ArticleBioinformatics and biology insights2026
Tear MicroRNA-Based Molecular Signature for Keratoconus Stratification: A Cross-Cohort Integration Study.
Article in Bioinformatics and biology insights, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Keratoconus (KC) is a progressive corneal ectatic disorder characterized by structural remodeling and immune-associated molecular alterations. However, whether tear-derived microRNAs reflect corneal molecular changes remains unclear. We analyzed three publicly available corneal transcriptomic datasets (N = 112) to identify immune-associated gene expression patterns using differential expression analysis and Gene Set Enrichment Analysis. In a prospective tear cohort (N = 20), tear miRNA profiling was performed, and candidate miRNAs were selected using LASSO regression. miRNA patterns were integrated with immune-related transcriptomic alterations, and an exploratory molecular-structural index was constructed using standardized hsa-miR-326 expression and keratometry (K2). We identified immune-associated transcriptional alterations in KC corneas and derived a five-miRNA tear signature. The signature showed discriminatory performance in an independent corneal epithelial miRNA dataset (AUC = 0.89, 95% CI: 0.69-1.00; N = 16) and was further evaluated in an additional tear cohort using RT-qPCR (N = 52). Among these candidates, hsa-miR-326 showed consistent downregulation across datasets. Network analysis identified associations between candidate miRNAs and immune-related genes, including
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