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Integrated Transcriptomics and Machine Learning Identify NALCN and KCNQ1 as Key Ion Channel Genes in Kidney Stone Pathogenesis and Potential Therapeutic Targets

2026-02-20

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<title>Abstract</title> <p>Background Disrupted ion balance contributes to kidney stone (KS) formation via metabolic, inflammatory, and cellular injury pathways. This study aimed to identify critical ion channel-related genes (ICRGs) and their mechanisms in KS. Methods Using KS transcriptome datasets and ICRG information, key genes were identified through differential expression analysis and machine learning. S...

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Literature Corpus work
3aafcbc5-662a-5d08-bf85-41972d354c65
DOI
10.21203/rs.3.rs-8883107/v1
Open publication

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Integrated Transcriptomics and Machine Learning Identify NALCN and KCNQ1 as Key Ion Channel Genes in Kidney Stone Pathogenesis and Potential Therapeutic TargetsDOI 10.21203/rs.3.rs-8883107/v1
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