The proteome microenvironment determines the protective effect of preconditioning in cisplatin-induced acute kidney injury.

Acute kidney injury (AKI) leads to significant morbidity and mortality; unfortunately, strategies to prevent or treat AKI are lacking. In recent years, several preconditioning protocols have been shown to be effective in inducing organ protection in rodent models. Here, we characterized two of these interventions-caloric restriction and hypoxic preconditioning-in a mouse model of cisplatin-induced AKI and investigated the underlying mechanisms by acquisition of multi-layered omic data (transcriptome, proteome, N-degradome) and functional parameters in the same animals. Both preconditioning protocols markedly ameliorated cisplatin-induced loss of kidney function, and caloric restriction also induced lipid synthesis. Bioinformatic analysis revealed mRNA-independent proteome alterations affecting the extracellular space, mitochondria, and transporters. Interestingly, our analyses revealed a strong dissociation of protein and RNA expression after cisplatin treatment that showed a strong correlation with the degree of damage. N-degradomic analysis revealed that most posttranscriptional changes were determined by arginine-specific proteolytic processing. This included a characteristic cisplatin-activated complement signature that was prevented by preconditioning. Amyloid and acute-phase proteins within the cortical parenchyma showed a similar response. Extensive analysis of disease-associated molecular patterns suggested that transcription-independent deposition of amyloid P-component serum protein may be a key component in the microenvironmental contribution to kidney damage. This proof-of-principle study provides new insights into the pathogenesis of cisplatin-induced AKI and the molecular mechanisms underlying organ protection by correlating phenotypic and multi-layered omics data.

Quantification of molecular heterogeneity in kidney tissue by targeted proteomics.

Renal diseases are driven by alterations in the entity of proteins within the kidney, at the level of single cells, nephron subunits (such as glomerulus and tubule), tissues and body fluids. Histologically, kidney diseases are extremely heterogeneous. Mass-spectrometry based proteomics provides a unique opportunity to interrogate heterogeneity and dynamics of various proteome layers within the kidney to better understand physiology and pathophysiology, and to translate signaling networks into therapies. Yet, the success of this endeavor will largely depend on improving proteomic data acquisition methods toward increased reproducibility. Here, we provide an overview of targeted proteomics studies in renal tissue and their insights into major renal diseases such as diabetic nephropathy, acute kidney injury and chronic kidney disease. The technical approaches currently include antibody-based and mass spectrometry based approaches, range from single-cells to single-nephrons to bulk tissue proteomic acquisitions, and are applied to physiological studies and translational approaches in biomarker discovery. Within this context, we identify key challenges in proteomics of kidney biopsies. We also suggest that novel models of translational nephrology have increased need for targeted acquisition of proteomics data with focus on primary urinary cells, organoids and induced renal epithelial cells (IRECs). In conclusion, targeted proteomics will be very beneficial to identify heterogenic disease mechanisms that drive renal disease and further emerge as an important tool in translational kidney research. SIGNIFICANCE: Improved targeted proteomics technologies will be an important cornerstone of renal systems medicine in order to identify and tackle the heterogenic disease mechanisms driving renal disease.