Prediction model construction of postprandial glycemic responses based on gut microbiome and other personal parameters in Japanese subjects.
- Conditions
- Healthy person
- Registration Number
- JPRN-UMIN000042507
- Lead Sponsor
- Vorpal Technologies K.K
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up complete
- Sex
- All
- Target Recruitment
- 57
Not provided
1.Individuals diagnosed with type 1 diabetes mellitus 2.Individuals using super rapid-acting insulin 3.Individuals who have taken antibiotics within the past 3 months (1 month for external medicine) or who are scheduled to take antibiotics during the study period 4.Pregnant or possibly pregnant women 5.Individuals who have received fertility treatment within the past 3 months 6.Individuals who received chemotherapy or radiotherapy within the past 2 years 7.Individuals with active cancer 8.Individuals with chronic gastrointestinal disease 9.Individuals who have undergone gastrectomy or colorectal resection 10.Individuals with severe anemia of Hb <10mg/dL 11.Individuals who are unable to use the food logging application on smartphone or tablet for food logging 12.Individuals who are unable to wear CGM, and will be unable to wear for 2 weeks continuously 13.Other persons considered inappropriate by the physician-in-charge
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Algorithm analysis with dietary records, personal data (questionnaire), blood glucose data, and gut microbiome data.
- Secondary Outcome Measures
Name Time Method