No intervention
OtherObservational studies, no intervention
NCT Number: NCT05638269
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.
Interested in participating?
Request Info18 year–75 year
All sexes
Observational
Emergency General Hospital, Chaoyang, Beijing Municipality, China
Many studies demonstrate that microbial dysbiosis has been linked to many human pathologies. However, the current understanding of the identification of the disease-associated microbiome signatures remains limited, largely owing to the heterogeneity of microbial community structures which are shaped by the host. Undoubtedly, profiles of microbial biomarkers require validation in large, independent, population-based cohorts from different districts. Based on these, the investigator plan to organize a multicentric cross-sectional cohort, not only to systematically characterize the gut microbiota of various critical chronic diseases, such as liver cancer, gastric cancer, pancreatic cancer, lung cancer, nasopharyngeal cancer, hypertension, acute coronary syndrome, primary aldosteronism, epilepsy, chronic kidney disease, and subclinical hypothyroidism but also to compare the similarities and differences of the microbiome signatures linked to different regions and different diseases and to further investigate their impacts on microbiota-based diagnostic models. In this study, for each kind of disease, the investigators expect to recruit 500 patients with a confirmed diagnosis and 500 sex- and age-matched controls, to record their information related to demography, body measurement, lifestyle, diet, medication, diseases, and biochemistry, and to collect their feces, saliva, urine and blood samples.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Observational studies, no intervention
Time frame: baseline
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.
Time frame: baseline
Comparison of serum markers of healthy volunteers and patients with various diseases.
Time frame: baseline
Comparison of metabolites of healthy volunteers and patients with various diseases.
Time frame: baseline
Comparison of peptides of healthy volunteers and patients with various diseases using mass spectrometry.
Contact information is provided by the study sponsor or research team.
Zhujiang Hospital
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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