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RecruitingNCT06739993RwHRVBFinPDUpdated Aug 5, 2026

Effects of Autonomic Nervous System Modulation by Heart Rate Variability Biofeedback Training With Resonant Frequency Breathing on Glucose Metabolism in Individuals With Prediabetes

An interventional study of Resonance frequency breathing with heart rate variability biofeedback training and Anti-Stress program in Prediabetes, sponsored by Johannes Gutenberg University Mainz. Recruiting at 2 sites in Germany. Open to participants aged 18 Years to 65 Years. Per ClinicalTrials.gov, last updated 2026-08-05.

Sponsored by Johannes Gutenberg University Mainz · Not applicable, Interventional, and Treatment

From the registry’s dates

  • Started May 2025; still recruiting 1 year 5 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
60
Allocation
Randomized
Ages
18 Years to 65 Years
Sex
All
01

Study summary

Approximately 20% of adults have prediabetes in Germany. Prediabetes is defined as a condition with glucose levels outside the normal range but not yet meeting the criteria for type 2 diabetes. The pathogenesis of prediabetes, as well as of type 2 diabetes, involves whole-body insulin resistance associated with inadequate insulin secretion. These two central processes of glucose regulation are modulated by the brain. The brain communicates via the autonomic nervous system (ANS) with metabolically important organs in the periphery to modulate insulin sensitivity and insulin secretion. These processes are impaired in individuals with prediabetes and diabetes. An ANS sympathovagal imbalance has also been observed in individuals with prediabetes. There are no specific therapeutic approaches to improve ANS sympathovagal imbalance. It is assumed that resonant frequency breathing (RFB) maximizes heart rate variability (HRV) through rhythmization of breathing, heartbeat, and blood pressure. Through this state of coherence, the activity of the parasympathetic nervous system is upregulated, and the activity of the sympathetic nervous system is suppressed, leading to an increase in modulation of ANS activity. Several studies have demonstrated that heart rate variability-biofeedback (HRV-BF) interventions improve HRV, reduce stress and anxiety, and alleviate symptoms in patients with various medical conditions. To the best of current knowledge, no study has investigated the effect of HRV-BF-RFB on glucose metabolism. Therefore, the proposed randomized controlled non-blinded trial aims to gain evidence about the effect of HRV-BF-RFB compared to an anti-stress program on glucose metabolism in individuals with prediabetes. Glucose metabolism is characterized using the 75 g oral glucose tolerance test. There are two potential mechanisms by which HRV-BF-RFB may improve glucose metabolism in individuals with prediabetes: (a) a 0°-phase relationship between heart oscillations and breathing, maximizing the amplitude of respiratory sinus arrhythmia (RSA), and (b) activation of the cholinergic anti-inflammatory pathway. The investigators hypothesized that in individuals with prediabetes, the HRV-BF-RFB intervention will improve glucose metabolism and glucose variability.

02

Conditions studied

  • Prediabetes

Browse trials for

Keywords

  • prediabetes
  • glucose metabolism
  • heart rate variability-biofeedback training
  • resonance frequency breathing
  • oral glucose tolerance test
03

In context

Prediabetic State

918 studies on the registry are indexed under Prediabetic State; 232 are open to participants now.

This study's planned enrollment of 60 is close to the median of 62 across 762 interventional studies indexed under Prediabetic State.

Browse Prediabetic State studies →

Lead sponsor

Johannes Gutenberg University Mainz is the lead sponsor of 156 studies on the registry; 20 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Presence of prediabetes Fasting glucose: 100-125 mg/dl (5.6-6.9 mmol/L) and/or in %: 5.7-6.4 (39-47 mmol/mol ) and/or 2-hour value of the 75 g OGTT: 140-199 mg/dl (7.8-11.0 mmol/L)

    • This is checked using a 75 g OGTT in a screening visit.
  • Age between 18 and 65 years
  • between 20 and 40 kg/m²

Exclusion criteria

Exclusion Criteria:

  • Diabetes mellitus
  • Malignant diseases within the last 5 years before randomization
  • History of gastrointestinal surgery
  • Pancreatic diseases other than pancreatic lipomatosis
  • Acute diseases or infections
  • Regular intake of cardiac drugs that affect heart rate within the last 4 weeks before the first measurement (e.g. beta-receptor blockers, antiarrhythmics, etc.)
  • Intake of centrally acting drugs
  • Medical to a meaningful interpretation of the heart rate analysis (e.g. patients with pacemakers, atrial fibrillation or other arrhythmias)
  • Chronic diseases (particularly metabolic diseases, heart diseases, blood diseases)
  • Endocrinological disease other than substituted hypothyroidism
  • Mental illnesses
  • Intake of drugs that can affect blood sugar metabolism (e.g. )
Terms in these criteria, in plain language(5)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

HbA1c

A blood test of average blood sugar over the past two to three months, given as a percentage or in mmol/mol. 6.5% (48 mmol/mol) or more is the usual threshold for diabetes, normally confirmed by a second test.

Hemoglobin (Hb)

The protein in red blood cells that carries oxygen. A low level is anaemia, which can cause tiredness and breathlessness. Measured in g/dL or g/L (9 g/dL is 90 g/L).

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

Corticosteroids (steroids)

Anti-inflammatory medicines such as prednisone, prednisolone and dexamethasone — not the anabolic steroids used for muscle.

Studies differ in what they allow: check which steroid medicines, routes (tablets, injections, creams, inhalers, eye drops) and doses this study accepts.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
60 participants (estimated)

Study arms

  • Experimental
    Resonance frequency breathing with heart rate variability biofeedback training (RFB-HRV-BF)

    The mobile system "eSense Pulse" by Mindfield Biosystems Ltd. (Gronau, Germany) was used for RFB-HRV-BF training. The participants sat in an upright position, started the training via the eSense app on their smartphone, and were instructed to practice breathing at their individually determined resonance frequency.During training, a ball that expands (breathe in) and shrinks (breathe out) on the screen specified the breathing frequency goal to a value of six cycles per minute (five seconds inspiration, five seconds expiration). The HRV was visualized by new symbols varying in color depending on the respectively measured values, which appeared every ten seconds.

    Behavioral: Resonance frequency breathing with heart rate variability biofeedback training

  • Active comparator
    Anti-Stress program

    The mobile system eSense Pulse from Mindfield Biosystems is used for the digital anti-stress program. To do this, the participants put on a chest strap with a sensor and can start training via the eSense app. The anti-stress program is carried out using a procedure generated for the study. During the anti-stress program units, the participants receive application-related information and tips to better understand the topic of stress, identify stressors in their own lives and reduce stress. The active control intervention of the anti-stress program was selected to investigate the effect of a specific stress level reduction without the direct modulation of physiological mechanisms of action as with HRV-BF-RFA.

    Behavioral: Anti-Stress program

Interventions

  • BehavioralResonance frequency breathing with heart rate variability biofeedback training

    During training, a ball that expands (breathe in) and shrinks (breathe out) on the screen specified the breathing frequency goal to a value of six cycles per minute (five seconds inspiration, five seconds expiration). The HRV was visualized by new symbols varying in color depending on the respectively measured values, which appeared every ten seconds. When the participants achieved the specified breathing frequency, resulting in an increased sinus arrhythmia, the symbols appearing on the smartphone display were green. When the participants did not achieve the specified breathing frequency, the symbols appeared in yellow (non-significant deviation), orange (significant deviation), or red (very significant deviation). The participants were instructed to adjust their breathing frequency to reach emergence of as many green symbols as possible for the entire training session.

    Also known as: RFB-HRV-BF

  • BehavioralAnti-Stress program

    The mobile system eSense Pulse from Mindfield Biosystems is used for the digital anti-stress program. To do this, the participants put on a chest strap with a sensor and can start training via the eSense app. The anti-stress program is carried out using a procedure generated for the study. During the anti-stress program units, the participants receive application-related information and tips to better understand the topic of stress, identify stressors in their own lives and reduce stress. The active control intervention of the anti-stress program was selected to investigate the effect of a specific stress level reduction without the direct modulation of physiological mechanisms of action as with HRV-BF-RFA.

    Also known as: ASP

06

What researchers measure

Primary outcomes

  1. Glucose metabolism

    Glucose metabolism was assessed through a frequently-sampled 75 g oral glucose tolerance test (OGTT) starting at 8:00 a.m. after an overnight fast. After basal blood sampling, the participants drank a 75 g glucose solution, with further blood samples taken at 30, 60, 90, and 120 minutes after glucose ingestion. Areas under the curve were calculated based on the trapezoid method.

    Time frame: Baseline, four weeks, and eight weeks.

Secondary outcomes

  1. Glucose stimulated insulin secretion

    Glucose stimulated insulin secretion was assessed as oral Disposition Index and as ratio of the areas under the C-peptide curves and the areas under the glucose curves during the first 30 minutes of the OGTT (AUC C-peptid0-30/AUC glucose0-30). For the estimation of insulin sensitivity, HOMA-IR was used for the fasting state and Matsuda Index \[29\] for the post-glucose load situation. Insulin clearance was estimated by the ratio of the areas under the C-peptide and insulin curves during the OGTT (AUC C-peptide0-120/AUC insulin0-120).

    Time frame: Baseline, four weeks, and eight weeks.

Other outcomes

  1. Interstitial fluid glucose levels in mg/dL

    The daily profiles of the interstitial fluid glucose levels are recorded using continuous glucose measurement systems (FreeStyle Libre Pro iQ). These data enable the calculation of indices to assess glucose variability (standard deviation, coefficient of variation, MAGE index, MODD index) and glucose tolerance (daily mean values, AUC). Each measurement period lasted 14 days, as per the sensor lifespan.

    Time frame: Two weeks before the intervention, two weeks after the intervention

  2. Cytokines

    The cytokine profile is quantified using 48 analytes measured as a multiplex assay (proximity extension assay, Olink Proteomics, 2021). The 45 immune-related proteins (in pg/mL) are: IL-18, HGF, CCL19, CCL2, MMP12, LTA, FLT3LG, TNF, IL17A, IL2, ILF17F, CSF3, IL1B, OLR1, TNFSF12, CXCL10, VEGFA, IL33, TSLP, IFNG, CCL4, TGFA, IL13, CXCL8, CCL8, IL6, CCL13, CSF2, CCL7, IL4, TNFSF10, OSM, MMP1, EGF, IL7, IL15, CSF1, CXCL9, CXCL11, IL17C, CXCL12, CCL11, IL10, CCL3, EBI3\_IL27.

    Time frame: Baseline, four weeks, and eight weeks.

07

Study locations

1 of 2 sites recruiting
  • University Medical Center Mainz - Medical Psychology and Medical Sociology
    Mainz, Mainz 55128, Germany
    Recruiting
  • University Medical Center of the Johannes-Gutenberg University, Department of Medical Psychology and Medical Sociology
    Mainz, Rhineland-Palatinate 55128, Germany
    Not yet recruiting
08

References and documents

Publications

  • Herhaus B, Thesing G, Conrad R, Petrowski K. Alterations in heart rate variability and pro-inflammatory cytokine TNF-alpha in individuals with panic disorder. Psychiatry Res. 2023 Apr;322:115107. doi: 10.1016/j.psychres.2023.115107. Epub 2023 Feb 12. PubMed 36796202 ↗
  • Herhaus B, Siepmann M, Kahaly GJ, Conrad R, Petrowski K. Effect of a Biofeedback Intervention on Heart Rate Variability in Individuals With Panic Disorder: A Randomized Controlled Trial. Psychosom Med. 2022 Feb-Mar 01;84(2):199-209. doi: 10.1097/PSY.0000000000001031. PubMed 34654028 ↗
  • Herhaus B, Kalin A, Gouveris H, Petrowski K. Mobile Heart Rate Variability Biofeedback Improves Autonomic Activation and Subjective Sleep Quality of Healthy Adults - A Pilot Study. Front Physiol. 2022 Feb 17;13:821741. doi: 10.3389/fphys.2022.821741. eCollection 2022. PubMed 35250623 ↗
  • Herhaus B, Conrad R, Petrowski K. Effect of a slow-paced breathing with heart rate variability biofeedback intervention on pro-inflammatory cytokines in individuals with panic disorder - A randomized controlled trial. J Affect Disord. 2023 Apr 1;326:132-138. doi: 10.1016/j.jad.2023.01.091. Epub 2023 Jan 28. PubMed 36720404 ↗
  • Heni M, Wagner R, Willmann C, Jaghutriz BA, Vosseler A, Kubler C, Hund V, Scheffler K, Peter A, Haring HU, Preissl H, Kullmann S, Fritsche A. Insulin Action in the Hypothalamus Increases Second-Phase Insulin Secretion in Humans. Neuroendocrinology. 2020;110(11-12):929-937. doi: 10.1159/000504551. Epub 2019 Nov 5. PubMed 31689708 ↗
  • Heni M, Wagner R, Kullmann S, Veit R, Mat Husin H, Linder K, Benkendorff C, Peter A, Stefan N, Haring HU, Preissl H, Fritsche A. Central insulin administration improves whole-body insulin sensitivity via hypothalamus and parasympathetic outputs in men. Diabetes. 2014 Dec;63(12):4083-8. doi: 10.2337/db14-0477. Epub 2014 Jul 15. PubMed 25028522 ↗
  • Heni M, Wagner R, Kullmann S, Gancheva S, Roden M, Peter A, Stefan N, Preissl H, Haring HU, Fritsche A. Hypothalamic and Striatal Insulin Action Suppresses Endogenous Glucose Production and May Stimulate Glucose Uptake During Hyperinsulinemia in Lean but Not in Overweight Men. Diabetes. 2017 Jul;66(7):1797-1806. doi: 10.2337/db16-1380. Epub 2017 Feb 7. PubMed 28174292 ↗

Individual participant data

Plan to share: No — There is not a plan to make IPD available.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started May 2025 (actual). Primary completion is estimated for Dec 2026, 19 months after the start.

Of 378 non-industry interventional studies with no phase under Prediabetic State, half reached primary completion within 25 months of starting (the median), counting those still running; a quarter within 12 and three quarters within 39. This study's planned 19 months is below that.

Counting every sponsor, half of 424 studies reached it within 23 months; a quarter within 11 and three quarters within 37.

How these figures are worked out, and which studies are left out of them.

Registered
Dec 13, 2024
First posted
Dec 18, 2024
StartActual
May 14, 2025
Primary completionEst.
Dec 31, 2026
CompletionEst.
Mar 31, 2027
Last update
Aug 5, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 5, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06739993
Responsible party
Benedict Herhaus (Ph.D., Johannes Gutenberg University Mainz) — Principal investigator
First posted
Dec 18, 2024
Start date
May 14, 2025
Primary completion
Dec 31, 2026 (estimated)
Completion
Mar 31, 2027 (estimated)
Last update
Aug 5, 2026

Study contacts

Benedict Herhaus, Ph.D.
Contact
bherhaus@uni-mainz.de
004961313929140
Martin Heni, Prof. Dr. med.
Contact

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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