Pre DiabetesNCT03919877
Precision Diets for Diabetes Prevention
A study testing Dietary and Oral Food Challege in people with Pre Diabetes and Insulin Resistance, run by Stanford University at 1 site in United States.
Trial summary
With this study the investigators want to understand the physiological differences for people developing pre-diabetes and diabetes. The investigators hypothesize that different individuals go through different paths in the development of the disease. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Pre Diabetes, Insulin Resistance, Diabetes Mellitus, Type 2
- What is being tested?
- Dietary and Oral Food Challege
- Type of treatment
- Pill or oral medicine, Injection or infusion
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 115 participants
- Where
- 1 siteUnited States
- Study dates
- 24 May 2018to 18 Oct 2023
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
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 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Be 18 years of age or older;
- Not be pregnant, if female;
Who cannot join
- Have major organ disease, hypertension defined as >160/100, pregnant/lactating, diabetogenic medications, malabsorptive disorders like celiac sprue, others, heavy alcohol use, use of weight loss medications or specific diets, weight change > 2 kg in the last three weeks, history of bariatric surgery.
- Any medical condition that physicians believe would interfere with study participation or evaluation of results.
- Mental incapacity a nd/or cognitive impairment on the part of the patient that would preclude adequate understanding of, or cooperation with, the study protocol.
Trial locations and contacts
1 site in 1 country.
About this study
With this study the investigators want to understand the physiological differences for people developing pre-diabetes and diabetes. The investigators hypothesize that different individuals go through different paths in the development of the disease. By understanding the personal mechanism for developing disease, the investigators will find a personalized approach to prevent that development. The investigators are also hoping to be able to find a biomarker that will pinpoint to the particular defect and thus, diagnose the problem at an earlier stage and have the information to give personalized diet recommendations to prevent the development of diabetes more effectively.
Read the detailed description
At present, individuals with prediabetes or diabetes are grouped together as a single entity, but almost certainly they represent a mix of different gene-environment interactions that lead to one of four dominant physiologic mechanisms underlying their dysglycemia. 1- liver insulin resistance, 2- muscle insulin resistance, 3- impaired insulin secretion, 4- impaired incretin hormone secretion. Gaps that we are addressing here are extremely important - first, we will define a composite biomarker to identify different subphenotypes of prediabetes based on the four known physiologic mechanisms that contribute differentially in each individual to glucose elevations, which we hypothesize will also be reflected in their "glucotype". Importantly, because both continuous glucose monitor and administration of standardized meal testing and metabolic tests are not practical in the clinic, the development of a composite biomarker comprised of select multi-omics measures and clinical variables will enable clinicians and possibly patients (without clinician) to easily identify the specific diet that will yield optimal health results.
- Conditions
- Pre Diabetes, Insulin Resistance, Diabetes Mellitus, Type 2
- Being tested
- Dietary, Oral Food Challege
- Medical subject headings
- Glucose Intolerance, Insulin Resistance, Diabetes Mellitus, Type 2
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
DietaryOther
Dietary counseling based on results of CGM analyses.
Oral Food ChallegeOther
Participants ate a variety of foods, to assess their impact on blood sugars.
| Study group | Role | What they receive |
|---|---|---|
| Optimizing Diet for Glycemic Control | Other | Phase 1: Metabolic testing will include 3 metabolic tests:
1. The Oral Glucose Tolerance Test. The participant will wear the CGM while undergoing the OGTT + will be asked to repeat the test at home twice.
2. The Insulin Sensitivity Test (Steady State Plasma Glucose). This test is designed to measure how well cells remove glucose from the blood in response to insulin.
3. The Isoglycemic Intravenous Glucose Infusion (IIGI). This test is designed to measure the incretin hormone effect.
Phase 2: Participants follow their own diet while using the CGM. Participants are provided with 5-10 standardized foods to test during this phase.
Phase 3: Participants are provided with additional standardized foods and counseled to continue their own diet during this phase.
Phase 4: Participants are counseled on reducing or limiting the foods that caused glucose spikes and they are also counseled on macronutrient composition of their diet based on lipid profile. Receives: Other: Dietary; Other: Oral Food Challege |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change in Glycemic Control as Measured by Change Blood Sugar Values
Change in glycemic control measured from baseline through all phases of study, stratified according food type and metabolic sub-type. Glycemic control is derived from continuous glucose monitor (CGM) data and expressed in milligrams/deciliter.
Measured: Assessed at a meal (2 to 6 weeks after baseline), starting just prior eating, for a period of 3 hours
Area Under the Receiver Operating Characteristic (ROC) Curve - Classification of Metabolic Subphenotype
Classify metabolic subphenotype in individuals without diabetes using a machine learning algorithm applied to the glucose time-series response generated by a 16-point (blood draws) oral glucose tolerance testing (OGTT) done in the clinical research center and at home (using CGM). Participants were categorized as insulin sensitive (IS) if teady state plasma glucose (SSPG) was <120 mg dl-1 and insulin resistant (IR) if their SSPG was ≥120 mg dl-1. For this analysis, disposition index (DI) < 1.58 indicates dysfunctional β-cell function, whereas DI ≥ 1.58 indicates normal β-cell function.
Measured: Baseline (Day 1)
Secondary outcomes (1)
Change in Area Under the Curve (AUC) of Blood Glucose Level
Measured from baseline through all phases of study, from continuous glucose monitor (CGM) data, and stratified according food type and metabolic sub-type.
Measured: Assessed at a meal (2 to 6 weeks after baseline), starting just prior eating, for a period of 3 hours
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Apr 2019
- Study start24 May 2018
- Primary completion18 Oct 2023
- Study completion18 Oct 2023
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.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Pre DiabetesStudies of the same condition, open and under way.
- More trials run by Stanford UniversityThe sponsor's other registered studies.
- 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
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 115 participants (actual)
Sponsor and investigators
- Lead sponsor
- Stanford University
- Sponsor type
- University, hospital or other
- Collaborators
- National Human Genome Research Institute (NHGRI)
- Responsible party
- Principal investigator, Michael Snyder, Stanford University
- Investigators
- Michael P Snyder, PhD, Principal investigator, Stanford UniversityTracey McLaughlin, MD, Principal investigator, Stanford University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03919877
- Sponsor's protocol ID
- 43883
- Other IDs
- 5RM1HG007735-09
- Status last verified
- Apr 2026
- First submitted
- 20 Dec 2018
- Last updated
- 22 May 2026
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Wu Y, Ehlert B, Metwally AA, Perelman D, Park H, Brooks AW, Abbasi F, Michael B, Celli A, Bejikian C, Ayhan E, Lu Y, Lancaster SM, Hornburg D, Ramirez L, Bogumil D, Pollock S, Wong F, Bradley D, Gutjahr G, Rangan ES, Wang T, McGuire L, Venkat Rangan P, Raeder H, Shipony Z, Lipson D, McLaughlin T, Snyder MP. Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology. Nat Med. 2025 Jul;31(7):2232-2243. doi: 10.1038/s41591-025-03719-2. Epub 2025 Jun 4.
PubMed 40467897Metwally AA, Perelman D, Park H, Wu Y, Jha A, Sharp S, Celli A, Ayhan E, Abbasi F, Gloyn AL, McLaughlin T, Snyder MP. Prediction of metabolic subphenotypes of type 2 diabetes via continuous glucose monitoring and machine learning. Nat Biomed Eng. 2025 Aug;9(8):1222-1239. doi: 10.1038/s41551-024-01311-6. Epub 2024 Dec 23.
PubMed 39715896Park H, Metwally AA, Delfarah A, Wu Y, Perelman D, Mayer C, McGinity C, Rodgar M, Celli A, McLaughlin T, Mignot E, Snyder M. High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes. NPJ Digit Med. 2025 Jun 11;8(1):352. doi: 10.1038/s41746-025-01728-6.
PubMed 40500312
Study at a glance
From the registry record, last updated by the sponsor on 22 May 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Precision Diets for Diabetes Prevention
- ClinicalTrials.gov ID
- NCT03919877
- Acronym / sponsor ID
- 43883
- Conditions
- Pre Diabetes, Insulin Resistance, Diabetes Mellitus, Type 2
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 115 participants (actual)
- Lead sponsor
- Stanford UniversityUniversity, hospital or other
- Collaborators
- National Human Genome Research Institute (NHGRI)
- Study start
- 24 May 2018 (actual)
- Primary completion
- 18 Oct 2023 (actual)
- Study completion
- 18 Oct 2023 (actual)
- First posted
- 18 Apr 2019 (actual)
- Results
- Posted 22 May 2026
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
With this study the investigators want to understand the physiological differences for people developing pre-diabetes and diabetes. The investigators hypothesize that different individuals go through different paths in the development of the disease. By understanding the personal mechanism for developing disease, the investigators will find a personalized approach to prevent that development. The investigators are also hoping to be able to find a biomarker that will pinpoint to the particular defect and thus, diagnose the problem at an earlier stage and have the information to give personalized diet recommendations to prevent the development of diabetes more effectively.
Detailed description
At present, individuals with prediabetes or diabetes are grouped together as a single entity, but almost certainly they represent a mix of different gene-environment interactions that lead to one of four dominant physiologic mechanisms underlying their dysglycemia. 1- liver insulin resistance, 2- muscle insulin resistance, 3- impaired insulin secretion, 4- impaired incretin hormone secretion. Gaps that we are addressing here are extremely important - first, we will define a composite biomarker to identify different subphenotypes of prediabetes based on the four known physiologic mechanisms that contribute differentially in each individual to glucose elevations, which we hypothesize will also be reflected in their "glucotype". Importantly, because both continuous glucose monitor and administration of standardized meal testing and metabolic tests are not practical in the clinic, the development of a composite biomarker comprised of select multi-omics measures and clinical variables will enable clinicians and possibly patients (without clinician) to easily identify the specific diet that will yield optimal health results.
Study design
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Optimizing Diet for Glycemic Control | Other | Other: Dietary, Other: Oral Food ChallegePhase 1: Metabolic testing will include 3 metabolic tests: 1. The Oral Glucose Tolerance Test. The participant will wear the CGM while undergoing the OGTT + will be asked to repeat the test at home twice. 2. The Insulin Sensitivity Test (Steady State Plasma Glucose). This test is designed to measure how well cells remove glucose from the blood in response to insulin. 3. The Isoglycemic Intravenous Glucose Infusion (IIGI). This test is designed to measure the incretin hormone effect. Phase 2: Participants follow their own diet while using the CGM. Participants are provided with 5-10 standardized foods to test during this phase. Phase 3: Participants are provided with additional standardized foods and counseled to continue their own diet during this phase. Phase 4: Participants are counseled on reducing or limiting the foods that caused glucose spikes and they are also counseled on macronutrient composition of their diet based on lipid profile. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- Be 18 years of age or older;
- Not be pregnant, if female;
Key exclusion criteria (3 listed)
- Have major organ disease, hypertension defined as >160/100, pregnant/lactating, diabetogenic medications, malabsorptive disorders like celiac sprue, others, heavy alcohol use, use of weight loss medications or specific diets, weight change > 2 kg in the last three weeks, history of bariatric surgery.
- Any medical condition that physicians believe would interfere with study participation or evaluation of results.
- Mental incapacity a nd/or cognitive impairment on the part of the patient that would preclude adequate understanding of, or cooperation with, the study protocol.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| DietaryDietary counseling based on results of CGM analyses. | Other | Optimizing Diet for Glycemic Control |
| Oral Food ChallegeParticipants ate a variety of foods, to assess their impact on blood sugars. | Other | Optimizing Diet for Glycemic Control |
Primary outcome
Change in Glycemic Control as Measured by Change Blood Sugar Values
Time frame: Assessed at a meal (2 to 6 weeks after baseline), starting just prior eating, for a period of 3 hours
Change in glycemic control measured from baseline through all phases of study, stratified according food type and metabolic sub-type. Glycemic control is derived from continuous glucose monitor (CGM) data and expressed in milligrams/deciliter.
Area Under the Receiver Operating Characteristic (ROC) Curve - Classification of Metabolic Subphenotype
Time frame: Baseline (Day 1)
Classify metabolic subphenotype in individuals without diabetes using a machine learning algorithm applied to the glucose time-series response generated by a 16-point (blood draws) oral glucose tolerance testing (OGTT) done in the clinical research center and at home (using CGM). Participants were categorized as insulin sensitive (IS) if teady state plasma glucose (SSPG) was <120 mg dl-1 and insulin resistant (IR) if their SSPG was ≥120 mg dl-1. For this analysis, disposition index (DI) < 1.58 indicates dysfunctional β-cell function, whereas DI ≥ 1.58 indicates normal β-cell function.
1 secondary outcome
Change in Area Under the Curve (AUC) of Blood Glucose Level
Time frame: Assessed at a meal (2 to 6 weeks after baseline), starting just prior eating, for a period of 3 hours
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 22 May 2026.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Results publication: PubMed 40467897Wu Y, Ehlert B, Metwally AA, Perelman D, Park H, Brooks AW, Abbasi F, Michael B, Celli A, Bejikian C, Ayhan E, Lu Y, Lancaster SM, Hornburg D, Ramirez L, Bogumil D, Pollock S, Wong F, Bradley D, Gutjahr G, Rangan ES, Wang T, McGuire L, Venkat Rangan P, Raeder H, Shipony Z, Lipson D, McLaughlin T, Snyder MP. Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology. Nat Med. 2025 Jul;31(7):2232-2243. doi: 10.1038/s41591-025-03719-2. Epub 2025 Jun 4.
- Results publication: PubMed 39715896Metwally AA, Perelman D, Park H, Wu Y, Jha A, Sharp S, Celli A, Ayhan E, Abbasi F, Gloyn AL, McLaughlin T, Snyder MP. Prediction of metabolic subphenotypes of type 2 diabetes via continuous glucose monitoring and machine learning. Nat Biomed Eng. 2025 Aug;9(8):1222-1239. doi: 10.1038/s41551-024-01311-6. Epub 2024 Dec 23.
- Derived from this study: PubMed 40500312Park H, Metwally AA, Delfarah A, Wu Y, Perelman D, Mayer C, McGinity C, Rodgar M, Celli A, McLaughlin T, Mignot E, Snyder M. High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes. NPJ Digit Med. 2025 Jun 11;8(1):352. doi: 10.1038/s41746-025-01728-6.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Michael P Snyder, PhD principal investigator
Stanford University
Tracey McLaughlin, MD principal investigator
Stanford University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Dietary and Oral Food Challege in people with Pre Diabetes and Insulin Resistance, run by Stanford University at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 22 May 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 22 May 2026). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change in Glycemic Control as Measured by Change Blood Sugar Values (time frame: Assessed at a meal (2 to 6 weeks after baseline), starting just prior eating, for a period of 3 hours). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03919877, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 22 May 2026; AzTrials last refreshed its copy on 26 Oct 2026.