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J Appl Physiol 82: 1662-1667, 1997;
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Journal of Applied Physiology
Vol. 82, No. 5, pp. 1662-1667, May 1997
EXERCISE AND MUSCLE

Carbohydrate and the cytokine response to 2.5 h of running

S. L. Nehlsen-Cannarella1, O. R. Fagoaga1, D. C. Nieman2, D. A. Henson2, D. E. Butterworth2, R. L. Schmitt1, E. M. Bailey1, B. J. Warren2, A. Utter2, and J. M. Davis3

1 Immunology Center and Department of Pathology, Loma Linda University Medical Center, Loma Linda, California 92350; 2 Department of Health, Leisure, and Exercise Science and Department of Biology, Appalachian State University, Boone, North Carolina 28608; and 3 Department of Exercise Science, School of Public Health, University of South Carolina, Columbia, South Carolina 29208

ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
ACKNOWLEDGEMENTS
FOOTNOTES
REFERENCES


ABSTRACT

Nehlsen-Cannarella, S. L., O. R. Fagoaga, D. C. Nieman, D. A. Henson, D. E. Butterworth, R. L. Schmitt, E. M. Bailey, B. J. Warren, A. Utter, and J. M. Davis. Carbohydrate and the cytokine response to 2.5 h of running. J. Appl. Physiol. 82(5): 1662-1667, 1997.---This randomized, double-blind, placebo-controlled study was designed to determine the influence of 6% carbohydrate (C) vs. placebo (P) beverage ingestion on cytokine responses (5 total samples over 9 h) to 2.5 h of high-intensity running (76.7 ± 0.4% maximal O2 uptake) by 30 experienced marathon runners. For interleukin-6 (IL-6), a difference in the pattern of change between groups was found, highlighted by a greater increase in P vs. C immediately postrun (753 vs. 421%) and 1.5 h postrun (193 vs. 86%) [F(4,112) = 3.77, P = 0.006]. For interleukin-1-receptor antagonist (IL-1ra), a difference in the pattern of change between groups was found, highlighted by a greater increase in P vs. C 1.5 h postrun (231 vs. 72%) [F(2,50) = 6.38, P = 0.003]. No significant interaction effects were seen for bioactive IL-6 or IL-1beta . The immediate postrun plasma glucose concentrations correlated negatively with those of plasma cortisol (r = -0.67, P < 0.001); postrun plasma cortisol (r = 0.70, P < 0.001) and IL-6 levels (r = 0.54, P = 0.003) correlated positively with levels of IL-1ra. Taken together, the data indicate that carbohydrate ingestion attenuates cytokine levels in the inflammatory cascade in response to heavy exertion.

immune system; cortisol; interleukin-6; interleukin-l; interleukin-1-receptor antagonist


INTRODUCTION

STRENUOUS PHYSICAL EXERCISE such as long-distance running typically results in muscle soreness and injury. The response to tissue injury after exercise is analogous to the acute-phase response to inflammation resulting from infection (2). Intense exercise elicits some of the cytokines involved in inflammation, such as tumor necrosis factor-alpha (TNF-alpha ), interleukin (IL)-1alpha /beta (IL-1alpha /beta ), and IL-6, which work synergistically (2, 16). The inflammatory process is limited or reversed through several pathways including the production of anti-inflammatory cytokines [IL-1-receptor antagonist (IL-1ra), IL-4, IL-10, cortisol, and prostaglandin E2] (2).

Although heavy exertion is felt to affect both inflammatory and anti-inflammatory components, few studies have provided cytokine data from both sides of this control system (2, 6, 22). Drenth et al. (13) collected plasma samples on 19 athletes before and after they ran 6 h and reported a 286% increase in IL-6 and a 371% increase in IL-1ra but no change in plasma concentrations of IL-1 or TNF-alpha . Despite the difficulties inherent in measuring plasma cytokine concentrations (2, 8), other studies of subjects exercising intensively for 60 min or more have reported increases in plasma concentrations of IL-6 (22, 27, 28) but a variable IL-1 response, with some reporting an increase (6, 29) and others no change (27, 28). IL-1 has been found in both muscle and urine after exercise (7, 27), so it is believed that this cytokine is increased in response to exercise despite the difficulty in detecting it in postexercise plasma (2). Reported inconsistencies in plasma levels may be due to differing collection times and assay sensitivities, but they are most likely due to its short half-life (12). Moderate endurance exercise [e.g., 1 h of cycling at 60% maximal O2 uptake (VO2 max)] appears to have little effect on acute-phase response cytokines (26).

To our knowledge, no attempts have been made to alter plasma cytokine levels during intensive and prolonged endurance exercise by nutritional or chemical means (2, 22). Nutrient supplements have been studied for their effect in modulating cytokine levels in efforts to improve the immune dysfunction of surgery and cancer (24). Proinflammatory cytokines activate the hypothalamic-pituitary-adrenocortical (HPA) axis, providing a natural negative-feedback system through the anti-inflammatory actions of epinephrine and cortisol that inhibit the release of IL-1 and IL-6 from monocytes and macrophages (1, 2). Carbohydrate supplementation during prolonged endurance exercise has been associated with higher blood glucose and lower cortisol, epinephrine, and growth hormone responses (10, 18, 20, 21, 25). Given the role of stress hormones in regulating the inflammatory process and the release of cytokines, we designed a randomized, double-blind, placebo-controlled study to investigate the influence of carbohydrate ingestion on the inflammatory cytokine response to 2.5 h of intensive running. We studied IL-1beta , IL-6, and IL-1ra to investigate effects on the early and late phases of inflammation and on the anti-inflammatory resolution phase, respectively. We hypothesized that carbohydrate vs. placebo supplementation would keep plasma glucose levels at a higher level, attenuating the rise in epinephrine and cortisol and both pro- and anti-inflammatory cytokines.


METHODS

Subjects

Thirty experienced marathon runners (24 men and 6 women) were recruited who met the following subject-selection criteria: 25-59 yr of age; marathon race time of <4 h within the previous year; average training distance of >= 30 km/wk during the previous year; completion of at least two marathon race events; and 4 or more yr of running experience.

Experimental Design

Runners were unevenly randomized into carbohydrate (n = 17)- or placebo (n = 13)-supplement groups. Runners from each group recorded food intake for 3 days before the simulated marathon run, choosing foods from a list that ensured a carbohydrate intake of ~60% of total calories. Nutrient intake was assessed by using the computerized dietary-analysis system Food Processor Plus, version 6.0 (ESHA Research, Salem, OR).

This study was conducted during the months of May and June. During the subjects' first appointment, their height, weight, body composition, and maximal cardiorespiratory fitness were measured. Body composition was assessed from hydrostatic weighing, and VO2 max was determined by utilizing a graded maximal treadmill protocol (5, 23). O2 uptake and ventilation were measured by using the MedGraphics CPX metabolic system (MedGraphics St. Paul, MN). Maximal heart rate was measured by using the Quinton Q4000 Stress Test System (Quinton Instrument, Seattle, WA). Training history and demographic factors were assessed through use of a questionnaire.

Within 2 wk of their first appointment, subjects reported to the Human Performance Laboratory in a 12-h fasted and rested condition at 0700. Subjects indicated that they had avoided intensive exercise the day before testing and all exercise for at least 12-15 h and that they were free of symptoms associated with respiratory infections. After the subjects rested for 10-15 min, a blood sample was taken from each. Next, the runners consumed 0.75 liter of a 6% carbohydrate (Gatorade, Quaker Oats, Barrington, IL) or placebo beverage before the run. The beverages were prepared by the Gatorade Sports Science Institute. Treatments were double blind, and carbohydrate and placebo beverages were identical in appearance and taste. Except for carbohydrate concentration, the two fluids were identical in sodium (~19.0 meq/l) and potassium (~3.0 eq/l) concentration and in pH (~3.0).

The marathoners ran on treadmills from 0730 to 1000 at a pace adjusted to elicit a workload ~75-80% of VO2max. Metabolic and heart rate measurements were made every 20 min during the run to ensure that subjects were maintaining the appropriate workload. Runners ingested 0.250 liter of carbohydrate or placebo fluid every 15 min during the run. Immediately after the 2.5-h run, at 1000, blood samples were obtained from the runners, followed by samples taken at 1130, 1300, and 1600. Subjects drank 500 ml/h of carbohydrate or placebo fluid during the first 1.5 h of recovery and then 250 ml/h during the last 4.5 h of recovery. After the 1130 blood sampling, subjects ate a meal ad libitum, choosing foods from the same food list they had adhered to during the 3 days before the study.

Cytokine Measurements

Five blood samples per subject were drawn from an antecubital vein into heparinized tubes with subjects in the seated position (after 10-15 min of rest, except for the immediate postrun sample). The collection tubes were immediately chilled and centrifuged, with plasma samples frozen at -80°C until analysis (cytokine, hormone, and glucose levels). IL-6 (both total plasma levels and bioactive) and cortisol were measured from all five blood samples. Several parameters (IL-1beta , IL-1ra, glucose, and catecholamines) that were anticipated to be near baseline levels by 1.5 h postexercise were not measured at the 3- and 6-h postrun time points.

Total plasma IL-1beta and IL-6 measurements. IL-1beta and IL-6 were measured with MEDGENIX solid-phase enzyme-amplified sensitivity immunoassay (INCSTAR, Stillwater, MN) enzyme-linked immunoabsorbent assay kits. These assays are based on an oligoclonal system, in which a blend of monoclonal antibodies directed against distinct epitopes of each interleukin molecule is used to capture antibodies. The minimum detectable concentration of plasma IL-1beta and IL-6 is 2 pg/ml.

Plasma bioactive IL-6 assay. A standard proliferative bioassay (9) was used to measure the activity of human IL-6. Briefly, multiple dilutions of plasma samples (plasma inhibitors of IL-6 were inactivated by heating) and a standard (human recombinant IL-6; Collaborative Biomedical Products/Becton-Dickinson Labware, Bedford, MA) were tested in culture for their ability to stimulate proliferation of IL-6-responsive 7TD1 mouse hybridoma cells (American Type Culture Collection, Rockville, MD). The assays were done in triplicate. The amount of proliferation was assessed by the level of [3H]thymidine uptake. Interassay variability was monitored by using an internal control in each assay. The final IL-6 mean concentration for the internal controls was 4.51 ± 0.65 U/ml, giving us confidence in the sensitivity and reproducibility of this assay. The IL-6 bioassay has a detection limit of ~1 pg/ml of active cytokine.

Total plasma IL-1ra. Total plasma IL-1ra was measured with the use of a quantitative sandwich enzyme-linked immunoabsorbent assay technique by using monoclonal antibodies specific for IL-1ra as capture antibodies (R&D Systems, Minneapolis, MN). The minimum detectable level of plasma IL-1ra is <14 pg/ml.

Hormones, Glucose, and Plasma Volume

Plasma cortisol was assayed by using a competitive solid-phase 125I radioimmunoassay technique (Diagnostic Products, Los Angeles, CA). For plasma epinephrine and norepinephrine, blood samples were drawn into chilled tubes containing EGTA and glutathione (no. RPN532 Vacutainer tubes, Amersham) and centrifuged, and the plasma was stored at -80°C until analysis. Plasma concentrations of epinephrine were determined by high-pressure liquid chromatography with electrochemical detection (19). Plasma was analyzed spectrophotometrically for glucose (prerun, immediately postrun, and 1.5-h postrun samples) (17). Plasma volume changes were estimated by using the method of Dill and Costill (11).

Statistical Analysis

Data are expressed as means ± SE. Leukocyte subsets, hormone values, and all immune function measurements were analyzed by using 2 (carbohydrate and placebo groups) × 3 or 5 (times of measurement) repeated-measures analysis of variance. The change from baseline for the immediate postexercise and 1.5-, 3-, and 6-h recovery values was compared between groups by using Student's t-test. For these four multiple comparisons, a Bonferroni adjustment was made, with statistical significance set at P < 0.013, and values between this and 0.05 were treated as trends. Pearson product-moment correlations for glucose, cortisol, epinephrine, and various cytokine measurements were calculated within the group of marathon runners to test the strength of these associations.


RESULTS

Table 1 summarizes subject characteristics for the runners in the carbohydrate and placebo groups. Groups did not differ significantly in any of the training and fitness parameters measured. The 30 runners can be characterized as nonelite but highly experienced and committed to marathon running.

Table 1. Subject characteristics


Carbohydrate Placebo

Age, yr 40.5 ± 1.8  42.9 ± 2.3 
Height, m 1.73 ± 0.02  1.76 ± 0.02 
Weight, kg 68.4 ± 2.2  68.8 ± 2.1 
Body fat, %  13.9 ± 1.1  12.9 ± 0.9 
 VO2 max, ml · kg-1 · min-1 53.4 ± 1.3  53.4 ± 1.6 
HRmax, beats/min 177 ± 3  177 ± 3 
 VEmax, l/min 141 ± 7  144 ± 9 
RERmax 1.31 ± 0.04  1.22 ± 0.02 
Running distance, km/wk 67.5 ± 5.0  60.1 ± 5.0 
Running experience, yr 12.7 ± 1.7  16.7 ± 2.5 
Marathon personal best, min 200.6 ± 5.5  201.1 ± 5.5 
Total marathons completed 15.9 ± 3.5  23.4 ± 6.4

Values are means ± SE; n = 17 carbohydrate and 13 placebo subjects. VO2 max, maximal O2 uptake; HRmax, maximal heart rate; VEmax, maximal minute ventilation; RERmax, maximal respiratory exchange ratio.

Nutrient analysis of the 3-day food records revealed no significant differences between groups. Energy intake for all subjects combined was 2,368 ± 114 calories/day, with the proportion of carbohydrate at 62.6 ± 1.5%, fat at 22.3 ± 1.2%, and protein at 15.7 ± 0.4%.

The carbohydrate and placebo groups did not differ significantly in any of the performance measurements taken during the 2.5-h run, except for the average respiratory exchange ratio (0.93 ± 0.01 and 0.89 ± 0.01, respectively, P = 0.009) and the ending rating of perceived exertion by using the 6-20 scale (14.8 ± 0.3 and 16.3 ± 0.4, respectively, P = 0.004). As a group, the 30 marathon runners averaged 11.9 ± 0.2 km/h during the 2.5-h run at a heart rate of 151 ± 2 beats/min or 85.5 ± 0.5% of the maximum heart rate, an O2 uptake of 40.9 ± 0.8 ml · kg-1 · min-l or 76.7 ± 0.4% of VO2 max, a ventilation volume of 89.3 ± 3.2 l/min or 63.2 ± 1.4% of maximal ventilation, and a breath rate of 43.4 ± 1.6 breaths/min. The laboratory temperature averaged 23.8 ± 0.2°C, with a relative humidity of 51.9 ± 0.6%. All runners consumed fluids according to the research design, including 2.5 liters during the 2.5-h run. The average runner lost 0.35 ± 0.14 kg of body weight (0.4 ± 0.2%). Plasma volume changes were minimal, and the pattern of change over all time points did not differ significantly between the two groups [F(3.26) = 0.90; P = 0.453]; for the pre- to immediate postexercise period, plasma volume change for the carbohydrate and placebo groups was only -1.5 ± 0.4 and -1.0 ± 0.4%, respectively.

The cytokine data are summarized in Table 2 and Figs. 1 and 2. The pattern of change over time between groups was not significantly different for bioactive IL-6 or total plasma IL-1beta but was significant for total plasma IL-6 [F(4,112) = 3.77, P = 0.006] and IL-1ra [F(2,50) = 6.3, P = 0.003]. For total plasma IL-6, a greater increase from prerun levels was measured for the placebo vs. carbohydrate groups at the immediate postrun (753 and 421%, respectively, P = 0.028) and 1.5-h postrun (193 vs. 86%, respectively, P = 0.018) time points. By 1.5 h postrun, plasma IL-lra had risen 231 vs. 72% in the placebo and carbohydrate groups, respectively (P = 0.013). Significant time effects were found for IL-6 (bioactive) but not IL-lbeta (total). For all subjects combined, IL-6 (bioactive) rose 49% immediately after the run, returning close to prerun levels by 1.5 h postrun.

Table 2. Bioactive interleukin-6 and total plasma interleukin-1beta concentrations in carbohydrate and placebo groups before and after 2.5 h of treadmill running at 76.7 ± 0.4% VO2 max


Prerun (0715) Postrun (1000) 1.5 h Postrun (1130) 3 h Postrun (1300) 6 h Postrun (1600) Effect, Group × Time; Effect, Time

Interleukin-6
  C (n = 12) 15.4 ± 2.0  24.9 ± 4.3  13.4 ± 2.0  15.0 ± 2.8  11.2 ± 1.7  0.710; <0.001
  P (n = 6) 12.9 ± 2.5  15.6 ± 1.8  9.61 ± 1.44  9.75 ± 2.03  8.53 ± 1.27 
Interleukin-1beta
  C (n = 15) 16.7 ± 3.6  17.4 ± 3.9  14.6 ± 2.3  0.606; 0.113
  P (n = 13) 15.8 ± 1.8  13.4 ± 1.5  11.8 ± 1.0 

Values are means ± SE, expressed as pg/ml; n = no. of subjects. C, carbohydrate group; P, placebo group; nos. in parentheses, time on 24-h system.


Fig. 1. Pattern of change in total plasma interleukin-6 (IL-6) over time between groups was significantly different [F(4,112) = 3.77, P = 0.006], with plasma concentrations rising higher after 2.5-h run in placebo group compared with carbohydrate (Carb) group. * Significantly different from prerun between groups, P < 0.05.
[View Larger Version of this Image (16K GIF file)]


Fig. 2. Pattern of change in total plasma interleukin-1-receptor antagonist (IL-1ra) over time between groups was significantly different [F(2,50) = 6.38, P = 0.003], with plasma concentrations rising higher 1.5 h postrun in placebo group compared with Carb group. * Significatly different from prerun between groups, P < 0.05.
[View Larger Version of this Image (16K GIF file)]

Figure 3 and Table 3 summarize the plasma cortisol, catecholamine, and glucose data. The patterns of change over time between groups for cortisol [F(4,25) = 3.46, P = 0.022] and glucose [F(2,27) = 10.0, P = 0.001], but not epinephrine [F(2,26) = 1.94, P = 0.164], were significantly different, with cortisol higher and glucose concentrations lower in the placebo group after the 2.5-h run. The immediate postrun glucose concentration correlated negatively with cortisol (r = -0.67, P < 0.001) and epinephrine (r = -0.54, P = 0.002). The 1.5-h postrun total IL-1ra correlated positively with the averages of immediate postrun and 1.5-h postrun cortisol levels (r = 0.70, P < 0.001) (Fig. 4) and total plasma IL-6 (r = 0.54, P = 0.003). No significant correlation between postrun cortisol and total plasma IL-6 was found.


Fig. 3. Pattern of change in cortisol over time between groups was significantly different [F(4,25) = 3.46, P = 0.022]. Difference in change from prerun between groups tended to be higher in placebo vs. Carb group at both immediate postrun (P = 0.073) and 1.5-h postrun (P = 0.054) time points.
[View Larger Version of this Image (17K GIF file)]

Table 3. Catecholamine and glucose response in C and P groups after 2.5 h of treadmill running


Prerun (0715) Postrun (1000) 1.5 h Postrun (1130) Effect, Group × Time; Effect, Time

Epinephrine, nmol/l
  C 0.81 ± 0.14  1.03 ± 0.19  0.76 ± 0.10  0.164; 0.034
  P 0.73 ± 0.11  1.37 ± 0.12  1.16 ± 0.21 
Norepinephrine, nmol/l
  C 1.80 ± 0.29  6.57 ± 0.42  2.74 ± 0.41  0.117; <0.001
  P 2.43 ± 0.29  8.34 ± 0.64  3.16 ± 0.40 
Glucose, mmol/l
  C 4.80 ± 0.13  6.65 ± 0.17dagger 4.97 ± 0.22* 0.001; <0.001
  P 4.87 ± 0.21  5.26 ± 0.39  4.44 ± 0.16 

Values are means ± SE for 17 carbohydrate and 13 placebo subjects. Significantly different from prerun between groups: * P < 0.05; dagger P < 0.0125.


Fig. 4. Plasma levels of cortisol (average of immediate postrun and 1.5 h postrun) correlated significantly with 1.5-h postrun levels of total plasma IL-1ra (r = 0.70, P < 0.001). black-triangle, Carb group; star, placebo group.
[View Larger Version of this Image (11K GIF file)]


DISCUSSION

In agreement with Drenth et al. (13), we showed that intensive, prolonged exercise is associated with a strong increase in plasma concentrations of both IL-6 and IL-1ra but not IL-1beta . We have extended this information, showing that carbohydrate vs. placebo ingestion was associated with higher plasma glucose and lower plasma cortisol, IL-6, and IL-1ra concentrations. These data suggest that carbohydrate ingestion attenuates both the pro- and anti-inflammatory responses to heavy exertion, a conclusion strengthened by the significant correlations between plasma glucose and cortisol, cortisol and IL-1ra, and IL-1ra and IL-6.

As a part of the body's natural negative-feedback system, proinflammatory cytokines activate the HPA axis and the sympathoadrenergic system, exerting strong anti-inflammatory actions (2). Epinephrine and cortisol both inhibit the release of IL-1 and IL-6 from isolated monocytes (1). We sought to alter the stress hormonal response to heavy exertion through carbohydrate ingestion and then study whether the plasma inflammatory cytokine response was affected. Release of adrenocorticotropic hormone and cortisol during exercise has been linked, in part, to decreases in blood glucose concentrations (10, 18, 20, 21), with a variable effect on epinephrine (20, 21). Although decreases in blood glucose are not typical during and after intensive long-distance running, the data from the present study do suggest that carbohydrate ingestion is associated with higher plasma glucose and lower plasma cortisol levels after 2.5 h of intensive running. For all subjects, there was a strong negative correlation between postrun plasma glucose and cortisol levels, with a moderate negative effect on epinephrine.

The onset of inflammation is brought about by tissue macrophages, smooth muscle cells, and fibroblasts responding to muscle cell injury and producing cytokines of the IL-1 and TNF families; these are called early or "alarm" cytokines (3, 14). IL-1 and TNF act on fibroblasts and endothelial cells to produce a secondary front of cytokines, which includes IL-6 and IL-8 (3). The main mediator of the acute-phase response is IL-6, which, in turn, is regulated by IL-1 (15). The elevation of IL-6 helps induce synthesis of acute-phase proteins (inflammatory); it also upregulates IL-1ra production and activates the HPA axis, both anti-inflammatory. These parameters correlated in our study. As reviewed by Bagby et al. (2), few studies have examined the tissue site of cytokine production in response to exercise. Ullum et al. (28) were unable to detect exercise-induced changes in blood mononuclear cell mRNA for various cytokines and surmised that a tissue other than blood produces IL-6 and IL-1. Probable sources are the active muscle, other metabolically active tissues in which proinflammatory events are occurring (2, 4, 7), and the brain (30).

The data from the present study suggest that carbohydrate must be having some effect starting in the metabolically active tissue areas because of its effect in lowering IL-6, an important inducer of the inflammatory cascade. In the carbohydrate group, total plasma IL-6 was lower than in the placebo group, which was then linked to lower total IL-1ra and cortisol. Although plasma glucose was higher in the carbohydrate group, and correlated strongly and negatively to cortisol, it is likely that the first step in the chain of events occurred within the metabolically active tissues. Alternatively, the energy demands of the brain may not have been satisfied throughout the 2.5-h run in the placebo group, and this deficiency could have generated a stress signal. Both of these pathways may have simultaneously contributed to the stress response.

Carbohydrate ingestion had a significant effect on the pattern of response of total plasma IL-6 but not bioactive IL-6 after 2.5 h of running. For all subjects combined, total plasma IL-6 rose 551% immediately after exercise compared with 49% for bioactive IL-6. We used a standard proliferative bioassay, in which plasma samples were tested in culture for their ability to stimulate proliferation of IL-6-responsive 7TD1 mouse hybridoma cells (9). We expected to find that the proliferative response was higher in the placebo vs. the carbohydrate group because of its higher total plasma IL-6. These are the first bioactive IL-6 data to be presented in the exercise immunology literature, and further research is warranted to establish the usefulness of this assay under exercise conditions.


ACKNOWLEDGEMENTS

We acknowledge the assistance of the following individuals in this research project: Leslie Brooks, Melinda Ekkens, Eric Garges, Alex Koch, Jepera Parker, Marvin Rainwater, Angie Ward, and Franklin Williams.


FOOTNOTES

   This work was funded by the Gatorade Sports Science Institute.

Address for reprint requests: D. C. Nieman, Dept. of Health, Leisure, and Exercise Science, Appalachian State Univ., Boone, NC 28608.

Received 11 November 1996; accepted in final form 21 January 1997.


REFERENCES

1. Amano, Y., S. W. Lee, and A. C. Allison. Inhibition by glucocorticoids of the formation of interleukin-lalpha , interleukin-1beta , and interleukin-6: mediation by decreased mRNA stability. Mol. Pharmacol. 43: 176-182, 1993 [Abstract] .
2. Bagby, G. J., L. D. Crouch, and R. E. Shepherd. Exercise and cytokines: spontaneous and elicited responses. In: Exercise and Immune Function, edited by L. Hoffman-Goetz. Boca Raton, FL: CRC, 1996, p. 55-77.
3. Baumann, H., and J. Gauldie. The acute phase response. Immunol. Today 15: 74-80, 1994 [Medline] .
4. Belcastro, A. N., G. D. Arthur, T. A. Albisser, and D. A. Raj. Heart, liver, and skeletal muscle myeloperoxidase activity during exercise. J. Appl. Physiol. 80: 1331-1335, 1996 [Abstract/Free Full Text] .
5. Bruce, R. A., F. Kasumi, and D. Hosmer. Maximal oxygen intake and nomographic assessment of functional aerobic impairment in cardiovascular disease. Am. Heart J. 85: 546-562, 1973 [Medline] .
6. Bury, T. B., R. Louis, M. F. Radermecker, and F. Pirnay. Blood mononuclear cell mobilization and cytokines secretion during prolonged exercises. Int. J. Sports Med. 17: 156-160, 1996 [Medline] .
7. Cannon, J. G., R. A. Fielding, M. A. Fiatarone, S. F. Orencole, C. A. Dinarello, and W. J. Evans. Increased interleukin-1beta in human skeletal muscle after exercise. Am. J. Physiol. 257 (Regulatory Integrative Comp. Physiol. 26): R451-R456, 1989 [Abstract/Free Full Text] .
8. Cannon, J. G., J. L. Nerad, D. D. Poutsiaka, and C. A. Dinarello. Measuring circulating cytokines. J. Appl. Physiol. 75: 1897-1902, 1993 [Abstract/Free Full Text] .
9. Coligan, J. E. Current Protocols in Immunology. New York: Wiley, 1995, p. 6.2.4, 6.6.
10. Davis, J. M., V. E. Cokkinides, W. A. Burgess, and W. P. Bartoli. Effects of a carbohydrate-electrolyte drink or water on the stress hormone response to prolonged intense cycling: renin, angiotensin I, aldosterone, ACTH, and cortisol. In: Hormones and Sports, edited by Z. Laron, and A. D. Rogol. New York: Raven, 1989, p. l93-204.
11. Dill, D. B., and D. L. Costill. Calculation of percentage changes in volumes of blood, plasma, and red cells in dehydration. J. Appl. Physiol. 37: 247-248, 1974. [Free Full Text]
12. Dinarello, C. A. Interleukin-1. In: The Cytokine Handbook (2nd ed.)., edited by A. W. Thomson. London: Academic, 1994, p. 31-56.
13. Drenth, J. P., S. H. M. Van Uum, M. Van Deuren, G. J. Pesman, J. Van Der VenJongekrijg, and J. W. M. Van Der Meer. Endurance run increases circulating IL-6 and IL-1ra but downregulates ex vivo TNF-alpha and IL-1beta production. J. Appl. Physiol. 79: 1497-1503, 1995 [Abstract/Free Full Text] .
14. Galley, H. F., and N. R. Webster. The immuno-inflammatory. Br. J. Anaes. 77: 11-16, 1996 [Free Full Text] .
15. Hirano, T., S. Akira, T. Taga, and T. Kishimoto. Biological and clinical aspects of interleukin-6. Immunol. Today 11: 443-449, 1990 [Medline] .
16. Hoffman-Goetz, L., and B. K. Pedersen. Exercise and the immune system: a model of the stress response? Immunol. Today 15: 382-387, 1994 [Medline] .
17. Hyvarinen, A., and E. A. Nikkila. Specific determination of blood glucose with o-toluidine. Clin. Chim. Acta 7: 140-143, 1962. [Medline]
18. MacLaren, D. P., T. Reilly, I. T. Campbell, and K. N. Frayn. Hormonal and metabolite responses to glucose and maltodextrin ingestion with or without the addition of guar gum. Int. J. Sports Med. 15: 466-471, 1994 [Medline] .
19. Maruta, K., K. Fujita, S. Ito, and T. Nagatsu. Liquid chromatography of plasma catecholamines, with electrochemical detection, after treatment with boric acid gel. Clin. Chem. 30: 1271-1273, 1984 [Free Full Text] .
20. Mitchell, J. B., D. L. Costill, J. A. Houmard, M. G. Flynn, W. J. Fink, and J. D. Beltz. Influence of carbohydrate ingestion on counterregulatory hormones during prolonged exercise. Int. J. Sports Med. 11: 33-36, 1990 [Medline] .
21. Murray, R., G. L. Paul, J. G. Seifent, and D. E. Eddy. Responses to varying rates of carbohydrate ingestion during exercise. Med. Sci. Sports Exercise 23: 713-718, 1991 [Medline] .
22. Northoff, H., C. Weinstock, and A. Berg. The cytokine response to strenuous exercise. Int. J. Sports Med. 15: S167-S171, 1994 .
23. Pollock, M. L., J. H. Wilmore, and S. M. Fox. Exercise in Health and Disease: Evaluation and Prescription for Prevention and Rehabilitation. Philadelphia, PA: Saunders, 1984, p. 53-87, 205-222.
24. Senkal, M., M. Kemen, H.-H. Homann, U. Eickhoff, J. Baier, and V. Zumtobel. Modulation of postoperative immune response by enteral nutrition with a diet enriched with arginine, RNA, and omega-3 fatty acids in patients with upper gastrointestinal cancer. Eur. J. Surg. 161: 115-122, 1995 [Medline] .
25. Smith, J. A., A. B. Gray, D. B. Pyne, M. S. Baker, R. D. Telford, and M. J. Weidemann. Moderate exercise triggers both priming and activation of neutrophil subpopulations. Am. J. Physiol. 270 (Regulatory Integrative Comp. Physiol. 39): R838-R845, 1996 [Abstract/Free Full Text] .
26. Smith, J. A., R. D. Telford, M. S. Baker, A. J. Hapel, and M. J. Weidemann. Cytokine immunoreactivity in plasma does not change after moderate endurance exercise. J. Appl. Physiol. 73: 1396-1401, 1992 [Abstract/Free Full Text] .
27. Sprenger, H., C. Jacobs, M. Nain, A. M. Gressner, H. Prinz, W. Wesemann, and D. Gemsa. Enhanced release of cytokines, interleukin-2 receptors, and neopterin after long-distance running. Clin. Immunol. Immunopathol. 63: 188-195, 1992 [Medline] .
28. Ullum, H., P. M. Haahr, M. Diamant, J. Palmø, J. Halkjær-Kristensen, and B. K. Pedersen. Bicycle exercise enhances plasma IL-6 but does not change IL-lalpha , IL-lbeta , IL-6, or TNF-alpha pre-mRNA in BMNC. J. Appl. Physiol. 77: 93-97, 1994 [Abstract/Free Full Text] .
29. Weight, L. M., D. Alexander, and P. Jacobs. Strenuous exercise: analogous to the acute-phase response? Clin. Sci. Lond. 81: 677-683, 1991. [Medline]
30. Yao, J., J. E. Keri, R. E. Taffs, and C. A. Colton. Characterization of interleukin-1 production by microglia in culture. Brain Res. 591: 88-93, 1992 [Medline] .

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