Next Article in Journal
Sustainable Agriculture and Soil Conservation II
Previous Article in Journal
Real-Time Adjustment and Spatial Data Integration Algorithms Combining Total Station and GNSS Surveys with an Earth Gravity Model
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Levels of Markers of Muscle Damage, Inflammation, and Heat Shock Proteins in Judokas and the Extent of Their Changes during a Special Performance Test at Different Ambient Temperatures

1
Department of Physiology and Biochemistry, Faculty of Physical Education and Sport, University of Physical Education in Kraków, 31-571 Kraków, Poland
2
Institute of Sports Sciences, University of Physical Education in Kraków, 31-571 Kraków, Poland
3
Faculty in Biala Podlaska, Department of Physical Education and Health, Jozef Pilsudski University of Physical Education in Warsaw, 00-968 Biala Podlaska, Poland
4
Department of Sports Educology and Humanistics, Faculty of Sports, University of Presov, 080 01 Presov, Slovakia
5
Department of Sports Kinanthropology, Faculty of Sports, University of Presov, 080 01 Presov, Slovakia
6
Faculty of Physical Education and Sports, University of Physical Education in Wrocław, 51-612 Wrocław, Poland
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(16), 9381; https://doi.org/10.3390/app13169381
Submission received: 29 June 2023 / Revised: 14 August 2023 / Accepted: 16 August 2023 / Published: 18 August 2023
(This article belongs to the Section Applied Biosciences and Bioengineering)

Abstract

:
Background: Athletes in combat sports, such as judo, often experience muscle cell damage due to physical and metabolic stress. This study investigates the impact of anaerobic interval exercises involving both upper and lower limbs at different temperatures on physiological indicators. Methods: Fifteen judokas, with an average age of 20.7 ± 2.0 years, participated in the study. They had an average body height of 178 ± 6.3 cm, body mass of 76.3 ± 12.6 kg, VO2max of 43.2 ± 7.8 mL·kg−1, and peak power of 12.1 W·kg−1. The main experiment involved performing five sequences of pulsating exercise on a cycle ergometer for both upper and lower limbs. This was conducted in a thermoclimatic chamber set at temperatures of 21 ± 0.5 °C and 31 ± 0.5 °C with a relative humidity of 50 ± 5%. The sequences alternated pulsations of varying durations and loads between the upper and lower limbs, with a 15 min break following each sequence. Within each sequence, participants underwent four anaerobic limb tests. Biochemical markers, including interleukin-1β (IL-1β), interleukin-6 (IL-6), and heat shock protein 70 (HSP70), were measured using the enzyme-linked immunosorbent assay (ELISA) method before and after exercise, and again at 1, 24, and 48 h post-exercise. Muscle cell damage was evaluated based on lactate dehydrogenase (LDH) activity and myoglobin (Mb) concentration. Results: Both temperature conditions elicited physiological and biochemical responses. Positive correlations were observed between white blood cell count (WBC) and LDH concentration at 21 °C, as well as between WBC and IL-6 at 21 °C. At 31 °C, correlations were seen between WBC and myoglobin, and WBC and LDH. Conclusions: Muscle cell damage was evident under both conditions, as indicated by increased myoglobin levels. These findings offer insights into training strategies and underscore the physiological responses observed in combat sports athletes.

1. Introduction

The metabolic processes during judo training or tournaments predominantly depend on anaerobic mechanisms. These processes can lead to substantial muscle cell damage due to mechanical and metabolic stress, especially in high-temperature environments [1,2]. Such stress triggers an inflammatory state, marked by cytokine-induced structural and metabolic alterations in the affected areas [3,4]. At the site of injury, neutrophils and their associated pro-inflammatory cytokines, as well as reactive oxygen and nitrogen species, become evident [5]. Additionally, muscle proteins, such as myoglobin (Mb), are released into the bloodstream [5]. Together with neuroendocrine factors, muscle damage significantly influences the immune response to exercise [3,6].
Judo athletes in competitions face multiple rounds, each roughly spanning 5 min [7]. The structure of these competitions includes intermittent sequences of combat and rest periods, amounting to approximately 460 s (7 min 40 s) in total [7]. Competing in higher ambient temperatures strains the body’s systems more than performing at room temperature, potentially because of shifts in plasma volume indicating dehydration [8].
Muscle damage from exercise prompts a rise in pro-inflammatory interleukin production, especially interleukin-6 (IL-6) and interleukin-1β (IL-1β), in conjunction with cytokine-driven neutrophil and macrophage reactions [3,9]. These cytokines also stimulate the production of heat shock proteins (HSPs) that possess anti-inflammatory capabilities [10,11]. The expression of IL-6 correlates with the “energy deficit” encountered during physical exertion, prompting the release of energy compounds [12]. Moreover, skeletal muscle injuries enhance the secretion of pro-inflammatory cytokines such as IL-1β [13,14,15].
Cytokines also promote the synthesis of acute-phase proteins in the liver. IL-6 activates T lymphocytes, modulates B lymphocyte differentiation, and amplifies HSP production [16]. A rise in internal body temperature by 1 °C due to physical exercise instigates catecholamine and cytokine release, which in turn affects leukocyte circulation [17]. The liver’s increased amino acid uptake for HSP synthesis might lower blood glutamine levels, subsequently affecting immune functionality [18].
There is a paucity of comprehensive data about the inflammation triggered by high-intensity, acyclic workouts, particularly in hot environments [19]. Heat shock proteins (HSPs) serve as chaperones, shielding proteins from atypical alterations under stressful conditions [19]. The synthesis of HSPs can occur both under stress and in standard physiological states [20]. HSP70 also influences immune responses by affecting the major histocompatibility complex (MHC), with its expression induced by multiple factors [21]. Elevated ambient temperatures notably boost HSP70 levels [20,22].
Physical activity-related cell injuries instigate an inflammatory response, marked by an uptick in acute-phase proteins, predominantly propelled by IL-6 [20]. Exercise intensity, duration, engaged muscle groups, and activated fiber types all affect HSP70 and HSP72 concentrations [19]. HSP70 helps mitigate micro-damage resulting from anaerobic exercises, and individual variability can influence its expression [23]. Acclimating to heat can modify the immune system, leading to increased concentrations of anti-inflammatory interleukin (IL-10) and HSP72 [24]. HSP levels might serve as indicators for heat stress vulnerability [19].
This research addresses an existing knowledge gap regarding high-intensity, acyclic exercises in hotter climates, focusing on their impact on physiological and biochemical markers [19]. The insights gathered could inform optimized training regimens for athletes [25]. The study’s primary objective is to ascertain if interval anaerobic workouts targeting both upper and lower limbs, executed in varied ambient temperatures, have a consistent effect on muscle damage indicators and blood-borne biochemical markers.

2. Materials and Methods

A group of 15 elite male professional judo athletes, representing the country’s best, were chosen for the study from a pool of 20 candidates. These athletes all had up-to-date medical examinations. The selection criteria emphasized chronological age, training experience, and competitive level—every athlete had previously ranked within the top 5 in national competitions (Table 1). Given the elite caliber of the participants, the sample size was determined using G*Power. Out of the initial group, 10 athletes completed the full testing cycle. The study received approval from the Bioethics Committee of the Krakow Regional Medical Chamber (No. 102/KBL/OIL/2011) and was funded through statutory research funds (7/BS/IFC/2011). All male participants were briefed about the study’s objectives, methodology, potential side effects, and their right to opt out at any point, in line with the Helsinki Declaration. They provided written consent to partake. The entire study was executed under medical oversight.
Endurance tests for the judokas took place during the competition period, housed within a thermoclimatic chamber and an air-conditioned laboratory at the Department of Physiology and Biochemistry, Academy of Physical Education in Krakow. To account for circadian rhythms, all tests were scheduled in the morning, ensuring they began at least 2 h post a light meal. The testing for judo athletes was bifurcated into preliminary (Stages I, II, and III) and main phases (Stages IV and V).

2.1. Participant Characteristics

Of the athletes who entered the study, ten completed the entire research program. Their average age was 20.7 ± 2.0 years. These men had a mean body height (BH) of 178 ± 6.3 cm, body mass (BM) of 76.3 ± 12.6 kg, lean body mass (LBM) of 64 ± 10.4 kg, and a body surface area to body mass ratio (BSA·BM−1) of 0.0249 ± 0.0016 cm2·kg−1. In terms of aerobic capacity, their VO2max was 43.23 ± 7.8 mL·kg−1 for the lower limb test, and 3.3 ± 0.63 L·min−1 in absolute values. Their anaerobic capacity (RPP) averaged at 12.12 W·kg−1.

2.2. Preliminary Research

STAGE I
In the first stage of the study, basic biometric measurements were taken, including height (BH) and body mass (BM). These measurements were utilized to calculate the Quetelet II index (BMI) as per Dubois. The lean body mass (LBM) was estimated, along with the body surface area (BSA) and the ratio of body surface area to body mass (BSA·BM−1). Additionally, for diagnostic objectives, athletes’ blood pressure (BP) and heart rate (HR) were measured.
STAGE II
Male participants undertook exercise tests to gauge both anaerobic and aerobic endurance of the lower limbs (LL).
Stage III
(seven days later): The same tests were administered, but this time focused on the upper limbs (UL).
For both stages, biometric measurements preceded the exercise tests. The Wingate test [26] was employed to measure anaerobic endurance, both for the LL and UL. Before the main test, a 5 min warm-up on a cycle ergometer was conducted with an intensity tailored to 50% of the participant’s VO2max, set at a frequency of 60 rpm. This warm-up included three 5 s maximum accelerations at the 2, 4, and 5 min marks. Two minutes post-warm-up, the participants executed a 30 s maximum physical exertion. For the LL, an external resistance equal to 8.3% of the subject’s body weight was applied, and for UL, the resistance was set at 4.5% of their body mass [27]. Key Wingate test parameters were observed and analyzed. Using the derived data, anaerobic endurance, encompassing both phosphagen and glycolytic elements, was evaluated. Blood samples were taken from the earlobe before and three minutes post-anaerobic effort to enzymatically determine the lactate concentration.
A minimum of two hours after the Wingate Test, participants underwent an aerobic capacity evaluation. This involved an incremental test “to subjective exhaustion”, a standard procedure at the Department of Physiology and Biochemistry at the Academy of Physical Education in Krakow. The conditions for the test were a room temperature maintained at 21 ± 0.5 °C with a relative humidity of 40 ± 3%. Each test began with a two-minute warm-up on a cycle ergometer, maintaining 60 RPM. The initial intensity was set at 110 W for LL and 60 W for UL. After the warm-up, for the LL, power output increased by 20 W and for the UL, it increased by 12 W every two minutes. The participants persisted in the exercise until they subjectively felt they could not maintain the designated pedaling pace. Blood samples were collected from the earlobe both before and after this test to determine lactate concentration (LA).

2.3. Main Study

Stage IV and V
Stage IV: Half of the judo participants executed 5 restrictive pulsatile efforts on the leg and arm cycle ergometer inside a thermoclimatic chamber, set at a temperature of 21 ± 0.5 °C.
Stage V: The other half performed the same exercises, but at a higher temperature of 31 ± 0.5 °C.
For both stages, the relative humidity was maintained at 50% ± 5%.
After a recovery period of seven days, essential for offsetting the effects of physical exertion, the participants switched conditions and revisited Stages IV and V. Specifically, those who initially worked out at 21 ± 0.5 °C now exercised at 31 ± 0.5 °C and vice versa.
These exercises were not your standard interval pulsatile efforts. They were uniquely timed and alternated between loading the upper and lower limbs during anaerobic bursts of physical activity. These anaerobic sessions were punctuated with 15 min rest breaks (as depicted in Figure 1).
A single series of pulsatile exercise was conducted based on the scheme outlined below and was repeated five times (as detailed in Table 2). The complete duration of the experiment, which included the five series of pulsatile exercise sequences along with four 15 min breaks interspersed between them, totaled 96 min and 20 s. In competitive settings, the best judo athletes participate in 4 to 6 matches. Each match lasts 7 min and 40 s. In our study, considering the duration of an individual match and the typical tournament format, we designed a sequence of efforts that most closely mirrored the competitive structure in judo.
Before the pulsatile exercise at both temperatures, participants underwent a 30 min acclimatization to the thermal conditions. This was followed by a 5 min warm-up at an individually tailored load of 50 ± 1% VO2max. The warm-up maintained a frequency of 60 rev·min−1 and incorporated three 5 s maximal accelerations at the 2nd, 4th, and 5th minutes. During each sequence of the pulsatile test—modified from the Wingate test for both lower (LL) and upper (UL) limbs—fundamental Wingate test metrics were recorded. The load remained consistent for each sequence: 8.3% of body mass for LL and 4.5% for UL. Moreover, before and after the five series of the pulsatile test, biochemical markers were identified from blood samples taken at intervals of 1, 24, and 48 h. These markers included interleukin-1β (IL-1β), interleukin-6 (IL-6), and heat shock proteins (HSP-70). To gauge muscle cell damage, metrics like lactate dehydrogenase (LDH) activity, myoglobin (Mb) concentration, leukocyte (WBC) count, hemoglobin (HGB) concentration, hematocrit (HCT) count, and changes in plasma volume (%ΔPV) were considered. The pulse test interval was structured to mimic the pattern of judo tournament matches, a design derived from an analysis of actual matches. This approach was inspired by related studies in the literature [28,29].
The aim of the chosen exercise protocol encompassed the following:
Sporting Bout Simulation: Testing in a thermoclimatic chamber ensures consistent control over temperature and humidity—critical variables during strenuous activity. The contrast in temperatures between the two stages (21 °C and 31 °C) facilitates an understanding of physiological responses to fluctuating thermal conditions one might face in a tournament [30].
Pulsed Interval Training: This exercise protocol, characterized by intermittent increase and decrease in load, mirrors the physical exertion witnessed in a judoka’s tournament or training [31].
Diverse Limb Loading: The protocol factors in the varied loading of both upper and lower limbs are significant given the movement dynamics intrinsic to judokas. Training both areas simultaneously can bolster strength, endurance, and coordination [32].
Rest Breaks: The 15 min gaps offer athletes recovery time before the next sequence. This equilibrium between exertion and rest is crucial for efficient training and injury prevention. The workout intervals were tailored to reflect a judo match’s timing [33].
The entire exercise protocol was structured to fine-tune the judokas’ training to their sport’s nuances, factoring in physical strain, varying thermal conditions, and inter-session recovery. Evaluating such a protocol can shed light on how these elements impact a judoka’s conditioning and preparation. Furthermore, this can inform the development of advanced, effective training methodologies in subsequent years.

2.4. Environmental Monitoring

  • Temperature and Humidity: Monitored using a Harvia thermohygrometer (Muurame, Finland) and an Ellab electrothermometer (Hillerød, Denmark). The accuracies of these devices are ±0.5 °C and ±3%, respectively.
  • Air Movement: Measured with a Hilla catheter thermometer, utilizing the simplified Weiss formula for minor air movements below 1 m·s−1.

2.5. Anthropometric Measurements

  • Height (BH): Measured with a Martin anthropometer (Charlotte, NC, USA) with an accuracy of 0.5 cm.
  • Body Mass (BM): The Sartorius F 1505-DZA electronic scale (Göttingen, Germany) was used, accurate to 1 g.
The collected BH and BM data facilitated the calculation of the Quetelet II index (BMI). Established norms for the group were 18.5–24.99, with values below 18.5 categorized as underweight and above 25 as overweight. Body fat percentage (PBF), body fat mass (MBF), and lean body mass (LBM) were analyzed via an eight-electrode bioelectrical impedance body composition analyzer (JAWON MEDICAL IOI-353, Seoul, Korea).

2.6. Blood Sampling and Analysis

All blood collection adhered to standard practices by a certified laboratory diagnostician.
  • Lactate Measurements: Blood was drawn from the earlobe into a 10 µL heparinized capillary. Lactate concentrations were determined enzymatically using a Mini-photometer plus DR Lange, type LP-20 (Dr Lange, Germany).
  • Hematological Measurements: 5 mL of venous blood was collected from the elbow crease into an EDTA tube. Leukocytes (WBC), hematocrit (HCT), and hemoglobin concentration (HBH) were determined using a Vet-Analyzer Hematology HA-22/20/ (CLINDIAG SYSTEMS, Ninove, Belgium).
  • Biochemical Measurements: Blood samples were taken before the pulsatile tests, one hour post-test, and at 24 and 48-h intervals. Blood was divided into tubes with a coagulation activator and EDTA, then centrifuged at 2000 rpm for 15 min in an MPW 351R Med. Instruments Polska centrifuge. Post-centrifugation, serum and plasma were isolated and frozen at −70 °C (Artico ULF 390 ChRL freezer, Esbjerg, Denmark) for later analysis.

2.7. ELISA-Based Blood Marker Measurements

  • ELISA (Enzyme-Linked Immunosorbent Assay) is an acclaimed method for pinpointing specific proteins in biological specimens, leveraging monoclonal or polyclonal antibodies conjugated with a designated enzyme.

2.8. Muscle Damage Markers

  • Myoglobin: DRG Instruments GmbH, Marburg, Germany; sensitivity: 5 ng/mL
  • Lactate dehydrogenase (LDH): Wuhan Eiulb Science Co., Ltd., Wuhan, China; sensitivity: 2.8 U/mL

2.9. Selected Cytokines

  • Interleukin-6: DRG Instruments GmbH, Marburg, Germany; sensitivity: 2 pg/mL
  • Interleukin-1β: DRG Instruments GmbH, Marburg, Germany; sensitivity: 0.35 pg/mL

2.10. Others

  • Heat shock protein 70 (HSP-70): Wuhan Eiulb Science Co., Ltd., Wuhan, China; sensitivity: 0.039 ng/mL.
  • Plasma Volume Calculation.
  • Changes in plasma volume (%ΔPV) were ascertained using a formula adapted from Dill and Costill, further revised by Harrison et al. Post-exercise biochemical marker concentrations were adjusted for plasma volume changes employing the Kraemer and Brown method.
  • Hematocrit (HCT%) Measurement: Deployed the micro-method with a Unipan MPW-212 centrifuge.
  • Hemoglobin Concentration Determination: Utilized the Drabkin technique involving a spectrophotometer.
  • Physiological Measurements.
  • Heart Rate (HR): Monitored using a Polar 610S cardiomonitor.
  • Dehydration Degree: Evaluated from body mass measurements and urine volume.
  • Respiratory Exchange During Exercise: Assessed using Ergospirotest apparatus.
  • Graded Exercise Test: Executed on specific ergometers, varying for lower and upper limbs.
  • Pulsatile Anaerobic Tests: Conducted in a thermoclimatic chamber at specific temperatures.

2.11. Statistical Methods

Data analysis was executed using Statistica 9.0 for Windows. The study incorporated various statistical tests and computations such as multivariate analysis of variance, the Shapiro–Wilk test, the post-hoc Tukey test, and the Pearson correlation coefficient. Sample size determination was done via G*Power 3.1.9.4 software.

3. Results

The study involved judokas aged 20.65 ± 2.03 years who had been involved in sports for 10.36 ± 1.5 years. Prior to the main part of the study, the athletes performed a Wingate test to determine their anaerobic capacity level. Considering the specific physical demands of judo training and competition, a lower limb anaerobic test (LL) was performed in stage II of the research protocol, followed by an upper limb test (UL) in stage III. Aerobic endurance was assessed in the same stages using a graded exercise test (DE) and maximal oxygen uptake (VO2max).
Preliminary study results showed that in the lower limb Wingate test, relative peak power (RPP) was 12.12 ± 0.87 W·kg−1, while in the upper limb test, it was 7 ± 0.56 W·kg−1, which was 42.2% lower. Total work (TW) in the lower limb test was 21.85 ± 4.26 kJ, while in the upper limb test, it was 13.36 ± 2.5 kJ. The difference was 38.6% (Table 3).
In both versions of the test, the resting and post-exercise values of lactate concentration were recorded. From the numerical data presented in Table 4, it can be concluded that the anaerobic physical effort performed with both the upper and lower limbs led to statistically significant changes (p < 0.05) in blood lactate concentration.
The aerobic endurance of the male participants was determined by the duration of the graded exercise test (DE). The numerical data in Table 3 indicate that in the lower limb version of the test, the duration of physical work was on average 2.68 min, or 15%, longer than in the upper limb version. The mean maximal oxygen uptake (VO2max), considered the main indicator of aerobic capacity, reached 43.23 ± 7.79 mL·kg−1·min−1 in the lower limb test, and 37.19 ± 5.26 mL·kg−1·min−1 in the upper limb test. The difference was 13.97%. The mean maximal heart rate (HRmax) recorded in the graded exercise test with lower limbs was 185 ± 8.19 bpm, while in the upper limb test it was 183 ± 8.43 bpm (Table 5).
In both versions of the test, aerobic physical exercise performed with both the upper and lower limbs led to statistically significant changes in blood lactate concentration (p < 0.05). In the test performed with the lower limbs, the increase in blood lactate concentration (ΔLa) was on average 10.98 mmol·L−1, while in the test performed with the upper limbs it was 8.34 mmol·L−1 (Table 6).

3.1. Results of Main Measurements—(Stage IV and V)

Selected physiological indicators recorded before and after pulsating physical exercise at ambient temperatures of 21 and 31 °C (Table 7).
As a result of dehydration following a series of LL and UL exercises at temperatures of 21 °C and 31 °C, a statistically significant reduction in body mass was observed (p < 0.05). After exercise at 21 °C, body mass decreased by 0.980 kg, and at 31 °C, by 1.560 kg. There was no statistically significant difference between the BM values recorded before and after the exercise series at 21 °C and 31 °C.

3.2. Changes in Hematological Indicators of Blood after Pulsatile Exercise at Different Ambient Temperatures

Following the anaerobic pulsatile physical exercise series at ambient temperatures of 21 °C and 31 °C, leukocytosis was observed. Statistically significant differences (p < 0.05) in the number of white blood cells (WBC) were observed in blood samples taken at rest and at 1 h after the end of exercise. Statistically significant differences were also found between the number of WBC at 1 h after exercise and the number of WBC at 24 and 48 h after exercise. The highest post-exercise values were recorded in the first hour after the end of pulsatile exercise at 31 °C. These values were higher by 0.73 103/mm3 than at 21 °C. Pearson’s linear correlation results showed a positive relationship between the increase in WBC and Mb concentration in the first hour after physical exercise at 21 °C (r = 0.65; p < 0.05). Positive correlation was also observed between WBC and LDH concentration at 21 °C in the first (r = 0.73, p < 0.05), twenty-fourth (r = 0.64, p < 0.05), and forty-eighth hour after exercise (r = 0.75, p < 0.05). A correlation was also found between WBC and IL-6 concentration at 21 °C (r = 0.77, p < 0.05) in the first hour, and between WBC and HSP concentration at 24 h after physical exercise (r = 0.80, p < 0.05). After exercise at 31 °C, such a relationship was found between WBC and Mb concentration (r = 0.67, p < 0.05) as well as between WBC and LDH activity (r = 0.66, p < 0.05) in the first hour after physical exercise.
The reduction in body mass caused by dehydration during physical exercise in both temperatures led to a decrease in plasma volume (∆PV%). These changes were not statistically significant, both in the measurements between temperatures of 21 °C and 31 °C and in the measurements separately at temperatures of 21 °C and 31 °C. It is worth noting that athletes performing physical work at 31 °C, where the combined exogenous and endogenous thermal stimuli were more pronounced, depleted the body’s water reserves to a greater extent. In the first hour after the end of physical exercise at 21 °C, the decrease in plasma volume after a series of pulsatile exercises was −4.83%, and at 31 °C, it was at the level of −6.75% (Δ 1.92%).

3.3. Changes in Selected Markers of Muscle Damage (LDH, Mb), Cytokines (IL-1β, IL-6), and Heat Shock Proteins (HSP70) after Pulsatile Exercise at 21 °C and 31 °C

Myoglobin is a known biomarker that gives information about muscle tissue damage. In the athletes, its resting concentration at an ambient temperature of 21 °C was 32.86 ng·mL−1, and at 31 °C it was 31.39 ng·mL−1. After the first hour of exercise at 21 °C, Mb concentration was 40.9 ng·mL−1, and at 31 °C it was 54.51 ng·mL−1. These changes were statistically significant (p < 0.05).
There were statistically significant differences in Mb concentration between the concentration in the first hour after exercise and its concentration at 24 and 48 h after exercise at both temperatures (p < 0.05). No significant differences in myoglobin concentration were found between 21 °C and 31 °C separately in individual measurements. Statistical analysis showed a positive correlation between Mb values and E (r = 0.78, p < 0.05) and IL-6 (r = 0.80, p < 0.05) in the first hour after exercise at 21 °C. A negative correlation was observed at 24 h after exercise at 21 °C between Mb and hGH (r = −0.67, p < 0.05) and β-endorphin (r = −0.74, p < 0.05). A positive correlation between Mb and LDH was observed in the first hour after exercise at 31 °C (r = 0.64, p < 0.05).
The activity of lactate dehydrogenase (LDH), an enzyme present in skeletal muscle cells that leaks into the bloodstream following mechanical muscle damage, increased by 24.32 U/mL in the first hour after a series of pulsatile exercises at 21 °C, and by 42.75 U/mL at 31 °C. These changes in enzyme activity were not statistically significant, either between measurements at 21 °C and 31 °C or between the two temperature conditions separately. As with changes in myoglobin concentration, it can be concluded that work performed at 31 °C resulted in a greater increase in LDH activity in the first hour after physical activity than at 21 °C. This difference was 67.18 U/mL.
A negative correlation was observed in exercise performed at 31 °C at 1 h after exercise between LDH activity and Mb concentration (r = −0.64, p < 0.05).
Mechanical, thermal, and metabolic stimuli initiate an inflammatory process as a result of muscle tissue damage. Activated macrophages and monocytes release cytokines, including interleukins serving as pro-inflammatory factors. In the conducted experiment, no significant changes were observed in IL-1β pg/mL and IL-6 pg/mL concentrations between measurements performed separately at ambient temperatures of 21 °C and 31 °C, as well as between ambient temperatures of 21 °C and 31 °C for measurements taken at rest, 1, 24, and 48 h after exercise. It is noteworthy that the baseline values of IL-1β pg/mL and IL-6 pg/mL were higher in athletes who performed interval exercise sequences in an ambient temperature of 31 °C. A negative correlation was found between IL-6 concentration and LDH activity (r = −0.74, p < 0.05) at 24 h after exercise at an ambient temperature of 21 °C.
Physical exertion leading to muscle tissue damage and the development of an inflammatory state, which is mainly stimulated by IL-6, also affects the expression of heat shock proteins (HSPs) that participate in the defense of muscle cells against thermal, exercise, or metabolic stress. These changes, like in the case of IL-6 and IL-1β, were not statistically significant between measurements at rest, 1, 24, and 48 h after exercise at both 21 °C and 31 °C temperatures, as well as between 21 °C and 31 °C temperatures separately in measurements. A positive correlation was found between HSP70 concentrations at 24 h and IL-1β at 48 h after physical exertion at 21 °C (r = 0.71, p < 0.05).

4. Discussion

Effective training for combat sports athletes, including judo athletes, should focus on enhancing speed–strength, endurance, technical–tactical skills, and volitional qualities [34,35]. Sports performance is also shaped by specialized training programs rooted in physiological and biochemical research [36,37,38]. These insights help gauge current levels of endurance and speed–strength, identify intensity zones, and track physiological and biochemical shifts from specialized training. It is vital to adapt exercise intensity and recovery to each athlete’s potential. Optimal sports performance arises from harmonizing these elements to reach peak fitness values. However, striving for peak performance can lead to adverse physiological changes, overloading the body and risking over-training [31]. Due to the demanding nature of judo, thorough psychophysical preparation is necessary, warranting research on functional and somatic variables influencing matches. Judo athletes require high speed–strength and strong respiratory/circulatory fitness [37]. While aerobic capacity (VO2max) predicts effective fighting, anaerobic endurance plays a crucial role in judo. Notably, Polish judokas’ anaerobic endurance indicators serve as a model. Training should enhance tissue oxygenation mechanisms, aiding regeneration and thermoregulation, vital for effective fighting [39,40].
This study’s practical significance lies in aiding training staff and combat sports athletes in program construction. The anaerobic capacity among the studied judokas was notable, surpassing Polish representatives [41] and aligning with international standards [42]. Their aerobic endurance (VO2max) was 43.23 ± 7.79 mL·kg−1, lower than elite athletes [43,44]. Judo competitions may occur in thermoneutral or elevated temperatures. Understanding physiological responses helps design optimal training programs, hydration strategies, and aids recovery [45].
In the context of studying the impact of physical exertion on the immune system, varying perspectives exist. General consensus suggests that intense exercise leads to transient immune system changes, while moderate exercise enhances immune function [46]. Athletes might experience greater immunosuppression than those with moderate physical activity. The interaction between exercise and the immune system could be linked to metabolic, hormonal, or physiological shifts. Athletes engaged in exercise under higher temperatures experience more pronounced immune and endocrine responses compared to room temperature [47]. The extent of this response depends on factors like exercise intensity, duration, and environmental conditions. For instance, post-marathon studies showed increased white blood cell (WBC) counts [48], and ultramarathon runners displayed elevated neutrophil counts and pro-inflammatory cytokine concentrations [49].
In this research, significant increases in WBC counts were observed an hour after exercise. Following pulsating exercises at 21 °C, WBCs rose by 155%, and at 31 °C, by 191.8%. Correlations were found between WBC increase and myoglobin (Mb), lactate dehydrogenase (LDH), and interleukin-6 (IL-6) concentrations [50]. Similar patterns were noted by Paulsen et al. [51]. Muscle damage resulting from intense exercise, particularly with eccentric contractions or altered training, is common among athletes [52]. These damages affect the cell membrane, causing increased enzyme levels in the blood [52]. Exercise-induced micro-injuries manifest as muscle pain, reduced strength, and the increased release of muscle proteins (Mb) and enzymes (CK, LDH) into the bloodstream. LDH and Mb are reliable markers of muscle damage and stress from exercise [53]. Studies indicate that changes in these markers might peak within 24 h [54,55]. The type, intensity, and duration of exercise affect the marker levels [56]. In this study, myoglobin concentration significantly increased post-exercise at both temperatures. Changes in Mb correlated with IL-6 levels [50]. Lactate dehydrogenase (LDH) activity increased by 28.2% at 21 °C and 31.66% at 31 °C post-exercise [50]. Monitoring muscle damage markers helps athletes and coaches tailor training loads, safeguarding against unfavorable muscle changes [52].
When exercise is performed in higher temperatures, the inflammatory process might be connected to blood redistribution [57]. Cytokines like IL-6 and IL-1β are released by immune cells, affecting thermoregulatory centers and potentially leading to hyperthermia [58,59].
Scientific findings [60] reveal that cytokine release, including IL-6 and IL-1β, is influenced by exercise type (duration, intensity, muscle engagement). For exercise exceeding 2 h, IL-6 increased 120-fold and IL-1β by 3-fold. Shorter exercises saw a 6-fold IL-6 increase, while IL-1β remained relatively stable. Eccentric and concentric exercises induced IL-6 mRNA production, suggesting its production is not solely due to muscle damage, possibly linking it to muscle glycogen levels or glucose production. Some theories connect IL-6 to muscle pain post-exercise [61].
IL-6 plays a central role in the body’s response to exercise, affecting fatigue perception and concentration. It is released during exercise and can rise significantly during infections [62]. The IL-6 increase might be linked to muscle cell damage, but it is not closely correlated with effector structure damage biomarkers (LDH, CK, Mb). IL-6 also influences muscle mass growth through satellite cell division [63]. IL-6 concentrations change based on exercise type, duration, muscle volume, and thermal stimuli [62]. Exercise-induced temperature elevation can influence IL-6 changes [62]. Antioxidants like vitamins C and E might limit the action of RFT in reducing muscle damage [64].
Training specialization can lead to decreased IL-6 levels due to receptor expression and heightened cell sensitivity [65]. Lower physical activity increases IL-6, while training reduces resting IL-6 levels [62]. In the study, IL-6 concentration increased after exercise in both ambient temperatures. At 21 °C, it increased by 113.5% in the first hour and 61.22% after 24 h, while at 31 °C, it rose by 97.9% and 5.36%, respectively [53].
IL-1β, produced by macrophages and monocytes, triggers an inflammatory response and affects muscle damage. Early studies mistakenly identified IL-1β as the main pro-inflammatory factor; however, it is IL-6 that holds that role [62]. IL-1β’s concentration can remain elevated for days post-exercise. It plays a role in skeletal muscle reconstruction and oxidative stress response [66]. This study did not find significant changes in IL-1β concentration due to anaerobic pulsatile exercises [53].
Heat shock proteins (HSPs) have anti-inflammatory effects and protect muscles from damage. They are affected by exercise, thermal stimuli, and stressors [20]. HSP70 concentration decreased by 40% an hour after exercise at 21 °C, and increased by 53.3% after 24 h. At 31 °C, it increased by 7.29% in the first hour and 51.04% in 24 h after exercise [53]. HSPs are influenced by training and temperature variations [25]. Athletes have higher HSP70 levels [25].
Differences in anaerobic power between upper and lower limbs can influence judo training. Higher ambient temperatures affect physiological and biochemical responses, impacting performance [53]. Evaluating muscle damage markers in judokas helps assess damage levels, regeneration effectiveness, and training adjustments. It also aids in understanding muscle damage and recovery processes [53]. Comparing results between novice and experienced judokas could provide insights into the impact of effort intensity on muscle damage [53].

Limitation of the Study

The main limitation was the inability to extend the study with additional measurements after 48 h due to the fact that the study was conducted on a group of elite athletes from the international level during the competition season, which prevented them from staying too long in the research center due to their busy schedule. Inflammatory and interstitial damage markers were measured within 48 h after the test.

5. Conclusions

The aim of the conducted observations was to examine the physiological and biochemical reactions of judo athletes to pulsating anaerobic physical exertion in various ambient temperatures. Based on my previous research, it is known that exogenous thermal factors affect muscle energy efficiency, the course of fatigue processes, and the size of micro- and macro-damage to muscle cells. So far, we have not come across scientific information on the degree of differentiation of the physiological response of judo athletes to interval anaerobic exercises in a warm environment. Obtaining this knowledge should enable training staff to optimize training programs and technologies while maintaining ongoing control of the adaptive changes of the body.
During physical exertion, there was an intensification of the immune system response, as evidenced by a significant post-exertion increase in the number of white blood cells. After physical exertion at 31 °C, the increase in white blood cells was 155% and was 36% higher than after exertion at room temperature. The number of leukocytes (WBC) one hour after exertion positively correlated with serum myoglobin concentration and dehydrogenase activity. Exercise-induced muscle damage initiated an inflammatory state, resulting in the release of pro-inflammatory interleukins into the blood.
Based on the obtained research results, it can be concluded that physical exertion in different thermal environmental conditions activates the immune system response to a varying degree, with the direction of changes dependent on the external thermal factor. In order to increase the body’s tolerance to thermal and exertion stress, it is advisable for professional judo athletes to conduct training in different ambient thermal conditions.
Based on the obtained research results, the following conclusions have been drawn:
  • Physical efforts in the applied environmental temperatures caused an increased reactivity of the immune system, manifested by a significant increase in the number of leukocytes.
  • Pulsating efforts in two different environmental temperatures contributed to the formation of muscle cell damage, as evidenced by a significant increase in myoglobin concentration. This conclusion has practical significance, as it creates the possibility of programming and optimizing anaerobic training loads.
  • Pro-inflammatory interleukins and lactate dehydrogenase are less sensitive indicators of muscle damage in intense physical efforts.

Author Contributions

Conceptualization, T.P., P.M.K. and K.W.; methodology, T.P., Ł.R., E.S.-K. and B.V.; software, T.P.; validation, T.P.; formal analysis, T.P., S.W. and P.K.; investigation, T.P.; resources, T.P. and S.W.; data curation, T.P.; writing—original draft preparation, T.P., P.M.K., E.S.-K., M.M., T.A. and Ł.R.; writing—review and editing, T.P., P.M.K., Ł.T., Ł.R., E.S.-K., P.K., T.A. and Ł.R.; visualization, T.P. and B.V.; supervision, T.P., M.M., T.A. and Ł.T.; project administration, T.P., Ł.T. and K.W.; funding acquisition, T.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The experiment was approved by the Bioethics Committee at the Regional Medical Chamber in Kraków (No. 102/KBL/OIL/2011, 14 December 2011).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. DuBose, D.A.; Balcius, J.; Morehouse, D. Heat Stress and/or Endotoxin Effects on Cytokine Expression by Human Whole Bloo. Shock 2002, 17, 217–221. [Google Scholar] [CrossRef]
  2. Mitchell, J.B.; Dugas, J.P.; McFarlin, B.K.; Nelson, M.J. Effect of exercise, heat stress, and hydration on immune cell number and function. Med. Sci. Sports Exerc. 2002, 34, 1941–1950. [Google Scholar] [CrossRef]
  3. Koch, A.J. Immune Response to Resistance Exercise. Am. J. Lifestyle Med. 2010, 4, 244–252. [Google Scholar] [CrossRef]
  4. Belfry, G.R.; Raymer, G.H.; Marsh, G.D.; Paterson, D.H.; Thompson, R.T.; Thomas, S.G. Muscle metabolic status and acid-base balance during 10-s work:5-s recovery intermittent and continuous exercise. J. Appl. Physiol. 2012, 113, 410–417. [Google Scholar] [CrossRef]
  5. Lopes, R.F.; Osiecki, R.; Rama, L.M.P.L. Biochemical markers during and after an olympic triathlon race. J. Exerc. Physiol. Online 2011, 14, 87–96. [Google Scholar]
  6. Mędraś, M. Endokrynologia Wysiłku Fizycznego Sportowców: Z Zarysem Endokrynologii Ogólnej; MedPharm: Wrocław, Poland, 2010. [Google Scholar]
  7. Lech, G.; Tyka, A.; Pałka, T.; Krawczyk, R. Effect of physical endurance on fighting and the level of sports per formance in junior judokas. Arch Budo 2010, 6, 1–6. [Google Scholar]
  8. Kubica, R.; Tyka, A.; Zuchowicz, A.; Czubała, M. Human acclimation to work in warm and humid environments. J. Physiol. Pharmacol. 1996, 47, 515–524. [Google Scholar]
  9. Scott, J.P.R.; Sale, C.; Greeves, J.P.; Casey, A.; Dutton, J.; Fraser, W.D. Effect of Exercise Intensity on the Cytokine Response to an Acute Bout of Running. Med. Sci. Sports Exerc. 2011, 43, 2297–2306. [Google Scholar] [CrossRef]
  10. Fernández-Lázaro, D.; Mielgo-Ayuso, J.; Seco Calvo, J.; Córdova Martínez, A.; Caballero García, A.; Fernandez-Lazaro, C. Modulation of Exercise-Induced Muscle Damage, Inflammation, and Oxidative Markers by Curcumin Supplementation in a Physically Active Population: A Systematic Review. Nutrients 2020, 12, 501. [Google Scholar] [CrossRef]
  11. Ambroży, T.; Kiszczak, L.; Omorczyk, J.; Ozimek, M.; Pałka, T.; Mucha, D.; Stanula, A.; Mucha, D. Influence of experimental training with external resistance in a form of “kettlebell” on selected components of women’s physical fitness. Balt. J. Health Phys. Act. 2017, 9, 28–36. [Google Scholar] [CrossRef]
  12. Brattsand, R.; Linden, M. Cytokine modulation by glucocorticoids: Mechanisms and actions in cellular studies. Aliment. Pharmacol. Ther. 1996, 10, 81–90. [Google Scholar] [CrossRef] [PubMed]
  13. Pedersen, B.K.; Febbraio, M. Muscle-derived interleukin-6—A possible link between skeletal muscle, adipose tissue, liver, and brain. Brain. Behav. Immun. 2005, 19, 371–376. [Google Scholar] [CrossRef]
  14. Brook, R.D.; Rajagopalan, S.; Pope, C.A.; Brook, J.R.; Bhatnagar, A.; Diez-Roux, A.V.; Holguin, F.; Hong, Y.; Luepker, R.V.; Mittleman, M.A.; et al. Particulate Matter Air Pollution and Cardiovascular Disease. Circulation 2010, 121, 2331–2378. [Google Scholar] [CrossRef] [PubMed]
  15. Cosio-Lima, L.; Desai, B.V.; Keck, L.; Scheeler, L.; Schuler, P.B. A comparison of cytokine responses during prolonged cycling in normal and hot environmental conditions. Open Access J. Sports Med. 2011, 2, 7–11. [Google Scholar] [CrossRef]
  16. Klarlund Pedersen, B. Exercise-induced immune changes—An influence on metabolism? Trends Immunol. 2001, 22, 473–475. [Google Scholar] [CrossRef]
  17. Rhind, S.G.; Gannon, G.A.; Shephard, R.J.; Buguet, A.; Shek, P.N.; Radomski, M.W. Cytokine induction during exertional hyperthermia is abolished by core temperature clamping: Neuroendocrine regulatory mechanisms. Int. J. Hyperth. 2004, 20, 503–516. [Google Scholar] [CrossRef] [PubMed]
  18. Cosio-Lima, L.; Desai, B.V. Stelzer Effects of 4:1 carbohydrate/protein solution versus a carbohydrate-alone solution on IL-6, TNF-α, and cortisol during prolonged cycling in hot environmental conditions. Open Access J. Sports Med. 2012, 3, 21–26. [Google Scholar] [CrossRef] [PubMed]
  19. Pilch, W.; Piotrowska, A. Heat shock proteins and their role in response to physical exertion. J. Kinesiol. Exerc. Sci. 2011, 70, 121–130. [Google Scholar]
  20. Hom, L.L.; Lee, E.C.-H.; Apicella, J.M.; Wallace, S.D.; Emmanuel, H.; Klau, J.F.; Poh, P.Y.S.; Marzano, S.; Armstrong, L.E.; Casa, D.J.; et al. Eleven days of moderate exercise and heat exposure induces acclimation without significant HSP70 and apoptosis responses of lymphocytes in college-aged males. Cell Stress Chaperones 2012, 17, 29–39. [Google Scholar] [CrossRef]
  21. Mizushima, Y.; Wang, P.; Jarrar, D.; Cioffi, W.G.; Bland, K.I.; Chaudry, I.H. Preinduction of heat shock proteins protects cardiac and hepatic functions following trauma and hemorrhage. Am. J. Physiol. Integr. Comp. Physiol. 2000, 278, R352–R359. [Google Scholar] [CrossRef]
  22. Łaszczyńska, J.; Piotrowski, M. Ocena wpływu odwodnienia termicznego na zdolność rozwijania siły mięśni antygrawitacyjnych. Pol. Przegląd Med. Lot. 2007, 3, 303–314. [Google Scholar]
  23. Liu, J.; Yeo, H.C.; Övervik-Douki, E.; Hagen, T.; Doniger, S.J.; Chu, D.W.; Brooks, G.A.; Ames, B.N. Chronically and acutely exercised rats: Biomarkers of oxidative stress and endogenous antioxidants. J. Appl. Physiol. 2000, 89, 21–28. [Google Scholar] [CrossRef]
  24. Miyauchi-Wakuda, S.; Kagota, S.; Maruyama-Fumoto, K.; Shiokawa, Y.; Yamada, S.; Shinozuka, K. Acanthopanax senticosus Root Extract Exerts Dual Action on Mouse Ileal Smooth Muscle Function, Leading to Modulation of Gastrointestinal Motility. Biol. Pharm. Bull. 2020, 43, 817–822. [Google Scholar] [CrossRef]
  25. Morton, J.P.; Maclaren, D.P.M.; Cable, N.T.; Campbell, I.T.; Evans, L.; Kayani, A.C.; Mcardle, A.; Drust, B. Trained Men Display Increased Basal Heat Shock Protein Content of Skeletal Muscle. Med. Sci. Sports Exerc. 2008, 40, 1255–1262. [Google Scholar] [CrossRef] [PubMed]
  26. Bar-Or, O. The Wingate Anaerobic Test. Sports Med. 1987, 4, 381–394. [Google Scholar] [CrossRef] [PubMed]
  27. Dotan, R.; Bar-Or, O. Load optimization for the wingate anaerobic test. Eur. J. Appl. Physiol. Occup. Physiol. 1983, 51, 409–417. [Google Scholar] [CrossRef]
  28. Franchini, E.; Sterkowicz, S.; Szmatlan-Gabrys, U.; Gabrys, T.; Garnys, M. Energy System Contributions to the Special Judo Fitness Test. Int. J. Sports Physiol. Perform. 2011, 6, 334–343. [Google Scholar] [CrossRef]
  29. Pałka, T.; Lech, G.; Pilch, W.; Tota, Ł.; Koteja, P.; Tyka, A.; Czech, P.; Rydzik, Ł.; Ambroży, T. Selected Indices of Anaerobic Capacity and Their Changes during Special Judo Fitness Tests at Different Ambient Temperatures Performed among Judo Athletes. Appl. Sci. 2022, 12, 12640. [Google Scholar] [CrossRef]
  30. Pałka, T.; Tyka, A.; Maciejczyk, M.; Bawelski, M.; Cisoń, T.; Pilch, W.; Żychowska, M. Wpływ treningu fizycznego o intensywności podprogowej w dwóch różnych temperaturach otoczenia na sprawność wysiłkowych mechanizmów termoregulacyjnych u mężczyzn. Med. Sports 2006, 7, 79–82. [Google Scholar]
  31. Obmiński, Z.; Błach, W. Objawy zmęczenia u młodych zawodników judo po długim okresie treningowym. Pol. J. Sports Med. 2007, 23, 79–85. [Google Scholar]
  32. Marcon, G.; Franchini, E.; Jardim, J.R.; Barros Neto, T.L. Structural Analysis of Action and Time in Sports: Judo. J. Quant. Anal. Sports 2010, 6, 10. [Google Scholar] [CrossRef]
  33. Ambroży, T.; Sterkowicz-Przybycień, K.; Sterkowicz, S.; Kędra, A.; Mucha, D.; Ozimek, M.; Mucha, D. Differentiation of physical fitness in polish elite sports ju-jitsu athletes physical fitness in elite ju-jitsu athletes. J. Kinesiol. Exerc. Sci. 2017, 27, 57–70. [Google Scholar] [CrossRef]
  34. Harrison, M.H.; Graveney, M.J.; Cochrane, L.A. Some sources of error in the calculation of relative change in plasma volume. Eur. J. Appl. Physiol. Occup. Physiol. 1982, 50, 13–21. [Google Scholar] [CrossRef]
  35. Ambroży, T.; Maciejczyk, M.; Klimek, A.T.; Wiecha, S.; Stanula, A.; Snopkowski, P.; Pałka, T.; Jaworski, J.; Ambroży, D.; Rydzik, Ł.; et al. The effects of intermittent hypoxic training on anaerobic and aerobic power in boxers. Int. J. Environ. Res. Public Health 2020, 17, 9361. [Google Scholar] [CrossRef] [PubMed]
  36. Laskowski, R. Skuteczność Techniczna i Taktyczna Zawodniczek Reprezentacji Polski w judo w Wieloletnim Procesie Treningowym; Wydawnictwo Uczelniane Akademii Wychowania Fizycznego i Sportu im: Gdańsk, Poland, 2006. [Google Scholar]
  37. Lech, G.; Jaworski, J.; Krawczyk, R. The level of motor co-ordination abilities and the course of fights as well as the level of achievements by senior judoists. J. Kinesiol. Exerc. Sci. 2007, 17, 63–71. [Google Scholar]
  38. Maciejczyk, M.; Szymanik, W. The effect of body fluid balance on cycling peak power. Sci. Sports 2014, 29, e91–e97. [Google Scholar] [CrossRef]
  39. Pałka, T.; Lech, G.; Tyka, A.; Pilch, W.; Wiecha, S. Wydolność fizyczna i morfologiczna budowa ciała profesjonalnych judoków i nietrenujących mężczyzn. Antropomotoryka 2010, 20. [Google Scholar]
  40. Parmigiani, S.; Bartolomucci, A.; Palanza, P.; Galli, P.; Rizzi, N.; Brain, P.F.; Volpi, R. In judo, Randori (free fight) andKata (highly ritualized fight) differentially change plasma cortisol, testosterone, and interleukin levels in male participants. Aggress. Behav. 2006, 32, 481–489. [Google Scholar] [CrossRef]
  41. Sikorski, W.; Mickiewicz, G.; Majle, B.; Łaksa, C. Struktura walki judo i jej wpływ na wydolność zawodnika. Sport Wyczyn. 1988, 9, 15–19. [Google Scholar]
  42. Franchini, E.; Del Vecchio, F.B.; Matsushigue, K.A.; Artioli, G.G. Physiological Profiles of Elite Judo Athletes. Sports Med. 2011, 41, 147–166. [Google Scholar] [CrossRef]
  43. Mickiewicz, G.; Starczewska, G.; Borkowski, L. Fizjologiczna charakterystyka zawodników kadry narodowej judo. Sport Wyczyn. 1988, 9, 285. [Google Scholar]
  44. Borkowsky, L. Evaluation of the aerobic and anaerobic fitness in judoists from the Polish national team. Biol. Sport 2001, 18, 107–117. [Google Scholar]
  45. Zubac, D.; Šimunič, B.; Buoite Stella, A.; Morrison, S.A. Neuromuscular performance after rapid weight loss in Olympic-style boxers. Eur. J. Sport Sci. 2020, 20, 1051–1060. [Google Scholar] [CrossRef] [PubMed]
  46. Gavagan, C.J.; Sayers, M.G.L. A biomechanical analysis of the roundhouse kicking technique of expert practitioners: A comparison between the martial arts disciplines of Muay Thai, Karate, and Taekwondo. PLoS ONE 2017, 12, e0182645. [Google Scholar] [CrossRef] [PubMed]
  47. Laing, S.J.; Blackwell, J.; Gwynne, D.; Walters, R.; Walsh, N.P. Neutrophil degranulation response to 2 hours of exercise in a 30 degrees C environment. Aviat. Space Environ. Med. 2005, 76, 1068–1073. [Google Scholar] [PubMed]
  48. Reid, S.A.; Speedy, D.B.; Thompson, J.M.; Noakes, T.D.; Mulligan, G.; Page, T.; Campbell, R.G.; Milne, C. Study of Hematological and Biochemical Parameters in Runners Completing a Standard Marathon. Clin. J. Sport Med. 2004, 14, 344–353. [Google Scholar] [CrossRef]
  49. Nieman, D.C.; Dumke, C.I.; Henson, D.A.; McAnulty, S.R.; McAnulty, L.S.; Lind, R.H.; Morrow, J.D. Immune and Oxidative Changes During and Following the Western States Endurance Run. Int. J. Sports Med. 2003, 24, 541–547. [Google Scholar] [CrossRef] [PubMed]
  50. Vidal Andreato, L.; Franzói de Moraes, S.M.; Lopes de Moraes Gomes, T.; Del Conti Esteves, J.V.; Vidal Andreato, T.; Franchini, E. Estimated aerobic power, muscular strength and flexibility in elite Brazilian Jiu-Jitsu athletes. Sci. Sports 2011, 26, 329–337. [Google Scholar] [CrossRef]
  51. Paulsen, G.; Benestad, H.B.; Strøm-Gundersen, I.; Mørkrid, L.; Lappegård, K.T.; Raastad, T. Delayed Leukocytosis and Cytokine Response to High-Force Eccentric Exercise. Med. Sci. Sports Exerc. 2005, 37, 1877–1883. [Google Scholar] [CrossRef]
  52. Vandenboom, R. The Myofibrillar Complex and Fatigue: A Review. Can. J. Appl. Physiol. 2004, 29, 330–356. [Google Scholar] [CrossRef]
  53. Laskowski, R.; Ziemann, E.; Olek, R.; Zembron-Lacny, A. The Effect of Three Days of Judo Training Sessions on the Inflammatory Response and Oxidative Stress Markers. J. Hum. Kinet. 2011, 30, 65–73. [Google Scholar] [CrossRef] [PubMed]
  54. Gundersen, K. Muscle memory and a new cellular model for muscle atrophy and hypertrophy. J. Exp. Biol. 2016, 219, 235–242. [Google Scholar] [CrossRef]
  55. Nosaka, K.; Clarkson, P.M. Changes in indicators of inflammation after eccentric exercise of the elbow flexors. Med. &amp Sci. Sports Exerc. 1996, 28, 953–961. [Google Scholar] [CrossRef]
  56. Beaton, L.J.; Tarnopolsky, M.A.; Phillips, S.M. Contraction-induced muscle damage in humans following calcium channel blocker administration. J. Physiol. 2002, 544, 849–859. [Google Scholar] [CrossRef]
  57. Romanovsky, A.A. Thermoregulation: Some concepts have changed. Functional architecture of the thermoregulatory system. Am. J. Physiol. Integr. Comp. Physiol. 2007, 292, R37–R46. [Google Scholar] [CrossRef]
  58. Selkirk, G.A.; McLellan, T.M.; Wright, H.E.; Rhind, S.G. Mild endotoxemia, NF-κB translocation, and cytokine increase during exertional heat stress in trained and untrained individuals. Am. J. Physiol. Integr. Comp. Physiol. 2008, 295, R611–R623. [Google Scholar] [CrossRef] [PubMed]
  59. Leon, L.R.; Helwig, B.G. Heat stroke: Role of the systemic inflammatory response. J. Appl. Physiol. 2010, 109, 1980–1988. [Google Scholar] [CrossRef] [PubMed]
  60. Petersen, A.M.W.; Pedersen, B.K. The anti-inflammatory effect of exercise. J. Appl. Physiol. 2005, 98, 1154–1162. [Google Scholar] [CrossRef]
  61. Dohi, K.; Mastro, A.M.; Miles, M.P.; Bush, J.A.; Grove, D.S.; Leach, S.K.; Volek, J.S.; Nindl, B.C.; Marx, J.O.; Gotshalk, L.A.; et al. Lymphocyte proliferation in response to acute heavy resistance exercise in women: Influence of muscle strength and total work. Eur. J. Appl. Physiol. 2001, 85, 367–373. [Google Scholar] [CrossRef]
  62. Smith, L.L.; McKune, A.J.; Semple, S.J.; Sibanda, E.; Steel, H.; Anderson, R. Changes in serum cytokines after repeated bouts of downhill running. Appl. Physiol. Nutr. Metab. 2007, 32, 233–240. [Google Scholar] [CrossRef]
  63. Marin, D.P.; Cassia Macedo dos Santos, R.; Bolin, A.P.; Guerra, B.A.; Hatanaka, E.; Otton, R. Cytokines and Oxidative Stress Status Following a Handball Game in Elite Male Players. Oxid. Med. Cell. Longev. 2011, 2011, 804873. [Google Scholar] [CrossRef] [PubMed]
  64. Wolsk, E.; Mygind, H.; Grøndahl, T.S.; Pedersen, B.K.; van Hall, G. IL-6 selectively stimulates fat metabolism in human skeletal muscle. Am. J. Physiol. Metab. 2010, 299, E832–E840. [Google Scholar] [CrossRef] [PubMed]
  65. Zehsaz, F.; Farhangi, N.; Mirheidari, L. Clinical immunology The effect of Zingiber officinale R. rhizomes (ginger) on plasma pro-inflammatory cytokine levels in well-trained male endurance runners. Cent. Eur. J. Immunol. 2014, 2, 174–180. [Google Scholar] [CrossRef] [PubMed]
  66. Morton, J.P.; Kayani, A.C.; McArdle, A.; Drust, B. The Exercise-Induced Stress Response of Skeletal Muscle, with Specific Emphasis on Humans. Sports Med. 2009, 39, 643–662. [Google Scholar] [CrossRef]
Figure 1. Diagram of the study with measurement points.
Figure 1. Diagram of the study with measurement points.
Applsci 13 09381 g001
Table 1. Inclusion and exclusion criteria.
Table 1. Inclusion and exclusion criteria.
20 Professional Judo Competitors
Included: 15Excluded: 5
Inclusion criteriaExclusion criteria
Age > 18 yearsAge < 18 years
Good health statusDiseases and injuries
High sports skill levelLow sports skill level
Training experience > 10 yearsToo short training experience
At least 5th place in national competitionsNo success in national competitions
Examination started by 15 participants
Full scope of tests completed by 10 participantsFull scope of tests not completed by 5 participants
Table 2. Characteristics of a single series of alternate pulsating efforts.
Table 2. Characteristics of a single series of alternate pulsating efforts.
LLIULILLIULILLIULILLIULI
15 s.30 s.15 s.30 s.30 s.60 s.30 s.60 s.20 s.45 s.20 s.45 s.15 s.30 s.15 s.30 s.
UL—upper limbs, LL—lower limbs, I—interval.
Table 3. Statistical characteristics of the Wingate test results performed with lower limbs (LL) and upper limbs (UL) in judo athletes.
Table 3. Statistical characteristics of the Wingate test results performed with lower limbs (LL) and upper limbs (UL) in judo athletes.
IndexLL
x ¯ SD
UL
x ¯ SD
PP (W)933.00 ± 216.13536.09 ± 107.73
RPP (W·kg−1)12.12 ± 0.877.00 ± 0.56
TW (kJ)21.85 ± 4.2613.36 ± 2.50
TW (J·kg−1)285.27 ± 17.73173.55 ± 13.50
LL—lower limbs, UL—upper limbs, TW—total works, PP—peak power, RPR—relative peak power, x ¯ —mean, SD—standard deviation.
Table 4. Lactate concentration in blood collected before and after the Wingate test performed with the lower limbs (LL) and upper limbs (UL).
Table 4. Lactate concentration in blood collected before and after the Wingate test performed with the lower limbs (LL) and upper limbs (UL).
IndexLLUL
BeforeAfterBeforeAfter
La [mmol·L−1]1.92 ± 0.3114.11 ± 1.371.88 ± 0.2713.05 ± 1.16
p<<0.05<0.05
LL—lower limbs, UL—upper limbs, La—lactate, p—significance.
Table 5. Physiological and biochemical indices in the graded exercise test with lower (LL) and upper (UL) limbs.
Table 5. Physiological and biochemical indices in the graded exercise test with lower (LL) and upper (UL) limbs.
IndexLL
x ¯ SD
UL
x ¯ SD
VO2max [mL·kg−1, L·min−1]43.23 ± 7.7937.19 ± 5.26
HRmax [h·min−1]185 ± 8.19183 ± 8.43
LL—lower limbs, UL—upper limbs, HR—heart rate, x ¯ —mean, SD—standard deviation.
Table 6. Blood lactate concentration measured before and after the graded exercise test performed with the lower limbs (LL) and upper limbs (UL).
Table 6. Blood lactate concentration measured before and after the graded exercise test performed with the lower limbs (LL) and upper limbs (UL).
IndexLLUL
BeforeAfterBeforeAfter
La [mmol·L−1]1.97 ± 0.2012.95 ± 1.801.87 ± 2310.21 ± 2.09
p<<0.05<0.05
LL—lower limbs, UL—upper limbs, La—lactate, p—significance.
Table 7. Mean and standard deviation of body mass (BM kg) in comparison to temperatures in individual measurements before and after a series of pulsating exercise.
Table 7. Mean and standard deviation of body mass (BM kg) in comparison to temperatures in individual measurements before and after a series of pulsating exercise.
TemperatureMeasurement x ¯ SD
21 °CBefore74.68 ± 11.32
After73.70 ± 10.99 #
31 °CBefore74.87 ± 11.29
After73.31 * ± 11.12
#—significant differences at p < 0.05 at 21 °C—differences between measurements, *—significant differences at p < 0.05 at 31 °C—differences between measurements.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Pałka, T.; Ambroży, T.; Sadowska-Krępa, E.; Rydzik, Ł.; Wiecha, S.; Maciejczyk, M.; Kacúr, P.; Koteja, P.M.; Vadašová, B.; Witkowski, K.; et al. The Levels of Markers of Muscle Damage, Inflammation, and Heat Shock Proteins in Judokas and the Extent of Their Changes during a Special Performance Test at Different Ambient Temperatures. Appl. Sci. 2023, 13, 9381. https://doi.org/10.3390/app13169381

AMA Style

Pałka T, Ambroży T, Sadowska-Krępa E, Rydzik Ł, Wiecha S, Maciejczyk M, Kacúr P, Koteja PM, Vadašová B, Witkowski K, et al. The Levels of Markers of Muscle Damage, Inflammation, and Heat Shock Proteins in Judokas and the Extent of Their Changes during a Special Performance Test at Different Ambient Temperatures. Applied Sciences. 2023; 13(16):9381. https://doi.org/10.3390/app13169381

Chicago/Turabian Style

Pałka, Tomasz, Tadeusz Ambroży, Ewa Sadowska-Krępa, Łukasz Rydzik, Szczepan Wiecha, Marcin Maciejczyk, Peter Kacúr, Piotr Michał Koteja, Bibiana Vadašová, Kazimierz Witkowski, and et al. 2023. "The Levels of Markers of Muscle Damage, Inflammation, and Heat Shock Proteins in Judokas and the Extent of Their Changes during a Special Performance Test at Different Ambient Temperatures" Applied Sciences 13, no. 16: 9381. https://doi.org/10.3390/app13169381

APA Style

Pałka, T., Ambroży, T., Sadowska-Krępa, E., Rydzik, Ł., Wiecha, S., Maciejczyk, M., Kacúr, P., Koteja, P. M., Vadašová, B., Witkowski, K., & Tota, Ł. (2023). The Levels of Markers of Muscle Damage, Inflammation, and Heat Shock Proteins in Judokas and the Extent of Their Changes during a Special Performance Test at Different Ambient Temperatures. Applied Sciences, 13(16), 9381. https://doi.org/10.3390/app13169381

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop