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Association between hyperlipidemia and nephrolithiasis: A comprehensive bioinformatics analysis deciphering the
Zhikai Su1, Zhenjie Ling1, Haoqiang Chen1
1Guangzhou University of Chinese Medicine, Guangzhou, China.
Plos One
|April 17, 2025
Summary
This study identifies three key genes (HSP90AB1, HSPA5, and STUB1) as potential biomarkers for diagnosing nephrolithiasis and hyperlipidemia simultaneously. These findings offer insights into the shared pathogenesis of these conditions.
Area of Science:
- Bioinformatics
- Genomics
- Systems Biology
Background:
- Nephrolithiasis (kidney stones) and hyperlipidemia (high cholesterol) are common conditions.
- Evidence suggests a potential link between these two diseases, but their shared underlying mechanisms remain unclear.
Purpose of the Study:
- To identify diagnostic biomarkers for nephrolithiasis in patients with hyperlipidemia.
- To explore the common pathogenic pathways shared by nephrolithiasis and hyperlipidemia using bioinformatics analysis.
Main Methods:
- Utilized NCBI Gene Expression Omnibus (GEO) datasets for nephrolithiasis and hyperlipidemia.
- Applied differential gene expression analysis, Gene Set Enrichment Analysis (GSEA), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis.
- Employed Weighted Gene Co-expression Network Analysis (WGCNA), protein-protein interaction (PPI) network analysis, and least absolute shrinkage and selection operator (Lasso) regression for biomarker identification.
Main Results:
- Identified 167 differentially expressed genes (DEGs) and 74 hub genes.
- Discovered three highly valid diagnostic genes: HSP90AB1, HSPA5, and STUB1.
- Found that these diagnostic genes are primarily involved in cellular metabolism pathways.
Conclusions:
- Successfully identified three candidate genes (HSP90AB1, HSPA5, STUB1) for predicting concurrent nephrolithiasis and hyperlipidemia.
- These findings provide a basis for understanding the shared pathogenesis and developing diagnostic strategies for these conditions.
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