Defining nephrotic syndrome from an integrative genomics perspective

Area of Science:

• Genomics
• Bioinformatics
• Systems Biology

Background:

• Nephrotic syndrome (NS) is characterized by massive proteinuria due to glomerular filtration barrier failure, leading to significant morbidity and mortality.
• Current diagnostic and prognostic classifications for NS lack precision, failing to fully explain its heterogeneity and underlying pathophysiology.
• A need exists for a more precise definition of NS to identify disease mechanisms and diverse clinical trajectories.

Purpose of the Study:

• To introduce the principles of integrative genomics for defining nephrotic syndrome.
• To explore how integrative genomics can deepen the understanding of NS from molecular and pathophysiological viewpoints.
• To present genome-scale experiments aimed at defining molecular signatures of NS.

Main Methods:

• Utilizing bioinformatics and computational methods to analyze comprehensive experimental, molecular, and clinical data in NS.
• Integrating multidimensional datasets, including genetic variation, gene expression, histology, and chronic kidney disease (CKD) progression.
• Introducing the Nephrotic Syndrome Study Network (NEPTUNE) as a prospective cohort study employing an integrated systems genomics approach.

Main Results:

• Integrative genomics facilitates holistic disease definition by analyzing diverse data types together.
• This approach aids in discovering NS-associated molecules, pathways, and biological networks.
• NEPTUNE aims to achieve comprehensive genomic disease definition and identify shared molecular drivers.

Conclusions:

• Integrative genomics provides a powerful framework for a more precise definition of nephrotic syndrome.
• This approach enhances the understanding of NS pathophysiology and clinical heterogeneity.
• Identifying molecular drivers through systems genomics is crucial for advancing NS diagnosis, prognosis, and treatment.