The role of circulating polyunsaturated fatty acids in mediating the effect of BMI on leukocyte telomere length: analysis using Mendelian randomization.
Li Tan, Meng-Mei Zhong, Ya-Qiong Zhao, Yao Feng, Qin Ye, Jing Hu, Ze-Yue Ou-Yang, Ning-Xin Chen, Xiao-Lin Su, Qian Zhang, Qiong Liu, Hui Yuan, Min-Yuan Wang, Yun-Zhi Feng, Yue Guo
{"title":"The role of circulating polyunsaturated fatty acids in mediating the effect of BMI on leukocyte telomere length: analysis using Mendelian randomization.","authors":"Li Tan, Meng-Mei Zhong, Ya-Qiong Zhao, Yao Feng, Qin Ye, Jing Hu, Ze-Yue Ou-Yang, Ning-Xin Chen, Xiao-Lin Su, Qian Zhang, Qiong Liu, Hui Yuan, Min-Yuan Wang, Yun-Zhi Feng, Yue Guo","doi":"10.1186/s12986-024-00882-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>polyunsaturated fatty acids (PUFAs) are a category of fatty acids that contain omega-3 and omega-6 fatty acids, which constitute a substantial portion of the Western diet and are vital for maintaining human wellness. The extent to which circulating PUFAs influence the effects of BMI on leukocyte telomere length (LTL) is unknown. Additionally, the impact of circulating PUFA on LTL remains controversial in observational studies.</p><p><strong>Methods: </strong>Using publicly accessible datasets, a genome-wide association study (GWAS) was carried out to determine genetic association estimates for BMI, circulating PUFAs, and LTL. The circulating PUFAs considered were omega-3 PUFAs (i.e., docosahexaenoic acid (DHA) and total omega-3 PUFAs) and omega-6 PUFAs (i.e., linoleic acid (LA) and total omega-6 PUFAs). Two-sample Mendelian randomization (MR) was used to investigate the causal relationships between BMI and PUFA with LTL. Additionally, we examined whether certain PUFA mediate the impact of BMI on LTL.</p><p><strong>Results: </strong>None of the evidence supported a causal effect of genetically predicted DHA and total omega-3 PUFA on LTL (DHA: β = 0.001, 95% CI: -0.023 to 0.026, p = 0.926; total omega-3 PUFA: β = 0.008, 95% CI: -0.013 to 0.029, p = 0.466). After conducting sensitivity analyses to account for various models of horizontal pleiotropy, the causal association between higher levels of LA and longer LTL persisted (β = 0.034, 95% CI 0.016 to 0.052, p < 0.001). Adjusting for LA in genetics reduced the effect of BMI on LTL from β = -0.039 (95% CI: -0.058 to -0.020, p < 0.001) to -0.034 (95% CI: -0.054 to -0.014, p < 0.001).</p><p><strong>Conclusions: </strong>This MR study indicates that an increase in genetically predicted circulating LA levels is associated with longer LTL. Additionally, it appears that circulating LA levels play a role in mediating some of the impact that BMI has on LTL.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":"21 1","pages":"104"},"PeriodicalIF":3.9000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11619204/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-024-00882-0","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: polyunsaturated fatty acids (PUFAs) are a category of fatty acids that contain omega-3 and omega-6 fatty acids, which constitute a substantial portion of the Western diet and are vital for maintaining human wellness. The extent to which circulating PUFAs influence the effects of BMI on leukocyte telomere length (LTL) is unknown. Additionally, the impact of circulating PUFA on LTL remains controversial in observational studies.
Methods: Using publicly accessible datasets, a genome-wide association study (GWAS) was carried out to determine genetic association estimates for BMI, circulating PUFAs, and LTL. The circulating PUFAs considered were omega-3 PUFAs (i.e., docosahexaenoic acid (DHA) and total omega-3 PUFAs) and omega-6 PUFAs (i.e., linoleic acid (LA) and total omega-6 PUFAs). Two-sample Mendelian randomization (MR) was used to investigate the causal relationships between BMI and PUFA with LTL. Additionally, we examined whether certain PUFA mediate the impact of BMI on LTL.
Results: None of the evidence supported a causal effect of genetically predicted DHA and total omega-3 PUFA on LTL (DHA: β = 0.001, 95% CI: -0.023 to 0.026, p = 0.926; total omega-3 PUFA: β = 0.008, 95% CI: -0.013 to 0.029, p = 0.466). After conducting sensitivity analyses to account for various models of horizontal pleiotropy, the causal association between higher levels of LA and longer LTL persisted (β = 0.034, 95% CI 0.016 to 0.052, p < 0.001). Adjusting for LA in genetics reduced the effect of BMI on LTL from β = -0.039 (95% CI: -0.058 to -0.020, p < 0.001) to -0.034 (95% CI: -0.054 to -0.014, p < 0.001).
Conclusions: This MR study indicates that an increase in genetically predicted circulating LA levels is associated with longer LTL. Additionally, it appears that circulating LA levels play a role in mediating some of the impact that BMI has on LTL.
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.