A systems medicine network

Demonstrators

With diabetes medication against Parkinson’s disease

For some patients, suffering from a specific type of Parkinson, a diabetic medication could help to stop disease progression. This new approach is investigated by Julia Fitzgerald and colleagues from the Hertie-Instiute in Tuebingen.

Consortia

Detecting early warning signs and disease transition in alcohol addiction

e:Med researchers from the SysMedAlcoholism consortium and their cooperation partners at the University of Tokyo found out for the first time by means of a new computational approach that the transition into an addictive drinking behavior are preceded by predictive "early warning signals". The analytical approach to elaborate longitudinal data has the potential to predict the onset of illness and changes in various stages of the disease in the state of health.

Consortia

Schizophrenia risk mutations lead to instable neuronal networks

How does Schizophrenia work on the molecular level? In this study, dynamic network neuroscience techniques and neuroimaging methods were applied by scientists of the e:Med consortia IntegraMent to uncover the molecular and genetic contributions of glutamate and brain network dynamics.

Consortia

Beta cells under fire

Type 2 diabetes causes pathological changes in the beta cells. Scientists have successfully depicted the processes on the basis of the metabolome and proteome for the first time. Their work has been published in Cell Metabolism.

Junior research alliances and consortia

The importance of being genotyped

Small cell lung cancer is an aggressive type of cancer and can progress in very different, individual ways but so far no targeted therapy has been approved. By designing a mouse model mimicking a human disease phenotype, scientists of the e:Med alliances MILES & SMOOSE discovered a promising combination therapy.

Junior research alliances

New route to a diagnosis

In about half of all patients with rare hereditary disorders, it is still unclear what exact position of the genome is responsible for their condition - despite whole genome sequencing analysis. One reason for this is the enormous quantity of information encoded in human genes. Scientists from the fields of informatics and medicine have now joined forces to find a solution: A team at the Technical University of Munich (TUM) and Helmholtz Zentrum München has developed a method that significantly increases the chances of a successful search. The new approach looks not only at DNA, but also at RNA. The e:Med junior research alliance mitOmics contributed substantially to this study.

Demonstrators and Junior research alliances

Metabolic fine tuning

Amino acids as signaling molecules: Interaction uncovered
Amino acids are important signaling molecules which influence cellular and organismal metabolism, however, their molecular targets are not yet completely identified.
A systems study has now shed light into the molecular interaction network and the diverse cellular functions of amino acids.

Consortia

m 4 Award for e:Med scientist

Among the winners of m4 Award is the project „KNOWING - Turning Big Data into Personalized Therapies” of e:Med scientist  Prof. Dr. Dr. Fabian Theis  and collegues. The team is working on software that links automatically different data  and thereby identifies novel biomarkers and drug targets for personalized therapies. KNOWING will be funded with a sum of 500,000 Euros over the next two years.

e:Med project groups - overlapping issues in focus

Scientists discuss new technologies and latest scientific contents and launch comprehensive initiatives in four e:Med project groups (PG) regarding substantially and methodologically overlapping systems medicine issues. The objective of the PG is to promote interactions between members and handle relevant issues across the research group.