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May 6, 2026Circulation0 citations

Abstract WE546: Sex-Specific Lipidomic Signatures Associated With Obstructive Sleep Apnea Severity

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YOYi Hui OuYZYu ZhangTSTamar Sofer

Key Points

  • This research aims to explore the association between obstructive sleep apnea severity and lipidomic signatures, emphasizing sex differences.
  • Analyzed lipidomic profiles from the Human Phenotype Project data.
  • Used multivariable regression models adjusted for age, sex, and BMI.
  • Performed sex-stratified analyses to identify significant lipid species associated with OSA.
  • Identified distinct lipidomic signatures linked to obstructive sleep apnea severity, particularly in females.
  • Found significant associations with Phosphatidylserines and variations in triacylglycerols related to obesity.
  • Highlight pronounced sex differences in lipid profiles concerning obstructive sleep apnea.

Abstract

Background: Obstructive sleep apnea (OSA) is a prevalent cardiometabolic disorder with known sex differences in presentation and diagnosis. The apnea–hypopnea index (AHI) often underrepresents disease severity in females. Although lipidomic alterations have been reported, few studies have systematically stratified these associations by sex or BMI. Hypothesis: We hypothesized that AHI and related OSA traits are associated with distinct circulating lipid profiles, and that these associations differ by sex. Methods: We analyzed data from the Human Phenotype Project, which includes home sleep apnea testing and targeted lipidomic profiling. A total of 143 lipid species were analyzed. Multivariable regression models were adjusted for age, sex, and BMI, with additional sex-stratified and interaction analyses performed. Statistical significance was defined as a false discovery rate <0. 05. OSA was defined as an AHI ≥15 events/hour. Results: Among 2887 adults (51. 6 % female), 25. 1% had OSA. In this subgroup, the mean age was 54. 54 ± 7. 75 years, mean BMI was 28. 67 ± 4. 11 kg/m 2, mean AHI was 24. 65 ± 9. 90 events/hour. Among these participants, 32. 8% had hypertension, 1. 3% had diabetes, and 24. 5 % reported excessive daytime sleepiness. (Table 1). In BMI-adjusted models, higher AHI was associated with elevated triacylglycerols (TAGs). For example, TAG (47. 0) showed β = 0. 007 (95% CI 0. 002 - 0. 011, FDR = 0. 014), and TAG (51. 1) showed β = 0. 009 (95% CI 0. 005–0. 013, FDR = 0. 001). Sex- stratified analysis identified 14 statistically significant lipids in female – 13 TAGs (TAG 47. 0, 47. 1, 49. 1, 50. 0, 50. 5, 51. 1, 51. 3, 51. 4, 53. 4, 54. 1, 56. 3, 58. 2, 60. 4) and one Phosphatidylserines (PS₃7. 2) that remained significant after BMI adjustment. No significant associations were found in males (Figure 1). Excessive daytime sleepiness was inversely associated with ceramides such as Cer d18: 1/24: 1 (β = –0. 120, 95% CI –0. 188 to –0. 052, FDR = 0. 031). Interaction testing confirmed pronounced sex differences in BMI-adjusted analysis, with all statistically significant associations having sex interaction p-value<0. 05. Conclusions: OSA traits, particularly AHI, are linked to distinct lipidomic signatures in females. A consistent set of 14 female-driven lipids—predominantly TAGs—persisted after BMI adjustment, suggesting BMI-independent pathways. These robust, female-specific TAG signals may represent reliable biomarkers of cardiometabolic risk in women with OSA.

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Ou et al. (2026) studied this question.

synapsesocial.com/papers/69fa983604f884e66b531f38https://doi.org/10.1161/cir.153.suppl_1.we546
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