Networks and Consortia

STOP-FSGS

Speed Translation-Oriented Progress to Treat FSGS

STOP-FSGS consortium has made an enormous contribution to unravel molecular and cellular mechanisms underlying FSGS, to develop novel diagnostic tools and to identify novel biomarkers and potential therapeutic strategies. Building on these achievements, STOP-FSGS will now:

1. combine the high-resolution microscopy-, high-end imaging-, single cell biology- and AI-based STOP-FSGS-workflows enabling an improved and novel FSGS disease stratification and prediction.

2. refine the STOP-FSGS diagnostic biomarkers by applying non-invasive imaging, workflows to measure the activity of soluble factors and personalized screening tools (zebrafish and iPSCs).

3. devise novel patient-tailored therapeutic strategies achieved by high-throughput FDA-approved drug screening, developing novel delivery routes (AAV-based gene therapy, nanoparticle based delivery) and establishing new clinical diagnostic algorithms.

Visit Hompepage STOP-FSGS

BEAt-DKD

Biomarker Enterprise to Attack DKD

Diabetic kidney disease (DKD) is the leading cause of end stage renal disease (ESRD) but there are no effective means to prevent or cure DKD. BEAt-DKD comprises a network of basic and clinical research experts, including the leaders of the diabetes and kidney disease-relevant consortia and leading pharmaceutical companies to enable a holistic system medicine view of the pathogenesis to identify of target mechanism and pathways underlying initiation and progression of DKD. The identification and validation of biomarkers of disease progression and treatment responses representing first steps towards precision medicine in the disease management.

Visit www.beat-dkd.eu

UPTAKE

Urinary proteome analysis for the prediction of type, extent, prognosis, and therapeutic response of acute and chronic kidney diseases

Can urinary peptides guide intervention in chronic kidney diseases towards personalized intervention?

For accurate diagnosis of kidney diseases a renal biopsy is currently indispensable. Biopsy allows classification of the disease but, especially in slow progressing non-nephrotic diseases, is not very helpful in the judgement of prognosis and therapeutic response. The aim of UPTAKE is to test the ability of the urinary proteome analysis to substitute for renal biopsy, to predict extent of fibrosis and to predict response to therapy.

NephrESA

Nephrotic Syndrome Study Network

Progression of chronic kidney disease (CKD) is associated with impairment of erythropoietin (Epo) secretion and patients develop a renal anaemia that needs to be treated with erythropoiesis stimulating agents (ESAs). NephrESA is a mechanism-based multiscale model. which simulates EPO interactions in the human body. The integration and different combinations of specific submodels (inflam, iron, thromb) are utilized to retrospectively analyse the clinical data to establish a minimal model structure to optimize anaemia treatment for the individual CKD patient and particularly reduce the risk of thrombovascular events.

Visit www.gesundheitsforschung-bmbf.de

Martinistraße 52
Campus Research II N25
20246 Hamburg Germany
This email address is being protected from spambots. You need JavaScript enabled to view it.

University Medical Center Hamburg - Eppendorf