xSEM (all such values).
POSTPRANDIAL RESPONSES TO A CASEIN MEAL 287
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arginine-leucineandarginine-phenylalanine with glucose results in
thelargestincrease in plasma insulin concentrations.Thissynergis-
tic effect of the combined intake of carbohydrate and protein on
plasma insulin concentrations was later confirmed in both healthy
subjects(22) andthose withtype2 diabetes(2325). Thiseffect was
considerably less pronounced in nondiabetic persons (26). Van
Loon et al (2729) performed a series of studies in healthy young
subjectsinwhom he determined the invivoinsulinotropic potential
of various proteins, hydrolysates, and free amino acids in combina-
tionwith carbohydrates. Hefoundthe highestinsulinsecretion after
a mixture containing wheat protein hydrolysate, free leucine, and
phenylalanine. In contrast, arginine, in an amount likely to be in-
gested in a high-protein meal, does not stimulate insulin secretion
(30). Note that the above studies focused only on 23 h after the
oligosaccharidesintake.Our data, alsoobtainedin nondiabetic sub-
jects,showan increase in theinsulinAUC by 29% upto3 h; insulin
secretion,however, didnotaffect glucosewhen caseinwasadded to
thefatalone. This casein-inducedrisein insulin also occurredwhen
oligosaccharideswere givenin addition,leadingto alowering ofthe
peak glucose concentration by 10% after 60 min (P0.05). Thus,
ourdata confirm earlyinsulinotropicaction of caseinin nondiabetic
persons.
In contrast with the above-mentioned studies, the present
studyinvestigated the postabsorptionphase upto8 h.During this
second phase, concentrations of C-peptide and insulin are ele-
vated almost during the entire period from 4 to 8 h and decline
only slowly. The reason for these late elevations is probably
again the release of insulinotropic amino acids from casein. The
kinetics of arginine as a representative amino acid are shown in
Figure 3. Interestingly enough, the variable reacting most sensi-
tively to this late and continuous insulin elevation was not glu-
cose but FFAs. Although glucose concentrations do not react at
all with the administration of casein, the FFA AUCs were re-
duced by 20% and 24% when casein was added to fat alone and
to fat plus oligosaccharides, respectively. The observation that
FFAsaremore sensitive to insulinvariationsthan is glucose isin
line with a clamp study by Boden et al (31) that showed a dose-
dependent lowering of FFAs by insulin before glucose was af-
fected.
FIGURE 3. Mean (SEM) postprandial concentrations of C-peptide in
serum, of insulin in serum, and of oligosaccharides and arginine in plasma in
24 normolipidemic subjects after 4 different meals in each case: 1) 1 g fat/kg
body wt (continuous line), 2) fat combined with 75 g oligosaccharides (bro-
kenline), 3) fatcombined with50 gsodium caseinate (dottedline), and4) fat
combinedwith oligosaccharidesand caseinate(dot-dash line). Forall panels,
there were significant effects of time (P0.001) and meal (P0.001) and
a significant meal ҂time interaction (P0.001), ANOVA for repeated
measures.
FIGURE4. Mean (SEM) concentrations of free fatty acids in serum in
24 normolipidemic subjects after 4 different meals in each case: 1) 1 g fat/kg
body wt (continuous line), 2) fat combined with 75 g oligosaccharides (bro-
kenline), 3) fatcombined with50 gsodium caseinate (dottedline), and4) fat
combined with oligosaccharides and caseinate (dot-dash line). There were
significanteffects oftime (P0.001)and meal (P0.001) and asignificant
meal ҂time interaction (P0.001), ANOVA for repeated measures.
288 WESTPHAL ET AL
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This lowering of FFAs may bring about certain beneficial
consequences. Because FFAs fuel hepatic triacylglycerol pro-
duction, a lowering of VLDL may be a long-term consequence
when fat-rich meals are regularly combined with arginine-rich
proteins such as casein. This assumption is in line with an ob-
servationby Hursonet al(32), whosupplemented17garginine/d
isocalorically to humans for 14 d and reported a significant 18%
lowering of the serum triacylglycerol. Further advantages of
reductionsinFFAs might relatetoa decrease intheLDL transfer
into endothelial cells (33), improvements of the antioxidative
protection of endothelial cells (34, 35), and inhibition of platelet
aggregation (36).
Regarding the delay and reduction of postprandial lipemia
after the addition of oligosaccharides to a fatty meal, another
mechanism is in operation besides the increase in insulin. The
pronounceddelays of chylomicronsand VLDL arecaused by the
well-known effects of glucose and insulin on gastric emptying
(37, 38). When casein was added, there was a further delay
without an accompanying delay in the
13
C breath test. We spec-
ulatethatthis additional postponementmayhave been caused by
gastric precipitation of casein (39, 40) slowing down the subse-
quent fat absorption in the intestine. In addition to these delays,
there were also reductions, mainly in chylomicrons. The chylo-
micron reduction may be secondary to the increased insulin con-
centrations, because insulin activates lipoprotein lipase (41, 42),
which might degrade chylomicron triacylglycerol more rapidly.
In conclusion, casein added to an oligosaccharide-containing
fatty meal reduces the chylomicron response. Casein also mark-
edly suppresses FFAs in the presence and absence of oligosac-
charidesin thefatty meal.The FFAsuppression occurringinboth
the postprandial and postabsorption phases may be beneficial.
We are indebted to Eva Maria Gittel, Katrin Deneser, and Marlies Kania
for excellent assistance with the laboratory work.
SW designed the study and wrote the manuscript, SK organized and
carried out the clinical study, ET organized the measurements and collection
ofdata, AD carried out the breath tests,JD performedthe statisticalanalyses,
and CL helped in study design, evaluation, and manuscript writing. None of
the authors had a personal or financial conflict of interest.
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... However, more studies are needed to conclude that fructose or sucrose has more adverse effects than glucose. Conversely, carbohydrates from starchy food did not influence PPL in healthy people (41). In addition, postprandial TAG increased linearly with the glycemic index of different foods containing the same amount of carbohydrates in individuals with insulin resistance (42). ...
... Overall, no significant differences in fasting TAG were detected in all studies investigating protein quality or quantity, suggesting that the possible effect is related to the postprandial period. As for PPL, the addition of casein (45-50 g) during an 8-h high fat meal challenge (80 g of fat) significantly reduced the TAG response (evaluated as 8 h-iAUC) in healthy volunteers and in individuals with type 2 diabetes (41,64). However, no difference was detected for TAG in the VLDL-fraction or whole plasma (41,64). ...
... As for PPL, the addition of casein (45-50 g) during an 8-h high fat meal challenge (80 g of fat) significantly reduced the TAG response (evaluated as 8 h-iAUC) in healthy volunteers and in individuals with type 2 diabetes (41,64). However, no difference was detected for TAG in the VLDL-fraction or whole plasma (41,64). These results have been confirmed in the medium-term, although only one study is available to date ( Table 5). ...
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Abnormalities in postprandial lipemia (PPL), particularly those related to triglyceride-rich lipoproteins, are considered an independent cardiovascular risk factor. As diet is known to be one of the main modulators of PPL, the aim of this review was to summarize and discuss current knowledge on the impact of diet and its components on PPL in humans; specifically, the impact of weight loss, different nutrients (quantity and quality of dietary fats, carbohydrates, and proteins), alcohol and other bioactive dietary components (i.e., polyphenols), as well as the effect of different dietary patterns. The possible mechanisms behind the metabolic effects of each dietary component were also discussed.
... Only 1 trial (2 comparisons) was included for this analysis (42), with the overall pooled Hedges' g value being −0.16 (95% CI: −0.52, 0.20) with I 2 = 0.0% for iAUC (Supplemental Figure 4). ...
... Six trials (15 comparisons) were considered for this analysis to give an overall pooled Hedges' g value of 0.30 (95% CI: −0.12, 0.73) with I 2 = 57.9% for iAUC (15 comparisons) (Supplemental Figure 12) (17,42,(76)(77)(78)(79). Sensitivity testing attributed the high heterogeneity to the findings of Pal et al. (76) due to differences in the control meal for this study (glucose) compared with the others (whey protein or isolate). ...
... max , peak concentration; iAUC, incremental area under the curve.2 Includes double counting of Westphal et al.(42).3 Includes double counting of Naissides et al.(73). ...
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The use of postprandial triglyceride (ppTG) as a cardiovascular disease risk indicator has gained recent popularity. However, the influence of different foods or food ingredients on the ppTG response has not been comprehensively characterized. A systematic literature review and meta-analysis was conducted to assess the effects of foods or food ingredients on the ppTG response. PubMed, MEDLINE, Cochrane, and CINAHL databases were searched for relevant acute (<24-h) randomized controlled trials published up to September 2018. Based on our selection criteria, 179 relevant trials (366 comparisons) were identified and systematically compiled into distinct food or food ingredient categories. A ppTG-lowering effect was noted for soluble fiber (Hedges' giAUC = -0.72; 95% CI: -1.33, -0.11), sodium bicarbonate mineral water (Hedges' gAUC = -0.42; 95% CI: -0.79, -0.04), diacylglycerol oil (Hedges' giAUC = -0.38; 95% CI: -0.75, -0.00), and whey protein when it was contrasted with other proteins. The fats group showed significant but opposite effects depending on the outcome measure used (Hedges' giAUC = -0.32; 95% CI: -0.61, -0.03; and Hedges' gAUC = 0.16; 95% CI: 0.06, 0.26). Data for other important food groups (nuts, vegetables, and polyphenols) were also assessed but of limited availability. Assessing for oral fat tolerance test (OFTT) recommendation compliance, most trials were ≥4 h long but lacked a sufficiently high fat challenge. iAUC and AUC were more common measures of ppTG. Overall, our analyses indicate that the effects on ppTG by different food groups are diverse, largely influenced by the type of food or food ingredient within the same group. The type of ppTG measurement can also influence the response.
... Prolonging exposure of saturated fats within the circulation through reduced insulin sensitivity aggravates the renin angiotensin response through oxidative mechanisms, especially among overweight and obese individuals [138]. Dietary proteins have been demonstrated to offset the oxidative effects and exert vascular protective effects [156,157]. However, no study has yet demonstrated the degree to which dairy proteins offset the hypertensive effects contributable to saturated fats found in dairy. ...
... Previous investigations have noted acute postprandial effects of saturated fats to increase RAS, proinflammatory markers, and oxidative species to promote endothelial dysfunction [138,152,154]. When protein is added to a meal rich in saturated fat, the effects of endothelial dysfunction from elevated saturated fat intake are ameliorated [156,157]. Therefore, a lack of hypotensive effects may be attributed to a counterbalancing of healthy vascular effects from dairy proteins and negative consequences to the saturated fat (Fig. 1) [198]. In this context, a modified higher-fat DASH diet, incorporating full-fat dairy products in place of non-and low-fat dairy products from the original DASH diet [17], reduced BP to a similar degree as the original DASH diet. ...
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Lifestyle modifications in the form of diet and exercise are generally a first-line approach to reduce hypertensive risk and overall cardiovascular disease (CVD) risk. Accumulating research evidence has revealed that consumption of non- and low-fat dairy products incorporated into the routine diet is an effective means to reduce elevated blood pressure and improve vascular functions. However, the idea of incorporating whole-fat or full-fat dairy products in the normal routine diet as a strategy to reduce CVD risk has been met with controversy. The aim of this review is to review both sides of the argument surrounding saturated fat intake and CVD risk from the standpoint of dairy intake. Throughout the review, we examined observational studies on relationships between CVD risk and dairy consumption, dietary intervention studies using non-fat and whole-fat dairy, and mechanistic studies investigating physiological mechanisms of saturated fat intake that may help to explain increases in cardiovascular disease risk. Currently available data have demonstrated that whole-fat dairy is unlikely to augment hypertensive risk when added to the normal routine diet but may negatively impact CVD risk. In conclusion, whole-fat dairy may not be a recommended alternative to non- or low-fat dairy products as a means to reduce hypertensive or overall CVD risk.
... This finding could be explained by the fact that almond crackers have a higher energy density than cashew nut, white kidney bean, and wheat crackers. In a prior study, there was a positive correlation between increased energy and gastricemptying time after consumption of a meal containing different energy and macronutrients (Westphal et al., 2004). Food products with a higher energy density and fat content would slow down the rate of gastric emptying, consequently reducing postprandial glycaemic response and increasing satiety (Tan, Dhillon & Mattes, 2014). ...
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Introduction: Crackers, one of the most consumed baked products, primarily contain refined wheat flour and have a moderate glycaemic index (GI). Nut and legume powders are used in baked goods to help regulate postprandial glycaemia; however, their glycaemic responses remain controversial. Our study aimed to compare the postprandial glycaemic responses between crackers with 30% wheat flour substitution by white kidney beans, cashew nuts, and almonds versus standard wheat crackers. Methods: Twelve adults were recruited for a five-session randomised controlled crossover study. In each session, they were randomly assigned to receive 50g carbohydrates from either a glucose solution or one of the four crackers. Plasma glucose levels were measured at baseline and 15, 30, 45, 60, 90, and 120 minutes after consumption. Satiety and hunger were evaluated using 100mm visual analogue scales at baseline and every 30 minutes until 120 minutes. Results: Mean incremental area under the curve (IAUC) for plasma glucose did not differ between the alternatives and wheat crackers, but was lowest for almond crackers. Compared with GI value of glucose solution, that of wheat, cashew nut, white kidney bean, and almond crackers were 39.97±23.13, 37.66±24.66, 35.85±10.86, and 28.09±17.92, respectively. Almond cracker consumption resulted in the highest mean IAUC for satiety and lowest for hunger, though non-significant. Conclusion: Crackers with 30% wheat flour substitution by nut and legume powders tended to improve postprandial glycaemia more than the standard crackers; however, acute responses on insulin and glucagon-like peptide-1 require further examination.
... In addition to the "calcium theory," it has been claimed that the magnesium content of milk and lactose or caseins could alter lipid and fat metabolism through insulin. [113] Moreover, help to enhance insulin sensitivity, which could have health implications. Furthermore, it has recently been proposed that milk contains bioactive molecules (rare in other dairy meals) that may function independently of calcium in regulating body fat storage. ...
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... Other markers of lipid metabolism including HDL cholesterol, total cholesterol and β-hydroxybutyrate were not altered after adaptation to the different diets. These results agree with observations that high dietary protein acutely affects lipid metabolism, with lowering effects on cholesterol synthesis and lipogenic enzymes [10,29] and a potential reduction of lipidemia [30][31][32]. High protein diets can stimulate postprandial gluconeogenesis in the liver, with a reduced inhibition of glucose production by the meal [33,34]. They also have the potential to acutely stimulate postprandial insulin secretion [35]. ...
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The western dietary pattern is known for its frequent meals rich in saturated fat and protein, resulting in a postprandial state for a large part of the day. Therefore, our aim was to investigate the postprandial glucose and lipid metabolism in response to high (HP) or normal (NP) protein, high-fat hypercaloric diet and to identify early biomarkers of protein intake and hepatic lipid accumulation. In a crossover design, 17 healthy subjects were randomly assigned to consume a HP or NP hypercaloric diet for two weeks. In parallel, a control group (CD; n = 10) consumed a weight-maintaining control diet. Biomarkers of postprandial lipid and glucose metabolism were measured in 24 h urine and in plasma before and following a meal challenge. The metabolic profile of urine but not plasma, showed increased excretion of 13C, carnitine and short chain acyl-carnitines after adaptation to the HP diet. Urinary excretion of decatrienoylcarnitine and octenoylcarnitine increased after adaptation to the NP diet. Our results suggest that the higher excretion of short-chain urinary acyl-carnitines could facilitate the elimination of excess fat of the HP diet and thereby reduce hepatic fat accumulation previously reported, whereas the higher excretion medium-chains acyl-carnitine could be early biomarkers of hepatic lipid accumulation.
... The addition of glucose or digestible oligosaccharides to a fatty meal results in a delay in gastric emptying [91,92]. More importantly, regarding lipid digestion, high levels of digestible carbohydrates in the diet attenuate the lipase secretion by the gastric mucosa or the pancreas into the small intestine [93,94], while indigestible carbohydrates, i.e., dietary fibers, can lower the extent of lipolysis either through the reduction of lipid emulsification or through forming aggregates with lipid globules [95,96]. ...
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Many recent studies have acknowledged postprandial hypetriglyceridemia as a distinct risk factor for cardiovascular disease. This dysmetabolic state is the result of the hepatic overproduction of very low-density lipoproteins (VLDLs) and intestinal secretion of chylomicrons (CMs), which leads to highly atherogenic particles and endothelial inflammation. Postprandial lipid metabolism does not only depend on consumed fat but also on the other classes of nutrients that a meal contains. Various mechanisms through which carbohydrates exacerbate lipidemia have been identified, especially for fructose, which stimulates de novo lipogenesis. Glycemic index and glycemic load, despite their intrinsic limitations, have been used as markers of the postprandial glucose and insulin response, and their association with metabolic health and cardiovascular events has been extensively studied with contradictory results. This review aims to discuss the importance and pathogenesis of postprandial hypertriglyceridemia and its association with cardiovascular disease. Then, we describe the mechanisms through which carbohydrates influence lipidemia and, through a brief presentation of the available clinical studies on glycemic index/glycemic load, we discuss the association of these indices with atherogenic dyslipidemia and address possible concerns and implications for everyday practice.
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In the last 40 years, there has been a significant increase in the number of people who are overweight, obese and experience combined metabolic disorders. Gut microbiota has been shown to influence energy metabolism and is therefore a significant factor in the development of obesity. A person's diet, in particular, the nutritional value of that diet, is a crucial connection between gut microbiota composition and metabolism. This review explores the role of normal colonic microbiota and the gut environment. These mechanisms connect microbiota with obesity, the presence of gut microbiota in obese individuals and the impact of bioactive compounds in dairy products on gut microbiota. Research shows that gut microbiota play a crucial role in regulating energy metabolism and influencing the development of obesity. Changes in diet can alter the composition and levels of gut microbiota, and consuming bioactive components can help reshape the metabolic profile of obese individuals.
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2‐Monoacylglycerol (2‐MAG) is one of the digestion products of dietary lipids. We recently demonstrated that a 2‐MAG, 2‐arachidonoyl glycerol (2‐AG) potently stimulated cholecystokinin (CCK) secretion via cannabinoid receptor 1 (CB1) in a murine CCK‐producing cell line, STC‐1. CCK plays a crucial role in suppressing postprandial gastric emptying. To examine the effect of 2‐AG on gastric emptying, we performed acetaminophen and phenol red recovery tests under oral or intraperitoneal administration of 2‐AG in mice. Orally administered 2‐AG (25 mg/kg) suppressed the gastric emptying rate in mice, as determined by the acetaminophen absorption test and phenol red recovery test. Intraperitoneal administration of a cholecystokinin A receptor antagonist (0.5 mg/kg) attenuated the gastric inhibitory emptying effect. In addition, both oral (10 mg/kg) and intraperitoneal (0.5 mg/kg) administration of a CB1 antagonist counteracted the 2‐AG‐induced gastric inhibitory effect. Furthermore, intraperitoneal 2‐AG (25 mg/kg) suppressed gastric emptying. These results indicate that 2‐AG exhibits an inhibitory effect on gastric emptying in mice, possibly mediated by stimulating both CCK secretion via CB1 expressed in CCK‐producing cells and acting on CB1 expressed in the peripheral nerves. Our findings provide novel insights into the 2‐MAG‐sensing mechanism in enteroendocrine cells and the physiological role of 2‐MAG.
Chapter
More than 90% of the lipids are present in the diet as triglycerides (TG), carrying three esterified dietary fatty acids (FAs) per triglyceride molecule. Phospholipids (PLs) are other important carriers of dietary FAs. Altogether, the daily intake of dietary FAs from TG and PLs will not ultimately lead to the same amount of FAs being released in the gut, and reaching the bloodstream or target organs, including the colon in the case of unabsorbed lipids. This chapter (i) summarizes the fate of dietary lipids during digestion that determines their bioaccessibility, (ii) describes cellular mechanisms of intestinal lipid absorption that drives the dietary FA release into the bloodstream, (iii) reviews how molecular and supramolecular lipid structures carrying dietary FAs (such as TG vs. PLs, emulsion vs. bulk oil, emulsifier type, etc.) can modulate their bioaccessibility and bioavailability, (iv) reviews their impact on health and metabolism as related to their supplied form of interest in the field of food and supplement formulation and processing standpoint, and (v) presents the recent “food matrix” concept that must be taken into account when studying the bioavailability and metabolism of dietary lipids.
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To optimize the postexercise insulin response and to increase plasma amino acid availability, we studied postexercise insulin levels after the ingestion of carbohydrate and wheat protein hydrolysate with and without free leucine and phenylalanine. After an overnight fast, eight male cyclists visited our laboratory on five occasions, during which a control drink and two different beverage compositions in two different doses were tested. After they performed a glycogen-depletion protocol, subjects received a beverage (3.5 mL · kg⁻¹) every 30 min to ensure an intake of 1.2 g · kg⁻¹ · h⁻¹ carbohydrate and 0, 0.2 or 0.4 g · kg⁻¹ · h⁻¹ protein hydrolysate (and amino acid) mixture. After the insulin response was expressed as the area under the curve, only the ingestion of the beverages containing wheat protein hydrolysate, leucine and phenylalanine resulted in a marked increase in insulin response (+52 and + 107% for the 0.2 and 0.4 g · kg⁻¹ · h⁻¹ mixtures, respectively; P < 0.05) compared with the carbohydrate-only trial). A dose-related effect existed because doubling the dose (0.2–0.4 g · kg⁻¹ · h⁻¹) led to an additional rise in insulin response (P < 0.05). Plasma leucine, phenylalanine and tyrosine concentrations showed strong correlations with the insulin response (P < 0.0001). This study provides a practical tool to markedly elevate insulin levels and plasma amino acid availability through dietary manipulation, which may be of great value in clinical nutrition, (recovery) sports drinks and metabolic research.
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The speed of absorption of dietary amino acids by the gut varies according to the type of ingested dietary protein. This could affect postprandial protein synthesis, breakdown, and deposition. To test this hypothesis, two intrinsically 13C-leucine-labeled milk proteins, casein (CAS) and whey protein (WP), of different physicochemical properties were ingested as one single meal by healthy adults. Postprandial whole body leucine kinetics were assessed by using a dual tracer methodology. WP induced a dramatic but short increase of plasma amino acids. CAS induced a prolonged plateau of moderate hyperaminoacidemia, probably because of a slow gastric emptying. Whole body protein breakdown was inhibited by 34% after CAS ingestion but not after WP ingestion. Postprandial protein synthesis was stimulated by 68% with the WP meal and to a lesser extent (+31%) with the CAS meal. Postprandial whole body leucine oxidation over 7 h was lower with CAS (272 ± 91 μmol⋅kg−1) than with WP (373 ± 56 μmol⋅kg−1). Leucine intake was identical in both meals (380 μmol⋅kg−1). Therefore, net leucine balance over the 7 h after the meal was more positive with CAS than with WP (P < 0.05, WP vs. CAS). In conclusion, the speed of protein digestion and amino acid absorption from the gut has a major effect on whole body protein anabolism after one single meal. By analogy with carbohydrate metabolism, slow and fast proteins modulate the postprandial metabolic response, a concept to be applied to wasting situations.
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Test meals with 25 g protein in the form of cottage cheese or egg white were given with or without 50 g glucose to male subjects with mild to moderately severe, untreated, type II diabetes. Water was given as a control meal. The glucose, insulin, C-peptide, alpha amino nitrogen (AAN), glucagon, plasma urea nitrogen (PUN), nonesterified fatty acid (NEFA), and triglyceride area responses were determined using the water meal as a baseline. The glucose area responses following ingestion of cottage cheese or egg white were very small compared with those of the glucose meal, and were not significantly different from one another. The serum insulin area response was 3.6-fold greater following ingestion of cottage cheese compared with egg white (309 v 86 pmol/L.h). The simultaneous ingestion of glucose with cottage cheese or egg white protein decreased the glucose area response to glucose by 11% and 20%, respectively. When either protein was ingested with glucose, the insulin area response was greater than the sum of the individual responses, indicating a synergistic effect (glucose alone, 732 pmol/L.h; glucose with cottage cheese, 1,637 pmol/L.h; glucose with egg white, 1,213 pmol/L.h). The C-peptide area response was similar to the insulin area response. The AAN area response was approximately twofold greater following ingestion of cottage cheese compared with egg white. Following ingestion of glucose, it was negative. When protein was ingested with glucose, the AAN area responses were additive. The glucagon area response was similar following ingestion of cottage cheese or egg white protein. Following glucose ingestion, the glucagon area response was negative.(ABSTRACT TRUNCATED AT 250 WORDS)
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The present study was designed to determine the effects of milk composition and the influence of gastro-oesophageal reflux (GOR) on gastric emptying. Cineoesogastrocintigraphy (COGS) was performed in 201 infants between 0-1 year of age in order to detect GOR, and provided a means of estimation of the gastric emptying (GE). Ninety infants appeared free from GOR and constituted the control group; 111 had GOR. There infants were fed human milk or various standard formulae. In addition, 20 infants fed a whey-hydrolysate formula were tested. An appropriate volume of milk was marked with sulfur-colloid Tc (200 microcuries). Measurements of gastric radioactivity were made 30 min and 120 min after ingestion. For the whole population, the infants with GOR had slightly more rapid GE after 30 min (P less than 0.05), but, for the same type of milk, there was no significant difference between GOR and controls. GE did not differ with age or sex, but differed mainly according to the type of milk. In the control group, gastric residual content (GRC) at 120 min was 18 +/- 11 per cent with human milk (n = 7), 16 +/- 21 per cent with whey-hydrolysate formula (n = 8), 25 +/- 17 per cent with acidified formula (n = 13), 26 +/- 19 per cent with whey-predominant formula (n = 22), 39 +/- 17 per cent with casein-predominant formulae (n = 20), 47 +/- 19 per cent with follow-up formulae (n = 16) and 55 +/- 19 per cent with cow's milk (n = 12).(ABSTRACT TRUNCATED AT 250 WORDS)
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To determine whether the metabolism of diet-derived triglycerides (TG) is acutely regulated by the consumption of insulinogenic carbohydrates, we measured the effects of glucose ingestion on oral and intravenous fat tolerance, and on serum triglyceride concentrations obtained during duodenal fat perfusion. Postprandial lipemia was diminished by the ingestion of 50 g (148 +/- 121 mg.dl-1 x 7 h-1 vs 192 +/- 124 mg.dl-1 x 7 h-1, P less than 0.05) and 100 g (104 +/- 106 mg.dl-1 x 7 h-1 vs 171 +/- 104 mg.dl-1 x 7 h-1, P less than 0.05) glucose. Peak postprandial TG concentrations occurred later after meals containing glucose and fat than after meals containing fat alone. This effect could be reproduced when an iso-osmotic quantity of urea was substituted for glucose in the test meal. Starch ingestion had no discernible effect on postprandial lipemia. Intravenous fat tolerance was similar before (4.9 +/- 1.2%.min-1) and 2 h (4.4 +/- 1.3%.min-1) and 4 h (4.8 +/- 1.5%.min-1) after 50 g glucose ingestion. During duodenal fat perfusion, glucose ingestion caused a progressive decrease in plasma triglyceride concentrations. These data suggest that glucose ingestion diminishes postprandial lipemia in a dose-dependent manner, but that this effect is not due to increased clearance of triglyceride from the circulation. The hypotriglyceridemic effects of glucose appear to reflect delayed gastric emptying and decreased hepatic secretion of triglyceride.
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Background: Protein induces an increase in insulin concentrations when ingested in combination with carbohydrate. Increases in plasma insulin concentrations have been observed after the infusion of free amino acids. However, the insulinotropic properties of different amino acids or protein (hydrolysates) when co-ingested with carbohydrate have not been investigated. Objective: The aim of this study was to define an amino acid and protein (hydrolysate) mixture with a maximal insulinotropic effect when co-ingested with carbohydrate. Design: Eight healthy, nonobese male subjects visited our laboratory, after an overnight fast, on 10 occasions on which different beverage compositions were tested for 2 h. During those trials the subjects ingested 0.8 g*kg(-)(1)*h(-)(1) carbohydrate and 0.4 g*kg(-)(1)*h(-)(1) of an amino acid and protein (hydrolysate) mixture. Results: A strong initial increase in plasma glucose and insulin concentrations was observed in all trials, after which large differences in insulin response between drinks became apparent. After we expressed the insulin response as area under the curve during the second hour, ingestion of the drinks containing free leucine, phenylalanine, and arginine and the drinks with free leucine, phenylalanine, and wheat protein hydrolysate were followed by the largest insulin response (101% and 103% greater, respectively, than with the carbohydrate-only drink; P < 0.05). Conclusions: Insulin responses are positively correlated with plasma leucine, phenylalanine, and tyrosine concentrations. A mixture of wheat protein hydrolysate, free leucine, phenylalanine, and carbohydrate can be applied as a nutritional supplement to strongly elevate insulin concentrations.
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