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Proteolysis and inflammation of the kidney glomerulus

Authors: Fatih Demir; Anne Troldborg; Steffen Thiel; Moritz Lassé; Pitter F. Huesgen; Nicola M. Tomas; Thorsten Wiech; +1 Authors

Proteolysis and inflammation of the kidney glomerulus

Abstract

AbstractProteases play a central role in regulating renal pathophysiology and are increasingly evaluated as actionable drug targets. Here, we review the role of proteolytic systems in inflammatory kidney disease. Inflammatory kidney diseases are associated with broad dysregulations of extracellular and intracellular proteolysis. As an example of a proteolytic system, the complement system plays a significant role in glomerular inflammatory kidney disease and is currently under clinical investigation. Based on two glomerular kidney diseases, lupus nephritis, and membranous nephropathy, we portrait two proteolytic pathomechanisms and the role of the complement system. We discuss how profiling proteolytic activity in patient samples could be used to stratify patients for more targeted interventions in inflammatory kidney diseases. We also describe novel comprehensive, quantitative tools to investigate the entirety of proteolytic processes in a tissue sample. Emphasis is placed on mass spectrometric approaches that enable the comprehensive analysis of the complement system, as well as protease activities and regulation in general.

Keywords

Inflammation, Complement system, Kidney Glomerulus/pathology [MeSH] ; Proteolysis [MeSH] ; Inflammation/pathology [MeSH] ; Humans [MeSH] ; Review ; Proteases ; Animals [MeSH] ; Complement system ; Renal pathophysiology, Kidney Glomerulus, Proteases, Review, Renal pathophysiology, Proteolysis, Animals, Humans, info:eu-repo/classification/ddc/610

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    influence
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
hybrid