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Rahman ML, Shu XO, Jones DP, Hu W, Ji BT, Blechter B, Wong JYY, Cai Q, Yang G, Gao YT, Zheng W, Rothman N, Walker D, Lan Q. A nested case-control study of untargeted plasma metabolomics and lung cancer among never-smoking women within the prospective Shanghai Women's Health Study. Int J Cancer 2024; 155:508-518. [PMID: 38651675 DOI: 10.1002/ijc.34929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 01/27/2024] [Accepted: 02/12/2024] [Indexed: 04/25/2024]
Abstract
The etiology of lung cancer in never-smokers remains elusive, despite 15% of lung cancer cases in men and 53% in women worldwide being unrelated to smoking. Here, we aimed to enhance our understanding of lung cancer pathogenesis among never-smokers using untargeted metabolomics. This nested case-control study included 395 never-smoking women who developed lung cancer and 395 matched never-smoking cancer-free women from the prospective Shanghai Women's Health Study with 15,353 metabolic features quantified in pre-diagnostic plasma using liquid chromatography high-resolution mass spectrometry. Recognizing that metabolites often correlate and seldom act independently in biological processes, we utilized a weighted correlation network analysis to agnostically construct 28 network modules of correlated metabolites. Using conditional logistic regression models, we assessed the associations for both metabolic network modules and individual metabolic features with lung cancer, accounting for multiple testing using a false discovery rate (FDR) < 0.20. We identified a network module of 121 features inversely associated with all lung cancer (p = .001, FDR = 0.028) and lung adenocarcinoma (p = .002, FDR = 0.056), where lyso-glycerophospholipids played a key role driving these associations. Another module of 440 features was inversely associated with lung adenocarcinoma (p = .014, FDR = 0.196). Individual metabolites within these network modules were enriched in biological pathways linked to oxidative stress, and energy metabolism. These pathways have been implicated in previous metabolomics studies involving populations exposed to known lung cancer risk factors such as traffic-related air pollution and polycyclic aromatic hydrocarbons. Our results suggest that untargeted plasma metabolomics could provide novel insights into the etiology and risk factors of lung cancer among never-smokers.
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Affiliation(s)
- Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Vanderbilt University, Nashville, Tennessee, USA
| | - Dean P Jones
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, Georgia, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Qiuyin Cai
- Division of Epidemiology, Vanderbilt University, Nashville, Tennessee, USA
| | - Gong Yang
- Division of Epidemiology, Vanderbilt University, Nashville, Tennessee, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt University, Nashville, Tennessee, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Douglas Walker
- Division of Environmental Health, School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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2
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Wang C, Cai H, Cai Q, Wu J, Stolzenberg-Solomon R, Guo X, Zhu C, Gao YT, Berlin J, Ye F, Zheng W, Setiawan VW, Shu XO. Circulating microRNAs in association with pancreatic cancer risk within 5 years. Int J Cancer 2024; 155:519-531. [PMID: 38602070 PMCID: PMC11214275 DOI: 10.1002/ijc.34956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 04/12/2024]
Abstract
Early detection is critical for improving pancreatic cancer prognosis. Our study aims to identify circulating microRNAs (miRNAs) associated with pancreatic cancer risk. The two-stage study used plasma samples collected ≤5 years prior to cancer diagnosis, from case-control studies nested in five prospective cohort studies. The discovery stage included 185 case-control pairs from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Replication stage samples comprised 277 pairs from Shanghai Women's Health Study/Shanghai Men's Health Study, Southern Community Cohort Study, and Multiethnic Cohort Study. Seven hundred and ninety-eight miRNAs were measured using the NanoString nCounter Analysis System. Odds ratios (OR) and 95% confidence intervals (CI) for per 10% change in miRNAs in association with pancreatic cancer risk were derived from conditional logistic regression analysis in discovery and replication studies, separately, and then meta-analyzed. Stratified analysis was conducted by age at diagnosis (<65/≥65 years) and time interval between sample collection and diagnosis (≤2/>2 years). In the discovery stage, 120 risk associated miRNAs were identified at p < .05. Three were validated in the replication stage: hsa-miR-199a-3p/hsa-miR-199b-3p, hsa-miR-767-5p, and hsa-miR-191-5p, with respective ORs (95% CI) being 0.89 (0.84-0.95), 1.08 (1.02-1.13), and 0.90 (0.85-0.95). Five additional miRNAs, hsa-miR-640, hsa-miR-874-5p, hsa-miR-1299, hsa-miR-22-3p, and hsa-miR-449b-5p, were validated among patients diagnosed at ≥65 years, with OR (95% CI) of 1.23 (1.09-1.39), 1.33 (1.16-1.52), 1.25 (1.09-1.43), 1.28 (1.12-1.46), 0.76 (0.65-0.89), and 1.22 (1.07-1.39), respectively. The miRNA targets were enriched in pancreatic carcinogenesis/progression-related pathways. Our study suggests that circulating miRNAs may identify individuals at high risk for pancreatic cancer ≤5 years prior to diagnosis, indicating its potential utility in cancer screening and surveillance.
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Affiliation(s)
- Cong Wang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jie Wu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rachael Stolzenberg-Solomon
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Claire Zhu
- Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jordan Berlin
- Division of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Fei Ye
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Veronica Wendy Setiawan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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Rahman ML, Breeze CE, Shu XO, Wong JYY, Blechter B, Cardenas A, Wang X, Ji BT, Hu W, Cai Q, Hosgood HD, Yang G, Shi J, Long J, Gao YT, Bell DA, Zheng W, Rothman N, Lan Q. Epigenome-wide association study of lung cancer among never smokers in two prospective cohorts in Shanghai, China. Thorax 2024; 79:735-744. [PMID: 38702190 PMCID: PMC11251856 DOI: 10.1136/thorax-2023-220352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 02/17/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND The aetiology of lung cancer among individuals who never smoked remains elusive, despite 15% of lung cancer cases in men and 53% in women worldwide being unrelated to smoking. Epigenetic alterations, particularly DNA methylation (DNAm) changes, have emerged as potential drivers. Yet, few prospective epigenome-wide association studies (EWAS), primarily focusing on peripheral blood DNAm with limited representation of never smokers, have been conducted. METHODS We conducted a nested case-control study of 80 never-smoking incident lung cancer cases and 83 never-smoking controls within the Shanghai Women's Health Study and Shanghai Men's Health Study. DNAm was measured in prediagnostic oral rinse samples using Illumina MethylationEPIC array. Initially, we conducted an EWAS to identify differentially methylated positions (DMPs) associated with lung cancer in the discovery sample of 101 subjects. The top 50 DMPs were further evaluated in a replication sample of 62 subjects, and results were pooled using fixed-effect meta-analysis. RESULTS Our study identified three DMPs significantly associated with lung cancer at the epigenome-wide significance level of p<8.22×10-8. These DMPs were identified as cg09198866 (MYH9; TXN2), cg01411366 (SLC9A10) and cg12787323. Furthermore, examination of the top 1000 DMPs indicated significant enrichment in epithelial regulatory regions and their involvement in small GTPase-mediated signal transduction pathways. Additionally, GrimAge acceleration was identified as a risk factor for lung cancer (OR=1.19 per year; 95% CI 1.06 to 1.34). CONCLUSIONS While replication in a larger sample size is necessary, our findings suggest that DNAm patterns in prediagnostic oral rinse samples could provide novel insights into the underlying mechanisms of lung cancer in never smokers.
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Affiliation(s)
- Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Charles E Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Xiao-Ou Shu
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
| | - Xuting Wang
- Immunity, Inflammation and Diseases Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Qiuyin Cai
- Vanderbilt University, Nashville, Tennessee, USA
| | - H Dean Hosgood
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Gong Yang
- Department of Medicine, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Jirong Long
- Department of Medicine, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, USA
| | | | - Douglas A Bell
- Immunity, Inflammation and Diseases Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Wei Zheng
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
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Gunchick V, Wen W, Jia G, Roberts LR, Koshiol J, Shu XO, Zheng W. Dietary intake, obesity, and physical activity in association with biliary tract cancer risk: Results from meta-analyses of individual-level data from prospective cohort studies of 723,326 adults. Int J Cancer 2024. [PMID: 38847561 DOI: 10.1002/ijc.35048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 04/03/2024] [Accepted: 05/02/2024] [Indexed: 06/16/2024]
Abstract
Biliary tract cancer (BTC) is a rare and aggressive malignancy with increasing incidence. Most BTC cases are diagnosed with metastatic disease which carries a 5-year survival rate of <5%. Physical activity, diet, and obesity might be associated with BTC risk, but studies have been limited particularly in African descendants. We addressed this knowledge gap by evaluating associations of BTC risk with obesity, physical activity, and dietary intakes in 723,326 adult participants in four cohort studies conducted in China, the United Kingdom, and the United States. Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) in each cohort; results were combined using meta-analysis. All cohorts had ≥11 median follow-up years with 839 incident BTC cases combined. BTC risk was positively associated with body mass index (BMI) and waist-to-hip ratio (WHR) whereas physical activity, fruit intake, and fish intake were inversely associated. HR and (95% CI) comparing BMI >35.0 to 18.5-24.9: 1.71 (1.26, 2.31), p-trend <.0001; comparing BMI-adjusted WHR top to bottom quartile: 1.20 (0.94, 1.53), p-trend = .05; comparing ≥15-0 metabolic equivalent task-hours/week 0.76 (0.61, 0.94), p-trend = .009; comparing highest to lowest intake tertile for fruit and fish 0.79 (0.66, 0.95), p-trend = .01; 0.82 (0.68, 0.98), p-trend = .04, respectively. Associations were, in general, similar across ancestry groups. Our study provides strong evidence for important roles of obesity, diet, and physical activity in BTC etiology and stresses the need for lifestyle modification to combat the rising incidence of this fatal malignancy.
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Affiliation(s)
- Valerie Gunchick
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Wanqing Wen
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Guochong Jia
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Lewis R Roberts
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Jill Koshiol
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Wei Zheng
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Shen QM, Tuo JY, Li ZY, Fang J, Tan YT, Zhang W, Li HL, Xiang YB. Sex-specific impact of dietary patterns on liver cancer incidence: updated results from two population-based cohort studies in China. Eur J Nutr 2024; 63:1113-1124. [PMID: 38345640 DOI: 10.1007/s00394-024-03347-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 01/20/2024] [Indexed: 05/31/2024]
Abstract
PURPOSE The associations between dietary patterns and liver cancer risk have received much attention, but evidence among the Chinese population is scarce. This study aims to update the results of two cohort studies and provide the sex-specific associations in the Chinese population. METHODS This study was based on two cohorts from the Shanghai Men's Health Study (SMHS) and the Shanghai Women's Health Study (SWHS). Diet information was collected by validated food frequency questionnaires. Dietary patterns were derived by factor analysis. Cox regression model was utilized to estimate the hazard ratio (HR) and 95% confidence interval (CI) for associations between dietary patterns and liver cancer risk. RESULTS During median follow-up years of 11.2 (male) and 17.1 (female) years, 427 males and 252 females were identified as incident primary liver cancer cases. In males, vegetable-based dietary pattern was inversely associated with liver cancer (HRQ4-Q1: 0.67, 95%CI 0.51-0.88, Ptrend < 0.001). Interaction analysis indicated that in males lower vegetable-based dietary pattern score and older age/medical history of chronic hepatitis combined increase the hazard of liver cancer more than the sum of them, with a 114% and 1061% higher risk, respectively. In females, the fruit-based dietary pattern was associated with a reduced risk of liver cancer (HRQ4-Q1: 0.63, 95%CI 0.42-0.95, Ptrend = 0.03). In both males and females, null associations were observed between the meat-based dietary pattern and the risk of liver cancer. CONCLUSION A vegetable-based dietary pattern in males and a fruit-based dietary pattern in females tended to have a protective role on liver cancer risk. This study provided updated information that might be applied to guide public health action for the primary prevention of liver cancer.
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Affiliation(s)
- Qiu-Ming Shen
- State Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China
| | - Jia-Yi Tuo
- State Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China
- School of Public Health, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, People's Republic of China
| | - Zhuo-Ying Li
- State Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China
- School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China
| | - Jie Fang
- State Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China
| | - Yu-Ting Tan
- State Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China
| | - Wei Zhang
- State Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China
| | - Hong-Lan Li
- State Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China
| | - Yong-Bing Xiang
- State Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China.
- School of Public Health, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, People's Republic of China.
- School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China.
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Deng K, Pan XF, Voehler MW, Cai Q, Cai H, Shu XO, Gupta DK, Lipworth L, Zheng W, Yu D. Blood Lipids, Lipoproteins, and Apolipoproteins With Risk of Coronary Heart Disease: A Prospective Study Among Racially Diverse Populations. J Am Heart Assoc 2024; 13:e034364. [PMID: 38726919 PMCID: PMC11179824 DOI: 10.1161/jaha.124.034364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/16/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Comprehensive blood lipoprotein profiles and their association with incident coronary heart disease (CHD) among racially and geographically diverse populations remain understudied. METHODS AND RESULTS We conducted nested case-control studies of CHD among 3438 individuals (1719 pairs), including 1084 White Americans (542 pairs), 1244 Black Americans (622 pairs), and 1110 Chinese adults (555 pairs). We examined 36 plasma lipids, lipoproteins, and apolipoproteins, measured by nuclear magnetic resonance spectroscopy, with incident CHD among all participants and subgroups by demographics, lifestyle, and metabolic health status using conditional or unconditional logistic regression adjusted for potential confounders. Conventionally measured blood lipids, that is, total cholesterol, triglycerides, low-density lipoprotein-cholesterol, and high-density lipoprotein-cholesterol, were each associated with incident CHD, with odds ratios (ORs) being 1.33, 1.32, 1.24, and 0.79 per 1-SD increase among all participants. Seventeen lipoprotein biomarkers showed numerically stronger associations than conventional lipids, with ORs per 1-SD among all participants ranging from 1.35 to 1.57 and a negative OR of 0.78 (all false discovery rate <0.05), including apolipoprotein B100 to apolipoprotein A1 ratio (OR, 1.57 [95% CI, 1.45-1.7]), low-density lipoprotein-triglycerides (OR, 1.55 [95% CI, 1.43-1.69]), and apolipoprotein B (OR, 1.49 [95% CI, 1.37-1.62]). All these associations were significant and consistent across racial groups and other subgroups defined by age, sex, smoking, obesity, and metabolic health status, including individuals with normal levels of conventionally measured lipids. CONCLUSIONS Our study highlighted several lipoprotein biomarkers, including apolipoprotein B/ apolipoprotein A1 ratio, apolipoprotein B, and low-density lipoprotein-triglycerides, strongly and consistently associated with incident CHD. Our results suggest that comprehensive lipoprotein measures may complement the standard lipid panel to inform CHD risk among diverse populations.
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Affiliation(s)
- Kui Deng
- Vanderbilt Epidemiology Center and Division of Epidemiology Department of Medicine Vanderbilt University Medical Center Nashville TN USA
| | - Xiong-Fei Pan
- Vanderbilt Epidemiology Center and Division of Epidemiology Department of Medicine Vanderbilt University Medical Center Nashville TN USA
- Section of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital Sichuan University Chengdu Sichuan China
| | - Markus W Voehler
- Department of Chemistry and Center for Structural Biology Vanderbilt University Nashville TN USA
| | - Qiuyin Cai
- Vanderbilt Epidemiology Center and Division of Epidemiology Department of Medicine Vanderbilt University Medical Center Nashville TN USA
| | - Hui Cai
- Vanderbilt Epidemiology Center and Division of Epidemiology Department of Medicine Vanderbilt University Medical Center Nashville TN USA
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center and Division of Epidemiology Department of Medicine Vanderbilt University Medical Center Nashville TN USA
| | - Deepak K Gupta
- Vanderbilt Translational and Clinical Cardiovascular Research Center and Division of Cardiovascular Medicine, Department of Medicine Vanderbilt University Medical Center Nashville TN USA
| | - Loren Lipworth
- Vanderbilt Epidemiology Center and Division of Epidemiology Department of Medicine Vanderbilt University Medical Center Nashville TN USA
| | - Wei Zheng
- Vanderbilt Epidemiology Center and Division of Epidemiology Department of Medicine Vanderbilt University Medical Center Nashville TN USA
| | - Danxia Yu
- Vanderbilt Epidemiology Center and Division of Epidemiology Department of Medicine Vanderbilt University Medical Center Nashville TN USA
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7
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Blechter B, Wong JYY, Chien LH, Shiraishi K, Shu XO, Cai Q, Zheng W, Ji BT, Hu W, Rahman ML, Jiang HF, Tsai FY, Huang WY, Gao YT, Han X, Steinwandel MD, Yang G, Daida YG, Liang SY, Gomez SL, DeRouen MC, Diver WR, Reddy AG, Patel AV, Le Marchand L, Haiman C, Kohno T, Cheng I, Chang IS, Hsiung CA, Rothman N, Lan Q. Age at lung cancer diagnosis in females versus males who never smoke by race and ethnicity. Br J Cancer 2024; 130:1286-1294. [PMID: 38388856 PMCID: PMC11014844 DOI: 10.1038/s41416-024-02592-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND We characterized age at diagnosis and estimated sex differences for lung cancer and its histological subtypes among individuals who never smoke. METHODS We analyzed the distribution of age at lung cancer diagnosis in 33,793 individuals across 8 cohort studies and two national registries from East Asia, the United States (US) and the United Kingdom (UK). Student's t-tests were used to assess the study population differences (Δ years) in age at diagnosis comparing females and males who never smoke across subgroups defined by race/ethnicity, geographic location, and histological subtypes. RESULTS We found that among Chinese individuals diagnosed with lung cancer who never smoke, females were diagnosed with lung cancer younger than males in the Taiwan Cancer Registry (n = 29,832) (Δ years = -2.2 (95% confidence interval (CI):-2.5, -1.9), in Shanghai (n = 1049) (Δ years = -1.6 (95% CI:-2.9, -0.3), and in Sutter Health and Kaiser Permanente Hawai'i in the US (n = 82) (Δ years = -11.3 (95% CI: -17.7, -4.9). While there was a suggestion of similar patterns in African American and non-Hispanic White individuals. the estimated differences were not consistent across studies and were not statistically significant. CONCLUSIONS We found evidence of sex differences for age at lung cancer diagnosis among individuals who never smoke.
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Affiliation(s)
- Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Li-Hsin Chien
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
- Department of Applied Mathematics, Chung-Yuan Christian University, Chung-Li, Taiwan
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
- Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Hsin-Fang Jiang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Fang-Yu Tsai
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Xijing Han
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mark D Steinwandel
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Yihe G Daida
- Center for Integrated Health Care Research, Kaiser Permanente Hawai'i, Honolulu, HI, USA
| | - Su-Ying Liang
- Palo Alto Medical Foundation Research Institute, Sutter Health, Palo Alto, CA, USA
| | - Scarlett L Gomez
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Mindy C DeRouen
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Ananya G Reddy
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | | | - Christopher Haiman
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Iona Cheng
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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8
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Oze I, Ito H, Koyanagi YN, Abe SK, Rahman MS, Islam MR, Saito E, Gupta PC, Sawada N, Tamakoshi A, Shu XO, Sakata R, Malekzadeh R, Tsuji I, Kim J, Nagata C, You SL, Park SK, Yuan JM, Shin MH, Kweon SS, Pednekar MS, Tsugane S, Kimura T, Gao YT, Cai H, Pourshams A, Lu Y, Kanemura S, Wada K, Sugawara Y, Chen CJ, Chen Y, Shin A, Wang R, Ahn YO, Shin MH, Ahsan H, Boffetta P, Chia KS, Qiao YL, Rothman N, Zheng W, Inoue M, Kang D, Matsuo K. Obesity is associated with biliary tract cancer mortality and incidence: A pooled analysis of 21 cohort studies in the Asia Cohort Consortium. Int J Cancer 2024; 154:1174-1190. [PMID: 37966009 PMCID: PMC10873020 DOI: 10.1002/ijc.34794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 10/10/2023] [Accepted: 10/20/2023] [Indexed: 11/16/2023]
Abstract
Body fatness is considered a probable risk factor for biliary tract cancer (BTC), whereas cholelithiasis is an established factor. Nevertheless, although obesity is an established risk factor for cholelithiasis, previous studies of the association of body mass index (BMI) and BTC did not take the effect of cholelithiasis fully into account. To better understand the effect of BMI on BTC, we conducted a pooled analysis using population-based cohort studies in Asians. In total, 905 530 subjects from 21 cohort studies participating in the Asia Cohort Consortium were included. BMI was categorized into four groups: underweight (<18.5 kg/m2 ); normal (18.5-22.9 kg/m2 ); overweight (23-24.9 kg/m2 ); and obese (25+ kg/m2 ). The association between BMI and BTC incidence and mortality was assessed using hazard ratios (HR) and 95% confidence intervals (CIs) by Cox regression models with shared frailty. Mediation analysis was used to decompose the association into a direct and an indirect (mediated) effect. Compared to normal BMI, high BMI was associated with BTC mortality (HR 1.19 [CI 1.02-1.38] for males, HR 1.30 [1.14-1.49] for females). Cholelithiasis had significant interaction with BMI on BTC risk. BMI was associated with BTC risk directly and through cholelithiasis in females, whereas the association was unclear in males. When cholelithiasis was present, BMI was not associated with BTC death in either males or females. BMI was associated with BTC death among females without cholelithiasis. This study suggests BMI is associated with BTC mortality in Asians. Cholelithiasis appears to contribute to the association; and moreover, obesity appears to increase BTC risk without cholelithiasis.
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Affiliation(s)
- Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
- Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuriko N Koyanagi
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Sarah Krull Abe
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Md. Shafiur Rahman
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Md. Rashedul Islam
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan
| | - Eiko Saito
- Institute for Global Health Policy Research, National Center for Global Health and Medicine, Tokyo, Japan
| | - Prakash C. Gupta
- Healis - Sekhsaria Institute for Public Health, Navi Mumbai, India
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ritsu Sakata
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Jeongseon Kim
- Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, Taipei, Taiwan
| | - Sue K. Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Gyeonggi-do, Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
| | | | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Takashi Kimura
- Department of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
- Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Akram Pourshams
- Digestive Diseases Research institute, Tehran University of Medical Science, Tehran, Iran
| | - Yukai Lu
- Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yu Chen
- Departments of Population Health and Environmental Medicine, NYU Grossman School of Medicine
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - You-Lin Qiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Manami Inoue
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Daehee Kang
- Seoul National University College of Medicine, Seoul, Korea
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Messina MJ, Messina V, Nagata C. Perspective: Observational Studies Involving Low-Soy Intake Populations Have Limited Ability for Providing Insight into the Health Effects of Soybean Isoflavones. Adv Nutr 2024; 15:100210. [PMID: 38484974 PMCID: PMC10992291 DOI: 10.1016/j.advnut.2024.100210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/28/2024] [Accepted: 03/11/2024] [Indexed: 04/01/2024] Open
Abstract
Isoflavones are naturally occurring plant compounds found in uniquely high amounts in soybeans and foods made from this legume. These soybean constituents have been proposed to exert several health benefits and as such they have been the subject of an enormous amount of research. This research includes randomized controlled trials (RCTs) and epidemiologic investigations. Although statistically significant associations between isoflavone intake and a wide range of health outcomes have been identified in cohorts involving low-isoflavone intake populations, we suggest that these associations are unlikely to have a causal basis because exposure is too low for isoflavones to exert physiologic effects. In cohorts involving predominantly non-Asian, non-vegetarian populations, the highest isoflavone intake category is typically ≤3 mg/d, an amount of isoflavones provided by ∼30 mL (2 tablespoons) of soymilk made from whole soybeans. In comparison, mean isoflavone intake in the upper intake categories in observational studies involving high-isoflavone intake populations is typically ≥50 mg/d. In RCTs, intervention doses of isoflavones typically range between 40 and 100 mg/d. Health professionals advising patients and clients about soy food and isoflavone intake need to be aware of the limitations of epidemiologic research involving low-isoflavone intake populations. Intake recommendations are best based on the results of RCTs using clinically relevant doses of isoflavones and epidemiologic studies involving populations for whom soy foods are a habitual part of the diet.
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Affiliation(s)
- Mark J Messina
- Soy Nutrition Institute Global, Jefferson City, MO, United States.
| | | | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
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Li ZY, Shen QM, Wang J, Tuo JY, Tan YT, Li HL, Xiang YB. Prediagnostic plasma metabolite concentrations and liver cancer risk: a population-based study of Chinese men. EBioMedicine 2024; 100:104990. [PMID: 38306896 PMCID: PMC10847612 DOI: 10.1016/j.ebiom.2024.104990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/15/2024] [Accepted: 01/15/2024] [Indexed: 02/04/2024] Open
Abstract
BACKGROUND Previous metabolic profiling of liver cancer has mostly used untargeted metabolomic approaches and was unable to quantitate the absolute concentrations of metabolites. In this study, we examined the association between the concentrations of 186 targeted metabolites and liver cancer risk using prediagnostic plasma samples collected up to 14 years prior to the clinical diagnosis of liver cancer. METHODS We conducted a nested case-control study (n = 322 liver cancer cases, n = 322 matched controls) within the Shanghai Men's Health Study. Conditional logistic regression models adjusted for demographics, lifestyle factors, dietary habits, and related medical histories were used to estimate the odds ratios. Restricted cubic spline functions were used to characterise the dose-response relationships between metabolite concentrations and liver cancer risk. FINDINGS After adjusting for potential confounders and correcting for multiple testing, 28 metabolites were associated with liver cancer risk. Significant non-linear relationships were observed for 22 metabolites. The primary bile acid biosynthesis and phenylalanine, tyrosine and tryptophan biosynthesis were found to be important pathways involved in the aetiology of liver cancer. A metabolic score consisting of 10 metabolites significantly improved the predictive ability of traditional epidemiological risk factors for liver cancer, with an optimism-corrected AUC increased from 0.84 (95% CI: 0.81-0.87) to 0.89 (95% CI: 0.86-0.91). INTERPRETATION This study characterised the dose-response relationships between metabolites and liver cancer risk, providing insights into the complex metabolic perturbations prior to the clinical diagnosis of liver cancer. The metabolic score may serve as a candidate risk predictor for liver cancer. FUNDING National Key Project of Research and Development Program of China [2021YFC2500404, 2021YFC2500405]; US National Institutes of Health [subcontract of UM1 CA173640].
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Affiliation(s)
- Zhuo-Ying Li
- School of Public Health, Fudan University, Shanghai, 200032, China; State Key Laboratory of System Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, China
| | - Qiu-Ming Shen
- State Key Laboratory of System Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, China
| | - Jing Wang
- State Key Laboratory of System Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, China
| | - Jia-Yi Tuo
- State Key Laboratory of System Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, China; School of Public Health, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Yu-Ting Tan
- State Key Laboratory of System Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, China
| | - Hong-Lan Li
- State Key Laboratory of System Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, China
| | - Yong-Bing Xiang
- School of Public Health, Fudan University, Shanghai, 200032, China; State Key Laboratory of System Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, China; School of Public Health, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
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11
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Tuo JY, Li ZY, Shen QM, Tan YT, Li HL, Xiang YB. A diet-wide association study for liver cancer risk: findings from a prospective cohort study in Chinese men. Eur J Epidemiol 2024; 39:171-178. [PMID: 38195953 DOI: 10.1007/s10654-023-01071-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 10/26/2023] [Indexed: 01/11/2024]
Abstract
Dietary factors have been extensively investigated as possible risk factors for liver cancer, but the evidence is inconclusive. Our study systematically assessed the association between 142 foods and nutrients and liver cancer risk in a Chinese population using a diet-wide association study. Based on data from 59,844 men in the Shanghai Men's Health Study (SMHS), we assessed the diet intake by dietary questionnaires. Cox regression was used to quantify the association between each food and nutrient and liver cancer risk. A false discovery rate (FDR) of 0.05 was used to select the foods and nutrients for validation. In the cohort, 431 liver cancer cases were identified during 712,373 person-years of follow-up. Retinol (HR per 1 SD increment = 1.09, 95% CI: 1.03-1.14) was associated with a higher risk of liver cancer, whereas onions (HR per 1 SD increment = 0.67, 95% CI: 0.54-0.84) and manganese (HR per 1 SD increment = 0.85, 95% CI: 0.78-0.94) were inversely associated with liver cancer risk. In the replication analysis, estimates for these foods and nutrients were similar in magnitude and direction. Our findings confirm that retinol, onions and manganese were associated with liver cancer risk, which provides reliable evidence between diet and liver cancer development.
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Affiliation(s)
- Jia-Yi Tuo
- School of Public Health, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, P. R. China
| | - Zhuo-Ying Li
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, P. R. China
- School of Public Health, Fudan University, Shanghai, 200032, P. R. China
| | - Qiu-Ming Shen
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, P. R. China
| | - Yu-Ting Tan
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, P. R. China
| | - Hong-Lan Li
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, P. R. China
| | - Yong-Bing Xiang
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, P. R. China.
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12
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Wong JY, Shu XO, Hu W, Blechter B, Shi J, Wang K, Cawthon R, Cai Q, Yang G, Rahman ML, Ji BT, Gao Y, Zheng W, Rothman N, Lan Q. Associations between Longer Leukocyte Telomere Length and Increased Lung Cancer Risk among Never Smokers in Urban China. Cancer Epidemiol Biomarkers Prev 2023; 32:1734-1737. [PMID: 37721487 PMCID: PMC10843003 DOI: 10.1158/1055-9965.epi-23-0881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/28/2023] [Accepted: 09/13/2023] [Indexed: 09/19/2023] Open
Abstract
BACKGROUND The complex relationship between measured leukocyte telomere length (LTL), genetically predicted LTL (gTL), and carcinogenesis is exemplified by lung cancer. We previously reported associations between longer pre-diagnostic LTL, gTL, and increased lung cancer risk among European and East Asian populations. However, we had limited statistical power to examine the associations among never smokers by gender and histology. METHODS To investigate further, we conducted nested case-control analyses on an expanded sample of never smokers from the prospective Shanghai Women's Health Studies (798 cases and 792 controls) and Shanghai Men's Health Studies (161 cases and 162 controls). We broke the case-control matching and used multivariable unconditional logistic regression models to estimate the ORs and 95% confidence intervals (CI) of incident lung cancer and adenocarcinoma (LUAD), in relation to LTL measured using quantitative PCR and gTL determined using a polygenic score. In addition, we conducted Mendelian randomization (MR) using MR-PRESSO. RESULTS We found striking dose-response relationships between longer LTL and gTL, and increased lung cancer risk among never-smoking women (P trendLTL = 4×10-6; P trendgTL = 3×10-4). Similarly, among never-smoking men, longer measured LTL was associated with over triple the risk compared with those with the shortest (OR, 3.48; 95% CI, 1.85-6.57). The overall results were similar for LUAD among women and men. MR analyses supported causal associations with LUAD among women (OR1 SD gTL, 1.19; 95% CI, 1.03-1.37; P = 0.03). CONCLUSIONS Longer pre-diagnostic LTL is associated with increased lung cancer risk among never smokers. IMPACT Our findings firmly support the role of longer telomeres in lung carcinogenesis.
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Affiliation(s)
- Jason Y.Y. Wong
- Epidemiology and Community Health Branch, National Heart Lung and Blood Institute, Bethesda, MD, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Kevin Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Richard Cawthon
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Mohammad L. Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Bu-tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Yutang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 201112, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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13
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Deng K, Gupta DK, Shu XO, Lipworth L, Zheng W, Thomas VE, Cai H, Cai Q, Wang TJ, Yu D. Metabolite Signature of Life's Essential 8 and Risk of Coronary Heart Disease Among Low-Income Black and White Americans. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:e004230. [PMID: 38014580 PMCID: PMC10843634 DOI: 10.1161/circgen.123.004230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 09/26/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Life's essential 8 (LE8) is a comprehensive construct of cardiovascular health. Yet, little is known about the LE8 score, its metabolic correlates, and their predictive implications among Black Americans and low-income individuals. METHODS In a nested case-control study of coronary heart disease (CHD) among 299 pairs of Black and 298 pairs of White low-income Americans from the Southern Community Cohort Study, we estimated LE8 score and applied untargeted plasma metabolomics and elastic net with leave-one-out cross-validation to identify metabolite signature (MetaSig) of LE8. Associations of LE8 score and MetaSig with incident CHD were examined using conditional logistic regression. The mediation effect of MetaSig on the LE8-CHD association was also examined. The external validity of MetaSig was evaluated in another nested CHD case-control study among 299 pairs of Chinese adults. RESULTS Higher LE8 score was associated with lower CHD risk (standardized odds ratio, 0.61 [95% CI, 0.53-0.69]). The MetaSig, consisting of 133 metabolites, showed significant correlation with LE8 score (r=0.61) and inverse association with CHD (odds ratio, 0.57 [0.49-0.65]), robust to adjustment for LE8 score and across participants with different sociodemographic and health status ([odds ratios, 0.42-0.69]; all P<0.05). MetaSig mediated a large portion of the LE8-CHD association: 53% (32%-80%). Significant associations of MetaSig with LE8 score and CHD risk were found in validation cohort (r=0.49; odds ratio, 0.57 [0.46-0.69]). CONCLUSIONS Higher LE8 score and its MetaSig were associated with lower CHD risk among low-income Black and White Americans. Metabolomics may offer an objective measure of LE8 and its metabolic phenotype relevant to CHD prevention among diverse populations.
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Affiliation(s)
- Kui Deng
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Deepak K. Gupta
- Vanderbilt Translational & Clinical Cardiovascular Research Center & Division of Cardiovascular Medicine, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Loren Lipworth
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Wei Zheng
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Victoria E. Thomas
- Vanderbilt Translational & Clinical Cardiovascular Research Center & Division of Cardiovascular Medicine, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Hui Cai
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Qiuyin Cai
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Thomas J. Wang
- Dept of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Danxia Yu
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
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14
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Shen QM, Wang J, Li ZY, Tuo JY, Tan YT, Li HL, Xiang YB. Sex-Specific Correlation Analysis of Branched-Chain Amino Acids in Dietary Intakes and Plasma among Chinese Adults. J Nutr 2023; 153:2709-2716. [PMID: 37506973 DOI: 10.1016/j.tjnut.2023.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/19/2023] [Accepted: 07/24/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Previous findings about the influence of dietary intakes of the branched-chain amino acid (BCAA) on their plasma concentrations have been limited and inconsistent, and evidence from the Chinese population was lacking. OBJECTIVES This study aimed to investigate the diet-plasma BCAA correlations in Chinese male and female adults. METHODS This cross-sectional study was based on a nested case-control study within 2 prospective population-based cohorts in Shanghai, China. Diet information was collected by the food frequency questionnaires. Plasma BCAA concentrations were measured by ultraperformance liquid chromatography coupled with tandem mass spectrometry. Spearman correlations and linear regression models were conducted to examine the relationships between dietary BCAA intakes and plasma BCAA. The multivariable model was adjusted for age at the interview, total energy intake, time of blood collection from last meal, dietary patterns, body mass index (in kg/m2), type 2 diabetes, and physical activity. RESULTS A total of 322 males (median age of 57.0 y) and 187 females (median age of 60.0 y) were included in this cross-sectional study. The geometric means of dietary intake of leucine, isoleucine, valine, and BCAA were 4937.7, 3029.6, 3268.5, and 11237.4 mg/d in males, and 4125.7, 2567.8, 2754.3, and 9449.4 mg/d in females. The geometric means of plasma concentrations of leucine, isoleucine, valine, and BCAA were 181.9, 65.0, 219.8, and 469.4 μM/L in males and 161.6, 61.1, 206.5, and 431.6 μM/L in females. Only leucine (r = 0.1660, P = 0.0028) and total BCAA (r = 0.1348, P = 0.0155) in males exhibited weak positive correlation coefficients. After adjustment for the covariates, leucine, isoleucine, valine, and total BCAA in dietary intakes and plasma were not correlated in both males and females. CONCLUSIONS In Chinese male and female adults, dietary intakes are not major determinants of plasma concentrations of BCAA, and plasma concentrations might not be reflected by usual dietary intakes of BCAA.
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Affiliation(s)
- Qiu-Ming Shen
- Department of Epidemiology, State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Wang
- Department of Epidemiology, State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuo-Ying Li
- Department of Epidemiology, State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; School of Public Health, Fudan University, Shanghai, China
| | - Jia-Yi Tuo
- Department of Epidemiology, State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu-Ting Tan
- Department of Epidemiology, State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong-Lan Li
- Department of Epidemiology, State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong-Bing Xiang
- Department of Epidemiology, State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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15
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Qu HQ, Connolly JJ, Kraft P, Long J, Pereira A, Flatley C, Turman C, Prins B, Mentch F, Lotufo PA, Magnus P, Stampfer MJ, Tamimi R, Eliassen AH, Zheng W, Knudsen GPS, Helgeland O, Butterworth AS, Hakonarson H, Sleiman PM. Trans-ethnic polygenic risk scores for body mass index: An international hundred K+ cohorts consortium study. Clin Transl Med 2023; 13:e1291. [PMID: 37337639 DOI: 10.1002/ctm2.1291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 05/16/2023] [Accepted: 05/27/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND While polygenic risk scores hold significant promise in estimating an individual's risk of developing a complex trait such as obesity, their application in the clinic has, to date, been limited by a lack of data from non-European populations. As a collaboration model of the International Hundred K+ Cohorts Consortium (IHCC), we endeavored to develop a globally applicable trans-ethnic PRS for body mass index (BMI) through this relatively new international effort. METHODS The polygenic risk score (PRS) model was developed, trained and tested at the Center for Applied Genomics (CAG) of The Children's Hospital of Philadelphia (CHOP) based on a BMI meta-analysis from the GIANT consortium. The validated PRS models were subsequently disseminated to the participating sites. Scores were generated by each site locally on their cohorts and summary statistics returned to CAG for final analysis. RESULTS We show that in the absence of a well powered trans-ethnic GWAS from which to derive marker SNPs and effect estimates for PRS, trans-ethnic scores can be generated from European ancestry GWAS using Bayesian approaches such as LDpred, by adjusting the summary statistics using trans-ethnic linkage disequilibrium reference panels. The ported trans-ethnic scores outperform population specific-PRS across all non-European ancestry populations investigated including East Asians and three-way admixed Brazilian cohort. CONCLUSIONS Here we show that for a truly polygenic trait such as BMI adjusting the summary statistics of a well powered European ancestry study using trans-ethnic LD reference results in a score that is predictive across a range of ancestries including East Asians and three-way admixed Brazilians.
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Affiliation(s)
- Hui-Qi Qu
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - John J Connolly
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alexandre Pereira
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA
| | - Christopher Flatley
- Division of Health Data and Digitalization, Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Bram Prins
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Frank Mentch
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Paulo A Lotufo
- Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
- Centro de Pesquisas Clínicas e Epidemiológicas, Hospital Universitário, Universidade de São Paulo, São Paulo, Brazil
| | - Per Magnus
- University of Oslo, Oslo, Norway
- Center for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Meir J Stampfer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H., Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Rulla Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Gun Peggy Stromstad Knudsen
- Division of Health Data and Digitalization, Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway
| | - Oyvind Helgeland
- Division of Health Data and Digitalization, Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- The National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - Hakon Hakonarson
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Patrick M Sleiman
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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Deng K, Gupta DK, Shu XO, Lipworth L, Zheng W, Thomas VE, Cai H, Cai Q, Wang TJ, Yu D. Metabolite Signature of Life's Essential 8 and Risk of Coronary Heart Disease among Low-Income Black and White Americans. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.24.23289055. [PMID: 37163035 PMCID: PMC10168489 DOI: 10.1101/2023.04.24.23289055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Background and Aims Life's Essential 8 (LE8) is a comprehensive construct of cardiovascular health. Yet, little is known about LE8 score, its metabolic correlates, and their predictive implications among Black Americans and low-income individuals. Methods In a nested case-control study of coronary heart disease (CHD) among 598 Black and 596 White low-income Americans, we estimated LE8 score, conducted untargeted plasma metabolites profiling, and used elastic net with leave-one-out cross-validation to identify metabolite signature (MetaSig) of LE8. Associations of LE8 score and MetaSig with incident CHD were examined using conditional logistic regression. Mediation effect of MetaSig on the LE8-CHD association was also examined. The external validity of MetaSig was evaluated in another nested CHD case-control study among 598 Chinese adults. Results Higher LE8 score was associated with lower CHD risk [standardized OR (95% CI)=0.61 (0.53-0.69)]. The identified MetaSig, consisting of 133 metabolites, showed strong correlation with LE8 score ( r =0.61) and inverse association with CHD risk [OR (95% CI)=0.57 (0.49-0.65)], robust to adjustment for LE8 score and across participants with different sociodemographic and health status (ORs: 0.42-0.69; all P <0.05). MetaSig mediated a large portion of the LE8-CHD association: 53% (32%-80%) ( P <0.001). Significant associations of MetaSig with LE8 score and CHD risk were found in validation cohort [ r =0.49; OR (95% CI)=0.57 (0.46-0.69)]. Conclusions Higher LE8 score and its MetaSig were associated with lower CHD risk among low-income Black and White Americans. Metabolomics may offer an objective and comprehensive measure of LE8 score and its metabolic phenotype relevant to CHD prevention among diverse populations.
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Shen QM, Tan YT, Wang J, Fang J, Liu DK, Li HL, Xiang YB. Cross-sectional relationships between general and central adiposity and plasma amino acids in Chinese adults. Amino Acids 2023:10.1007/s00726-023-03258-5. [PMID: 36881189 DOI: 10.1007/s00726-023-03258-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 02/23/2023] [Indexed: 03/08/2023]
Abstract
Adiposity is an important determinant of blood metabolites, but little is known about the variations of blood amino acids according to general and central adiposity status among Chinese population. This study included 187 females and 322 males who were cancer-free subjects randomly selected from two cohorts in Shanghai, China. Participants' plasma concentrations of amino acids were measured by ultra-performance liquid chromatography coupled to tandem mass spectrometry. Linear regression models were used to examine the cross-sectional correlations between general and central adiposity and amino acid levels. A total of 35 amino acids in plasma were measured in this study. In females, alanine, aspartic acid and pyroglutamic acid were positively correlated with general adiposity. In males, glutamic acid, aspartic acid, valine and pyroglutamic acid showed positive correlations, and glutamine, serine and glycine showed negative correlations with both general and central adiposity; phenylalanine, isoleucine and leucine were positively correlated and N-phenylacetylglutamine was negatively correlated with general adiposity; asparagine was negatively correlated with central adiposity. In summary, general adiposity and central adiposity were correlated with the concentrations of specific plasma amino acids among cancer-free female and male adults in China. Adiposity-metabolite characteristics and relationships should be considered when studying blood biomarkers for adiposity-related health outcomes.
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Affiliation(s)
- Qiu-Ming Shen
- School of Public Health, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Yu-Ting Tan
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Jing Wang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Jie Fang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Da-Ke Liu
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Hong-Lan Li
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Yong-Bing Xiang
- School of Public Health, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China.
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18
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Debernardi S, Blyuss O, Rycyk D, Srivastava K, Jeon CY, Cai H, Cai Q, Shu X, Crnogorac‐Jurcevic T. Urine biomarkers enable pancreatic cancer detection up to 2 years before diagnosis. Int J Cancer 2023; 152:769-780. [PMID: 36093581 PMCID: PMC9789171 DOI: 10.1002/ijc.34287] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/15/2022] [Accepted: 08/31/2022] [Indexed: 02/01/2023]
Abstract
The poor prognosis of pancreatic ductal adenocarcinoma (PDAC) is mainly attributed to late diagnosis. We assessed the predictive performance of our previously reported urine biomarker panel for earlier detection of PDAC (LYVE1, REG1B and TFF1) in prediagnostic samples, alone and in combination with plasma CA19-9. This nested case-control study included 99 PDAC cases with urine samples prospectively collected up to 5 years prior to PDAC diagnosis and 198 matched controls. The samples were obtained from the Shanghai Women's Health Study (SWHS), the Shanghai Men's Health Studies (SMHS) and the Southern Community Cohort Study (SCCS). The urine biomarkers were measured by ELISA. Plasma CA19-9 was quantified by Luminex. Multiple logistic regression and Wilcoxon rank-sum and Mann-Whitney test were used for analysis. The internal validation approach was applied and the validated AUC estimators are reported on. The algorithm of urinary protein panel, urine creatinine and age named PancRISK, displayed similar AUC as CA19-9 up to 1 year before PDAC diagnosis (AUC = 0.79); however, the combination enhanced the AUCs to 0.89, and showed good discriminative ability (AUC = 0.77) up to 2 years. The combination showed sensitivity (SN) of 72% at 90% specificity (SP), and SP of 59% at 90% SN up to 1 year and 60% SN with 80% SP and 53% SP with 80% SN up to 2 years before PDAC diagnosis. Adding the clinical information on BMI value resulted in the overall improvement in performance of the PancRISK score. When combined with CA19-9, the urinary panel reached a workable model for detecting PDAC cases up to 2 years prior to diagnosis.
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Affiliation(s)
- Silvana Debernardi
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer InstituteQueen Mary University of LondonLondonUK
| | - Oleg Blyuss
- Centre for Prevention, Detection and Diagnosis, Wolfson Institute of Population HealthQueen Mary University of LondonLondonUK
| | - Daria Rycyk
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer InstituteQueen Mary University of LondonLondonUK
| | - Kirtiman Srivastava
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer InstituteQueen Mary University of LondonLondonUK
| | - Christie Y. Jeon
- Department of MedicineCedars‐Sinai Medical CenterLos AngelesCaliforniaUSA
| | - Hui Cai
- Division of Epidemiology, Department of MedicineVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Qiuyin Cai
- Division of Epidemiology, Department of MedicineVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Xiao‐Ou Shu
- Division of Epidemiology, Department of MedicineVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Tatjana Crnogorac‐Jurcevic
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer InstituteQueen Mary University of LondonLondonUK
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Cai H, Cui Y, Cravens L, Yang G, Yu D, Gao YT, Zheng W, Shu XO. Associations of lifestyle with physical, hearing, visual, and mental functional impairments among older adults: Findings from two prospective cohort studies. Arch Gerontol Geriatr 2023; 105:104848. [PMID: 36343440 DOI: 10.1016/j.archger.2022.104848] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/11/2022] [Accepted: 10/24/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To examine the associations between lifestyle habits and functional impairments among older adults. METHODS The study includes 20,545 women and 14,374 men aged 70 years or older at the time of the function assessment. Participants were from two prospective cohort studies: the Shanghai Women's Health Study (SWHS, enrollment from 1996 to 2000) and the Shanghai Men's Health Study (SMHS, enrollment from 2002 to 2006). Lifestyle information was collected at study enrollment and a healthy lifestyle score (HLS) was derived. Functional impairment information was collected at the follow-up survey conducted in 2012-2017. Logistic regression analyses were applied to estimate the associations of HLS with functional impairments. RESULTS The average age at lifestyle and functional impairment assessment was 62.3 (range: 49.9-70.9) and 77.7 (range: 70.0-89.4) for women and 67.5 (range: 55.1-74.9) and 77.4 (range: 70.0-88.6) for men. After a median follow-up of 14.4 years, we found that the HLS was inversely associated with overall severe functional impairment: odds ratio (95% confidence interval), 0.78(0.71-0.86) and individual severe functional impairment: 0.67(0.62-0.73) for independent walking, 0.85(0.77-0.94) for hearing/vision, 0.79(0.70-0.88) for memory, and 0.74(0.67-0.82) for decision-making impairment, comparing the highest with the lowest HLS categories. Such associations were similar among individuals with/without cardiometabolic diseases at baseline. The associations between each lifestyle factor and functional impairments differed. CONCLUSION A healthy lifestyle was associated with reduced odds of physical and mental impairment among older Chinese adults, emphasizing the importance of promoting and maintaining a healthy lifestyle to prevent or postpone age-related functional impairments.
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Affiliation(s)
- Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, 2525 West End Avenue, Suite 600, Nashville, TN 37203, USA
| | - Yong Cui
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, 2525 West End Avenue, Suite 600, Nashville, TN 37203, USA
| | - Lauryn Cravens
- Hubert Department of Global Health, Emory University, Rollins School of Public Health, 1518 Clifton Road NE, Room 738, Atlanta, GA 30322, USA
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, 2525 West End Avenue, Suite 600, Nashville, TN 37203, USA
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, 2525 West End Avenue, Suite 600, Nashville, TN 37203, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Cancer Institute of Shanghai Jiao Tong University, Shanghai Cancer Institute, 2200/25 Xie Tu Road, Shanghai 200032, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, 2525 West End Avenue, Suite 600, Nashville, TN 37203, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, 2525 West End Avenue, Suite 600, Nashville, TN 37203, USA.
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20
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Isoflavone and soy food intake and risk of lung cancer in never smokers: report from prospective studies in Japan and China. Eur J Nutr 2023; 62:125-137. [PMID: 35913505 DOI: 10.1007/s00394-022-02968-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 07/18/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE Evidence from several cohorts has suggested that a higher intake of isoflavone is associated with lower risk of lung cancer in never smokers, but the association has not been investigated by histologic type of lung cancer. Adenocarcinoma is a common histologic type found in never smokers. We hypothesized that a higher intake of isoflavone is associated with a lower risk of lung adenocarcinoma among never smokers. Here, we examined the associations of isoflavone and soy food intake with lung cancer and its histologic types in never smokers. METHODS We performed a pooled analysis using data from the Japan Public Health Center-based Prospective Study, Shanghai Women's Health Study and Shanghai Men's Study with 147,296 never smokers aged 40-74 years with no history of cancer. During 1,990,040 person-years of follow-up, 1247 lung cancer cases were documented. Dietary isoflavone and soy food intake were assessed using a food-frequency questionnaire. Multivariable Cox proportional hazards models assessed the associations between isoflavone and soy intake with incidence of lung cancer by histologic type. RESULTS A higher intake of dietary isoflavone and soy food were associated with reduced risk of lung adenocarcinoma. The multivariable hazard ratios (HRs) (95% CI) of risk of lung adenocarcinoma for the highest versus lowest intakes of isoflavone and soy food were 0.74 (0.60-0.92) and 0.78 (0.63-0.96), respectively. The multivariable HRs of risk of lung adenocarcinoma associated with each 10 mg/day increase in isoflavone and each 50 g/day increase in soy food intake were 0.81 (0.70-0.94) and 0.84 (0.73-0.96), respectively. CONCLUSION Higher intake of isoflavone and soy food was associated with lower risk of lung adenocarcinoma in never smokers.
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21
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Qu H, Connolly JJ, Kraft P, Long J, Pereira A, Flatley C, Turman C, Prins B, Mentch F, Lotufo PA, Magnus P, Stampfer MJ, Tamimi R, Eliassen AH, Zheng W, Knudsen GPS, Helgeland O, Butterworth AS, Hakonarson H, Sleiman PM. Trans-ethnic Polygenic Risk Scores for Body Mass Index: An International Hundred K+ Cohorts Consortium Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.17.23284675. [PMID: 36712066 PMCID: PMC9882470 DOI: 10.1101/2023.01.17.23284675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Background While polygenic risk scores hold significant promise in estimating an individual's risk of developing a complex trait such as obesity, their application in the clinic has, to date, been limited by a lack of data from non-European populations. As a collaboration model of the International Hundred K+ Cohorts Consortium (IHCC), we endeavored to develop a globally applicable trans-ethnic PRS for body mass index (BMI) through this relatively new international effort. Methods The PRS model was developed trained and tested at the Center for Applied Genomics (CAG) of The Children's Hospital of Philadelphia (CHOP) based on a BMI meta-analysis from the GIANT consortium. The validated PRS models were subsequently disseminated to the participating sites. Scores were generated by each site locally on their cohorts and summary statistics returned to CAG for final analysis. Results We show that in the absence of a well powered trans-ethnic GWAS from which to derive SNPs and effect estimates, trans-ethnic scores can be generated from European ancestry GWAS using Bayesian approaches such as LDpred to adjust the summary statistics using trans-ethnic linkage disequilibrium reference panels. The ported trans-ethnic scores outperform population specific-PRS across all non-European ancestry populations investigated including East Asians and three-way admixed Brazilian cohort. Conclusions Widespread use of PRS in the clinic is hampered by a lack of genotyping data in individuals of non-European ancestry for the vast majority of traits. Here we show that for a truly polygenic trait such as BMI adjusting the summary statistics of a well powered European ancestry study using trans-ethnic LD reference results in a score that is predictive across a range of ancestries including East Asians and three-way admixed Brazilians.
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Wang L, Shu XO, Cai H, Yang Y, Xu W, Wu J, Cai Q, Zheng W, Yu D. Tea Consumption and Gut Microbiome in Older Chinese Adults. J Nutr 2023; 153:293-300. [PMID: 36913464 PMCID: PMC10196597 DOI: 10.1016/j.tjnut.2022.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/16/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Animal and small-cohort human studies have shown that tea consumption affects the gut microbiome, but evidence from large cohort studies is lacking. OBJECTIVES We examined associations between tea consumption and gut microbiome composition among older Chinese adults. METHODS The study included 1179 men and 1078 women from the Shanghai Men's and Women's Health Studies, who reported tea drinking status, type, amount, and duration at baseline and follow-up surveys (1996-2017) and were free of cancer, cardiovascular disease, and diabetes at stool collection (2015-2018). Fecal microbiome was profiled using 16S rRNA sequencing. Associations of tea variables with microbiome diversity and taxa abundance were evaluated using linear or negative binomial hurdle models after adjusting for sociodemographics, lifestyle, and hypertension status. RESULTS Mean age at stool collection was 67.2 ± 9.0 y in men and 69.6 ± 8.5 y in women. Tea drinking was not associated with microbiome ɑ-diversity in men or women; however, all tea variables were associated with β-diversity in men (P < 0.001). Significant associations with taxa abundance were also observed mostly in men. Current tea drinking, mainly green tea drinking, was associated with increase in orders Synergistales and RF39 in men (β = 0.30 to 0.42, all PFDR ≤ 0.10) but not in women (PInteraction-sex = 0.01). Also, increase in families Coriobacteriaceae, Odoribacteraceae, genera Collinsella, Odoribacter, and species Collinsella aerofaciens, Coprococcus catus, and Dorea formicigenerans were observed among men who drank >3.3 cups (781 mL)/d compared to that of nondrinkers (all PFDR <0.10). The increased Coprococcus catus related to tea drinking was more evident among men without hypertension and inversely associated with the prevalence of hypertension (OR: 0.90; 95% CI: 0.84, 0.97; PFDR = 0.03). CONCLUSIONS Tea consumption may affect gut microbiome β-diversity and abundance of some bacteria, which may contribute to reduced hypertension risk in Chinese men. Future studies should examine the sex-specific tea-gut microbiome associations and how certain bacteria may mediate the health benefits of tea.
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Affiliation(s)
- Lei Wang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yaohua Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wanghong Xu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Jie Wu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
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Nagaradona T, Bassig BA, Hosgood D, Vermeulen RCH, Ning B, Seow WJ, Hu W, Portengen L, Wong J, Shu XO, Zheng W, Appel N, Gao YT, Cai QY, Yang G, Chen Y, Downward G, Li J, Yang K, McCullough L, Silverman D, Huang Y, Lan Q. Overall and cause-specific mortality rates among men and women with high exposure to indoor air pollution from the use of smoky and smokeless coal: a cohort study in Xuanwei, China. BMJ Open 2022; 12:e058714. [PMID: 36379646 PMCID: PMC9667990 DOI: 10.1136/bmjopen-2021-058714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES Never-smoking women in Xuanwei (XW), China, have some of the highest lung cancer rates in the country. This has been attributed to the combustion of smoky coal used for indoor cooking and heating. The aim of this study was to evaluate the spectrum of cause-specific mortality in this unique population, including among those who use smokeless coal, considered 'cleaner' coal in XW, as this has not been well-characterised. DESIGN Cohort study. SETTING XW, a rural region of China where residents routinely burn coal for indoor cooking and heating. PARTICIPANTS Age-adjusted, cause-specific mortality rates between 1976 and 2011 were calculated and compared among lifetime smoky and smokeless coal users in a cohort of 42 420 men and women from XW. Mortality rates for XW women were compared with those for a cohort of predominately never-smoking women in Shanghai. RESULTS Mortality in smoky coal users was driven by cancer (41%), with lung cancer accounting for 88% of cancer deaths. In contrast, cardiovascular disease (CVD) accounted for 32% of deaths among smokeless coal users, with 7% of deaths from cancer. Total cancer mortality was four times higher among smoky coal users relative to smokeless coal users, particularly for lung cancer (standardised rate ratio (SRR)=17.6). Smokeless coal users had higher mortality rates of CVD (SRR=2.9) and pneumonia (SRR=2.5) compared with smoky coal users. These patterns were similar in men and women, even though XW women rarely smoked cigarettes. Women in XW, regardless of coal type used, had over a threefold higher rate of overall mortality, and most cause-specific outcomes were elevated compared with women in Shanghai. CONCLUSIONS Cause-specific mortality burden differs in XW based on the lifetime use of different coal types. These observations provide evidence that eliminating all coal use for indoor cooking and heating is an important next step in improving public health particularly in developing countries.
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Affiliation(s)
- Teja Nagaradona
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Bofu Ning
- Xuanwei Center for Disease Control and Prevention, Xuanwei, Yunnan, China
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Lützen Portengen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Jason Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Xiao-Ou Shu
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Wei Zheng
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Nathan Appel
- Information Management Services Inc, Rockville, Maryland, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Qiu-Yin Cai
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Gong Yang
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Ying Chen
- The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - George Downward
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Qujing, Yunnan, China
| | - Kaiyun Yang
- The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | | | - Debra Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Yunchao Huang
- The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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24
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Association of urinary prostaglandin E2 metabolite and mortality among adults. Sci Rep 2022; 12:18905. [PMID: 36344823 PMCID: PMC9640635 DOI: 10.1038/s41598-022-23773-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 11/04/2022] [Indexed: 11/09/2022] Open
Abstract
Prostaglandins play a critical role in inflammatory response. To investigate the association of urinary PGE-M, a stable end-product of prostaglandin E2 (PGE2) with overall and cause-specific mortality and examine potential effect modifiers, we obtained urinary PGE-M levels of 2927 non-cancerous adults from our previous case-control studies nested in the Shanghai Women's Health Study and Shanghai Men's Health Study, two cohort studies conducted in Shanghai, China. Mortality data and modifiable factors associated with urinary PGE-M were obtained from the parent cohort studies. Using linear regression models, we found that high urinary PGE-M levels were significantly associated with low education, heaving smoking, old age at urine collection, and abdominal obesity. Using Cox proportional hazards models, we found that increase (per standard deviation) of urinary PGE-M levels were significantly associated with overall mortality (adjusted hazard ratio = 1.19, 95% confidence interval: 1.07, 1.33) and particularly deaths from cardiometabolic diseases (adjusted hazard ratio = 1.27, 95% confidence interval: 1.11, 1.44). The increased death risks persisted across different time intervals during the follow-up and were stronger among participants who were younger than 60 (P = 0.0014 for all- cause mortality and P = 0.007 for deaths from cardiometabolic diseases) at urine collection or perhaps among those who had higher education.
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25
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Pan XF, Chen ZZ, Wang TJ, Shu X, Cai H, Cai Q, Clish CB, Shi X, Zheng W, Gerszten RE, Shu XO, Yu D. Plasma metabolomic signatures of obesity and risk of type 2 diabetes. Obesity (Silver Spring) 2022; 30:2294-2306. [PMID: 36161775 PMCID: PMC9633360 DOI: 10.1002/oby.23549] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 06/12/2022] [Accepted: 07/14/2022] [Indexed: 01/21/2023]
Abstract
OBJECTIVE The mechanisms linking obesity to type 2 diabetes (T2D) are not fully understood. This study aimed to identify obesity-related metabolomic signatures (MESs) and evaluated their relationships with incident T2D. METHODS In a nested case-control study of 2076 Chinese adults, 140 plasma metabolites were measured at baseline, linear regression was applied with the least absolute shrinkage and selection operator to identify MESs for BMI and waist circumference (WC), and conditional logistic regression was applied to examine their associations with T2D risk. RESULTS A total of 32 metabolites associated with BMI or WC were identified and validated, among which 14 showed positive associations and 3 showed inverse associations with T2D; 8 and 18 metabolites were selected to build MESs for BMI and WC, respectively. Both MESs showed strong linear associations with T2D: odds ratio (95% CI) comparing extreme quartiles was 4.26 (2.00-9.06) for BMI MES and 9.60 (4.22-21.88) for WC MES (both p-trend < 0.001). The MES-T2D associations were particularly evident among individuals with normal WC: odds ratio (95% CI) reached 6.41 (4.11-9.98) for BMI MES and 10.38 (6.36-16.94) for WC MES. Adding MESs to traditional risk factors and plasma glucose improved C statistics from 0.79 to 0.83 (p < 0.001). CONCLUSIONS Multiple obesity-related metabolites and MESs strongly associated with T2D in Chinese adults were identified.
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Affiliation(s)
- Xiong-Fei Pan
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Zsu-Zsu Chen
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Thomas J. Wang
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Xiang Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Clary B. Clish
- Metabolomics Platform, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Xu Shi
- Broad Institute of Massachusetts Institute of Technology and Harvard & Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert E. Gerszten
- Broad Institute of Massachusetts Institute of Technology and Harvard & Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
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Messina M, Duncan A, Messina V, Lynch H, Kiel J, Erdman JW. The health effects of soy: A reference guide for health professionals. Front Nutr 2022; 9:970364. [PMID: 36034914 PMCID: PMC9410752 DOI: 10.3389/fnut.2022.970364] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 07/25/2022] [Indexed: 11/22/2022] Open
Abstract
Soy is a hotly debated and widely discussed topic in the field of nutrition. However, health practitioners may be ill-equipped to counsel clients and patients about the use of soyfoods because of the enormous, and often contradictory, amount of research that has been published over the past 30 years. As interest in plant-based diets increases, there will be increased pressure for practitioners to gain a working knowledge of this area. The purpose of this review is to provide concise literature summaries (400-500 words) along with a short perspective on the current state of knowledge of a wide range of topics related to soy, from the cholesterol-lowering effects of soy protein to the impact of isoflavones on breast cancer risk. In addition to the literature summaries, general background information on soyfoods, soy protein, and isoflavones is provided. This analysis can serve as a tool for health professionals to be used when discussing soyfoods with their clients and patients.
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Affiliation(s)
- Mark Messina
- Soy Nutrition Institute Global, Washington, DC, United States
| | - Alison Duncan
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada
| | | | - Heidi Lynch
- Kinesiology Department, Point Loma Nazarene University, San Diego, CA, United States
| | - Jessica Kiel
- Scientific and Clinical Affairs, Medifast Inc., Baltimore, MD, United States
| | - John W. Erdman
- Division of Nutritional Sciences and Beckman Institute, Department of Food Science and Human Nutrition, University of Illinois at Urbana/Champaign, Urbana, IL, United States
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Zhang Y, Li ZY, Shen QM, Tuo JY, Tan JY, Tan YT, Li HL, Xiang YB. A prospective cohort study of cigarette smoking, alcohol drinking and liver cancer incidence in Chinese men. J Dig Dis 2022; 23:527-534. [PMID: 36208410 PMCID: PMC9722635 DOI: 10.1111/1751-2980.13136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/08/2022] [Accepted: 10/06/2022] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Population-based prospective studies on the associations of cigarette smoking, alcohol drinking, and primary liver cancer remain limited in Mainland China. Our study was designed to evaluate such relationships in middle-aged Chinese men. METHODS Self-reported habits of cigarette smoking and alcohol drinking were obtained from all cohort members at the baseline survey. The outcomes were identified through in-person follow-up and annual record linkage to multiple statistics of vital and cancer registration. Age-adjusted and multivariable-adjusted hazard ratio (HR) and their corresponding 95% confidence interval (CI) were estimated utilizing the Cox regression model. RESULTS After a median follow-up of 12.31 years, 329 cases of incident primary liver cancer occurred among 45 266 male participants. Compared with never smoker, former smoker was positively associated with liver cancer risk, with a multivariable-adjusted HR of 1.42 (95% CI 1.02-1.98). Individuals who had smoked for more than 40 years had a 49% increased risk of liver cancer (HR≥40 years 1.49, 95% CI 1.04-2.14). The association of alcohol drinking with liver cancer showed no statistical significance. CONCLUSIONS Our study provided evidence that cigarette smoking was positively associated with an increased liver cancer risk among Chinese men. Attention to such non-viral modifiable risk factors to prevent liver cancer effectively is needed.
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Affiliation(s)
- Yan Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhuo Ying Li
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- School of Public Health, Fudan University, Shanghai, China
| | - Qiu Ming Shen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jia Yi Tuo
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jing Yu Tan
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yu Ting Tan
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hong Lan Li
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yong Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Dietary glycemic index, glycemic load, and cause-specific mortality: two population-based prospective cohort studies. Eur J Clin Nutr 2022; 76:1142-1149. [PMID: 35105945 PMCID: PMC9339588 DOI: 10.1038/s41430-022-01083-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 12/31/2021] [Accepted: 01/12/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Epidemiological studies on the relationship between dietary glycemic index (GI), glycemic load (GL) and all-cause and cause-specific mortality yielded conflict results. We aimed to assess these associations in Chinese. METHODS We conducted this study based on two prospective cohort studies in Shanghai. Dietary information was collected using validated cohort-specific food frequency questionnaires. We used Cox regression model to estimate the hazard ratios (HR) for mortality associated with GI and GL. RESULTS After median follow-up periods of 12.8 years for 59,770 men and 18.2 years for 74,735 women, 8,711 deaths in men and 10,501 deaths in women were documented. After we controlled the potential confounders, dietary GI, GL, and carbohydrate intake were associated with a higher risk of cardiovascular disease (CVD) mortality (P values for trend = 0.025, 0.001, and 0.001). Dietary GI was associated with lower risk of total and cause-specific mortality in men in the second quartile (Q) (all-cause mortality: HR Q2 vs. Q1 = 0.89, 95%CI: 0.84, 0.95). Dietary GL was associated with lower risk of cancer mortality but higher risk of CVD mortality in men. In women, dietary GI was associated with mortality due to all-cause (HRMax Q4 vs. Q1 = 1.10, 95%CI: 1.04, 1.06), cancer (HRMax Q4 vs. Q1 = 1.12, 95%CI: 1.02, 1.23), and CVD (HRMax Q4 vs. Q1 = 1.10, 95%CI: 1.00, 1.22). CONCLUSIONS The present study indicates that diet with higher GI and GL was associated with an increased risk of CVD mortality in Chinese adults. The association may vary for men and women, which need further investigating in other Asian populations.
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Shi M, Wang C, Mei H, Temprosa M, Florez JC, Tripputi M, Merino J, Lipworth L, Shu X, Gerszten RE, Wang TJ, Beckman JA, Gamboa JL, Mosley JD, Ferguson JF. Genetic Architecture of Plasma Alpha-Aminoadipic Acid Reveals a Relationship With High-Density Lipoprotein Cholesterol. J Am Heart Assoc 2022; 11:e024388. [PMID: 35621206 PMCID: PMC9238724 DOI: 10.1161/jaha.121.024388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 04/13/2022] [Indexed: 11/16/2022]
Abstract
Background Elevated plasma levels of alpha-aminoadipic acid (2-AAA) have been associated with the development of type 2 diabetes and atherosclerosis. However, the nature of the association remains unknown. Methods and Results We identified genetic determinants of plasma 2-AAA through meta-analysis of genome-wide association study data in 5456 individuals of European, African, and Asian ancestry from the Framingham Heart Study, Diabetes Prevention Program, Jackson Heart Study, and Shanghai Women's and Men's Health Studies. No single nucleotide polymorphisms reached genome-wide significance across all samples. However, the top associations from the meta-analysis included single-nucleotide polymorphisms in the known 2-AAA pathway gene DHTKD1, and single-nucleotide polymorphisms in genes involved in mitochondrial respiration (NDUFS4) and macrophage function (MSR1). We used a Mendelian randomization instrumental variable approach to evaluate relationships between 2-AAA and cardiometabolic phenotypes in large disease genome-wide association studies. Mendelian randomization identified a suggestive inverse association between increased 2-AAA and lower high-density lipoprotein cholesterol (P=0.005). We further characterized the genetically predicted relationship through measurement of plasma 2-AAA and high-density lipoprotein cholesterol in 2 separate samples of individuals with and without cardiometabolic disease (N=98), and confirmed a significant negative correlation between 2-AAA and high-density lipoprotein (rs=-0.53, P<0.0001). Conclusions 2-AAA levels in plasma may be regulated, in part, by common variants in genes involved in mitochondrial and macrophage function. Elevated plasma 2-AAA associates with reduced levels of high-density lipoprotein cholesterol. Further mechanistic studies are required to probe this as a possible mechanism linking 2-AAA to future cardiometabolic risk.
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Affiliation(s)
- Mingjian Shi
- Department of Biomedical InformaticsVanderbilt University Medical CenterNashvilleTN
| | - Chuan Wang
- Division of Cardiovascular MedicineDepartment of MedicineVanderbilt University Medical CenterNashvilleTN
| | - Hao Mei
- Department of Data ScienceSchool of Population HealthUniversity of Mississippi Medical CenterJacksonMS
| | - Marinella Temprosa
- Department of Biostatistics and BioinformaticsMilken Institute School of Public HealthGeorge Washington UniversityRockvilleMD
| | - Jose C. Florez
- Center for Genomic Medicine and Diabetes UnitMassachusetts General HospitalBostonMA
- Programs in Metabolism and Medical & Population GeneticsBroad InstituteCambridgeMA
- Department of MedicineHarvard Medical SchoolBostonMA
| | - Mark Tripputi
- Department of Biostatistics and BioinformaticsMilken Institute School of Public HealthGeorge Washington UniversityRockvilleMD
| | - Jordi Merino
- Center for Genomic Medicine and Diabetes UnitMassachusetts General HospitalBostonMA
- Programs in Metabolism and Medical & Population GeneticsBroad InstituteCambridgeMA
- Department of MedicineHarvard Medical SchoolBostonMA
| | - Loren Lipworth
- Division of EpidemiologyDepartment of MedicineVanderbilt University Medical CenterNashvilleTN
| | - Xiao‐Ou Shu
- Division of EpidemiologyDepartment of MedicineVanderbilt University Medical CenterNashvilleTN
| | - Robert E. Gerszten
- Division of Cardiovascular MedicineBeth Israel Deaconess Medical CenterBostonMA
- Broad Institute of Harvard and MITCambridgeMA
| | - Thomas J. Wang
- Department of MedicineUT Southwestern Medical CenterDallasTX
| | - Joshua A. Beckman
- Division of Cardiovascular MedicineDepartment of MedicineVanderbilt University Medical CenterNashvilleTN
| | - Jorge L. Gamboa
- Division of Clinical PharmacologyDepartment of MedicineVanderbilt University Medical CenterNashvilleTN
| | - Jonathan D. Mosley
- Department of Biomedical InformaticsVanderbilt University Medical CenterNashvilleTN
- Division of Clinical PharmacologyDepartment of MedicineVanderbilt University Medical CenterNashvilleTN
| | - Jane F. Ferguson
- Division of Cardiovascular MedicineDepartment of MedicineVanderbilt University Medical CenterNashvilleTN
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30
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Shen QM, Li HL, Li ZY, Jiang YF, Ji XW, Tan YT, Xiang YB. Joint impact of BMI, physical activity and diet on type 2 diabetes: Findings from two population-based cohorts in China. Diabet Med 2022; 39:e14762. [PMID: 34877688 DOI: 10.1111/dme.14762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 12/06/2021] [Indexed: 11/29/2022]
Abstract
AIMS Limited epidemiological data on the combined impact of several lifestyle factors on type 2 diabetes (T2D) incidence was reported in Chinese population. This study aimed to examine how combinations of BMI, physical activity and diet relate to T2D incidence and estimate corresponding population attributable risk in the general population. METHODS A total of 56,691 male and 70,849 female participants aged 40-74 years old in two population-based cohorts from the Shanghai Men's and Women's Health Studies were used for analysis. The Cox regression model was used to estimate the association between lifestyle factors collected at baseline and T2D incidence. Multivariable-adjusted population attributable risks were calculated for specific combinations of lifestyle factors. RESULTS There were 3315 male and 5925 female incident T2D, with corresponding density incidence rates of 6.39 and 6.04 per 1000 person-years. If the healthiest group of healthy lifestyle index (HLI) was used as a reference, the hazard ratios (95% confidence intervals) of T2D increased monotonically in men [2.04 (1.75, 2.38); 2.94 (2.53, 3.42); 4.31 (3.66, 5.07)] and women [1.85 (1.64, 2.08); 2.79 (2.49, 3.13); 4.14 (3.66, 4.67)]. One point increase of HLI was related to 35% and 35% lower risk in men and women. About 52.7% and 58.4% cases in men and women could have been avoided if participants had been adherent to a healthy lifestyle of maintaining healthy body weight, eating a healthy diet and keeping physically active. CONCLUSIONS An increased number of healthy lifestyle factors were associated with a decreased risk of T2D in the Chinese population. Future interventions targeted at combined healthy lifestyle factors are needed to reduce the burden of T2D.
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Affiliation(s)
- Qiu-Ming Shen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong-Lan Li
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuo-Ying Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu-Fei Jiang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Wei Ji
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu-Ting Tan
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Yoon HS, Shu XO, Gao YT, Yang G, Cai H, Shi J, Yang JJ, Rothman N, Lan Q, Zheng W, Cai Q. Tooth Loss and Risk of Lung Cancer among Urban Chinese Adults: A Cohort Study with Meta-Analysis. Cancers (Basel) 2022; 14:2428. [PMID: 35626036 PMCID: PMC9140069 DOI: 10.3390/cancers14102428] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/11/2022] [Accepted: 05/12/2022] [Indexed: 12/10/2022] Open
Abstract
Epidemiological evidence on tooth loss and lung cancer risk remains limited, especially for smoking-specific associations. To investigate the association between tooth loss and lung cancer risk by smoking status, we first analyzed data from the Shanghai Men’s Health Study (n = 49,868) and the Shanghai Women’s Health Study (n = 44,309). Cox regression models were applied to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for lung cancer risk in relation to tooth loss. We also conducted a meta-analysis to summarize epidemiologic findings to date, incorporating results from the current study and six previously published studies. For 7.3 median follow-up years, 973 incident lung cancer cases (613 men and 360 women) were ascertained. After adjustment for major covariates, tooth loss was associated with an increased risk of lung cancer among men (HR [95% CI] for >10 teeth vs. none = 1.59 [1.21−2.11]) but not among women (0.86 [0.50−1.46]). The positive association was stronger among male current smokers (1.75 [1.26−2.45], p-interaction by smoking status = 0.04). In a meta-analysis incorporating 4052 lung cancer cases and 248,126 non-cases, tooth loss was associated with a 1.64-fold increased risk of developing lung cancer (relative risk [RR, 95% CI] for the uppermost with the lowest category = 1.64 [1.44−1.86]). The positive association was more evident among current smokers (1.86 [1.41−2.46]), but no significant associations were found among never or former smokers. Our findings suggest that tooth loss may be associated with an increased risk of lung cancer, and the association could be modified by smoking status.
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Affiliation(s)
- Hyung-Suk Yoon
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 201112, China;
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Jiajun Shi
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Jae Jeong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD 20892, USA; (N.R.); (Q.L.)
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD 20892, USA; (N.R.); (Q.L.)
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
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Lee S, Jang J, Abe SK, Rahman S, Saito E, Islam R, Gupta PC, Sawada N, Tamakoshi A, Shu XO, Koh WP, Sadakane A, Tsuji I, Kim J, Oze I, Nagata C, You SL, Shin MH, Pednekar MS, Tsugane S, Cai H, Yuan JM, Wen W, Ozasa K, Matsuyama S, Kanemura S, Shin A, Ito H, Wada K, Sugawara Y, Chen CJ, Ahn YO, Chen Y, Ahsan H, Boffetta P, Chia KS, Matsuo K, Qiao YL, Rothman N, Zheng W, Inoue M, Kang D, Park SK. Association between body mass index and oesophageal cancer mortality: a pooled analysis of prospective cohort studies with >800 000 individuals in the Asia Cohort Consortium. Int J Epidemiol 2022; 51:1190-1203. [PMID: 35229874 PMCID: PMC9365631 DOI: 10.1093/ije/dyac023] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 02/03/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The association between body mass index (BMI) and oesophageal cancer (OC) has been consistently negative among Asians, whereas different associations based on histological OC subtypes have been observed in Europeans and North Americans. We examined the association between BMI and OC mortality in the Asia Cohort Consortium. METHODS We performed a pooled analysis to evaluate the association between BMI and OC mortality among 842 630 Asians from 18 cohort studies. Cox regression models were used to estimate hazard ratios (HRs) and 95% CIs. RESULTS A wide J-shaped association between BMI and overall OC mortality was observed. The OC mortality risk was increased for underweight (BMI <18.5 kg/m2: HR = 2.20, 95% CI 1.80-2.70) and extreme obesity (BMI ≥35 kg/m2: HR = 4.38, 95% CI 2.25-8.52) relative to the reference BMI (23-25 kg/m2). This association pattern was confirmed by several alternative analyses based on OC incidence and meta-analysis. A similar wide J-shaped association was observed in oesophageal squamous cell carcinoma (OSCC). Smoking and alcohol synergistically increased the OC mortality risk in underweight participants (HR = 6.96, 95% CI 4.54-10.67) relative to that in reference BMI participants not exposed to smoking and alcohol. CONCLUSION Extreme obesity and being underweight were associated with an OC mortality risk among Asians. OC mortality and BMI formed a wide J-shaped association mirrored by OSCC mortality. Although the effect of BMI on OSCC and oesophageal adenocarcinoma mortality can be different in Asians, further research based on a large case-control study is recommended.
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Affiliation(s)
- Sangjun Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Jieun Jang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Sarah Krull Abe
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shafiur Rahman
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan,Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Eiko Saito
- Division of Cancer Statistics Integration, Center for Cancer Control & Information Services, National Cancer Center, Tokyo, Japan
| | - Rashedul Islam
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan,Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Prakash C Gupta
- Healis—Sekhsaria Institute for Public Health, Mahape, Navi Mumbai, India
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, Singapore, Singapore,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | | | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Jeongseon Kim
- Graduate School of Science and Policy, National Cancer Center, Goyang, Korea
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Naogya, Japan
| | - Chisato Nagata
- Graduate School of Medicine, Gifu University, Gifu, Japan
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, Taipei, Taiwan
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mangesh S Pednekar
- Healis—Sekhsaria Institute for Public Health, Mahape, Navi Mumbai, India
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hui Cai
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wanqing Wen
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Kotaro Ozasa
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Sanae Matsuyama
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hidemi Ito
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan,Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keiko Wada
- Graduate School of Medicine, Gifu University, Gifu, Japan
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yu Chen
- Departments of Population Health and Environmental Medicine, New York University School of Medicine, New York, USA
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA,Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Naogya, Japan,Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - You-Lin Qiao
- Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology & Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Manami Inoue
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sue K Park
- Corresponding author. Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongro-gu, Seoul 03080, Korea. E-mail:
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Li ZY, Tan YT, Wang J, Fang J, Liu DK, Li HL, Xiang YB. Dose-response relationship between fat distribution and liver cancer incidence: A prospective cohort study in Chinese men. Cancer Epidemiol 2022; 76:102091. [PMID: 34998059 DOI: 10.1016/j.canep.2021.102091] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 11/27/2021] [Accepted: 12/22/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Based on a prospective cohort study in middle-aged Chinese men, the current study characterized the dose-response relationships between fat distribution measurements and the incidence of primary liver cancer. METHODS Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated by Cox regression models for the association between waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), a body shape index (ABSI), and body roundness index (BRI) with liver cancer incidence. Dose-response curves were characterized using a restricted cubic spline function. RESULTS After a mean follow-up time of 11.9 (SD = 2.4) years, 440 liver cancer cases were identified from 60,625 participants. WC, WHtR, ABSI, and BRI were found to be associated with an increased risk of liver cancer at a given level of body mass index (BMI), with multivariable-adjusted HRs of 1.19 (95% CI: 1.01-1.41), 1.26 (95% CI: 1.02-1.50), 1.12 (95% CI: 1.05-1.23) and 1.28 (95% CI: 1.08-1.53) for per SD increment, respectively. Dose-response curves suggested that the risk increased rapidly above the median levels of WC, WHtR, and BRI. For ABSI, the risk decreased from the minimum level to about the 35th percentile and increased slowly thereafter. CONCLUSIONS The current study suggested an association between abdominal obesity in middle age and increased risk of primary liver cancer at a given level of BMI. WHtR and BRI were better predictors of liver cancer risk compared with WC and ABSI.
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Affiliation(s)
- Zhuo-Ying Li
- School of Public Health, Fudan University, Shanghai 200032, China; State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - Yu-Ting Tan
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - Jing Wang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - Jie Fang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - Da-Ke Liu
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - Hong-Lan Li
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - Yong-Bing Xiang
- School of Public Health, Fudan University, Shanghai 200032, China; State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
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Association Between Long-Term Regular Exercise and Gut Microbiota Among Middle-Aged and Older Urban Chinese. Int J Sport Nutr Exerc Metab 2022; 32:144-152. [DOI: 10.1123/ijsnem.2021-0065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 10/06/2021] [Accepted: 01/02/2022] [Indexed: 11/18/2022]
Abstract
Increasing evidence has suggested that physical activity may modulate gut microbiome composition. We investigated associations of long-term regular exercise with gut microbiota among middle-aged and older urban Chinese individuals. Gut microbiota was assessed using 16S ribosomal ribonucleic acid gene sequencing of stool samples from 2,151 participants from the Shanghai Women’s Health Study and Shanghai Men’s Health Study. Participants were free of cancer, diabetes, and cardiovascular diseases at the time of stool sample collection. Physical activity was assessed in repeat surveys between 1996 and 2015 using validated questionnaires. Regular exercise was defined as any type of leisure-time physical activity with a standard metabolic equivalent score >3.0. Stool samples were collected using the 95% ethanol method between 2015 and 2018 with an average of 3.0 years (SD = 0.9) after the latest exposure assessment. General linear regression and permutational multivariate analysis of variance were carried out to evaluate associations of microbial α- and β-diversity with regular exercise participation. Logistic regression and linear regression models were used to evaluate the prevalence and relative abundance of individual taxa in association with regular exercise. Regular exercise was significantly associated with β-diversity (Bray–Curtis and Jaccard dissimilarities, both false discovery rates = 0.03%, 0.12% and 0.09% variance explained, respectively) but not with α-diversity. Relative abundance of genus Ruminococcus was significantly lower among regular exercisers compared with nonexercisers (median relative abundance: 0.64% vs. 0.81%, false discovery rate <0.10). Further studies are needed to validate the findings from this study and evaluate health benefits of regular exercise on gut microbiota.
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35
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Cui Y, Cai H, Zheng W, Shu X. Associations of Dietary Intakes of Calcium, Magnesium, and Soy Isoflavones With Bone Fracture Risk in Men: A Prospective Study. JBMR Plus 2021; 6:e10563. [PMID: 35229059 PMCID: PMC8861979 DOI: 10.1002/jbm4.10563] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/08/2021] [Accepted: 09/29/2021] [Indexed: 01/07/2023] Open
Abstract
The role of dietary factors in osteoporotic fractures in men is underinvestigated. We examined the associations of dietary intakes of calcium, magnesium, and soy isoflavones with risk of osteoporotic fractures in the Shanghai Men's Health Study. Included in this prospective study were 61,025 men aged 40 to 74 years at study enrollment (2002–2006). The cohort was followed up via in‐person surveys for occurrence of bone fractures, major diseases, and survival status. Multivariable Cox regression was applied to evaluate the associations of variables under study (ie, dietary intakes of calcium, magnesium, and soy isoflavones) with incidence of osteoporotic and non‐osteoporotic fractures, measured by hazard ratio (HR) and 95% confidence interval (CI). During a median follow‐up of 9.5 years, 1.2% and 3.4% of participants experienced osteoporotic or non‐osteoporotic fractures, respectively. Dietary calcium intake was inversely associated with risk of osteoporotic fractures with adjusted HRs of 0.78 (95% CI 0.60–1.02) and 0.27 (95% CI 0.13–0.56), respectively, for intake levels of 401 mg/d and >1000 mg/d versus ≤400 mg/d. Higher magnesium intake was associated with increased risk of osteoporotic fractures after adjusting for dietary calcium intake, with HRs of 1.27 (95% CI 0.97–1.66) and 2.21 (95% CI 1.08–4.50), respectively, for intakes of 251 mg/d and >450 mg/d versus intake ≤250 mg/d. High soy isoflavone intake was associated with a 25% reduction of osteoporotic fracture risk (HR = 0.73, 95% CI 0.56–0.97 for soy isoflavone intake >45.2 mg/d versus <21.7 mg/d). Dietary intakes of calcium, magnesium, or soy isoflavones were unrelated to the risk of non‐osteoporotic fractures. Our study added to the evidence that dietary calcium intake was inversely associated with a reduced risk of osteoporotic fractures in a dose–response fashion, while high magnesium intake was associated with an increased risk. Our study also revealed a novel association between higher soy isoflavone consumption and osteoporotic fractures in men. © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Yong Cui
- Division of Epidemiology, Department of Medicine, Vanderbilt‐Ingram Cancer Center, Vanderbilt Epidemiology Center Vanderbilt University Medical Center Nashville TN USA
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt‐Ingram Cancer Center, Vanderbilt Epidemiology Center Vanderbilt University Medical Center Nashville TN USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt‐Ingram Cancer Center, Vanderbilt Epidemiology Center Vanderbilt University Medical Center Nashville TN USA
| | - Xiao‐Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt‐Ingram Cancer Center, Vanderbilt Epidemiology Center Vanderbilt University Medical Center Nashville TN USA
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36
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Yang Y, Long J, Wang C, Blot WJ, Pei Z, Shu X, Wu F, Rothman N, Wu J, Lan Q, Cai Q, Zheng W, Chen Y, Shu XO. Prospective study of oral microbiome and gastric cancer risk among Asian, African American and European American populations. Int J Cancer 2021; 150:916-927. [PMID: 34664266 DOI: 10.1002/ijc.33847] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 07/22/2021] [Accepted: 07/28/2021] [Indexed: 12/15/2022]
Abstract
Colonization of specific bacteria in the human mouth was reported to be associated with gastric cancer risk. However, previous studies were limited by retrospective study designs and low taxonomic resolutions. We performed a prospective case-control study nested within three cohorts to investigate the relationship between oral microbiome and gastric cancer risk. Shotgun metagenomic sequencing was employed to characterize the microbiome in prediagnostic buccal samples from 165 cases and 323 matched controls. Associations of overall microbial richness and abundance of microbial taxa, gene families and metabolic pathways with gastric cancer risk were evaluated via conditional logistic regression. Analyses were performed within each cohort, and results were combined by meta-analyses. We found that overall microbial richness was associated with decreased gastric cancer risk, with an odds ratio (OR) per standard deviation (SD) increase in Simpson's reciprocal index of 0.77 (95% confidence interval [CI] = 0.61-0.99). Nine taxa, 38 gene families and six pathways also showed associations with gastric cancer risk at P < .05. Neisseria mucosa and Prevotella pleuritidis were enriched, while Mycoplasma orale and Eubacterium yurii were depleted among cases with ORs and 95% CIs per SD increase in centered log-ratio transformed taxa abundance of 1.31 (1.03-1.67), 1.26 (1.00-1.57), 0.74 (0.59-0.94) and 0.80 (0.65-0.98), respectively. The top two gene families (P = 3.75 × 10-4 and 3.91 × 10-4 ) and pathways (P = 1.75 × 10-3 and 1.53 × 10-3 ) associated with gastric cancer were related to the decreased risk and are involved in hexitol metabolism. Our study supports the hypothesis that oral microbiota may play a role in gastric cancer etiology.
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Affiliation(s)
- Yaohua Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Cong Wang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Zhiheng Pei
- Department of Medicine, New York University School of Medicine, New York, New York, USA.,Department of Pathology, New York University School of Medicine, New York, New York, USA.,Department of Pathology and Lab Service (113), Veterans Affairs New York Harbor Healthcare System, New York, New York, USA
| | - Xiang Shu
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Fen Wu
- Department of Population Health, New York University School of Medicine, New York, New York, USA
| | | | - Jie Wu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Qing Lan
- National Cancer Institute, Bethesda, Maryland, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Yu Chen
- Department of Population Health, New York University School of Medicine, New York, New York, USA.,Department of Environmental Medicine, New York University School of Medicine, New York, New York, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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37
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Shi J, Yang Y, Xu W, Cai H, Wu J, Long J, Cai Q, Zheng W, Flynn CR, Shu XO, Yu D. Sex-Specific Associations between Gut Microbiome and Non-Alcoholic Fatty Liver Disease among Urban Chinese Adults. Microorganisms 2021; 9:microorganisms9102118. [PMID: 34683439 PMCID: PMC8537656 DOI: 10.3390/microorganisms9102118] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 12/12/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has been linked to altered gut microbiome; however, evidence from large population-based studies is limited. We compared gut microbiome profiles of 188 male and 233 female NAFLD cases with 571 male and 567 female controls from two longitudinal studies of urban Chinese adults. History of NAFLD was assessed during surveys administered in 2004-2017. Microbiota were assessed using 16S rRNA sequencing of stool samples collected in 2015-2018. Associations of NAFLD with microbiome diversity and composition were evaluated by generalized linear or logistic regression models. Compared with controls, male cases had lower microbial α-diversity, higher abundance of genera Dialister and Streptococcus and Bifidobacterium species, lower abundance of genus Phascolarctobacterium, and lower prevalence of taxa including order RF39 (all p < 0.05). In contrast, female cases had higher α-diversity, higher abundance of genus Butyricimonas and a family of order Clostridiales, lower abundance of Dialister and Bifidobacterium species, and higher prevalence of RF39. Significant NAFLD-sex interactions were found for α-diversity and above taxa (all false discovery rate < 0.1). In conclusion, we observed sex-specific gut microbiome features related to history of NAFLD. Further studies are needed to validate our findings and evaluate the health effects of NAFLD-related gut microbiota.
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Affiliation(s)
- Jiajun Shi
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Suite 600, Nashville, TN 37232, USA; (J.S.); (Y.Y.); (H.C.); (J.W.); (J.L.); (Q.C.); (W.Z.); (X.-O.S.)
| | - Yaohua Yang
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Suite 600, Nashville, TN 37232, USA; (J.S.); (Y.Y.); (H.C.); (J.W.); (J.L.); (Q.C.); (W.Z.); (X.-O.S.)
| | - Wanghong Xu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200433, China;
| | - Hui Cai
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Suite 600, Nashville, TN 37232, USA; (J.S.); (Y.Y.); (H.C.); (J.W.); (J.L.); (Q.C.); (W.Z.); (X.-O.S.)
| | - Jie Wu
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Suite 600, Nashville, TN 37232, USA; (J.S.); (Y.Y.); (H.C.); (J.W.); (J.L.); (Q.C.); (W.Z.); (X.-O.S.)
| | - Jirong Long
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Suite 600, Nashville, TN 37232, USA; (J.S.); (Y.Y.); (H.C.); (J.W.); (J.L.); (Q.C.); (W.Z.); (X.-O.S.)
| | - Qiuyin Cai
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Suite 600, Nashville, TN 37232, USA; (J.S.); (Y.Y.); (H.C.); (J.W.); (J.L.); (Q.C.); (W.Z.); (X.-O.S.)
| | - Wei Zheng
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Suite 600, Nashville, TN 37232, USA; (J.S.); (Y.Y.); (H.C.); (J.W.); (J.L.); (Q.C.); (W.Z.); (X.-O.S.)
| | - Charles R. Flynn
- Department of Surgery, Division of General Surgery, Vanderbilt University Medical Center, Suite 600, Nashville, TN 37232, USA;
| | - Xiao-Ou Shu
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Suite 600, Nashville, TN 37232, USA; (J.S.); (Y.Y.); (H.C.); (J.W.); (J.L.); (Q.C.); (W.Z.); (X.-O.S.)
| | - Danxia Yu
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Suite 600, Nashville, TN 37232, USA; (J.S.); (Y.Y.); (H.C.); (J.W.); (J.L.); (Q.C.); (W.Z.); (X.-O.S.)
- Correspondence: ; Tel.: +1-615-936-7389; Fax: +1-615-936-8291
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Feng C, Cao Y, Su Y, Cai H, Shu XO, Zheng W, Yu D, Zong G. Association between Tea Consumption and Hypertension Risk among Middle-Aged and Older Chinese Adults. J Nutr 2021; 151:3773-3780. [PMID: 34590120 PMCID: PMC8643596 DOI: 10.1093/jn/nxab293] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 06/10/2021] [Accepted: 08/09/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Current evidence on tea consumption and hypertension is inconclusive, and prospective studies among habitual tea drinkers remain limited. OBJECTIVE We investigated the associations of habitual tea consumption with hypertension risk and longitudinal blood pressure changes in 2 large cohorts. METHODS This study included participants aged 40-75 y from the Shanghai Women's Health Study (n = 31,351) and the Shanghai Men's Health Study (n = 28,342), without hypertension, diabetes, cardiovascular disease, or cancer at baseline. Information on tea consumption was assessed during in-person interviews at enrollment and follow-up visits. Incident hypertension was identified by self-reported diagnosis, medication use, or blood pressure measurements. RESULTS Current tea drinkers had a 7% higher risk than the non-current tea drinker group [HRs (95% CIs): women, 1.07 (1.01, 1.14); men, 1.07 (1.02, 1.12)]. The amount of tea drinking showed significant dose-response associations with hypertension: compared with the non-current group, HRs (95% CIs) for women and men were 1.01 (0.90, 1.14) and 1.02 (0.96, 1.08) for low (women/men: <100/200 g/mo), 1.07 (1.01, 1.15) and 1.05 (0.99, 1.12) for medium (women/men: 100-250/200-250 g/mo), and 1.18 (1.01, 1.39) and 1.10 (1.03, 1.17) for the high-amount group (women/men: >250 g/mo). Among participants without hypertension, compared with non-current tea drinkers, least-squares means of 3-y changes in blood pressure were 0.3-0.4 mm Hg higher for women and men as current drinkers and 0.7-0.9 mm Hg higher for men in the high-consumption group. Compared with those who never drank tea, women who drank tea consistently had 0.5 (0.2, 0.7) mm Hg higher diastolic blood pressure (DBP), whereas men had 0.5 (0.04, 0.9) mm Hg higher systolic blood pressure and 0.3 (0.04, 0.6) mm Hg higher DBP, respectively. CONCLUSIONS Our findings suggest that habitual tea drinking is associated with a slightly higher risk of hypertension and a minor increase in blood pressure among middle-aged and older Chinese adults, which warrants confirmation by long-term intervention studies.
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Affiliation(s)
- Chengwu Feng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yaying Cao
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yang Su
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Danxia Yu
- Address correspondence to DY (e-mail: )
| | - Geng Zong
- Address correspondence to: GZ (e-mail: )
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Shin S, Lee JE, Loftfield E, Shu XO, Abe SK, Rahman MS, Saito E, Islam MR, Tsugane S, Sawada N, Tsuji I, Kanemura S, Sugawara Y, Tomata Y, Sadakane A, Ozasa K, Oze I, Ito H, Shin MH, Ahn YO, Park SK, Shin A, Xiang YB, Cai H, Koh WP, Yuan JM, Yoo KY, Chia KS, Boffetta P, Ahsan H, Zheng W, Inoue M, Kang D, Potter JD, Matsuo K, Qiao YL, Rothman N, Sinha R. Coffee and tea consumption and mortality from all causes, cardiovascular disease and cancer: a pooled analysis of prospective studies from the Asia Cohort Consortium. Int J Epidemiol 2021; 51:626-640. [PMID: 34468722 DOI: 10.1093/ije/dyab161] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 07/15/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Accumulating evidence suggests that consuming coffee may lower the risk of death, but evidence regarding tea consumption in Asians is limited. We examined the association between coffee and tea consumption and mortality in Asian populations. METHODS We used data from 12 prospective cohort studies including 248 050 men and 280 454 women from the Asia Cohort Consortium conducted in China, Japan, Korea and Singapore. We estimated the study-specific association of coffee, green tea and black tea consumption with mortality using Cox proportional-hazards regression models and the pooled study-specific hazard ratios (HRs) using a random-effects model. RESULTS In total, 94 744 deaths were identified during the follow-up, which ranged from an average of 6.5 to 22.7 years. Compared with coffee non-drinkers, men and women who drank at least five cups of coffee per day had a 24% [95% confidence interval (CI) 17%, 29%] and a 28% (95% CI 19%, 37%) lower risk of all-cause mortality, respectively. Similarly, we found inverse associations for coffee consumption with cardiovascular disease (CVD)-specific and cancer-specific mortality among both men and women. Green tea consumption was associated with lower risk of mortality from all causes, CVD and other causes but not from cancer. The association of drinking green tea with CVD-specific mortality was particularly strong, with HRs (95% CIs) of 0.79 (0.68, 0.91) for men and 0.78 (0.68, 0.90) for women who drank at least five cups per day of green tea compared with non-drinkers. The association between black tea consumption and mortality was weak, with no clear trends noted across the categories of consumption. CONCLUSIONS In Asian populations, coffee consumption is associated with a lower risk of death overall and with lower risks of death from CVD and cancer. Green tea consumption is associated with lower risks of death from all causes and CVD.
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Affiliation(s)
- Sangah Shin
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do, Korea
| | - Jung Eun Lee
- Department of Food and Nutrition, Seoul National University, Seoul, Korea
| | - Erikka Loftfield
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah Krull Abe
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Md Shafiur Rahman
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Eiko Saito
- Division of Cancer Statistics Integration, Center for Cancer Control & Information Services, National Cancer Center, Tokyo, Japan
| | - Md Rashedul Islam
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Ichiro Tsuji
- Department of Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Seiki Kanemura
- Department of Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yumi Sugawara
- Department of Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yasutake Tomata
- Department of Epidemiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Atsuko Sadakane
- Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Kotaro Ozasa
- Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Gyeonggi-do, Korea
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Jian-Min Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Keun-Young Yoo
- The Veterans Health Service Medical Center, Seoul, Korea
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Republic of Singapore
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Manami Inoue
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - John D Potter
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - You-Lin Qiao
- Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rashmi Sinha
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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Pan XF, Yang JJ, Shu XO, Moore SC, Palmer ND, Guasch-Ferré M, Herrington DM, Harada S, Eliassen H, Wang TJ, Gerszten RE, Albanes D, Tzoulaki I, Karaman I, Elliott P, Zhu H, Wagenknecht LE, Zheng W, Cai H, Cai Q, Matthews CE, Menni C, Meyer KA, Lipworth LP, Ose J, Fornage M, Ulrich CM, Yu D. Associations of circulating choline and its related metabolites with cardiometabolic biomarkers: an international pooled analysis. Am J Clin Nutr 2021; 114:893-906. [PMID: 34020444 PMCID: PMC8408854 DOI: 10.1093/ajcn/nqab152] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 04/09/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Choline is an essential nutrient; however, the associations of choline and its related metabolites with cardiometabolic risk remain unclear. OBJECTIVE We examined the associations of circulating choline, betaine, carnitine, and dimethylglycine (DMG) with cardiometabolic biomarkers and their potential dietary and nondietary determinants. METHODS The cross-sectional analyses included 32,853 participants from 17 studies, who were free of cancer, cardiovascular diseases, chronic kidney diseases, and inflammatory bowel disease. In each study, metabolites and biomarkers were log-transformed and standardized by means and SDs, and linear regression coefficients (β) and 95% CIs were estimated with adjustments for potential confounders. Study-specific results were combined by random-effects meta-analyses. A false discovery rate <0.05 was considered significant. RESULTS We observed moderate positive associations of circulating choline, carnitine, and DMG with creatinine [β (95% CI): 0.136 (0.084, 0.188), 0.106 (0.045, 0.168), and 0.128 (0.087, 0.169), respectively, for each SD increase in biomarkers on the log scale], carnitine with triglycerides (β = 0.076; 95% CI: 0.042, 0.109), homocysteine (β = 0.064; 95% CI: 0.033, 0.095), and LDL cholesterol (β = 0.055; 95% CI: 0.013, 0.096), DMG with homocysteine (β = 0.068; 95% CI: 0.023, 0.114), insulin (β = 0.068; 95% CI: 0.043, 0.093), and IL-6 (β = 0.060; 95% CI: 0.027, 0.094), but moderate inverse associations of betaine with triglycerides (β = -0.146; 95% CI: -0.188, -0.104), insulin (β = -0.106; 95% CI: -0.130, -0.082), homocysteine (β = -0.097; 95% CI: -0.149, -0.045), and total cholesterol (β = -0.074; 95% CI: -0.102, -0.047). In the whole pooled population, no dietary factor was associated with circulating choline; red meat intake was associated with circulating carnitine [β = 0.092 (0.042, 0.142) for a 1 serving/d increase], whereas plant protein was associated with circulating betaine [β = 0.249 (0.110, 0.388) for a 5% energy increase]. Demographics, lifestyle, and metabolic disease history showed differential associations with these metabolites. CONCLUSIONS Circulating choline, carnitine, and DMG were associated with unfavorable cardiometabolic risk profiles, whereas circulating betaine was associated with a favorable cardiometabolic risk profile. Future prospective studies are needed to examine the associations of these metabolites with incident cardiovascular events.
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Affiliation(s)
- Xiong-Fei Pan
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jae Jeong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - David M Herrington
- Section on Cardiology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Heather Eliassen
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Thomas J Wang
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Robert E Gerszten
- Broad Institute of Harvard and Massachusetts Institute of Technology and Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Dementia Research Institute, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Ibrahim Karaman
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Dementia Research Institute, Imperial College London, London, United Kingdom
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Dementia Research Institute, Imperial College London, London, United Kingdom
| | - Huilian Zhu
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Katie A Meyer
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Loren P Lipworth
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer Ose
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Cornelia M Ulrich
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
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Pan XF, Yang JJ, Lipworth LP, Shu XO, Cai H, Steinwandel MD, Blot WJ, Zheng W, Yu D. Cholesterol and Egg Intakes with Cardiometabolic and All-Cause Mortality among Chinese and Low-Income Black and White Americans. Nutrients 2021; 13:nu13062094. [PMID: 34205293 PMCID: PMC8234137 DOI: 10.3390/nu13062094] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 06/04/2021] [Accepted: 06/14/2021] [Indexed: 02/02/2023] Open
Abstract
We examined the associations of dietary cholesterol and egg intakes with cardiometabolic and all-cause mortality among Chinese and low-income Black and White Americans. Included were 47,789 Blacks, 20,360 Whites, and 134,280 Chinese aged 40–79 years at enrollment. Multivariable Cox models with restricted cubic splines were applied to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality outcomes using intakes of 150 mg cholesterol/day and 1 egg/week as the references. Cholesterol intake showed a nonlinear association with increased all-cause mortality and a linear association with increased cardiometabolic mortality among Black Americans: HRs (95% CIs) associated with 300 and 600 mg/day vs. 150 mg/day were 1.07 (1.03–1.11) and 1.13 (1.05–1.21) for all-cause mortality (P-linearity = 0.04, P-nonlinearity = 0.002, and P-overall < 0.001) and 1.10 (1.03–1.16) and 1.21 (1.08–1.36) for cardiometabolic mortality (P-linearity = 0.007, P-nonlinearity = 0.07, and P-overall = 0.005). Null associations with all-cause or cardiometabolic mortality were noted for White Americans (P-linearity ≥ 0.13, P-nonlinearity ≥ 0.06, and P-overall ≥ 0.05 for both). Nonlinear inverse associations were observed among Chinese: HR (95% CI) for 300 vs. 150 mg/day was 0.94 (0.92–0.97) for all-cause mortality and 0.91 (0.87–0.95) for cardiometabolic mortality, but the inverse associations disappeared with cholesterol intake > 500 mg/day (P-linearity ≥ 0.12; P-nonlinearity ≤ 0.001; P-overall < 0.001 for both). Similarly, we observed a positive association of egg intake with all-cause mortality in Black Americans, but a null association in White Americans and a nonlinear inverse association in Chinese. In conclusion, the associations of cholesterol and egg intakes with cardiometabolic and all-cause mortality may differ across ethnicities who have different dietary patterns and cardiometabolic risk profiles. However, residual confounding remains possible.
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Affiliation(s)
- Xiong-Fei Pan
- Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Department of Medicine, Division of Epidemiology, Nashville, TN 37203, USA; (X.-F.P.); (J.-J.Y.); (L.P.L.); (X.-O.S.); (H.C.); (W.J.B.); (W.Z.)
| | - Jae-Jeong Yang
- Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Department of Medicine, Division of Epidemiology, Nashville, TN 37203, USA; (X.-F.P.); (J.-J.Y.); (L.P.L.); (X.-O.S.); (H.C.); (W.J.B.); (W.Z.)
| | - Loren P. Lipworth
- Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Department of Medicine, Division of Epidemiology, Nashville, TN 37203, USA; (X.-F.P.); (J.-J.Y.); (L.P.L.); (X.-O.S.); (H.C.); (W.J.B.); (W.Z.)
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Department of Medicine, Division of Epidemiology, Nashville, TN 37203, USA; (X.-F.P.); (J.-J.Y.); (L.P.L.); (X.-O.S.); (H.C.); (W.J.B.); (W.Z.)
| | - Hui Cai
- Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Department of Medicine, Division of Epidemiology, Nashville, TN 37203, USA; (X.-F.P.); (J.-J.Y.); (L.P.L.); (X.-O.S.); (H.C.); (W.J.B.); (W.Z.)
| | - Mark D. Steinwandel
- International Epidemiology Field Station, Vanderbilt University Medical Center, Nashville, TN 37203, USA;
| | - William J. Blot
- Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Department of Medicine, Division of Epidemiology, Nashville, TN 37203, USA; (X.-F.P.); (J.-J.Y.); (L.P.L.); (X.-O.S.); (H.C.); (W.J.B.); (W.Z.)
- International Epidemiology Field Station, Vanderbilt University Medical Center, Nashville, TN 37203, USA;
| | - Wei Zheng
- Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Department of Medicine, Division of Epidemiology, Nashville, TN 37203, USA; (X.-F.P.); (J.-J.Y.); (L.P.L.); (X.-O.S.); (H.C.); (W.J.B.); (W.Z.)
| | - Danxia Yu
- Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Department of Medicine, Division of Epidemiology, Nashville, TN 37203, USA; (X.-F.P.); (J.-J.Y.); (L.P.L.); (X.-O.S.); (H.C.); (W.J.B.); (W.Z.)
- Correspondence: ; Tel.: +1-615-936-7389; Fax: +1-615-343-5938
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Chen Y, Hu N, Liao L, Yu K, Shu XO, Zheng W, Yuan JM, Koh WP, Qiao YL, Fan JH, Dawsey SM, Freedman ND, Taylor PR, Goldstein AM, Abnet CC. ABO genotypes and the risk of esophageal and gastric cancers. BMC Cancer 2021; 21:589. [PMID: 34022824 PMCID: PMC8141232 DOI: 10.1186/s12885-021-08334-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 05/10/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Blood type has been associated with the risk of gastric cancer, but few studies have examined the association with esophageal squamous cell carcinoma (ESCC). METHODS We conducted a case-control study using genotyping data of Chinese individuals, including cases of 2022 ESCC, 1189 gastric cardia adenocarcinoma, 1161 gastric noncardia adenocarcinoma, and 2696 controls. Genetic blood type was imputed using three single nucleotide polymorphisms. We used logistic regression to examine the association between blood type and the risk of each cancer. RESULTS Compared to blood type O, the risk of ESCC was significantly elevated for blood type B and AB, with the highest risk for type AB (OR, 95%CI: 1.34, 1.07-1.67). Analysis of genotype suggested that the association of ESCC was from carrying the B allele. Similarly, blood type was significantly associated with gastric noncardia adenocarcinoma (P < 0.001) with risk significantly elevated in type A (1.37, 1.14-1.65) and AB (1.44, 1.10-1.89) compared to type O. Blood type was not associated with gastric cardia adenocarcinoma (P = 0.13). CONCLUSIONS This study provides novel insights into the association between blood type and the risk of ESCC and restricted previously observed association to only gastric noncardia cancer, providing important evidence to clarify the pattern of association and suggesting mechanisms of action.
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Affiliation(s)
- Yingxi Chen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA.
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Linda Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Xiao-Ou Shu
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wei Zheng
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Woon-Puay Koh
- Health Service and Systems Research, Duke-NUS Medical School, Singapore, 169857, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore
| | - You-Lin Qiao
- National Cancer Center, National Center for Cancer Clinical Research, The Cancer Institute, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Jin-Hu Fan
- National Cancer Center, National Center for Cancer Clinical Research, The Cancer Institute, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Sanford M Dawsey
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Philip R Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
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Zhu J, Smith-Warner SA, Yu D, Zhang X, Blot WJ, Xiang YB, Sinha R, Park Y, Tsugane S, White E, Koh WP, Park SK, Sawada N, Kanemura S, Sugawara Y, Tsuji I, Robien K, Tomata Y, Yoo KY, Kim J, Yuan JM, Gao YT, Rothman N, Lazovich D, Abe SK, Rahman MS, Loftfield E, Takata Y, Li X, Lee JE, Saito E, Freedman ND, Inoue M, Lan Q, Willett WC, Zheng W, Shu XO. Associations of coffee and tea consumption with lung cancer risk. Int J Cancer 2021; 148:2457-2470. [PMID: 33326609 PMCID: PMC8460087 DOI: 10.1002/ijc.33445] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 12/17/2022]
Abstract
Associations of coffee and tea consumption with lung cancer risk have been inconsistent, and most lung cancer cases investigated were smokers. Included in this study were over 1.1 million participants from 17 prospective cohorts. Cox regression analyses were conducted to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Potential effect modifications by sex, smoking, race, cancer subtype and coffee type were assessed. After a median 8.6 years of follow-up, 20 280 incident lung cancer cases were identified. Compared with noncoffee and nontea consumption, HRs (95% CIs) associated with exclusive coffee drinkers (≥2 cups/d) among current, former and never smokers were 1.30 (1.15-1.47), 1.49 (1.27-1.74) and 1.35 (1.15-1.58), respectively. Corresponding HRs for exclusive tea drinkers (≥2 cups/d) were 1.16 (1.02-1.32), 1.10 (0.92-1.32) and 1.37 (1.17-1.61). In general, the coffee and tea associations did not differ significantly by sex, race or histologic subtype. Our findings suggest that higher consumption of coffee or tea is associated with increased lung cancer risk. However, these findings should not be assumed to be causal because of the likelihood of residual confounding by smoking, including passive smoking, and change of coffee and tea consumption after study enrolment.
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Affiliation(s)
- Jingjing Zhu
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | | | - Danxia Yu
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Xuehong Zhang
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - William J. Blot
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Yikyung Park
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Shoichiro Tsugane
- Division of Prevention Center for Public Health Sciences National Cancer Center, Tokyo, Japan
| | - Emily White
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Sue K. Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Norie Sawada
- Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Seiki Kanemura
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Yumi Sugawara
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Ichiro Tsuji
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC
| | - Yasutake Tomata
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Keun-Young Yoo
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center of Korea, Goyang, Korea
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - DeAnn Lazovich
- Division of Epidemiology & Community Health, School of Public Health, Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Sarah K. Abe
- Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Md Shafiur Rahman
- Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Division of Prevention Center for Public Health Sciences National Cancer Center, Tokyo, Japan
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Yumie Takata
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR
| | - Xin Li
- Richard M. Fairbanks School of Public Health, Indiana University
| | - Jung Eun Lee
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul
| | - Eiko Saito
- Division of Cancer Statistics Integration Center for Cancer Control & Information Services National Cancer Center, Tokyo, Japan
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Manami Inoue
- Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Walter C. Willett
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- The Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School
| | - Wei Zheng
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
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44
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Yang JJ, Shu XO, Herrington DM, Moore SC, Meyer KA, Ose J, Menni C, Palmer ND, Eliassen H, Harada S, Tzoulaki I, Zhu H, Albanes D, Wang TJ, Zheng W, Cai H, Ulrich CM, Guasch-Ferré M, Karaman I, Fornage M, Cai Q, Matthews CE, Wagenknecht LE, Elliott P, Gerszten RE, Yu D. Circulating trimethylamine N-oxide in association with diet and cardiometabolic biomarkers: an international pooled analysis. Am J Clin Nutr 2021; 113:1145-1156. [PMID: 33826706 PMCID: PMC8106754 DOI: 10.1093/ajcn/nqaa430] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 12/16/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Trimethylamine N-oxide (TMAO), a diet-derived, gut microbial-host cometabolite, has been linked to cardiometabolic diseases. However, the relations remain unclear between diet, TMAO, and cardiometabolic health in general populations from different regions and ethnicities. OBJECTIVES To examine associations of circulating TMAO with dietary and cardiometabolic factors in a pooled analysis of 16 population-based studies from the United States, Europe, and Asia. METHODS Included were 32,166 adults (16,269 white, 13,293 Asian, 1247 Hispanic/Latino, 1236 black, and 121 others) without cardiovascular disease, cancer, chronic kidney disease, or inflammatory bowel disease. Linear regression coefficients (β) were computed for standardized TMAO with harmonized variables. Study-specific results were combined by random-effects meta-analysis. A false discovery rate <0.10 was considered significant. RESULTS After adjustment for potential confounders, circulating TMAO was associated with intakes of animal protein and saturated fat (β = 0.124 and 0.058, respectively, for a 5% energy increase) and with shellfish, total fish, eggs, and red meat (β = 0.370, 0.151, 0.081, and 0.056, respectively, for a 1 serving/d increase). Plant protein and nuts showed inverse associations (β = -0.126 for a 5% energy increase from plant protein and -0.123 for a 1 serving/d increase of nuts). Although the animal protein-TMAO association was consistent across populations, fish and shellfish associations were stronger in Asians (β = 0.285 and 0.578), and egg and red meat associations were more prominent in Americans (β = 0.153 and 0.093). Besides, circulating TMAO was positively associated with creatinine (β = 0.131 SD increase in log-TMAO), homocysteine (β = 0.065), insulin (β = 0.048), glycated hemoglobin (β = 0.048), and glucose (β = 0.023), whereas it was inversely associated with HDL cholesterol (β = -0.047) and blood pressure (β = -0.030). Each TMAO-biomarker association remained significant after further adjusting for creatinine and was robust in subgroup/sensitivity analyses. CONCLUSIONS In an international, consortium-based study, animal protein was consistently associated with increased circulating TMAO, whereas TMAO associations with fish, shellfish, eggs, and red meat varied among populations. The adverse associations of TMAO with certain cardiometabolic biomarkers, independent of renal function, warrant further investigation.
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Affiliation(s)
- Jae Jeong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - David M Herrington
- Section on Cardiology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Katie A Meyer
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Jennifer Ose
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Heather Eliassen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Dementia Research Institute, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Huilian Zhu
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Thomas J Wang
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cornelia M Ulrich
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ibrahim Karaman
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Dementia Research Institute, Imperial College London, London, United Kingdom
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Dementia Research Institute, Imperial College London, London, United Kingdom
| | - Robert E Gerszten
- Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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45
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Shu X, Cai H, Lan Q, Cai Q, Ji BT, Zheng W, Shu XO. A Prospective Investigation of Circulating Metabolome Identifies Potential Biomarkers for Gastric Cancer Risk. Cancer Epidemiol Biomarkers Prev 2021; 30:1634-1642. [PMID: 33795214 DOI: 10.1158/1055-9965.epi-20-1633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 01/17/2021] [Accepted: 03/19/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Metabolomics is widely used to identify potential novel biomarkers for cancer risk. No investigation, however, has been conducted to prospectively evaluate the role of perturbation of metabolome in gastric cancer development. METHODS 250 incident cases diagnosed with primary gastric cancer were selected from the Shanghai Women's Health and the Shanghai Men's Health Study, and each was individually matched to one control by incidence density sampling. An untargeted global profiling platform was used to measure approximately 1,000 metabolites in prediagnostic plasma. Conditional logistic regression was utilized to generate ORs and P values. RESULTS Eighteen metabolites were associated with gastric cancer risk at P < 0.01. Among them, 11 metabolites were lysophospholipids or lipids of other classes; for example, 1-(1-enyl-palmitoyl)-GPE (P-16:0) (OR = 1.56; P = 1.89 × 10-4). Levels of methylmalonate, a suggested biomarker of vitamin B12 deficiency, was correlated with increased gastric cancer risk (OR = 1.42; P = 0.004). Inverse associations were found for three biomarkers for coffee/tea consumption (3-hydroxypyridine sulfate, quinate and N-(2-furoyl) glycine), although the associations were only significant when comparing cases that were diagnosed within 5 years after the blood collection to matched controls. Most of the identified associations were more profound in women and never smokers than their male or ever smoking counterparts and some with notable significant interactions. CONCLUSIONS Our study identified multiple potential risk biomarkers for gastric cancer independent of Helicobacter pylori infection and other major risk factors. IMPACT New risk-assessment tools to identify high-risk population could be developed to improve prevention of gastric cancer.See related commentary by Drew et al., p. 1601.
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Affiliation(s)
- Xiang Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee. .,Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Department of Health and Human Services, Bethesda, Maryland
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Bu-Tian Ji
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Department of Health and Human Services, Bethesda, Maryland
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
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46
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Yu D, Yang Y, Long J, Xu W, Cai Q, Wu J, Cai H, Zheng W, Shu XO. Long-term Diet Quality and Gut Microbiome Functionality: A Prospective, Shotgun Metagenomic Study among Urban Chinese Adults. Curr Dev Nutr 2021; 5:nzab026. [PMID: 33937616 PMCID: PMC8068758 DOI: 10.1093/cdn/nzab026] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/15/2021] [Accepted: 03/24/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Diet is known to affect human gut microbiome composition; yet, how diet affects gut microbiome functionality remains unclear. OBJECTIVE We compared the diversity and abundance/presence of fecal microbiome metabolic pathways among individuals according to their long-term diet quality. METHODS In 2 longitudinal cohorts, we assessed participants' usual diets via repeated surveys during 1996-2011 and collected a stool sample in 2015-2018. Participants who maintained a healthy or unhealthy diet (i.e., stayed in the highest or lowest quintile of a healthy diet score throughout follow-up) were selected. Participants were excluded if they reported a history of cancer, cardiovascular disease, diabetes, or hypertension; had diarrhea or constipation in the last 7 d; or used antibiotics in the last 6 mo before stool collection. Functional profiling of shotgun metagenomics was performed using HUMAnN2. Associations of dietary variables and 420 microbial metabolic pathways were evaluated via multivariable-adjusted linear or logistic regression models. RESULTS We included 144 adults (mean age = 64 y; 55% female); 66 had an unhealthy diet and 78 maintained a healthy diet. The healthy diet group had higher Shannon α-diversity indexes of microbial gene families and metabolic pathways (both P < 0.02), whereas β-diversity, as evaluated by Bray-Curtis distance, did not differ between groups (both P > 0.50). At P < 0.01 [false discovery rate (FDR) <0.15], the healthy diet group showed enriched pathways for vitamin and carrier biosynthesis (e.g., tetrahydrofolate, acetyl-CoA, and l-methionine) and tricarboxylic acid (TCA) cycle, and increased degradation (or reduced biosynthesis) of certain sugars [e.g., cytidine monophosphate (CMP)-legionaminate, deoxythymidine diphosphate (dTDP)-l-rhamnose, and sucrose], nucleotides, 4-aminobutanoate, methylglyoxal, sulfate, and aromatic compounds (e.g., catechol and toluene). Meanwhile, several food groups were associated with the CMP-legionaminate biosynthesis pathway at FDR <0.05. CONCLUSIONS In a small longitudinal study of generally healthy, older Chinese adults, we found long-term healthy eating was associated with increased α-diversity of microbial gene families and metabolic pathways and altered symbiotic functions relevant to human nutrition and health.
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Affiliation(s)
- Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yaohua Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wanghong Xu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jie Wu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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47
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Messina M, Mejia SB, Cassidy A, Duncan A, Kurzer M, Nagato C, Ronis M, Rowland I, Sievenpiper J, Barnes S. Neither soyfoods nor isoflavones warrant classification as endocrine disruptors: a technical review of the observational and clinical data. Crit Rev Food Sci Nutr 2021; 62:5824-5885. [PMID: 33775173 DOI: 10.1080/10408398.2021.1895054] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Soybeans are a rich source of isoflavones, which are classified as phytoestrogens. Despite numerous proposed benefits, isoflavones are often classified as endocrine disruptors, based primarily on animal studies. However, there are ample human data regarding the health effects of isoflavones. We conducted a technical review, systematically searching Medline, EMBASE, and the Cochrane Library (from inception through January 2021). We included clinical studies, observational studies, and systematic reviews and meta-analyses (SRMA) that examined the relationship between soy and/or isoflavone intake and endocrine-related endpoints. 417 reports (229 observational studies, 157 clinical studies and 32 SRMAs) met our eligibility criteria. The available evidence indicates that isoflavone intake does not adversely affect thyroid function. Adverse effects are also not seen on breast or endometrial tissue or estrogen levels in women, or testosterone or estrogen levels, or sperm or semen parameters in men. Although menstrual cycle length may be slightly increased, ovulation is not prevented. Limited insight could be gained about possible impacts of in utero isoflavone exposure, but the existing data are reassuring. Adverse effects of isoflavone intake were not identified in children, but limited research has been conducted. After extensive review, the evidence does not support classifying isoflavones as endocrine disruptors.
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Affiliation(s)
- Mark Messina
- Department of Nutrition, Loma Linda University, Loma Linda, California, USA
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Aedin Cassidy
- Nutrition and Preventive Medicine, Queen's University, Belfast, Northern Ireland, UK
| | - Alison Duncan
- College of Biological Sciences, University of Guelph, Guelph, Canada
| | - Mindy Kurzer
- Department of Food Science and Nutrition, University of Minnesota, Minneapolis, Minnesota, USA
| | - Chisato Nagato
- Graduate School of Medicine, Gifu University, Gifu, Japan
| | - Martin Ronis
- Health Sciences Center, Louisiana State University Health Sciences Center, Baton Rouge, New Orleans, USA
| | - Ian Rowland
- Human Nutrition, University of Reading, Reading, England, UK
| | | | - Stephen Barnes
- Department of Pharmacology and Toxicology, University of Alabama, Alabama, USA
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48
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Ji XW, Wang J, Shen QM, Li ZY, Jiang YF, Liu DK, Tan YT, Li HL, Xiang YB. Dietary fat intake and liver cancer incidence: A population-based cohort study in Chinese men. Int J Cancer 2021; 148:2982-2996. [PMID: 33559177 DOI: 10.1002/ijc.33507] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 01/31/2021] [Accepted: 02/02/2021] [Indexed: 02/06/2023]
Abstract
To date, limited studies have focused on the association between dietary fat and liver cancer risk, especially in China. Our study aims to evaluate the association between dietary fat intake and liver cancer incidence risk in men. Dietary fat intake was obtained through a validated food frequency questionnaire in a Chinese prospective cohort. The Cox regression model was utilized to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). After exclusion, 59 998 recruitments were finally analyzed with a total follow-up time of 714 339 person-years, 431 incident liver cancer cases were newly identified among them. The adjusted HRs (95% CIs) for the highest vs lowest quartile of total fat, saturated fat, monounsaturated fat (MUFA), and polyunsaturated fat (PUFA) were 1.33 (1.01-1.75), 1.50 (1.13-1.97), 1.26 (0.96-1.65), and 1.41 (1.07-1.86), and the corresponding P-trend values were .008, .005, .034, and .005, respectively. In the secondary analysis among participants tested for hepatitis B virus, we found that higher intakes of saturated fat and PUFA were also associated with increased liver cancer risks. Besides, high risks of per standard deviation alterations of the total fat, saturated fat and MUFA were detected in liver cancer, and these results were similar to those concluded from the full-cohort analysis. In conclusion, dietary intakes of total fat, saturated fat, PUFA, and probably MUFA might increase liver cancer risks. Our study provides suggestive advice to public administration on dietary suggestions, and related measures taken from managing dietary fat intake might reduce liver cancer incidence.
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Affiliation(s)
- Xiao-Wei Ji
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.,State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Jing Wang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Qiu-Ming Shen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.,State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Zhuo-Ying Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.,State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yu-Fei Jiang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.,State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Da-Ke Liu
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yu-Ting Tan
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Hong-Lan Li
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
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Food, Nutrition, Physical Activity and Microbiota: Which Impact on Lung Cancer? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18052399. [PMID: 33804536 PMCID: PMC7967729 DOI: 10.3390/ijerph18052399] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/11/2021] [Accepted: 02/23/2021] [Indexed: 02/07/2023]
Abstract
Lung cancer still represents the leading cause of cancer-related death, globally. Likewise, malnutrition and inactivity represent a major risk for loss of functional pulmonary capacities influencing overall lung cancer severity. Therefore, the adhesion to an appropriate health lifestyle is crucial in the management of lung cancer patients despite the subtype of cancer. This review aims to summarize the available knowledge about dietary approaches as well as physical activity as the major factors that decrease the risk towards lung cancer, and improve the response to therapies. We discuss the most significant dietary schemes positively associated to body composition and prognosis of lung cancer and the main molecular processes regulated by specific diet schemes, functional foods and physical activity, i.e., inflammation and oxidative stress. Finally, we report evidence demonstrating that dysbiosis of lung and/or gut microbiome, as well as their interconnection (the gut–lung axis), are strictly related to dietary patterns and regular physical activity playing a key role in lung cancer formation and progression, opening to the avenue of modulating the microbiome as coadjuvant therapy. Altogether, the evidence reported in this review highlights the necessity to consider non-pharmacological interventions (nutrition and physical activity) as effective adjunctive strategies in the management of lung cancer.
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50
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Feng GS, Li HL, Shen QM, Li ZY, Ji XW, Xiang YB. Population attributable risk of excess weight, abdominal obesity and physical inactivity for type 2 diabetes in Chinese men and women. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:326. [PMID: 33708953 PMCID: PMC7944258 DOI: 10.21037/atm-20-6121] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Background Given the high prevalence of type 2 diabetes mellitus (T2DM) in the Chinese population, it is necessary to estimate the T2DM incident attributable to obesity and physical inactivity. Methods We analyzed the data from the Shanghai Men's and Women's Health Studies, including 56,691 men and 70,849 women aged 40-74. The hazard ratios (HRs) and the population attributable risks (PARs) were calculated by Cox regression model and model-based estimation. Results A total of 3,315 male and 5,925 female cases were identified during 519,157 and 981,504 person-years, up to 31 December 2017. Excess weight, abdominal obesity were associated with the increased risks of T2DM both in women and men, while physical inactivity was only associated with an increased risk in men. A large proportion of T2DM incident cases can be attributed to excess body weight (women: 48.6%; men: 41.5%) and abdominal obesity (women: 50.4%; men: 30.3%). Physical activity was negatively associated with the risk of T2DM (Ptrend<0.01). The PARs adjusted for confounders were 3.6% for physical inactivity in men and 1.7% in women. Conclusions Excess weight and abdominal obesity accounted for a large proportion of T2DM incident cases in men and women; a small part of T2DM cases were attributed to physical inactivity in men. Weight control is of great significance in curbing the epidemic of diabetes.
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Affiliation(s)
- Guo-Shan Feng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong-Lan Li
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiu-Ming Shen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuo-Ying Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Wei Ji
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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