Hans-Peter Deigner
Institute of Precision Medicine-Furtwangen University, Germany
Title: Metabolomics in precision diagnostics - asphyxia as an example
Biography
Biography: Hans-Peter Deigner
Abstract
Metabolomics data are very important for the elucidation of pathobiochemical mechanisms and an integral part of disease-related omics analyses. They further offer opportunities for diagnosis, prognosis and therapy control in numerous neurodegenerative diseases. This paper provides an overview on recent developments in metabolomics across diseases including Alzheimer’s disease, multiple sclerosis (MS) and asphyxia of neonates. Recent publications report a good match of a brain metabolite signature with plasma data in Alzheimer’s patients and indicate a disturbed glucose as well as glutamate-glutamine metabolism in MS patients. In cerebrospinal fluid (CSF) samples of MS patient’s metabolic changes were found to be disease stage dependent. Our focus is on asphyxia diagnostics applying metabolic classifier. In asphyctic neonates, asphyxia was found to be reflected by characteristic plasma metabolite signatures involving e.g. Krebs-cycle metabolites. We have identified metabolites indicating early asphyxia and demonstrate that metabolite quantification offers an ideal tool for characterizing and prognosing neurodegenerative diseases and diagnosing oxygen deprivation.