Gut-level Antiinflammatory Activities of Green Tea in Metabolic Syndrome
Primary Purpose
Dysbiosis, Endotoxemia, Metabolic Syndrome
Status
Completed
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Green Tea Extract
Placebo
Sponsored by
About this trial
This is an interventional prevention trial for Dysbiosis focused on measuring Green tea, Gut barrier function, Gut dysbiosis, Inflammation, Metabolic endotoxemia, Metabolic syndrome, Microbiome
Eligibility Criteria
Inclusion criteria:
Individuals with ≥3 of the following established criteria for metabolic syndrome:
- Fasting glucose 100-126 mg/dL
- Waist circumference >89/>102 cm for females/males
- HDL-C <50/<40 mg/dL for females/males
- Triglyceride >150 mg/dL
- Blood pressure >130/85 mmHg
Healthy adults:
- Body weight 19-25 kg/m2
- Fasting glucose <100 mg/dL
- HDL-C >50/>40 mg/dL for females/males
- Triglyceride <150 mg/dL
- Blood pressure <120/80 mmHg
Exclusion criteria:
- Concurrent tea consumption
- Use of dietary supplements, prebiotics, or probiotics
- Use of antibiotics or antiinflammatory agents
- History of liver disease, cardiovascular disease, hypertension (blood pressure >140/90 mmHg), or cancer
- History of gastrointestinal disorders, chronic diarrhea, or surgeries
- Hemochromatosis
- Parkinson's disease
- Use of medications to manage diabetes, hypertension, or hyperlipidemia
- Use of antipsychotic medications [Clozapine, lithium, Diazepam]
- Use of blood thinning medications [Warfarin]
- Use of high blood pressure medications [nadolol]
- Use of monoamine oxidase inhibitors [selegiline]
- Alcohol consumption >2 drinks/d
- Smoking tobacco
- Vegetarian
- Pregnancy, lactation, or recent changes in birth control use for women
Sites / Locations
- The Ohio State University
Arms of the Study
Arm 1
Arm 2
Arm Type
Experimental
Placebo Comparator
Arm Label
Green Tea
Placebo
Arm Description
Participants consuming gummy confections with catechin-rich green tea extract daily for 4 weeks
Participants consuming matched gummy confections formulated without green tea extract daily for 4 weeks
Outcomes
Primary Outcome Measures
Change in metabolic endotoxemia
Serum endotoxin concentration (EU/mL) will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Secondary Outcome Measures
Gastrointestinal permeability
Lactulose/mannitol ratio will be measured in urine collected 0-5 h post-ingestion to assess small intestinal permeability. Sucralose (%) will be measured in urine collected 0-24 h post-ingestion to assess colonic permeability. Between-treatment differences will be measured in MetS vs. healthy individuals.
Plasma inflammatory biomarker: C-reactive protein
Plasma concentration (mg/L) of C-reactive protein will be measured at the end of each treatment. Between-treatment differences will be measured in MetS vs. healthy individuals.
Plasma inflammatory biomarkers: interleukin-6, interleukin-8, and tumor necrosis factor alpha
Plasma concentrations (pg/mL) of interleukin-6, interleukin-8, and tumor necrosis factor alpha will be measured individually at the end of each treatment. Between-treatment differences will be measured in MetS vs. healthy individuals.
Plasma inflammatory biomarker: myeloperoxidase
Plasma concentration (ng/mL) of myeloperoxidase will be measured at the end of each treatment. Between-treatment differences will be measured in MetS vs. healthy individuals.
Pro-inflammatory gene expression from peripheral blood mononuclear cells
Relative expression of toll-like receptor 4, myeloid differentiation factor 88, p65 subunit of NF-kappa B, interleukin-6, interleukin-8, tumor necrosis factor alpha, and monocyte chemoattractant protein-1 will be measured individually at the end of each treatment. Between-treatment differences will be measured in MetS vs. healthy individuals.
Intestinal inflammatory biomarker: calprotectin
Fecal concentration (μg/g) of calprotectin will be measured in samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Intestinal inflammatory biomarker: myeloperoxidase
Fecal concentration (ng/g) of myeloperoxidase will be measured in samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Changes in plasma catechins and their metabolites
Plasma concentrations (nmol/L) of epigallocatechin gallate, epicatechin gallate, epigallocatechin, epicatechin, gamma-valerolactones, and catechin-derivates will be measured individually at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Fecal catechins and their metabolites
Fecal concentrations (μmol/kg) of epigallocatechin gallate, epicatechin gallate, epigallocatechin, epicatechin, gamma-valerolactones, and catechin-derivates will be measured individually in samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Fecal short-chain fatty acids
Fecal concentrations (mmol/kg) of butyrate, acetate, propionate, isobutyric acid, and isovaleric acid will be measured individually in samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Gut microbiota diversity indices
Gut microbiota diversity indices (Shannon species and Chao1) will be measured in fecal samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Gut microbiota Firmicutes/Bacteroidetes ratio
Gut microbiota Firmicutes/Bacteroidetes ratio will be measured in fecal samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Gut microbiota relative abundance
Gut microbiota relative abundance (% order, genus, and species level) will be measured in fecal samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Gut microbiota function proportions
Gut microbiota function proportions (%) based on microbial genome analysis will be measured in fecal samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Change in plasma glucose
Plasma concentration (mg/dL) of glucose will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Change in plasma insulin
Plasma concentration (μIU/mL) of insulin will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Change in plasma lipids
Plasma concentrations (mg/dL) of triglyceride and HDL-cholesterol will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Changes in serum alanine transaminase and aspartate transaminase
Serum concentrations (U/L) of alanine transaminase and aspartate transaminase will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Changes in serum creatinine and blood urea nitrogen
Serum concentrations (U/L) of creatinine and blood urea nitrogen will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Change in blood hematocrit
Blood hematocrit (%) will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Full Information
NCT ID
NCT03973996
First Posted
May 30, 2019
Last Updated
December 16, 2021
Sponsor
Ohio State University
Collaborators
USDA Beltsville Human Nutrition Research Center
1. Study Identification
Unique Protocol Identification Number
NCT03973996
Brief Title
Gut-level Antiinflammatory Activities of Green Tea in Metabolic Syndrome
Official Title
Gut-level Antiinflammatory Activities of Green Tea in Metabolic Syndrome
Study Type
Interventional
2. Study Status
Record Verification Date
December 2021
Overall Recruitment Status
Completed
Study Start Date
July 1, 2019 (Actual)
Primary Completion Date
March 1, 2021 (Actual)
Study Completion Date
March 1, 2021 (Actual)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Ohio State University
Collaborators
USDA Beltsville Human Nutrition Research Center
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No
5. Study Description
Brief Summary
This study evaluates dietary green tea extract to improve gut health and inflammation in persons with metabolic syndrome and healthy adults. Participants will complete two phases of intervention in random order in which they will consume green tea extract or placebo for one month and then switch to the opposite treatment for an additional month.
Detailed Description
Tea is the most abundantly consumed prepared beverage in the world. Green tea, containing catechins, exerts antiinflammatory activities. However, a fundamental gap exists concerning its intestinal-level targets that can prevent metabolic syndrome (MetS) development and progression. Studies in obese rodents indicate that green tea inhibits nuclear factor kappa-light-chain-enhancer of activated B cells (NFκB) activation by limiting gut-derived endotoxin translocation to the portal circulation and decreasing hepatic Toll-like receptor-4 (TLR4) pro-inflammatory signaling. The objective of this clinical investigation is to establish evidence-based recommendations for green tea, based on improvements in endotoxemia and restored gut barrier function, that promote optimal health. The hypothesis is that green tea catechins function to limit metabolic endotoxemia by ameliorating gut dysbiosis-mediated inflammation that otherwise provokes intestinal permeability. This will be tested by conducting a double-blind, placebo-controlled, randomized-order, crossover trial in MetS and healthy persons to examine the efficacy of green tea on metabolic endotoxemia. Each treatment will be one-month in duration and separated by a washout period. The anticipated outcomes are expected to be of significance, because they will advance a dietary strategy to help avert MetS complications attributed to metabolic endotoxemia by establishing antiinflammatory prebiotic and antimicrobial bioactivities of catechins that promote intestinal health.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Dysbiosis, Endotoxemia, Metabolic Syndrome, Inflammation
Keywords
Green tea, Gut barrier function, Gut dysbiosis, Inflammation, Metabolic endotoxemia, Metabolic syndrome, Microbiome
7. Study Design
Primary Purpose
Prevention
Study Phase
Not Applicable
Interventional Study Model
Crossover Assignment
Masking
ParticipantInvestigator
Allocation
Randomized
Enrollment
40 (Actual)
8. Arms, Groups, and Interventions
Arm Title
Green Tea
Arm Type
Experimental
Arm Description
Participants consuming gummy confections with catechin-rich green tea extract daily for 4 weeks
Arm Title
Placebo
Arm Type
Placebo Comparator
Arm Description
Participants consuming matched gummy confections formulated without green tea extract daily for 4 weeks
Intervention Type
Dietary Supplement
Intervention Name(s)
Green Tea Extract
Other Intervention Name(s)
Camellia sinesis plant extract
Intervention Description
A gummy confection with catechin-rich green tea extract (1 g/d)
Intervention Type
Dietary Supplement
Intervention Name(s)
Placebo
Intervention Description
A matched gummy confection formulated without green tea extract
Primary Outcome Measure Information:
Title
Change in metabolic endotoxemia
Description
Serum endotoxin concentration (EU/mL) will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 0, 14, and 28 of the 28-day intervention
Secondary Outcome Measure Information:
Title
Gastrointestinal permeability
Description
Lactulose/mannitol ratio will be measured in urine collected 0-5 h post-ingestion to assess small intestinal permeability. Sucralose (%) will be measured in urine collected 0-24 h post-ingestion to assess colonic permeability. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 28 of the 28-day intervention
Title
Plasma inflammatory biomarker: C-reactive protein
Description
Plasma concentration (mg/L) of C-reactive protein will be measured at the end of each treatment. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 28 of the 28-day intervention
Title
Plasma inflammatory biomarkers: interleukin-6, interleukin-8, and tumor necrosis factor alpha
Description
Plasma concentrations (pg/mL) of interleukin-6, interleukin-8, and tumor necrosis factor alpha will be measured individually at the end of each treatment. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 28 of the 28-day intervention
Title
Plasma inflammatory biomarker: myeloperoxidase
Description
Plasma concentration (ng/mL) of myeloperoxidase will be measured at the end of each treatment. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 28 of the 28-day intervention
Title
Pro-inflammatory gene expression from peripheral blood mononuclear cells
Description
Relative expression of toll-like receptor 4, myeloid differentiation factor 88, p65 subunit of NF-kappa B, interleukin-6, interleukin-8, tumor necrosis factor alpha, and monocyte chemoattractant protein-1 will be measured individually at the end of each treatment. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 28 of the 28-day intervention
Title
Intestinal inflammatory biomarker: calprotectin
Description
Fecal concentration (μg/g) of calprotectin will be measured in samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Days 25-27 of the 28-day intervention
Title
Intestinal inflammatory biomarker: myeloperoxidase
Description
Fecal concentration (ng/g) of myeloperoxidase will be measured in samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Days 25-27 of the 28-day intervention
Title
Changes in plasma catechins and their metabolites
Description
Plasma concentrations (nmol/L) of epigallocatechin gallate, epicatechin gallate, epigallocatechin, epicatechin, gamma-valerolactones, and catechin-derivates will be measured individually at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 0, 14, and 28 of the 28-day intervention
Title
Fecal catechins and their metabolites
Description
Fecal concentrations (μmol/kg) of epigallocatechin gallate, epicatechin gallate, epigallocatechin, epicatechin, gamma-valerolactones, and catechin-derivates will be measured individually in samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Days 25-27 of the 28-day intervention
Title
Fecal short-chain fatty acids
Description
Fecal concentrations (mmol/kg) of butyrate, acetate, propionate, isobutyric acid, and isovaleric acid will be measured individually in samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Days 25-27 of the 28-day intervention
Title
Gut microbiota diversity indices
Description
Gut microbiota diversity indices (Shannon species and Chao1) will be measured in fecal samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Days 25-27 of the 28-day intervention
Title
Gut microbiota Firmicutes/Bacteroidetes ratio
Description
Gut microbiota Firmicutes/Bacteroidetes ratio will be measured in fecal samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Days 25-27 of the 28-day intervention
Title
Gut microbiota relative abundance
Description
Gut microbiota relative abundance (% order, genus, and species level) will be measured in fecal samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Days 25-27 of the 28-day intervention
Title
Gut microbiota function proportions
Description
Gut microbiota function proportions (%) based on microbial genome analysis will be measured in fecal samples collected over 3 consecutive days and pooled prior to analysis. Between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Days 25-27 of the 28-day intervention
Title
Change in plasma glucose
Description
Plasma concentration (mg/dL) of glucose will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 0, 14, and 28 of the 28-day intervention
Title
Change in plasma insulin
Description
Plasma concentration (μIU/mL) of insulin will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 0, 14, and 28 of the 28-day intervention
Title
Change in plasma lipids
Description
Plasma concentrations (mg/dL) of triglyceride and HDL-cholesterol will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 0, 14, and 28 of the 28-day intervention
Title
Changes in serum alanine transaminase and aspartate transaminase
Description
Serum concentrations (U/L) of alanine transaminase and aspartate transaminase will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 0, 14, and 28 of the 28-day intervention
Title
Changes in serum creatinine and blood urea nitrogen
Description
Serum concentrations (U/L) of creatinine and blood urea nitrogen will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 0, 14, and 28 of the 28-day intervention
Title
Change in blood hematocrit
Description
Blood hematocrit (%) will be measured at the beginning, in the middle, and at the end of each treatment. Time-dependent changes relative to baseline (day 0) in each treatment and between-treatment differences will be measured in MetS vs. healthy individuals.
Time Frame
Day 0, 14, and 28 of the 28-day intervention
10. Eligibility
Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
65 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion criteria:
Individuals with ≥3 of the following established criteria for metabolic syndrome:
Fasting glucose 100-126 mg/dL
Waist circumference >89/>102 cm for females/males
HDL-C <50/<40 mg/dL for females/males
Triglyceride >150 mg/dL
Blood pressure >130/85 mmHg
Healthy adults:
Body weight 19-25 kg/m2
Fasting glucose <100 mg/dL
HDL-C >50/>40 mg/dL for females/males
Triglyceride <150 mg/dL
Blood pressure <120/80 mmHg
Exclusion criteria:
Concurrent tea consumption
Use of dietary supplements, prebiotics, or probiotics
Use of antibiotics or antiinflammatory agents
History of liver disease, cardiovascular disease, hypertension (blood pressure >140/90 mmHg), or cancer
History of gastrointestinal disorders, chronic diarrhea, or surgeries
Hemochromatosis
Parkinson's disease
Use of medications to manage diabetes, hypertension, or hyperlipidemia
Use of antipsychotic medications [Clozapine, lithium, Diazepam]
Use of blood thinning medications [Warfarin]
Use of high blood pressure medications [nadolol]
Use of monoamine oxidase inhibitors [selegiline]
Alcohol consumption >2 drinks/d
Smoking tobacco
Vegetarian
Pregnancy, lactation, or recent changes in birth control use for women
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Richard S Bruno, PhD, RD
Organizational Affiliation
Ohio State University
Official's Role
Principal Investigator
Facility Information:
Facility Name
The Ohio State University
City
Columbus
State/Province
Ohio
ZIP/Postal Code
43210
Country
United States
12. IPD Sharing Statement
Plan to Share IPD
No
Citations:
PubMed Identifier
30856467
Citation
Dey P, Sasaki GY, Wei P, Li J, Wang L, Zhu J, McTigue D, Yu Z, Bruno RS. Green tea extract prevents obesity in male mice by alleviating gut dysbiosis in association with improved intestinal barrier function that limits endotoxin translocation and adipose inflammation. J Nutr Biochem. 2019 May;67:78-89. doi: 10.1016/j.jnutbio.2019.01.017. Epub 2019 Feb 8.
Results Reference
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PubMed Identifier
29190550
Citation
Li J, Sasaki GY, Dey P, Chitchumroonchokchai C, Labyk AN, McDonald JD, Kim JB, Bruno RS. Green tea extract protects against hepatic NFkappaB activation along the gut-liver axis in diet-induced obese mice with nonalcoholic steatohepatitis by reducing endotoxin and TLR4/MyD88 signaling. J Nutr Biochem. 2018 Mar;53:58-65. doi: 10.1016/j.jnutbio.2017.10.016. Epub 2017 Nov 3.
Results Reference
background
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Gut-level Antiinflammatory Activities of Green Tea in Metabolic Syndrome
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