A comparison of normal and germ-free mice revealed that as much as 70 percent of a mouse’s gut chemistry is determined by its gut microbiome. Even in distant organs, such as the uterus or the brain, approximately 20 percent of molecules were different in the mice with gut microbes.
Tag: Hepatology
Too Much of a Good Thing May Lead to Too Much of a Liver As Well
UC San Diego researchers suggest that prolonged exposure to a pair of antioxidant proteins may contribute to enlargement of the liver and fatty liver diseases.
Study: Two Enzymes Control Liver Damage in NASH
After identifying a molecular pathway that allows nonalcoholic steatohepatitis (NASH) to progress into liver cell death, University of California San Diego School of Medicine researchers were able to use these pathways to halt further liver damage.
Liver Fibrosis “Off Switch” Discovered in Mice
UC San Diego School of Medicine researchers identified several genetic switches, or transcription factors, that determine whether or not liver cells produce collagen — providing a new therapeutic target for liver fibrosis.
Math Equation Predicts and Detects Liver Cancer
University of California San Diego School of Medicine and Moores Cancer Center researchers developed a math equation to predict and detect liver cancer and identified when healthy cells become cancerous.
STUDY FINDS ‘VIRTUAL BIOPSY’ ALLOWS DOCTORS TO ACCURATELY DIAGNOSE PRECANCEROUS PANCREATIC CYSTS
Research from doctors at The Ohio State University Wexner Medical Center finds a new “virtual biopsy” allows them to definitively diagnose cysts in the pancreas with unprecedented accuracy. This means they can eliminate precancerous cysts and potentially save lives.
Two UC San Diego Researchers Elected AAAS Fellows
Two researchers at University of California San Diego School of Medicine—Pamela L. Mellon and Aleem Siddiqui—have been named Fellows of the American Association for the Advancement of Science (AAAS), the largest general science organization in the world and publisher of the journal Science.
Innovative Machine Learning Tool Predicts Who Might Have Non-Alcoholic Steatohepatitis
Data from a new study presented this week at The Liver Meeting® – held by the American Association for the Study of Liver Diseases – found that a machine-learning tool could successfully predict the risk of having non-alcoholic steatohepatitis (NASH) among patients with co-existing diseases.