Capital Medical University Reports Findings in Cholangitis (Machine learning-bas ed characterization of the gut microbiome associated with the progression of pri mary biliary cholangitis to cirrhosis)
Capital Medical University Reports Findings in Cholangitis (Machine learning-bas ed characterization of the gut microbiome associated with the progression of pri mary biliary cholangitis to cirrhosis)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Digestive System Disea ses and Conditions - Cholangitis is the subject of a report. According to news o riginating from Beijing, People's Republic of China, by NewsRx correspondents, r esearch stated, "Primary biliary cholangitis (PBC) is associated closely with th e gut microbiota. This study aimed to explore the characteristics of the gut mic robiota after the progress of PBC to cirrhosis." Our news journalists obtained a quote from the research from Capital Medical Uni versity, "This study focuses on utilizing the 16S rRNA gene sequencing method to screen for differences in gut microbiota in PBC patients who progress to cirrho sis. Then, we divided the data into training and verification sets and used seve n different machine learning (ML) models to validate them respectively, calculat ing and comparing the accuracy, F1 score, precision, and recall, and screening t he dominant intestinal flora affecting PBC cirrhosis. PBC cirrhosis patients sho wed decreased diversity and richness of gut microbiota. Additionally, there are alterations in the composition of gut microbiota in PBC cirrhosis patients. The abundance of Faecalibacterium and Gemmiger bacteria significantly decreases, whi le the abundance of Veillonella and Streptococcus significantly increases. Furth ermore, machine learning methods identify Streptococcus and Gemmiger as the pred ominant gut microbiota in PBC patients with cirrhosis, serving as non-invasive b iomarkers (AUC = 0.902). Our study revealed that PBC cirrhosis patients gut micr obiota composition and function have significantly changed."
Key words
Beijing/People's Republic of China/Asi a/Bile Duct Diseases and Conditions/Biliary Tract Diseases and Conditions/Cho langitis/Cirrhosis/Cyborgs/Digestive System Diseases and Conditions/Emerging Technologies/Fibrosis/Gastroenterology/Gram-Positive Bacteria/Gram-Positive Cocci/Health and Medicine/Machine Learning/Streptococcaceae/Streptococcus
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