{"title":"英国生物库前瞻性队列中诊断前血浆代谢物与胆道癌症风险之间的关系。","authors":"Valerie Gunchick, Guochong Jia, Wanqing Wen, Jirong Long, Xiao-Ou Shu, Wei Zheng","doi":"10.1093/aje/kwae402","DOIUrl":null,"url":null,"abstract":"<p><p>Biliary tract cancer (BTC) is potentially influenced by metabolic dysregulation yet previous metabolomic evaluations are limited. To address this gap, we prospectively investigated associations of blood metabolites and BTC risk in the UK biobank cohort study. We used Cox proportional hazards models to estimate hazard ratios (HR) and 95% confidence intervals (95% CI) between 249 plasma metabolites per standard deviation and BTC risk in 232,781 participants. We implemented exploratory factor analyses and evaluated associations between factors and BTC risk. Associations at p-value<0.001 were considered statistically significant after multiple comparison adjustments. In a median follow-up of 11.8 years, we identified 268 first primary incident BTC cases. Of 49 biomarkers significantly associated with BTC risk, 12% were fatty acids, and 49%, 31%, and 8% were cholesterol, triglyceride, and phospholipid to total lipids ratios, respectively. Multiple cholesterol ratios were inversely associated with BTC with HRs (95% CIs) of 0.74 (0.65-0.84), p<6.0x10-6. Conversely, a triglyceride ratio was positively associated with BTC with an HR (95% CI) of 1.40 (1.22-1.61), p=2.5x10-6. Congruently, a factor high in cholesterol measures and low in triglyceride measures was inversely associated with BTC. Multiple metabolite biomarkers were associated with BTC risk, suggesting metabolism has a substantial role in BTC etiology.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":null,"pages":null},"PeriodicalIF":5.0000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Associations between pre-diagnostic plasma metabolites and biliary tract cancer risk in the prospective UK Biobank cohort.\",\"authors\":\"Valerie Gunchick, Guochong Jia, Wanqing Wen, Jirong Long, Xiao-Ou Shu, Wei Zheng\",\"doi\":\"10.1093/aje/kwae402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Biliary tract cancer (BTC) is potentially influenced by metabolic dysregulation yet previous metabolomic evaluations are limited. To address this gap, we prospectively investigated associations of blood metabolites and BTC risk in the UK biobank cohort study. We used Cox proportional hazards models to estimate hazard ratios (HR) and 95% confidence intervals (95% CI) between 249 plasma metabolites per standard deviation and BTC risk in 232,781 participants. We implemented exploratory factor analyses and evaluated associations between factors and BTC risk. Associations at p-value<0.001 were considered statistically significant after multiple comparison adjustments. In a median follow-up of 11.8 years, we identified 268 first primary incident BTC cases. Of 49 biomarkers significantly associated with BTC risk, 12% were fatty acids, and 49%, 31%, and 8% were cholesterol, triglyceride, and phospholipid to total lipids ratios, respectively. Multiple cholesterol ratios were inversely associated with BTC with HRs (95% CIs) of 0.74 (0.65-0.84), p<6.0x10-6. Conversely, a triglyceride ratio was positively associated with BTC with an HR (95% CI) of 1.40 (1.22-1.61), p=2.5x10-6. Congruently, a factor high in cholesterol measures and low in triglyceride measures was inversely associated with BTC. Multiple metabolite biomarkers were associated with BTC risk, suggesting metabolism has a substantial role in BTC etiology.</p>\",\"PeriodicalId\":7472,\"journal\":{\"name\":\"American journal of epidemiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/aje/kwae402\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/aje/kwae402","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Associations between pre-diagnostic plasma metabolites and biliary tract cancer risk in the prospective UK Biobank cohort.
Biliary tract cancer (BTC) is potentially influenced by metabolic dysregulation yet previous metabolomic evaluations are limited. To address this gap, we prospectively investigated associations of blood metabolites and BTC risk in the UK biobank cohort study. We used Cox proportional hazards models to estimate hazard ratios (HR) and 95% confidence intervals (95% CI) between 249 plasma metabolites per standard deviation and BTC risk in 232,781 participants. We implemented exploratory factor analyses and evaluated associations between factors and BTC risk. Associations at p-value<0.001 were considered statistically significant after multiple comparison adjustments. In a median follow-up of 11.8 years, we identified 268 first primary incident BTC cases. Of 49 biomarkers significantly associated with BTC risk, 12% were fatty acids, and 49%, 31%, and 8% were cholesterol, triglyceride, and phospholipid to total lipids ratios, respectively. Multiple cholesterol ratios were inversely associated with BTC with HRs (95% CIs) of 0.74 (0.65-0.84), p<6.0x10-6. Conversely, a triglyceride ratio was positively associated with BTC with an HR (95% CI) of 1.40 (1.22-1.61), p=2.5x10-6. Congruently, a factor high in cholesterol measures and low in triglyceride measures was inversely associated with BTC. Multiple metabolite biomarkers were associated with BTC risk, suggesting metabolism has a substantial role in BTC etiology.
期刊介绍:
The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research.
It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.