Classically, endurance training programs in non-athletes are aiming to promote health and prevent life style related diseases (Pedersen and Saltin, 2015). Such training programs need much time, but this does not necessarily mean that spending hours performing exercise will intensify the gains, when in fact the opposite may happen. As known for resistance exercise working until clear fatigue gives higher adaptation compared to sub-maximal number of repetitions. Similarly, Lyakh et al. (2015) discusses that a significant decrease in total training volume allows to focus on qualitative aspects of a training process.

A significantly reduced training volume increases the ability to recover more quickly, although the stimulus for the muscles may be even highly intense. HIIE is characterized by repeated bouts of short-duration (30–60 s) exercises performed at high to severe intensity (i.e., ≥90% of VO_2max) interspersed by short periods of passive or active recovery (Zwetsloot et al., 2014). This method is considered a time-efficient way to improve health outcomes. Furthermore, Cockcroft et al. (2015) showed that a single bout of HIIE (8 × 1-min at 90% of the peak power, interspersed by 1.25 min recovery at 20 W) is an effective alternative to moderate intensity exercise to improve glucose tolerance, insulin sensitivity, and fat oxidation immediately after exercise. Studies have shown that high intensity intermittent exercise (HIIE) alone or combined with strength exercise promoted changes in metabolic and inflammatory responses (Meckel et al., 2009, 2011; Zwetsloot et al., 2014; Cabral-Santos et al., 2015; Lira et al., 2015; Wadley et al., 2016). To induce specific acute physiological responses an optimal ratio of intensity and duration of high intensity intervals and recovery as well as the resulting mean workload have to be optimized aiming for specific training adaptations (Tschakert and Hofmann, 2013).

Brain derived neurotrophic factor (BDNF), a neurotrophin family member who is involved in neuroprotection and neurogenesis, has several actions on cell functions, including energy metabolism, promoting glucose uptake via mitochondrial biogenesis, contributing to cellular homeostasis, particularly in the central nervous system (CNS; Marosi and Mattson, 2014). Saucedo Marquez et al. (2015) demonstrated that only one HIIE session was able to increase BDNF levels immediately after exercise performing a protocol with intervals of 1 min at 90% of maximal work load, altering with 1 min active rest (low load) during 20 min but a duration effect was not investigated.

Additionally, Monocyte Chemo-attractant Protein-1 (MCP-1) is related to inflammatory mediators and is a necessary component of the inflammatory response required for adipose tissue protection (Cranford et al., 2015). Combining exercise and dietary intake restriction is likely to prevent an influx of macrophages by reducing the number of fat cells (Ko and Kim, 2013; Ahn and Kim, 2014). Maharaj et al. (2016) observed a significant elevation across time in plasma MCP-1 and IL-6 after aerobic exercise (30-min bout performed at 75%VO_2max), suggesting that exercise could mediate an innate immune response related to monocyte recruitment and inflammatory mediators.

Besides health benefits, acute exercise enhances interleukin 6 (IL-6) concentration by increasing its production in skeletal muscle, that acts in the regulation of muscle energetic status (Pedersen and Febbraio, 2009). Additionally, IL-6 promotes enhancements in anti-inflammatory cytokines, such as interleukin 10 (IL-10), related to prevent the exacerbation of the pro-inflammatory milieu, blocking a possible persistent inflammatory status, and reduces tumor necrosis factor alpha (TNF-α; Pedersen and Febbraio, 2009; Rosa Neto et al., 2011; Lira et al., 2012). Recently we compared the inflammatory response of HIIE (1:1 at 100% at sVO_2peak) and moderate-intensity continuous exercise (70% of sVO_2peak) with matched volume (5 km), and showed that both exercise protocols promoted an anti-inflammatory response, by augmenting IL-10 and the IL-10/TNF-α ratio (Cabral-Santos et al., 2015). This effects can be utilized as strategies for different populations, such as in patients suffering from obesity, diabetes, or dyslipidemia. From a practical point of view it is interesting to establish the optimal duration of such a HIIE to be sufficient to augment an anti-inflammatory response. Thus, the present study aimed to determine whether the same exercise intensity and mode (HIIE) but different duration and degree of fatigue (1.25- and 2.5-km) may induce similar anti-inflammatory (IL-6, IL-10, MCP-1) and metabolic (lactate and glycemic) responses in young men.

Table 1 presents the subjects characteristics and mean values of both protocols of this study.

The total food intake from last dinner and breakfast (at least 3 h before the test), expressed in kcal, were not significantly different between both conditions (HIIE1.25: 980 ± 288 kcal vs. HIIE2.5: 1048 ± 198 kcal; p = 0.731) and the macronutrient distribution such as carbohydrates (HIIE1.25 = 124 ± 54 vs. HIIE2.5 = 101 ± 51 grams, p = 0.417), protein (HIIE1.25 = 54 ± 35 vs. HIIE2.5 = 60 ± 22 grams, p = 0.813), and lipids (HIIE1.25 = 29 ± 13 vs. HIIE2.5 = 41 ± 16 grams, p = 0.190).

The concentration of glucose, lactate, IL-6, IL-10, BDNF, and MCP-1 at rest, immediately, and 60 min after the exercise, are presented in Table 2 and Figure 1. The variables analyzed were similar at baseline. Both HIIE exercises increased lactate and IL-6 concentration immediately after the exercise, while only the HIIE2.5 elevated IL-10 (p = 0.023). Compared with at rest, glucose remained elevated 60 min after the HIIE1.25 (p = 0.007), and IL-6 after the HIIE2.5 (p = 0.019).

Table 3 shows the differences between the HIIE1.25 and HIIE2.5 for glucose, IL-10, IL-6, lactate, BDNF, and MCP-1, as well as, differences between time points (rest, immediately and 60 min) for glucose, IL-10, IL-6, lactate, BDNF, and MCP-1 too. The variables IL-6 and IL-10, showed interaction between the group (HIIE1.25 vs. 2.5) and the time (rest, immediately and 60 min).

Recently, a study by Wadley et al. (2016) suggest that the magnitude of increase in cytokines in response to exercise is dependent on exercise intensity. In our study we questioned whether there is a threshold like level of HIIE intensity vs. time combination required to observe such effect. The main finding of the present study suggests that the increase in plasma concentrations of IL-10 occurs in a duration-dependent manner, as that same intensity in the task but twice the duration gave differences in the response profile. HIIE2.5 maintained temporal differences that induced higher IL-10 levels (indicated by the highest peak in the phase immediately following exercise) when compared to HIIE1.25, which only presented a trend for an increase. However, after 60-min, the IL-10 levels had returned to baseline values in both protocols.

High-intensity intermittent training has been shown to be effective for improving body composition parameters, physical fitness, and lipid profile (Martins et al., 2016). Acute studies have proposed that HIIE increases glucose tolerance and insulin sensitivity (Cockcroft et al., 2015). This response to HIIE is due to a closed integration between the different body systems, especially the metabolic and immune systems. Recently, BDNF, more known for its neuro-regenerative function, has also been related to metabolism, with energy challenges leading to increased concentrations (Marosi and Mattson, 2014). In the present study, both protocols led to energy stress, demonstrated by lactate which increased in both HIIE1.25 and HIIE2.5 immediately after exercise if standardized to basal values justifying, at least, the BDNF behavior immediately and 60 min after exercise (Table 2). These results are according to studies by Griffin et al. (2011) and Saucedo Marquez et al. (2015). However, there was no difference between HIIE1.25 and HIIE2.5 in BDNF response, even though the duration of HIIE was set differently in both protocols. Ferris et al. (2007) demonstrated that BDNF increase was higher with higher exercise intensity, independent of the duration of exercise execution (HIIE1.25: 10.8 ± 0.81 min vs. HIIE2.5: 21.15 ± 1.62 min). In fact, HIIE has a higher “stressing nature” than continuous aerobic exercise because of its anaerobic components which are suggested to lead to cerebral hypoxia that can be a trigger to augment BDNF release by the brain itself (Rasmussen et al., 2009) as BDNF is related to cell survival and neuro-protection. On the other hand, BDNF levels decreased after 60 min, possibly because BDNF was taken up by muscle tissue to support lipid metabolism (Rasmussen et al., 2009).

Regarding metabolic response, lactate has been proposed as an important glycolytically produced metabolite that is most likely released because of increased or accelerated anaerobic glycolysis and stress response (Garcia-Alvarez et al., 2014). All participants demonstrated an increase in lactate concentration during the exercise session in both conditions. When the rate of glucose metabolism exceeds the oxidative capacity of the mitochondria (Dienel, 2013), lactate assists as a critical buffer, allowing glycolysis to rapidly produce significant amounts of energy. The higher variation in glucose after the HIIE1.25 compared to the HIIE2.5 may indicate that shorter HIIE stimulated glyconeogenesis (through an increase in catecholamines); however, as the exercise was very short, this glucose was probably not used during the exercise (Lira et al., 2015). On the other hand, the clearance of lactate during the recovery period was not measured, limiting a comparison between lactate levels after both HIIEs.

Recently, we verified that 5 km HIIE augments the anti-inflammatory status (Cabral-Santos et al., 2015). However, no study has verified whether even lower HIIE duration elicits the same anti-inflammatory response. This result could be important for training prescription, especially since the rationale for HIIE is its time-efficiency.

Studies generally adopt different HIIE protocols to evaluate anti-inflammatory effects. Lira et al. (2015) submitted athletes to 4 sessions of the Wingate test at 100% of VO_2peak and observed an increase in IL-10 levels, inducing beneficial alterations in the resting inflammatory profile. Dorneles et al. (2016) demonstrated that 10 × 60 s at 85–90% of maximal aerobic power, separated by 75-s at 50% of maximal aerobic power (which gives a mean workload of 65.6–67.8% of P_max), was able to induce a progressive elevation of IL-6 and IL-10 levels immediately and 30-min post exercise in both lean and overweight-obese subjects. These results suggest an important implication of this exercise in the control of chronic low-grade inflammation in obesity. Furthermore, Wadley et al. (2016) compared untrained males who undertook three exercise bouts: HIIE (10 × 1-min at 90% VO_2max) and two energy-matched steady-state cycling bouts at a moderate (60% VO_2max, 27 min) and high (80% VO_2max, 20 min) intensity, and showed that IL-6 and IL-10 increased after 30 min in both HIIE and high intensity steady-state cycling, demonstrating similar inflammatory and oxidative stress responses. Taken together, these studies showed that the acute anti-inflammatory response in HIIE seems to be intensity-dependent (Cabral-Santos et al., 2015; Dorneles et al., 2016). However, our results contradict, at the least, this perspective showing that also the duration of an exercise bout may be an important variable.

As can be seen in Table 3, the delta (measure of difference in final concentrations compared with the basal; Δ) in IL-6 changes from rest to immediately after exercise was higher for HIIE2.5 than HIIE1.25, demonstrating that IL-6 level increases may be dependent on exercise duation. Additionally, IL-10 was shown to be related to the volume of HIIE, as this variable tended to be higher in HIIE2.5 than HIIE1.25 (p < 0.059) between rest and immediately after exercise, although at immediately and 60 min post exercise a negative delta to HIIE2.5 and a positive delta to HIIE1.25 was found showing that IL-10 was still increasing (p < 0.012).

IL-6 is an important mediator involved in the regulation of the acute-phase response to injury and infection (Heinrich et al., 2003). In muscle cells, contraction leads to the activation of the mitogen-activated protein kinase (MAPK) and Janus kinase (JAK)-signal transducers and activators of transcription (STAT) cascade phosphorylation (Wunderlich et al., 2013), ending with IL-6 transcription in skeletal muscle. It is important to note that the IL-6 produced and secreted by skeletal muscle has beneficial effects on metabolism, since this response exerts effects on GLUT4 translocation in the muscle that increases glycogen synthesis, insulin sensitivity in central, and peripheral organs and enhances lipid oxidation in the skeletal muscle (Al-Khalili et al., 2006; Pal et al., 2014; Cron et al., 2016), in order to provide fuel to supply the skeletal muscle during activity.

Nieman et al. (2015) showed that prolonged and intense running on a treadmill at 70% VO_2max until exhaustion increased muscle mRNA expression, muscle protein content, and plasma levels for IL-6, IL-8, and MCP-1, and in addition post-run muscle glycogen concentrations were negatively correlated with changes in muscle IL-6 protein content. Concurring with these data, the present study demonstrated a volume dependent increase in IL-6 levels.

Additionally, IL-6 modulates anti-inflammatory processes, as this cytokine is able to increase the production of anti-inflammatory cytokines such as IL-10 and IL-1ra (Petersen and Pedersen, 2005). IL-10 is important in the anti-inflammatory response and promotes the preservation of IkB, thereby causing inhibition of nuclear transcription factor kappa B (NF-kB), the main transcription factor of TNF-α (Petersen and Pedersen, 2005)—a cytokine with a pro-inflammatory character that acts on the regulation of insulin sensitivity and also induces lipolysis. Recently, Cabral-Santos et al. (2015) showed markedly increased IL-6 and IL-10 levels after HIIE (1:1-min at vVO_2max, 5 km run) in trained subjects, suggesting an important role of HIIE in blocking a possible persistent inflammatory milieu.

Our data did not show changes in the concentrations of MCP-1. Further studies are needed to better understand the mechanisms involved and the effects of different exercise modalities, intensities and volumes.

Beside the effects of different HIIE volumes on anti-inflammatory status, highlighting its potential as a feasible form of exercise prescription for coaches who want to avoid overtraining or overreaching status, low volume HIIE can be performed, since no modifications in inflammatory parameters were found after the low volume HIIE in our study. Nevertheless, other studies are warranted to verify the chronic effects of low volume HIIE on other parameters to confirm its utility. However, as shown by Wallner et al. (2013) even high intensity intervals at vVO_2max may lead to rather low lactate responses in case the overall mean load is low and the duration of the strenuous interval bouts is short showing the need for further studies systematically varying the variables of interval exercise.

In conclusion, this study provides preliminary evidence to suggest that HIIE may be an effective intervention strategy for promoting elevations in BDNF concentrations and in the inflammatory response of IL-6, thus both protocols were rated equally. Furthermore, the volume of HIIE seems to influence the time-response of IL-10 levels of plasma, once in the lowest volume the response of IL-10 was sustained. Both protocols are suggested to lead to improvements in the anti-inflammatory status although the maximal/optimal number of repetitions (duration) as well as the impact of them mean exercise intensity is not clear at the moment.

Substantial contributions to the conception or design of the work—CCS, CIMC, and RM. Analysis and interpretation of data for the work—PM and FL. Drafting the work or revising it critically for important intellectual content—DI, PH. Final approval of the version to be published—FL. All authors agree to be accountable for the content of the work.

This work was supported by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, Brazil) under Grant n° 2013/25310-2.