Chungnam National University Hospita
Daejeon, Jung-gu, 35015, South Korea
Location status: Recruiting
NCT Number: NCT06519162
In this study, we aim to identify gut microbiomes specific to patients with chronic refractory liver disease and to conduct a gut-liver axis study on the pathogenesis and disease progression.
Interested in participating?
Request Info19 year and older
All sexes
Observational
Daejeon, Jung-gu, 35015, South Korea
Location status: Recruiting
Group of autoimmune hepatitis: patients with definite autoimmune hepatitis or their healthy households for controls Group of primary biliary cholangitis: patients with definite primary biliary cholangitis or their healthy households for controls Group of primary sclerosing cholangitis: patients with definite primary sclerosing cholangitis or their healthy households for controls Group of non-alcoholic steatohepatitis: patients with definite non-alcoholic steatohepatitis or their healthy households for controls Group of liver abscess: patients with definite liver abscess or their healthy households for controls.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
B. Exclusion
Exclusion criteria
Time frame: Before treatment, 3~12months after treatment
Using the Galaxy platform, perform taxonomic profiling followed by LDA(Linear Discriminant Analysis ) analysis. Group by primary diagnosis and derive the LDA(Linear Discriminant Analysis) Effect Size, or utilize MaAsLin2(Microbiome Multivariable Association with Linear Models 2) to identify genera/species showing significant compositional changes between diseases.
Time frame: Before treatment, 3~12months after treatment
Using the Galaxy platform, perform taxonomic profiling followed by LDA(Linear Discriminant Analysis) analysis. Group by primary diagnosis and derive the LDA(Linear Discriminant Analysis) Effect Size, or utilize MaAsLin2(Microbiome Multivariable Association with Linear Models 2) to identify genera/species showing significant compositional changes between diseases.
Time frame: Before treatment, 3~12months after treatment
Using the Galaxy platform, perform taxonomic profiling followed by LDA(Linear Discriminant Analysis) analysis. Group by primary diagnosis and derive the LDA(Linear Discriminant Analysis) Effect Size, or utilize MaAsLin2(Microbiome Multivariable Association with Linear Models 2) to identify genera/species showing significant compositional changes between diseases.
Contact information is provided by the study sponsor or research team.
Hyuksoo Eun
CONTACT
Soon Ok Kim
CONTACT
Chungnam National University Hospital
Other
Exploration of Liver-gut Axis Through Identification of Liver Disease-specific Microbiome
Acronym: LGAS
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
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.
Published trials that share one or more normalized conditions with this study.
NCT03743272
Autoimmune Diseases, Autoimmune Hepatitis
Leiden, Netherlands
View Trial DetailsNCT06061341
Autoimmune Diseases, Autoimmune Hepatitis
St Louis, Missouri, United States
View Trial DetailsNCT06455280
Autoimmune Diseases, Autoimmune Hepatitis
New York, United States
View Trial DetailsNCT05750498
Autoimmune Diseases, Autoimmune Hepatitis
Palo Alto, California, United States
View Trial Details