New CRC publication in Liver International:
Using machine learning and big data to understand the gut liver axis
Metabolic dysfunction-associated steatotic liver disease (MASLD) affects approximately one third of the population and can progress to much more severe states of liver damage influenced by the interplay of lifestyle, genes and environment. One prime example for effects of the gut-liver axis, are effects of our diet on the liver. Under the supervision of Prof. Carolin V. Schneider (A11) and Prof. Kai Markus Schneider (B09), MD candidate Simon Schophaus together with Paul-Henry Koop and Dr. med. Jan Clusmann (all project A11), could find a potential protective effect of higher nutritional Manganese intake on MASLD development and liver related death using novel machine learning algorithms. Having used a large cohort (n> 200,000) from the United Kingdom Biobank, these findings are not only of high significance for personalized nutrition but will also lead to further research within this CRC to elucidate the underlying mechanisms.