1 Department of Medical Sciences, Nutrition and Clinical Chemistry, Uppsala University, SE-75237 Uppsala, Sweden; and 2 Laboratory of Human Nutrition, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
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ABSTRACT |
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The effect
of a "normal" (n = 8) and "high" (n = 6)
protein intake (1 and 2.5 g · kg1 · day
1,
respectively) and of exercise on plasma amino acid (AA) concentrations, insulin, and glucagon concentrations was followed throughout a continuous 24-h period in adult male subjects at energy balance after
six days on a standardized diet and exercise program. Subjects were
fasting from 2100 on day 6 to 1200 on day 7 and then
fed 10 identical meals hourly until 2100. Physical exercise was
performed (46% maximal oxygen uptake) between 0830 and 1000 (fasting)
and in a fed state (1600-1730) on each day. The normal-protein
group showed fasting plasma AA concentrations that were higher
(P < 0.05) than those for the high-protein group, except for
leucine, methionine, and tyrosine. Glutamine, glycine, alanine,
taurine, and threonine concentrations were distinctly higher (~30%
or greater) throughout the 24-h period in subjects consuming the
normal- vs. the high-protein diets. Exercise appeared to increase,
although not profoundly, the plasma concentrations of amino acids
except for glutamate, histidine, ornithine, and tryptophan. The
profound diet-related differences in plasma AA concentrations are only partially explained by differences in the renal clearance of the amino
acids. We speculate on the possible metabolic basis for these findings.
energy balance; adult males
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INTRODUCTION |
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WE HAVE SHOWN IN ADULT HUMANS given diets supplying
about the equivalent of 1 g
protein · kg1 · day
1,
but with varying intakes of individual indispensable amino acids and
use of 13C-labeled amino acid tracers, that the rate of
catabolism of leucine (15, 62), valine (38), phenylalanine (53),
threonine (65), and tyrosine (3) is reflected by their concentrations
in the circulating blood and presumably the concentration in the free amino acid pools (40, 49). Furthermore, there is a diurnal fluctuation
in plasma amino acid concentrations (59) that is modulated by the
pattern (27, 64) and composition of meal intake (16, 17, 21). There is
also a meal-induced retention of amino acids and subsequent loss of
amino acids (or body protein) throughout the 24-h day, the amplitude of
which is also determined by the dietary protein level (43, 51).
Changes in plasma amino acid concentrations due to acute and more prolonged periods of physical exercise also have been described (13, 26, 33, 44, 46, 47, 50). However, essentially all the earlier studies have involved relatively short and infrequent periods of experimental observation during or after exercise, and the subjects studied had not usually been controlled strictly for their previous dietary protein intake level at energy balance. This makes it difficult to interpret and compare many of the earlier findings on plasma amino acid changes in relation to exercise and diet. Furthermore, there are few data available on the pattern of change in the concentration of specific amino acids in blood over a continuous 24-h period at a normal or high intake with or without short periods of moderate exercise. Hence, we thought it desirable to examine in some detail the pattern and degree of change in plasma amino acid concentrations over a continuous 24-h period in healthy subjects consuming diets supplying a normal and a high level of protein intake that is in the region of the recommended intakes proposed by some investigators (31, 32). We hypothesized that the plasma amino acid concentrations, especially the nutritionally indispensable amino acids, during the fed period of the day would reflect the prevailing dietary protein level and that, for the range of protein intake studied, there would be fewer distinct diet-related differences in the concentrations of these amino acids in plasma during the fasting period of the day.
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MATERIAL AND METHODS |
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Subjects
Eight healthy male volunteers [age, 29 ± 14 (mean ± SD) years; weight, 78 ± 7 kg; height, 187 ± 6 cm; body fat, 17 ± 6%] participated in the first study, and six healthy male volunteers [age, 29 ± 15 (mean ± SD) years; weight, 80 ± 12 kg, height, 186 ± 9 cm; body fat, 19 ± 5%] in the second study. One person participated in both studies, and his results reflected the group differences. The subjects were recruited from the population of students and employees at Uppsala University. They were physically fit but not competitive athletes, and all were in good health as determined by medical history and physical examination. None of them smoked or had excessive alcohol consumption. All subjects gave their written informed consent, and the study was approved by the Ethical Committee of the Faculty of Medicine at Uppsala University.Diet.
A standardized diet was consumed during the 7-day experimental period.
The diet was based on two major components, 1) a milk drink as
the principal protein source, flavored with banana or raspberry, and
2) specially prepared cookies as an energy source to balance
energy expenditure. During the first experiment, the protein intake was
1 g · kg1 · day
1,
and during the second period it was 2.5 g · kg
1 · day
1.
Milk protein from skim milk powder was the principal protein source in
both diets, so that the dietary amino acid pattern was the same for
both diets. The nonprotein fat-carbohydrate energy ratio also was kept
at 40:60 for both diets. Energy intake was given to keep the subjects
in energy balance. The macronutrient compositions of the two diets are
shown in Table 1 together with a summary of
their metabolic balances, and further details are given elsewhere (14,
22). For the normal-protein intake (1 g · kg
1 · day
1),
the milk drink comprised the protein source, and the protein-free cookies were used as an additional energy source to balance energy expenditure. The cookies were baked with an essentially protein-free mix (low-protein and milk-free mix from Semper AB, Stockholm, Sweden),
beet sugar, margarine, and sunflower oil, flavored with raisins or
chocolate. The cookies contained 0.3% energy from protein and 46 and
54% from fat and carbohydrate, respectively. For the high-protein
intake (2.5 g · kg
1 · day
1)
milk protein was also used as a protein source, but in this case it was
also added to the cookies, which provided ~40% of the total protein
intake.
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Energy expenditure. Basal metabolic rate (BMR) was calculated from the WHO/FAO/UNU equations (58). When calculating total energy expenditure, a physical activity level (PAL) factor of 1.55 (58) was used during day 1-6 and a factor of 1.27 during day 7, when the subjects were sedentary except for the two exercise periods (see below).
Physical activity.
The physical activity comprised two 90-min periods each day, with one
carried out in the morning and the other in the afternoon during the
entire 7-day period. During day 6 and 7, this meant that the
morning (0830-1000) exercise was performed while the subjects were
fasting (from 2100 of the previous day), and for the afternoon
(1600-1730) the exercise period occurred while the subjects were
continuing to receive the small equal meals each hour begun at 1200. The physical exercise was performed with an electronic bicycle
ergometer (Monark 829E, Monark Bodyguard, Vansbro, Sweden) at an
intensity corresponding to 46% of maximal oxygen uptake
(O2 max).
Collection of specimens.
On day 7, venous blood samples were collected every 30 min
(beginning at 0600 and continuing until 0600 the next day), except during the 90-min exercise periods when samples were collected every 15 min. The specimens were cooled immediately in ice water, centrifuged
(at 2,500 RPM), and the plasma was deproteinized within 30 min by means
of 50 mg sulphosalicylic acid/ml plasma and centrifuged. The
deproteinized specimens were kept frozen at 20°C until
analyzed, which was usually done within 1-2 wk. Urine samples were
collected during consecutive 3-h periods throughout the 24-h day (see
below) and kept frozen at
20°C until used for analysis.
Experimental Design
The subjects were studied on an outpatient basis during days 1-5 at the Energy Metabolic Unit (UPPCAL) of the Department of Medical Sciences, Nutrition unit, Uppsala University. They were given the experimental diets for seven days, and physical exercise was performed on the cycle ergometer within the metabolic unit. During days 1-5, the food was given as three major meals (breakfast, lunch, and dinner) with two small meals between. During days 6 and 7, the food was equally distributed as 10 small hourly meals from 1200 until 2100. On day 7, as previously described (14), a metabolic study was conducted involving a continuous infusion of [13C]leucine and [15N-15N]urea. A detailed description of the experimental design was presented earlier (14, 22), where the results of tracer kinetics were presented.Methods
The amino acid levels in plasma and urine (within a coefficient of variance of 1-2% for most of the amino acids) were determined by means of an automatic amino acid analyzer (LKB4151 Alpha Plus Amino Acid Analyser, Pharmacia-LKB Biochrom, Cambridge, UK) by use of the lithium buffer system according to the manual. Each analysis had DL-2,4-diamino-n-butyric acid as the internal standard, and the data obtained was corrected accordingly. An amino acid standard solution (Sigma Chemical, St. Louis, MO; product no. 9906) was analyzed at regular intervals as well as whenever a new batch of solutions and reagents was used; the coefficient of variation wasGlucagon levels in plasma were estimated with the Linco glucagon RIA kit (Linco Research, St. Louis, MO). Insulin in 50 µl serum (S-Insulin) was measured with a time-resolved noncompetitive sandwich fluoroimmunoassay (AutoDelfiaTM Insulin kit, Wallac Oy, Turku, Finland). Two different mouse monoclonal antibodies directed to different sites on the human insulin molecule were used. One was immobilized onto the walls of microtiter plates and the other in solution and labeled with europium chelate. The results were expressed in mU/l by use of the WHO 1st International Reference Preparation (66/304) of insulin for immunoassay as a reference. The cross-reactivity with proinsulin was 0.1%. The minimal detection limit was 0.3 mU/l. The within- and between-assay coefficients of variation were 1.5 and 2%, respectively.
Renal clearance. For the two diet groups, to determine amino acid clearance by the kidney, the blood sample taken at 0500 was used, and the urine output between 0300 and 0600 was measured and analyzed. Clearance was calculated as urine concentration × urine volume (millimeters per minute)/plasma concentration. The value was then expressed per standard 1.73 m2 (determined from a nomogram based on height and weight).
Evaluation of the data. Seven specific time points were chosen for purposes of evaluation of the plasma AA data: 1) after overnight fasting (0830), 2) during physical exercise while fasting (1000), 3) postexercise while fasting (1200), 4) during feeding before exercise (1600), 5) during physical exercise while feeding (1730), 6) postexercise during feeding (1900), and 7) during sleep (0500). For those amino acids (methionine, phenylalanine, threonine, glutamine, and taurine) for which the 24-h data are depicted (see below) the mean values for the periods 0530-0830, 0900-1000, 1100-1200, 1300-1600, 1615-1730, 1800-2100, and 2200-0600 were determined for the statistical analysis.
Data are summarized as means ± SD. Comparisons between diet groups for plasma and urinary amino acid concentrations and for urea and creatinine output (Table 4) were made by means of a t-test for independent samples. The plasma concentrations of free amino acids, insulin, and glucagon (Tables 2 and 3 and Figs. 1-5) were analyzed with mixed-models ANOVA (SAS v6.12 proc mixed). The 24-h plasma concentrations (Figs. 1-5) were first summarized into the seven time points listed above or by averaging measurements during each of the seven periods that were then classified by two factors, state (fasting, feeding, sleeping) and exercise [during, after, other (preexercise, if during fasting or feeding, or while sleeping)]. The models, therefore, considered two within-subject factors (state and exercise), the between-subject factor of diet, and their interactions. Interactions were removed from the model in a hierarchical manner until only significant interactions remained. A significant interaction was followed up with contrasts for pairwise differences of interest. If the interaction was not significant, main effects were examined, and pairwise differences between were evaluated as appropriate. Significance was taken to be P ![]() |
RESULTS |
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Tables 2 and 3
summarize the plasma AA concentrations, as well as the insulin and
glucagon levels, for the seven selected phases or times of day for
subjects receiving the normal- and high-protein intakes, respectively.
These data and those shown in the figures below are used to illustrate
the response of the AA concentrations to the diets and the two exercise
periods. To facilitate our presentation, it is possible with
statistical analysis to group the various amino acids in relation to
their responses to diet and exercise and for the various times/phases
of the day. Accordingly, the statistical analysis of the plasma AA
concentrations revealed six different response patterns, classified
according to which main effects (diet or protein intake, time phase or
fed and fast, and exercise), two-way interactions (two way, protein × phase, protein × exercise, phase × exercise), and
three-way interactions were significant (P 0.05). Furthermore, to
simplify presentation of this analysis six response codes are used:
no. 1, a significant 3-way interaction between protein intake,
phase, and exercise; no. 2, significant interactions of protein
x phase and phase x exercise; no. 3, only one significant
interaction of phase x exercise; no. 4, only one significant
interaction of protein x phase; no. 5, no effect of exercise
but significant effects of protein and phase and their interaction;
no. 6, no significant interactions but all three main effects
significant. Because this study did not include a nonexercise arm, we
have chosen not to give any major emphasis to the impact of exercise on
plasma amino acid concentrations in our brief summary of the results
toward the end of this section.
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Methionine (Fig. 1) and tyrosine (Tables 2
and 3) fell into response code 1, suggesting that their
concentrations depended on all three factors (protein, phase, and
exercise) together. For both these amino acids, their concentrations
during the fast phase were not significantly different between the two
protein intakes; however, they were higher for the high- vs.
normal-protein intake during the fed state.
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Phenylalanine (Fig. 2), together with
leucine, isoleucine, valine, and serine (Tables 2 and 3) fell, again
based on the statistical analysis, into response code 2. In
contrast to methionine and tyrosine, phenylalanine concentration was
lowered in the fast but not in the fed state at the high- vs.
normal-protein intake.
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Serine, isoleucine, and valine were all lower during the fast at the high-protein intake. The leucine concentration did not differ significantly during the fast between the two protein intakes, but together with valine and isoleucine, these concentrations were all higher with the high-protein level during the fed period, compared with values for the normal-protein diet.
Two amino acids, threonine (Fig. 3) and
alanine (Tables 2 and 3), fell into response code 3.
Concentrations of these amino acids were all lower at the high-protein
intake regardless of phase (or exercise). The difference in plasma
concentrations of threonine between the diets was about 102 µM.
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Plasma glutamine and taurine concentrations are depicted in Figs.
4 and 5,
respectively, which, together with arginine, citrulline, and lysine,
fell into response code 4 (Tables 2 and 3). Glutamine plasma
concentrations during the fast and fed periods were significantly (P < 0.001) higher on the normal vs. high-protein diets.
Glutamine concentrations during the 24-h day for the normal-protein
group approximated 700-750 µM or about 200-300
µmol · 11
higher than those for the high-protein group. At the 1-g protein intake
level, the glutamine concentrations did not differ significantly (P > 0.05) between the various phases of the day,
but they were higher (P < 0.001) during the fed vs. fast
phases when subjects consumed the high-protein diet.
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Taurine concentrations were higher for the normal-protein intake during both the fast and fed periods. Feeding increased plasma lysine, and the high-protein diet significantly reduced the concentration of lysine during the fast (P = 0.0018) but not the fed period. Arginine and citrulline concentrations were similarly lowered by the high-protein diet during the fast but not the fed phase of the day. Citrulline concentration decreased with feeding at normal- but not high-protein intake. In contrast, feeding increased the plasma arginine concentration at high- but not normal-protein intake.
The plasma concentrations of glutamic acid, histidine, ornithine, and tryptophan (response code 5; Tables 2 and 3) revealed significant effects of protein and phase and their interaction. This suggests that the differences between protein intake level depended on the phase of the day. In the case of ornithine, tryptophan, and histidine, the differences in concentrations between diets were significant during the fast and for glutamate during both the fast and the fed phases with the concentrations being lower in all cases at the high-protein intake.
Asparagine and glycine (Tables 2 and 3) are grouped in response code 6 because their plasma concentrations revealed no significant interactions, although all three main effects (phase, protein intake, and exercise) were significant. Glycine and asparagine concentrations were lower at the high-protein intake.
Glucagon concentrations (Table 2) were affected according to response code 2. Overall, they were significantly higher during the fed phase (P < 0.0001) at the high-protein intake, together with a tendency (P < 0.09) for this to be so during the fast. For insulin (Table 2), there was a small (~2 µU/l higher for the high-protein diet) but significant (P < 0.02) difference in the plasma concentration between the diet groups before and after the exercise periods.
The insulin-to-glucagon ratio (Table 2) changes and differences between the diet groups followed response code 2; it was increased with feeding and to a greater extent at the normal-protein intake.
The impact of exercise per se on plasma amino acid concentrations cannot be determined precisely from this study, because it requires a nonexercise group for additional comparison and complete interpretation. However, the 90-min exercise periods took place during fasting, when plasma concentrations were expected to remain relatively stable in the absence of exercise. Similarly, the exercise occurred during the feeding with small meals, when the changes in plasma amino acid concentrations in response to feeding were also expected to be at a relatively steady level with this mode of feeding. Therefore, some comparisons between the exercise and nonexercise periods also might be made here. Thus it appears that exercise raised significantly (P < 0.05) the concentrations of most of the amino acids during the fed state, although there were no apparent marked effects when judged from these data. There was little evidence of any major effects of exercise during the fast period. Exercise increased the glucagon concentration in both the fast and the fed conditions, whereas exercise decreased insulin concentrations, particularly in the fed state.
Finally, we assessed whether or not changes in clearance of amino acids
by the kidney might offer an explanation for the marked and constant
differences in the 24-h or fasted-state plasma concentrations of the
amino acids discussed above. Our estimates of plasma amino acid
clearance are summarized in Table 4. Here,
it is worth noting that creatinine clearance was the same for the two
diets, indicating that there were no profound differences in the
glomerular filtration rate between the diet groups. In contrast, urea
clearance was about half that for the high- vs. normal-protein diet.
Second, if the clearance of amino acids for the high-protein group is expressed as a ratio of that for the normal-protein group, it can be
seen that the clearance was consistently higher for the high-protein
group, except perhaps for glutamate, ornithine, and tyrosine. Thus the
sustained lower concentrations of glutamine (Fig. 4), alanine,
asparagine, glycine, and taurine (Fig. 5, Table 3) could be due in part
to a more efficient renal clearance rate, which was not compensated for
by an equivalent increase in the rate of entry of the amino acids into
circulation from endogenous or exogenous sources. A quantitative
evaluation of these data with respect to the observed plasma
concentration changes will be presented in DISCUSSION.
Finally, the concentration of the branched-chain amino acids (BCAA) in
urine was below a reliable limit of detection; hence, clearances could
not be established for these amino acids.
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DISCUSSION |
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The concentrations of the free amino acids in blood plasma are determined by various factors, including the level and pattern of amino acids supplied by the diet (40, 64), the tissue distribution of the metabolic pathways of amino acid metabolism, the status of the amino acid transport systems in the various organs (8, 55), and the pathophysiological condition of the organism, probably including the amount of muscle glycogen (57). Hence, changes in plasma amino acid concentrations and patterns are brought about by a complexity of factors that interact, making it difficult to identify fully the metabolic basis for alterations that are brought about, for example, by diet or physical exercise. Nevertheless, the present data offer new insights into how diet and exercise serve to collaborate in determining the concentrations of various amino acids in the circulation.
We had not anticipated the consistent and much lower concentrations of the dispensable (or conditionally indispensable) amino acids, as well as some of the indispensable amino acids, when the high- vs. normal-protein diet was consumed. Fernstrom et al. (21) had earlier shown that glycine and alanine concentrations were lower after subjects received 150 g egg protein/day than in those receiving 75 or 0 g protein daily. In this respect their findings are in agreement with ours. However, they report that threonine and serine plasma levels rose at all times of the day as more protein was added to the diet. In our study the concentration of threonine (Fig. 3) was lower throughout the entire day and serine significantly lower during the fast phase of the 24-h day when subjects received the high-protein diet. In addition, the concentrations of other indispensable amino acids (phenylalanine, lysine, isoleucine, valine, and tryptophan) were all reduced during the fast but not during the fed period of the day when the high-protein diet was consumed. On the other hand, leucine, methionine, and tyrosine concentrations were not reduced by feeding a high-protein diet.
The lower concentrations of the specific amino acids noted above were found to be related to an increased clearance of amino acids by the kidney when the high protein intake was given. Although the glomerular filtration rate (GFR), approximated from creatinine clearance, was not affected by the level of protein intake and remained within normal limits, the clearance rate was much higher at the high-protein intake for alanine, glutamine, asparagine, aspartic acid, lysine, phenylalanine, threonine, and taurine. This implies that the tubular reabsorption of these amino acids was reduced when the high-protein diet was consumed. Irrespective of the renal mechanism, however, an important issue is the extent to which changes in renal clearance might account for the differences in the amino acid levels between the two diets, and we now discuss this in reference to glutamine, alanine, taurine, and finally threonine and the BCAA.
Thus the rates of glutamine and alanine excretion in the urine for the
normal- and high-protein groups amounted to 0.1-0.24 µmol · kg1 · h
1,
based on the urine analysis conducted. There might have been differences in these rates at specific periods of the day, but because
the plasma differences for these two amino acids existed throughout the
entire 24-h period, this would not detract significantly from the
following discussion; thus these hourly losses via the kidney can be
compared with the rates of glutamine and alanine entry into the blood
circulation, which are ~350 and 250 µmol · kg
1 · h
1,
respectively (9, 11, 42, 60). Although these rates can be affected by
diet (36, 61) and hormonal status (12), for example, this does not
minimize the argument that their urinary excretion rates amount to a
small fraction (0.1%) of their plasma entry rates for the normal- and
high-protein groups. On this basis, therefore, it does not appear that
the changes observed in kidney clearance are responsible for the
altered plasma AA concentrations. Under conditions of an adequate but
not excessive protein intake, the rates of de novo glutamine and
alanine (12) synthesis are about 198 and 100 µmol · kg
1 · h
1,
respectively, or ~40-60% of the plasma entry rates. These rates are also high in relation to the absolute urinary losses and the differences observed here between the two diet groups. Hence, it
appears that the altered output of these amino acids via the kidney
would not bring about the plasma concentration changes observed;
rather, the rates of entry of glutamine and alanine into plasma were
probably reduced with high-protein feeding, and this might also have
been associated with increased clearance of the amino acids by the
splanchnic bed. Alanine and glutamine account for ~60-80% of
the amino acids released from skeletal muscles in postabsorptive hours,
with glutamine being dominant (18-20). The glutamine released from
muscle is metabolized to an important extent in the intestinal tissues
(1) where the nitrogen is then released as alanine and ammonia (29).
Similarly, dietary glutamate is almost entirely metabolized within the
intestinal tissues (4, 52). Also, it might be estimated, as noted
above, that about half the alanine and glutamine release from skeletal muscle is due to de novo synthesis, and the other half is due to direct
release of the amino acids from protein. It seems possible, therefore,
that one or both of these sources of glutamine and alanine may be
reduced with the feeding of a high-protein diet. Matthews and Campbell
(36) found that plasma glutamate and glutamine fluxes varied inversely
with the level of dietary protein intake, and these investigators
attributed the changes to de novo production of the amino acids. At the
0.1, 0.8, and 2.2 g
protein · kg
1 · day
1
intakes, the mean plasma glutamine concentrations reported by these
investigators were 616, 492, and 411 µM, respectively. Similarly, we
have reported an inverse relationship between the dietary protein intake level and plasma alanine flux (61). In addition, an increased protein intake appears to restrain body protein breakdown (22, 37).
This being the case, the direct release of alanine and glutamate from
proteins would also be attenuated. Clearly, additional studies are
required on the impact of high-protein diets on the kinetics of
glutamine and alanine metabolism and the interrelationships between the
skeletal muscle and splanchnic region.
Taurine (2-aminoethanesulfonic acid) also showed much lower
concentrations with the high- vs. normal-protein diet; it is readily excreted in the urine and metabolized within the liver, where it is
exported as a bile acid conjugate (25, 28). There does not seem to be
any oxidation of the amino acid by body tissues. We do not know what
the dietary taurine intake was in our experiment, but it is present in
relatively low concentrations in cow's milk, which served as the
source of protein in our experiment. Hence, the lower concentration in
the high-protein group would not appear to be due to distinct
differences in taurine intake. Furthermore, the dietary losses of
taurine via the urine amounted to about 200 µmoles/day (<3
µmol · kg1 · day
1) in both diet groups, and the
turnover of the bulk of taurine in the body is relatively slow (25).
Although additional taurine losses via the urine occur in the form of
inorganic sulphate, formed by the gut microflora, these are not
substantial. From these facts, and assuming that in adults the body
taurine pool is ~100-150 mmoles (25), it is apparent that there
would be little change in the turnover of taurine due to protein
intake. Therefore, we interpret our findings to mean that the dietary protein level altered either the entry of taurine into the plasma or
its reuptake by body tissues, unless losses of taurine in the bile were
substantially increased, which seems unlikely. Our interpretation is
consistent with the conclusion drawn by Huxtable (28) that transport,
rather than biosynthesis and metabolism, was of greater importance in
the regulation of body taurine homeostasis.
Finally, the nutritionally indispensable amino acids showed a diverse
pattern of response to the high-protein diet: plasma threonine levels
were consistently lower throughout the 24-h period in the high-protein
group, whereas the concentrations of isoleucine, valine, tryptophan,
and phenylalanine were lower in the fast period only. Threonine is
deaminated in the liver via threonine-serine dehydratase (SDH, EC
4.2.1.16), and its activity increases with total protein intake in
growing rats (2, 30). Therefore, it is possible that the splanchnic
clearance and catabolism of dietary and endogenous threonine was higher
when subjects received the high-protein diet. Coupled, perhaps, with
reduced rates of tissue (muscle) protein turnover (22), as noted above,
this would help to explain the plasma pattern of threonine observed here. Andersen et al. (2) reported that with higher liver SDH activity,
when rats were adapted to high (75% casein)-protein diets, the plasma
concentrations declined and reached substantially below those for rats
given lower-protein diets (5 and 2.5% casein). Furthermore, the
threonine levels noted here for the high-protein group are reminiscent
of those we have reported for limiting, and possibly inadequate,
dietary threonine intakes (56). BCAA are catabolized to an important
extent in the muscle (24), and dietary changes in the supply of protein
or of BCAA have been shown to result in adaptive changes in the
activity of branched-chain -ketoacid dehydrogenase (EC 1.2.4.4) in
liver and muscle of experimental animals (24). Thus the capacity for
BCAA catabolism appears to be responsive to dietary change, and this
might be why lowered concentrations of isoleucine and valine were
observed in the fast state when the high-protein diet was consumed.
Previously (22), we reported a higher loss of leucine via sweat for subjects receiving the high-protein intake. The difference in daily loss between the two diet groups was about 10 mg/day or approximately <0.02% of the plasma leucine flux. Therefore, it would seem unlikely on this basis that increased sweat losses of amino acids at the higher intake would contribute significantly to the plasma amino acid responses observed.
Although we tend to favor the idea that the reduced plasma concentrations for glutamine and alanine, and perhaps of isoleucine and valine, are due to lower outputs from peripheral tissues (muscle), it is also possible that their rates of clearance, as well as those for glycine, serine, and threonine, may have also been increased due to an induction of amino acid degrading enzymes, especially in the splanchnic region. This would result, in association with lower production and/or release from proteins, in a depletion of tissue free amino acids, as well as in the size of the plasma pool, during the fasting state. Thus the pool would then be maintained at a smaller size than that for the case of a normal protein intake, where not only the intake but the rate of degradation is probably lower. Evidence in support of this is to be found in the rat feeding experiments carried out by Harper et al. some years ago (2, 30, 48) and more recently by Moundras et al. (39). Whether an increased uptake of amino acids by the splanchnic region would also have been promoted by the high glucagon and lowered insulin-to-glucagon ratio that we see for the high-protein group is not known. However, an increased splanchnic catabolism of amino acids has been proposed as an in vivo action of glucagon (10), although this might not apply to all amino acids, such as leucine (35). However, glucagon appears to be an important regulator of hepatic glutamine uptake, which increases independently of the fasted state (23, 54).
Finally, the apparent changes in plasma amino acids in response to the
physical exercise deserve a brief comment. For both diets, the plasma
amino acid levels did not appear to respond to exercise in a
quantitatively profound way to the two 90-min exercise periods.
Generally, their concentrations increased with exercise, and this was
most evident during the fed phase. Whether alterations in plasma volume
contributed to these changes cannot be determined. Furthermore, in
contrast to the findings by Paul et al. (46, 47), we did not observe
marked reductions in the BCAA or tryptophan or increases in glutamine
and alanine during exercise while the subjects remained in the fast
state. It is possible that the difference in findings between the
experiments are related to the fact that our subjects had undergone the
exercise program for six days before the measurements, whereas the
subjects studied by Paul et al. (46, 47) had not been preconditioned to
the bike-ride exercise, which in their case was set at 60% of peak
oxygen uptake
(O2 peak), compared
with 46% in the present study. On the other hand, Blomstrand et al.
(6), observed little decrease in the BCAA in endurance athletes after
80 min of exercise at 70%
O2 max, as did
Henriksson (26) within ~90 min of a bicycle ergometer exercise at
about 50%
O2 max. A
decrease after sustained intense exercise, in the form of a 30-km
cross-country race and also of a full marathon, was observed (7). The
findings of MacLean et al. (33) for the BCAA in subjects given a mixed diet and exercised at 75%
O2 max to near
exhaustion are also comparable. Finally, resistance exercise, at least,
accelerates amino acid transport (5), and it is possible that the 24-h plasma amino acid patterns observed here were modulated by the exercise
periods that each subject experienced during the six days before and on
day 7 of the 24-h metabolic study.
In conclusion, we have observed profound diet-induced differences, apparently affected to only a relatively minor extent by exercise, in plasma concentrations of the various amino acids, especially the nutritionally dispensable or conditionally indispensable amino acids. The plasma concentration of glutamine during the high-protein intake period was low, and similar to that in stressed and catabolic patients (41, 45). Taurine levels were also reduced by ~50% when the high-protein diet was given. This amino acid may have a protective effect in cardiovascular disease (28). For these reasons alone it is important to further explore the mechanism of action of a high-protein diet on plasma amino acid concentrations and their control.
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ACKNOWLEDGEMENTS |
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We thank Prof. A. Harper and Dr. Steven F. Abcouwer for their helpful ideas regarding the interpretation of our findings.
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FOOTNOTES |
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This study was supported by National Institutes of Health Grants RR-88 and DK-15856; and SJFR 50.020494 and STINT 96/52, Swedish Medical Research Council Project No. K98-04x-12592, Swedish Nutrition Foundation.
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. §1734 solely to indicate this fact.
Address for reprint requests and other correspondence: L. Hambraeus, Dept. of Medical Sciences, Nutrition Unit, Dag Hammarskjölds väg 21, SE-752 37 Uppsala, Sweden (E-mail: Leif.Hambraeus{at}medsci.uu.se).
Received 24 March 1999; accepted in final form 15 November 1999.
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