ArticleScientific reports2025
Polygenic insight identifies precision biomarkers decoding protein catabolism and autophagy pathways in obstructive sleep apnea.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Obstructive sleep apnea (OSA) is a common sleep disorder characterized by recurrent upper airway obstructions, leading to substantial health burdens and socioeconomic costs. This study aimed to identify Hypoxia and Mitophagy-Related Differentially Expressed Genes (HMRDEGs) and evaluate their potential as biomarkers and therapeutic targets for OSA. Transcriptomic data from GSE135917 and GSE38792 in the GEO database were analyzed using the limma package to identify differentially expressed genes (DEGs), which were subsequently intersected with hypoxia- and mitophagy-related gene sets(HMRGs) curated from GeneCards and PubMed. A total of 24 HMRDEGs were identified, and four hub genes-NLRP3, MAPK9, RBBP4, and CLINT1-were used to construct a diagnostic model that demonstrated excellent discrimination (AUC = 0.982 in the training set and 0.812 in the validation set). Gene Ontology and KEGG analyses linked these genes to protein catabolism and autophagy pathways, while immune-cell infiltration profiling associated them with specific leukocyte subsets. Collectively, our findings underscore hypoxia-mitophagy crosstalk as a central mechanism in OSA and present a robust biomarker panel with therapeutic potential.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.