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Introduction

Previous epidemiological studies have demonstrated that there is a dose-response association between alcohol use and the risk of several diseases and mortality. It has also been reported that light to moderate alcohol consumption has beneficial effects on many aspects of health, particularly on cardiovascular outcomes (1,2). On the contrary, heavy alcohol consumption is considered to be responsible for hundreds of thousands of deaths annually worldwide. It is also known to be the cause of a number of diseases and is a precursor to injury and violence, and often leads to alcohol use disorders (AUDs) (alcohol abuse and dependence) (3,4).

Oxidative stress results from an imbalance between oxidants and antioxidants in favor of the oxidants, leading to reversible redox modification of molecules involved in cellular signaling pathways, and damage to biological molecules (lipids, proteins and DNA) (5). Oxidative stress is responsible for the development of several pathological conditions, and it can be induced by numerous factors, including alcohol (6). Excessive, chronic alcohol consumption may lead to an impaired redox status, through both the increased production of reactive oxygen species (ROS) and impaired antioxidant defense mechanisms (7), and is associated with the pathogenesis of alcohol-related diseases, such as alcoholic liver disease, alcoholic cardiomyopathy and cancer (7,8). A number of studies have demonstrated that acute exercise can increase oxidative stress in humans (9–13). Exercise-induced oxidative stress activates signaling pathways that increase the expression of antioxidants and are also responsible for the process of exercise-induced adaptation (11,13). This adaptation is influenced by various factors, including training volume, intensity, frequency and the mode of exercise (13).

Although it is not yet well established, exercise is a promising non-pharmaceutical intervention which may be used to reduce alcohol intake or even to help heavy drinkers and individuals with AUDs to stop excessive alcohol intake (14–16). Over the past 40 years, a small number of studies have investigated the effects of exercise on alcohol intake in individuals with AUDs (15,16); however, only one recent study investigated the physiological responses to acute exercise in alcoholic patients. Jamurtas et al (17) examined the effects of low-intensity exercise on the urge to drink alcohol, the levels of β-endorphin (β-E) and lactic acid, as well as the hematological parameters [complete blood count (CBC)]. Their results revealed that the pre-exercise levels of β-E were significantly lower in alcoholic patients, whereas exercise led to significantly (p<0.001) increased β-Ε levels only in alcoholic patients. Lactic acid and hematological parameters assessed through CBC did not differ between the 2 groups; however, exercise led to significantly increased levels of lactic acid, red blood cells, hemoglobin and hematocrit in both groups. Moreover, there was a 17% decrease in the urge to consume alcohol in the alcoholic patients. The results from this study indicate that a bout of low-intensity exercise affects endogenous opioids in alcoholic patients. Greater increases in β-Ε levels as a response to exercise of a different type and/or higher intensity has been observed in other specific populations (18). Since chronic excessive exposure to alcohol leads to decreased β-Ε production, which may be responsible for negative reinforcement (19), a greater increase in β-Ε levels after exercise may lead to a significant reduction in the urge to consume alcohol. Therefore, exercise may be used as a healthy alternative to alcohol intake. The effects of acute and chronic exercise of different intensities and types on the urge to consume alcohol and on the health status in individuals with AUDs, as well as the physiological mechanisms involved should thus be investigated.

Since there is gap in the literature on the acute effects of exercise on the metabolism and redox status in individuals with AUDs, the aim of the present study was to investigate the effects of acute exercise of moderate intensity on the indices of liver function and redox status in heavy drinkers. This is a preliminary step in describing the responses to exercise of individuals who consume alcholol excessively, in order to develop exercise training programmes that aim to halt alcohol abuse and improve health.

Subjects and methods

Subjects

A total of 17 heavy drinkers [age, 31.6±3.2 years; body mass index (BMI), 27.4±0.8 kg/m2; experimental group (EG)] and 17 controls that did not exceed moderate alcohol consumption [age, 33.5±1.3 years; BMI, 26.1±1.4 kg/m2; control group (CG)] participated in this study. All subjects were sedentary, and the level of physical activity was assessed with the International Physical Activity Questionnaire. The subjects in the 2 groups were also matched in terms of the number of cigarettes smoked per day.

Individuals with alcohol consumption levels exceeding the limits set by the National Institute on Alcohol Abuse and Alcoholism (>14 drinks per week or >4 drinks per occasion for men, >7 drinks per week or >3 drinks per occasion for women) were identified as heavy drinkers. According to the National Institute on Alcohol Abuse and Alcoholism, exceeding these drinking limits significantly increases the risk of developing an AUD (4). Moreover, the Alcohol Use Disorders Identification Test (AUDIT) (20) was also used in order to identify individuals with AUDs. An AUDIT score between 8 and 15 indicates hazardous alcohol drinking, a score between 16 and 19 indicates harmful alcohol drinking, and a score of 20 or above indicates alcohol dependence (21). A total of 6 heavy drinkers had a score between 8 and 15, 5 heavy drinkers had a score between 16 and 19, and 6 heavy drinkers had a score of 20 or above (total AUDIT score, 17.65±1.25).

All subjects were informed about the study protocol, and the associated risks and benefits, and they signed an informed consent form prior to participation. Before proceeding with the other measurements, the medical history of the participants was reviewed and a resting electrocardiogram was performed in order to detect any heart abnormalities and contraindications to exercise. The procedures were in accordance with the 1975 Declaration of Helsinki, and ethics approval was obtained from the University of Thessaly Review Board (Larissa, Greece). Exclusion criteria included serious health issues, physical disabilities, or any other medical condition that contraindicated safe participation in exercise (e.g., a history of drug abuse other than alcohol or being over 60 years of age).

Experimental design

Subjects reported to our laboratory following an overnight fast, which included abstaining from both alcohol and smoking. The anthropometric and physiological characteristics of the study subjects were measured prior to exercise, and thereafter the subjects underwent one trial of acute exercise of moderate intensity (50–60% of the heart rate reserve) for 30 min on a cycle ergometer (Monark Ergomedic 874E; Monark Exercise AB, Vansbro, Sweden). The heart rate (HR) was monitored during exercise by short-range telemetry (Polar RC3 GPS HR; Polar Electro Oy, Kempele, Finland). Blood samples were collected prior to and immediately following exercise for later determination of the indices of liver function [γ-glutamyl transferase (γ-GT), aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels] and blood redox status [reduced glutathione (GSH), catalase activity, uric acid (UA), total antioxidant capacity (TAC), total bilirubin, thiobarbituric acid-reactive substances (TBARS) and protein carbonyl (PC) levels].

Blood sampling and handling

Blood samples (15 ml) were drawn from a vein in the forearm and, in order to obtain plasma, a portion of the blood was placed in separate tubes, mixed with EDTA (20 µl/ml of blood) and centrifuged at 1,370 × g for 10 min at 4°C. The supernatant was aliquoted and stored at −80°C for later determination of the TAC, TBARS and PC levels. For red blood cell lysate preparation, packed erythrocytes were diluted with distilled water (1:1 v/v), vortexed vigorously, and centrifuged at 4,000 × g for 15 min at 4°C. The supernatant was also aliquoted and stored at −80°C for later analysis of catalase activity and GSH levels. Finally, more blood was collected in separate tubes containing clot activator, left at room temperature for 20 min to clot, and centrifuged at 1,370 × g for 10 min at 4°C in order to obtain serum. The supernatant was aliquoted and stored at −80°C for later determination of the UA, total bilirubin, γ-GT, AST and ALT levels.

Methods

Each variable was analyzed in duplicate on the same day. Samples went through only one freeze-thaw cycle.

Assays in plasma

TAC determination was based on the scavenging of 1,1-diphenyl-2-picrylhydrazyl (DPPH), as previously described in the study by Janaszewska and Bartosz (22). Plasma (20 µl) was added to 480 µl of 10 mM sodium potassium phosphate (pH 7.4) and 500 µl of 0.1 mM DPPH free radical. The samples were incubated in the dark for 30 min at room temperature. Subsequently, the samples were centrifuged at 20,000 × g for 3 min at 25°C. The absorbance of the samples was read at 520 nm. TAC is presented as mM of DPPH reduced to 1,1-diphenyl-2-picrylhydrazine (DPPH:H) by the antioxidants of plasma.

The TBARS levels were measured as previously described in the study by Keles et al (23). For TBARS determination, 100 µl of plasma were added to 500 µl of 35% TCA and 500 µl of Tris-HCl (200 mM, pH 7.4). The samples were incubated for 10 min at room temperature. Subsequently, 1 ml of 2 M Na2SO4 and 55 mM thiobarbituric acid solution were added, and the samples were incubated for 45 min at 95°C. The samples were then cooled on ice for 5 min and 1 ml of 70% TCA was then added. The samples were vortexed and centrifuged at 15,000 × g for 3 min at 25°C. The absorbance of the supernatant was read at 530 nm. A baseline absorbance was taken into account by running a blank along with all samples during the measurement. The calculation of the TBARS concentration was based on the molar extinction coefficient of malondialdehyde, as previously described (23).

The PC levels were measured as previously described in the study by Patsoukis et al (24). For the determination of PC levels, 50 µl of 20% TCA were added to 50 µl of plasma. The samples were incubated in an ice bath for 15 min and centrifuged at 15,000 × g for 5 min at 4°C. Subsequently, the supernatant was discarded, and 500 µl of 10 mM 2,4-dinitrophenylhydrazine (in 2.5 N HCl) for the sample or 500 µl of 2.5 N HCl for the blank was added to the pellet. The samples were incubated in the dark at room temperature for 1 h, with intermittent vortexing every 15 min. The samples were then centrifuged at 15,000 × g for 5 min at 4°C. The supernatant was discarded, and 1 ml of 10% TCA was added, vortexed and centrifuged at 15,000 × g for 5 min at 4°C. The supernatant was discarded once again, and 1 ml of ethanol:ethyl acetate (1:1 v/v) was added, vortexed and centrifuged at 15,000 × g for 5 min at 4°C. This washing step was repeated twice. Finally, the supernatant was discarded, and 1 ml of 5 M urea (pH 2.3) was added, vortexed and incubated for 15 min at 37°C. The samples were centrifuged at 15,000 × g for 3 min at 4°C, and the absorbance was read at 375 nm. The calculation of the protein carbonyl concentration was based on the molar extinction coefficient of dinitrophenylhydrazine, as previoulsy described (24).

Assays in red blood cell lysate

Catalase activity was determined as previously described in the study by Aebi (25). For the determination of catalase activity, 4 µl of erythrocyte lysate (diluted 1:1) were added to 2991 µl of 67 mM sodium potassium phosphate (pH 7.4). The samples were incubated at 37°C for 10 min. Subsequently, 5 µl of 30% hydrogen peroxide were added to the samples, and the change in absorbance was immediately read at 240 nm for 2 min. The calculation of catalase activity was based on the molar extinction coefficient of H2O2, as previously described (25).

The GSH levels were determined as previously described by Reddy et al (26). A total of 20 µl of erythrocyte lysate treated with 5% TCA was mixed with 660 µl of 67 mM sodium potassium phosphate (pH 8.0) and 330 µl of 1 mM 5,5′-dithiobis-2 nitrobenzoate. The samples were then vortexed and incubated in the dark at room temperature for 45 min. The absorbance of the samples was read at 412 nm, as previously described (26). The GSH concentration was calculated by calibration curves constructed using commercial standards.

Hemoglobin in red blood cell lysate was determined using a commercially available kit (Dutch Diagnostics BV, Zutphen, The Netherlands), in order to estimate the final levels of GSH and catalase activity. For the determination of hemoglobin, 10 µl of erythrocyte lysate treated with 5% TCA were mixed with 2500 µl of working reagent (pH 7.3; diluted 1:10). The samples were immediately vortexed and left for at least 3 min at 25°C.

Assays in serum

The UA, total bilirubin, γ-GT, AST and ALT levels were measured on a Clinical Chemistry Analyzer Z 1145 (Zafiropoulos Diagnostica, Athens, Greece) using commercially available kits (Zafiropoulos Diagnostica). For the determination of UA levels, 6 µl of serum were added to 600 µl of working reagent. The samples were incubated for 1 min at 37°C and then their absorbance was read at 340 nm. For the determination of γ-GT levels, 70 µl of serum were added to 600 µl of working reagent. The samples were incubated for 1 min at 37°C and then their absorbance was read at 405 nm. For the determination of AST levels, 70 µl of serum were added to 600 µl of working reagent. The samples were incubated for 1 min at 37°C and their absorbance was then read at 340 nm. For the determination of ALT levels, 70 µl of serum were added to 600 µl of working reagent. The samples were incubated for 1 min at 37°C and their absorbance was then read at 340 nm.

The intra-assay coefficients of the variation for GSH, catalase, TAC, UA, total bilirubin, TBARS, PC, γ-GT, AST and ALT levels were 2.21, 3.38, 2.44, 2.75, 3.81, 2.10, 1.53, 1.15, 1.76 and 2.19, respectively.

Statistical analysis

Two-way (time × group) repeated measures ANOVA was conducted to examine the differences in the indices of liver function and blood redox status. If a significant interaction was noted, pairwise comparisons were performed through simple contrasts and simple main effects analysis using the Bonferroni correction. Moreover, an independent t-test was conducted to examine whether there were any differences between the baseline values of the anthropometric and physiological parameters. A p-value <0.05 was considered to indicate a statistically significant difference. The statistical programme used was SPSS version 18.0 (SPSS, Inc., Chicago, IL, USA). Data are presented as the means ± standard error of the mean.

Results

Anthropometric, physiological and other characteristics

The waist-to-hip ratio (WHR) and systolic blood pressure (SBP) values were significantly higher (p<0.05) in the EG compared to the CG (WHR, 0.90±0.03 vs. 0.82±0.02; SBP, 122.1±2,7 vs. 111.7±3.8) and the AUDIT score was also much higher (p<0.05) in the EG than the CG (17.7±1.3 vs. 2.6±0.4; Table I). The other anthropometric and physiological characteristics did not differ significantly between the 2 groups (Table I).

Table I. Anthropometric, physiological and other characteristics of the subjects (mean ± SE).

Table I.

Anthropometric, physiological and other characteristics of the subjects (mean ± SE).

Variables	EG	CG
Age, years	31.6±3.2	33.5±1.3
Height, cm	175.1±1.9	170.3±2.1
Weight, kg	84.3±3.4	76.4±4.9
BMI, kg/m2	27.4±0.8	26.1±1.4
WHR	0.90±0.03a	0.82±0.02
Systolic BP, mm Hg	122.1±2.7a	111.7±3.8
Diastolic BP, mm Hg	80.4±1.9	77.4±2.4
Rest HR	66.2±1.7	65.3±1.4
Exercise HR	128–139	126–138
IPAQ	1322.9±386.9	1340.7±139.0
AUDIT score	17.7±1.3a	2.6±0.4
Cigarettes/day	10.7±2.0	10.9±3.5

a Significantly different from the control group (CG) (p<0.05). EG, experimental group; BMI, body mass index; WHR, waist-to-hip ratio; BP, blood pressure; HR, heart rate; IPAQ, International Physical Activity Questionnaire; AUDIT, Alcohol Use Disorders Identification Test; SE, standard error.

Liver function variables

There was a significant main effect of time (pre- and post-exercise; p<0.05), a significant main effect of group (p<0.05) and a time × group interaction (p<0.05) for the γ-GT levels. The subjects in the EG had significantly higher (p<0.05) baseline γ-GT levels compared to subjects in the CG. Exercise thus resulted in significantly higher γ-GT levels (p<0.01) only in the EG (Fig. 1A).

Figure 1. (A) γ-glutamyl transferase (γ-GT), (B) aspartate aminotransferase (AST) and (C) alanine aminotransferase (ALT) levels before and immediately after acute exercise in heavy drinkers [experimental group (EG)] and the control group (CG). **Significantly different from the pre-exercise value in the same group (p<0.01); ***significantly different from the pre-exercise value in the same group (p<0.001); $significantly different from the pre-exercise value in the same group (p<0.05); #significantly different from CG at the same time point (p<0.05).

No significant main effect of group or time × group interaction was observed for the AST levels; however, there was a significant main effect of time (p<0.001). Pairwise comparisons indicated that the AST levels significantly increased (p<0.001) post-exercise in both groups (Fig. 1B).

No significant main effect of group was observed for the ALT levels; however, a significant main effect of time (p<0.05) and a time × group interaction (p<0.05) was observed. Pairwise comparisons indicated that the ALT levels increased significantly (p<0.01) post-exercise only in the EG (Fig. 1C).

Redox status variables

No significant main effect of time or time × group interaction was observed for the GSH levels; however, there was a significant main effect of group (p<0.05), with subjects in the EG exhibiting significantly lower GSH levels than the subjects in the CG before and after exercise (Fig. 2A).

Figure 2. (A) Glutathione (GSH) and (B) catalase levels before and immediately after acute exercise in heavy drinkers [experimental group (EG)] and the control group (CG). $Significantly different from the pre-exercise value in the same group (p<0.07); #significantly different from the CG at the same time point (p<0.05). Hb, hemoglobin.

There was no significant main effect of group or time × group interaction for catalase; however, there was a trend (p=0.07) for a main effect of time. Pairwise comparisons revealed increased post-exercise catalase levels in the EG (Fig. 2B).

There was no significant main effect of group or time × group interaction for the TAC levels; however, there was a significant main effect of time, with significantly increased (p<0.01) post-exercise TAC levels in the CG and, similarly, a trend for increased (p=0.06) post-exercise TAC levels in the EG (Fig. 3A).

Figure 3. (A) Total antioxidant capacity (TAC) and (B) uric acid (UA) levels before and immediately after acute exercise in heavy drinkers [experimental group (EG)] and the control group (CG). *Significantly different from the pre-exercise value in the same group (p<0.05); **significantly different from the pre-exercise value in the same group (p<0.01); #significantly different from the pre-exercise value in the same group (p=0.08); $significantly different from the pre-exercise value in the same group (p<0.06).

There was no significant main effect of group or time × group interaction for the UA levels; however, there was a significant main effect of time (p<0.05), with significantly increased (p<0.05) post-exercise UA levels in the CG and a trend for increased (p=0.08) post-exercise UA levels in the EG (Fig. 3B).

No significant main effect of time, group or time × group interaction was detected for the total bilirubin levels (data not shown).

No significant main effect of time or time × group interaction was observed for the TBARS levels; however, there was a main effect of group (p=0.06). Pairwise comparisons revealed that there were increased baseline (p=0.08) and post-exercise (p=0.06) TBARS levels in the subjects from the EG compared with the subjects from the CG (Fig. 4).

Figure 4. Total bilirubin, thiobarbituric acid-reactive substances (TBARS) levels before and immediately after acute exercise in heavy drinkers [experimental group (EG)] and the control group (CG). #Significantly different from CG (p=0.08) at baseline; significantly different from CG (p=0.06) after exercise.

There was no significant main effect of time, group or time × group interaction observed for the PC levels (data not shown).

Discussion

Liver function

To the best of our knowledge, this is the first study to investigate the effects of acute exercise on liver function and blood redox status in heavy drinkers. It has been well documented that chronic excessive exposure to alcohol can lead to liver inflammation, which may eventually impair liver function. A hypothesis of this study was that heavy drinkers would exhibit higher baseline levels of liver enzymes (mainly of γ-GT and ALT) and that exercise would lead to a further increase (mainly in AST).

γ-GT is a common index used in medicine for the detection of liver malfunction or issues with the bile ducts. Excessive alcohol consumption can also result in increased γ-GT levels. The results of the present study demonstrated that there were increased baseline levels of γ-GT in heavy drinkers compared to the controls. It is most likely that this finding is related to heavy drinking. Another factor that could, independently of alcohol intake, lead to increased γ-GT levels is cigarette smoking (27); however, heavy drinkers and controls had the same smoking habits and therefore most probably alcohol intake influenced the γ-GT levels.

AST and ALT are commonly used to detect inflammation and viral infections of the liver. AST is present in the liver and other tissues, including the skeletal muscles, and increased levels of AST indicate muscular inflammation. ALT is mainly found in the liver and in smaller amounts in other tissues, such as the kidneys and skeletal muscle, and thus increased levels of ALT are mainly attributable to liver inflammation (28). In this study, the baseline levels of AST and ALT were within the normal limits for men and women in both groups. It has previously been suggested that an increased BMI is an important contributing factor of increased liver enzyme levels in men (29); however, no significant difference in BMI between the heavy drinkers and controls was noted in the present study. On the other hand, a significantly increased WHR, which is indicative of increased visceral fat levels, was evident in heavy drinkers. We believe that differences in physiological (e.g., BMI and SBP) and biochemical parameters (e.g., γ-GT and ALT) that were found at the baseline are the result of heavy drinking.

Concerning liver enzyme responses to exercise, the γ-GT and ALT levels increased significantly only in the EG, whereas the AST levels increased in both groups after exercise. It is well known that exercise can result in transient increases in liver enzymes in healthy individuals, depending on the intensity, duration and type of exercise performed (30,31). Thus, we hypothesized that heavy drinkers may be more prone to increased liver inflammation following moderate-intensity exercise due to increased oxidative stress.

Finally, the total bilirubin levels did not differ between groups and did not change after exercise. An increase in bilirubin levels in individuals at rest can indicate a number of liver function problems, whereas in healthy individuals it can be detected following intense exercise, due to hemolysis. Therefore, it is assumed that moderate-intensity exercise does not cause hemolysis in heavy drinkers, despite decreased blood GSH levels that could render erythrocytes more susceptible to lipid peroxidation and consequently to hemolysis (32).

Taken together, the findings from the present study indicate that heavy drinking may have resulted in liver inflammation, which was enhanced by acute exercise. Although acute exercise can trigger increased liver inflammation in heavy drinkers, exercise training could lead to decreased levels of liver enzymes. Previous studies on clinical populations have demonstrated that exercise can ameliorate metabolic abnormalities. It has been found that aerobic exercise training may decrease liver enzyme levels in patients with liver diseases that are not caused by alcohol (33,34). Training studies to examine the chronic effects of exercise on liver enzymes in individuals with AUDs are thus warranted.

Redox status

Excessive alcohol consumption may cause oxidative stress by both increasing ROS production and decreasing antioxidant defense mechanisms (7,35), and oxidative stress is also thought to be involved in the pathogenesis of alcohol-related diseases (7,8). On the other hand, acute exercise results in increased production of ROS and also enhances antioxidant defense mechanisms (11,13). Based on these facts, we hypothesized that heavy drinkers were more susceptible to oxidative stress compared to individuals who do not exceed moderate alcohol consumption, and that exercise leads to changes in indices of blood redox status in both groups, with heavy drinkers experiencing greater increases in oxidative stress after exercise. The results of this study indicate differences in redox status between heavy drinkers and healthy control, with the former exhibiting lower GSH and higher TBARS, an index of lipid peroxidation.

GSH is a major cellular thiol antioxidant with many functions that protect cells against oxidative stress and its consequences. Excessive exposure to alcohol can lead to GSH depletion and decreased antioxidant activity (36–38). It has been noted that chronic depletion of cytosolic GSH can lead to decreased levels of mitochondrial GSH (39). Alcohol is thought to contribute to GSH depletion in the mitochondria of hepatocytes by producing oxidative agents and also by inhibiting the mitochondrial GSH transporter (transport of GSH from the cytosol into mitochondria) (6,40,41). Mitochondrial GSH may be of greater importance for hepatocyte survival than cytoplasmic GSH, as its depletion can result in increased production of H2O2 in mitochondria, thus causing oxidation of cytoplasmic proteins and affecting cell signaling (42). However, impaired redox status also influences changes in erythrocytes and can lead to decreased levels of blood GSH. It has previously been reported that individuals with alcohol-related liver diseases exhibit low levels of blood GSH (36–38). Although heavy drinkers who participated in this study did not exhibit greater than normal levels of γ-GT, blood GSH levels were significantly lower than those of controls. Findings from the present study indicate that heavy drinkers and individuals with AUDs without clinical signs of liver dysfunction may experience lower blood GSH levels than individuals who do not exceed moderate alcohol consumption.

An impaired redox status can lead to DNA damage, protein modification and lipid peroxidation. Blood redox status indices usually reflect the overall status of the body, and we would thus expect to observe differences between the two groups in the present study. Baseline and post-exercise levels of TBARS, which act as an index of lipid peroxidation, were higher in heavy drinkers than the controls in this study. This result has been reported previously in alcoholics and suggests that alcohol abuse results in enhanced lipid peroxidation, which in turn leads to increased fragility of the cell membranes (6,37,43).

In the present study, the exercise-induced antioxidant response was found to be higher in healthy controls than heavy drinkers, as indicated by post-exercise changes in TAC and UA. Heavy drinkers may not respond well to exercise-induced oxidative stress due to lower antioxidant defenses (35). However, it is not clear as to whether this antioxidant response in heavy drinkers increases some hours after exercise. Changes in these indices at more time points after exercise should therefore be examined.

Oxidative stress can alter membrane permeability and lead to hemolysis (44); however, we noted that exercise did not lead to hemolysis in heavy drinkers regardless of the increased oxidative stress. This could be explained by the intensity of the exercise used in the present study and also by the fact that antioxidant responses to exercise were increased in a similar fashion to those of the controls.

In conclusion, taken together, the findings of the present study suggest that excessive alcohol consumption causes low baseline GSH and increased γ-GT and TBARS levels. Acute aerobic exercise increases the responses of liver enzymes in heavy drinkers, whereas the elevated antioxidant responses following the aerobic bout of exercise in heavy drinkers are somewhat attenuated compared to healthy controls. More post-exercise time points would provide a better understanding of the way individuals with AUDs respond to exercise. Finally, since exercise training has been proposed as a useful and safe strategy in the treatment of AUDs, future research should focus on training exercise interventions which aim to reduce alcohol consumption and would prevent or ameliorate alcohol-related liver damage.

Acknowledgements

This study was co-financed by the European Union [European Social Fund (ESF)] and Greek national funds through the Operational Program ‘Education and Lifelong Learning’ of the National Strategic Reference Framework-Research Funding Program: THALES. Investing in knowledge society through the ESF.

References