Kidney Disease: From Pathophysiology to Personalized Approaches
This special issue belongs to the section "Physiology and Pathology".
Special Issue Information
Dear Colleagues,
Kidney disease is a biologically complex and clinically heterogeneous condition that remains a major challenge for modern medicine. Despite significant progress in nephrology, many of the molecular events that drive kidney injury, maladaptive repair, inflammation, and fibrosis are still not fully understood, particularly in the context of communication between renal cell populations and the development of disease-specific molecular signatures. At the same time, advances in transcriptomics, single-cell and spatial profiling, biomarker research, and integrative omics approaches are providing new opportunities to better define kidney disease at a mechanistic level and to support more precise diagnostic and therapeutic strategies.
This Special Issue aims to bring together original research articles and reviews focused on omics-based and biomarker-guided insights into kidney disease, with particular emphasis on cellular crosstalk and molecular mechanisms of disease progression. We welcome studies addressing acute kidney injury, chronic kidney disease, diabetic kidney disease, glomerular and tubular disorders, and renal fibrosis, especially those exploring intercellular signaling, disease-associated molecular profiles, biomarker discovery, and translationally relevant therapeutic targets.
By combining advanced molecular profiling with mechanistic insight and clinical relevance, this Special Issue seeks to provide a focused platform for research that connects kidney biology with emerging precision approaches. We hope this collection will highlight how omics technologies, biomarker discovery, and a deeper understanding of renal cell–cell communication can contribute to improved disease stratification, earlier detection, and more individualized kidney care.
Dr. Andreja Figurek
Dr. Venelin Mitov
Guest Editors
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Keywords
- kidney disease
- omics
- biomarkers
- cellular crosstalk
- transcriptomics
- spatial omics
- renal fibrosis

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