Role of erythritol in coronary heart disease, ischemic stroke, and venous thromboembolism: A Mendelian randomization analysis

Erythritol, a widely used nonnutritive sweetener, has been linked to increased cardiovascular risk in observational studies. However, whether erythritol causally contributes to arterial and venous thrombotic diseases remains unclear. We performed a 2-sample Mendelian randomization (MR) study using 60 independent single nucleotide polymorphisms strongly associated with erythritol from a genome-wide association study of 8167 European individuals. Summary statistics for coronary heart disease, ischemic stroke, venous thromboembolism (VTE), pulmonary embolism (PE), and deep vein thrombosis (DVT) were obtained from the FinnGen consortium. The inverse-variance weighted method was the primary analysis, supplemented by MR-Egger, weighted median, and mode-based sensitivity analyses. Pleiotropy and heterogeneity were assessed. Genetically predicted higher erythritol levels were significantly associated with increased risks of coronary heart disease (odds ratio [OR] = 1.077, 95% confidence interval [CI]: 1.060-1.090) and ischemic stroke (OR = 1.157, 95% CI: 1.135-1.179), with consistent findings across sensitivity analyses and no evidence of pleiotropy. A suggestive association was observed for DVT (OR = 1.117, 95% CI: 1.077-1.158); however, causal effect directions for VTE and PE were inconsistent across MR methods. Additionally, MR-Egger intercept tests indicated potential horizontal pleiotropy for DVT, VTE, and PE. Our study suggests a potential role of erythritol in increasing the risk of coronary heart disease, ischemic stroke, and venous thromboembolism, which warrants further investigation.

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Journal
Medicine
Published
2025-10-24
DOI
https://doi.org/10.1097/md.0000000000045187
Primary Topic
Biochemical Analysis and Sensing Techniques
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article
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article

Role of erythritol in coronary heart disease, ischemic stroke, and venous thromboembolism: A Mendelian randomization analysis

Juan Jin, Jinqiao Wu, Yao Sun, Ze Peng et al.
Medicine
Biochemical Analysis and Sensing Techniques
article

Role of erythritol in coronary heart disease, ischemic stroke, and venous thromboembolism: A Mendelian randomization analysis

Juan Jin, Jinqiao Wu, Yao Sun, Ze Peng, Derrick Sun
article en

Abstract

Erythritol, a widely used nonnutritive sweetener, has been linked to increased cardiovascular risk in observational studies. However, whether erythritol causally contributes to arterial and venous thrombotic diseases remains unclear. We performed a 2-sample Mendelian randomization (MR) study using 60 independent single nucleotide polymorphisms strongly associated with erythritol from a genome-wide association study of 8167 European individuals. Summary statistics for coronary heart disease, ischemic stroke, venous thromboembolism (VTE), pulmonary embolism (PE), and deep vein thrombosis (DVT) were obtained from the FinnGen consortium. The inverse-variance weighted method was the primary analysis, supplemented by MR-Egger, weighted median, and mode-based sensitivity analyses. Pleiotropy and heterogeneity were assessed. Genetically predicted higher erythritol levels were significantly associated with increased risks of coronary heart disease (odds ratio [OR] = 1.077, 95% confidence interval [CI]: 1.060-1.090) and ischemic stroke (OR = 1.157, 95% CI: 1.135-1.179), with consistent findings across sensitivity analyses and no evidence of pleiotropy. A suggestive association was observed for DVT (OR = 1.117, 95% CI: 1.077-1.158); however, causal effect directions for VTE and PE were inconsistent across MR methods. Additionally, MR-Egger intercept tests indicated potential horizontal pleiotropy for DVT, VTE, and PE. Our study suggests a potential role of erythritol in increasing the risk of coronary heart disease, ischemic stroke, and venous thromboembolism, which warrants further investigation.

MedicineVol. 104(43)
First Affiliated Hospital of Heilongjiang University of Chinese Medicine (CN)
Openalex Percentile: Top 63%
Biochemical Analysis and Sensing Techniques
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