Beta Cell Function in Type 2 Diabetes: Differential Effects of SGLT2 Inhibitors and GLIP-Receptor Agonists
Beta
2 other identifiers
interventional
60
1 country
1
Brief Summary
Minorities have higher rates of diabetes, poorer glucose control, and higher complications and mortality rates than white people. Several recently approved diabetes medicines improve cardiovascular and renal outcomes through two different mechanisms. This study will explore key determinants of blood glucose levels namely beta cell function after short-term randomized, parallel group treatment with FDA approved Glucagon-Like Peptide-1 Receptor Agonists¬ (GLP-1 RA), or FDA approved Sodium-Glucose co-Transporter-2 Inhibitor (SGLT-2i). Because diabetes in black people shows a unique ability to recover pancreatic insulin secretion, it is important to determine whether the effects of these drug classes differentially improve pancreatic beta cell function.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for phase_4
Started Dec 2024
Longer than P75 for phase_4
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 21, 2024
CompletedFirst Submitted
Initial submission to the registry
December 18, 2025
CompletedFirst Posted
Study publicly available on registry
January 8, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
June 30, 2028
January 8, 2026
January 1, 2026
3 years
December 18, 2025
January 6, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in Stimulated C-peptide Index during an Oral Glucose Tolerance Test is a measure of Beta Cell Function and will be measuresd at baseline and at 16 weeks after treatment with GLP-1 Receptor Agonist or SGLT2-Inhibitor
Primary Outcome Measure: The stimulated c-peptide index a primary outcome measure and is measured at baseline and 16 weeks. Change in the stimulated c-peptide index is the 16 week value minus the baseline. Higher numbers of the c-peptide index indicate better beta cell function while lower numbers indicated worse beta cell function. The stimulated c-peptide index is a calculated ratio of the c-peptide (ng/ml) to glucose levels (mg/dl) used to assess pancreatic beta cell function. It is calculated as the incremental area under the curve (AUC) of plasma C-peptide divided by the incremental AUC of plasma glucose (∆C-peptide 0-120/∆ Glucose 0-120). The outcome measure of plasma c-peptide (ng/ml) and plasma glucose (mg/dl), during the OGTT (after an overnight fast) at -15, 0, 10, 30, 45, 60, 90 and 120 minutes are combined into one primary outcome variable.
Baseline, 16 weeks
Secondary Outcomes (2)
1 . Title: Change in Glycemic Control Measured at Baseline and 16 Weeks of Treatment with GLP-1 receptor Agonist or SGLT-2 Inhibitors
Baseline, 16 weeks
Change in Body Weight from Baseline and 16 Weeks of Treatment with GLP-1 receptor Agonist or SGLT-2 inhibitors
Baseline, 16 weeks
Study Arms (2)
GLP1-RA
ACTIVE COMPARATORWe will examine the effect of GLP-1 RA on pancreatic beta cell function as measured by insulin, C-peptide and glucose serum concentrations during OGTT.
SGLT-2i
ACTIVE COMPARATORWe will examine the effect of SGLT-2i on pancreatic beta cell function as measured by insulin, C-peptide and glucose serum concentrations during OGTT
Interventions
SGLT-2 inhibitors block the SGLT-2 receptor
GLP-1 RAs stimulate the GLP-1 Receptor
Eligibility Criteria
You may qualify if:
- Agrees to participate (signs and dates the informed consent) and agrees to all study procedures and conditions of the protocol.
- Black (self-identified) patients with relatively recent onset (\< 15 years) DM2
- aged \>= 24 years of age (adults \< age 24 years old need additional resources to consistently participate, and may have different metabolism)
- HbA1c between 6.9% and 10%, inclusive
- BMI \> 23 and \< 45 kg/m2, and stable body weight over 2 months
You may not qualify if:
- Currently taking no diabetes medication or on stable doses (2 months) of metformin or metformin plus sulfonylureas without additional diabetes medication(s).
- Ability to take and agree to taking oral medication and to self-inject
- For persons of reproductive potential: negative pregnancy test, use of effective contraception for at least 1 month prior to screening, and agreement to use such a method during study participation, and for an additional 4 weeks after completing the use of the study drug. They will be counseled that if they wish to become pregnant, they should follow the standard practice of optimizing their blood glucose in preparation for pregnancy. Use of these study drugs are not considered standard of care for diabetes during pregnancy. Effective contraception includes tubal ligation, hysterectomy, oral, implanted or injected contraceptives, mechanical (IUD) and barriers (diaphragm, condoms, spermicides) methods.
- Agreement to adhere to Lifestyle Considerations (see section 5.3) throughout the study, including following a diabetic diet and maintaining a physical activity program
- Poor general health, low kidney function (eGFR \< 45), abnormal liver blood tests (AST and ALT \> 3 times the ULN, Bilirubin 2 x ULN), serious cardiovascular, liver or renal disease, known proliferative retinopathy, type 1 diabetes, pancreatitis or pancreas cancer, medullary thyroid cancer, MEN2 (or family history of MEN2), current low hematocrit (\< 35% for men and 33% for women, frailty, at risk for falls, current (past six months) alcohol or substance use disorder, history of a non-traumatic bone fracture, amputation, organ transplant, HIV or COVID, or if the patient cannot complete study activities.
- Current regular use of DDP-4 inhibitors, insulin or GLP-1 RA or SGLT2-inhibitors
- Currently pregnant, planned pregnancy in the next 7 months or nursing/lactating.
- Known allergic reactions to either the study medication
- Treatment with another investigational drug or other intervention within 4 months, or plan to enroll in another interventional study during their participation in this study
- Planned major surgery
- Recent (within 6 months): MI, Stroke, Cerebrovascular accident or unstable angina or revascularization procedures, grade 3 or 4 heart failure
- Use of weight loss medication, weight loss surgery.
- Use of glucocorticoids for chronic illness within 8 weeks prior to screening or likely to begin glucocorticoids during study period
- Study doctor considers subject a poor study candidate
- Cancer - History of active or untreated malignancy or in remission from a clinically significant malignancy for \< 5 years; exception: basal cell carcinoma of the skin.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- MaryAnn Banerjilead
- The New York Community Trustcollaborator
Study Sites (1)
SUNY Downstate Health Sciences University
Brooklyn, New York, 11203, United States
Related Publications (11)
McGill JB, Subramanian S. Safety of Sodium-Glucose Co-Transporter 2 Inhibitors. Am J Cardiol. 2019 Dec 15;124 Suppl 1:S45-S52. doi: 10.1016/j.amjcard.2019.10.029.
PMID: 31741440BACKGROUNDAli AM, Mari A, Martinez R, Al-Jobori H, Adams J, Triplitt C, DeFronzo R, Cersosimo E, Abdul-Ghani M. Improved Beta Cell Glucose Sensitivity Plays Predominant Role in the Decrease in HbA1c with Cana and Lira in T2DM. J Clin Endocrinol Metab. 2020 Oct 1;105(10):dgaa494. doi: 10.1210/clinem/dgaa494.
PMID: 32745202BACKGROUNDMari A, Nielsen LL, Nanayakkara N, DeFronzo RA, Ferrannini E, Halseth A. Mathematical modeling shows exenatide improved beta-cell function in patients with type 2 diabetes treated with metformin or metformin and a sulfonylurea. Horm Metab Res. 2006 Dec;38(12):838-44. doi: 10.1055/s-2006-956505.
PMID: 17163361BACKGROUNDMari A, Schmitz O, Gastaldelli A, Oestergaard T, Nyholm B, Ferrannini E. Meal and oral glucose tests for assessment of beta -cell function: modeling analysis in normal subjects. Am J Physiol Endocrinol Metab. 2002 Dec;283(6):E1159-66. doi: 10.1152/ajpendo.00093.2002. Epub 2002 Aug 6.
PMID: 12388151BACKGROUNDMari A, Tura A, Gastaldelli A, Ferrannini E. Assessing insulin secretion by modeling in multiple-meal tests: role of potentiation. Diabetes. 2002 Feb;51 Suppl 1:S221-6. doi: 10.2337/diabetes.51.2007.s221.
PMID: 11815483BACKGROUNDRasouli N, Younes N, Utzschneider KM, Inzucchi SE, Balasubramanyam A, Cherrington AL, Ismail-Beigi F, Cohen RM, Olson DE, DeFronzo RA, Herman WH, Lachin JM, Kahn SE; GRADE Research Group. Association of Baseline Characteristics With Insulin Sensitivity and beta-Cell Function in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) Study Cohort. Diabetes Care. 2021 Feb;44(2):340-349. doi: 10.2337/dc20-1787. Epub 2020 Dec 17.
PMID: 33334808BACKGROUNDDefronzo RA. Banting Lecture. From the triumvirate to the ominous octet: a new paradigm for the treatment of type 2 diabetes mellitus. Diabetes. 2009 Apr;58(4):773-95. doi: 10.2337/db09-9028. No abstract available.
PMID: 19336687BACKGROUNDBanerji MA, Chaiken RL, Huey H, Tuomi T, Norin AJ, Mackay IR, Rowley MJ, Zimmet PZ, Lebovitz HE. GAD antibody negative NIDDM in adult black subjects with diabetic ketoacidosis and increased frequency of human leukocyte antigen DR3 and DR4. Flatbush diabetes. Diabetes. 1994 Jun;43(6):741-5. doi: 10.2337/diab.43.6.741.
PMID: 8194658BACKGROUNDBanerji MA, Chaiken RL, Lebovitz HE. Long-term normoglycemic remission in black newly diagnosed NIDDM subjects. Diabetes. 1996 Mar;45(3):337-41. doi: 10.2337/diab.45.3.337.
PMID: 8593939BACKGROUNDHakim O, Bonadonna RC, Mohandas C, Billoo Z, Sunderland A, Boselli L, Alberti KGMM, Peacock JL, Umpleby AM, Charles-Edwards G, Amiel SA, Goff LM. Associations Between Pancreatic Lipids and beta-Cell Function in Black African and White European Men With Type 2 Diabetes. J Clin Endocrinol Metab. 2019 Apr 1;104(4):1201-1210. doi: 10.1210/jc.2018-01809.
PMID: 30407535BACKGROUNDBanerji MA, Chaiken RL, Gordon D, Kral JG, Lebovitz HE. Does intra-abdominal adipose tissue in black men determine whether NIDDM is insulin-resistant or insulin-sensitive? Diabetes. 1995 Feb;44(2):141-6. doi: 10.2337/diab.44.2.141.
PMID: 7859931BACKGROUND
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Mary Ann Banerji, MD
SUNY DOwnstate Health Sciences Center, Brooklyn, New York 11203
Study Design
- Study Type
- interventional
- Phase
- phase 4
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Professor of Medicine, Endocrinologist
Study Record Dates
First Submitted
December 18, 2025
First Posted
January 8, 2026
Study Start
December 21, 2024
Primary Completion (Estimated)
December 31, 2027
Study Completion (Estimated)
June 30, 2028
Last Updated
January 8, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share
IRB approval is not for data sharing.