Skip to main content
Download PDF

The effects of hypoxia on muscle deoxygenation and recruitment in the flexor digitorum superficialis during submaximal intermittent handgrip exercise

BMC Sports Science, Medicine and Rehabilitation volume 12, Article number: 16 (2020) Cite this article

Abstract

Background

Decreased oxygenation of muscle may be accentuated during exercise at high altitude. Monitoring the oxygen saturation of muscle (SmO2) during hand grip exercise using near infrared spectroscopy during acute exposure to hypoxia could provide a model for a test of muscle performance without the competing cardiovascular stresses that occur during a cycle ergometer or treadmill test. The purpose of this study was to examine and compare acute exposure to normobaric hypoxia versus normoxia on deoxygenation and recruitment of the flexor digitorum superficialis (FDS) during submaximal intermittent handgrip exercise (HGE) in healthy adults.

Methods

Twenty subjects (11 M/9 F) performed HGE at 50% of maximum voluntary contraction, with a duty cycle of 2 s:1 s until task failure on two occasions one week apart, randomly assigned to normobaric hypoxia (FiO2 = 12%) or normoxia (FiO2 = 21%). Near-infrared spectroscopy monitored SmO2, oxygenated (O2Hb), deoxygenated (HHb), and total hemoglobin (tHb) over the FDS. Surface electromyography derived root mean square and mean power frequency of the FDS.

Results

Hypoxic compared to normoxic HGE induced a lower FDS SmO2 (63.8 ± 2.2 vs. 69.0 ± 1.5, p = 0.001) and both protocols decreased FDS SmO2 from baseline to task failure. FDS mean power frequency was lower during hypoxic compared to normoxic HGE (64.0 ± 1.4 vs. 68.2 ± 2.0 Hz, p = 0.04) and both decreased mean power frequency from the first contractions to task failure (p = 0.000). Under both hypoxia and normoxia, HHb, tHb and root mean square increased from baseline to task failure whereas O2Hb decreased and then increased during HGE. Arterial oxygen saturation via pulse oximetry (SpO2) was lower during hypoxia compared to normoxia conditions (p = 0.000) and heart rate and diastolic blood pressure only demonstrated small increases. Task durations and the tension-time index of HGE did not differ between normoxic and hypoxic trials.

Conclusion

Hypoxic compared to normoxic HGE decreased SmO2 and induced lower mean power frequency in the FDS, during repetitive hand grip exercise however did not result in differences in task durations or tension-time indices. The fiber type composition of FDS, and high duty cycle and intensity may have contributed greater dependence on anaerobiosis.

Peer Review reports

Introduction

Optimal oxygen delivery and utilization by skeletal muscle is essential to maximize muscle performance and exercise capacity. It is well established that poor delivery of oxygen to muscles greatly compromises performance and exercise capacity [1, 2]. Previous studies have demonstrated that acute exposure to hypoxia impairs muscle endurance and performance in large muscle groups [3, 4]. Similarly, the effects of hypoxia on smaller muscle groups has also been associated with reduced muscular endurance and performance, albeit to a lesser degree [5]. High-intensity intermittent static contractions of adductor pollicis muscle resulted in reduced endurance times during hypobaric hypoxia compared with normoxia [5,6,7]. A review by Perrey & Rupp outlined that acute hypoxic exposure when compared to normoxic conditions leads to a decline in muscular endurance time when protocols employed submaximal intermittent isometric contractions [8]. On the other hand, acute hypoxia exposure on maximal voluntary force generating capacity of small muscle groups appears to have minimal to no reduction in force production and the rate of decline of force compared to normoxic conditions [6, 9].

Near-infrared spectroscopy (NIRS) can estimate muscle oxygenation during exercise via continuous-wave emissions of near-infrared at approximately 760 nm and 850 nm, which is absorbed by deoxygenated (HHb) and oxygenated hemoglobin (O2Hb), respectively. The change in concentration of these chromophores can be estimated from the modified Beer-Lambert law, which compensates for light scattering during emission through tissues [10]. Using spatially resolved NIRS, the saturation of muscle oxygenation (SmO2) can be quantified [11]. NIRS has been shown to be reliable [12], and valid to measure muscle oxygenation at rest [13] and during exercise [14, 15]. Its wireless, non-invasive application provides an unobtrusive tool for measuring muscle oxygenation to further explore the range of deoxygenation to improve muscle function while minimizing adverse effects.

Muscle oxygenation and deoxygenation profiles in small muscle groups such as the forearm and finger flexors is of particular relevance to the climbing population, where finger and grip strength is of upmost importance. Previous studies in climbers examining muscle oxygenation in small muscle groups during continuous and intermittent isometric testing protocols have shown a greater level of muscle deoxygenation and faster rates of reoxygenation in elite climbers compared to controls [16,17,18]. When examining muscle oxygenation profiles in small muscle groups during acute exposure to hypoxia, variable responses have been noted [19,20,21]. A study by Hicks et al., demonstrated that muscle oxygenation of forearm muscles during a 30% isometric MVC did not differ between hypoxia (FiO2 = 14%) and normoxia [19]. In contrast, Hansen et al. found that hypoxia (FiO2 = 10%) decreased O2Hb in the flexor digitorum profundus during intermittent handgrip exercise at 5% of MVC, with a 50% duty cycle for a total of 5 min [22]. The variable effect of hypoxia on muscle oxygenation profiles may in part be due to the type of contraction used (intermittent or sustained isometric). In addition, other factors such as the duty cycle, intensity, and muscle could influence outcomes.

Few studies to date have investigated the effects of acute exposure to hypoxia on forearm muscle oxygenation and muscle performance during higher duty cycles of submaximal intermittent isometric exercise to task failure. Moreover, concurrent muscle oxygenation and activation are not often reported in the forearm muscles during exercise under hypoxic compared to normoxic conditions. Focusing on upper body musculature, in particular forearm flexors, is of relevance considering their significant contribution to grip strength [23], which is required for many daily tasks [24] and is also relevant to athletes involved in sports with repetitive gripping, such as for bouldering, rock climbing [25] and martial arts [26]. Additionally, investigating a small muscle group allows for examination of the effects of acute exposure to hypoxia without the competing cardiovascular stresses that occur during a cycle ergometer or treadmill test. Utilizing sEMG and NIRS simultaneously allows non-invasive evaluation of muscle recruitment complemented by muscle oxygenation, which can provide important insight into both the activation and metabolic state of the working muscle that might limit exercise.

Therefore, the purpose of this study was to characterize the effects of normobaric hypoxia during submaximal intermittent handgrip exercise (HGE) (50% MVC, work to rest ratio of 2 s:1 s) to task failure on muscle deoxygenation and motor unit recruitment of flexor digitorum superficialis (FDS) in healthy subjects. We hypothesized that FDS SmO2 and O2Hb would decrease more so during hypoxic compared to normoxic HGE. Secondly, we postulated that there would be increased FDS motor unit recruitment and decreased firing rate (via sEMG) under hypoxic compared to normoxic HGE.

Methods

Participants and screening

Twenty-four participants were screened from the general community at the University of Toronto. Inclusion criteria were: healthy men and women, aged 18–40 years, non-smokers and sufficient fluency in English to understand instructions and provide informed consent. Participants were excluded if they: had adipose tissue thickness > 10 mm over target muscle for NIRS monitoring, were elite athletes (participated at university, provincial, or national level competition in the past year), were anemic, had unresolved upper extremity injury or condition on their dominant side, or had forced expiratory volume in 1 s (FEV1) and/or forced vital capacity (FVC) percent predicted values < 80%. Of the 24 participants screened, two did not meet the inclusion criteria; one was identified as a university athlete and the other had an FEV1 lower than 80% percent predicted. All experimental procedures and protocols were approved by the University of Toronto clinical research ethics board (Protocol ID 32301).

Experimental design

This study was a randomized, double-blind, repeated measures design. Figure 1 depicts an overview of the experimental protocol. Verbal and written explanation of the study was provided and written informed consent was obtained from participants. All participants were screened for physical readiness to engage in exercise using the American Heart Association and American College of Sports Medicine Pre-Participation Screening Questionnaire [27]. Participants refrained from exercising on trial days, and abstained from caffeine and alcohol consumption 12 and 24 h prior to the trial. FEV1 and FVC were measured with a spirometer (COPD-64000, Vitalograph, Ennis, Ireland) according to ATS/ERS standards [28]. Adipose thickness over FDS and tibialis anterior (TA) were determined using ultrasound (GE LOGIQ e portable USI), to rule out participants with adipose tissue thickness > 10 mm over target muscles [29]. As the fourth digit contributes to 25 to 28% of total power grip force [23, 30], the FDS muscle belly of the fourth digit on the dominant arm was landmarked by resisted fourth digit flexion [30]. The control muscle, TA, was landmarked by determining one-third the distance between the fibular head and medial malleolus and confirmed by palpation with active dorsiflexion in sitting.

Fig. 1
figure 1

Experimental protocol. ECG electrocardiogram, EMG electromyography, FDS flexor digitorum superficialis, MVC maximal voluntary contraction. NIRS near-infrared spectroscopy, TA tibialis anterior

Full size image

Participants performed two HGE trials one week apart, while they were blinded to normoxic and normobaric hypoxic conditions that were randomly ordered. Investigators acquiring and analyzing NIRS and EMG outcomes were also blinded to the gas condition. Participants inspired either a mixture of medical grade gas corrected by nitrogen to a fraction of inspired oxygen (FiO2) of 12% (PiO2 ~ 11.5 kPa) for the normobaric hypoxic condition, or 21% (PiO2 ~ 20.0 kPa) for the normoxic condition. Participants wore nose plugs and breathed through a flanged mouthpiece connected to a 2-way Hans-Rudolph valve with the expiratory port to room air. The inspiratory port was attached via large bore tubing to a 150 L non-rebreathing bag filled with the normobaric hypoxic or normoxic gas mixture. Participants inspired the gas for a ten-minute wash-in period prior to the HGE protocol, to allow equilibrium of the gas concentrations between the lungs and inspired gas mixture. The partial pressure of end-tidal CO2 (PETCO2) (ML206, ADInstruments), breathing frequency, and tidal volume were monitored throughout the trial duration (PowerLab, ADInstruments; Colorado Springs, CO). Heart rate was monitored using 3-lead electrocardiogram, while SpO2 was measured using an oximeter (8000AA, Nonin, Plymouth, MN). Blood pressure was measured before and after each trial (Blood Pressure Monitor 106–964, AMG Physiologic, West Chazy, NY). Rating of perceived exertion for dyspnea and forearm fatigue was obtained using a 10-point Borg scale before wash-in and immediately after task failure for both trials.

Prior to commencement of the first trial, MVC of handgrip force for the participants dominant hand was determined using the grip force transducer (MLT004/ST, ADInstruments, Colorado Springs, CO). Participants completed three MVCs, with a two minute separation between contractions. The highest force produced was recorded as the MVC, and 50% MVC ± 5% was calculated. Unit markers were added on the computer monitor through the LabChart software to indicate a target range of 45 to 55% of MVC for participants to use for visual feedback. Prior to wash-in and before each trial, five practice contractions were completed. Temporal synchronization between the PowerLab data acquisition unit and Oxysoft software (Oxysoft 3.0.95, Artinis Medical Systems, Elst, Netherlands) for NIRS data was achieved using a bluetooth synchronization device (Portasync, Artinis Medical Systems). Participants were required to grip the transducer with a force equal to 50% MVC ± 5% and a work to rest ratio of 2:1, equating to a two second grip contraction period and a one second rest period. A pre-recorded audio message guided the participant through the protocol; no additional verbal encouragement was provided throughout the trial. Participants performed the protocol until task failure, as indicated by the inability to reach target % MVC for three consecutive contractions [31]. Tension-time index in Newton-minutes, a measure of force-time product, was calculated as the integral of all contractions using the LabChart software.

Near-infrared spectroscopy

Levels of SmO2 (%) and changes of O2Hb, HHb, tHb (μM) of FDS and TA were monitored using NIRS during HGE from baseline (last minute of wash-in period) until task failure while breathing hypoxic or normoxic gas. NIRS optodes of the PortaLite mini and PortaLite (Artinis Medical Systems, Elst BV, Netherlands) were placed over the dominant FDS and TA, respectively. The PortaLite mini and PortaLite devices contain three light sources and one receiver with interoptode distances of 16, 21, and 26 mm and 30, 35, and 40 mm, respectively. The differential pathlength factors (DPF) was set at 4 and data was acquired at 10 Hz. The change in NIRS variables was determined as the difference between the baseline values during the last 5 s compared to the mean of the last three contractions immediately before task failure. O2Hb, HHb, and tHb were derived from the optode pair (emitter-receiver) that showed the greatest changes.

Electromyography

Surface electromyography was used to determine the electrophysiological response of FDS to hypoxic and normoxic conditions during a HGE. The skin over the FDS was shaved and swabbed with alcohol prior to electrode placement. Gel electrodes (Kendall Medi-Trac Mini 130, King Medical, London, ON, Canada) were placed distal to the NIRS optodes and in line with the muscle fibers of FDS. A ground electrode was placed over the C7 spinous process. Appropriate electrode placement was confirmed by gripping the grip force transducer (MLT004/ST, ADInstruments, Colorado Springs, CO), and obtaining an adequate signal from the PowerLab data acquisition unit (ADInstruments, Colorado Springs, CO) as determined by analyzing the signal using LabChart 8 data analysis software (ADInstruments, Colorado Springs, CO). A band-pass filter was applied to the raw sEMG signal with a high-pass of 400 Hz and a low-pass of 20 Hz and data was acquired at 2000 Hz. The root mean square measured in mV and mean power frequency measured in Hz was calculated using the LabChart software to isolate 1 s segments of sEMG signal from one of the first three contractions and one of the final three contractions during the HGE.

Data analysis

Statistical analyses were performed using Statistical Package for Social Sciences (version 24.0, SPSS Inc., Chicago, IL). Paired sample t-tests were used to compare tension-time index (a measure of total workload, N∙min) and task duration between normoxic and hypoxic HGE. To analyze the changes in NIRS measurements, the total task duration of the handgrip protocol was divided into five quintiles (0–20, 20–40, 40–60, 60–80, 80–100%). Changes in O2Hb, HHb and tHb from baseline to each quintile of the handgrip task duration were determined. NIRS and sEMG values were tested for normality using the Shapiro-Wilk test. Two-way repeated measures ANOVAs were used to detect differences in the effect of gas mixture and trial duration (at each quintile from baseline to task failure) on SmO2, ΔO2Hb, ΔHHb and ΔtHb in the FDS and TA, and to detect changes in root mean square, mean power frequency and cardiorespiratory parameters (blood pressure, minute ventilation, PETCO2, SpO2) from baseline to task failure. Data was tested for sphericity with Mauchly’s test and if necessary was corrected using the Greenhouse-Geisser method. If ANOVA showed a significant effect, the Bonferroni post-hoc test was performed to determine significant pairwise comparisons. The relationship between SmO2 and SpO2 was investigated using a Pearson correlation. A P value of < 0.05 was considered statistically significant. Data are reported as means ± standard deviation (SD) unless otherwise stated.

Results

Twenty of 22 healthy participants completed the protocol; one was unable to reliably perform repetitive HGE to a 50% MVC target, and one participant’s NIRS values contained a high degree of artifact. Thus, 11 men and 9 women, with a mean age of 25 ± 3 years, and normal spirometry values (Table 1) performed the HGE protocol to completion under both hypoxic and normoxic conditions.

Table 1 Anthropometric and spirometry data of participants
Full size table

Hypoxic HGE resulted in a lower FDS SmO2 compared to normoxic HGE overall (63.8 ± 2.2 vs. 69.0 ± 1.5, p = 0.001) and at each quintile of duration, except 20% (Fig. 2). FDS O2Hb decreased from baseline to 40th percentile of task duration (p = 0.008) followed by an increase in FDS O2Hb from 40th percentile of task duration to task failure (p = 0.001) during hypoxic and normoxic HGE. Compared to baseline, FDS HHb increased at 60th percentiles of duration to task failure (p < 0.011). FDS tHb increased over time for both conditions with significant differences at task failure compared to baseline (p = 0.000). SmO2, O2Hb and tHb in the control muscle, TA, did not differ between gases or throughout the duration of the HGE. The only differences found in the control muscle was a small overall decrease in TA HHb during hypoxia compared to normoxia (p = 0.049). The root mean square values for FDS increased from the first contractions to task failure under both hypoxia and normoxia (p = 0.000) (Fig. 3). FDS mean power frequency decreased (p = 0.000) from the first contractions to task failure, and was lower during hypoxia compared to normoxia (63.99 ± 1.41 vs. 68.21 ± 1.99, p = 0.04) (Fig. 3).

Fig. 2
figure 2

Muscle saturation of oxygen (SmO2) and changes in oxy- (ΔO2Hb), deoxy- (ΔHHb) and total hemoglobin (ΔtHb) during each quintile of hand grip exercise (HGE) from baseline until task failure (100%) in the flexor digitorum superficialis under hypoxic and normoxic conditions. Values are presented as mean ± SEM. Open markers indicate significant differences from baseline, asterisks denote significant differences from task failure, † indicates significant difference between hypoxic and normoxic conditions (p < 0.05)

Full size image
Fig. 3
figure 3

Root mean square and mean power frequency at the start of the trial and task failure during hand grip exercise (HGE) in the flexor digitorum superficialis. Trial start and task failure represent 1 s segments of sEMG signal from one of the first three contractions and one of the final three contractions during the HGE, respectively. Values are presented as mean ± SEM. Open markers indicate significant differences from trial start, dashed line indicates significant differences between gases (p < 0.05)

Full size image

Task duration and tension-time index did not differ between gases (Table 2). SmO2 and SpO2 were not correlated when the data set of one outlier (values two standard deviations greater than the mean) was excluded (r = − 0.01) (Fig. 4).

Table 2 Effects of normoxia and hypoxia on performance, ventilatory and cardiac parameters from intermittent handgrip exercise
Full size table
Fig. 4
figure 4

Correlation between muscle saturation of oxygen (SmO2) and arterial saturation of oxygen measured by pulse oximetry (SpO2) (r = − 0.01, not significant). Points represent SmO2 and SpO2 values collected over the 6 time-points of the hand grip exercise trial for each subject during hypoxia

Full size image

Heart rate was higher in the hypoxic condition compared to normoxia at task failure and increased compared to baseline (p = 0.000) (Table 2). The minute ventilation at task failure was higher under hypoxia compared to normoxia (p = 0.033) and higher compared to baseline (p = 0.001) (Table 2). No differences were detected in PETCO2 or systolic blood pressure across trials or between gases. However, diastolic blood pressure was higher at task failure compared to baseline for both normoxic and hypoxic HGE (p = 0.000) (Table 2). Similarly, rating of perceived exertion for dyspnea and forearm fatigue did not differ between normoxic and hypoxic HGE but were higher at task failure compared to baseline (p = 0.000) (Table 2).

Discussion

This study investigated the effects of normobaric hypoxia compared to normoxia on FDS muscle oxygenation and recruitment during a high duty:cycle intermittent HGE to task failure in healthy adults. Intermittent HGE during normobaric hypoxia compared to normoxia caused a greater decrease in FDS SmO2 and it remained lower throughout the duration of the hypoxic HGE to task failure. With respect to sEMG, a lower mean power frequency was demonstrated during hypoxic compared to normoxic HGE. However, despite the lower SmO2 and lower mean power frequency, no differences in the other NIRS variables (ΔO2Hb, ΔHHb, ΔTHb), task duration, tension-time index, or perceived exertion were shown between normoxic and hypoxic HGE trials. During both hypoxic and normoxic HGE, FDS O2Hb initially decreased from baseline to 40% of task duration, and then later increased from 40% to task failure. Conversely, HHb and tHb increased from baseline to task failure under both normoxia and hypoxia albeit the increase in tHb lagged behind changes in O2Hb and HHb being only significant during the last quintile of duration to task failure.

The SmO2 was lower throughout the hypoxic compared to the normoxic HGE and progressively decreased throughout both HGE trials. No studies to date have demonstrated decreases in SmO2 in the FDS during acute hypoxic HGE. However, a decrease in SmO2 with exercise is consistent with what has previously been shown in respiratory muscles during incremental inspiratory threshold loading and in larger muscle groups during incremental cycle ergometry and during isometric knee extension exercises [20, 32, 33]. The greater overall lowering of SmO2 during hypoxia in this study may be attributed to a longer wash-in period of 10 min, compared to five minutes, and a lower FiO2 of 12% compared to previous studies utilizing hypoxia with FiO2 of 15–16% [32, 33]. In this study, FDS HHb and tHb did not differ between normoxic and hypoxic trials, similar to that previously shown [20, 33]. However, as expected, both HHb and tHb increased progressively throughout the duration of exercise. A previous report utilizing HGE have demonstrated similar increases in tHb [34] and HHb [34] in the FDS. The increase in HHb is likely attributed to an increase in motor unit recruitment, as evidenced by sEMG root mean square. Additionally, increases in HHb are believed to reflect greater O2 extraction [35], which is expected to increase with task duration in order to meet the oxygen demands of the working muscle.

The hypoxic HGE resulted in a lower mean power frequency than normoxic HGE; however, both normoxic and hypoxic protocols increased root mean square and decreased mean power frequency in FDS at task failure compared to baseline values. The increase in root mean square and decrease in mean power frequency is consistent with previous work that investigated the neuromuscular response to fatiguing exercise [36]. Increased root mean square is indicative of greater motor unit recruitment required to produce the same desired amount of force when approaching task failure, related to increases in central drive [37, 38]. The decrease in mean power frequency indicates more synchronous firing of motor units, which has been shown to occur during fatigue [39]. Decreased firing rate of the working motor units is related to inhibitory afferents that are sensitive to changes in muscle metabolic state, which decreases central drive [36] and conduction velocity [40] when approaching task failure. Hypoxic compared to normoxic exercise has been shown to induce greater firing of type III/IV afferents in working muscle, which inhibit α motor neurons and depress central drive to diminish the production of fatigue-related metabolites [41]. However, during fatiguing exercise under moderate hypoxia (SaO2~82%), fatigue related metabolites have the largest influence on type III/IV muscle afferent activation, and by extension the greatest effect on central drive [41]. The combined effects of hypoxia and fatigue metabolites support the findings of a decreased mean power frequency in the hypoxic condition compared to the normoxic condition.

With regard to FDS O2Hb, this study found that it initially decreased to the mid-point of HGE duration followed by an increase to task failure although FDS O2Hb never returned to baseline under the hypoxic condition. This pattern of an increase midway through the exercise trial is contrary to previous studies that have shown progressive decreases in O2Hb throughout trial durations of exercise [20, 42, 43]. To date, only one study similarly demonstrated a decrease with a subsequent increase in O2Hb in the gastrocnemius during a heel-raising exercise regime [44]. The initial decrease in O2Hb could be attributed to greater oxygen utilization than delivery during the beginning stages of the HGE task [35] whereas with increased HGE duration, a rise towards baseline in O2Hb could be due to the progressive increase in heart rate and local exercise induced vasodilation. The progressive elevated heart rate subsequently increased perfusion and oxygen delivery, at least in part, compensated for the increased O2 extraction. Of no surprise, there was no correlation between SmO2 and SpO2, indicating that changes in SpO2 are not reflective of changes in muscle oxygenation as has been previously shown [45, 46].

No difference was found in task duration or tension-time index between hypoxic versus normoxic HGE trials. Previous literature using intermittent isometric exercise has shown an decreased endurance time under hypoxic conditions in small muscle groups compared with normoxic conditions [5, 6]. The current experimental protocol was likely unable to detect differences in task duration between the hypoxic and normoxic trials due to the relatively high workload and duty cycle utilized (50% MVC and 2 s contraction: 1 s relaxation). This intensity and duration of the HGE protocol may have predominantly challenged anaerobic glycolytic versus aerobic pathways. Performances of high intensity exercise can activate anaerobic glycolytic pathways for up to three minutes [47], a length of time similar to task duration in this study. This dependence on anaerbiosis may have been facilitated by the relatively high proportion of type II fibres in the FDS (41%) [48], which is much higher that the 20% reported in the adductor pollicis [49]. The exercise protocols in previous reports likely had greater involvement of aerobic pathways based on the fiber type proportion of the adductor pollicis [49], work to rest ratios (5 s on, 5 s off), and longer task durations [8, 9, 18]. The finding of no difference in task duration under hypoxia in this study is more consistent with studies using sustained isometric exercise. In such experimental protocols the higher intensity and sustained task resulted in muscles fatiguing faster [9, 20, 50], which was reflected in shorter task durations within anaerobic glycolytic thresholds.

The usage of NIRS and EMG together as demonstrated in this study is a promising non-invasive tool for simultaneously evaluating skeletal muscle oxygenation and muscle activation, together providing a more comprehensive evaluation of muscle performance. This has particular relevance in athletic populations and sports setting. It is well established that strength and endurance performance of forearm muscles is an important characteristic of climbers [51]. Previous studies have examined the impact of diverse exercise protocols on muscle oxygenation profiles in rock and ice climbers and furthermore have looked at differences across a range of athletic abilities [16,17,18, 50]. Further investigation into how muscle activation and oxygenation profiles change in response to acute hypoxic stress may aid in further characterizing and identifying the physiological differences, adaptations and limitations that occur in athletes of varying backgrounds—from healthy controls to elite athletes.

While NIRS is a reliable, non-invasive tool for the examination of muscle oxygenation, there are limitations with respect to the utilization of this device. First, NIRS is unable to differentiate between chromophores of Hb and myoglobin due to similar light absorption properties, thus values are reflective of changes in both. Additionally, NIRS optodes were placed on a single point on the FDS, and thus may not be entirely representative of other regions of the working muscle, especially in those with a larger FDS. Finally, this study examined healthy young participants, which should be taken into consideration when relating findings from this study to older or diseased populations.

Conclusions

In conclusion, this study demonstrated that acute exposure to normobaric hypoxia results in a greater decline in SmO2 and a greater level of muscle fatigue as evidenced by decreased mean power frequency of the FDS during a high duty cycle intermittent HGE to task failure. Although mean power frequency was lower during hypoxia compared to the normoxic condition, this did not result in a shorter duration, lower tension-time index to task failure or greater changes in ΔO2Hb, ΔHHb, ΔtHb. Taken together, a lower SmO2 during hypoxia at rest did not accentuate the rate of decline by HGE compared to the normoxic HGE. In addition, similar ΔHHb occurred during both gas conditions of the HGE indicative of similar oxygenation utilization. Thus, hypoxia affected the resting SmO2 but did not accentuate any further changes during exercise compared to normoxic HGE. Overall, the utilization of NIRS and sEMG simultaneously can provide a better understanding of both the degree of muscle activation and changes in metabolic activity and thus provide a more holistic understanding of physiological changes occurring in the working muscle.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available due proprietary software but are available from the corresponding author on reasonable request.

Abbreviations

FDS:

Flexor digitorum superficialis

FiO2 :

Inspired fractional concentration of oxygen

HGE:

Submaximal intermittent handgrip exercise

HHb:

Deoxygenated hemoglobin

O2Hb:

Oxygenated hemoglobin

sEMG:

Surface electromyography

SmO2 :

Oxygen saturation of muscle

SpO2 :

Arterial oxygen saturation via pulse oximetry

tHb:

Total hemoglobin

References

  1. Bassett D, Howley ET. Limiting factors for maximum oxygen uptake and determinants of endurance performance. Med Sci Sports Exerc. 2000;32:70–84.

    PubMed  Google Scholar 

  2. Taivassalo T, Jensen TD, Kennaway N, DiMauro S, Vissing J, Haller RG. The spectrum of exercise tolerance in mitochondrial myopathies: a study of 40 patients. Brain. 2003;126:413–23.

    PubMed  Google Scholar 

  3. Fulco CS, Lewis SF, Frykman PN, Boushel R, Smith S, Harman EA, Cymerman A, Pandolf KB. Muscle fatigue and exhaustion during dynamic leg exercise in normoxia and hypobaric hypoxia. J Appl Physiol. 1996;81:1891–900.

    CAS  PubMed  Google Scholar 

  4. Katayama K, Amann M, Pegelow DF, Jacques AJ, Dempsey JA. Effect of arterial oxygenation on quadriceps fatigability during isolated muscle exercise. Am J Physiol Regul Integr Comp Physiol. 2007;292:R1279–86.

    CAS  PubMed  Google Scholar 

  5. Fulco CS, Rock PB, Muza SR, Lammi E, Braun B, Cymerman A, Moore LG, Lewis SF. Gender alters impact of hypobaric hypoxia on adductor pollicis muscle performance. J Appl Physiol. 2001;91:100–8.

    CAS  PubMed  Google Scholar 

  6. Fulco CS, Cymerman A, Muza SR, Rock PB, Pandolf KB, Lewis SF. Adductor pollicis muscle fatigue during acute and chronic altitude exposure and return to sea level. J Appl Physiol. 1994;77:179–83.

    CAS  PubMed  Google Scholar 

  7. Badier M, Guillot C, Lagier-Tessonnier F, Jammes Y. EMG changes in respiratory and skeletal muscles during isometric contraction under normoxic, hypoxemic, or ischemic conditions. Muscle Nerve. 1994;17:500–8.

    CAS  PubMed  Google Scholar 

  8. Perrey S, Rupp T. Altitude-induced changes in muscle contractile properties. High Alt Med Biol. 2009;10:175–82.

    CAS  PubMed  Google Scholar 

  9. Szubski C, Burtscher M, Loscher WN. Neuromuscular fatigue during sustained contractions performed in short-term hypoxia. Med Sci Sports Exerc. 2007;39:948–54.

    PubMed  Google Scholar 

  10. Delpy DT, Cope M, van der Zee P, Arridge S, Wray S, Wyatt J. Estimation of optical pathlength through tissue from direct time of flight measurement. Phys Med Biol. 1988;33:1433–42.

    CAS  PubMed  Google Scholar 

  11. Binzoni T, Cooper CE, Wittekind AL, Beneke R, Elwell CE, Van De Ville D, Leung TS. A new method to measure local oxygen consumption in human skeletal muscle during dynamic exercise using near-infrared spectroscopy. Physiol Meas. 2010;31:1257–69.

    PubMed  Google Scholar 

  12. Celie B, Boone J, Van Coster R, Bourgois J. Reliability of near infrared spectroscopy (NIRS) for measuring forearm oxygenation during incremental handgrip exercise. Eur J Appl Physiol. 2012;112:2369–74.

    CAS  PubMed  Google Scholar 

  13. Mancini DM, Bolinger L, Li H, Kendrick K, Chance B, Wilson JR. Validation of near-infrared spectroscopy in humans. J Appl Physiol (1985). 1994;77:2740–7.

    CAS  Google Scholar 

  14. Sako T, Hamaoka T, Higuchi H, Kurosawa Y, Katsumura T. Validity of NIR spectroscopy for quantitatively measuring muscle oxidative metabolic rate in exercise. J Appl Physiol (1985). 2001;90:338–44.

    CAS  Google Scholar 

  15. Wariar R, Gaffke JN, Haller RG, Bertocci LA. A modular NIRS system for clinical measurement of impaired skeletal muscle oxygenation. J Appl Physiol (1985). 2000;88:315–25.

    CAS  Google Scholar 

  16. Freyer S, Stoner L, Scarrott C, Lucerno A, Witter T, Love R, Dickson T, Draper N. Forearm oxygenation and blood flow kinetics duriang a sustained contraction in multiple ability groups of rock climbers. J Sports Sci. 2015;33:518–26.

    Google Scholar 

  17. Freyer S, Stoner L, Stone K, Giles D, Sveen J, Garrido I, Espna-Romero V. Forearm muscle oxidative capacity index predicts sport rock-climbing performance. Eur J Appl Physiol. 2016;116:1479–84.

    Google Scholar 

  18. Phillippe M, Wegst D, Muller T, Raschner C, Burtscher M. Climbing-specific finger flexor performance and forearm muscle oxygenation in elite male and female sport climbers. Eur J Appl Physiol. 2012;112:2839–3847.

    Google Scholar 

  19. Hicks A, McGill S, Hughson RL. Tissue oxygenation by near-infrared spectroscopy and muscle blood flow during isometric contractions of the forearm. Can J Appl Physiol. 1999;24:216–30.

    CAS  PubMed  Google Scholar 

  20. Katayama K, Yoshitake Y, Watanabe K, Akima H, Ishida K. Muscle deoxygenation during sustained and intermittent isometric exercise in hypoxia. Med Sci Sports Exerc. 2010;42:1269–78.

    CAS  PubMed  Google Scholar 

  21. Subudhi AW, Dimmen AC, Roach RC. Effects of acute hypoxia on cerebral and muscle oxygenation during incremental exercise. J Appl Physiol (1985). 2007;103:177–83.

    CAS  Google Scholar 

  22. Hansen J, Sander M, Hald CF, Victor RG, Thomas GD. Metabolic modulation of sympathetic vasoconstriction in human skeletal muscle: role of tissue hypoxia. J Physiol. 2000;527:387–96.

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Ohtsuki T. Inhibition of individual fingers during grip strength exertion. Ergonomics. 1981;24:21–36.

    CAS  PubMed  Google Scholar 

  24. Frederiksen H, Gaist D, Petersen HC, Hielmborg J, McGue M, Vaupel JW, Christensen K. Hand grip strength: a phenotype suitable for identifying genetic variants affecting mid- and late-life physical functioning. Genet Epidemiol. 2002;23:110–22.

    PubMed  Google Scholar 

  25. Watts PB. Physiology of difficult rock climbing. Eur J Appl Physiol. 2004;91:361–72.

    PubMed  Google Scholar 

  26. Iermakov S, Podrigalo LV, Jagiełło W. Hand-grip strength as an indicator for predicting the success in martial arts athletes. Arch Budo. 2016;12:179–86.

    Google Scholar 

  27. American College of Sports Medicine, Thompson WR, Gordon NF, Pescatello LS. ACSM's guidelines for exercise testing and prescription, 8th edn. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins; 2010.

    Google Scholar 

  28. Brusaco V, Craop Brusasco V, Crapo R, Viegi G. Standardisation of spirometry. Eur Respir J. 2005;26:319–38.

    Google Scholar 

  29. van Beekvelt MC, Borghuis MS, van Engelen BG, Wevers RA, Colier WN. Adipose tissue thickness affects in vivo quantitative near-IR spectroscopy in human skeletal muscle. Clin Sci (Lond). 2001;101:21–8.

    Google Scholar 

  30. Blackwell JR, Kornatz KW, Heath EM. Effect of grip span on maximal grip force and fatigue of flexor digitorum superficialis. Appl Ergon. 1999;30:401–5.

    CAS  PubMed  Google Scholar 

  31. Gonzales JU, Scheuermann BW. Absence of gender differences in the fatigability of the forearm muscles during intermittent isometric handgrip exercise. J Sports Sci Med. 2007;6:98–105.

    PubMed  PubMed Central  Google Scholar 

  32. Basoudan N, Shadgan B, Guenette JA, Road J, Reid WD. Effect of acute hypoxia on inspiratory muscle oxygenation during incremental inspiratory loading in healthy adults. Eur J Appl Physiol. 2016;116:841–50.

    CAS  PubMed  Google Scholar 

  33. Bowen TS, Koga S, Amano T, Kondo N, Rossiter HB. The spatial distribution of absolute skeletal muscle deoxygenation during ramp-incremental exercise is not influenced by hypoxia. Adv Exp Med Biol. 2016;876:19–26.

    CAS  PubMed  Google Scholar 

  34. van Beekvelt MC, van Engelen BG, Wevers RA, Colier WN. In vivo quantitative near-infrared spectroscopy in skeletal muscle during incremental isometric handgrip exercise. Clin Physiol Funct Imaging. 2002;22:210–7.

    PubMed  Google Scholar 

  35. Wang L, Yoshikawa T, Hara T, Nakao H, Suzuki T, Fujimoto S. Which common NIRS variable reflects muscle estimated lactate threshold most closely? Appl Physiol Nutr Metab. 2006;31:612–20.

    CAS  PubMed  Google Scholar 

  36. Krogh-Lund C, Jorgensen K. Myo-electric fatigue manifestations revisited: power spectrum, conduction velocity, and amplitude of human elbow flexor muscles during isolated and repetitive endurance contractions at 30% maximal voluntary contraction. Eur J Appl Physiol Occup Physiol. 1993;66:161–73.

    CAS  PubMed  Google Scholar 

  37. Fuglevand AJ, Winter DA, Patla AE. Models of recruitment and rate coding organization in motor-unit pools. J Neurophysiol. 1993;70:2470–88.

    CAS  PubMed  Google Scholar 

  38. McManus L, Hu X, Rymer WZ, Lowery MM, Suresh NL. Changes in motor unit behavior following isometric fatigue of the first dorsal interosseous muscle. J Neurophysiol. 2015;113:3186–96.

    PubMed  PubMed Central  Google Scholar 

  39. Holtermann A, Gronlund C, Karlsson JS, Roeleveld K. Motor unit synchronization during fatigue: described with a novel sEMG method based on large motor unit samples. J Electromyogr Kinesiol. 2009;19:232–41.

    CAS  PubMed  Google Scholar 

  40. Masuda K, Masuda T, Sadoyama T, Inaki M, Katsuta S. Changes in surface EMG parameters during static and dynamic fatiguing contractions. J Electromyogr Kinesiol. 1999;9:39–46.

    CAS  PubMed  Google Scholar 

  41. Amann M, Kayser B. Nervous system function during exercise in hypoxia. High Alt Med Biol. 2009;10:149–64.

    PubMed  Google Scholar 

  42. Miller RR, Reid WD, Mattman A, Yamabayashi C, Steiner T, Parker S, Gardy J, Tang P, Patrick DM. Submaximal exercise testing with near-infrared spectroscopy in Myalgic encephalomyelitis/chronic fatigue syndrome patients compared to healthy controls: a case-control study. J Transl Med. 2015;13:159.

    PubMed  PubMed Central  Google Scholar 

  43. Shadgan B, Reid WD, Gharakhanlou R, Stothers L, Macnab AJ. Wireless near-infrared spectroscopy of skeletal muscle oxygenation and hemodynamics during exercise and ischemia. Spectrosc. 2009;23:233–41.

    CAS  Google Scholar 

  44. Robbins D, Elwell C, Jimenez A, Goss-Sampson M. Localised muscle tissue oxygenation during dynamic exercise with whole body vibration. J Sports Sci Med. 2012;11:346–51.

    PubMed  PubMed Central  Google Scholar 

  45. Mendelson Y. Pulse oximetry: theory and applications for noninvasive monitoring. Clin Chem. 1992;38:1601–7.

    CAS  PubMed  Google Scholar 

  46. McCully KK, Hamaoka T. Near-infrared spectroscopy: what can it tell us about oxygen saturation in skeletal muscle? Exerc Sport Sci Rev. 2000;28:123–7.

    CAS  PubMed  Google Scholar 

  47. McArdle W, Katch F, Katch V. Exercise physiology: nutrition, energy and human performance. Philadelphia: Lippincott Williams & Wilkins; 2010. p. 1038.

    Google Scholar 

  48. Hwang K, Huan F, Kim DJ. Muscle fibre types of the lumbrical, interossei, flexor, and extensor muscles moving the index finger. J Plast Surg Hand Surg. 2013;47(4):268–72. https://doi.org/10.3109/2000656X.2012.755988 Epub 2013 May 22.

    Article  PubMed  Google Scholar 

  49. Round JM, Jones DA, Chapman SJ, et al. The anatomy and fibre type composition of the human adductor pollicis in relation to its contractile properties. J Neurol Sci. 1984;66:263–92.

    CAS  PubMed  Google Scholar 

  50. Bendahan D, Badier M, Jammes Y, Confort-Gouny S, Salvan AM, Guillot C, Cozzone PJ. Metabolic and myoelectrical effects of acute hypoxaemia during isometric contraction of forearm muscles in humans: a combined 31P-magnetic resonance spectroscopy-surface electromyogram (MRS-SEMG) study. Clin.Sci.(Lond). 1998;94:279–86.

    CAS  Google Scholar 

  51. Usaj A, Jereb B, Robi P, von Duvillard SP. The influence of strength-endurance training on the oxygenation of isometrically contracted forearm muscles. Eur J Appl Physiol. 2007;100:685–92.

    PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank the study volunteers for their participation.

Funding

This study was funded in part by the Ontario Physiotherapy Association Central Toronto District Student Research Grant.

Author information

Authors and Affiliations

  1. Department of Physical Therapy, University of Toronto, 160-500 University Avenue, Toronto, ON, M5G 1V7, Canada

    Hayley J. Nell, Laura M. Castelli, Dino Bertani, Aaron A. Jipson, Sean F. Meagher, Luana T. Melo, Karl Zabjek & W. Darlene Reid

  2. KITE, Toronto Rehab-University Health Network, 550 University Ave, Toronto, ON, M5G 2A2, Canada

    Karl Zabjek & W. Darlene Reid

  3. Interdepartmental Division of Critical Care Medicine, University of Toronto, Li Ka Shing Knowledge Institute, 209 Victoria Street, 4th Floor, Room 411, Toronto, ON, M5B 1T8, Canada

    W. Darlene Reid

Authors
  1. Hayley J. Nell
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Laura M. Castelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dino Bertani
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Aaron A. Jipson
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Sean F. Meagher
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Luana T. Melo
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Karl Zabjek
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. W. Darlene Reid
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

WDR and KZ conceived and designed the experiment; HJN, LMC, AAJ, DB and SFM performed experiments and prepared data for analysis; LMC, HJN, and AAJ analyzed data; LMC, HJN, AAJ, DB, SFM, KZ and WDR interpreted results of experiments; HJN prepared Figures; HJN, LMC, WDR drafted manuscript; LMC, HJN, KZ and WDR edited and revised manuscript; HJN, LMC, AAJ, DB, SFM, LTM, KZ and WDR approved final version of manuscript.

Corresponding author

Correspondence to W. Darlene Reid.

Ethics declarations

Ethics approval and consent to participate

All experimental procedures and protocols were approved by the University of Toronto clinical research ethics board. All participants provided written informed consent.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nell, H.J., Castelli, L.M., Bertani, D. et al. The effects of hypoxia on muscle deoxygenation and recruitment in the flexor digitorum superficialis during submaximal intermittent handgrip exercise. BMC Sports Sci Med Rehabil 12, 16 (2020). https://doi.org/10.1186/s13102-020-00163-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13102-020-00163-2

Keywords

BMC Sports Science, Medicine and Rehabilitation

ISSN: 2052-1847

Contact us