Cargando…
Proteomics for prediction of disease progression and response to therapy in diabetic kidney disease
The past decade has resulted in multiple new findings of potential proteomic biomarkers of diabetic kidney disease (DKD). Many of these biomarkers reflect an important role in the (patho)physiology and biological processes of DKD. Situations in which proteomics could be applied in clinical practice...
Autores principales: | Pena, Michelle J., Mischak, Harald, Heerspink, Hiddo J. L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969331/ https://www.ncbi.nlm.nih.gov/pubmed/27344310 http://dx.doi.org/10.1007/s00125-016-4001-9 |
Ejemplares similares
-
New Diabetes Therapies and Diabetic Kidney Disease Progression: the Role of SGLT-2 Inhibitors
por: Dekkers, Claire C. J., et al.
Publicado: (2018) -
Machine‐learning–based early prediction of end‐stage renal disease in patients with diabetic kidney disease using clinical trials data
por: Belur Nagaraj, Sunil, et al.
Publicado: (2020) -
Multimarker Panels in Diabetic Kidney Disease: The Way to Improved Clinical Trial Design and Clinical Practice?
por: Perco, Paul, et al.
Publicado: (2018) -
Progress and opportunities in measuring the burden of Chronic Kidney Disease
por: Vart, Priya, et al.
Publicado: (2022) -
Novel anti-inflammatory drugs for the treatment of diabetic kidney disease
por: Heerspink, Hiddo J. L., et al.
Publicado: (2016)