The Human Metabolic Profile and Gut Microbiota Under Various Dietary Quality

August 1, 2023 updated by: Peking University

Study on Biomarkers of Whole Grain Dietary Intake in Chinese Population

The goal of this food intervention study is to screen/validate the whole grain food intake biomarker in health Chinese's population.

Study Overview

Detailed Description

Although increased consumption of whole grains (WGs) is associated with improved health outcomes, the dietary intake assessment and health mechanisms for WGs or WG-containing food remain unresolved. In addition, information regarding its consumption and health effects in Chinese people is scarce. Biomarkers of WGs intake would allow a more accurate assessment of its consumption in nutrition studies. The investigators want to perform a crossover study where participants were subjected to a WG-wheat flour or a refine wheat-flour Chinese diet. Using a metabolomics approach, the investigators aimed to identify the WG-specific metabolites present in plasma/urine after consumption WG or WG foods, including new candidate biomarkers of WG intake.

Study Type

Interventional

Enrollment (Actual)

24

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Beijing, China
        • Department of Nutrition and Food Hygiene, School of Public Health, Peking University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Healthy men and women
  • age 18-40 years
  • BMI 18.5-23.9 kg/m2.

Exclusion Criteria:

  • pregnancy or breastfeeding
  • vegetarian;
  • smokers;
  • acute and chronic diseases;
  • allergic to wheat;
  • frequent nutrients supplement use;
  • medication use of antibiotics within 1-month;
  • more than 3 kg weight change within 3-month;
  • unwillingness to follow dietary restrictions;

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Basic Science
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: whole grain-wheat flour food, then refined wheat flour food
Participants first received food made by 50 g whole grain wheat flour during breakfast in a fasting state. Standardized meals were provided to the volunteers from the dinner of the day before the intervention day, as well as up to 48 h after the administration of the test food. After a washout period of 5 days, volunteers followed a 2-day restricted diet before the intervention day. Participants then received food made by 50 g refined grain wheat flour in a fasting state.
whole grain food made by 50 g whole grain wheat flour
refined grain food made by 50 g refined wheat flour
Experimental: refined wheat flour food, then whole grain-wheat flour food
Participants first received food made by 50 g refined grain wheat flour during breakfast in a fasting state. Standardized meals were provided to the volunteers from the dinner of the day before the intervention day, as well as up to 48 h after the administration of the test food. After a washout period of 5 days, volunteers followed a 2-day restricted diet before the intervention day. Participants then received food made by 50 g whole grain wheat flour in a fasting state.
whole grain food made by 50 g whole grain wheat flour
refined grain food made by 50 g refined wheat flour

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Changes in metabolite profiles present in blood plasma and urine before the dietary intervention and in kinetics over 24 hours.
Time Frame: Baseline and 0-24 hours after intervention food intake
Metabolite profiles analyzed using a non-targeted metabolomics approach and targeted metabolomics approach with a Orbitrap Mass Analyzer. Blood plasma samples collected at time 0 hours, 2 hours, 4 hours, and 24 hours. Urine fractions collected at 0-2 hours, 2-4 hours, 4-6 hours, 6-9 hours, 9-12 hours, 12-24 hours and 24-48 hours. Identification of biomarkers of acute intake of the foods of interest through the comparison of specific metabolomes after single dose of WG food or refined grain food in Chinese population.
Baseline and 0-24 hours after intervention food intake

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The influence of gut flora on whole grain markers
Time Frame: after the administration of the test meal
Gut flora abundance and metabolites level correlation analysis
after the administration of the test meal

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Yunjia yang, Peking University
  • Principal Investigator: Yalin Zhou, Peking University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 28, 2023

Primary Completion (Actual)

May 24, 2023

Study Completion (Actual)

May 24, 2023

Study Registration Dates

First Submitted

April 20, 2023

First Submitted That Met QC Criteria

April 20, 2023

First Posted (Actual)

May 1, 2023

Study Record Updates

Last Update Posted (Actual)

August 3, 2023

Last Update Submitted That Met QC Criteria

August 1, 2023

Last Verified

April 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • xuyajun197673

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Shared IPD that underlie results in a publication

IPD Sharing Time Frame

December 30, 2023

IPD Sharing Access Criteria

In a publication

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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