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Obesity, Iron Regulation and Colorectal Cancer Risk

Obesity, Iron Regulation and Colorectal Cancer Risk

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03548948
Enrollment
17
Registered
2018-06-07
Start date
2015-07-15
Completion date
2019-06-30
Last updated
2019-09-27

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

Conditions

Colon Inflammation, Diet Modification, Iron Malabsorption, Obesity

Brief summary

Obesity is an independent risk factor for colorectal cancer (CRC) although the underlying mechanisms have not been elucidated. Dietary nutrients play a key role in both the prevention and promotion of CRC. While iron is an essential nutrient, excess iron is associated with carcinogenesis. Unlike the systemic compartment, the intestinal lumen lacks an efficient system to regulate iron. In conditions when dietary iron malabsorption and intestinal inflammation co-exist, greater luminal iron is associated with increased intestinal inflammation and a shift in the gut microbiota to more pro-inflammatory strains. However, treatments designed to reduce luminal, including diet restriction and chelation, are associated with lower intestinal inflammation and the colonization of protective gut microbes. Obesity is associated with inflammation-induced, hepcidin-mediated, iron metabolism dysfunction characterized by iron deficiency and dietary iron malabsorption. Obesity is also linked to intestinal inflammation. Currently, there is a fundamental gap in understanding how altered iron metabolism impacts CRC risk in obesity. The investigator's objective is to conduct a crossover controlled feeding trial of: 1) a Typical American diet with high heme/non-heme iron, 2) a Typical American diet with low iron, and 3) a Mediterranean diet with high non heme iron and examine effects on colonic and systemic inflammation and the gut microbiome.

Interventions

OTHERHigh heme iron diet

A Typical American diet with high heme/non-heme iron (18 mg total). Diet is isocaloric and has a macronutrient composition of total fat 35%, carbohydrates 50%, protein 15% of calories and fiber 9g/1000 calories. Subjects consumes the diet for 3 weeks with a minimum 3 week washout before the next diet.

OTHERLow iron diet

A Typical American diet with low heme/non-heme iron (8 mg total). Diet is isocaloric and has a macronutrient composition of total fat 35%, carbohydrates 50%, protein 15% of calories and fiber 9g/1000 calories. Subjects consumes the diet for 3 weeks with a minimum 3 week washout before the next diet.

OTHERPlant-based high non-heme iron diet

A plant-based diet with high non-heme iron (18 mg total). Diet is isocaloric and has a macronutrient composition of total fat 35%, carbohydrates 50%, protein 15% of calories and fiber 9g/1000 calories. Subjects consumes the diet for 3 weeks with a minimum 3 week washout before the next diet.

Sponsors

American Cancer Society, Inc.
CollaboratorOTHER
University of Illinois at Chicago
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
OTHER
Masking
NONE

Intervention model description

1. Typical American Diet with high heme/non-heme iron (16 mg) 2. Typical American Diet with low iron (8 mg) 3. Plant-based Diet with high non-heme iron (16 mg)

Eligibility

Sex/Gender
FEMALE
Age
55 Years to 70 Years
Healthy volunteers
Yes

Inclusion criteria

* Self-identify as Hispanic, African American, or Caucasian. * Meet body mass index (BMI \> = 30.0 kg/m2) and C-reactive protein (CRP) criteria (\> 2.0 mg/dl) * Post-menopausal (no menstruation in the past 12 months) * Weight stable (\< 3% weight change in the past 3 months) * Non-smoker * No major medical problems * Have a working phone * No known allergies, intolerance, medical, secular or religious dietary restrictions

Exclusion criteria

* Chronic constipation (less than three stools per week for several months) * History or intestinal cancer, inflammatory bowel disease, celiac disease, or malabsorptive bariatric surgery * Previous intestinal surgery * H pylori infection or taking H2 blockers (e.g., Zantac, Pepcid) /antacids (e.g., Rolaids) more than 3 times per week * Significant blood loss or blood donation in past 3 months * Active gastrointestinal bleed * Any surgery in the past 3 months * Hemochromatosis * Sickle cell disease * Hereditary polyposis * Rheumatoid arthritis * Type I or Type II diabetes * Smoker * Antibiotic use in the past 2 months * Excessive alcohol consumption \[\> 2 standard alcoholic drinks (12 ounces of beer, 5 ounces of wine, 1 shot of hard liquor) per day\] * Aspirin use \>81 mg/day OR \>325 mg/every other day * Regularly taking probiotics, fiber supplements, Orlistat (over the counter brand name: Alli), or steroids (inhaled or oral)

Design outcomes

Primary

MeasureTime frameDescription
Change in colonic inflammationBaseline and post-diet (day 22) for each of the three 3-week dietsFecal calprotectin, a proxy for colon tissue inflammation, will be measured from stool an calprotectin immunoassay

Secondary

MeasureTime frameDescription
Change in systemic inflammationBaseline and post-diet (day 22) for each of the three 3-week dietsCirculating C-reactive protein, Interleukin-6 (IL-6) and Tumor necrosis factor-alpha (TNF-a) will be measured from serum using immunoassays.
Change in stool microbial community profile at the phylum and genus levelBaseline and post-diet (day 22) for each of the three 3-week dietsStool samples to analyze the composition of the microbiota, extracted bacterial genomic DNA will be used as a template for polymerase chain reactions targeting the V4 variable regions of the 16S ribosomal ribonucleic acid gene. Amplicons generated from polymerase chain reaction will be run on the Illumina MiSeq sequencing platform to profile microbial communities at the phylum and genus level.
Change in serum hepcidinBaseline and post-diet (day 22) for each of the three 3-week dietsSerum hepcidin will be measured using an immunoassay

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026