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Congenital kidney anomalies frequently lead to development of CKD in children and adults, with limited possibility for accurate prognostication and successful intervention. Causal genetic variants are identified in a minority of individuals, while the biologic interpretation of putative genetic variants and their effect on kidney development and CKD remains incompletely understood. Advances in single-cell and spatial multiomics now enable a deeper biologic understanding and interpretation of disease-causing mechanisms of congenital kidney anomalies, holding promise for precise diagnoses, prognostication, and treatment for patients. In this review, we provide an overview of multiomics approaches, including transcriptomics, epigenomics, proteomics, and metabolomics, for characterizing and understanding the biology of human kidney development and disease. We will discuss the technical capabilities and challenges in mapping the spatial distribution of normal and abnormal developmental processes in the kidney. Moreover, we present three key multiomics case studies and discuss their experimental design considerations. Finally, future directions and the potential effect of multiomics approaches on the biologic understanding of kidney disease in development and adulthood are discussed. This review highlights that by integrating molecular insights, multiomics has the potential to transform our understanding of genetic (or variant-driven) and nongenetic kidney disease mechanisms and to advance precision diagnostics, prognostics, and therapies for congenital kidney anomalies.
Klomp et al. (Mon,) studied this question.