ArticleHuman genomics2026
Single-cell RNA-sequencing reveals cellular heterogeneity and identifies biomarkers for obstructive sleep apnea and migraine.
Article in Human genomics, 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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Abstract
backgroundObstructive sleep apnea (OSA), a prevalent sleep disorder associated with migraine, has unclear effects on cellular heterogeneity within this comorbid context.
resultsA total of 75,502 cells from five cell types were identified from OSA and non-OSA samples (GSE214865), while 20,243 cells from four cell types were identified from migraine and healthy control samples (GSE269117). T cells were the most abundant immune cells in patients with OSA and migraine. HIF-1/NF-κB signaling had significant activity. FOS, FOSB, PDE3B, KLF6, RPS26, MTRNR2L8, MT-ATP8, PLCG2, and CCR7 were the key biomarkers of both OSA and migraine. A TCMNP software-based network was constructed with drug prediction revealed significant associations between Ma Huang and Bai Guo and their active components TCM00192 and TCM02096. Natural killer T cells were the least differentiated subtype and were inferred to be the starting point, closely connected to CD8
conclusionSingle-cell RNA analysis revealed a shared T cell-centered immune-dysregulated landscape in OSA and migraine, identifying common biomarkers and key pathways. These findings provide a crucial foundation for understanding comorbidities and developing new therapies.
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