SysKid

Systems Biology of Kidney Disease

Publications

. Systems Biology-Derived Biomarkers to Predict Progression of Renal Function Decline in Type 2 Diabetes.
Diabetes care, (40), 3, 391–397, https://doi.org/10.2337/dc16-2202, 2017.

Project

. Renal microRNA- and RNA-profiles in progressive chronic kidney disease.
European journal of clinical investigation, (46), 3, 213–26, https://doi.org/10.1111/eci.12585, 2015.

Project

. Molecular disease presentation in diabetic nephropathy.
Nephrology, dialysis, transplantation, (30 Suppl 4), iv17–25, https://doi.org/10.1093/ndt/gfv267, 2015.

Project

. Drugs meeting the molecular basis of diabetic kidney disease: bridging from molecular mechanism to personalized medicine.
Nephrology, dialysis, transplantation, (30 Suppl 4), iv105–112, https://doi.org/10.1093/ndt/gfv210, 2015.

Project

. A panel of novel biomarkers representing different disease pathways improves prediction of renal function decline in type 2 diabetes.
PloS one, (10), 5, e0120995, https://doi.org/10.1371/journal.pone.0120995, 2015.

Project

. A 3-biomarker-panel predicts renal outcome in patients with proteinuric renal diseases.
BMC Med Genomics, (7), 75, https://doi.org/10.1186/s12920-014-0075-8, 2014.

Project

. From molecular signatures to predictive biomarkers: modeling disease pathophysiology and drug mechanism of action.
Frontiers in cell and developmental biology, (2), 37, https://doi.org/10.3389/fcell.2014.00037, 2014.

Project

. Evaluation of the Zucker diabetic fatty (ZDF) rat as a model for human disease based on urinary peptidomic profiles.
PloS one, (7), 12, e51334, https://doi.org/10.1371/journal.pone.0051334, 2012.

Project

. In-silico human genomics with GeneCards.
Human genomics, (5), 6, 709–17, https://doi.org/10.1186/1479-7364-5-6-709, 2011.

Project

. Mapping of molecular pathways, biomarkers and drug targets for diabetic nephropathy.
Proteomics. Clinical applications, (5), 5-6, 354–66, https://doi.org/10.1002/prca.201000136, 2011.

Project

. Linking transcriptomic and proteomic data on the level of protein interaction networks.
Electrophoresis, (31), 11, 1780–1789, https://doi.org/10.1002/elps.200900775, 2010.

Project