The Metabolomics of Intestinal Polyps of Different Pathological Types and TCM Syndromes and TCM Constitution Types

First Affiliated Hospital of Harbin Medical University1,659 enrolled

Overview

The aim of this study is to confirm the TCM syndrome types and TCM constitution classifications of the patients with intestinal polyps via on-site epidemiological survey, to analyze metabolomics of the serum samples of intestinal polyps and healthy volunteers, and to study the metabolomics differences of the two populations and the metabolomics variations of the patients with intestinal polyps of pre-polypectomy and post-polypectomy. Finally, this study is to investigate the serum metabolomics variations of patients with intestinal polyps of pre-polypectomy and post-polypectomy and the relationship with their TCM syndrome types and TCM constitution classifications, to determine the correlation among pathology, TCM constitution, TCM syndrome types and the metabonomics variations of patients with intestinal polyps.

Study Type

OBSERVATIONAL

Enrollment

1,659

Conditions

Intestinal Polyps

Interventions

No interventionOTHER

Eligibility

Medical Language ↔ Plain English

Inclusion Criteria: 1. Age 20 to 80,all genders; 2. Intestinal polyps were found by colonoscopy; 3. The patients are scheduled for polypectomy; 4. Preoperative examinations were completed; 5. Performance status 0-1; 6. Diet has well controlled prior to the operation; 7. Patients or their statutory agent have signed the informed consent forms. Exclusion Criteria: 1. The patient has not diagnosed by colonoscopy; 2. The patient has surgical contraindication; 3. Patients in pregnant or lactational period ; 4. Psychopath; 5. The patient is in drug trial.

Outcomes

Primary Outcomes

Aiming to obtain biomarker groups of different pathological types of intestinal polyps, The potential biomarkers will be entered KEGG database to obtain metabolic pathways.

Time frame: 2 years

Secondary Outcomes

All data matrices are introduced to Ezinfo software for PCA and OPLS-DA. Using improved "MetPA enriched pathways" method to discover the metabolic pathways of the disease.

Time frame: 3 days