缬氨酸对卵巢癌的因果效应:双向孟德尔随机化分析。

IF 2 4区 医学 Q3 NUTRITION & DIETETICS Nutrition and Cancer-An International Journal Pub Date : 2025-01-01 Epub Date: 2025-01-02 DOI:10.1080/01635581.2024.2445870
Xinyan Gao, Yanling Lin, Jun Zhang, Xiaoxiang Jiang, Riping Wu, Dongta Zhong
{"title":"缬氨酸对卵巢癌的因果效应:双向孟德尔随机化分析。","authors":"Xinyan Gao, Yanling Lin, Jun Zhang, Xiaoxiang Jiang, Riping Wu, Dongta Zhong","doi":"10.1080/01635581.2024.2445870","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Ovarian cancer is a lethal female cancer with a rising incidence that is often diagnosed late due to a lack of symptoms, affecting survival and quality of life. Studies suggest that dietary factors, especially the levels of branched-chain amino acids such as valine, may influence its development. While valine is essential for metabolism, its specific role in ovarian cancer remains unclear, necessitating further research.</p><p><strong>Methods: </strong>This study aimed to elucidate the causal relationship between valine and OC through a bidirectional Mendelian randomization (MR) approach. Data were sourced from the IEU OpenGWAS project, encompassing genome-wide association statistics for valine (<i>N</i> = 115,048) and OC (Ncase = 1,218, Ncontrol = 198,523) among European participants. Independent genetic variants associated with each phenotype at genome-wide significance were employed as instrumental variables (IVs). The primary analysis utilized the inverse variance weighted (IVW) method for two-sample MR analysis. MR‒Egger regression was applied to adjust for potential pleiotropy, whereas the weighted median method provided robust causal estimates under the assumption of valid IVs. Sensitivity analyses, including leave-one-out (LOO) analysis, heterogeneity tests, and horizontal pleiotropy assessments, were conducted to ensure the robustness of the findings.</p><p><strong>Results: </strong>The results revealed a significant causal relationship between valine and OC, identifying valine as a risk factor for OC (<i>p</i> = 0.043, 95% CI = 1.00008-1.00491, OR = 1.00249) in the forward MR analysis. Sensitivity analyses confirmed the absence of heterogeneity (Q_p value >0.05) and horizontal pleiotropy (<i>p</i> > 0.05), and LOO analysis validated the stability of the results. Conversely, reverse MR analysis revealed no causal effect of OC on valine levels (<i>p</i> = 0.875, 95% CI = 0.34125-2.51495, OR = 1.08528).</p><p><strong>Conclusions: </strong>These findings reveal a causal link between high valine levels and an increased OC risk. This research highlights the monitoring of valine levels as a preventive strategy and the significance of valine metabolism in OC. Future studies are needed to investigate the mechanisms and interventions for reducing risk, offering insights for clinical practice and public health initiatives in OC prevention.</p>","PeriodicalId":54701,"journal":{"name":"Nutrition and Cancer-An International Journal","volume":" ","pages":"405-413"},"PeriodicalIF":2.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Causal Effects of Valine on Ovarian Cancer: A Bidirectional Mendelian Randomization Analysis.\",\"authors\":\"Xinyan Gao, Yanling Lin, Jun Zhang, Xiaoxiang Jiang, Riping Wu, Dongta Zhong\",\"doi\":\"10.1080/01635581.2024.2445870\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Ovarian cancer is a lethal female cancer with a rising incidence that is often diagnosed late due to a lack of symptoms, affecting survival and quality of life. Studies suggest that dietary factors, especially the levels of branched-chain amino acids such as valine, may influence its development. While valine is essential for metabolism, its specific role in ovarian cancer remains unclear, necessitating further research.</p><p><strong>Methods: </strong>This study aimed to elucidate the causal relationship between valine and OC through a bidirectional Mendelian randomization (MR) approach. Data were sourced from the IEU OpenGWAS project, encompassing genome-wide association statistics for valine (<i>N</i> = 115,048) and OC (Ncase = 1,218, Ncontrol = 198,523) among European participants. Independent genetic variants associated with each phenotype at genome-wide significance were employed as instrumental variables (IVs). The primary analysis utilized the inverse variance weighted (IVW) method for two-sample MR analysis. MR‒Egger regression was applied to adjust for potential pleiotropy, whereas the weighted median method provided robust causal estimates under the assumption of valid IVs. Sensitivity analyses, including leave-one-out (LOO) analysis, heterogeneity tests, and horizontal pleiotropy assessments, were conducted to ensure the robustness of the findings.</p><p><strong>Results: </strong>The results revealed a significant causal relationship between valine and OC, identifying valine as a risk factor for OC (<i>p</i> = 0.043, 95% CI = 1.00008-1.00491, OR = 1.00249) in the forward MR analysis. Sensitivity analyses confirmed the absence of heterogeneity (Q_p value >0.05) and horizontal pleiotropy (<i>p</i> > 0.05), and LOO analysis validated the stability of the results. Conversely, reverse MR analysis revealed no causal effect of OC on valine levels (<i>p</i> = 0.875, 95% CI = 0.34125-2.51495, OR = 1.08528).</p><p><strong>Conclusions: </strong>These findings reveal a causal link between high valine levels and an increased OC risk. This research highlights the monitoring of valine levels as a preventive strategy and the significance of valine metabolism in OC. Future studies are needed to investigate the mechanisms and interventions for reducing risk, offering insights for clinical practice and public health initiatives in OC prevention.</p>\",\"PeriodicalId\":54701,\"journal\":{\"name\":\"Nutrition and Cancer-An International Journal\",\"volume\":\" \",\"pages\":\"405-413\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition and Cancer-An International Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/01635581.2024.2445870\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition and Cancer-An International Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/01635581.2024.2445870","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/2 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0

摘要

背景:卵巢癌是一种发病率不断上升的致死性女性癌症,常因无症状而诊断较晚,影响生存和生活质量。研究表明,饮食因素,特别是支链氨基酸如缬氨酸的水平,可能会影响其发展。虽然缬氨酸对新陈代谢至关重要,但其在卵巢癌中的具体作用尚不清楚,需要进一步研究。方法:本研究旨在通过双向孟德尔随机化(MR)方法阐明缬氨酸与OC之间的因果关系。数据来自IEU OpenGWAS项目,包括欧洲参与者中缬氨酸(N = 115,048)和OC (N = 1,218, N = 198,523)的全基因组关联统计数据。在全基因组意义上与每种表型相关的独立遗传变异被用作工具变量(IVs)。初步分析采用反方差加权(IVW)方法进行双样本MR分析。采用MR-Egger回归来调整潜在的多效性,而加权中位数法在有效iv的假设下提供了稳健的因果估计。进行敏感性分析,包括遗漏(LOO)分析、异质性检验和水平多效性评估,以确保研究结果的稳健性。结果:结果显示缬氨酸与OC之间存在显著的因果关系,确定缬氨酸是OC的危险因素(p = 0.043, 95% CI = 1.00008-1.00491, OR = 1.00249)。敏感性分析证实不存在异质性(Q_p值>.05)和水平多效性(p >0.05), LOO分析验证了结果的稳定性。相反,反向MR分析显示OC对缬氨酸水平没有因果关系(p = 0.875, 95% CI = 0.34125-2.51495, OR = 1.08528)。结论:这些发现揭示了高缬氨酸水平与OC风险增加之间的因果关系。本研究强调了监测缬氨酸水平作为一种预防策略,以及缬氨酸代谢在OC中的意义。未来的研究需要探讨降低风险的机制和干预措施,为临床实践和公共卫生倡议提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Causal Effects of Valine on Ovarian Cancer: A Bidirectional Mendelian Randomization Analysis.

Background: Ovarian cancer is a lethal female cancer with a rising incidence that is often diagnosed late due to a lack of symptoms, affecting survival and quality of life. Studies suggest that dietary factors, especially the levels of branched-chain amino acids such as valine, may influence its development. While valine is essential for metabolism, its specific role in ovarian cancer remains unclear, necessitating further research.

Methods: This study aimed to elucidate the causal relationship between valine and OC through a bidirectional Mendelian randomization (MR) approach. Data were sourced from the IEU OpenGWAS project, encompassing genome-wide association statistics for valine (N = 115,048) and OC (Ncase = 1,218, Ncontrol = 198,523) among European participants. Independent genetic variants associated with each phenotype at genome-wide significance were employed as instrumental variables (IVs). The primary analysis utilized the inverse variance weighted (IVW) method for two-sample MR analysis. MR‒Egger regression was applied to adjust for potential pleiotropy, whereas the weighted median method provided robust causal estimates under the assumption of valid IVs. Sensitivity analyses, including leave-one-out (LOO) analysis, heterogeneity tests, and horizontal pleiotropy assessments, were conducted to ensure the robustness of the findings.

Results: The results revealed a significant causal relationship between valine and OC, identifying valine as a risk factor for OC (p = 0.043, 95% CI = 1.00008-1.00491, OR = 1.00249) in the forward MR analysis. Sensitivity analyses confirmed the absence of heterogeneity (Q_p value >0.05) and horizontal pleiotropy (p > 0.05), and LOO analysis validated the stability of the results. Conversely, reverse MR analysis revealed no causal effect of OC on valine levels (p = 0.875, 95% CI = 0.34125-2.51495, OR = 1.08528).

Conclusions: These findings reveal a causal link between high valine levels and an increased OC risk. This research highlights the monitoring of valine levels as a preventive strategy and the significance of valine metabolism in OC. Future studies are needed to investigate the mechanisms and interventions for reducing risk, offering insights for clinical practice and public health initiatives in OC prevention.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
5.80
自引率
3.40%
发文量
172
审稿时长
3 months
期刊介绍: This timely publication reports and reviews current findings on the effects of nutrition on the etiology, therapy, and prevention of cancer. Etiological issues include clinical and experimental research in nutrition, carcinogenesis, epidemiology, biochemistry, and molecular biology. Coverage of therapy focuses on research in clinical nutrition and oncology, dietetics, and bioengineering. Prevention approaches include public health recommendations, preventative medicine, behavior modification, education, functional foods, and agricultural and food production policies.
期刊最新文献
Association of Body Composition Parameters with the Short- and Long-Term Efficacy of Neoadjuvant Immunotherapy Combined with Chemotherapy in Advanced Gastric Cancer. Didymin Inhibits Proliferation and Induces Apoptosis in Gastric Cancer Cells by Modulating the PI3K/Akt Pathway. Coconut Milk Consumption and Breast Cancer Risk in Thai Women: A Case-Control Study. Association Between Sarcopenia, Clinical Outcomes, and Survival in Patients with Extensive-Stage Small Cell Lung Cancer Treated with First-Line Immunochemotherapy: A Prospective Cohort Study. CT Derived Measurement of Body Composition: Observations from a Comparative Analysis of Patients with Colorectal and Lung Cancer.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1