Multi-omics analyses prioritize potential biomarkers and drug targets for obstructive sleep apnea

Abstract Study Objectives Obstructive sleep apnea (OSA) remains a prevalent sleep disorder with incompletely characterized molecular mechanisms and evolving pharmacological options. We aimed to identify molecular biomarkers associated with OSA and prioritize candidates for further evaluation. Methods OSA genome-wide association study summary statistics were analyzed with blood- and brain-derived expression and protein quantitative trait loci (QTL) data using transcriptome-wide and proteome-wide association studies. Summary data-based Mendelian randomization (MR), HEIDI testing and Bayesian colocalization were then used to evaluate the identified genes and proteins. Candidate biomarkers were assessed using alternative QTL resources and OSA GWAS data. Multivariable MR assessed eligible associations after accounting for body mass index (BMI). Functional enrichment, methylation-related analyses, and pharmacological analyses provided downstream characterization. Results 28 unique genes and proteins were prioritized across blood/plasma and brain. 18 candidate biomarkers were supported using alternative QTL resources and the independent OSA GWAS dataset. Among assessable biomarkers, MAP7D1, MCM6, L3MBTL2, and LCT remained associated with OSA after accounting for BMI, whereas PCSK1 and most other associations were attenuated. Enrichment analyses implicated glucose metabolism, autophagy-lysosome processes and apoptosis-related pathways. Mediation analyses identified 43 significant indirect effects of 41 CpG sites on OSA through gene expression or protein abundance. Drug-database screening identified candidate drugs for several biomarkers, while molecular docking supported target-compound interactions involving BID and GPD2. Conclusions This study prioritized 28 molecular biomarkers associated with OSA and further characterized their biological and regulatory context, while selected candidates warrant further experimental evaluation.

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Publication Details

Journal
SLEEP
Published
2026-10-01
DOI
https://doi.org/10.1093/sleep/zsag262
Primary Topic
Obstructive Sleep Apnea Research
Type
article
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article

Multi-omics analyses prioritize potential biomarkers and drug targets for obstructive sleep apnea

Shijie Jian, Minhan Yi, Yuan Zhang, Haiyan Ouyang et al.
SLEEP
Obstructive Sleep Apnea Research
article

Multi-omics analyses prioritize potential biomarkers and drug targets for obstructive sleep apnea

Shijie Jian, Minhan Yi, Yuan Zhang, Haiyan Ouyang, Yanxuan Wu, Liangchen Lv, Ziliang Chen
article en

Abstract

Abstract Study Objectives Obstructive sleep apnea (OSA) remains a prevalent sleep disorder with incompletely characterized molecular mechanisms and evolving pharmacological options. We aimed to identify molecular biomarkers associated with OSA and prioritize candidates for further evaluation. Methods OSA genome-wide association study summary statistics were analyzed with blood- and brain-derived expression and protein quantitative trait loci (QTL) data using transcriptome-wide and proteome-wide association studies. Summary data-based Mendelian randomization (MR), HEIDI testing and Bayesian colocalization were then used to evaluate the identified genes and proteins. Candidate biomarkers were assessed using alternative QTL resources and OSA GWAS data. Multivariable MR assessed eligible associations after accounting for body mass index (BMI). Functional enrichment, methylation-related analyses, and pharmacological analyses provided downstream characterization. Results 28 unique genes and proteins were prioritized across blood/plasma and brain. 18 candidate biomarkers were supported using alternative QTL resources and the independent OSA GWAS dataset. Among assessable biomarkers, MAP7D1, MCM6, L3MBTL2, and LCT remained associated with OSA after accounting for BMI, whereas PCSK1 and most other associations were attenuated. Enrichment analyses implicated glucose metabolism, autophagy-lysosome processes and apoptosis-related pathways. Mediation analyses identified 43 significant indirect effects of 41 CpG sites on OSA through gene expression or protein abundance. Drug-database screening identified candidate drugs for several biomarkers, while molecular docking supported target-compound interactions involving BID and GPD2. Conclusions This study prioritized 28 molecular biomarkers associated with OSA and further characterized their biological and regulatory context, while selected candidates warrant further experimental evaluation.

SLEEP
Central South University (CN), Hunan Provincial Center for Disease Control and Prevention (CN), National Clinical Research (US), Xiangya Hospital Central South University (CN)
Good health and well-being
Openalex Percentile: Top 12%
Obstructive Sleep Apnea Research
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