Skip to main content

ORIGINAL RESEARCH article

Front. Nutr., 15 November 2022
Sec. Sport and Exercise Nutrition
This article is part of the Research Topic Caffeine Ergogenic Effects on Sport and Exercise Performance View all 4 articles

Effects of caffeinated beverage ingestion on salivary antimicrobial proteins responses to acute exercise in the heat

  • College of Physical Education and Health, Guangxi Normal University, Guilin, China

Caffeine is commonly used by athletes as an energy supplement, but studies on its effects on salivary antimicrobial proteins (sAMPs) in humans during exercise are rare with ambiguous findings. It is also still controversial whether hot environments affect sAMPs. Using a double-blind, randomized crossover design, we examined 12 endurance-trained male collegiate athletes who completed the following two experiments: a caffeine experiment (CAF) and a placebo experiment (PLA). The participants acutely consumed caffeine-containing (6 mg/kg body weight) sports drink (3 ml/kg body weight) or an equivalent amount of placebo sports drink and subsequently performed cycling exercise for 40 min in the heat (33 ± 0.24°C, 64 ± 2.50% relative humidity) at 50% of maximum output power, maintaining a pedal frequency of 60 rpm. Saliva was collected at 60 min pre-exercise (T–60), the start of exercise (T0), 20 min of exercise (T20), and the end of the exercise (T40), and salivary α-amylase (sAA) and lactoferrin (sLac) were tested. The rating of perceived exertion (RPE) was measured at T0–T40, while core body temperature (Tre) and heart rate (HR) were monitored continuously. Tre, HR, and RPE increased with time during the exercise (p < 0.01), with no difference in Tre and HR between the CAF and PLA (p > 0.05), but RPE was higher in the PLA than in the CAF (p < 0.05). sLac concentrations were significantly higher at T20 and T40 than at T–60 (p < 0.01) and higher at T40 than at T0 and T20 (p < 0.01), with no difference between the CAF and PLA (p > 0.05). Compared with T–60, sAA activity was significantly increased at T0, T20, and T40 (p < 0.01). sAA activity was significantly higher at T40 than at T0 and T20 (p < 0.01), at T20 than at T0 (p < 0.05), and in the CAF than in the PLA (p < 0.01). Heat stress caused by acute exercise in hot environments did not impair the sAMPs parameters of the participants. Instead, the participants showed transient increase in sAA activity and unchanged sLac concentrations. Caffeine may increase salivary markers related to immune response during exercise.

Introduction

Exercise plays an important role in immunity (1). Studies have confirmed that regular medium-intensity exercise can enhance immune function, and prolonged high-intensity training can cause immunosuppression (2). Athletes in various sports disciplines frequently report symptoms associated with upper respiratory tract infections (URTI) during extensive training and competition, which could lead to fever and dehydration, reduced energy and protein stores, decreased muscle strength, and reduced exercise performance. Mucosal immunity serves as the first line of defense against URTI (3). The expression of salivary antimicrobial proteins (sAMPs), which is a prime factor in determining mucosal immunity (4), can be regulated by exercise (57). sAMPs play both antimicrobial and immunomodulatory roles. Regarding their antimicrobial roles, they act directly on microorganisms by killing them, inhibiting their growth and activity, or preventing them from initiating inflammatory responses. Regarding their immunomodulatory roles, sAMPs participate in the immune response by recruiting cells, inducing cytokines, and helping in tissue repair (8).

sAMPs can be used as parameters to assess the effects of exercise on mucosal immunity (9). The upper respiratory tract is protected by sAMPs, which includes salivary lactoferrin (sLac), salivary α-amylase (sAA), lysozyme, etc., (10). sLac, one of the most abundant sAMPs, is an iron-binding glycoprotein secreted by the plasma glandular vesicle cells of the salivary glands (11). It performs its antibacterial function by sequestering iron away from bacteria to prevent their growth (12). sLac inhibits the secretion of tumor necrosis factor (TNF)-α, interleukin (IL)-1β, IL-6, and IL-8 from monocytes and is a marker of innate mucosal immunity (13). sAA is also one of the most abundant proteins in saliva, accounting for 40–50% of proteins in saliva. It is an innate mucosal immune marker with antimicrobial properties of inhibiting the adhesion and growth of bacteria (14). In addition, sAA is often used as a biomarker of physical stress and sympathetic nervous system activity (15). Previous studies have examined sLac and sAA and their potential relationship with respiratory symptoms in terms of different exercise duration, intensities, and types. A study showed no change in the sLac concentrations of 47 non-elite marathoners after they completed marathon (16). Another study showed that 14 endurance athletes had significantly higher sLac concentrations after completing a 50-km ultramarathon race compared with the concentrations before the race (17). In addition, a study that recruited eight basketball players showed decrease in sLac concentrations during training and competition (18); Wunsch et al. (19) reported in their study that 84 male participants aged 18–30 years showed increased sAA activity after moderate-to-high ergometer cycling. Walsh et al. (20) reported that eight trained men experienced a decrease in sAA activity immediately after cycling. To date, studies on the effects of exercise on sLac and sAA are relatively scarce, with numerous associated controversies that require further research.

Many major sporting events, such as the Summer Olympics and the FIFA World Cup, are held in hot environments. It has been shown that increased sympathetic excitation during exercise in a hot environment (>30°C) can cause dehydration, decreasing salivary flow rate, which subsequently decreases mucosal surface sAMPs concentration and increases the risk of URTI (2123). A study reported that 10 healthy men showed increased sLac concentrations after running on a treadmill in a hot and humid environment (40°C and 50% relative humidity) at a 95% ventilatory threshold (24). In addition, sAA activity increased in eight males after running at 60% VO2max for 2 h for 7 consecutive days at 34°C and 32% relative humidity (25). Similarly, there are fewer studies on the effects of exercise in hot environments on sAMPs response, and the conclusions on its effects on mucosal immune function are still controversial. In sports research, it is important to assess how the incidence of URTI can be reduced to avoid it affecting exercise performance during training or competition in hot environments.

Caffeine (1,3,7-trimethylxanthine) is present in many plants and is often added to various foods and beverages as an energy aid, increasingly becoming one of the most consumed psychoactive substances (26). After World Anti-Doping Agency removed caffeine from the list of prohibited substances, it has commonly been used by athletes to enhance exercise capacity and performance. Studies have shown that consumption of 3–6 mg/kg body weight of caffeine can improve exercise performance (27, 28). In addition to the effect caffeine has on the central nervous system, it also has effects on the digestive, respiratory, urinary tract, and other systems (26). Such effects are its correlation with a lower risk of Alzheimer’s disease (29, 30) and Parkinson’s disease (31), its ability to control diabetes (32), its antioxidant properties (33), etc. Caffeine, like other members of the methylxanthine family, is largely anti-inflammatory and modulates innate and adaptive immune responses (34). Few controversial studies have explored the effects of caffeine on mucosal immunity in athletes. One study showed that green tea (containing 6 mg/kg body weight of caffeine) consumption by taekwondo athletes after training sessions increased sAA activity (35), whereas Klein et al. (36) found that caffeine did not alter sAA activity. Salivary secretion is regulated by the autonomic nervous system, and the salivary glands are innervated by branches of the parasympathetic and sympathetic nervous systems. Caffeine intake is associated with enhanced sympathetic nervous system activity and increased plasma adrenaline (16, 20). Therefore, it can be hypothesized that it can cause salivary response to exercise. The effect of caffeine supplementation on sAA and sLac in humans during exercise in a hot environment is still unclear and needs further study.

Therefore, the present study focused on investigating the effects of caffeine intake (6 mg/kg) and hot environments on sAA and sLac after moderate intensity exercise in male endurance-trained college athletes. We hypothesized that exercise in a hot environment may decrease sAMPs concentrations, while caffeine intake may enhance the expression of human mucosal immune markers.

Materials and methods

Participants

Twelve healthy college students with long-term participation in regular endurance training (mean ± standard deviation; age: 21.17 ± 1.07 y, height: 180.42 ± 5.22 cm, weight: 72.03 ± 6.55 kg, VO2max: 50.19 ± 9.54 ml/kg/min, and average training years 2.89 ± 1.14 y) were recruited. Inclusion criteria: (a) no heat acclimation; (b) no history of cardiovascular, metabolic, or respiratory disease; (c) no supplements or medications that affect thermoregulation; (d) aerobic training of not less than 4 times per week. Participants signed an informed consent form after understanding the study content, procedure, and potential risks in detail. This study strictly complies with the Declaration of Helsinki and was approved by the Ethics Committee of Guangxi Normal University. Participants were required to maintain a healthy lifestyle throughout the experimental period and to avoid strenuous exercise, alcohol consumption, and caffeine intake for 24 h before the trials. They were also instructed to maintain and record their patterns of physical activity and dietary habits prior to the familiarization experiment and to repeat this practice in subsequent experiments. Diet was prohibited for 2 h prior to the trial, and three meals were standardized (carbohydrate, 50–65%; protein, 10–15%; and fat, 20–30% in one meal).

Preliminary testing

Participants first visited the laboratory where air displacement plethysmography (BOD POD) (Life Measurement Instruments, Concord, Calif.) was used to measure body composition (percentage of body fat). The participants wore a bathing suit and bathing cap, and they were instructed to remove all jewelry. All participants were relaxed and comfortable in the BOD POD chamber and were asked to breathe normally during the 5 min test. Subsequently, we performed an incremental exercise test to volitional exhaustion using a cycle ergometer (MONARK 839E, Varberg, Sweden) to determine the maximum power. Prior to the measurements, participants adjusted and recorded the height of the bike seat for two subsequent trials and wore a heart rate (HR) band. They started cycling at 0 kp and increased the load by 0.25 kp every 15 s until volitional fatigue, maintaining a speed of 60 rpm. After a 10 min break, participants were familiarized with the processes of caffeine or placebo administration, exercise protocol, and saliva collection to ensure that they were accustomed to the procedures used in the two formal trials.

Experimental procedures

A double-blind, randomized crossover experimental design was used in this study, which included 3 sessions. Seven to ten days after the familiarization test, the participants completed two experiments [a caffeine experiment (CAF) and placebo experiment (PLA)], which were separated by at least a 1-week interval. All experiments were performed between 13:00 and 15:10 to eliminate the effect of circadian rhythm changes. For both trials, the participants entered the laboratory after a 2 h fast. Upon arrival, the participants first emptied their bladder, and their nude body mass was measured (AD6205B, A&D Co., Ltd., Tokyo, Japan). Next, the participants self-inserted a rectal thermometer into the anal sphincter at a distance of 10 cm and fixed a HR telemetry band (Polar Beat, Kempele, Finland) around the chest. Saliva baseline samples were collected while seated on a chair, and then participants acutely ingested a sports drink (3 ml/kg body weight) with 6 mg/kg caffeine (200 mg/capsule, Prolite, USA) or an equivalent placebo sports drink (MI zone beverage, Danone, China). Peak plasma caffeine concentrations occur at approximately 30–60 min (37); therefore, according to previous studies, participants remained seated from 13:30 for 60 min (38). At 14:28, a second saliva sample was collected. Immediately at 14:30, participants began cycling at 50% maximum power for 40 min in a climate chamber (33 ± 0.24°C and 64 ± 2.50% relative humidity), maintaining the speed at 60 rpm. The mean workload of participants was 1.92 ± 0.43 kp. At 14:50 (20 min of exercise), a third saliva collection was performed. To avoid the effect of dehydration on saliva composition, the participants were supplemented with a sports drink (3 ml/kg body weight) after the saliva was collected. At 15:10 (end of the exercise), the fourth saliva sample was collected for testing. Finally, the participants dried their body sweat and measured their post-exercise weight. The experimental procedure is shown in Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1. Experimental procedure chart.

Measurements

Physiological indices measurement

A wet-bulb globe thermometer (WBGT-213A/213B) was used to monitor ambient temperature and relative humidity during each trial. Before and after each trial, participants (in shorts) were weighed (XK3150, EXCELL, Shanghai, China). The rectal probe thermometer (YSI401AC, USA) was attached to a temperature monitor to measure the participants’ core body temperature (Tre), which was logged at 1 min intervals by a data logger (YSI Precision, USA). HR was recorded every 1 min throughout the test period. Rating of perceived exertion (RPE) was recorded every 10 min from the beginning to the end of the exercise using a Borg scale (39). The total sweat volume was calculated using the following formula: body mass before the trial + the amount of the ingested drink – body mass after the exercise.

Saliva collection and analysis

Participants’ mouths were examined to ensure there were no bleeding wounds; during sample collection, they were seated and instructed to rinse their mouths twice with water. Saliva samples were collected at the following four points: 60 min before the exercise (T–60), at the start of exercise (T0), at 20 min of exercise (T20), and immediately after the exercise (T40). For sample collection, participants chewed the swab at a rate of once per second for 1 min. The saliva produced was collected into pre-weighed test tubes (Salivettes®; Sarstedt, Nümbrecht, Germany) using a cotton swab. The cotton swab was placed back into the saliva collection tube, and the tubed was centrifuged (TDL80-2B, Shanghai, China) at 3,800 rpm for 20 min. Subsequently, saliva samples were weighed for saliva volume estimation and stored at −80°C. Saliva flow rate was calculated by dividing the volume collected by the time duration for collection. Analysis of sLac concentration was performed using an enzyme-linked immunosorbent assay according to the manufacturer’s instructions (human lactoferrin, Nanjing Jiancheng Bioengineering Institute, Nanjing, China). sAA activity was determined using amylopectin-iodine colorimetric assay (α-Amylase Assay Kit, Nanjing Jian Cheng Bioengineering Institute, Nanjing, China). The intra-assay coefficient of variation for sLac and sAA were 7.8 and 4.2%, respectively. Two samples were taken from each participant, and the concentration for all the samples were measured on the same plate.

Statistical analysis

G*Power 3.1.9.7, with an effect size of 0.40, an alpha value of 0.05, and a power of 0.85, was used to estimate the sample size. Based on the calculation, the minimum sample size necessary to satisfy the test requirements was 12. All data were statistically analyzed using SPSS 25.0 software (Chicago, IL, USA) and expressed as mean ± standard deviation. The Shapiro-Wilk test and Levene tests showed that the data were normally distributed and the variance was homogeneous. Body weight and sweat loss were compared using paired t-test. Tre, HR, RPE, sAA, and sLac were analyzed using (condition × time) repeated measures ANOVA, corrected by the Greenhouse–Geisser method when the sphericity test was violated. If significant differences were found, the Bonferroni post hoc test was used. Significant differences were considered at p < 0.05.

Results

Salivary responses

sLac concentration increased significantly at T20 (CAF: 1.30 ± 0.57, PLA: 1.23 ± 0.57) (p < 0.01) and T40 (CAF: 1.60 ± 0.66, PLA: 1.58 ± 0.76) (p < 0.01) compared with that at T–60 (CAF: 0.96 ± 0.23, PLA: 0.95 ± 0.21, p = 0.871). The sLac concentration at T40 was higher than that at T0 (CAF: 1.11 ± 0.32, PLA: 1.01 ± 0.37) (p < 0.01) and T20 (p < 0.01). No differences were observed in the change in sLac concentration between the CAF and PLA (p = 0.747) (Figure 2A).

FIGURE 2
www.frontiersin.org

Figure 2. (A) Salivary lactoferrin concentration, (B) salivary α-amylase activity responses to CAF and PLA. Values are means ± standard deviation (n = 12). *p < 0.05, **p < 0.01 vs. T–60; #p < 0.05; ##p < 0.01 vs. T0; Δp < 0.01 vs. T20, p < 0.05 vs. PLA.

Compared to T–60 (CAF: 3285 ± 1588, PLA: 3367 ± 1020, p = 0.882), sAA activity was significantly increased at T0 (CAF: 4347 ± 1284, PLA: 3338 ± 1231) (p < 0.05), T20 (CAF: 5203 ± 1702, PLA: 4107 ± 1345) (p < 0.01) and T40 (CAF: 7281 ± 1769, PLA: 5746 ± 1769) (p < 0.01). sAA activity was higher at T40 than at T0 and T20 (p < 0.01) and was significantly higher at T20 than at T0 (p < 0.05). sAA activity in the CAF was higher than that in the PLA (p < 0.05) (Figure 2B).

Compared with T–60 (CAF:1.15 ± 0.55, PLA:1.33 ± 0.60, p = 0.454), there was no significant change in salivary flow rate at T0 (CAF:1.28 ± 0.64,PLA:1.16 ± 0.44) (p = 0.733),T20 (CAF:1.20 ± 0.55,PLA:1.31 ± 0.48)(p = 0.824), T40 (CAF:1.19 ± 0.66,PLA:1.07 ± 0.47) (p = 0.162). Salivary flow rate did no differ between trials (p = 0.958) (Figure 3).

FIGURE 3
www.frontiersin.org

Figure 3. Saliva flow rate during the two trials of the participants. Data are mean ± standard deviation (n = 12).

Core temperature

At T0, the Tre in the CAF and PLA was 37.37 ± 0.18°C and 37.41 ± 0.22°C (p = 0.448), respectively. Tre increased linearly (peaked at CAF: 38.19 ± 0.16°C vs. PLA: 38.29 ± 0.34°C) during the exercise (p < 0.01). Tre was unaffected by caffeine ingestion as it was similar between the CAF and PLA throughout the exercise (p = 0.913) (Figure 4).

FIGURE 4
www.frontiersin.org

Figure 4. The change of core temperature in two trials. Data are mean ± standard deviation (n = 12). **p < 0.01 vs. T0.

Sweat loss

In both trials, the participants lost weight after the exercise compared to their pre-exercise weight (p < 0.01). There was no significant difference in sweat volume between the two trials (p > 0.05), and the percentage weight loss in the CAF and PLA was < 1%, indicating that the participants were not dehydrated during the experiments (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Changes in sweat volume and weight loss of the participants during trials.

Heart rate and rating of perceived exertion

During the exercise, HR and RPE increased over time in both trials compared to the HR and RPE at T0 (p < 0.01). There was no significant difference in HR between the two trials (p = 0.583); however, RPE in the CAF was lower than in the PLA (p < 0.05) (Tables 2, 3).

TABLE 2
www.frontiersin.org

Table 2. Heart rate responses over the entire trial (beats/min).

TABLE 3
www.frontiersin.org

Table 3. Changes in RPE during exercise in both groups.

Discussion

This study showed that participants had increased Tre during the exercise in a hot environment (ΔTre < 1°C; Tre > 38°C at the end of exercise) and that their sLac and sAA responses to exercise were similar to those reported in previous studies that were conducted in thermoneutral conditions (40). Furthermore, our results showed that supplementation with 6 mg/kg body weight of caffeine did not alter salivary flow rate, HR, or sLac concentration but increased sAA activity.

Saliva, compared with plasma and serum, can be collected quickly, frequently, and non-invasively for a wide range of applications in sports science (41). Studies have rarely investigated if changes in the sAMPs response (e.g., sAA and sLac) alter susceptibility to infection. In our experiment, the participants consumed caffeine (6 mg/kg) and subsequently exercised in a hot environment for 40 min, causing an increase in Tre of about 1°C (Tre > 38°C at the end of the exercise, Figure 4) and in sLac concentration in both trials, which is consistent with the findings of McKenna et al. (24). Another study also showed that sLac concentration increased in eight participants after 45 min of running on a treadmill at 75% VO2max (42). The results suggested that exercise may activate neutrophils to release lactoferrin into saliva (43), which may have increased sLac concentration and further modulated mucosal surface inflammation. Meanwhile, moderate-intensity exercise may promote anti-inflammation by reducing toll-like receptors and increasing circulating T regulatory cells, in addition to reducing the release of pro-inflammatory cytokines in circulating cells, muscles, and adipose tissues (44). The effect of a hot environment on sLac concentration was consistent with the results of 11 men obtained after 45 min of running at 75% VO2max under thermoneutral conditions (45). Our result showed that sLac concentration was less affected by exercise in a hot environment and may not impair mucosal immune function. Another study showed that sLac concentration was unchanged in 16 elite male taekwondo athletes for a 7-week training (46), while 10 female taekwondo (without rapid weight changes) decreased sLac concentration after the competition (47). In addition, Li et al. (48) found no difference in lactoferrin levels between 12 male adolescent volleyball players and a sedentary control group after high-intensity training. These studies have shown that different changes in sLac concentrations during exercise are associated with age and sex, environmental conditions, type of exercise, and exercise intensity. No difference in sLac concentrations was observed between the CAF and PLA. This result may be associated with changes in sympathetic activity and not with the hypothalamic-pituitary-adrenal axis activity (49). Caffeine consumption is associated with enhanced sympathetic nervous system activity and increased plasma adrenaline (50, 51), and its mechanism of action needs to be further studied due to the lack of relevant studies.

sAA activity is regulated by the sympathetic nervous system, with most of the proteins produced by the parotid glands (52). Antimicrobial proteins (sLac and sAA) act synergistically to protect the upper respiratory tract from pathogenic invasion, similar to the protective properties of IgA in saliva (53). The activity of sAA is related to the intensity and mode of exercise (54). Yasuda et al. (55) found that 11 male cyclists had increased sAA activity after exercising at 60% of peak oxygen uptake in a thermoneutral environment. Another study showed increased sAA activity in adolescent swimmers after swimming lessons (56). Gill et al. (53) also found that 23 ultra-endurance runners had increased sAA activity after a 230-km multi-stage ultramarathon in hot environmental conditions (32– 40°C). In the present trial, compared with T–60, sAA activity increased with time during the exercise, which is consistent with the above above-mentioned previous findings and shows that the sAA activity responses in a hot environment were the similar to those in a thermoneutral environment. In addition, 11 endurance-trained male athletes consumed 6 mg/kg body weight of caffeine or placebo 1 h prior to exercise, followed by a 90 min cycling at 70% VO2max, showed increased sAA activity at rest and during the exercise (57), which was consistent with the results of the present experimental study. An increase in sAA activity at rest and during exercise could indicate that salivary secretion is induced primarily by adrenergic stimulation. Caffeine is a potent stimulator of the sympathetic nervous system, increasing its activity by blocking adenosine receptors and releasing plasma catecholamines. Following adenosine binding to A2 receptors, adenosine cyclase activity is enhanced by inhibition of phosphodiesterase, thereby inducing an intracellular signaling cascade mediated by cyclic adenosine monophosphate (cAMP) upregulation. Thus, the extracellular binding of caffeine is amplified intracellularly by the second messenger cAMP. High concentrations of cAMP activate protein kinase A, which inhibits lipopolysaccharide-stimulated production of pro-inflammatory cytokines such as tumor necrosis factor (TNF-α) and interleukin (IL-12), thereby preventing the release of pro-inflammatory cytokines and promoting the production of anti-inflammatory cytokines (58). Adenylyl cyclase activity can also cause adrenergic stimulation causing high salivary organic content including elevated total protein levels, especially sAA activity. In addition, caffeine reduces TLR1 and TLR2 expressions and promotes anti-inflammation (58) and enhances mucosal immunity and control of inflammation.

Salivary composition and secretion are controlled by the autonomic nervous system (59), which in turn indirectly regulate the salivary flow rate (21). The salivary flow rate depends mainly on the type of activated autonomic receptors, which in turn affects saliva composition (9). A study have shown that dehydration affects level of sAMPs (22). Therefore, in this study rehydration was performed at 20 min of exercise to maintain normal hydration, and the sweat volume of the participants in this study less than 1%, indicating the absence of dehydration (Table 1). Staying euhydrated can reduce the risk of UTRI (60). The present study showed that RPE was significantly lower in the CAF than in the PLA. The present results were consistent with those of previous results that caffeine reduced RPE independent of ambient temperature (61, 62). Caffeine acts as an adenosine receptor antagonist that affects the central nervous system (63), leading to delayed fatigue and improved exercise performance (64). The effect of caffeine on human heart rate during exercise is still controversial. Stadheim et al. (65) found that caffeine enhances the activity of the sympathetic nervous system, causing an increase in HR. In contrast, other studies have shown that oral caffeine can lower HR during exercise (66, 67). Other studies have also shown that caffeine did not affect HR when the participants exercised at 33°C or 37°C (68, 69), which was consistent with our findings. Therefore, the effect of caffeine ingestion on HR during exercise needs to be further investigated under different ambient temperatures and with different forms of exercise.

Limitations

There are limitations to this study. First, caffeine absorption varies individually and we did not examine plasma caffeine concentrations. Second, the increase in sAA activity caused by caffeine may be due to increased plasma levels of catecholamines, and we did not test blood adrenaline and norepinephrine concentrations. Third, there are various sAMPs, but only sLac and sAA were chosen for testing. In future studies, different doses of caffeine could be administered orally, and different intensities of exercise could be performed in different temperature environments to observe the responses of lysozyme, immunoglobulin A, immunoglobulin M, sLac, and sAA.

Conclusion

The current findings suggest that ensuring euhydration during exercise in hot environments may not pose a greater threat to sAMPs parameters. In addition, participants supplemented with caffeine (6 mg/kg) showed no change in sLac concentration, but caused increase in sAA activity, and therefore ensuring adequate levels of sAMPs.

Data availability statement

The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving human participants were reviewed and approved by the College of Physical Education and Health, Guangxi Normal University. The patients/participants provided their written informed consent to participate in this study.

Author contributions

YH and HW designed and carried out the experiments. LC analyzed the data and wrote the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the “Innovation Project of Guangxi Graduate Education” (No. YCBZ2022069).

Acknowledgments

We thank the participants in this study for their collaboration.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2022.973003/full#supplementary-material

References

1. Nieman DC, Wentz LM. The compelling link between physical activity and the body’s defense system. J Sport Health Sci. (2019) 8:201–17. doi: 10.1016/j.jshs.2018.09.009

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Simpson RJ, Kunz H, Agha N, Graff R. Exercise and the regulation of immune functions. Prog Mol Biol Transl Sci. (2015) 135:355–80. doi: 10.1016/bs.pmbts.2015.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Brandtzaeg P, Baekkevold ES, Farstad IN, Jahnsen FL, Johansen FE, Nilsen EM, et al. Regional specialization in the mucosal immune system: what happens in the microcompartments? Immunol Today. (1999) 20:141–51. (98)01413-3 doi: 10.1016/s0167-5699

CrossRef Full Text | Google Scholar

4. Gillum T, Kuennen M, Miller T, Riley L. The effects of exercise, sex, and menstrual phase on salivary antimicrobial proteins. Exerc Immunol Rev. (2014) 20:23–38.

PubMed Abstract | Google Scholar

5. Walsh NP. Recommendations to maintain immune health in athletes. Eur J Sport Sci. (2018) 18:820–31. doi: 10.1080/17461391.2018.1449895

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Spence L, Brown WJ, Pyne DB, Nissen MD, Sloots TP, McCormack JG, et al. Incidence, etiology, and symptomatology of upper respiratory illness in elite athletes. Med Sci Sports Exerc. (2007) 39:577–86. doi: 10.1249/mss.0b013e31802e851a

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Ruuskanen O, Luoto R, Valtonen M, Heinonen OJ, Waris M. Respiratory viral infections in athletes: many unanswered questions. Sports Med. (2022) 52:2013–21. doi: 10.1007/s40279-022-01660-9

PubMed Abstract | CrossRef Full Text | Google Scholar

8. West NP, Pyne DB, Renshaw G, Cripps AW. Antimicrobial peptides and proteins, exercise and innate mucosal immunity. FEMS Immunol Med Microbiol. (2006) 48:293–304. doi: 10.1111/j.1574-695X.2006.00132.x

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Papacosta E, Nassis GP. Saliva as a tool for monitoring steroid, peptide and immune markers in sport and exercise science. J Sci Med Sport. (2011) 14:424–34. doi: 10.1016/j.jsams.2011.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Gleeson M, Pyne DB. Special feature for the Olympics: effects of exercise on the immune system: exercise effects on mucosal immunity. Immunol Cell Biol. (2000) 78:536–44. doi: 10.1111/j.1440-1711.2000.t01-8-.x

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Killer SC, Svendsen IS, Gleeson M. The influence of hydration status during prolonged endurance exercise on salivary antimicrobial proteins. Eur J Appl Physiol. (2015) 115:1887–95. doi: 10.1007/s00421-015-3173-1

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Ntovas P, Loumprinis N, Maniatakos P, Margaritidi L, Rahiotis C. The effects of physical exercise on saliva composition: a comprehensive review. Dent J (Basel). (2022) 10:7. doi: 10.3390/dj10010007

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Håversen L, Ohlsson BG, Hahn-Zoric M, Hanson LA, Mattsby-Baltzer I. Lactoferrin down-regulates the lps-induced cytokine production in monocytic cells via Nf-Kappa B. Cell Immunol. (2002) 220:83–95. doi: 10.1016/s0008-8749(03)00006-6

CrossRef Full Text | Google Scholar

14. Scannapieco FA, Torres G, Levine MJ. Salivary alpha-amylase: role in dental plaque and caries formation. Crit Rev Oral Biol Med. (1993) 4:301–7. doi: 10.1177/10454411930040030701

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Bishop NC, Gleeson M. Acute and chronic effects of exercise on markers of mucosal immunity. Front Biosci (Landmark Ed). (2009) 14:4444–56. doi: 10.2741/3540

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Cantó E, Roca E, Perea L, Rodrigo-Troyano A, Suarez-Cuartin G, Giner J, et al. Salivary immunity and lower respiratory tract infections in non-elite marathon runners. PLoS One. (2018) 13:e0206059. doi: 10.1371/journal.pone.0206059

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Gillum TL, Kuennen M, Gourley C, Schneider S, Dokladny K, Moseley P. Salivary antimicrobial protein response to prolonged running. Biol Sport. (2013) 30:3–8. doi: 10.5604/20831862.1029814

PubMed Abstract | CrossRef Full Text | Google Scholar

18. He CS, Tsai ML, Ko MH, Chang CK, Fang SH. Relationships among salivary immunoglobulin a, lactoferrin and cortisol in basketball players during a basketball season. Eur J Appl Physiol. (2010) 110:989–95. doi: 10.1007/s00421-010-1574-8

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Wunsch K, Wurst R, von Dawans B, Strahler J, Kasten N, Fuchs R. Habitual and acute exercise effects on salivary biomarkers in response to psychosocial stress. Psychoneuroendocrinology. (2019) 106:216–25. doi: 10.1016/j.psyneuen.2019.03.015

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Walsh NP, Blannin AK, Clark AM, Cook L, Robson PJ, Gleeson M. The effects of high-intensity intermittent exercise on saliva IgA, total protein and alpha-amylase. J Sports Sci. (1999) 17:129–34. doi: 10.1080/026404199366226

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Chicharro JL, Lucía A, Pérez M, Vaquero AF, Ureña R. Saliva composition and exercise. Sports Med. (1998) 26:17–27. doi: 10.2165/00007256-199826010-00002

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Fortes MB, Diment BC, Di Felice U, Walsh NP. Dehydration decreases saliva antimicrobial proteins important for mucosal immunity. Appl Physiol Nutr Metab. (2012) 37:850–9. doi: 10.1139/h2012-054

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Walsh NP, Laing SJ, Oliver SJ, Montague JC, Walters R, Bilzon JL. Saliva parameters as potential indices of hydration status during acute dehydration. Med Sci Sports Exerc. (2004) 36:1535–42. doi: 10.1249/01.mss.0000139797.26760.06

PubMed Abstract | CrossRef Full Text | Google Scholar

24. McKenna Z, Berkemeier Q, Gorini F, Kuennen M, Naylor A, Kleint A, et al. Effects of exercise in hot and humid conditions and bovine colostrum on salivary immune markers. J Therm Biol. (2020) 93:102717. doi: 10.1016/j.jtherbio.2020.102717

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Gill SK, Teixeira AM, Rosado F, Cox M, Costa RJ. High-dose probiotic supplementation containing Lactobacillus casei for 7 days does not enhance salivary antimicrobial protein responses to exertional heat stress compared with placebo. Int J Sport Nutr Exerc Metab. (2016) 26:150–60. doi: 10.1123/ijsnem.2015-0171

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Rodak K, Kokot I, Kratz EM. Caffeine as a factor influencing the functioning of the human body-friend or foe? Nutrients. (2021) 13:3088. doi: 10.3390/nu13093088

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Pires FO, Dos Anjos CAS, Covolan RJM, Fontes EB, Noakes TD, St Clair Gibson A, et al. Caffeine and placebo improved maximal exercise performance despite unchanged motor cortex activation and greater prefrontal cortex deoxygenation. Front Physiol. (2018) 9:1144. doi: 10.3389/fphys.2018.01144

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Guest NS, VanDusseldorp TA, Nelson MT, Grgic J, Schoenfeld BJ, Jenkins NDM, et al. International society of sports nutrition position stand: caffeine and exercise performance. J Int Soc Sports Nutr. (2021) 18:1. doi: 10.1186/s12970-020-00383-4

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Laurent C, Eddarkaoui S, Derisbourg M, Leboucher A, Demeyer D, Carrier S, et al. Beneficial effects of caffeine in a transgenic model of Alzheimer’s disease-like tau pathology. Neurobiol Aging. (2014) 35:2079–90. doi: 10.1016/j.neurobiolaging.2014.03.027

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Kolahdouzan M, Hamadeh MJ. The neuroprotective effects of caffeine in neurodegenerative diseases. CNS Neurosci Ther. (2017) 23:272–90. doi: 10.1111/cns.12684

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Singh S, Singh K, Patel S, Patel DK, Singh C, Nath C, et al. Nicotine and caffeine-mediated modulation in the expression of toxicant responsive genes and vesicular monoamine transporter-2 in 1-Methyl 4-Phenyl-1,2,3,6-tetrahydropyridine-induced Parkinson’s disease phenotype in mouse. Brain Res. (2008) 1207:193–206. doi: 10.1016/j.brainres.2008.02.023

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Bojar D, Scheller L, Hamri GC, Xie M, Fussenegger M. Caffeine-inducible gene switches controlling experimental diabetes. Nat Commun. (2018) 9:2318. doi: 10.1038/s41467-018-04744-1

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Yashin A, Yashin Y, Wang JY, Nemzer B. Antioxidant and antiradical activity of coffee. Antioxidants (Basel). (2013) 2:230–45. doi: 10.3390/antiox2040230

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Horrigan LA, Kelly JP, Connor TJ. Immunomodulatory effects of caffeine: friend or foe? Pharmacol Ther. (2006) 111:877–92. doi: 10.1016/j.pharmthera.2006.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Lin SP, Li CY, Suzuki K, Chang CK, Chou KM, Fang SH. Green tea consumption after intense taekwondo training enhances salivary defense factors and antibacterial capacity. PLoS One. (2014) 9:e87580. doi: 10.1371/journal.pone.0087580

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Klein LC, Whetzel CA, Bennett JM, Ritter FE, Nater UM, Schoelles M. Caffeine administration does not alter salivary α-amylase activity in young male daily caffeine consumers. BMC Res Notes. (2014) 7:30. doi: 10.1186/1756-0500-7-30

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Graham TE, Spriet LL. Metabolic, catecholamine, and exercise performance responses to various doses of caffeine. J Appl Physiol (1985). (1995) 78:867–74. doi: 10.1152/jappl.1995.78.3.867

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Gonçalves LS, Painelli VS, Yamaguchi G, Oliveira LF, Saunders B, da Silva RP, et al. Dispelling the myth that habitual caffeine consumption influences the performance response to acute caffeine supplementation. J Appl Physiol (1985). (2017) 123:213–20. doi: 10.1152/japplphysiol.00260.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. (1982) 14:377–81.

Google Scholar

40. Kunz H, Bishop NC, Spielmann G, Pistillo M, Reed J, Ograjsek T, et al. Fitness level impacts salivary antimicrobial protein responses to a single bout of cycling exercise. Eur J Appl Physiol. (2015) 115:1015–27. doi: 10.1007/s00421-014-3082-8

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Francavilla VC, Vitale F, Ciaccio M, Bongiovanni T, Marotta C, Caldarella R, et al. Use of saliva in alternative to serum sampling to monitor biomarkers modifications in professional soccer players. Front Physiol. (2018) 9:1828. doi: 10.3389/fphys.2018.01828

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Gillum TL, Kuennen MR, Castillo MN, Williams NL, Jordan-Patterson AT. Exercise, but not acute sleep loss, increases salivary antimicrobial protein secretion. J Strength Cond Res. (2015) 29:1359–66. doi: 10.1519/jsc.0000000000000828

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Pyne DB. Regulation of neutrophil function during exercise. Sports Med. (1994) 17:245–58. doi: 10.2165/00007256-199417040-00005

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Gleeson M, Bishop NC, Stensel DJ, Lindley MR, Mastana SS, Nimmo MA. The anti-inflammatory effects of exercise: mechanisms and implications for the prevention and treatment of disease. Nat Rev Immunol. (2011) 11:607–15. doi: 10.1038/nri3041

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Gillum T, Kuennen M, McKenna Z, Castillo M, Jordan-Patterson A, Bohnert C. Exercise increases lactoferrin, but decreases lysozyme in salivary granulocytes. Eur J Appl Physiol. (2017) 117:1047–51. doi: 10.1007/s00421-017-3594-0

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Tsai ML, Chou KM, Chang CK, Fang SH. Changes of mucosal immunity and antioxidation activity in elite male taiwanese taekwondo athletes associated with intensive training and rapid weight Loss. Br J Sports Med. (2011) 45:729–34. doi: 10.1136/bjsm.2009.062497

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Tsai ML, Ko MH, Chang CK, Chou KM, Fang SH. Impact of intense training and rapid weight changes on salivary parameters in elite female taekwondo athletes. Scand J Med Sci Sports. (2011) 21:758–64. doi: 10.1111/j.1600-0838.2010.01099.x

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Li TL, Lin HC, Ko MH, Chang CK, Fang SH. Effects of prolonged intensive training on the resting levels of salivary immunoglobulin a and cortisol in adolescent volleyball players. J Sports Med Phys Fitness. (2012) 52:569–73.

PubMed Abstract | Google Scholar

49. Allgrove JE, Gomes E, Hough J, Gleeson M. Effects of exercise intensity on salivary antimicrobial proteins and markers of stress in active men. J Sports Sci. (2008) 26:653–61. doi: 10.1080/02640410701716790

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Greer F, Friars D, Graham TE. Comparison of caffeine and theophylline ingestion: exercise metabolism and endurance. J Appl Physiol (1985). (2000) 89:1837–44. doi: 10.1152/jappl.2000.89.5.1837

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Laurent D, Schneider KE, Prusaczyk WK, Franklin C, Vogel SM, Krssak M, et al. Effects of caffeine on muscle glycogen utilization and the neuroendocrine axis during exercise. J Clin Endocrinol Metab. (2000) 85:2170–5. doi: 10.1210/jcem.85.6.6655

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Rohleder N, Nater UM. Determinants of salivary alpha-amylase in humans and methodological considerations. Psychoneuroendocrinology. (2009) 34:469–85. doi: 10.1016/j.psyneuen.2008.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Gill SK, Teixeira AM, Rama L, Rosado F, Hankey J, Scheer V, et al. Salivary antimicrobial protein responses during multistage ultramarathon competition conducted in hot environmental conditions. Appl Physiol Nutr Metab. (2013) 38:977–87. doi: 10.1139/apnm-2013-0005

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Li TL, Gleeson M. The effect of single and repeated bouts of prolonged cycling and circadian variation on saliva flow rate, immunoglobulin a and alpha-amylase responses. J Sports Sci. (2004) 22:1015–24. doi: 10.1080/02640410410001716733

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Yasuda N, Yamamoto K, Iwashita N. Concurrent evaluation of salivary and urinary α-amylase activity following prolonged exercise with or without carbohydrate solution in aerobically active men. Neuro Endocrinol Lett. (2021) 42:265–76.

Google Scholar

56. Grzesiak-Gasek I, Kaczmarek U. Influence of swimming training session on selected saliva components in youth swimmers. Front Physiol. (2022) 13:869903. doi: 10.3389/fphys.2022.869903

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Bishop NC, Walker GJ, Scanlon GA, Richards S, Rogers E. Salivary IgA responses to prolonged intensive exercise following caffeine ingestion. Med Sci Sports Exerc. (2006) 38:513–9. doi: 10.1249/01.mss.0000187412.47477.ee

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Al Reef T, Ghanem E. Caffeine: well-known as psychotropic substance, but little as immunomodulator. Immunobiology. (2018) 223:818–25. doi: 10.1016/j.imbio.2018.08.011

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Proctor GB, Carpenter GH. Regulation of salivary gland function by autonomic nerves. Auton Neurosci. (2007) 133:3–18. doi: 10.1016/j.autneu.2006.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Gill SK, Teixeira AM, Rosado F, Hankey J, Wright A, Marczak S, et al. The impact of a 24-h ultra-marathon on salivary antimicrobial protein responses. Int J Sports Med. (2014) 35:966–71. doi: 10.1055/s-0033-1358479

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Melo AA, Bastos-Silva VJ, Moura FA, Bini RR, Lima-Silva AE, de Araujo GG. Caffeine mouth rinse enhances performance, fatigue tolerance and reduces muscle activity during moderate-intensity cycling. Biol Sport. (2021) 38:517–23. doi: 10.5114/biolsport.2021.100147

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Ganio MS, Johnson EC, Lopez RM, Stearns RL, Emmanuel H, Anderson JM, et al. Caffeine lowers muscle pain during exercise in hot but not cool environments. Physiol Behav. (2011) 102:429–35. doi: 10.1016/j.physbeh.2010.12.005

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Killen LG, Green JM, O’Neal EK, McIntosh JR, Hornsby J, Coates TE. Effects of caffeine on session ratings of perceived exertion. Eur J Appl Physiol. (2013) 113:721–7. doi: 10.1007/s00421-012-2480-z

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Birnbaum LJ, Herbst JD. Physiologic effects of caffeine on cross-country runners. J Strength Cond Res. (2004) 18:463–5. doi: 10.1519/1533-42872004182.0.Co;2

CrossRef Full Text | Google Scholar

65. Stadheim HK, Stensrud T, Brage S, Jensen J. Caffeine increases exercise performance, maximal oxygen uptake, and oxygen deficit in elite male endurance athletes. Med Sci Sports Exerc. (2021) 53:2264–73. doi: 10.1249/mss.0000000000002704

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Glaister M, Williams BH, Muniz-Pumares D, Balsalobre-Fernández C, Foley P. The effects of caffeine supplementation on physiological responses to submaximal exercise in endurance-trained men. PLoS One. (2016) 11:e0161375. doi: 10.1371/journal.pone.0161375

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Yu J, Lim JH, Seo SW, Lee D, Hong J, Kim J, et al. Effects of caffeine intake on cardiopulmonary variables and Qt interval after a moderate-intensity aerobic exercise in healthy adults: a randomized controlled trial. Biomed Res Int. (2022) 2022:3170947. doi: 10.1155/2022/3170947

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Nakamura D, Tanabe Y, Arimitsu T, Hasegawa H, Takahashi H. Low caffeine dose improves intermittent sprint performance in hot and humid environments. J Therm Biol. (2020) 93:102698. doi: 10.1016/j.jtherbio.2020.102698

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Fujii N, Fujimoto T, Yinhang C, Dobashi K, Matsutake R, Amano T, et al. Caffeine exacerbates hyperventilation and reductions in cerebral blood flow in physically fit men exercising in the heat. Med Sci Sports Exerc. (2021) 53:845–52. doi: 10.1249/mss.0000000000002537

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: caffeine, salivary antimicrobial proteins, acute exercise, heat, salivary α-amylase, salivary lactoferrin

Citation: Cheng L, Wang H and Han Y (2022) Effects of caffeinated beverage ingestion on salivary antimicrobial proteins responses to acute exercise in the heat. Front. Nutr. 9:973003. doi: 10.3389/fnut.2022.973003

Received: 19 June 2022; Accepted: 21 October 2022;
Published: 15 November 2022.

Edited by:

Vitor De Salles Painelli, Paulista University, Brazil

Reviewed by:

Emerson Cruz de Oliveira, Federal University of Ouro Preto, Brazil
Geovana Leite, University of São Paulo, Brazil

Copyright © 2022 Cheng, Wang and Han. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yanbai Han, yanbaih0806@gxnu.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.