Gut Microbiome and Metabolic Pathways Changes in Vitiligo

January 7, 2019 updated by: Li Chunying-1, Xijing Hospital

The Gut Microbiome and Metabolic Activity in Patients With Vitiligo

Vitiligo is a chronic depigmenting autoimmune-associated skin disease and a growing psychological health concern because of its low quality of life. Genetics, immunology and environment triggers contribute to the pathophysiology of vitiligo. Identify and decrease the risk factors of vitiligo is very crucial for vitiligo treatment and prevention. Emerging evidence has linked gut microbiome to human autoimmune diseases. Here the investigators will analyze 10,913 metagenomes in stool samples from 100 adult vitiligo patients and gut microbiome associated metabolites in patients serum.

Study Overview

Status

Unknown

Conditions

Detailed Description

Vitiligo, an autoimmune disease of the skin, is a commonly acquired chronic depigmenting disorder characterized by loss of epidermal melanocytes and progressive depigmentation clinically, affecting from 0.5% to 1% of the world population and about 1% in China Vitiligo can be a psychologically crushing associated with low quality of life, especially in colored skinned individuals. The pathoetiology of vitiligo is multifactorial and has genetic, immunological, and environmental components. Several environment-associated mechanisms have been implicated to explain melanocyte disappearance, including ultraviolet (UV) radiation exposure, repeated mechanical or thermal stress, and exposure to chemicals (especially phenols or catechols), but epidemiologic data remain limited.

Broader gut dysbioses have been identified as potential causes or contributing factors to human autoimmune diseases; however, human studies have not yet identified microbial compositional or functional triggers that are predictive of skin autoimmunity or vitiligo. Metabolites from intestinal microbiota are key determinants of host-microbe mutualism and, consequently, the health or disease of the intestinal tract. However, whether such host-microbe crosstalk influences inflammation in peripheral tissues, such as the skin, is poorly understood.

The investigators will perform a metagenome association study and serum metabolomics profiling in a cohort of vitiligo Chinese individuals.

Study Type

Observational

Enrollment (Anticipated)

200

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

    • Shaanxi
      • Xi'an, Shaanxi, China, 710032
        • Recruiting
        • Xijing Hospital
        • Contact:
        • Contact:
          • Xijing Hospital

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

3 years to 65 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

We recruit patients who have clinically advanced vitiligo, and barely have other diseases which may disturb our study results.

Description

Inclusion Criteria:

  1. Subjects who volunteered and signed Informed Consent Form;
  2. Male or female subjects 3-65 years of age;
  3. Clinically confirmed the diagnosis of advanced vitiligo as per the diagnostic criteria for vitiligo specified in Clinical Dermatology;
  4. Stable vital signs.

Exclusion Criteria:

  1. Patients who had taken systemic or local treatment with vitiligo in the last month;
  2. Patients who had taken systemic antibiotics,systemic hormones,cytokines, immunosuppressors in the previous three months;
  3. The combination of other autoimmune diseases,gastrointestinal diseases, hepatic diseases, psychiatric and psycho-related diseases, or other skin diseases;
  4. The combination of Serious, life-threatening condition such as cardiac diseases, renal diseases, endocrine system disease, cancer, or immunodeficiency diseases;
  5. Women of child-bearing potential who are pregnant, plan to become pregnant during the study or are lactating;
  6. Any other condition that the investigator deems unsuitable for entering the study.

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

  • Observational Models: Case-Control
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Disease
patients with vitiligo
Healthy Control
healthy control

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Gut microbiota sequencing results by analyzing metagenomes of 16s rRNA gene or microbial genes
Time Frame: 2018.10.1--2019.3.1
Fecal samples are obtained from all recruited subjects for metagenomic sequencing. The individuals have not received any antibiotic treatment for at least one month before sample collection. In the seven days before sample collection, subjects did not take any food containing probiotics such as yogurt. Each sample was either frozen immediately at -80 °C or briefly stored in personal -20 °C freezers before transport to the laboratory within 24 h. After extracting DNA from fecal samoles, gut microbiota sequencing results by using Shotgun Strategy or Meta 16s high-throughput sequencing.
2018.10.1--2019.3.1
Gut microbiota associated metabolic pathways by using metabolomics profiling of serum samples study
Time Frame: 2018.12.1--2019.3.1
All serum samples will be thawed on ice and a quality control (QC) sample, made by mixing and blending equal volumes (10 μl) of each serum sample, is used to estimate a mean profile representing all the analytes encountered during analysis. The acquired MS data pretreatments included peak selection and grouping, retention time correction, second peak grouping, and isotopes and adducts annotation, will be performed as previously described56. LC-MS raw data files will be converted into mzXML format and then analyzed by the XCMS and CAMERA toolbox with R statistical language.
2018.12.1--2019.3.1
Vitiligo associated activity measurements like VASI assays, serum markers detection
Time Frame: 2019.1--2019.3.1
VASI assays will be used to evaluate patients disease condition. VASI Scoring Criteria VASI=Σall body sites (hand units) × depigmentation. Serum markers like CXCL10, IL-2, and sCD25 will be detected by ELISA kits.
2019.1--2019.3.1

Collaborators and Investigators

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

Sponsor

Investigators

  • Principal Investigator: Chunying Li, Study Principal Investigator

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)

September 18, 2018

Primary Completion (Anticipated)

June 1, 2019

Study Completion (Anticipated)

December 31, 2020

Study Registration Dates

First Submitted

January 5, 2019

First Submitted That Met QC Criteria

January 7, 2019

First Posted (Actual)

January 9, 2019

Study Record Updates

Last Update Posted (Actual)

January 9, 2019

Last Update Submitted That Met QC Criteria

January 7, 2019

Last Verified

January 1, 2019

More Information

Terms related to this study

Other Study ID Numbers

  • XJPF-LCY-V201812

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

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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