Approaches to proteinuria and nephrotic syndrome: the intricate landscape of integrative genomics and microRNAs

As a result of the development of omics technologies, there has been a significant increase in the amount of biological data, which has led to the utilization of machine learning (ML) as a powerful toolbox to gain knowledge and comprehend the biological patterns that lie under the surface. Nephrotic syndrome (NS) is a clinical illness that is associated with a high rate of morbidity and death. It is brought on by the breakdown of the glomerular filtration barrier, leading to excessive protein excretion in the urine. A holistic definition of illness is achieved by applying bioinformatics and computational approaches to comprehensive experimental, molecular, and clinical data through an integrative genomics approach to NS. In this chapter, integrated genomics will be presented, and suggestions will be made regarding how it can improve our understanding of NS and related kidney diseases.