Continuous Glucose MonitoringNCT05337098
Non-Nutritive Sweetener Consumption and Glucose Homeostasis in Older Adults With Prediabetes
A study testing Non-Nutritive Sweetener Intake and impact on glucose homeostasis in people with Continuous Glucose Monitoring and Oral Glucose Tolerance, run by Virginia Polytechnic Institute and State University at 1 site in United States.
Trial summary
Animal and observational research in humans suggest that specific types of non-nutritive sweeteners (NNS) may impair glycemic control. However, whether NNS consumption impacts glucose homeostasis in middle-aged/older adults with prediabetes is unknown, and potential mechanisms by which this could occur have yet to be… Read more about this study
- Who is it for?
- Ages 40 years and older
- Conditions the study is for
- Continuous Glucose Monitoring, Oral Glucose Tolerance, Insulin Sensitivity
- What is being tested?
- Non-Nutritive Sweetener Intake and impact on glucose homeostasis
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 31 participants
- Where
- 1 siteUnited States
- Study dates
- 18 Apr 2023to 28 Feb 2026
- Phase
- Interventional
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 40 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age 40+ years
- Prediabetic (fasting glucose concentration of 100-125 mg/dL, 2-hour oral glucose tolerance test glucose concentration of 140-199 mg/dL, or a HbA1c value of 5.7% to 6.4%)
- Weight stable for previous 6 months (±2 kg)
- BMI <40 kg/m2
- Sedentary to recreationally active
- No plans to gain/lose weight or change physical activity level
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- Willing to pick up food daily and consume foods provided for an 8-week period
- Verbal and written informed consent
- Approval by Medical Director
- Consume less than one serving of non-nutritive sweetener per week
Who cannot join
- BMI >40 kg/m2
- Diabetes or diabetes medication
- Antibiotic, prebiotic or prebiotic use in prior 3 months
- Uncontrolled hypertension (blood pressure (BP) > 159/99 mmHg)
- Diagnosed inflammatory bowel disease
- Past or current heart diseases, stroke, respiratory disease, endocrine or metabolic disease, or hematological-oncological disease
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- Vegetarian or vegan
- Pregnant or plans to become pregnant
- Breastfeeding
- Food allergies or aversions, Phenylketonuria (PKU)
- Estrogen or testosterone usage
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Non-Nutritive Sweetener Consumption (Aspartame and Sucralose) and Glucose Homeostasis in Older Adults With Prediabetes
Animal and observational research in humans suggest that specific types of non-nutritive sweeteners (NNS) may impair glycemic control. However, whether NNS consumption impacts glucose homeostasis in middle-aged/older adults with prediabetes is unknown, and potential mechanisms by which this could occur have yet to be identified. The overall objective of this R21 proposal is to establish proof-of-concept for alterations in glucose homeostasis following intake of sucralose, but not aspartame, in middle-aged/older adults with prediabetes compared to a eucaloric diet with no NNS.
Read the detailed description
Observational research has linked intake of non-nutritive sweeteners (NNS), which are consumed daily by ~50% of middle-aged/older U.S. adults, with increased risk of type 2 diabetes (T2D). This risk may be exacerbated by advancing age, which is associated with low-grade chronic inflammation and increased risk of T2D. Current T2D prevention recommendations related to NNS usage are unclear and confusing; use as an alternative to added sugar intake is suggested but long-term NNS use is discouraged despite minimal research to support this recommendation. Animal and observational human studies suggest detrimental effects of some NNS on glucose homeostasis. Longer-term human studies largely demonstrate null findings. Differences in study design and a lack of rigor in existing research contribute to inconclusive findings. In addition, NNS are often studied as a single entity yet types of NNS vary in their absorption and metabolism (e.g., the two most commonly consumed NNS, sucralose and aspartame). Whether NNS consumption impacts glucose homeostasis in middle-aged/older adults with prediabetes is unknown, and potential mechanisms by which this could occur have yet to be identified. The overall objective of this R21 proposal is to establish proof-of-concept for alterations in glucose homeostasis following intake of sucralose, but not aspartame, in middle-aged/older adults with prediabetes compared to a eucaloric diet with no NNS. We will investigate changes in inflammatory markers as potential mechanisms by which sucralose intake influences glucose homeostasis. Following a 2-week eucaloric lead-in diet, 30 middle-aged/older adults (40+ yrs) with prediabetes will be randomly assigned to 1 of 3 controlled feeding conditions for 6 weeks (10 participants per group): sucralose, aspartame, or a control group (no NNS). Standardized diets will be matched for macronutrients (50% carbohydrate, 35% fat, 15% protein) and other variables to avoid the potential confounds of weight change and dietary factors which may influence study outcomes (e.g., added sugars). All groups will receive identical diets, other than the additional NNS for the two NNS groups. 24-hr glycemic control using continuous glucose monitoring and insulin sensitivity and beta cell function via oral glucose tolerance test (OGTT), serum endotoxin, and inflammatory cytokines, including C-reactive protein, will be measured before and following the 6-week dietary treatment period. This research may have clinical practice and policy implications by informing U.S. dietary guidelines and guidelines for T2D prevention, which devote minimal attention to NNS and provide unclear guidance on NNS use due largely to a lack of rigorously-designed controlled feeding trials.
- Conditions
- Continuous Glucose Monitoring, Oral Glucose Tolerance, Insulin Sensitivity, Inflammatory Markers
- Being tested
- Non-Nutritive Sweetener Intake and impact on glucose homeostasis
- Medical subject headings
- Insulin Resistance
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Non-Nutritive Sweetener Intake and impact on glucose homeostasisOther
Provision of either aspartame, sucralose, or control with no non-nutritive sweeteners to a controlled feeding study to determine impacts on glucose homeostasis.
| Study group | Role | What they receive |
|---|---|---|
| Aspartame | Active comparator | Controlled feeding study. Dosage of aspartame will follow 25% of the acceptable daily intake (equivalent to 12.5 mg/kg for aspartame). This amount represents 750 mg/day of aspartame for a 60 kg adult. Receives: Other: Non-Nutritive Sweetener Intake and impact on glucose homeostasis |
| Sucralose | Active comparator | Controlled feeding study. Dosage of sucralose will follow 25% of the acceptable daily intake (equivalent to 1.25 mg/kg for sucralose). This amount represents 75 mg/day of sucralose for a 60 kg adult. Receives: Other: Non-Nutritive Sweetener Intake and impact on glucose homeostasis |
| No NNS | Sham comparator | Controlled feeding study with no non-nutritive sweeteners. Receives: Other: Non-Nutritive Sweetener Intake and impact on glucose homeostasis |
What is being measured
The primary outcome is the main question the study is designed to answer.
Continuous Glucose Monitoring AUC
mg*hr/dL of glucose via continuous glucose monitoring (Area under the curve, AUC). Participants wore a CGM device for 7 consecutive days prior to pre-intervention testing and 7 consecutive days prior to post-intervention testing. Interstitial glucose concentrations were recorded every 5 minutes.The AUC was measured prior to beginning the controlled feeding for 1 week (during the lead-in phase) and during the last week of the controlled feeding intervention. This was not measured for a certain time frame "post-dose".
Measured: Pre-intervention CGM AUC was measured for 7 days (last week of 2 week lead in) prior to being randomized into the 4 week intervention. Post-intervention CGM AUC was measured for 7 days during the last week of the 4 week intervention.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 Apr 2022
- Study start18 Apr 2023
- Primary completion28 Feb 2026
- Study completion28 Feb 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Other trials for Continuous Glucose MonitoringStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Triple blind
- Who is masked
- Participant, Investigator, Outcomes assessor
- Enrolment
- 31 participants (actual)
Sponsor and investigators
- Lead sponsor
- Virginia Polytechnic Institute and State University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Valisa Hedrick, PhD, Principal investigator, Virginia Polytechnic Institute and State University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05337098
- Sponsor's protocol ID
- 1R21AG075344-01
- Status last verified
- Sep 2026
- First submitted
- 4 Mar 2022
- Last updated
- 24 Sep 2026
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: De-identified study data will be posted to Virginia Tech's data repository, VTechData (https:// data.lib.vt.edu/). Datasets selected for sharing will be made accessible through VTechData, managed by the University Libraries at Virginia Tech. VTechData highlights, preserves, and provides access to data generated at Virginia Tech. The system relies on item/dataset level metadata as the primary building block to data discovery, access, and reuse. Published datasets are to be made accessible for at least five years.