Genetically predicted causal link between the plasma lipidome and pancreatic diseases: a bidirectional Mendelian randomization study.

IF 4 2区 农林科学 Q2 NUTRITION & DIETETICS Frontiers in Nutrition Pub Date : 2025-01-15 eCollection Date: 2024-01-01 DOI:10.3389/fnut.2024.1466509
Liaoyi Lin, Yingbao Huang, Songzan Qian, Lifang Chen, Houzhang Sun
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Abstract

Background: Recent studies have increasingly emphasized the strong correlation between the lipidome and the risk of pancreatic diseases. To determine causality, a Mendelian randomization (MR) analysis was performed to identify connections between the lipidome and pancreatic diseases.

Methods: Statistics from a genome-wide association study of the plasma lipidome, which included a diverse array of 179 lipid species, were obtained from the GeneRISK cohort study with 7,174 participants. Genetic associations with four types of pancreatitis and pancreatic cancer were sourced from the R11 release of the FinnGen consortium. Two pancreatitis datasets from UK Biobank were employed as the validation cohort. MR analysis was conducted to assess the relationship between the genetically predicted plasma lipidome and these pancreatic diseases. Inverse variance weighted was adopted as the main statistical method. Bayesian weighted MR was employed for further verification. The MR-Egger intercept test for pleiotropy and Cochrane's Q statistics test for heterogeneity were performed to ensure the robustness.

Results: MR analysis yielded significant evidence that 26, 25, 2, and 19 lipid species were correlated with diverse outcomes of pancreatitis, and 8 lipid species were correlated with pancreatic cancer. Notably, sterol ester (27:1/20:2) levels (OR: 0.84, 95% CI: 0.78-0.90, P = 5.79 × 10-7) were significantly associated with acute pancreatitis, and phosphatidylcholine (17:0_20:4) levels (OR: 0.89, 95% CI: 0.84-0.94, P = 1.78 × 10-4) and sterol ester (27:1/20:4) levels (OR: 0.90, 95% CI: 0.86-0.95, P = 2.71 × 10-4) levels were significantly associated with chronic pancreatitis after the Bonferroni-corrected test. As for validation, 14 and 9 lipid species were correlated with acute and chronic pancreatitis of UK Biobank. Some lipid classes showed significant effects both in the FinnGen consortium and UK Biobank datasets.

Conclusions: The findings of this study indicate a potential genetic predisposition linking the plasma lipidome to pancreatic diseases and good prospects for future pancreatic disease clinical trials.

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血浆脂质组与胰腺疾病之间的遗传预测因果关系:一项双向孟德尔随机研究。
背景:近年来的研究越来越强调脂质组与胰腺疾病风险之间的相关性。为了确定因果关系,进行了孟德尔随机化(MR)分析,以确定脂质组与胰腺疾病之间的联系。方法:从有7174名参与者的GeneRISK队列研究中获得了血浆脂质组全基因组关联研究的统计数据,其中包括179种脂质。与四种类型的胰腺炎和胰腺癌的遗传关联来源于FinnGen联盟的R11发布。来自UK Biobank的两个胰腺炎数据集被用作验证队列。进行磁共振分析以评估遗传预测的血浆脂质组与这些胰腺疾病之间的关系。采用方差逆加权作为主要的统计方法。采用贝叶斯加权磁共振进一步验证。多效性采用MR-Egger截距检验,异质性采用Cochrane’s Q统计检验,以确保稳健性。结果:MR分析发现26、25、2、19种脂质与胰腺炎的多种预后相关,8种脂质与胰腺癌相关。值得注意的是,经bonferroni校正后,甾醇酯(27:1/20:2)水平(OR: 0.84, 95% CI: 0.78-0.90, P = 5.79 × 10-7)与急性胰腺炎显著相关,磷脂酰胆碱(17:0 ~ 20:4)水平(OR: 0.89, 95% CI: 0.84-0.94, P = 1.78 × 10-4)和甾醇酯(27:1/20:4)水平(OR: 0.90, 95% CI: 0.86-0.95, P = 2.71 × 10-4)水平与慢性胰腺炎显著相关。验证方面,有14种和9种脂质与UK Biobank的急慢性胰腺炎相关。在FinnGen联盟和UK Biobank数据集中,一些脂类显示出显著的影响。结论:本研究结果表明,血浆脂质组与胰腺疾病有潜在的遗传易感性,在未来的胰腺疾病临床试验中具有良好的前景。
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来源期刊
Frontiers in Nutrition
Frontiers in Nutrition Agricultural and Biological Sciences-Food Science
CiteScore
5.20
自引率
8.00%
发文量
2891
审稿时长
12 weeks
期刊介绍: No subject pertains more to human life than nutrition. The aim of Frontiers in Nutrition is to integrate major scientific disciplines in this vast field in order to address the most relevant and pertinent questions and developments. Our ambition is to create an integrated podium based on original research, clinical trials, and contemporary reviews to build a reputable knowledge forum in the domains of human health, dietary behaviors, agronomy & 21st century food science. Through the recognized open-access Frontiers platform we welcome manuscripts to our dedicated sections relating to different areas in the field of nutrition with a focus on human health. Specialty sections in Frontiers in Nutrition include, for example, Clinical Nutrition, Nutrition & Sustainable Diets, Nutrition and Food Science Technology, Nutrition Methodology, Sport & Exercise Nutrition, Food Chemistry, and Nutritional Immunology. Based on the publication of rigorous scientific research, we thrive to achieve a visible impact on the global nutrition agenda addressing the grand challenges of our time, including obesity, malnutrition, hunger, food waste, sustainability and consumer health.
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