Shared Molecular Mechanisms and Diagnostic Markers Identified in IgA Nephropathy and Celiac Disease
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Researchers have identified overlapping biological pathways between IgA nephropathy and celiac disease, two autoimmune conditions that frequently occur together, using advanced transcriptomic and machine learning techniques. The study pinpointed potential hub genes with diagnostic value for both conditions, validated across multiple independent patient cohorts. For people living with celiac disease, these findings may eventually support earlier or more precise screening for associated kidney involvement.
Abstract
IgA nephropathy (IgAN) and celiac disease (CeD) are autoimmune disorders characterized by dysregulated immune responses; however, the molecular mechanisms underlying their comorbidity remain incompletely understood. Researchers integrated transcriptomic datasets from IgAN and CeD to perform differential expression analysis, weighted gene co-expression network analysis (WGCNA), functional enrichment analysis, and machine learning-based hub gene identification.
The expression profiles and diagnostic performance of the identified hub genes were validated across multiple independent cohorts using receiver operating characteristic (ROC) analysis, and their cellular localization was further explored using single-cell RNA sequencing data. Clinical correlation analyses were also conducted to characterize the relationship between identified markers and disease activity.
This integrative approach revealed shared immune and molecular pathways that may explain the known comorbidity of these two conditions. The identified hub genes demonstrated strong diagnostic performance across validation cohorts, offering potential utility for simultaneous or sequential screening in patients presenting with either condition.
