|
|
||||||||
1 Departments of Medicine (Neurology and Rehabilitation) and 2 Kinesiology, McMaster University, Hamilton, Ontario L8N 3Z5; and 3 Human Biology and Nutrition, University of Guelph, Guelph, Ontario, Canada N1G ZW1
| |
ABSTRACT |
|---|
|
|
|---|
We demonstrated that female endurance athletes did not
increase their muscle glycogen concentration after an increase in the dietary carbohydrate intake (58
74%), whereas men did (Tarnopolsky MA, SA Atkinson, SM Phillips, and JD McDougall, J Appl
Physiol 78: 1360-1368, 1995). This may have been related to a
lower energy or carbohydrate intake by the women or due to an inherent
gender difference in glycogen storage capacity. We examined whether
well-trained men (n = 6) and women (n = 6) increased muscle glycogen concentration after an increase in both
the relative (58
75%) and absolute energy and carbohydrate intake
and whether potential gender differences were related to muscle
hexokinase enzyme activity. Subjects were randomly allocated to three
diets [Hab, habitual; CHO, high carbohydrate (75%); and CHO + E,
extra energy + CHO (
~34%)] for a 4-day period before a
muscle biopsy for analysis of total and pro- and macroglycogen and
hexokinase activity. Total glycogen concentration was higher for the
men on the CHO and CHO + E trials compared with Hab
(P < 0.05), whereas women increased only on the
CHO + E trial compared with Hab (P < 0.05). There
were no gender differences in the proportion of pro- and macroglycogen
or hexokinase activity. A low energy intake may explain the previously
reported lower capacity for women to glycogen load compared with men.
sex difference; hexokinase; glycogen; ergogenic aids
| |
INTRODUCTION |
|---|
|
|
|---|
AN INCREASING
NUMBER OF STUDIES are finding gender differences in
the metabolic response to endurance exercise (6, 10, 15, 17,
22-24). Consistently, studies have shown that women have a
lower respiratory exchange ratio (RER) compared with men during
submaximal endurance exercise (6, 10, 15, 17, 22-24).
Animal data suggest that the female sex hormone 17-
-estradiol may
mediate these metabolic differences (5, 12, 13, 18).
The aforementioned gender differences could have implications for nutritional recommendations for female athletes. For example, our laboratory previously reported that female endurance athletes did not increase muscle glycogen concentration in response to an increase in dietary carbohydrate intake from 58 to 74% of energy intake, yet men showed an increase with the same dietary modification (23). Furthermore, a recent study has also found that women increase muscle glycogen in response to a high dietary carbohydrate intake "but the magnitude was smaller than that previously observed in men" (25). Both groups proposed several mechanisms to explain the apparent gender difference in carbohydrate loading.
First, dietary energy intake is lower in women compared with men, even
when expressed relative to lean mass (17, 23). This
translates into a lower carbohydrate intake for women compared with men
when expressed relative to fat-free mass (FFM; the largest pool of
glucose disposal). For example, we found that the carbohydrate intake
for men was 7.7-9.6 g · kg
FFM
1 · day
1 and for women was
5.9-7.9 g · kg
FFM
1 · day
1, when the subjects
increased their carbohydrate intake from 58 to 74% of energy intake
(23). The majority of studies examining carbohydrate
loading have been conducted using predominantly or exclusively male
subjects, and the carbohydrate intake on the high carbohydrate diet was
usually >8.5 g · kg
FFM
1 · day
1 (3, 11,
20). Thus the provision of extra energy during a
carbohydrate-loading regimen may allow women to increase their carbohydrate intake to >8.5 g · kg
FFM
1 · day
1 and permit muscle
glycogen supracompensation. We have recently shown that, when men
and women consume carbohydrate expressed relative to body weight
(glucose 1 g · kg
1 · day
1,
immediately and 1 h post) after endurance exercise, the
rate of glycogen resynthesis over the next 4 h was
similar between the genders (24). Finally, in the
study by Spriet and colleagues (25), the carbohydrate
intake on the high carbohydrate diet was 10.1 g · kg
FFM
1 · day
1, and the women
did increase muscle glycogen by 13% compared with their habitual
intake, although this increase was less than that reported previously
for men (3, 11, 20).
A second hypothesis that could explain the apparent inability of women to carbohydrate load is that there are gender differences in the muscle enzymatic and/or transport capacity for glycogen storage. One candidate enzyme is hexokinase, because the mRNA for this enzyme has been shown to increase significantly after insulin infusion in humans (14) and is reported to be higher in untrained to moderately trained men compared with women (8, 21). Work in animals did not show an effect of estradiol on GLUT-4 content (9). Furthermore, if GLUT-4 migration to the sarcolemma were differentially affected between the genders, we would not have found similar rates of glycogen resynthesis during the first 4 h after exercise in an earlier study (24). Thus we do not feel that glucose transport can explain a potential gender difference in glycogen synthesis.
More recently, there has been a renewed interest in the characterization of the two forms of muscle glycogen, termed pro- and macroglycogen (1, 2). Proglycogen has a smaller mass compared with macroglycogen, and the latter is the main portion that increases in response to the consumption of a high carbohydrate intake (2). To date, studies have not examined whether gender differences exist in the proportion of these two forms of glycogen, nor whether there is a gender-specific response in each of the pools in response to dietary carbohydrate loading.
The purpose of the current study was to examine whether the provision of extra energy, in conjunction with additional absolute carbohydrate, would allow women to increase muscle glycogen concentration by a similar amount compared with men in response to a modified dietary carbohydrate-loading protocol. Secondary objectives were to determine whether hexokinase activity and/or differences in the proportion of pro- and macroglycogen could explain the previously described gender differences in dietary carbohydrate loading.
| |
METHODS |
|---|
|
|
|---|
Subjects
Seven female and six male endurance-trained athletes volunteered for the study. They were advised of the risks associated with the study and signed written consent forms approved by the McMaster University Research Advisory Committee. Men were selected on the basis of a training history of consistent participation in endurance-type physical activity for at least 1 yr (minimum of 5 days/wk and 45 min/session) and peak oxygen consumption (
O2 peak) of at least 55 ml · kg
1 · min
1. The women
met the same training criteria and had a
O2 peak of at least 45 ml · kg
1 · min
1.
All female subjects were eumenorrheic with a normal cycle length. Four
of the women were taking triphasic-type oral contraceptives. The women
were tested during the midfollicular phase of their menstrual cycle
(Hab, day 6.2 ± 3; CHO, day 8.2 ± 5.3; CHO + E, day
6.8 ± 4; see below for definition of groups); during the
midfollicular phase of the menstrual cycle, we have not found
significant differences in the plasma 17-
-estradiol concentration
between women taking oral contraceptives and those not (Carter and
Tarnopolsky, unpublished observations).
O2 peak was determined within 2 wk of the first trial by using a cycle ergometer and a computerized open-circuit gas collection system as previously described
(23).
O2 peak was
considered to be the highest value recorded during an incremental
ergometer protocol with termination of the test occurring when pedal
revolutions could not be maintained at >60 revolutions/min despite
vigorous encouragement and the RER was >1.12. Total body fat mass and
FFM were determined by using dual-energy X-ray absorptiometry (QDR
1000W, Hologic, Waltham, MA) in the late afternoon, a minimum of 4 h after the
O2 peak test and after ad
libitum rehydration. Each subject completed prospective diet records
for three weekdays and one weekend day during this 2-wk period.
Subjects were given detailed instructions about diet recording and used
measuring cups during this period. The composition and energy content
of each subject's diet was then analyzed using a computer-based
nutrient analysis program (Nutritionist V, N-Squared Computing, San
Bruno, CA) (Table 1).
|
Design
Each of the subjects completed three 5-day trials in a randomized, double-blinded fashion. On the basis of each individual's dietary analyses, diets were packaged and provided to each subject at the beginning of each 5-day trial: Hab, habitual intake; CHO, isoenergetic, but 75% of energy was from carbohydrates; and CHO + E, carbohydrate proportion at 75% plus ~34% additional energy (the difference between men's and women's habitual energy intake). Subjects were instructed to adhere strictly to each diet and were permitted to consume water ad libitum. Each participant was to return any uneaten food and recorded daily consumption. Compliance was >96%; however, all of the women complained that they were very full on the CHO + E diet and correctly identified this diet. The dietary characteristics are given in Table 2.
|
On the day before the first day of an experimental trial, subjects
cycled for 60 min at 65% of their
O2 peak. After the 60-min ride, they
performed 2-min intervals at 85% of their
O2 peak five times to further deplete
muscle glycogen concentration. They then cycled for 60, 45, and 30 min
at 65%
O2 peak on days 1,
2, and 3 of the 5-day trial, respectively. Day 4 was a rest day. On day 5, the subjects
consumed breakfast and lunch from the prepackaged diet and then arrived
for muscle biopsy 4 h after the last meal (late afternoon). The
muscle biopsy was taken from the vastus lateralis by using suction
modification and 2% lidocaine without epinephrine. The sample was
immediately dissected free of any connective tissue and cut into a
piece for glycogen analysis (~30 mg) and another piece for hexokinase
activity analysis (~30 mg). The samples were immediately quenched in
liquid nitrogen and stored at
80°C until subsequent analysis (<2
mo; see below).
Analyses
Hexokinase activity. Maximal muscle hexokinase enzyme activity was determined by using a single piece of homogenized muscle (~30 mg wet wt). Samples were homogenized in a phosphate buffer containing 0.02% BSA, 5 mM mercaptoethanol, and 0.5 mM EDTA (pH = 7.4). This crude extract (~80 µg wet muscle) was then added to 100 µl of Tris-HCl buffer containing 5 mM glucose, 5 mM ATP, 2 mM MgCl2, 0.5 mM NAD+, 0.5% Triton X-100, 0.05% BSA, and glucose-6-phosphate dehydrogenase (2 U/ml). This reaction was allowed to proceed for 1 h at room temperature until addition of HCl and incubation at 95°C for 3 min to stop the reaction. After the reaction was stopped, 1 ml of 50 mM imidazole buffer, 100 µM NADP+, 30 mM ammonium acetate, 5 mM MgCl2, 1 mM EDTA, and phosphogluconate dehydrogenase (0.1 U/ml) were added and allowed to stand at room temperature for 15 min. HK activity was determined by the amount of NADPH fluorescence measured against standards of glucose-6-phosphate (3-10 mM). Protein concentration of the homogenate was also determined by using a Bradford method (Biorad, Hercules, CA). Values were expressed as moles per kilogram protein per hour.
Pro- and macroglycogen. The other piece of muscle was lyophilized overnight and dissected free of visible blood and connective tissue. Approximately 2-3 mg were extracted into perchloric acid, and pro- and macroglycogen were determined by using an enzymatic method as previously described (1). Total glycogen was taken as the sum of proglycogen + macroglycogen and was reported as millimoles glucosyl units per kilogram dry mass.
Statistical Analysis
An independent t-test was used to compare the physical characteristics of the subjects. The glycogen, diet analysis, and hexokinase activity were analyzed by using a two-way ANOVA (between variable = men and women; within variable = 3 diets). Given that our a priori hypothesis was that men and women would have differing glycogen responses (23), we also used a one-way ANOVA to analyze the glycogen data. A Newman-Keuls post hoc test was used to locate pairwise differences. A probability of P < 0.05 was taken to indicate significance. Correlations between hexokinase activity and glycogen concentration were performed by using Pearson product-moment correlation analysis. All data were analyzed using a computerized statistical program (Statistica, V. 5.1, Statsoft, Tulsa, OK). All data in tables and figure are means ± SD.| |
RESULTS |
|---|
|
|
|---|
Diet Analysis
Women consumed less energy than men when expressed as total energy intake (P < 0.01) and per kilogram of body weight (P < 0.05), yet values were similar when expressed relative to FFM. By design, both men and women consumed ~34% more energy on the CHO + E diet compared with either Hab or CHO (P < 0.001). Also by design, the percent of energy derived from protein and fat was lower and from carbohydrates was higher on the CHO and CHO + E diets compared with Hab (P < 0.01). Carbohydrate intake expressed per kilogram was lower during each trial for women compared with men (P < 0.05), yet there were no gender differences when expressed relative to lean mass. As expected, carbohydrate intake was higher for both men and women on the CHO vs. Hab diet and the CHO + E vs. both the CHO and Hab diets (P < 0.01 and 0.001, respectively). A summary of the diet analysis is found in Table 2.Hexokinase Activity
There were no significant differences between genders or within diet conditions for hexokinase activity (Table 3). Furthermore, there was no correlation between hexokinase activity and muscle glycogen concentration (not significant).
|
Glycogen
For total glycogen, there was a significant main effect for diet (P < 0.05) with the CHO and CHO + E diets showing higher concentrations compared with Hab. Post hoc analysis showed that the delta values for men were above the critical value (P < 0.05) for an increase from Hab to CHO (537.2 ± 78.6
660.2 ± 120.1) and Hab to CHO + E (537.2 ± 78.6
741.1 ± 187.7), whereas the women did not significantly
increase muscle glycogen from Hab to CHO (629.1 ± 231.1
650.6 ± 187.9; not significant), yet they did increase from Hab
to CHO + E (629.1 ± 231.1
737.7 ± 198.1) (all
values are mmol glucosyl units · kg dry mass
1).
When a one-way repeated-measures ANOVA was used for each of the men and
women, the results were identical. Macroglycogen was higher for the
CHO + E compared with the Hab trial for men only (P < 0.05). There were no gender effects for
proglycogen and macroglycogen measurements (Fig.
1).
|
| |
DISCUSSION |
|---|
|
|
|---|
These results confirm an earlier report that concluded that women did not increase muscle glycogen stores in response to an increase in the dietary proportion of carbohydrates from ~58 to 75% of energy intake, whereas men did show an increase (23). The novel finding was that the women were able to increase their muscle glycogen stores by a magnitude that was similar to that seen for men in response to a higher energy and carbohydrate intake.
We have previously reported that women did not increase their muscle
glycogen concentration in response to an increase in dietary
carbohydrate intake from 58 to 74% of energy intake, yet men showed a
significant increase (23). One of the proposed mechanisms
was that the carbohydrate intake was too low for the women to
supracompensate glycogen stores because of their low energy intake
(23). In that study, we demonstrated that the carbohydrate
intake for the women on the high-carbohydrate diet (75% of energy
intake) was 7.9 g carbohydrate · kg
FFM
1 · day
1, which was similar to
the male intake of 7.7 g carbohydrate · kg
FFM
1 · day
1 on the habitual
carbohydrate intake diet (~58% carbohydrate) (23). Our
results contrast slightly with those of Spriet and colleagues
(25) in that they found that women did increase muscle glycogen storage in response to an increase in dietary carbohydrate intake. However, there are important differences between the studies that could explain these inconsistencies. First, the low-carbohydrate diet in their study provided 48% of the energy from carbohydrates whereas the high-carbohydrate diet provided 78% of energy from carbohydrates (25), compared with our values of 58 and
75%, respectively. Second, in their study the women were tested in the
luteal phase of the menstrual cycle (25), when the rate of
glycogen resynthesis is greater compared with the follicular phase
(16). We specifically tested each of our women in the midfollicular phase of the menstrual cycle to control for the potential
variance introduced by the differential rates of glycogen storage seen
between the phases (16).
In the current study, women achieved a carbohydrate intake above 8.0 g · kg FFM
1 · day
1 on the
CHO diet due to an unexpectedly high percent body fat for the women
(hence, a lower FFM). In spite of this, the women did not show an
increase in their muscle glycogen stores in response to an increase in
the percent of dietary carbohydrate, yet the men did show an increase.
This may also relate to the fact that the women only increased their
carbohydrate intake relative to total mass to 6.4 g
carbohydrate · kg
1 · day
1
on the 75% energy diet, whereas the men were at 7.9 g
carbohydrate · kg
1 · day
1.
Many of the previously reported studies of carbohydrate
supracompensation have used male subjects and a carbohydrate intake of
>8.0 g
carbohydrate · kg
1 · day
1
(3, 11, 20). Therefore, our results are in agreement with review articles stating that a carbohydrate intake of 8.0-10.0 g
carbohydrate · kg
1 · day
1
is required to carbohydrate load (4). For a female athlete consuming 2,000 kcal/day, a carbohydrate intake of 8.0-10.0 g carbohydrate · kg
1 ·day
1
would equate to ~93-120% of habitual energy intake, assuming a
body mass of 60 kg. Clearly, it would be impractical (and impossible for the higher intake) for an athlete to consume a diet with this proportion of carbohydrates. Therefore, the only practical method for a
female athlete to glycogen supracompensate is to consume more energy.
Given that an elite athlete would only have to perform this dietary
intervention a few times per year, and that the total extra energy
would amount to only 2,800 kcal over 4 days, it is a dietary strategy
that is likely to be acceptable.
Another interesting finding in the current study was that the men
increased their muscle glycogen stores with the extra energy intake. It
is possible that they were just below a threshold for maximal
supracompensation at 7.9 g
carbohydrate · kg
1 · day
1
and the increase in energy allowed their carbohydrate intake to be
optimized. A limitation of the current study is the absence of
performance data; however, now that we have established that women can
increase muscle glycogen, future studies should use carefully
controlled and well-powered studies to demonstrate whether the expected
increase in performance is realized from this increase. In an earlier
gender-comparative study, our laboratory found that exercise
performance was correlated with the increased muscle glycogen content
for both men and women (women did not load or increase endurance time,
whereas men increased glycogen concentration by 41% and performance by
45%) (23). Another study did find an increase in
endurance exercise performance of 8.5% and an increase in muscle
glycogen of 13% in women after a carbohydrate-loading protocol
(25). Together, these studies provide strong evidence that, if women can increase their muscle glycogen using the
recommendations contained in this paper, their endurance exercise
capacity should be enhanced (23, 25).
In addition to the current results with carbohydrate loading, we have
previously demonstrated that men and women show a similar increase in
muscle glycogen after endurance exercise (first 4 h) when given a
diet supplying 1.0 g carbohydrate · kg
1
immediately and at 1 h postexercise (24). These
results provided evidence that, at least in the early postexercise
period, there were no gender differences in the rate of glycogen
resynthesis when the carbohydrate provision was expressed relative to
body weight (24). From a practical standpoint, the current
study and our previous one (24) provide strong evidence
that nutritional recommendations for athletes need to consider habitual
energy intake and to express carbohydrate intake as grams carbohydrate per kilogram per day or grams carbohydrate per kilogram FFM per day
(4).
Two groups have reported that muscle hexokinase activity was higher in men compared with women (8, 21). There is some evidence that hexokinase activity may be a factor in determining muscle glycogen concentration (14). Insulin, which increases in response to an increase in dietary carbohydrate, increases the mRNA for hexokinase but not glycogen synthase (14). For these reasons, we measured hexokinase activity to see whether gender differences could explain the apparent inability of women to carbohydrate load. The results of the current study suggested that gender differences in absolute and relative carbohydrate intake can explain the apparent inability of women to carbohydrate load and that hexokinase activity per se is not a major determinant of this phenomenon. Our results also show that hexokinase activity is not different between well-trained men and women (7). Although it is possible that there are gender differences in other enzymes (i.e., glycogen synthase) or transporters (i.e., GLUT-4) important in glycogen synthesis, the fact that merely increasing energy intake (and hence absolute and relative carbohydrate intake) allowed for similar rates of glycogen supracompensation would mitigate against this hypothesis. With respect to GLUT-4, there is one report that found that complete ovarian hormone deficiency did not alter GLUT-4 protein content (9). Although indirect, the fact that the rate of glycogen resynthesis was the same for men and women in the first 4 h after endurance exercise (when changes in GLUT-4 would be most likely to influence glycogen resynthesis rates) after various nutritional supplements (24) provided evidence that insulin and contraction stimulated GLUT-4 sarcolemmal migration was not likely to be different between the genders.
In addition to the practical and mechanistic observations mentioned above, we have also shown that there are no inherent gender differences in basal pro- and macroglycogen concentration in human skeletal muscle. However, we did demonstrate that macroglycogen increased on the carbohydrate + energy diet for the men only. This increase in response to a higher carbohydrate intake is similar to the conclusions based on observations in another study using only men (2) but does indicate that there may be subtle gender differences that should be considered in future research. A recent study also measured glycogenin concentration in human skeletal muscle and found a strong correlation between glycogenin activity and glycogen resynthesis rates (19). Although we found that energy intake/absolute carbohydrate intake is/are the major determinant(s) of the ability to carbohydrate load, potential gender differences in glycogenin activity could have subtle gender-specific effects on muscle glycogen concentration and should be examined in future studies.
Overall, these findings provide support for the hypothesis that the previously reported gender difference in carbohydrate loading was due to gender differences in absolute and relative carbohydrate intakes. Therefore it is unlikely that gender differences in either enzymatic capacity and/or glucose transport could explain the earlier observations. Future studies should test the potential performance benefits from the dietary carbohydrate and energy manipulation proposed in this paper.
| |
ACKNOWLEDGEMENTS |
|---|
This study was supported by NSERC Canada. J. Shearer was supported by a grant from NSERC Canada (industrial grant with Gatorade).
| |
FOOTNOTES |
|---|
Address for reprint requests and other correspondence: M. A. Tarnopolsky, Rm. 4U4, Dept of Neurology, McMaster Univ. Medical Center, 1200 Main St. W., Hamilton, ON, Canada L8N 3Z5 (E-mail: tarnopol{at}mcmaster.ca).
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. Section 1734 solely to indicate this fact.
Received 5 July 2000; accepted in final form 6 April 2001.
| |
REFERENCES |
|---|
|
|
|---|
1.
Adamo, KB,
and
Graham TE.
Comparison of traditional measurements with macroglycogen and proglycogen analysis of muscle glycogen.
J Appl Physiol
84:
908-913,
1998
2.
Adamo, KB,
Tarnopolsky MA,
and
Graham TE.
Dietary carbohydrate and postexercise synthesis of proglycogen and macroglycogen in human skeletal muscle.
Am J Physiol Endocrinol Metab
275:
E229-E234,
1998
3.
Bergstrom, J,
Hermansen L,
Hultman E,
and
Saltin B.
Diet, muscle glycogen and physical performance.
Acta Physiol Scand
71:
140-150,
1967[ISI][Medline].
4.
Burke, LM,
and
Hawley JA.
Carbohydrate and exercise.
Curr Opin Clin Nutr Metab Care
2:
515-520,
1999[Medline].
5.
Ellis, GS,
Lanza-Jacoby S,
Gow A,
and
Kendrick ZV.
Effects of estradiol on lipoprotein lipase activity and lipid availability in exercised male rats.
J Appl Physiol
77:
209-215,
1994
6.
Friedlander, AL,
Casazza GA,
Horning MA,
Huie MJ,
Piacentini MF,
Trimmer JK,
and
Brooks GA.
Training-induced alterations of carbohydrate metabolism in women: women respond differently from men.
J Appl Physiol
85:
1175-1186,
1998
7.
Gauthier, JM,
Theriault R,
Theriault G,
Gelinas Y,
and
Simoneau JA.
Electrical stimulation-induced changes in skeletal muscle enzymes of men and women.
Med Sci Sports Exerc
24:
1252-1256,
1992[ISI][Medline].
8.
Green, HJ,
Fraser IG,
and
Ranney DA.
Male and female differences in enzyme activities of energy metabolism in vastus lateralis muscle.
J Neurol Sci
65:
323-331,
1984[ISI][Medline].
9.
Hansen, PA,
McCarthy TJ,
Pasia EN,
Spina RJ,
and
Gulve EA.
Effects of ovariectomy and exercise training on muscle GLUT-4 content and glucose metabolism in rats.
J Appl Physiol
80:
1605-1611,
1996
10.
Horton, TJ,
Pagliassotti MJ,
Hobbs K,
and
Hill JO.
Fuel metabolism in men and women during and after long-duration exercise.
J Appl Physiol
85:
1823-1832,
1998
11.
Karlsson, J,
and
Saltin B.
Diet, muscle glycogen, and endurance performance.
J Appl Physiol
31:
203-206,
1971
12.
Kendrick, ZV,
and
Ellis GS.
Effect of estradiol on tissue glycogen metabolism and lipid availability in exercised male rats.
J Appl Physiol
71:
1694-1699,
1991
13.
Kendrick, ZV,
Steffen CA,
Rumsey WL,
and
Goldberg DI.
Effect of estradiol on tissue glycogen metabolism in exercised oophorectomized rats.
J Appl Physiol
63:
492-496,
1987
14.
Mandarino, LJ,
Printz RL,
Cusi KA,
Kinchington P,
O'Doherty RM,
Osawa H,
Sewell C,
Consoli A,
Granner DK,
and
DeFronzo RA.
Regulation of hexokinase II and glycogen synthase mRNA, protein, and activity in human muscle.
Am J Physiol Endocrinol Metab
269:
E701-E708,
1995
15.
McKenzie, S,
Phillips SM,
Carter SL,
Lowther S,
Gibala MJ,
and
Tarnopolsky MA.
Endurance exercise training attenuates leucine oxidation and BCOAD activation during exercise in humans.
Am J Physiol Endocrinol Metab
278:
E580-E587,
2000
16.
Nicklas, BJ,
Hackney AC,
and
Sharp RL.
The menstrual cycle and exercise: performance, muscle glycogen, and substrate responses.
Int J Sports Med
10:
264-269,
1989[ISI][Medline].
17.
Phillips, SM,
Atkinson SA,
Tarnopolsky MA,
and
MacDougall JD.
Gender differences in leucine kinetics and nitrogen balance in endurance athletes.
J Appl Physiol
75:
2134-2141,
1993
18.
Rooney, TP,
Kendrick ZV,
Carlson J,
Ellis GS,
Matakevich B,
Lorusso SM,
and
McCall JA.
Effect of estradiol on the temporal pattern of exercise-induced tissue glycogen depletion in male rats.
J Appl Physiol
75:
1502-1506,
1993
19.
Shearer, J,
Marchand I,
Sathasivam P,
Tarnopolsky MA,
and
Graham TE.
Glycogenin activity in human skeletal muscle is proportional to muscle glycogen concentration.
Am J Physiol Endocrinol Metab
278:
E177-E180,
2000
20.
Sherman, WM,
Costill DL,
Fink WJ,
and
Miller JM.
Effect of exercise-diet manipulation on muscle glycogen and its subsequent utilization during performance.
Int J Sports Med
2:
114-118,
1981[ISI][Medline].
21.
Simoneau, JA,
and
Bouchard C.
Human variation in skeletal muscle fiber-type proportion and enzyme activities.
Am J Physiol Endocrinol Metab
257:
E567-E572,
1989
22.
Tarnopolsky, LJ,
MacDougall JD,
Atkinson SA,
Tarnopolsky MA,
and
Sutton JR.
Gender differences in substrate for endurance exercise.
J Appl Physiol
68:
302-308,
1990
23.
Tarnopolsky, MA,
Atkinson SA,
Phillips SM,
and
MacDougall JD.
Carbohydrate loading and metabolism during exercise in men and women.
J Appl Physiol
78:
1360-1368,
1995
24.
Tarnopolsky, MA,
Bosman M,
Macdonald JR,
Vandeputte D,
Martin J,
and
Roy BD.
Postexercise protein-carbohydrate and carbohydrate supplements increase muscle glycogen in men and women.
J Appl Physiol
83:
1877-1883,
1997
25.
Walker, JL,
Heigenhauser GJ,
Hultman E,
and
Spriet LL.
Dietary carbohydrate, muscle glycogen content, and endurance performance in well-trained women.
J Appl Physiol
88:
2151-2158,
2000
This article has been cited by other articles:
![]() |
R. J Maughan and S. M Shirreffs Nutrition and hydration concerns of the female football player Br. J. Sports Med., August 1, 2007; 41(suppl_1): i60 - i63. [Abstract] [Full Text] [PDF] |
||||
![]() |
A B Loucks Refutation of "the myth of the female athlete triad" Br. J. Sports Med., January 1, 2007; 41(1): 55 - 57. [Full Text] [PDF] |
||||
![]() |
C. Roepstorff, M. Donsmark, M. Thiele, B. Vistisen, G. Stewart, K. Vissing, P. Schjerling, D. G. Hardie, H. Galbo, and B. Kiens Sex differences in hormone-sensitive lipase expression, activity, and phosphorylation in skeletal muscle at rest and during exercise Am J Physiol Endocrinol Metab, November 1, 2006; 291(5): E1106 - E1114. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. A. Duhamel, J. G. Perco, and H. J. Green Manipulation of dietary carbohydrates after prolonged effort modifies muscle sarcoplasmic reticulum responses in exercising males Am J Physiol Regulatory Integrative Comp Physiol, October 1, 2006; 291(4): R1100 - R1110. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. A. Duhamel, H. J. Green, J. G. Perco, and J. Ouyang Effects of prior exercise and a low-carbohydrate diet on muscle sarcoplasmic reticulum function during cycling in women J Appl Physiol, September 1, 2006; 101(3): 695 - 706. [Abstract] [Full Text] [PDF] |
||||
![]() |
J S Volek, C E Forsythe, and W J Kraemer Nutritional aspects of women strength athletes Br. J. Sports Med., September 1, 2006; 40(9): 742 - 748. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. M. Gillen, J. Vaughan, and B. R. Lye An online tutorial for helping nonscience majors read primary research literature in biology Advan Physiol Educ, September 1, 2004; 28(3): 95 - 99. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Perreault, J. M. Lavely, B. C. Bergman, and T. J. Horton Gender differences in insulin action after a single bout of exercise J Appl Physiol, September 1, 2004; 97(3): 1013 - 1021. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. L. Andrews, D. A. Sedlock, M. G. Flynn, J. W. Navalta, and H. Ji Carbohydrate loading and supplementation in endurance-trained women runners J Appl Physiol, August 1, 2003; 95(2): 584 - 590. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. C. Ruby, A. R. Coggan, and T. W. Zderic Gender differences in glucose kinetics and substrate oxidation during exercise near the lactate threshold J Appl Physiol, March 1, 2002; 92(3): 1125 - 1132. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Visit Other APS Journals Online |