Skip to main content

ORIGINAL RESEARCH article

Front. Physiol., 14 March 2023
Sec. Integrative Physiology

The effect of transcutaneous electrical stimulation of the submental area on the cardiorespiratory response in normal and awake subjects

Abdulaziz Alsharifi,,
Abdulaziz Alsharifi1,2,3*Georgios Kaltsakas,Georgios Kaltsakas1,4Martino F. PengoMartino F. Pengo5Gianfranco Parati,Gianfranco Parati5,6Miquel Serna-PascualMiquel Serna-Pascual7Gerrard Rafferty,Gerrard Rafferty1,2Joerg Steier,,Joerg Steier1,2,4
  • 1Centre for Human and Applied Physiological Sciences (CHAPS), Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
  • 2King’s College Hospital NHS Foundation Trust, London, United Kingdom
  • 3Department of Respiratory Therapy, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
  • 4Lane Fox Unit / Sleep Disorders Centre, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
  • 5Department of Cardiology, IRCCS Istituto Auxologico Italiano, Milan, Italy
  • 6Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
  • 7Institute of Pharmaceutical Science, King’s College London, London, United Kingdom

Background: Electrical stimulation has recently been introduced to treat patients with Obstructive sleep apnoea There are, however, few data on the effects of transcutaneous submental electrical stimulation (TES) on the cardiovascular system. We studied the effect of TES on cardiorespiratory variables in healthy volunteers during head-down-tilt (HDT) induced baroreceptor loading.

Method: Cardiorespiratory parameters (blood pressure, heart rate, respiratory rate, tidal volume, airflow/minute ventilation, oxygen saturation, and end-tidal CO2/O2 concentration) were recorded seated, supine, and during head-down-tilt (50) under normoxic, hypercapnic (FiCO2 5%) and poikilocapnic hypoxic (FiO2 12%) conditions. Blood pressure (BP) was measured non-invasively and continuously (Finapres). Gas conditions were applied in random order. All participants were studied twice on different days, once without and once with TES.

Results: We studied 13 healthy subjects (age 29 (12) years, six female, body mass index (BMI) 23.23 (1.6) kg·m−2). A three-way ANOVA indicated that BP decreased significantly with TES (systolic: p = 4.93E-06, diastolic: p = 3.48E-09, mean: p = 3.88E-08). Change in gas condition (systolic: p = 0.0402, diastolic: p = 0.0033, mean: p = 0.0034) and different postures (systolic: 8.49E-08, diastolic: p = 6.91E-04, mean: p = 5.47E-05) similarly impacted on BP control. When tested for interaction, there were no significant associations between the three different factors electrical stimulation, gas condition, or posture, except for an effect on minute ventilation (gas condition/posture p = 0.0369).

Conclusion: Transcutaneous electrical stimulation has a substantial impact on the blood pressure. Similarly, postural changes and variations in inspired gas impact on blood pressure control. Finally, there was an interaction between posture and inspired gases that affects minute ventilation. These observations have implications on our understanding of integrated cardiorespiratory control, and may prove beneficial for patients with SDB who are assessed for treatment with electrical stimulation.

Introduction

Obstructive sleep apnoea (OSA) is a highly prevalent condition that affects about one billion people worldwide (Benjafield et al., 2019). In patients with OSA, intermittent and repeated upper airway collapse during sleep results in irregular breathing at night. Nocturnal apnoeas and hypopnoeas lead to an altered drive to breathe, high work of breathing, oxygen desaturations, and arousals from sleep (Hilton et al., 2001). These effects can cause daytime symptoms, such as sleepiness, and are associated with increased sympathetic tone activation and elevated blood pressure (Remmers et al., 1978). OSA is associated with co-morbidities, including hypertension (Marin et al., 2005; Parati et al., 2014), ischaemic heart disease (Martinez et al., 2012), stroke (Palomäki et al., 1989), congestive heart failure (Bradley et al., 1985), obesity and metabolic syndrome (Levy et al., 2009), and diabetes (Punjabi et al., 2002).

Treatment of OSA includes continuous positive airway pressure (CPAP), and mandibular advancement devices (MAD) (National Institute for Care Excellence, 2021). Primary airway therapies aim to maintain upper airway patency during sleep and lead to a normalisation of the work of breathing and prevention of apnoeas, hypopnoeas, and arousals from sleep that could cause the sympathetic response. Long-term therapy of OSA improves daytime symptoms and, potentially, long-term cardiovascular risks (Somers et al., 2008).

CPAP therapy remains the most common treatment for moderate-to-severe OSA, while for milder cases of OSA, MADs can also be effective (NICE (National Institute for Health and Care Excellence), 2008). However, long-term adherence to CPAP therapy is limited, with only 70% adherence at 3-month (Benjafield et al., 2019b) and further reductions at later follow up (Benjafield et al., 2021). Non-CPAP therapies provide alternatives for patients who have difficulties with long-term compliance to CPAP (Randerath et al., 2021) and may be preferred over conventional treatment (Campbell et al., 2015).

Recently, electrical stimulation invasively applied using hypoglossal nerve stimulation (HNS) (Strollo et al., 2014) or transcutaneous electrical stimulation (TESLA) in the submental area to target the upper airway dilator muscles, particularly the genioglossus muscle, has been developed to treat OSA (Pengo et al., 2016). The randomised controlled trial using HNS (STAR-trial) reported modest improvements in the diastolic blood pressure with no significant changes in systolic blood pressure or heart rate over a 1-year period (Strollo et al., 2014). However, data on the acute cardiorespiratory responses to transcutaneous electrical stimulation of the upper airway dilator muscles, in both health and disease remain sparse (Pengo and Steier, 2015). This is a study to consider the physiological response to the use of electrical stimulation in direct proximity to the carotides, as hypoglossal nerve stimulation (HNS) and transcutaneous electrical stimulation is nowadays being used to treat obstructive sleep apnoea; the purpose of this study was to test the effects of the current has on the cardiorespiratory system in a cohort of normal subject (Strollo et al., 2014).

We hypothesize that acute application of transcutaneous electrical stimulation of the submental area will influence cardiovascular control in healthy, awake subjects. In the current study, we sought to describe the effect of transcutaneous electrical stimulation of the submental area on the cardiorespiratory control, for this particular purpose, we recorded beat-by-beat blood pressure with other cardiopulmonary variables when exposed to room air, hypoxic and hypercapnic gas mixtures (chemosensitivity) while in seated and supine postures, as well as with 50° HDT (baroreceptor response) while using electrical stimulation of the submental area (TES).

Methods and subjects

The study was approved by the local research ethics committee (King’s College London; RESCM-20/21-8487) and performed in accordance with the Declaration of Helsinki. All participants received an information sheet and provided informed and written consent prior to participation.

Subjects

We included healthy, normal- and slightly overweight subjects of both sexes over 16 years of age. All participants were non-smokers and free of cardiorespiratory and other significant acute or chronic illness and had normal blood pressure. Participants visited the respiratory physiology laboratory on two occasions at least 1 week apart, with one visit acting as control without electrical stimulation and the other during which TES was used during in all postures and gas conditions.

Inclusion criteria

Subjects for the study met all the following criteria: age >16 years, body-mass index (BMI) > 18.5 and <30 kg/m2, non-smoker, and clinically stable in the last 28 days.

Exclusion criteria

Subjects were excluded from the study if any of the following conditions were met: history of cardiovascular, respiratory, or neuromuscular disease, cardiac pacemaker, active seizures, current smokers, acute illness, allergy to skin patches, oobesity (BMI>30 kg/m2) or cachexia (BMI<18.5 kg/m2), and vertigo.

Primary and secondary outcomes

The primary outcome of the study was the change in the diastolic blood pressure (BP) with electrical stimulation, affecting baro- and chemoreceptor response. Secondary outcomes were changes in other cardiovascular (systolic/mean BP, heart rate) and respiratory variables (respiratory rate, tidal volume, minute ventilation, modified Borg scale) during electrical stimulation.

Equipment

Following the baseline visit without electrical stimulation the participants were continuously stimulated using electrical current in the submental area (4 × 4 cm dermal patches; Med-Fit Plus Ltd., Stockport, United Kingdom), at a frequency of 30 Hz and a pulse width of 250 microseconds during the second visit. Intensity of the electrical current was titrated according to individual comfort using a TENS machine (Premier Combo Plus, the TENS + Company Lets, Stockport, United Kingdom, placed in the submental area midway between angle of mandible and the chin (Figure 1) as previously described elsewhere (Steier et al., 2011). Continuous, beat-by-beat arterial blood pressure was measured continuously using digital artery photoplethysmography (Finapres, Ohmeda 2,300, BOC Healthcare, Englewood CO, United States of America). Heart rate was measured from the electrocardiogram (ECG) with electrodes positioned in the lead II configuration (ML132 bioamplifier, ADInstruments, Oxford, United Kingdom).

FIGURE 1
www.frontiersin.org

FIGURE 1. Placed in the submental area midway between angle of mandible and the chin as described previously (Steier et al., 2011).

Respiratory flow was measured via a mouthpiece, with the subject wearing a noseclip using a pneumotachograph (4,800 series, Hans Rudolph Inc., Shawnee Kansas, United States of America) and associated differential pressure transducer (Spirometer, ADInstruments, Oxford, United Kingdom). The distal end of the pneumotachograph was attached to a two way non-rebreathing valve (2,700 series, Hans Rudolph Inc., Shawnee, Kansas, United States of America, deadspace 77 ml) with inspired and expired gases measured continuously using a gas analyser (ML, 206, ADInstruments, Oxford, United Kingdom), connected to a side port on the pneumotachograph via a fine-bore catheter. Blood oxygen saturation (SpO2) was measured using a pulse oximeter (Sat 805 pulse oximeter, Charter Kontron, United Kingdom) attached to the subject’s finger. All data were acquired (PowerLab 16, ADInstruments, Oxford, United Kingdom) with 1 Khz sampling and displayed (LabChart ver 8, ADInstruments, Oxford, United Kingdom). Tidal volume was obtained by digital integration of flow by the acquisition software.

An open circuit (Figure 2) was used to deliver a continuous supply of medical air (wall outlet) to the inspiratory port of the two-way non-rebreathing valve via a low volume (2.5 L) reservoir bag. The inspired gas could be enriched with 100% nitrogen or 100% carbon dioxide from cylinders (BOC, Guildford, United Kingdom) to provide the appropriate inspired gas concentration. Three inspired gas mixtures were used; medical air (21% O2, balance N2), poikilokapnic hypoxia (12% O2, balance N2) and normoxic hypercapnia (5% CO2, balance N2). Symptoms of breathlessness were scored using the modified Borg scale in each posture (seated, supine, and 50°HDT).

FIGURE 2
www.frontiersin.org

FIGURE 2. Experimental setup; and the inspiratory gas mixture could be enriched titrated (0%–100%) with 100% nitrogen or 100% carbon dioxide from cylinders (BOC, Guildford, United Kingdom).

An electrically operated tilt table (Plinth2000 Ltd., Stowmarket, United Kingdom) which could be adjusted from 0° (flat) to 50°HDT was used to change posture.

Short protocol

The following parameters were recorded at baseline: Demographic data (date of birth, height, weight, body mass index, ethnicity, and gender), clinical history, and medications. The neck, hips, and waist were measured along with vital signs (heart rate and blood pressure).

Measurements were first recorded in the seated position with the subject exposed to 5 min of each gas mixture, randomly assigned, before moving to the tilt table with measurements commencing in the supine position. Subjects were secured to the tilt table using a foam mattress and a foot strap across the ankles. Participants were familiarized with the 50°HDT procedure prior to the experiment commencing. After an initial period of stabilisation (at least 5 min) in the supine position, a period of 5 min resting breathing was recorded. The table was then tilted to the 50°HDT for 10 min. At the end of the 50°HDT, the subject was returned to the supine position for a further 5 min. Spontaneous ventilation and end-tidal gases (EtO2, EtCO2), and oxygen saturations were recorded throughout. The tilt table procedure was repeated three times with the subject breathing in random order (Figure 3). Participants were blinded to the identity of the gas being administered. For safety, the stop criterion for the hypoxic gas mixture was achieved if the arterial oxygen saturation (SpO2) dropped below 80%. To account for equilibration for change in posture and different gas mixtures, the final 2 min of recording for each posture and each gas mixture were analysed and an average reported for each variable.

FIGURE 3
www.frontiersin.org

FIGURE 3. Schematic representation of study procedures. HDT: Head down Tilt. CO2: hypercapnic gas mixture (5% CO2). O2: hypoxic gas mixture (12% O2). Subjects were breathing room air, hypoxic, or hypercapnic gas mixtures in random order in seated, supine, and HDT (50) position. (off): electrical current off. (on): electrical current on (transcutaneous electrical nerve stimulation). Subjects were studied using each gas mixture for 5 min seated and supine, and for 10 min in HDT.

Data processing

All data were recorded in real-time using LabChart software (Chart V8, ADInstruments, Dunedin, New Zealand) with an analog-to-digital conversion at a sampling of 1 kHz. Data were exported and assigned key time periods for further analysis. Each variable was averaged over the last 2 min in seated, supine, and HDT positions. Respiratory variables (tidal volume (Vt) and respiratory rate (RR)) were extracted and multiplied to calculate minute ventilation (VE). Systolic (SBP), diastolic (DBP), and pulse blood pressure (pBP) was computed as pBP = SBP-DBP, and mean arterial pressure (MAP) was calculated as MAP = 1/3 SBP + 2/3 DBP. Heart Rate was derived from the 3-lead ECG, and SpO2 from the pulse oximeter.

Sample size calculation

Based on the sample size of 13 subjects, the study detected a treatment difference at a two-sided significance level of 0.025 if the true mean difference in diastolic blood pressure (electrical stimulation on vs. off) was at least 8.049 mmHg (SD 10.6) with 80% power. The variable calculated was the minimal detectable difference in mean diastolic blood pressure, based on previous data (Strollo et al., 2014).

Statistical analysis

Following testing for normality, data were presented as mean (SD) unless otherwise indicated. Data were analysed using a three-way analysis of variance (ANOVA)) followed by a Tukey’s test using the ‘anovan’ and ‘multcompare’ function of MATLAB (Version 2022B, MathWorks Ltd, Natick/MA, United States of America) to evaluate overall effects of three factors: a) TES (on/off), b) posture (seated, supine, HDT), and c) inspired gas (RA, hypercapnia, and hypoxia); furthermore, baroreflex and chemoreflex interaction was tested with the combination of these three factors. A level of significance was defined as p < 0.05.

Results

We studied 13 healthy subjects (age 29 (12) years, six female, BMI 23 (1.6) kg/m2, waist: hip (W: H) ratio 0.87 (0.05)) (Supplementary Table S1). Two more volunteers were unable to participate in the second visit and had incomplete datasets recorded for the primary outcome, these were not included in the analysis. Subjects used an electrical current of 8 (2) mA, which had been titrated to a comfortable and tolerable level of skin sensation. There were no adverse events, and no participant required electrical stimulation to be stopped.

Cardiovascular variables

Systolic blood pressure

A marked reduction in systolic blood pressure during electrical stimulation was observed under hypoxic conditions in the HDT posture; there was also a trend towards reduction in other postures. (Table 1).

TABLE 1
www.frontiersin.org

TABLE 1. Systolic blood pressure with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD). HDT, head down tilt. TENS-, electrical current off. TENS + electrical current turned on. 95% CI, 95% confidence interval.

Diastolic and Mean Blood Pressure

A marked reduction in both diastolic and mean arterial blood pressures were also observed during electrical stimulation in supine and HDT postures. There was also a tendency towards a reduction in diastolic blood pressure during electrical stimulation when seated under hypoxic conditions, and during HDT both under hypercapnic and room air conditions. (Tables 2, 3).

TABLE 2
www.frontiersin.org

TABLE 2. Diastolic blood pressure with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD). HDT, head down tilt. TENS-, electrical current off. TENS + electrical current turned on. 95% CI, 95% confidence interval.

TABLE 3
www.frontiersin.org

TABLE 3. Mean blood pressure with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD), HDT: head down tilt. TENS-, electrical current off. TENS + electrical current turned on. 95% CI, 95% confidence interval.

Pulse pressure

There was no significant change to the pulse pressure when applying electrical stimulation, independent of different postures and gas mixtures. (Table 4).

TABLE 4
www.frontiersin.org

TABLE 4. Pulse Pressure with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD). HDT, head down tilt. TENS-, electrical current off. TENS + electrical current turned on. CI, 95% confidence interval.

Heart rate

The heart rate did not significantly change with electrical stimulation, and this observation was independent of posture or gas mixture. (Table 5).

TABLE 5
www.frontiersin.org

TABLE 5. Heart rate with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD). HDT, head down tilt. TENS-, electrical current off. TENS + electrical current turned on. CI, 95% confidence interval.

Respiratory variables

There was no change in the respiratory rate with electrical stimulation in any of the three postures studied. (Table 6).

TABLE 6
www.frontiersin.org

TABLE 6. Respiratory rate with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD), HDT: head down tilt. TENS-, electrical current off. TENS + electrical current turned on. CI, 95% confidence interval.

Tidal volume and minute ventilation

There was a trend towards increased tidal volume in the supine posture under hypercapnic conditions with electrical stimulation, although this did not reach significance. (Table 7) Additionally, there was increased minute ventilation with electrical stimulation (p=0.0443; Table 8;Figure 4; details is provided in Supplementary Table S3).

TABLE 7
www.frontiersin.org

TABLE 7. Tidal volume with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD). HDT, head down tilt. TENS-, electrical current off. TENS + electrical current turned on. CI, 95% confidence interval.

TABLE 8
www.frontiersin.org

TABLE 8. Minute ventilation with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD), HDT: head down tilt. TENS-, electrical current off. TENS + electrical current turned on. CI, 95% confidence interval.

FIGURE 4
www.frontiersin.org

FIGURE 4. Results of 3-way ANOVA of minute ventilation derived from variation of three different factors, (A) TES (electrical stimulation on/off), (B) posture (seated, supine, HDT), and (C) inspired gas (room air, hypoxic and hypercapnic conditions). For further details of group assignments please refer to Supplementary Table S4. There was a significant interaction between factor b and c on minute ventilation. Data shown as median ±25 and 75% percentiles, behind individual data points.

End-tidal carbon dioxide (ETCO2) and oxygen saturation

No changes in EtCO2 during electrical stimulation in seated, supine or HDT posture were observed when breathing room air, under hypoxic or hypercapnic conditions. The SpO2 did not change when comparing electrical stimulation to baseline in any posture or gas condition studied.

Modified borg scale

There was no significant change in the breathlessness scores when applying electrical stimulation, independent of posture and gas mixture. (Supplementary Table S2).

3-Way ANOVA

In a 3-way ANOVA, BP decreased significantly with TES (systolic: p = 4.3E-06, diastolic: p = 3.01E-09, mean: p = 3.26E-08). Change in gas condition (systolic: p = 0.0386, diastolic: p = 0.0032, mean: 3.2E-03) and different postures (systolic: 6.91E-08, diastolic: p = 6.55E-04, mean: p = 4.91E-05) similarly impacted on BP control. There were no significant interactions between the three different factors: electrical stimulation, gas condition, or posture, except for an effect on minute ventilation (gas condition/posture p = 0.0348; Figure 4 for supplemental information on the analysis please refer to Supplementary Table S3).

Discussion

The cardiorespiratory response to submental transcutaneous electrical stimulation, a novel therapeutic approach in OSA, applied during enhanced chemoreceptor (gas conditions) activation and baroreceptor (posture) loading demonstrates marked effects on cardiovascular control, with a modest effect on the respiratory control. Electrical stimulation appears to sensitise the arterial baroreceptor response resulting in decreased diastolic blood pressure, by 19%–25%, under hypoxic conditions (chemoreceptor) supine and with HDT (baroreceptor). The effect of electrical current on the systolic blood pressure was slightly less consistent, albeit a reduction of 16% was observed in HDT position under hypoxic conditions. There were no significant differences in the heart rate or the pulse pressure with electrical current; this was independent of posture or gas mixture used. Respiratory variables did not change significantly with electrical stimulation, except for the minute ventilation.

Significance of findings

A number of pathways are involved in the cardiovascular responses to systemic hypoxia (Marshall, 1994), involving the primary effects of peripheral chemoreceptor stimulation, secondary effects of ventilation, and direct effects of hypoxia on the heart and peripheral vasculature leading to subsequent effects on the autonomic and the central nervous system (Marshall, 1994). The full effects of ventilation, mediated by carbon dioxide and oxygen, on the cardiovascular system remain to be fully elucidated (Heistad et al., 1974). Importantly, there is cardiorespiratory interaction which is mediated via hypoxia and that affects the baroreflex response, as suggested by our observations. It has been described previously that stimulation of the chemoreceptors can lead to an increased heart rate and a change in the blood pressure (cardiovagal baroreflex) in humans (Bristow et al., 1971); (Bristow et al., 1974). This is further supported by recent evidence showing that exposure to hypoxia can alter the arterial baroreflex and change heart rate and sympathetic nerve activity with a higher blood pressure. (Heistad et al., 1974); (Halliwill and Minson, 2002); (Halliwill et al., 2003).

Electrical stimulation targets the upper airway dilator muscles, particularly the genioglossus muscle (GG), and counteracts their diminished neuromuscular state-dependent tone which promotes upper airway collapsibility (Mezzanotte et al., 1996). Both the invasive and transcutaneous approaches to stimulating the upper airway dilator muscles are beneficial for maintaining airway patency during sleep in patients with OSA (Strollo et al., 2014; Pengo et al., 2016) improving the AHI by a mean of 9.1 (95% confidence interval, CI 2.0, 16.2) events/hour and the 4% ODI improved by a mean of 10.0 (95% CI 3.9, 16.0) events/hour (Pengo et al., 2016). Furthermore, the initial feasibility studies used TESLA with a current of 10.1 (3.7) mA (Steier et al., 2011). In the current study, electrical stimulation was well tolerated and had no adverse effects, underlining its safety for the use in the submental area and its efficacy in lowering diastolic blood pressure. In the context of potential long-term treatments for patients with OSA who have a high prevalence of cardiovascular comorbidities it is important to highlight that heart rate did not change significantly. A reduction in the blood pressure, systolic and diastolic, remains a favourable outcome for patients with sleep-disordered breathing, as the cardiovascular risk is typically raised and treatment resistant hypertension is of clinical relevance in this cohort (Antic et al., 2015). There are various interactions between different types of sleep apnoea and cardiovascular variables (e.g., blood pressure). On the one hand, central sleep apnoea is driven by heart failure (Javaheri and Javaheri, 2022). On the other hand, obstructive sleep apnoea leads to an increased sympathetic tone with may impact on the blood pressure contributing to hypertension (Antic et al., 2015); (Pengo et al., 2021); (Pengo et al., 2020).

Limitations of the study

This prospective physiological study had a relatively small sample size and certain interactions could become more significant with a larger sample size, for example the effect of the three factors on minute ventilation. The effects of TES on the primary outcome variable, diastolic blood pressure, were highly consistently observed in all subjects with a large effect size. Longer steady state periods could have had further advantages over quasi-steady state achieved during the 5 min baseline periods used. The choice of this was pragmatic to allow for completion of what was a lengthy protocol and return of the healthy volunteers for a demanding second session. We were also limited with making causal inferences due to the observational nature of the design of the study. Despite a complex experimental setup, some parameters such as neural respiratory drive, blood gases, and perfusion could have provided helpful additional insights into the interaction between the cardiovascular, the respiratory, the peripheral autonomic and the central nervous system but were not measured on this occasion. In addition, this study focused on healthy subjects with normal blood pressure. Thus, further studies in subjects with hypertension and sleep-disordered breathing need to provide a comprehensive dataset on how electrical stimulation affects the chemo- and baroreceptor response in these clinically relevant cohorts. However, these points do not negate the insightful setup of a highly complex physiological experiment in human beings with a large effect size that enables to derive useful information for future clinical applications.

Conclusion

Electrical stimulation of the submental area affects the chemo- and the baroreceptor response in normal healthy volunteers resulting in substantially lower levels of blood pressure. Similarly, inspired gas and posture impact on blood pressure regulation. Furthermore, electrical stimulation might modulate the cardiovascular risk in patients with hypertension and sleep-disordered breathing, a hypothesis that warrants further investigation in the respective clinical cohorts.

Data availability statement

The original contributions presented in the 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 study was approved by the local research ethics committee (King’s College London; RESCM-20/21-8487). The patients/participants provided their written informed consent to participate in this study.

Author contributions

AA, GR, and JS. Performed experiments AA, JS, and GR. Analyzed data. AA, GR, and JS. Interpreted results of experiments. AA. Prepared figures. AA and JS. Drafted manuscript. AA, GR, JS, MS-P, GK and GP. Edited and revised manuscript.

Acknowledgments

We are grateful for the input and support of the participants, as well as Irampaye Akbar, Niamh Carter, Michael Cheng during the physiological studies in the laboratory. Professor Steier’s contributions were partially supported by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, United Kingdom. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.

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/fphys.2023.1089837/full#supplementary-material

References

Antic, N. A., Heeley, E., Anderson, C. S., Luo, Y., Wang, J., Neal, B., et al. (2015). The sleep apnea cardioVascular endpoints (SAVE) trial: Rationale, ethics, design, and progress. Sleep 38 (8), 1247–1257. doi:10.5665/sleep.4902

PubMed Abstract | CrossRef Full Text | Google Scholar

Benjafield, A., Oldstone, L., Willes, L., Kelly, C., Nunez, C., Malhotra, A., et al. (2021). Positive airway pressure therapy adherence with mask resupply: A propensity-matched analysis. J. Clin. Med. 10 (4), 720. doi:10.3390/jcm10040720

PubMed Abstract | CrossRef Full Text | Google Scholar

Benjafield, A. V., Ayas, N. T., Eastwood, P. R., Heinzer, R., Ip, M. S. M., Morrell, M. J., et al. (2019). Estimation of the global prevalence and burden of obstructive sleep apnoea: A literature-based analysis. Lancet Respir. Med. 7 (8), 687–698. [online] 7. doi:10.1016/s2213-2600(19)30198-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Benjafield, A. V., Pepin, J.-L. D., Valentine, K., Cistulli, P. A., Woehrle, H., Nunez, C. M., et al. (2019). Compliance after switching from CPAP to bilevel for patients with non-compliant OSA: Big data analysis. BMJ Open Respir. Res. 6 (1), e000380. doi:10.1136/bmjresp-2018-000380

PubMed Abstract | CrossRef Full Text | Google Scholar

Bradley, T. D., Rutherford, R., Grossman, R. F., Lue, F., Zamel, N., Moldofsky, H., et al. (1985). Role of daytime hypoxemia in the pathogenesis of right heart failure in the obstructive sleep apnea syndrome. Am. Rev. Respir. Dis. 131 (6), 835–839. doi:10.1164/arrd.1985.131.6.835

PubMed Abstract | CrossRef Full Text | Google Scholar

Bristow, J., Brown, E., Cunningham, D., Goode, R., Howson, M., and Sleight, P. (1971). The effects of hypercapnia, hypoxia and ventilation on the baroreflex regulation of the pulse interval. J. physiology 216 (2), 281–302. doi:10.1113/jphysiol.1971.sp009525

PubMed Abstract | CrossRef Full Text | Google Scholar

Bristow, J., Brown, E., Cunningham, D., Howson, M., Lee, M., Pickering, T., et al. (1974). The effects of raising alveolar PCO2 and ventilation separately and together on the sensitivity and setting of the baroreceptor cardiodepressor reflex in man. J. physiology 243 (2), 401–425. doi:10.1113/jphysiol.1974.sp010760

PubMed Abstract | CrossRef Full Text | Google Scholar

Campbell, T., Pengo, M. F., and Steier, J. (2015). Patients' preference of established and emerging treatment options for obstructive sleep apnoea. J. Thorac. Dis. 7 (5), 938–942. doi:10.3978/j.issn.2072-1439.2015.04.53

PubMed Abstract | CrossRef Full Text | Google Scholar

Halliwill, J. R., and Minson, C. T. (2002). Effect of hypoxia on arterial baroreflex control of heart rate and muscle sympathetic nerve activity in humans. J. Appl. Physiology 93 (3), 857–864. doi:10.1152/japplphysiol.01103.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

Halliwill, J. R., Morgan, B. J., and Charkoudian, N. (2003). Peripheral chemoreflex and baroreflex interactions in cardiovascular regulation in humans. J. physiology 552 (1), 295–302. doi:10.1113/jphysiol.2003.050708

PubMed Abstract | CrossRef Full Text | Google Scholar

Heistad, D. D., Abboud, F. M., Mark, A. L., and Schmid, P. G. (1974). Interaction of baroreceptor and chemoreceptor reflexes modulation of the chemoreceptor reflex by changes in baroreceptor activity. J. Clin. Investigation 53 (5), 1226–1236. doi:10.1172/jci107669

PubMed Abstract | CrossRef Full Text | Google Scholar

Hilton, M. F., Chappell, M. J., Bartlett, W. A., Malhotra, A., Beattie, J. M., and Cayton, R. M. (2001). The sleep apnoea/hypopnoea syndrome depresses waking vagal tone independent of sympathetic activation. Eur. Respir. J. 17 (6), 1258–1266. doi:10.1183/09031936.01.00009301

PubMed Abstract | CrossRef Full Text | Google Scholar

Javaheri, S., and Javaheri, S. (2022). Obstructive sleep apnea in heart failure: Current knowledge and future directions. J. Clin. Med. 11 (12), 3458. doi:10.3390/jcm11123458

PubMed Abstract | CrossRef Full Text | Google Scholar

Levy, P., Bonsignore, M., and Eckel, J. (2009). Sleep, sleep-disordered breathing and metabolic consequences. Eur. Respir. J. 34 (1), 243–260. doi:10.1183/09031936.00166808

PubMed Abstract | CrossRef Full Text | Google Scholar

Marin, J. M., Carrizo, S. J., Vicente, E., and Agusti, A. G. (2005). Long-term cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous positive airway pressure: An observational study. Lancet 365 (9464), 1046–1053. doi:10.1016/S0140-6736(05)71141-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Marshall, J. M. (1994). Peripheral chemoreceptors and cardiovascular regulation. Physiol. Rev. 74 (3), 543–594. doi:10.1152/physrev.1994.74.3.543

PubMed Abstract | CrossRef Full Text | Google Scholar

Martinez, D., Klein, C., Rahmeier, L., Da Silva, R. P., Fiori, C. Z., Cassol, C. M., et al. (2012). Sleep apnea is a stronger predictor for coronary heart disease than traditional risk factors. Sleep Breath. 16 (3), 695–701. doi:10.1007/s11325-011-0559-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Mezzanotte, W. S., Tangel, D. J., and White, D. P. (1996). Influence of sleep onset on upper-airway muscle activity in apnea patients versus normal controls. Am. J. Respir. Crit. care Med. 153 (6), 1880–1887. doi:10.1164/ajrccm.153.6.8665050

PubMed Abstract | CrossRef Full Text | Google Scholar

National Institute for Care Excellence (2021). Obstructive sleep apnoea/hypopnoea syndrome and obesity hypoventilation syndrome in over 16s [online]. https://www.nice.org.uk/guidance/ng202.

Google Scholar

NICE (National Institute for Health and Care Excellence) (2008). Technology Appraisal Guidance (TA139). CPAP for OSA costing template and report. www.nice.org.uk/guidance/ta139.

Google Scholar

Palomäki, H., Partinen, M., Juvela, S., and Kaste, M. (1989). Snoring as a risk factor for sleep-related brain infarction. Stroke 20 (10), 1311–1315. doi:10.1161/01.str.20.10.1311

PubMed Abstract | CrossRef Full Text | Google Scholar

Parati, G., Ochoa, J. E., Bilo, G., Mattaliano, P., Salvi, P., Kario, K., et al. (2014). Obstructive sleep apnea syndrome as a cause of resistant hypertension. Hypertens. Res. 37 (7), 601–613. doi:10.1038/hr.2014.80

PubMed Abstract | CrossRef Full Text | Google Scholar

Pengo, M. F., Soranna, D., Giontella, A., Perger, E., Mattaliano, P., Schwarz, E. I., et al. (2020). Obstructive sleep apnoea treatment and blood pressure: Which phenotypes predict a response? A systematic review and meta-analysis. Eur. Respir. J. 55, 1901945. doi:10.1183/13993003.01945-2019

PubMed Abstract | CrossRef Full Text | Google Scholar

Pengo, M. F., Steier, J., Parati, G., Ayas, N. T., Barbé, F., Barnes, M., et al. (2021). The andante project: A worldwide individual data meta-analysis of the effect of sleep apnea treatment on blood pressure. Arch. Bronconeumología 57 (11), 673–676. doi:10.1016/j.arbres.2021.05.002

CrossRef Full Text | Google Scholar

Pengo, M. F., Xiao, S., Ratneswaran, C., Reed, K., Shah, N., Chen, T., et al. (2016). Randomised sham-controlled trial of transcutaneous electrical stimulation in obstructive sleep apnoea. Thorax 71 (10), 923–931. doi:10.1136/thoraxjnl-2016-208691

PubMed Abstract | CrossRef Full Text | Google Scholar

Punjabi, N. M., Sorkin, J. D., Katzel, L. I., Goldberg, A. P., Schwartz, A. R., and Smith, P. L. (2002). Sleep-disordered breathing and insulin resistance in middle-aged and overweight men. Am. J. Respir. Crit. Care Med. 165, 677–682. doi:10.1164/ajrccm.165.5.2104087

PubMed Abstract | CrossRef Full Text | Google Scholar

Randerath, W., Verbraecken, J., de Raaff, C. A. L., Hedner, J., Herkenrath, S., Hohenhorst, W., et al. (2021). European Respiratory Society guideline on non-CPAP therapies for obstructive sleep apnoea. Eur. Respir. Rev. 30 (162), 210200. doi:10.1183/16000617.0200-2021

PubMed Abstract | CrossRef Full Text | Google Scholar

Remmers, J. E., deGroot, W. J., Sauerland, E. K., and Anch, A. M. (1978). Pathogenesis of upper airway occlusion during sleep. J. Appl. Physiology 44 (6), 931–938. doi:10.1152/jappl.1978.44.6.931

PubMed Abstract | CrossRef Full Text | Google Scholar

Somers, V. K., White, D. P., Amin, R., Abraham, W. T., Costa, F., Culebras, A., et al. (2008). Sleep apnea and cardiovascular disease: An American heart association/American College of cardiology foundation scientific statement from the American heart association council for high blood pressure research professional education committee, council on clinical cardiology, stroke council, and council on cardiovascular nursing. In collaboration with the national heart, lung, and blood Institute national center on sleep disorders research (national institutes of health). Circulation 118 (10), 1080–1111. doi:10.1161/CIRCULATIONAHA.107.189375

PubMed Abstract | CrossRef Full Text | Google Scholar

Steier, J., Seymour, J., Rafferty, G. F., Jolley, C. J., Solomon, E., Luo, Y., et al. (2011). Continuous transcutaneous submental electrical stimulation in obstructive sleep apnea: A feasibility study. Chest 140 (4), 998–1007. doi:10.1378/chest.10-2614

PubMed Abstract | CrossRef Full Text | Google Scholar

Pengo, M. F., and Steier, J. (2015). Emerging technology: Electrical stimulation in obstructive sleep apnoea. J. Thorac. Dis. 7 (8), 1286–1297. doi:10.3978/j.issn.2072-1439.2014.04.04

PubMed Abstract | CrossRef Full Text | Google Scholar

Strollo, P. J., Soose, R. J., Maurer, J. T., De Vries, N., Cornelius, J., Froymovich, O., et al. (2014). Upper-airway stimulation for obstructive sleep apnea. N. Engl. J. Med. 370 (2), 139–149. doi:10.1056/nejmoa1308659

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: sleep apnoea, sleep-disordered breathing, upper airway physiology, hypoxia, blood pressure

Citation: Alsharifi A, Kaltsakas G, Pengo MF, Parati G, Serna-Pascual M, Rafferty G and Steier J (2023) The effect of transcutaneous electrical stimulation of the submental area on the cardiorespiratory response in normal and awake subjects. Front. Physiol. 14:1089837. doi: 10.3389/fphys.2023.1089837

Received: 04 November 2022; Accepted: 20 February 2023;
Published: 14 March 2023.

Edited by:

Hanjun Wang, University of Nebraska Medical Center, United States

Reviewed by:

Thomas Penzel, Charité Universitätsmedizin Berlin, Germany
Peter Ricci Pellegrino, University of Nebraska Medical Center, United States

Copyright © 2023 Alsharifi, Kaltsakas, Pengo, Parati, Serna-Pascual, Rafferty and Steier. 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: Abdulaziz Alsharifi, abdulaziz.alsharifi@kcl.ac.uk

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.