Skip to content

Time-restricted Eating Versus Daily Continuous Calorie Restriction on Body Weight and Colorectal Cancer Risk Markers

Effects of Time-restricted Eating Versus Daily Continuous Calorie Restriction on Body Weight and Colorectal Cancer Risk Markers Among Adults With Obesity

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05114798
Enrollment
194
Registered
2021-11-10
Start date
2022-05-17
Completion date
2027-03-31
Last updated
2026-07-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal Cancer, Obesity, Time Restricted Eating, Weight Loss

Brief summary

Approximately 42% of American adults are obese, and this condition is strongly related to the development of colorectal cancer. Innovative lifestyle strategies to treat obesity and reduce colorectal cancer risk are critically needed. This research will demonstrate that time-restricted eating, a type of intermittent fasting, is an effective therapy to help obese individuals reduce and control their body weight and prevent the development of colorectal cancer.

Detailed description

Approximately 42% of the U.S. adult population is obese and data suggests that persons with obesity are at a 30% greater risk of developing colorectal cancer (CRC). Therefore, efficacious approaches to preventing and treating obesity will have significant effects on CRC incidence in the U.S. Although calorie restriction through lifestyle intervention is the most common approach to treat obesity, clinically meaningful weight loss is difficult to achieve via this method due to low adherence with calorie monitoring, indicating a need for innovation. Time-restricted eating, a type of intermittent fasting, has been shown in animals to impart cancer protective effects including lower body weight, decreased systemic inflammation, and improved glucose metabolism. Time-restricted eating is where individuals are asked to consume all their food for the day within a specified time frame, and water fast for the remaining hours of the day. We recently performed two short-term (≤12-weeks) pilot studies of time-restricted eating to evaluate its safety and preliminary efficacy on body weight and chronic disease risk markers in adults with obesity. Our results show the intervention is a safe and acceptable approach to weight loss among obese adults. Moreover, time-restricted eating produced approximately 3% weight loss from baseline and reductions in systolic blood pressure, oxidative stress and insulin resistance. Although these pilot findings show promise for time-restricted eating as an effective tool for CRC risk reduction among obese individuals, these data still require confirmation by a well powered longer-term clinical trial. The present proposal aims to implement a 12-month (6-month intervention, 6-month maintenance) controlled, parallel arm trial among 255 obese adults (45-70 years old) who have had a colonoscopy. Subjects will be randomized to 1 of 3 groups: 1) 8-hour time-restricted eating (daily ad libitum food intake from 12pm - 8pm), 2) Calorie restriction (daily 25% calorie restriction), or 3) Control (daily ad libitum food intake, no meal timing restrictions) to compare the effects on: (1) Body weight, body composition, and intervention adherence; (2) Circulating metabolic, inflammation, and oxidative stress-related biomarkers; (3) Colonic mucosal gene expression profiles and mucosal inflammation, DNA damage and cellular growth; and (4) maintenance of benefits on body weight/composition and CRC markers.

Interventions

BEHAVIORALTime restricted eating

daily ad libitum food intake, 8-h 12pm - 8pm, 6 m active weight loss phase; 10-h 10am-8pm, 6 m maintenance phase

BEHAVIORALCalorie Restriction

daily 25% calorie restriction, 6 m active weight loss phase; 100% energy needs, 6 m maintenance phase

Sponsors

University of Illinois at Chicago
Lead SponsorOTHER
National Cancer Institute (NCI)
CollaboratorNIH

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Outcomes Assessor)

Intervention model description

Subjects will be randomized by the data manager, by way of a stratified random sample in 1:1:1 ratio. The sample frame will be divided into strata based on BMI, sex, and age. Subjects from each stratum, will then be randomized to 1 of 3 groups: 1) TRE, 2) Cal-R, or 3) Control.

Eligibility

Sex/Gender
ALL
Age
45 Years to 70 Years
Healthy volunteers
Yes

Inclusion criteria

1. 45-70 years old, 2. BMI 30-49.99 kg/m2 3. Are up to date with CRC screening.

Exclusion criteria

1. Have a history of renal disease, autoimmune disorders, immunodeficiency, malabsorptive disorder, significant gastrointestinal and hepatic disease, surgical change in gastrointestinal anatomy, severe ischemic heart disease, severe pulmonary disease, severe mental health disorder, eating disorder, or bariatric surgery; 2. Abuse alcohol (\> 50 grams/day), illicit drugs (other than self-reported marijuana use), or use combustible tobacco; 3. Have controlled type 2 diabetes or undiagnosed uncontrolled diabetes based on hemoglobin A1c (HbA1c) \> 9.0%; 4. Have a history of cancer treatment within the past 12 months, CRC, genetic predisposition to CRC (e.g., Lynch syndrome); 5. Have a baseline body weight \> 450 lbs (weight limitation of the DXA); 6. Are on a weight loss diet or actively involved in a formal weight loss program (e.g., Weight Watchers); 7. Are not weight stable for 3 months prior to the study (weight gain or loss \> 4 kg); 8. Are unable to keep a food diary for 7 consecutive days during screening; 9. Are night shift workers; 10. Are pregnant or trying to get pregnant; 11. Are taking drugs that influence study outcomes (weight loss medications); 12. Are non-English speaking 13. Are taking anticoagulant medications or medications with endoscopic risk 14. Are taking antivirals or immunosuppressant medications 15. Don't have regular access to an email address and computer/smartphone/tablet 16. Are currently following a diet that requires fasting on a weekly basis 17. Currently eat for less than 10 hours of the day (determined by asking participants what time they start and stop eating on a usual day)

Design outcomes

Primary

MeasureTime frameDescription
Weight change (% kg)Baseline to month 6Body weight in kg

Secondary

MeasureTime frameDescription
Total and regional body fat composition and distributionBaseline, 6 month and 12 monthTotal and regional body fat composition and distribution will be measured via whole body DEXA scan
Intervention adherenceMonthly, through month 6Measured through electronic diet records and 24 hour dietary recalls
Fasting serum glucoseBaseline, month 3, month 6, month 9, month 12From fasting venous blood measured by a commercial lab
Plasma cytokines TNF-α, IL-6, IL1-β, and IL-10, %Baseline, month 3, month 6, month 9, month 12Multiplex ELISA
Plasma 8-isoprostaneBaseline, month 3, month 6, month 9, month 12ELISA
Colonic mucosa gene expression profilingBaseline, month 6, month 12Commercially available targeted transcriptomics platform
Ki-67, proliferationBaseline, month 6, month 12Healthy colonic mucosa, immunohistochemistry
c-caspase-3, Bax, apoptosisBaseline, month 6, month 12Healthy colonic mucosa, immunohistochemistry,
CD3, CD163, pIKKa/b, tissue markers of inflammationBaseline, month 6, month 12Healthy colonic mucosa, immunohistochemistry
Weight maintenance (% kg)Month 6 to month 12Maintenance of weight loss
Fasting serum insulinBaseline, month 3, month 6, month 9, month 12From fasting venous blood measured at a commercial lab
HOMA-IRBaseline, month 3, month 6, month 9, month 12calculated from fasting glucose and insulin using a standard formula
Gut MicrobiomeBaseline, month 3 and month 6Shotgun metagenomics
Fecal MetabolitesBaseline, month 3 and month 6Untargeted Metabolomics
Saliva microbiotaBaseline, month 3, month 6Untargeted Metabolomics

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORLisa Tussing-Humphreys, PhD, MS, RD

University of Illinois at Chicago

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 22, 2026