About this trial
The human gut microbiome has been associated with many health factors but variability between studies limits the exploration of effects between them. This study aims to systematically characterize the gut microbiota of various critical chronic diseases, compare the similarities and differences of the microbiome signatures linked to different regions and diseases, and further investigate their impacts on microbiota-based diagnostic models.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
aged 18-75 years;
living in the province where the hospital is located in the last three years;
with a medical diagnosis of one of the target diseases;
willing to provide written informed consent.
Disqualifiers
female in pregnancy or lactation(unless the subject is pregnant women);
with medical diagnoses of other serious illnesses;
with a history of bariatric surgery or intestinal resection, except for appendectomy;
individual who was treated with drugs in the preceding 1 month, including antibiotics, metformin, statins, acid inhibitor, probiotics, and probiotics; individuals having consumed yogurt more than 3 times in the preceding 1 month; heavy drinkers who have consumed more than 4 taels of liquor or 1000ml of beer; frequent alcohol consumers who have drunk per week in the last month.
Trial population
All the patients with essential Hypertension, liver cancer, nasopharyngeal cancer, pancreatic cancer, lung cancer, chronic kidney disease, acute coronary syndrome, epilepsy, gastric cancer, primary aldosteronism or subclinical hypothyroidism hospitalized in our participant hospitals will be eligible to be enrolled. Also, their age- and sex-matched controls making a physical examination in the same hospital will be eligible to be enrolled.
Trial design
Case-control
Cross-sectional
Treatments tested in this trial
no intervention
Other interventionObservational studies, no intervention
Treatment groups
Trial outcomes
Primary outcomes
microbiome
The microbial composition of the stool and saliva samples was determined by 16S rRNA (ribosomal ribonucleic acid) gene sequencing analysis and metagenomics. Comparison of microbial abundance and diversity of healthy volunteers and patients with various diseases.
Secondary outcomes
biochemistry
Comparison of serum markers of healthy volunteers and patients with various diseases.
metabonomics
Comparison of metabolites of healthy volunteers and patients with various diseases.
proteomics
Comparison of peptides of healthy volunteers and patients with various diseases using mass spectrometry.
Sponsors and contacts
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Zhujiang Hospital
Lead sponsor
National Natural Science Foundation of China
Collaborator