N=1 Trials of Individual Variability in Post-prandial Glycemic Responses to Diets of Varying Macronutrient Composition
Physiological, Biochemical and Gut Microbial Determinants of Individual Variability in Post-prandial Glycemic Response to Diets of Varying Macronutrient Composition- Towards Personalized Nutrition Through Aggregated N=1 Trials
1 other identifier
interventional
120
1 country
1
Brief Summary
The key objective of this study is to identify the most suitable diet (i.e. high protein, high fat, low GI, high GI) for an individual. Importantly, we further seek to identify the biological determinants of inter-individual variability and to understand how these determinants affect blood glucose. The deep metabolic phenotyping, multi-omics profiling of each subject and fine-mapping of their glycemic responses to different diets will allow us to obtain preliminary data on the mechanistic basis underlying inter-individual dietary glycemic response. Data from this study will form the basis of large clinical trials, the development of novel foods, and/or novel technologies to alter the gut micro-biome for optimal blood glucose control.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Sep 2020
Longer than P75 for not_applicable
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
September 3, 2020
CompletedFirst Submitted
Initial submission to the registry
May 23, 2022
CompletedFirst Posted
Study publicly available on registry
June 2, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 11, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedNovember 15, 2024
November 1, 2024
2.1 years
May 23, 2022
November 13, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Inter-individual differences in glycemic response to various meal types.
To quantify inter-individual differences in glycemic response to high carbohydrate-high glycemic index, high carbohydrate-low glycemic index, high-protein and high-fat diets using continuous glucose monitoring.
14 days
Secondary Outcomes (4)
Correlation of metagenomic profile to inter-individual glycemic response differences from various meal types.
14 days
Correlation of metabolome profile to inter-individual glycemic response differences from various meal types.
14 days
Correlation of sleep score quality to different glycemic responses from various meal types.
14 days
Correlation of number of step counts from physical activity to different glycemic responses from various meal types.
14 days
Study Arms (4)
High Protein Diet
EXPERIMENTALDiet consisting of 40% carbohydrate, 40% protein, 20% fat, with Glycemic Index \~55-65.
High Fat Diet
EXPERIMENTALDiet consisting of 40% carbohydrate, 40% fat (25% monounsaturated fatty acids), 20% protein, with Glycemic Index \~55-65.
High Carbohydrate-Low Glycemic Index Diet
EXPERIMENTALDiet consisting of 60% carbohydrate, 20% fat, 20% protein, with Glycemic Index \~45-50.
High Carbohydrate-High Glycemic Index Diet
PLACEBO COMPARATORDiet consisting of 60% carbohydrate, 20% fat, 20% protein.
Interventions
Subjects will be provided with high protein diet meals for breakfast, lunch, and dinner. A continuous glucose monitoring device will be used to measure post-prandial glycemic responses.
Subjects will be provided with high fat diet meals for breakfast, lunch, and dinner. A continuous glucose monitoring device will be used to measure post-prandial glycemic responses.
Subjects will be provided with high carbohydrate-low glycemic index diet meals for breakfast, lunch, and dinner. A continuous glucose monitoring device will be used to measure post-prandial glycemic responses.
Subjects will be provided with high carbohydrate-high glycemic index diet meals for breakfast, lunch, and dinner. A continuous glucose monitoring device will be used to measure post-prandial glycemic responses.
Eligibility Criteria
You may qualify if:
- Ability to give informed consent
- to 60 years of age (inclusive) at screening
- Race must be Chinese or Indian or Malay
- Overtly healthy males, as determined by medical history, physical examination and laboratory results within normal reference range for the population or investigator site, or results with acceptable deviations that are judged to be not clinically significant by the investigator
- Males with stable medical problems that, in the investigator's opinion, will not significantly alter the performance of the biomarker panel, will not place the subject at increased risk by participating in the study, and will not interfere with interpretation of the data.
- Not on any regular medications (western / traditional medicine)
- Nutritional supplements with established chemical composition that can be ascertained and clearly recorded is acceptable. Participants have to stop taking nutritional supplements at least 2 weeks before the start of study period.
- Reliable and willing to make themselves available for the duration of the study and are willing to follow study procedures.
You may not qualify if:
- Female
- A current smoker, or has smoked in the past 2 years
- History or presence of current lipid and cardiovascular disorders, respiratory, hepatic, renal, gastrointestinal, endocrine, lipid disorder, haematological, malignancy or neurological disorders capable of significantly altering the performance of the biomarker panel; or of interfering with the interpretation of data
- History of food allergies to test foods
- Regular use of medication that may affect glucose metabolism (e.g. steroids)
- History of type 1/type 2 diabetes and use of anti-diabetic medications in the past
- History of regular use of aspirin or vitamin C (both can affect glucose readings on CGM)
- Regularly use known drugs or abuse within 3 years
- Known or ongoing psychiatric disorders within 3 years
- Have donated blood of more than 500 mL within 4 weeks of study enrolment
- Have an average weekly alcohol intake that exceeds 21 units per week (males) and 14 units per week (females):
- unit = 12 oz or 360 mL of beer;
- oz or 150 mL of wine;
- oz or 45 mL of distilled spirits
- Uncontrolled hypertension (blood pressure \[BP\] \>160/100mmHg)
- +10 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
National University of Singapore
Singapore, Singapore, 118177, Singapore
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Mei Hui Liu
National University of Singapore
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- Participant will be blinded as to which diet they are receiving for each day of the 14-day study.
- Purpose
- PREVENTION
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Co-Investigator
Study Record Dates
First Submitted
May 23, 2022
First Posted
June 2, 2022
Study Start
September 3, 2020
Primary Completion
October 11, 2022
Study Completion
December 31, 2024
Last Updated
November 15, 2024
Record last verified: 2024-11
Data Sharing
- IPD Sharing
- Will not share