Artificial Pancreas Technology to Reduce Glycemic Variability and Improve Cardiovascular Health in Type 1 Diabetes

NCT ID: NCT05653518

Last Updated: 2025-04-23

Basic Information

• Recruitment Status: RECRUITING
• Clinical Phase: NA
• Total Enrollment: 40 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2023-09-09
• Study Completion Date: 2025-11-30

Brief Summary

This study will examine the potential cardiovascular effect(s) of artificial pancreas (AP) technology in patients with type 1 diabetes. AP technology is a system of devices that closely mimics the glucose-regulating function of a healthy human pancreas. It includes an insulin pump and a continuous glucose monitor (CGM). In this study, the investigators will research whether improvements in blood glucose levels and blood glucose variability will in turn decrease biomarkers of inflammation and endothelial dysfunction while improving cardiovascular function.

Detailed Description

Cardiovascular disease is a type of disease that affects the heart and blood vessels. The current care for cardiovascular disease prevention in people with type 1 diabetes is to manage blood pressure, cholesterol blood levels, or manage blood glucose levels.

This study will examine the potential cardiovascular effect(s) of artificial pancreas (AP) technology in patients with type 1 diabetes. AP technology is a system of devices that closely mimics the glucose-regulating function of a healthy human pancreas. It includes an insulin pump and a continuous glucose monitor (CGM). In this study, we will use the Food and Drug Administration (FDA)-approved Tandem t:slim insulin pump with Control-IQ Technology and the FDA approved Dexcom G6 CGM. This study will research whether improvements in blood glucose metrics lead to reductions in some of the cardiovascular biomarkers that represent harmful effects in people with type 1 diabetes. Subjects will be randomly assigned to one of two study groups for 12 weeks---Group 1 will be treated with AP Technology and Group 2 will wear the study CGM and continue to use their current diabetes management strategy (i.e., standard care).

Conditions

Type 1 Diabetes

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: TREATMENT
• Blinding Strategy: NONE

Study Groups

Closed-loop artificial pancreas (AP)

FDA approved Tandem t:slim insulin pump with Control-IQ Technology and the Dexcom G6 CGM

Group Type: EXPERIMENTAL

Tandem t:slim X2 with Control-IQ Technology

Intervention Type: DEVICE

FDA approved Tandem t:slim insulin pump with Control-IQ Technology and the Dexcom G6 CGM

Sensor Augmented Pump (SAP) therapy

Sensor augmented pump (SAP) therapy that includes the use of a study CGM and the participant's current insulin therapy (i.e., either insulin pump or multiple daily injections)

Group Type: EXPERIMENTAL

Sensor augmented pump (SAP) therapy

Intervention Type: DEVICE

Sensor augmented pump (SAP) therapy that includes the use of a study CGM and the participant's personal insulin pump

Interventions

Tandem t:slim X2 with Control-IQ Technology

FDA approved Tandem t:slim insulin pump with Control-IQ Technology and the Dexcom G6 CGM

Intervention Type: DEVICE

Sensor augmented pump (SAP) therapy

Sensor augmented pump (SAP) therapy that includes the use of a study CGM and the participant's personal insulin pump

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

1. Clinical diagnosis, based on World Health Organization criteria, of type 1 diabetes for at least one year

2. Currently using insulin for at least six months

3. Ages 18-≤40 years

4. Hemoglobin A1c <10.5%

5. Body mass index 18-30 kg/m2

6. Blood pressure <140/90 mmHg

7. For females, not currently known to be pregnant or breastfeeding

8. If female and sexually active, must agree to use a form of contraception to prevent pregnancy while a participant in the study. A negative serum or urine pregnancy test will be required for all females of childbearing potential. Participants who become pregnant will be discontinued from the study. Also, participants who during the study develop and express the intention to become pregnant within the timespan of the study will be discontinued

9. Both pump and MDI users will use insulin parameters such as carbohydrate ratio and correction factors consistently in order to dose insulin for meals or corrections; pump users will have history of entering this information into their pump

10. Willingness to suspend use of any personal CGM for the duration of the clinical trial once the study CGM is in use

11. Access to internet and willingness to upload data during the study as needed, including data generated prior to the start of the study

12. Current use of a glucometer that is downloadable; or willingness to use a study glucometer

13. Investigator has confidence that the participant can successfully operate all study devices and is capable of adhering to the protocol

14. Willingness to use personal lispro (Humalog) or aspart (Novolog) and to use no other insulin besides lispro (Humalog) or aspart (Novolog) during the study

15. Total daily insulin dose (TDD) at least 10 U/day.

16. Willingness not to start any new non-insulin glucose-lowering agent during the trial

Exclusion Criteria

1. Severe hypoglycemia resulting in seizure or loss of consciousness in the 12 months prior to enrollment

2. Diagnosis of diabetic ketoacidosis in the 12 months prior to enrollment

3. Prior diagnosis of cardiac disease (e.g., myocardial infarction, congestive heart failure)

4. Cerebrovascular accident in the 12 months prior to enrollment

5. Uncontrolled resting arterial hypertension

6. Conditions that would make use of a CGM difficult (e.g., blindness, severe arthritis, immobility)

7. Current use of oral/inhaled glucocorticoids or other medications, which in the judgment of the investigator would be a contraindication to participation in the study

8. Concurrent use of any non-insulin glucose-lowering agent (including metformin, GLP-1 agonists, pramlintide, DPP-4 inhibitors, SGLT-2 inhibitors, and/or sulfonylureas)

9. Hemophilia or any other bleeding disorder

10. Currently being treated for a seizure disorder

11. A medical condition or medication, which in the opinion of the investigator or designee, would put the participant or study at risk

12. Current smokers or those who have quit smoking <2 years ago

13. Screening Electrocardiogram (ECG) findings indicative of arrhythmia, sinus node disease, or ischemic heart disease

14. Any woman with hemoglobin (Hgb) <11 g/dL or any man with Hgb <12 g/dL on screening laboratory evaluation (i.e., complete blood count)

15. History of hypersensitivity or prior adverse reaction (e.g., anaphylaxis or angioedema) to IV regular insulin infusion

16. Diagnosis of peripheral neuropathy (assessed by monofilament examination), macroalbuminuria (urine albumin:creatinine >300 mg per g), or retinopathy beyond mild, nonproliferative retinopathy

17. Unstable (i.e., dose adjustment less than 4 weeks prior to study enrollment) doses of vasoactive medications (e.g., calcium channel blockers, statins, nitrates, alpha-blockers, beta-blockers, ACE inhibitors, etc.)

18. History of hypersensitivity or prior adverse reaction to Definity microbubble infusion

19. Current enrollment in another clinical trial, unless approved by the investigator of both studies or if clinical trial is a non-interventional registry trial

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 40 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

University of Virginia

OTHER

Sponsor Role: lead

Responsible Party

William Horton, MD

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

William B Horton, MD

Role: PRINCIPAL_INVESTIGATOR

University of Virginia

Locations

University of Virginia Health System

Charlottesville, Virginia, United States

Site Status: RECRUITING

Countries

United States

Central Contacts

William B Horton, MD

Role: CONTACT

WBH2N@uvahealth.org

434-924-1828

Lee Hartline, MEd

Role: CONTACT

lmh9d@virginia.edu

434-924-5247

Facility Contacts

Lee M Hartline

Role: primary

LMH9D@virginia.edu

References

Livingstone SJ, Looker HC, Hothersall EJ, Wild SH, Lindsay RS, Chalmers J, Cleland S, Leese GP, McKnight J, Morris AD, Pearson DW, Peden NR, Petrie JR, Philip S, Sattar N, Sullivan F, Colhoun HM. Risk of cardiovascular disease and total mortality in adults with type 1 diabetes: Scottish registry linkage study. PLoS Med. 2012;9(10):e1001321. doi: 10.1371/journal.pmed.1001321. Epub 2012 Oct 2.

Reference Type: BACKGROUND

PMID: 23055834 (View on PubMed)

Secrest AM, Becker DJ, Kelsey SF, Laporte RE, Orchard TJ. Cause-specific mortality trends in a large population-based cohort with long-standing childhood-onset type 1 diabetes. Diabetes. 2010 Dec;59(12):3216-22. doi: 10.2337/db10-0862. Epub 2010 Aug 25.

Reference Type: BACKGROUND

PMID: 20739685 (View on PubMed)

Martin-Timon I, Sevillano-Collantes C, Segura-Galindo A, Del Canizo-Gomez FJ. Type 2 diabetes and cardiovascular disease: Have all risk factors the same strength? World J Diabetes. 2014 Aug 15;5(4):444-70. doi: 10.4239/wjd.v5.i4.444.

Reference Type: BACKGROUND

PMID: 25126392 (View on PubMed)

Priya G, Kalra S. A Review of Insulin Resistance in Type 1 Diabetes: Is There a Place for Adjunctive Metformin? Diabetes Ther. 2018 Feb;9(1):349-361. doi: 10.1007/s13300-017-0333-9. Epub 2017 Nov 14.

Reference Type: BACKGROUND

PMID: 29139080 (View on PubMed)

Alessa T, Szeto A, Chacra W, Mendez A, Goldberg RB. High HDL-C prevalence is common in type 1 diabetes and increases with age but is lower in Hispanic individuals. J Diabetes Complications. 2015 Jan-Feb;29(1):105-7. doi: 10.1016/j.jdiacomp.2014.08.011. Epub 2014 Sep 6.

Reference Type: BACKGROUND

PMID: 25441221 (View on PubMed)

Norgaard K, Feldt-Rasmussen B, Borch-Johnsen K, Saelan H, Deckert T. Prevalence of hypertension in type 1 (insulin-dependent) diabetes mellitus. Diabetologia. 1990 Jul;33(7):407-10. doi: 10.1007/BF00404089.

Reference Type: BACKGROUND

PMID: 2401396 (View on PubMed)

Corbin KD, Driscoll KA, Pratley RE, Smith SR, Maahs DM, Mayer-Davis EJ; Advancing Care for Type 1 Diabetes and Obesity Network (ACT1ON). Obesity in Type 1 Diabetes: Pathophysiology, Clinical Impact, and Mechanisms. Endocr Rev. 2018 Oct 1;39(5):629-663. doi: 10.1210/er.2017-00191.

Reference Type: BACKGROUND

PMID: 30060120 (View on PubMed)

Kanter JE, Shao B, Kramer F, Barnhart S, Shimizu-Albergine M, Vaisar T, Graham MJ, Crooke RM, Manuel CR, Haeusler RA, Mar D, Bomsztyk K, Hokanson JE, Kinney GL, Snell-Bergeon JK, Heinecke JW, Bornfeldt KE. Increased apolipoprotein C3 drives cardiovascular risk in type 1 diabetes. J Clin Invest. 2019 Jul 11;129(10):4165-4179. doi: 10.1172/JCI127308.

Reference Type: BACKGROUND

PMID: 31295146 (View on PubMed)

Risso A, Mercuri F, Quagliaro L, Damante G, Ceriello A. Intermittent high glucose enhances apoptosis in human umbilical vein endothelial cells in culture. Am J Physiol Endocrinol Metab. 2001 Nov;281(5):E924-30. doi: 10.1152/ajpendo.2001.281.5.E924.

Reference Type: BACKGROUND

PMID: 11595647 (View on PubMed)

Quagliaro L, Piconi L, Assaloni R, Martinelli L, Motz E, Ceriello A. Intermittent high glucose enhances apoptosis related to oxidative stress in human umbilical vein endothelial cells: the role of protein kinase C and NAD(P)H-oxidase activation. Diabetes. 2003 Nov;52(11):2795-804. doi: 10.2337/diabetes.52.11.2795.

Reference Type: BACKGROUND

PMID: 14578299 (View on PubMed)

Piconi L, Quagliaro L, Assaloni R, Da Ros R, Maier A, Zuodar G, Ceriello A. Constant and intermittent high glucose enhances endothelial cell apoptosis through mitochondrial superoxide overproduction. Diabetes Metab Res Rev. 2006 May-Jun;22(3):198-203. doi: 10.1002/dmrr.613.

Reference Type: BACKGROUND

PMID: 16453381 (View on PubMed)

Horvath EM, Benko R, Kiss L, Muranyi M, Pek T, Fekete K, Barany T, Somlai A, Csordas A, Szabo C. Rapid 'glycaemic swings' induce nitrosative stress, activate poly(ADP-ribose) polymerase and impair endothelial function in a rat model of diabetes mellitus. Diabetologia. 2009 May;52(5):952-61. doi: 10.1007/s00125-009-1304-0. Epub 2009 Mar 5.

Reference Type: BACKGROUND

PMID: 19263033 (View on PubMed)

Frontoni S, Di Bartolo P, Avogaro A, Bosi E, Paolisso G, Ceriello A. Glucose variability: An emerging target for the treatment of diabetes mellitus. Diabetes Res Clin Pract. 2013 Nov;102(2):86-95. doi: 10.1016/j.diabres.2013.09.007. Epub 2013 Sep 25.

Reference Type: BACKGROUND

PMID: 24128999 (View on PubMed)

Ayano-Takahara S, Ikeda K, Fujimoto S, Hamasaki A, Harashima S, Toyoda K, Fujita Y, Nagashima K, Tanaka D, Inagaki N. Glycemic variability is associated with quality of life and treatment satisfaction in patients with type 1 diabetes. Diabetes Care. 2015 Jan;38(1):e1-2. doi: 10.2337/dc14-1801. No abstract available.

Reference Type: BACKGROUND

PMID: 25538320 (View on PubMed)

FLAT-SUGAR Trial Investigators. Glucose Variability in a 26-Week Randomized Comparison of Mealtime Treatment With Rapid-Acting Insulin Versus GLP-1 Agonist in Participants With Type 2 Diabetes at High Cardiovascular Risk. Diabetes Care. 2016 Jun;39(6):973-81. doi: 10.2337/dc15-2782. Epub 2016 Apr 19.

Reference Type: BACKGROUND

PMID: 27208320 (View on PubMed)

Marso SP, Daniels GH, Brown-Frandsen K, Kristensen P, Mann JF, Nauck MA, Nissen SE, Pocock S, Poulter NR, Ravn LS, Steinberg WM, Stockner M, Zinman B, Bergenstal RM, Buse JB; LEADER Steering Committee; LEADER Trial Investigators. Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes. N Engl J Med. 2016 Jul 28;375(4):311-22. doi: 10.1056/NEJMoa1603827. Epub 2016 Jun 13.

Reference Type: BACKGROUND

PMID: 27295427 (View on PubMed)

Brown SA, Kovatchev BP, Raghinaru D, Lum JW, Buckingham BA, Kudva YC, Laffel LM, Levy CJ, Pinsker JE, Wadwa RP, Dassau E, Doyle FJ 3rd, Anderson SM, Church MM, Dadlani V, Ekhlaspour L, Forlenza GP, Isganaitis E, Lam DW, Kollman C, Beck RW; iDCL Trial Research Group. Six-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes. N Engl J Med. 2019 Oct 31;381(18):1707-1717. doi: 10.1056/NEJMoa1907863. Epub 2019 Oct 16.

Reference Type: BACKGROUND

PMID: 31618560 (View on PubMed)

Hovorka R, Kumareswaran K, Harris J, Allen JM, Elleri D, Xing D, Kollman C, Nodale M, Murphy HR, Dunger DB, Amiel SA, Heller SR, Wilinska ME, Evans ML. Overnight closed loop insulin delivery (artificial pancreas) in adults with type 1 diabetes: crossover randomised controlled studies. BMJ. 2011 Apr 13;342:d1855. doi: 10.1136/bmj.d1855.

Reference Type: BACKGROUND

PMID: 21493665 (View on PubMed)

Kovatchev B, Anderson SM, Raghinaru D, Kudva YC, Laffel LM, Levy C, Pinsker JE, Wadwa RP, Buckingham B, Doyle FJ 3rd, Brown SA, Church MM, Dadlani V, Dassau E, Ekhlaspour L, Forlenza GP, Isganaitis E, Lam DW, Lum J, Beck RW; iDCL Study Group. Randomized Controlled Trial of Mobile Closed-Loop Control. Diabetes Care. 2020 Mar;43(3):607-615. doi: 10.2337/dc19-1310. Epub 2020 Jan 14.

Reference Type: BACKGROUND

PMID: 31937608 (View on PubMed)

Miller RG, Secrest AM, Sharma RK, Songer TJ, Orchard TJ. Improvements in the life expectancy of type 1 diabetes: the Pittsburgh Epidemiology of Diabetes Complications study cohort. Diabetes. 2012 Nov;61(11):2987-92. doi: 10.2337/db11-1625. Epub 2012 Jul 30.

Reference Type: BACKGROUND

PMID: 22851572 (View on PubMed)

Other Identifiers

941481

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

3-SRA-2023-1236-M-B

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

220180

Identifier Type: -

Identifier Source: org_study_id