HITS gGmbH

LiSyM-Krebs ist ein nationales Forschungsnetz zur Früherkennung und Prävention von Leberkrebs, das unter Verwendung des systemmedizinischen Forschungsansatzes die komplexen, dynamischen Prozesse der Krankheitsprogression analysiert, um ausgehend von den Erkenntnissen aus dem Forschungsnetz LiSyM die Entstehung von Leberkrebs besser zu verstehen, vorherzusagen und im besten Fall sogar zu verhindern. LiSyM-Krebs setzt die erfolgreichen Forschungsaktivitäten der BMBF-Vorgängerprogramme ...

Liver Systems Medicine : striving to develop non-invasive methods for diagnosing and treating NAFLD by combining mathematical modeling and biological research. LiSyM, is a multidisciplinary research network, in which molecular and cell biologists, clinical researchers, pharmacologists and experts in mathematical modeling examine the liver in its entirety. LiSyM research focuses on the metabolic liver disease non-alcoholic fatty liver disease (NAFLD), which includes non-alcoholic steatohepatitis ...

This generic project is intended to be a forum for all LiSyM partner and external stakeholders interested in participating in the BMBF initiative LiSyM-Krebs.

This comprises the whole LiSyM network

Day-to-day science within the LiSyM is overseen and directed by the the LiSyM Scientific Leadership Team. This coordination team comprises the pillar coordinators and additional LiSyM members, and ensures smooth interaction between multi-skilled groups, often working in different institutions and across significant distances within Germany.

In chronic diseases, at some point the liver can suddenly stop functioning. This is called acute-on-chronic liver failure, or ACLF. This is the leading cause of death in liver patients and is often provoked by the use of transcription or freely available drugs or alcohol abuse. For this condition we need an effective treatment quickly. LiSyM-Pillar III researches the factors that contribute significantly to ACLF. What exactly happens then? Are there any early signs that would enable ACLF to be ...

Forschungsnetzwerk zur Früherkennung und Prävention- LiSyM-Krebs

Ein Netzwerk von Klinikern, Wissenschaftlern und Datenmanagern hat sich zur Aufgabe gemacht, Methoden zu entwickeln, um Patienten mit einem hohen Risiko für ein Leberkarzinom frühzeitig, in Vorstadien der Tumorentwicklung, identifizieren zu können. Gemeinsam bilden sie das „Systemmedizinische Forschungsnetzwerk zur Früherkennung und Prävention von Leberkrebs“, LiSym-Krebs, das vom Bundesministerium für Bildung und Forschung ...

SMART-NAFLD : A Systems Medicine Approach to Early Detection and Prevention of Hepatocellular Carcinoma in Non-Alcoholic Fatty Liver Disease

The massive increase in obesity is leading to an alarming rise in non-alcoholic liver disease (NAFLD). This development will lead to a dramatic increase in liver diseases such as hepatocellular carcinoma (HCC). A particular challenge is that NAFLD-associated HCCs, for reasons still unknown, not only occur in association with advanced liver fibrosis/cirrhosis, ...

C-TIP-HCC- Mechanism-based Multiscale Model to Dissect the Tipping Point from Liver Cirrhosis to Hepatocellular Carcinoma

The ultimate goal of the C-TIP-HCC is a „mechanistic multiscale model to describe dynamic changes in regenerative nodes across a tipping point (TIP) towards development in patients with cirrhosis to facilitate early monitoring and intervention“ and facilitate intervention“. To achieve this, we will conduct in-depth studies on cirrhotic regenerative nodes.

DEEP-HCC - Detailed Analysis of the Spatial Organization of the Development of Hepatocellular Carcinoma

Disorders of the liver show up through changes in blood tests. These blood tests indicate markers for events taking place in the liver. Usually studies of liver tissue cannot be performed: as liver samples would need to be obtained through a liver biopsy, and this procedure is not without risk, therefore these samples are usually unavailable. Complex metabolism models based on existing and new scientific data can simulate changes in the liver caused by disease. They often reveal unknown relationships ...