Abstract 4369515: Sex Differences in the Association of Obesity and Adiposity with Eicosanoid Metabolites

Introduction: Sex differences in obesity-related cardiovascular disease (CVD) are widely recognized, but the underlying inflammatory pathways driving these differences remain poorly understood. Eicosanoids are bioactive lipids that govern the upstream initiation of inflammatory activity and may mediate obesity-related cardiovascular risk. Objective: We examined sex differences in the associations of obesity and adiposity measures, including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), with over 800 eicosanoid metabolites. Methods: We studied Multi-Ethnic Study of Atherosclerosis (MESA) participants at exam 2 with available samples for eicosanoid analysis. Eicosanoids were assessed using a directed, non-targeted mass spectrometry-based platform. We examined the cross-sectional association of adiposity measures with eicosanoids using multivariable linear regression models. To assess sex differences, we included interaction terms (obesity measure × sex) and performed sex-stratified analyses. Analyses were considered significant at FDR q-value <0.05. Results: We included 5064 adults (age 63 ± 10 years; 53% women, BMI 28.3 ± 5.4 kg/m 2 ). Among 811 eicosanoids and related metabolites assayed, 61 displayed significant sex differences for at least one obesity measure ( Figure , FDR q <0.05 for sex interaction term). For example, lower BMI and other adiposity measures were associated with higher levels of linoleic acid derivatives (HpODE), with stronger associations in men vs women (men: β BMI ≈ -0.20, SE = 0.03, p ≈ 1.3×10 -6 ; women: β BMI ≈ -0.09, SE = 0.02, p ≈ 8.8×10 -7 ). Conversely, higher BMI and worse adiposity measures were associated with higher levels of prostaglandin A1, with stronger associations in men vs women (men: β BMI ≈ 0.28, SE = 0.02, p < 1×10 -12 ; women: β BMI ≈ 0.15, SE = 0.02, p < 1×10 -8 ). Conclusions: We found that sex modified the associations of obesity and adipose traits with pro- and anti-inflammatory eicosanoids. Lower levels of obesity measures were associated with higher levels of pro-inflammatory octadecadienoic acid derivatives (e.g., 13-HpODE), more pronounced in men, while higher levels of obesity measures were associated with higher levels of anti-inflammatory prostaglandin derivatives (e.g., PGA1), again more pronounced in men. These findings may reflect inflammatory pathways that contribute to sex differences in obesity-related cardiovascular disease.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4369515
Primary Topic
Cardiovascular Health and Risk Factors
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article
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article

Abstract 4369515: Sex Differences in the Association of Obesity and Adiposity with Eicosanoid Metabolites

Jennifer E. Ho, Mandana Chitsazan, Chiadi E. Ndumele, Norrina B. Allen et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4369515: Sex Differences in the Association of Obesity and Adiposity with Eicosanoid Metabolites

Jennifer E. Ho, Mandana Chitsazan, Chiadi E. Ndumele, Norrina B. Allen, Emily S. Lau, Albert W. Grundmann, Faye L. Norby, Mohit Jain, Juhi K. Parekh, Susan Cheng
article en

Abstract

Introduction: Sex differences in obesity-related cardiovascular disease (CVD) are widely recognized, but the underlying inflammatory pathways driving these differences remain poorly understood. Eicosanoids are bioactive lipids that govern the upstream initiation of inflammatory activity and may mediate obesity-related cardiovascular risk. Objective: We examined sex differences in the associations of obesity and adiposity measures, including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), with over 800 eicosanoid metabolites. Methods: We studied Multi-Ethnic Study of Atherosclerosis (MESA) participants at exam 2 with available samples for eicosanoid analysis. Eicosanoids were assessed using a directed, non-targeted mass spectrometry-based platform. We examined the cross-sectional association of adiposity measures with eicosanoids using multivariable linear regression models. To assess sex differences, we included interaction terms (obesity measure × sex) and performed sex-stratified analyses. Analyses were considered significant at FDR q-value <0.05. Results: We included 5064 adults (age 63 ± 10 years; 53% women, BMI 28.3 ± 5.4 kg/m 2 ). Among 811 eicosanoids and related metabolites assayed, 61 displayed significant sex differences for at least one obesity measure ( Figure , FDR q <0.05 for sex interaction term). For example, lower BMI and other adiposity measures were associated with higher levels of linoleic acid derivatives (HpODE), with stronger associations in men vs women (men: β BMI ≈ -0.20, SE = 0.03, p ≈ 1.3×10 -6 ; women: β BMI ≈ -0.09, SE = 0.02, p ≈ 8.8×10 -7 ). Conversely, higher BMI and worse adiposity measures were associated with higher levels of prostaglandin A1, with stronger associations in men vs women (men: β BMI ≈ 0.28, SE = 0.02, p < 1×10 -12 ; women: β BMI ≈ 0.15, SE = 0.02, p < 1×10 -8 ). Conclusions: We found that sex modified the associations of obesity and adipose traits with pro- and anti-inflammatory eicosanoids. Lower levels of obesity measures were associated with higher levels of pro-inflammatory octadecadienoic acid derivatives (e.g., 13-HpODE), more pronounced in men, while higher levels of obesity measures were associated with higher levels of anti-inflammatory prostaglandin derivatives (e.g., PGA1), again more pronounced in men. These findings may reflect inflammatory pathways that contribute to sex differences in obesity-related cardiovascular disease.

CirculationVol. 152(Suppl_3)
Northwestern University (US), Cedars-Sinai Medical Center (US), Beth Israel Deaconess Medical Center (US), University of Minnesota System (US), University of California San Diego (US), Massachusetts General Hospital (US), Chestnut Hill Hospital (US), Johns Hopkins Hospital (US)
Openalex Percentile: Top 51%
Cardiovascular Health and Risk Factors
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