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Discovering Determinants of Food Intake by Application of Artificial Intelligence to Complex, High-Dimensional Data

Discovering Determinants of Food Intake by Application of Machine Learning to Complex, High-Dimensional Data

Background:

Many people in the United States are overweight or obese. Researchers want to learn why some people can overeat and not gain weight, whereas others who do not overeat still gain weight.

Objective:

To study factors related to food intake that can lead to weight gain over time.

Eligibility:

Healthy adults aged 18 to 60 years.

Design:

Participants will have 6 to 8 clinic visits over 2 years. The first 3 or 4 study visits will be 1 week apart.

Procedures during visits may include the following:

Collection of blood, hair, urine, and stool samples.

Measurement of the waist, neck, thighs, and other parts of the body.

Dual energy x-ray absorption (DXA) scan: Participants will lie still on a padded table while they are scanned to measure body fat.

Physical activity monitor: Participants will wear a monitor on the wrist for 2 weeks.

Cognitive tests: Participants will perform tasks to measure attention, memory, and brain function.

Continuous glucose monitor. Participants will wear a device that measures their blood glucose for 1 week.

Mixed meal test and stomach emptying test. Participants will drink a breakfast shake and swallow a dose of acetaminophen. Blood will be drawn over the next 4 hours.

Resting metabolic rate: Participants will wear a clear hood over their head while they rest for 20 minutes. The hood will measure the gases they breathe.

Breakfast and lunch test. Participants will eat a standard breakfast. They will be allowed to select from foods and eat as much as they like at lunch. They will be asked how hungry or full they are.

Questionnaires. Participants will answer questions about their health, sleep, physical activity, and eating.

Studie Overzicht

Toestand

Nog niet aan het werven

Conditie

Gedetailleerde beschrijving

Study Description:

The study will be an outpatient study with 6-7 total visits, 3-4 completed at baseline and 3 follow-up visits, occurring over 2 years. We will collect broad, multiscale data (e.g., clinical, genetic, microbiome, energy expenditure, physical activity, psychosocial). Then, we will apply artificial intelligence algorithms with the goal of identifying novel determinants of food intake.

Objectives:

Primary Objective:

To identify novel determinants of objectively measured ad libitum energy intake using broad, multiscale data.

Secondary Objectives:

  1. To investigate whether determinants of ad libitum energy intake predict changes in weight, adiposity, and markers of metabolic health.
  2. To determine associations of metabolic measures with psychosocial, hormonal, or other metabolic markers
  3. To identify novel determinants of ad libitum self-reported energy and nutrient intake

Endpoints:

Primary Endpoint: Energy intake during ad libitum meal test, including total energy and macronutrient specific energy intake (e.g., carbohydrate, fat, protein) measured during the initial baseline period (visit 3). The potential determinants (broad multiscale data) will be collected during visits 1, 2, and 3.

Secondary Endpoints:

  1. Measures at 0.5, 1, and 2 years of body weight, BMI, fat mass, body fat percentage, HbA1c, and fasting glucose, lipids, insulin, and c-peptide.
  2. Psychosocial measures (visits 1-6), metabolic measures (e.g., fasting glucose, HbA1c, lipids, insulin, and c-peptide), resting metabolic rate, total energy expenditure, and physical activity
  3. Energy and nutrient intake from ASA-24. The potential determinants (broad multiscale data) will be collected during visits 1, 2, and 3.

Studietype

Observationeel

Inschrijving (Geschat)

800

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studiecontact

Studie Contact Back-up

Studie Locaties

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

  • Volwassen

Accepteert gezonde vrijwilligers

Nee

Bemonsteringsmethode

Kanssteekproef

Studie Bevolking

800 males and females, age 18-60 years who are in good health

Beschrijving

  • INCLUSION CRITERIA:

To be eligible to participate in this study, an individual must meet all the following criteria:

  1. Stated willingness to comply with all study procedures and availability for the duration of the study
  2. Age 18 to 60
  3. In good general health as evidenced by medical history and physical exam

EXCLUSION CRITERIA:

An individual who meets any of the following criteria will be excluded from participation in this study:

  1. Weight >=204 kg (>=450 pounds, maximum weight of the iDXA machine as per manufacturer s manual), or weight <45.4 kg (<100 pounds, minimum weight allowed based on the NIH guidelines of blood drawing for research purposes)
  2. Unstable weight (+/-5%) within past 6 months as determined by volunteer self-report.
  3. Current use of medications, dietary supplements, or alternative therapies known to alter energy metabolism
  4. Inability to consume provided food based on food allergy or intolerance or other food restrictions (e.g., kosher, vegan, or vegetarian)
  5. Current pregnancy, or recent pregnancy within past 6 months or currently lactating
  6. History or clinical manifestation of:

6i. Diabetes, including fasting glucose >= 126 mg/dl or HbA1c >= 6.5%, or history

6ii. Surgery for treatment of obesity

6iii. Endocrine disorders, such as Cushing s disease, pituitary disorders, or hypo- and hyperthyroidism (TSH <0.1 or >= 10 uIU/mL)

6iv. Pulmonary disorders including chronic obstructive pulmonary disease or other lung disease that which would limit ability to follow the protocol

6v. History of coronary artery disease, heart failure, arrhythmias, and peripheral artery disease that which would limit ability to follow the protocol

6vi. Liver disease, including cirrhosis, active hepatitis B or C based on history, and AST or ALT >= 3x normal

6vii. Gastrointestinal disease including Crohn's disease, ulcerative colitis, celiac disease, or other malabsorptive disorders by history

6viii. Hematologic disorders including significant anemia (male hemoglobin < 13.0 g/dL or female hemoglobin < 11.0 g/dL)

6ix. Renal disease including abnormal kidney function (eGFR <60 mL/min/1.73m^2)

6x. Central nervous system disease, including cerebrovascular accidents, dementia, and neurodegenerative disorders by history

6xi. Cancer requiring treatment in the past 5 years, except for nonmelanoma skin cancers or cancers that have clearly been cured

6xii. Infectious disease such as active tuberculosis, HIV (by self-report), chronic coccidiomycosis or other chronic infections that might influence appetite

6xiii. Diagnosis of binge eating disorder, anorexia, or major psychiatric disorders including depression, schizophrenia, and psychosis

6xiv. Menopausal transition (late) to early postmenopause (e.g., >= 2 skipped cycles and an interval of amenorrhea >= 60 days and <12 months)

7. Alcohol abuse as defined by >= 8-point score on the Alcohol Use Disorders Identification Test (AUDIT) questionnaire interview

8. Inability to provide informed consent

9. Any disorder, unwillingness, or inability not specifically mentioned above may serve as criteria for exclusion at the discretion of the investigators, such as those that jeopardize the safety of the participant or others, or would interfere with completion of study procedures

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

Cohorten en interventies

Groep / Cohort
1
800 males and females, age 18-60 years who are in good health

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
To identify novel determinants of objectively measured ad libitum energy intake using broad, multiscale data.
Tijdsspanne: 24-28 months
Energy intake during ad libitum meal test, including total energy and macronutrient specific energy intake (e.g., carbohydrate, fat, protein) measured during the initial baseline period (visit 3). The potential determinants (broad multiscale data) will be collected during visits 1, 2, and 3.
24-28 months

Secundaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
To investigate whether determinants of ad libitum energy intake predict changes in weight, adiposity, and markers of metabolichealth
Tijdsspanne: 24-48 months
Measures at 0.5, 1, and 2 years of body weight, BMI, fat mass,body fat percentage, HbA1c, and fasting glucose, lipids, insulin,and c-peptide.
24-48 months
To determine associations of metabolic measures with psychosocial, hormonal, or other metabolic markers
Tijdsspanne: 24-48 months
Psychosocial measures (visits 1-6), metabolic measures (e.g., fasting glucose, HbA1c, lipids, insulin, and c-peptide), resting metabolic rate, total energy expenditure, and physical activity
24-48 months
To identify novel determinants of ad libitum self-reported energy and nutrient intake
Tijdsspanne: 24-28 months
Energy and nutrient intake from ASA-24. The potential determinants (broad multiscale data) will be collected during visits 1, 2, and 3
24-28 months

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Sponsor

Onderzoekers

  • Hoofdonderzoeker: Susanne M Votruba, Ph.D., National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

Publicaties en nuttige links

De persoon die verantwoordelijk is voor het invoeren van informatie over het onderzoek stelt deze publicaties vrijwillig ter beschikking. Dit kan gaan over alles wat met het onderzoek te maken heeft.

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Geschat)

23 september 2026

Primaire voltooiing (Geschat)

1 juli 2037

Studie voltooiing (Geschat)

1 juli 2037

Studieregistratiedata

Eerst ingediend

9 juni 2026

Eerst ingediend dat voldeed aan de QC-criteria

9 juni 2026

Eerst geplaatst (Werkelijk)

10 juni 2026

Updates van studierecords

Laatste update geplaatst (Werkelijk)

18 september 2026

Laatste update ingediend die voldeed aan QC-criteria

17 september 2026

Laatst geverifieerd

26 juni 2026

Meer informatie

Termen gerelateerd aan deze studie

Andere studie-ID-nummers

  • 10001858
  • 001858-DK

Plan Individuele Deelnemersgegevens (IPD)

Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?

ONBESLIST

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

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