Determining the Gut Microbiota-dependent Impacts of Anthocyanin-rich Aronia Berries on Obese Individuals of Distinct Inflammatory Phenotypes
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- Montana State University
- Enrollment
- 40
- Locations
- 1
- Primary Endpoint
- Postprandial Metabolomic Response to a High-fat Meal Challenge
Study Overview
Brief Summary
The overall goal of this project is to determine the inflammation lowering impact of anthocyanin-rich Aronia berries. Inflammation is an underlying mechanism driving the development of several diseases. While an elevation in immune signals in the systemic circulation is commonly attributed to adipose tissue, inflammation is not present in all obese individuals. Adipose tissue must become inflamed, and the inflammation trigger may come from other sources. Microorganisms (microbiome), host tissues, and immune cells residing in the gastrointestinal tract (GIT) are a key source of pro-inflammatory signals that may cause the host organism to become inflamed. Anthocyanins are bioactive compounds with established anti-inflammatory and microbiome altering properties. We hypothesize that the GIT microbiome is a key determinant of host inflammation than can be manipulated by anthocyanins-rich berries to lower inflammation. We assembled a cohort of individuals, characterized their GIT microbiome and performed anthropometric measurements, basal measures of metabolism and metabolic health, and triglyceridemic, metabolomic, and inflammation responses to a high-fat meal challenge.
Detailed Description
Anthropometrics. Measurements were collected from participants using the validated segmental multifrequency bioelectrical impedance analysis (SECA mBCA 515, Hamburg, Germany). Fat mass (%) and estimated visceral adipose (L) were used for analysis.
High-Fat Meal Challenge. The high-fat meal contained salted butter (58.3 g, Tillamook) over 3 pieces of whole wheat toast (127.5 g; Wheat Montana). Total energy content of the meal was 714 kcal, with 43.1% from fat, with a macronutrient breakdown of 50 g fat, 54 g carbohydrate, and 12 g protein. Water was provided with the meal; caffeinated black tea was provided instead for participants who identified as habitual coffee consumers.
Blood Sampling. Participants were instructed to avoid alcohol consumption and strenuous physical activity in the 24 hours before their visit and to complete an overnight fast (10 - 12 hours) before blood collection. Participant blood samples were collected by a certified nurse or physician in the morning before ingestion of the meal and hourly for 4 hours after meal ingestion, totaling five time points. Whole blood in serum separating tubes was allowed to clot for 15 minutes before centrifugation at 1200 RPM for 15 minutes with resulting serum aliquoted and stored at -80ºC until analysis.
Determination of blood markers. Blood markers of metabolic syndrome were determined from whole blood run on Picollo Xpress Chemistry Analyzer lipid panels (Abaxis, Union City, USA). Serum insulin (INS) was determined using an insulin ELISA kit (MP Biomedicals, Solon, OH) performed according to manufacturer instructions. Cytokine measurement was performed using high-sensitivity multiplexing technology (Bio-Rad Bio-Plex 200 HTS) following procedures by Millipore (EMD Millipore Corporation, Billerica, USA). Classic systemic pro-inflammatory cytokines were measured and include granulocyte macrophage colony stimulating factor (GM-CSF), interleukin (IL)-1B, IL-6, tumor necrosis factor (TNF)-α. InterleukinI-17 and IL-23, both of which serve a pro-inflammatory and regulatory role in the gut mucosa, were also measured. Serum samples at each time point during the high-fat meal challenge were run in duplicate.
Stool Sample Collection. Collection kits were provided and participants were asked to follow included instructions for the self-collection of a stool sample in the 24 hours before their blood collection visit. After initial collection into a sterile disposable commode, a small portion of the sample was transferred into a sterile Eppendorf tube and transported to researchers. Samples were prepared and aliquoted in an anaerobic chamber then frozen at -80ºC until analysis.
Study Design
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Parallel
- Primary Purpose
- Prevention
- Masking
- Single (Participant)
Masking Description
Placebo (PLA) was flavor, color, and carbohydrate matched to intervention treatment of Aronia juice. PLA consisted of 28.8 g black cherry Koolaid mix (no sugar added), 128.5 g sorbitol, 74.5 g glucose, 77.9 g fructose, 4 oz lemon juice, 16 drops of blue food coloring, and enough water to create 1 L of solution. Participants consumed 100 mL/ day.
Eligibility Criteria
- Ages
- 18 Years to 55 Years (Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •BMI 28-35 kg/m^2
Exclusion Criteria
- •Antibiotics up to 90 days prior to enrollment
- •Anti-inflammatory medications
- •Allergy or intolerance to wheat or dairy
- •Hormone-based birth control (with exception of intrauterine device)
- •Heart disease
- •Other health conditions or concerns that may interfere with study participation
Arms & Interventions
Aronia juice (ARO)
A juice blend of three different cultivars was used: Viking, MacKenzie and Autumn Magic. Raw juice was heat pasteurized before provided to participants. Participants consumed 100 mL of juice per day for duration of intervention period (28-30 days)
Intervention: Aronia berry juice (Dietary Supplement)
Placebo juice (PLA)
The placebo juice was flavor, color, and carbohydrate-matched to experimental Aronia juice. PLA consisted of 28.8 g black cherry Koolaid mix (no sugar added), 128.5 g sorbitol, 74.5 g glucose, 77.9 g fructose, 4 oz lemon juice, 16 drops of blue food coloring, and enough water to create 1 L of solution. Participants consumed 100 mL of juice per day for duration of intervention period (28-30 days)
Intervention: Sham comparator (Other)
Outcomes
Primary Outcomes
Postprandial Metabolomic Response to a High-fat Meal Challenge
Time Frame: 1 day
Serum metabolome before, 1, 2, 4, and 6 hours following consumption of a meal containing 50 g of fat (toast with butter)
Gut Metabolome
Time Frame: 1 day
Stool sample metabolome
Body composition
Time Frame: 1 day
Body composition (% fat, %lean)
Height
Time Frame: 1 day
Height (m)
Weight
Time Frame: 1 day
Weight (kg)
Lipid panel
Time Frame: 1 day
Fasting serum TG, LDL, HDL, and total cholesterol
Gut microbiome
Time Frame: 1 day
Taxonomic composition of the gut microbiome measured from 16s rRNA sequencing of stool samples
Postprandial Inflammation Response to a High-fat Meal Challenge
Time Frame: 1 day
Cytokine panel (IL-1B, IL-6, IL-10, IL-17, IL-23, TNF-a, GM-CSF, and IFNy) before, 1, 2, 4, and 6 hours following consumption of a meal containing 50 g of fat (toast with butter)
Glycemic control
Time Frame: 1 day
Hemoglobin A1c (% glycosylation)
Self-reported physical activity
Time Frame: 1 day
Self report of the number of days each week in which aerobic, strength, and stretching type exercises are performed
Inflammation state
Time Frame: 1 day
Serum levels of a eight cytokine panel: interleukin (IL)-1B, IL-6, IL-10, IL-17, IL-23, tumor necrosis factor-alpha (TNF-a), granulocyte macrophage-colony stimulating factor (GM-CSF), interferon gamma (IFNy)
Postprandial TG Response to a High-fat Meal Challenge
Time Frame: 1 day
TG concentrations before, 1, 2, 4, and 6 hours following consumption of a meal containing 50 g of fat (toast with butter)
Fasting glucose
Time Frame: 1 day
Fasting serum glucose (mM)
Fasting insulin
Time Frame: 1 day
Fasting serum insulin (pmol/l)
Fasting metabolites
Time Frame: 1 day
Serum metabolome measured after an overnight fast
Blood pressure
Time Frame: 1 day
Resting systolic and diastolic blood pressure (mmHg)
Visceral adipose tissue
Time Frame: 1 day
Volume of visceral adipose tissue (l)
Waist circumference
Time Frame: 1 day
Waist circumference (cm)
Secondary Outcomes
No secondary outcomes reported
