Monitoring Intermittent Fasting for Human Optimization Using Wearable Technology: An N-of-1 Study

July 3, 2025 updated by: Dean Ho, Institute for Digital Medicine (WisDM)

Intermittent Fasting Monitoring for Human Optimization Utilizing Wearable Technology: an N-of-1 Prospective Study

There is a growing interest in personalized health strategies, including diet, exercise, and fasting regimens, to enhance metabolic fitness. Recent research indicates that intermittent fasting (IF) is useful not only for weight management, but also for energy production and improvement of metabolic well-being.

IF can potentially reduce systemic inflammation and help to prevent chronic diseases. IF research can also help athletes sustain performance during fasting periods. This prospective study aims to investigate the effects of a human optimization program on an individual's metabolic health and overall well-being.

This research examines the correlations between continuous glucose monitoring, ketone measurement, exercise routines, heat/cold interventions, diet, supplements and intermittent fasting patterns. The study involves a single participant -the principal investigator- who will adhere to a personalized regimen involving wearable monitoring of metabolic changes, training and intermittent fasting. This research seeks to understand the potential relationships between these factors, contributing to the emerging knowledge on individualized health optimization.

Study Overview

Study Type

Interventional

Enrollment (Actual)

1

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Singapore, Singapore, 117456
        • The Institute for Digital Medicine (WisDM)

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • The principal investigator is the sole participant in this N-of-1 trial: a healthy individual with no chronic diseases or conditions affecting metabolic health.

Exclusion Criteria:

  • The principal investigator is the sole participant in this N-of-1 trial.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Basic Science
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Personalized Health Intervention Arm
This arm involves the the single participant following a personalized regimen that includes intermittent fasting, exercise routines, heat/cold interventions, diet modifications, and supplementation. The participant will engage in continuous monitoring of metabolic changes using wearable technology, continuous glucose monitoring, and ketone measurements, along with blood, saliva, and stool lab tests. The goal is to assess the effects of these interventions on metabolic health and overall well-being, identifying potential trends and correlations throughout the study period.
Ketone and blood glucose monitoring with Abbott Optium Neo up to 10 times per day to observe GKI dynamics for gamification of adherence.
Monitoring with an Abbott Freestyle Libre to observe glucose dynamics for gamification of adherence.
Grip strength measurements, right and left hand, up to 20 readings per day per hand.
All Apple Watch 9 and Whoop data daily [heart rate variability (HRV), resting heart rate, cardio recovery, sleep duration, composition (stages of sleep) and analogous scores, potential maximum rate of oxygen consumption attainable during physical exertion (VO2 max), basal metabolic rate and potential respiratory rate].
Pre- and Post-fast (48h) testing of lipid panel, ApoB, ApoA1, CRP, interleukin panel, omega 3:6 ratio, and autophagy analysis. Potential CBC, renal and liver panels to be taken where appropriate.
15 g of stool will be collected from the subject pre- and post-fast for microbiome assessment and pre- and post- the first week (the "three meal phase"). After the first week, the maximum number of tests is four per month (maximum of two fasts, with a pre- and post-fast test for each fast).
Saliva samples will be collected from the subject pre- and post-fast for microbiome assessment. Maximum number of tests is four per month (maximum of two fasts, with a pre- and post-fast test for each fast).
90 minutes of strength and/or cardiovascular training for a minimum of 5 days per week.

Cold plunge: at least 3 days per week, 2 sessions of maximum 5 minutes each (minimum 2 minutes between sessions) at a minimum of 6 degrees Celsius. Potential inclusion of GKI measurements before and after plunge.

Heat Therapy: maximum of 2 sessions of 20 minutes each of dry sauna blanket (minimum 5 minutes break between sessions) following the cold plunge intervention.

Airofit is a smart breathing training device designed to improve respiratory strength and efficiency. It is used for enhancing sport performance, well-being, and overall health. The device works by providing adjustable resistance to breathing muscles.

5-10 minutes of daily use.

Minimum of 18 hours fasting per day, with feeding window to occur between 5pm-8pm or 12pm-3pm. The fasting procedures will occur only after the Three Meal Phase.
48h fasting maximum twice monthly, at least one week apart. Multivitamin and electrolytes with water, and black coffee or tea (0-calorie drinks) will be consumed.The fasting procedures will occur the Three Meal Phase.
During the first week of the study, the participant will follow a regime of three meals per day.

Regimen of Mediterranean-inspired nutrition comprised of Olive Oil, Olives, Leafy Green Vegetables, Lean Protein (Beef, Chicken, Lamb, Pork, Duck, Salmon, Tuna), Chia Seeds, Pecans, Macadamia, Pumpkin Seeds, Walnuts, Greek Yogurt, Salt, Pepper, Paprika, Cumin, Garlic powder, onion powder; Fruit: Blueberry, Grapefruit; Carbohydrates: Rolled Oats; Hydration: Water, Black Coffee, Black Tea, Coke Zero and 100 Zero sparingly, Ultima electrolytes.

Photographs of meals will be taken to create a visual record of the diet followed. Photographs of the devices will be taken to create a visual record of the blood glucose and ketone concentration results.

Multivitamin (Centrum), Vitamin D (Up to 2000 IU per day), Creatine (Up to 2000mg), Fisetin (1 pill), Omega-3 (1 tablet), Turmeric, Pre-Probiotic, Blueberry Extract, Holy Basil Extract.
Feeding ketone data, glucose data (from finger prick and/or CGM), any/all Apple Watch Data, and dietary images into a generative AI platform to convert data into images using any selected prompts, with the intent of the images serving as immediate, visual readouts as a function of activity and/or inactivity.
Three interviews, of 30-60 minutes each one, at baseline, end of three meal phase and end of study, to gain insights into the participant's experience. Exploration of daily routines including diet, exercise and the use of technology and aspects of a healthy lifestyle.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Metabolic biomarker analysis: total cholesterol levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of total cholesterol: milligrams per deciliter (mg/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: low density lipoprotein (LDL) cholesterol levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of LDL cholesterol: milligrams per deciliter (mg/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: high density lipoprotein (HDL) cholesterol levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of HDL cholesterol: milligrams per deciliter (mg/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: triglycerides levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of triglycerides: milligrams per deciliter (mg/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: apolipoprotein B (ApoB) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of apolipoprotein B (ApoB): milligrams per deciliter (mg/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: apolipoprotein A1 (ApoA1) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of apolipoprotein A1 (ApoA1): milligrams per deciliter (mg/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: C reactive protein (CRP) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of C reactive protein (CRP): milligrams per liter (mg/L)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: interleukin 1β (IL- 1β) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of IL- 1β: picograms per milliliter (pg/mL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: interleukin 6 (IL- 6) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of IL-6: picograms per milliliter (pg/mL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: interleukin 8 (IL- 8) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of IL-8: picograms per milliliter (pg/mL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: interleukin 10 (IL- 10) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of IL-10: picograms per milliliter (pg/mL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: interleukin 12 (IL- 12) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of IL-12: picograms per milliliter (pg/mL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: interleukin 17 (IL- 17) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of IL-17: picograms per milliliter (pg/mL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: omega 3:6 ratio
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of omega 3:6 ratio (no specific units)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Microtubule-associated protein 1A/1B-light chain 3 (LC3) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of autophagy biomarker LC3: Nanograms per milliliter (ng/mL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Sequestosome 1 (p62/SQSTM1) levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of autophagy biomarker p62/SQSTM1: Nanograms per milliliter (ng/mL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Beclin-1 levels
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood testing of autophagy biomarker Beclin-1: Nanograms per milliliter (ng/mL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Red Blood Cells (RBCs)
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Red Blood Cells (RBCs): Million cells per microliter (million/µL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: White Blood Cells (WBCs)
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
White Blood Cells (WBCs): Thousand cells per microliter (thousand/µL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Hemoglobin (Hb)
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Hemoglobin (Hb): Grams per deciliter (g/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Hematocrit (Hct)
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Hematocrit (Hct): Percentage (%)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Platelets (PLT)
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Platelets (PLT): Thousand cells per microliter (thousand/µL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Blood Urea Nitrogen (BUN)
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Blood Urea Nitrogen (BUN): Milligrams per deciliter (mg/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Creatinine
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Creatinine: Milligrams per deciliter (mg/dL) Estimated Glomerular Filtration Rate (eGFR): Milliliters per minute per 1.73 square meters (mL/min/1.73m²) Sodium: Milliequivalents per liter (mEq/L) Potassium: Milliequivalents per liter (mEq/L) Chloride: Milliequivalents per liter (mEq/L)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Estimated Glomerular Filtration Rate (eGFR)
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Estimated Glomerular Filtration Rate (eGFR): Milliliters per minute per 1.73 square meters (mL/min/1.73m²)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Sodium
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Sodium: Milliequivalents per liter (mEq/L)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Potassium
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Potassium: Milliequivalents per liter (mEq/L)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Chloride
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Chloride: Milliequivalents per liter (mEq/L)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Alanine Aminotransferase (ALT)
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Alanine Aminotransferase (ALT): Units per liter (U/L)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Aspartate Aminotransferase (AST)
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Aspartate Aminotransferase (AST): Units per liter (U/L) Alkaline Phosphatase (ALP): Units per liter (U/L) Total Bilirubin: Milligrams per deciliter (mg/dL) Albumin: Grams per deciliter (g/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Alkaline Phosphatase (ALP)
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Alkaline Phosphatase (ALP): Units per liter (U/L)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Total Bilirubin
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Total Bilirubin: Milligrams per deciliter (mg/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Metabolic biomarker analysis: Albumin
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Albumin: Grams per deciliter (g/dL)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Microbial diversity
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Stool/saliva analysis of microbial diversity: Shannon diversity index (no specific units)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Taxonomic abundance
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Stool/saliva analysis of taxonomic abundance: reads per million (RPM)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Concentrations of metabolites
Time Frame: Pre and post 48 hour fasts (2 fasts per month for 12 months)
Stool/saliva analysis of concentrations of metabolites: Micromoles per liter (µmol/L)
Pre and post 48 hour fasts (2 fasts per month for 12 months)
Glycemic and ketone monitoring for adherence assessment
Time Frame: 10 times per day for up to 12 months
Glucose-Ketone Index (GKI): A calculated value derived from dividing the blood glucose level (in mmol/L) by the ketone level (in mmol/L).
10 times per day for up to 12 months
Wearable health metrics analysis for physiological monitoring
Time Frame: Daily for up to 12 months
Apple Watch 9 and Whoop data [heart rate variability (HRV), resting heart rate, cardio recovery, sleep duration, composition (stages of sleep) and analogous scores, potential maximum rate of oxygen consumption attainable during physical exertion (VO2 max), basal metabolic rate and potential respiratory rate].
Daily for up to 12 months
Artificial intelligence (AI)-enhanced visual data representation for activity monitoring
Time Frame: Once a month for up to 12 months
Feeding ketone data, glucose data, any/all wearable data, and dietary images into a generative AI platform to convert data into images using any selected prompts, with the intent of the images serving as immediate, visual readouts as a function of activity and/or inactivity.
Once a month for up to 12 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Qualitative assessment of participant experience
Time Frame: Day one, day 8, at study completion (12 months)
This outcome involves conducting interviews with the participant to gather qualitative data on the experiences, challenges, and adherence related to the dietary and exercise interventions throughout the study. The interviews aim to provide insights into the participant's perceptions of the interventions, their effects on metabolic health and overall well-being, and any adjustments needed for optimal adherence and outcomes.
Day one, day 8, at study completion (12 months)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Dean Ho, PhD, The Institute for Digital Medicine (WisDM)

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 7, 2024

Primary Completion (Actual)

June 7, 2025

Study Completion (Actual)

July 2, 2025

Study Registration Dates

First Submitted

September 30, 2024

First Submitted That Met QC Criteria

October 3, 2024

First Posted (Actual)

October 8, 2024

Study Record Updates

Last Update Posted (Actual)

July 4, 2025

Last Update Submitted That Met QC Criteria

July 3, 2025

Last Verified

July 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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