Gut Microbiota, Metabolomics, Stomach Neoplasms
Conditions
Brief summary
To evaluate the correlation between gut microbiota and metabolites in Borrmann type IV gastric cancer; To find the effects of microflora and metabolites on target organs; To detect the mechanism of key flora and metabolite by in vitro and in vivo experiments; To construct models of gut microbiota and metabonomics by machine learning.
Interventions
Collecting blood and feces from healthy population.
Collecting blood, feces and gastric cancer tissues from Non-Borrmann IV patients.
Collecting blood, feces and gastric cancer tissues from Borrmann IV patients.
Sponsors
Study design
Eligibility
Inclusion criteria
1. Patients who sign informed consent. 2. Borrmann classification of gastric cancer is determined by more than 2 pathologists. 3. Patients with BMI 24-28. 4. Karnofsky (KPS) score \>80.
Exclusion criteria
1. Patients who take any aspirin, antibiotics, prebiotics, or probiotics within 4 weeks and steroids or immunosuppressants within 6 months prior to specimen collection. 2. Patients who complicate with other malignant tumors. 3. Patients who complicate with diabetes, hypertension, heart disease and infectious diseases. 4. Patients who complicate with inflammatory bowel disease or irritable bowel syndrome. 5. Patients with metastasis.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Participants' characteristics | 1 day | To obtain participants' characteristics, including age, gender, alcohol consumption, body mass index, smoking, medications. |
| Microbial community structure | 1 day | To assess participants' microbiome composition in faecal samples, inclding microbial diversity and richness. |
| Metabolite composition | 1 day | To measure the metabolite profiles in participants' faecal samples and serum samples, involving Bile acids, short chain fatty acids, TMAO and related metabolites, amino acids, fatty acids, organic acids, flavonoids, plant hormones, neurotransmitters. |
| Microbes-metabolites correlations | 1 day | To assess the correlations of gut microbiota and metabolites by Spearman's correlation analysis. |
| Response of target organ | 1 day | To find the effects of microflora and metabolites on target organ by transcriptome sequencing. |
Countries
China