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.
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.
Study Type
OBSERVATIONAL
Enrollment
12,000
Observational studies, no intervention
Emergency General Hospital
Chaoyang, Beijing Municipality, China
NOT_YET_RECRUITINGThe People's Hospital Of Nanchuan Chongqing
Nanchuan, Chongqing Municipality, China
NOT_YET_RECRUITINGYongChuan hospital of Chongqing Medical Univeristy
Yongchuan, Chongqing Municipality, China
NOT_YET_RECRUITINGFujian Medical University Union Hospital
Fuzhou, Fujian, China
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.
Time frame: baseline
biochemistry
Comparison of serum markers of healthy volunteers and patients with various diseases.
Time frame: baseline
metabonomics
Comparison of metabolites of healthy volunteers and patients with various diseases.
Time frame: baseline
proteomics
Comparison of peptides of healthy volunteers and patients with various diseases using mass spectrometry.
Time frame: baseline
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Fujian Provincial Hospital
Fuzhou, Fujian, China
NOT_YET_RECRUITINGFujian Cancer Hospital
Fuzhou, Fujian, China
NOT_YET_RECRUITINGThe First Hospital of Lanzhou University
Lanzhou, Gansu, China
NOT_YET_RECRUITINGLanzhou University Second Hospital
Lanzhou, Gansu, China
NOT_YET_RECRUITINGThe Sixth Affiliated Hospital of South China University of Technology (Foshan Nanhai District People's Hospital )
Foshan, Guangdong, China
RECRUITINGThe First Affiliated Hospital of Jinan University(Guangzhou Overseas Chinese Hospital )
Guangzhou, Guangdong, China
RECRUITING...and 40 more locations