NCT05577390

Brief Summary

Diabetic peripheral neuropathy is one of the most common and costly microvascular complications of diabetes impacting more than 50% of patients and costing more than 10.1 billion dollars annually. Intraneural Facilitation Therapy (INF® Therapy) is a non-invasive technique that has shown to improve balance and pain in patients with Type 2 Diabetic Peripheral Neuropathy (T2DPN); however, the underlying physiological mechanisms need further understanding. The purpose of this study is to investigate the physiological mechanisms behind two approaches to treating T2DPN, INF® Therapy and standard physical therapy. Eligible subjects presenting with diabetic neuropathy symptoms will be recruited and referred to the Loma Linda University Health's Neuropathic Therapy Center. Forty patients will be evenly randomized into two groups: an INF® Therapy Treatment group and standard physical therapy treatment group. Subjects will participate in 11 study visits over a period of 6 weeks. Non-invasive assessments will measure neuropathy pain, heart rate variability, neuropathy severity, blood oxygen levels, and blood flow under the skin. Lab draws will measure inflammation levels in the blood and how well blood sugar levels have been maintained over a period of about 3 months. Descriptive statistics and repeated measures ANOVA will be used to analyze data and answer the research questions. The findings of this study will provide a better understanding of how INF® Therapy and standard physical therapy work, subsequently improving non-invasive treatment methods for T2DPN patients.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
40

participants targeted

Target at P25-P50 for not_applicable

Timeline
15mo left

Started Jan 2024

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress65%
Jan 2024Aug 2027

First Submitted

Initial submission to the registry

September 27, 2022

Completed
16 days until next milestone

First Posted

Study publicly available on registry

October 13, 2022

Completed
1.2 years until next milestone

Study Start

First participant enrolled

January 8, 2024

Completed
3.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 1, 2027

Last Updated

November 19, 2025

Status Verified

November 1, 2025

Enrollment Period

3.6 years

First QC Date

September 27, 2022

Last Update Submit

November 17, 2025

Conditions

Keywords

Intraneural Facilitation TherapyType 2 DiabetesNeuropathyHeart rate variability

Outcome Measures

Primary Outcomes (1)

  • The Impact of INF® Therapy and Standard Physical Therapy on Heart Rate Variability

    This is a composite measurement combining electrocardiogram and Welltory App measurements. Heart rate variability (HRV) is the variation in the time interval between consecutive heartbeats and can be used to assess the current state of the nervous system. HRV measures will include LF, HF, LF/HF ratio, SDNN, SDANN, RMSSD, and NN50. The calculation of these variables allows HRV to be quantified. A normal result is between 25 to 50 milliseconds while an abnormal result is less than or greater than that range.

    Through study completion, an average of 6 weeks.

Secondary Outcomes (3)

  • The impact of INF® Therapy and Standard Physical Therapy on neuropathy severity

    Through study completion, an average of 6 weeks.

  • The impact of INF® Therapy and Standard Physical Therapy on blood flow

    Through study completion, an average of 6 weeks.

  • The impact of INF® Therapy and Standard Physical Therapy on inflammation

    Through study completion, an average of 6 weeks.

Study Arms (2)

Intraneural Facilitation Therapy Treatment Group

EXPERIMENTAL

Subjects will receive nine 60-minute INF® Therapy Treatments during sessions 2 through 10. INF® Therapy is a non-invasive treatment that helps eliminate pain, tingling, numbness, and other symptoms that come with neuropathy.

Other: Intraneural Facilitation Therapy Treatment

Standard Physical Therapy Treatment Group

EXPERIMENTAL

Subjects will receive nine 60-minute standard physical therapy treatments during sessions 2 through 10.

Other: Standard Physical Therapy Treatment

Interventions

Intraneural Facilitation Therapy uses three manual holds to bias blood flow to closed endoneurial capillaries. The first is the facilitation hold, which is thought to pressurize the nervous system and bias circulation from the artery into the epineurium. This hold stretches the nerve further than the artery, increasing the amount of elastin in the artery and enlarging the opening of the arterial junction increasing blood into the epineurium. The secondary hold then increases epineurial blood into the transperineurial vessels increasing pressure into the endoneurial capillaries of the site being treated. The third hold, known as the sub hold, encourages blood flow through ischemic endoneurial capillaries that have increased resistance/pressure through the application of Bernoulli's principle. The series of stretches will be repeated on the affected side for the treatment duration.

Intraneural Facilitation Therapy Treatment Group

The standard physical therapy treatment includes muscle stretching, balance, and strengthening exercises known to improve neuropathy symptoms.

Standard Physical Therapy Treatment Group

Eligibility Criteria

Age45 Years - 85 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Between the ages of 45 and 85
  • Moderate to severe type II diabetic neuropathy with one or more symptoms including: numbness, tingling, burning, sharp pain, and/or increased sensitivity.
  • Diagnosis confirmed by a physician.
  • Cellphone access with Android 5.0 and up or iOS 14.0 or later.

You may not qualify if:

  • Subjects with a medical condition predisposing them to medical decline during the next 6 months will be excluded from the study. Examples include:
  • Chemotherapy
  • Radiation
  • Lower extremity amputations
  • Open wounds
  • Documented active drug and or alcohol misuse
  • Chronic liver disease
  • Active inflammations
  • Other types of neuropathies not associated with diabetes including B12 deficiency and Charcot Marie Tooth
  • Morbid obesity
  • Pregnancy.
  • Taking beta blockers
  • Unable to maintain steady fingers or operate a cellphone
  • Smoking or ingesting marijuana
  • Having a pacemaker
  • +1 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Loma Linda University Health Neuropathic Therapy Center

Loma Linda, California, 92350, United States

RECRUITING

Related Publications (17)

  • Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J. 1996 Mar;17(3):354-81. No abstract available.

    PMID: 8737210BACKGROUND
  • Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, Colagiuri S, Guariguata L, Motala AA, Ogurtsova K, Shaw JE, Bright D, Williams R; IDF Diabetes Atlas Committee. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019 Nov;157:107843. doi: 10.1016/j.diabres.2019.107843. Epub 2019 Sep 10.

    PMID: 31518657BACKGROUND
  • Feldman EL, Callaghan BC, Pop-Busui R, Zochodne DW, Wright DE, Bennett DL, Bril V, Russell JW, Viswanathan V. Diabetic neuropathy. Nat Rev Dis Primers. 2019 Jun 13;5(1):41. doi: 10.1038/s41572-019-0092-1.

    PMID: 31197153BACKGROUND
  • Gordois A, Scuffham P, Shearer A, Oglesby A, Tobian JA. The health care costs of diabetic peripheral neuropathy in the US. Diabetes Care. 2003 Jun;26(6):1790-5. doi: 10.2337/diacare.26.6.1790.

    PMID: 12766111BACKGROUND
  • Gore M, Brandenburg NA, Dukes E, Hoffman DL, Tai KS, Stacey B. Pain severity in diabetic peripheral neuropathy is associated with patient functioning, symptom levels of anxiety and depression, and sleep. J Pain Symptom Manage. 2005 Oct;30(4):374-85. doi: 10.1016/j.jpainsymman.2005.04.009.

    PMID: 16256902BACKGROUND
  • Hicks CW, Selvin E. Epidemiology of Peripheral Neuropathy and Lower Extremity Disease in Diabetes. Curr Diab Rep. 2019 Aug 27;19(10):86. doi: 10.1007/s11892-019-1212-8.

    PMID: 31456118BACKGROUND
  • Callaghan BC, Gallagher G, Fridman V, Feldman EL. Diabetic neuropathy: what does the future hold? Diabetologia. 2020 May;63(5):891-897. doi: 10.1007/s00125-020-05085-9. Epub 2020 Jan 23.

    PMID: 31974731BACKGROUND
  • Alshahrani A, Bussell M, Johnson E, Tsao B, Bahjri K. Effects of a Novel Therapeutic Intervention in Patients With Diabetic Peripheral Neuropathy. Arch Phys Med Rehabil. 2016 May;97(5):733-8. doi: 10.1016/j.apmr.2015.12.026. Epub 2016 Jan 22.

    PMID: 26808781BACKGROUND
  • Sun PC, Kuo CD, Chi LY, Lin HD, Wei SH, Chen CS. Microcirculatory vasomotor changes are associated with severity of peripheral neuropathy in patients with type 2 diabetes. Diab Vasc Dis Res. 2013 May;10(3):270-6. doi: 10.1177/1479164112465443. Epub 2012 Dec 14.

    PMID: 23241514BACKGROUND
  • Zheng H, Sun W, Zhang Q, Zhang Y, Ji L, Liu X, Zhu X, Ye H, Xiong Q, Li Y, Lu B, Zhang S. Proinflammatory cytokines predict the incidence of diabetic peripheral neuropathy over 5 years in Chinese type 2 diabetes patients: A prospective cohort study. EClinicalMedicine. 2020 Dec 23;31:100649. doi: 10.1016/j.eclinm.2020.100649. eCollection 2021 Jan.

    PMID: 33385123BACKGROUND
  • Lockhart CJ, McCann AJ, Pinnock RA, Hamilton PK, Harbinson MT, McVeigh GE. Multimodal functional and anatomic imaging identifies preclinical microvascular abnormalities in type 1 diabetes mellitus. Am J Physiol Heart Circ Physiol. 2014 Dec 15;307(12):H1729-36. doi: 10.1152/ajpheart.00372.2014. Epub 2014 Oct 3.

    PMID: 25281566BACKGROUND
  • McVeigh GE, Morgan DR, Allen P, Trimble M, Hamilton P, Dixon LJ, Silke B, Hayes JR. Early vascular abnormalities and de novo nitrate tolerance in diabetes mellitus. Diabetes Obes Metab. 2002 Sep;4(5):336-41. doi: 10.1046/j.1463-1326.2002.00220.x.

    PMID: 12190997BACKGROUND
  • Selvarajah D, Wilkinson ID, Fang F, Sankar A, Davies J, Boland E, Harding J, Rao G, Gandhi R, Tracey I, Tesfaye S. Structural and Functional Abnormalities of the Primary Somatosensory Cortex in Diabetic Peripheral Neuropathy: A Multimodal MRI Study. Diabetes. 2019 Apr;68(4):796-806. doi: 10.2337/db18-0509. Epub 2019 Jan 7.

    PMID: 30617218BACKGROUND
  • Vinik AI, Maser RE, Mitchell BD, Freeman R. Diabetic autonomic neuropathy. Diabetes Care. 2003 May;26(5):1553-79. doi: 10.2337/diacare.26.5.1553.

    PMID: 12716821BACKGROUND
  • Pop-Busui R, Backlund JC, Bebu I, Braffett BH, Lorenzi G, White NH, Lachin JM, Soliman EZ; DCCT/EDIC Research Group. Utility of using electrocardiogram measures of heart rate variability as a measure of cardiovascular autonomic neuropathy in type 1 diabetes patients. J Diabetes Investig. 2022 Jan;13(1):125-133. doi: 10.1111/jdi.13635. Epub 2021 Aug 14.

    PMID: 34309223BACKGROUND
  • Iannetta D, Inglis EC, Soares RN, McLay KM, Pogliaghi S, Murias JM; CAPES scholarship holder. Reliability of microvascular responsiveness measures derived from near-infrared spectroscopy across a variety of ischemic periods in young and older individuals. Microvasc Res. 2019 Mar;122:117-124. doi: 10.1016/j.mvr.2018.10.001. Epub 2018 Oct 4.

    PMID: 30292692BACKGROUND
  • Brown CD, Davis HT, Ediger MN, Fleming CM, Hull EL, Rohrscheib M. Clinical assessment of near-infrared spectroscopy for noninvasive diabetes screening. Diabetes Technol Ther. 2005 Jun;7(3):456-66. doi: 10.1089/dia.2005.7.456.

    PMID: 15929677BACKGROUND

MeSH Terms

Conditions

Diabetes Mellitus, Type 2

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System Diseases

Study Officials

  • Mark Bussell, DPT, OCS

    Loma Linda University Health

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Mark Bussell, DPT, OCS

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
INVESTIGATOR
Masking Details
Single-blinded study. Subjects will be randomly assigned to one of two treatment groups. Treating therapists will be informed of the study arm assignment. The physical therapist performing the pre and post evaluation measurements will be different than the treating therapists and blinded to the study arm assignment.
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: Two arms: One INF® Therapy Treatment group and One standard physical therapy treatment group
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 27, 2022

First Posted

October 13, 2022

Study Start

January 8, 2024

Primary Completion (Estimated)

August 1, 2027

Study Completion (Estimated)

August 1, 2027

Last Updated

November 19, 2025

Record last verified: 2025-11

Data Sharing

IPD Sharing
Will share

All de-identified results and locally developed analysis software will be made available via our laboratory GitHub repository (https://github.com/drcgw/BASS) upon publication of manuscripts from this project. Individual data will be de-identified and combined in a master spreadsheet with subject I.D. numbers. As described in the research protocol, metrics will include data from ultrasound assessments, HRV summary data for each subject, Pulse-doppler, and NIRS data, as well as relevant subject notes that do not include PHI.

Shared Documents
STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
Time Frame
The data will be available indefinitely from six months post-manuscript publication.
Access Criteria
Data stored on our GitHub repository will be made available to clinicians and researchers after reaching out to the project leaders for access to the data repository.
More information

Locations