Tongue Fur and Metabolites in Diabetes Mellitus

Sponsor
China Medical University Hospital (Other)
Overall Status
Recruiting
CT.gov ID
NCT04909632
Collaborator
(none)
400
1
1
29
13.8

Study Details

Study Description

Brief Summary

This study is a prospective cross-sectional study. The investigators enroll participants form the department of endocrinology and of metabolism, China Medical University Hospital. In total, 400 participants , composed of 100 of type 2 diabetes , 100 of pre-DM and 200 healthy participants. The investigators apply tongue diagnosis system, pulse wave analysis, body constitution questionnaires, and nailfold capillaroscopy to assess the differences of TCM diagnosis. After collecting the tongue coating and analyzing the metabolite signals with a flying mass spectrometer, The investigators collect the data to establish metabolite pattern and biomarkers.

This study aims to identify the clinical symptoms of DM with TCM diagnostic tools and investigate the pattern difference and treatment for DM. Furtherly, the investigators add mass spectrometer to analyze the metabolites of tongue coating, the investigators propose to establish a metabolite pattern and biomarker to identify important biological indicators of DM.

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: Liquid chromatography-mass spectrometry (LC-MS) analysis
N/A

Study Design

Study Type:
Interventional
Anticipated Enrollment :
400 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Diagnostic
Official Title:
Correlation Between Tongue Fur and Metabolites in Diabetes Mellitus and pre-diabetes-a Pilot Study
Actual Study Start Date :
Mar 1, 2020
Anticipated Primary Completion Date :
Dec 31, 2021
Anticipated Study Completion Date :
Jul 31, 2022

Arms and Interventions

Arm Intervention/Treatment
Experimental: To establish metabolite pattern and biomarkers of tongue fur in DM

Diagnostic Test: Liquid chromatography-mass spectrometry (LC-MS) analysis
The data were acquired by UNIFI software (Waters) and processed by UNIFI and Progenesis QI software. Omics analysis methods, such as principal component analysis (PCA), partial least squares-discriminate analysis (PLS-DA), and orthogonal partial least squares-discriminate analysis (OPLS-DA), were employed to identify the biochemical patterns in tongue coating samples and suggest variables that can be used as biomarkers for diabetes and pre-diabetes.

Outcome Measures

Primary Outcome Measures

  1. The differentiation of tongue features mellitus and pre-diabetes [2 years]

    The primary outcome is the differentiation of tongue features extracted by ATDS. There are nine primary features for TCM clinical tongue diagnosis, namely, tongue shape, tongue color, fur thickness, fur color, saliva, tongue fissure, ecchymosis, teeth mark, and red dot. Features identified are further sub-divided according to the areas located, i.e., heart-lung area, left liver-gall, right liver-gall, spleen-stomach, and kidney.

Secondary Outcome Measures

  1. The tongue coating metabolic markers in patients with diabetes [2 years]

    The study researched tongue coating metabolic markers in patients with diabetes to determine any relationship between tongue diagnosis and metabolic processes. Chromatographic analysis and comparison between the diabetes group and normal controls. PCA and PLS-DA analysis of metabolic profiles of tongue coating samples from the chronic gastritis group and normal controls. To improve the accuracy of the PLS discriminated model, OPLS-DA was used to analysis the results by removing some redundant information, such as envir- onmental factors, gender, and diet. Tongue metabolic fingerprint differences between the chronic gastritis group and normal controls were compared using OPLS-DA.

Eligibility Criteria

Criteria

Ages Eligible for Study:
20 Years to 80 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  1. Clinical diagnosis of type 2 DM

  2. Clinical diagnosis of pre-DM

  3. Participants in the control group had a normal fasting glucose level

Exclusion Criteria:
  1. comorbidity of inadequate heart, liver, kidney, or other serious diseases.

  2. pregnancy or lactation.

  3. history of mental illness.

Contacts and Locations

Locations

Site City State Country Postal Code
1 China Medical University Hospital Taichung Taiwan 40402

Sponsors and Collaborators

  • China Medical University Hospital

Investigators

  • Study Director: Lun-Chien Lo, China Medical University, China

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
China Medical University Hospital
ClinicalTrials.gov Identifier:
NCT04909632
Other Study ID Numbers:
  • CMUH109-REC1-138
First Posted:
Jun 2, 2021
Last Update Posted:
Jun 2, 2021
Last Verified:
May 1, 2021
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by China Medical University Hospital
Additional relevant MeSH terms:

Study Results

No Results Posted as of Jun 2, 2021