The co-morbidities being highlighted through out these two days were diabetic kidney disease, diabetic heart disease, diabetic eye disease, and diabetic liver disease.
Being passionate researchers in the field of liver- and gastrointestinal science, we sometimes tend to forget how several other organs of our body suffer as well, when diabetes has been diagnosed. Of special interest, Professor Peter Rossing indicated an observation between Trimethylamine N-oxide (TMAO) and the presence of kidney-, heart-, and metabolic disease. Professor Henrik Wigger presented positive results from treatment with 3-OHB, a ketone produced in the liver, on heart disease. Finale day, Professor Jacob Grauslund explained how they work towards being able to use Deep Learning in diagnoses of diabetic eye disease. At FLASH-Centre for Liver Research we aim for artificial intelligence becoming a part of the future diagnosing of liver disease, too.
Maja Thiele, Associate Professor at FLASH-Centre for Liver Research chaired the session on diabetic liver disease. PhD Christina Legido-Quigley gave a talk on OMICS – how metabolomics and lipidomics are being applied to liver disease, while international researchers, PhD Hannes Hagström and Professor Neil Guha, covered the prevalence of and how to optimize the whole process of diagnosing diabetic liver disease.