{"title":"Association between erythritol and lung cancer: a two-sample Mendelian randomization study.","authors":"Yongsheng Zhao, Renyan Zheng, Kexin Luo, Haiyang Zhao, Wanping Xiang","doi":"10.1186/s12986-025-00916-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Sweeteners have been widely added to food and beverages due to their low-calorie and sweetening properties. However, the role of sweeteners in cancer risk has been a subject of extensive debate over the past few decades.</p><p><strong>Objective: </strong>We aimed to elucidate the causation between the commonly used natural sweetener erythritol and the risk of lung cancer (LC) using Mendelian randomization (MR).</p><p><strong>Methods: </strong>Data on erythritol and its metabolites were obtained from publicly available genome-wide association studies data. Summary data on LC and its subtypes were obtained from a large-scale genetic study conducted by the Transdisciplinary Research of Cancer in Lung of the International Lung Cancer Consortium and the Lung Cancer Cohort Consortium. We conducted independent two-sample MR analyses to assess the causation between erythritol and LC and its subtypes.</p><p><strong>Results: </strong>The inverse variance weighted method of MR analysis showed no evidence supporting causation between erythritol and LC or its histological subtypes. Sensitivity analysis further supported the results.</p><p><strong>Conclusion: </strong>Our study findings do not support genetic association between erythritol and LC or its subtypes.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":"22 1","pages":"28"},"PeriodicalIF":3.9000,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-025-00916-1","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Association between erythritol and lung cancer: a two-sample Mendelian randomization study.
Background: Sweeteners have been widely added to food and beverages due to their low-calorie and sweetening properties. However, the role of sweeteners in cancer risk has been a subject of extensive debate over the past few decades.
Objective: We aimed to elucidate the causation between the commonly used natural sweetener erythritol and the risk of lung cancer (LC) using Mendelian randomization (MR).
Methods: Data on erythritol and its metabolites were obtained from publicly available genome-wide association studies data. Summary data on LC and its subtypes were obtained from a large-scale genetic study conducted by the Transdisciplinary Research of Cancer in Lung of the International Lung Cancer Consortium and the Lung Cancer Cohort Consortium. We conducted independent two-sample MR analyses to assess the causation between erythritol and LC and its subtypes.
Results: The inverse variance weighted method of MR analysis showed no evidence supporting causation between erythritol and LC or its histological subtypes. Sensitivity analysis further supported the results.
Conclusion: Our study findings do not support genetic association between erythritol and LC or its subtypes.
期刊介绍：
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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