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Wang X, Wang J, Chen Y, Qian X, Luo S, Wang X, Ma C, Ge W. The aldehyde dehydrogenase 2 rs671 variant enhances amyloid β pathology. Nat Commun 2024; 15:2594. [PMID: 38519490 PMCID: PMC10959958 DOI: 10.1038/s41467-024-46899-0] [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: 08/11/2023] [Accepted: 03/12/2024] [Indexed: 03/25/2024] Open
Abstract
In the ALDH2 rs671 variant, a guanine changes to an adenine, resulting in a dramatic decrease in the catalytic activity of the enzyme. Population-based data are contradictory about whether this variant increases the risk of Alzheimer's disease. In East Asian populations, the prevalence of the ALDH2 rs671 variant is 30-50%, making the National Human Brain Bank for Development and Function (the largest brain bank in East Asia) an important resource to explore the link between the ALDH2 rs671 polymorphism and Alzheimer's disease pathology. Here, using 469 postmortem brains, we find that while the ALDH2 rs671 variant is associated with increased plaque deposits and a higher Aβ40/42 ratio, it is not an independent risk factor for Alzheimer's disease. Mechanistically, we show that lower ALDH2 activity leads to 4-HNE accumulation in the brain. The (R)-4-HNE enantiomer adducts to residue Lys53 of C99, favoring Aβ40 generation in the Golgi apparatus. Decreased ALDH2 activity also lowers inflammatory factor secretion, as well as amyloid β phagocytosis and spread in brains of patients with Alzheimer's disease. We thus define the relationship between the ALDH2 rs671 polymorphism and amyloid β pathology, and find that ALDH2 rs671 is a key regulator of Aβ40 or Aβ42 generation.
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Affiliation(s)
- Xia Wang
- Department of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Jiayu Wang
- Department of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Yashuang Chen
- Department of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Xiaojing Qian
- Department of Human Anatomy, Histology and Embryology, Neuroscience Center, National Human Brain Bank for Development and Function, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Shiqi Luo
- Department of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Xue Wang
- Department of Human Anatomy, Histology and Embryology, Neuroscience Center, National Human Brain Bank for Development and Function, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Chao Ma
- Department of Human Anatomy, Histology and Embryology, Neuroscience Center, National Human Brain Bank for Development and Function, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
| | - Wei Ge
- Department of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
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52
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Yu X, Gain EP, Kedia SK. Bidirectional associations between alcohol drinking and depressive symptom scores among US older adults. J Affect Disord 2024; 349:48-53. [PMID: 38190853 DOI: 10.1016/j.jad.2024.01.004] [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: 08/03/2023] [Revised: 11/22/2023] [Accepted: 01/03/2024] [Indexed: 01/10/2024]
Abstract
BACKGROUND This study examines the bidirectional associations between alcohol drinking and depression in which low to moderate alcohol drinking may reduce the risk of depression, while the occurrence of depression may increase the amount of alcohol drinking as a coping strategy. METHOD Data for the community-dwelling older adults from the Medicare Current Beneficiary Survey (MCBS) 2016 to 2019 were analyzed using random intercept cross-lagged panel models to explore the within-individual causal associations for males and females separately. Socioeconomic status (SES), smoking and comorbidities were adjusted in the models. RESULTS Among 3388 older adults with three measures for the number of alcohol drinks and Patient Health Questionnaire (PHQ) depression scores, a prior increase in the number of drinks was related to a moderate non-significant decrease in PHQ scores in the follow-up, but a previous increase in the PHQ scores was significantly associated with a decrease in the number of drinks at the follow-up visit in the adjusted models (regression coefficient = -0.144, p = 0.017 for males; and coefficient = -0.11, p < 0.001 for females). CONCLUSION Prior depression may lead to reduced drinking in the follow up visits, but no bidirectional association was found among US older adults.
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Affiliation(s)
- Xinhua Yu
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, United States of America.
| | - Easter P Gain
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, United States of America
| | - Satish K Kedia
- Division of Social Behavioral Sciences, School of Public Health, University of Memphis, United States of America
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53
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Tan H, Zhou H, Chen J, Ren H, Guo Y, Jiang X. Association of early life adversity with cardiovascular disease and its potential mechanisms: a narrative review. Front Public Health 2024; 12:1341266. [PMID: 38362223 PMCID: PMC10867864 DOI: 10.3389/fpubh.2024.1341266] [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: 11/20/2023] [Accepted: 01/15/2024] [Indexed: 02/17/2024] Open
Abstract
Strong epidemiological evidence has shown that early life adversity (ELA) has a profound negative impact on health in adulthood, including an increased risk of cardiovascular disease, the leading cause of death worldwide. Here, we review cohort studies on the effects of ELA on cardiovascular outcomes and the possible underlying mechanisms. In addition, we summarize relevant studies in rodent models of ELA. This review reveals that the prevalence of ELA varies between regions, time periods, and sexes. ELA increases cardiovascular health risk behaviors, susceptibility to mental illnesses, and neuroendocrine and immune system dysfunction in humans. Rodent models of ELA have been developed and show similar cardiovascular outcomes to those in humans but cannot fully replicate all ELA subtypes. Therefore, combining cohort and rodent studies to further investigate the mechanisms underlying the association between ELA and cardiovascular diseases may be a feasible future research strategy.
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Affiliation(s)
- Huiying Tan
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Huiting Zhou
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
| | - Jingmei Chen
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
| | - Huixia Ren
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
| | - Yi Guo
- Department of Neurology, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
| | - Xin Jiang
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital, Shenzhen, China
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Intra J, Ippolito S, Lorenzini F, Mauro A, Mazzitello MC, Melzi S, Cappellani A, Cappellini F, Casati M. Elevated urine norepinephrine levels and alcohol use: A relationship that should be not neglected. Clin Biochem 2024; 123:110704. [PMID: 38158170 DOI: 10.1016/j.clinbiochem.2023.110704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/20/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Affiliation(s)
- Jari Intra
- Clinical Chemistry Laboratory, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
| | - Silvia Ippolito
- Clinical Chemistry Laboratory, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Franco Lorenzini
- Clinical Chemistry Laboratory, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Antonio Mauro
- Clinical Chemistry Laboratory, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | | | - Stefano Melzi
- Clinical Chemistry Laboratory, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Adele Cappellani
- Clinical Chemistry Laboratory, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Fabrizio Cappellini
- Clinical Chemistry Laboratory, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Marco Casati
- Clinical Chemistry Laboratory, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
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Liang Y, Zou G, Wang D, Zeng W, Zhang J, Huang X, Lin M, Mai C, Song F, Zhang Y, Meng J, Feng H, Huang Y, Li X. Association of alcohol consumption with aortic aneurysm and dissection risk: results from the UK Biobank cohort study. World J Emerg Med 2024; 15:465-474. [PMID: 39600819 PMCID: PMC11586140 DOI: 10.5847/wjem.j.1920-8642.2024.096] [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: 02/02/2024] [Accepted: 06/20/2024] [Indexed: 11/29/2024] Open
Abstract
BACKGROUND Previous studies have reported inconsistent results with positive, negative, and J-shaped associations between alcohol consumption and the hazard of aortic aneurysm and dissection (AAD). This study aimed to examine the connections between weekly alcohol consumption and the subsequent risk of AAD. METHODS The UK Biobank study is a population-based cohort study. Weekly alcohol consumption was assessed using self-reported questionnaires and the congenital risk of alcohol consumption was also evaluated using genetic risk score (GRS). Cox proportional hazards models were used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) for the associations between alcohol consumption and AAD. Several sensitivity analyses were performed to assess the robustness of the results. RESULTS Among the 388,955 participants (mean age: 57.1 years, 47.4% male), 2,895 incident AAD cases were documented during a median follow-up of 12.5 years. Compared with never-drinkers, moderate drinkers (adjusted HR: 0.797, 95%CI: 0.646-0.984, P<0.05) and moderate-heavy drinkers (adjusted HR: 0.794, 95%CI: 0.635-0.992, P<0.05) were significantly associated with a decreased risk of incident AAD. Interaction-based subgroup analysis revealed that the protective effect of moderate drinking was reflected mainly in participants younger than 65 years and women. CONCLUSION Our findings support a protective effect of moderate alcohol consumption on AAD, but are limited to participants younger than 65 years and women.
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Affiliation(s)
- Yaowen Liang
- Department of Emergency Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Shantou University Medical College, Shantou 515063, China
| | - Guoxiang Zou
- Department of Emergency Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Dingchen Wang
- Department of Emergency Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- South China University of Technology, Guangzhou 510080, China
| | - Weiyue Zeng
- Department of Emergency Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- South China University of Technology, Guangzhou 510080, China
| | - Jiarui Zhang
- Department of Emergency Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- South China University of Technology, Guangzhou 510080, China
| | - Xiaoran Huang
- Department of Emergency Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Miao Lin
- Medical Big Data Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Cong Mai
- South China University of Technology, Guangzhou 510080, China
- Department of Critical Care Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Fei’er Song
- Department of Emergency Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Yuelin Zhang
- Department of Emergency Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Jinxiu Meng
- Department of Emergency Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Hongliang Feng
- Center for Sleep and Circadian Medicine, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510080, China
| | - Yu Huang
- Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Xin Li
- Department of Emergency Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Shantou University Medical College, Shantou 515063, China
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Icick R, Shadrin A, Holen B, Karadag N, Parker N, O'Connell K, Frei O, Bahrami S, Høegh M, Lagerberg T, Cheng W, Seibert T, Djurovic S, Dale A, Zhou H, Edenberg H, Gelernter J, Smeland O, Hindley G, Andreassen O. Identification of Novel Loci and Cross-Disorder Pleiotropy Through Multi-Ancestry Genome-Wide Analysis of Alcohol Use Disorder in Over One Million Individuals. RESEARCH SQUARE 2023:rs.3.rs-3755915. [PMID: 38196616 PMCID: PMC10775504 DOI: 10.21203/rs.3.rs-3755915/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Alcohol use disorder (AUD) is highly heritable and burdensome worldwide. Genome-wide association studies (GWASs) can provide new evidence regarding the aetiology of AUD. We report a multi-ancestry GWASs across diverse ancestries focusing on a narrow AUD phenotype, using novel statistical tools in a total sample of 1,041,450 individuals [102,079 cases; European, 75,583; African, 20,689 (mostly African-American); Hispanic American, 3,449; East Asian, 2,254; South Asian, 104; descent]. Cross-ancestry functional analyses were performed with European and African samples. Thirty-seven genome-wide significant loci were identified, of which seven were novel for AUD and six for other alcohol phenotypes. Loci were mapped to genes enriched for brain regions relevant for AUD (striatum, hypothalamus, and prefrontal cortex) and potential drug targets (GABAergic, dopaminergic and serotonergic neurons). African-specific analysis yielded a unique pattern of immune-related gene sets. Polygenic overlap and positive genetic correlations showed extensive shared genetic architecture between AUD and both mental and general medical phenotypes, suggesting they are not only complications of alcohol use but also share genetic liability with AUD. Leveraging a cross-ancestry approach allowed identification of novel genetic loci for AUD and underscores the value of multi-ancestry genetic studies. These findings advance our understanding of AUD risk and clinically-relevant comorbidities.
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Affiliation(s)
| | | | - Børge Holen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo
| | - Naz Karadag
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo
| | - Nadine Parker
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo
| | - Kevin O'Connell
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo
| | | | - Shahram Bahrami
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo
| | - Margrethe Høegh
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo
| | - Trine Lagerberg
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo
| | - Weiqiu Cheng
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo
| | - Tyler Seibert
- Department of Radiation Medicine and Applied Sciences, Department of Radiology, Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo; NORMENT Centre, Department of Clinical Science, University of Bergen, Bergen
| | - Anders Dale
- Department of Neurosciences, University of California San Diego
| | | | | | | | - Olav Smeland
- NORMENT Centre for Mental Disorders Research, University of Oslo and Oslo University Hospital
| | - Guy Hindley
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo
| | - Ole Andreassen
- Oslo University Hospital & Institute of Clinical Medicine, University of Oslo
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57
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Millwood IY, Im PK, Bennett D, Hariri P, Yang L, Du H, Kartsonaki C, Lin K, Yu C, Chen Y, Sun D, Zhang N, Avery D, Schmidt D, Pei P, Chen J, Clarke R, Lv J, Peto R, Walters RG, Li L, Chen Z. Alcohol intake and cause-specific mortality: conventional and genetic evidence in a prospective cohort study of 512 000 adults in China. Lancet Public Health 2023; 8:e956-e967. [PMID: 38000378 PMCID: PMC7615754 DOI: 10.1016/s2468-2667(23)00217-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 09/10/2023] [Accepted: 09/12/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND Genetic variants that affect alcohol use in East Asian populations could help assess the causal effects of alcohol consumption on cause-specific mortality. We aimed to investigate the associations between alcohol intake and cause-specific mortality using conventional and genetic epidemiological methods among more than 512 000 adults in China. METHODS The prospective China Kadoorie Biobank cohort study enrolled 512 724 adults (210 205 men and 302 519 women) aged 30-79 years, during 2004-08. Residents with no major disabilities from ten diverse urban and rural areas of China were invited to participate, and alcohol use was self-reported. During 12 years of follow-up, 56 550 deaths were recorded through linkage to death registries, including 23 457 deaths among 168 050 participants genotyped for ALDH2-rs671 and ADH1B-rs1229984. Adjusted hazard ratios (HRs) for cause-specific mortality by self-reported and genotype-predicted alcohol intake were estimated using Cox regression. FINDINGS 33% of men drank alcohol most weeks. In conventional observational analyses, ex-drinkers, non-drinkers, and heavy drinkers had higher risks of death from most major causes than moderate drinkers. Among current drinkers, each 100 g/week higher alcohol intake was associated with higher mortality risks from cancers (HR 1·18 [95% CI 1·14-1·22]), cardiovascular disease (CVD; HR 1·19 [1·15-1·24]), liver diseases (HR 1·51 [1·27-1·78]), non-medical causes (HR 1·15 [1·08-1·23]), and all causes (HR 1·18 [1·15-1·20]). In men, ALDH2-rs671 and ADH1B-rs1229984 genotypes predicted 60-fold differences in mean alcohol intake (4 g/week in the lowest group vs 255 g/week in the highest). Genotype-predicted alcohol intake was uniformly and positively associated with risks of death from all causes (n=12 939; HR 1·07 [95% CI 1·05-1·10]) and from pre-defined alcohol-related cancers (n=1274; 1·12 [1·04-1·21]), liver diseases (n=110; 1·31 [1·02-1·69]), and CVD (n=6109; 1·15 [1·10-1·19]), chiefly due to stroke (n=3285; 1·18 [1·12-1·24]) rather than ischaemic heart disease (n=2363; 1·06 [0·99-1·14]). Results were largely consistent using a polygenic score to predict alcohol intake, with higher intakes associated with higher risks of death from alcohol-related cancers, CVD, and all causes. Approximately 2% of women were current drinkers, and although power was low to assess observational associations of alcohol with mortality, the genetic evidence suggested that the excess risks in men were due to alcohol, not pleiotropy. INTERPRETATION Higher alcohol intake increased the risks of death overall and from major diseases for men in China. There was no genetic evidence of protection from moderate drinking for all-cause and cause-specific mortality, including CVD. FUNDING Kadoorie Charitable Foundation, National Natural Science Foundation of China, British Heart Foundation, Cancer Research UK, GlaxoSmithKline, Wellcome Trust, Medical Research Council, and Chinese Ministry of Science and Technology.
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Affiliation(s)
- Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Pek Kei Im
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Derrick Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Parisa Hariri
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Christiana Kartsonaki
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kuang Lin
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Ningmei Zhang
- NCD Prevention and Control Department, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | - Daniel Avery
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Dan Schmidt
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Richard Peto
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Robin G Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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58
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Kanclerz P, Hecht I, Tuuminen R. Is Occasional Alcohol Drinking and Smoking Related to the Development of Age-Related Cataract? Invest Ophthalmol Vis Sci 2023; 64:8. [PMID: 37792333 PMCID: PMC10565702 DOI: 10.1167/iovs.64.13.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 08/03/2023] [Indexed: 10/05/2023] Open
Affiliation(s)
- Piotr Kanclerz
- Helsinki Retina Research Group, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Hygeia Clinic, Gdańsk, Poland
| | - Idan Hecht
- Helsinki Retina Research Group, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Ophthalmology, Shamir Medical Center, Tel Aviv, Israel
| | - Raimo Tuuminen
- Helsinki Retina Research Group, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- The Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
- Department of Ophthalmology, Kymenlaakso Central Hospital, Kotka, Finland
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59
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Wang Z, Wang Z, Yan Z, Xu Z, Gao A. Smoking, alcohol consumption and risk of Dupuytren's disease: a Mendelian randomization study. BMC Med Genomics 2023; 16:212. [PMID: 37679690 PMCID: PMC10483747 DOI: 10.1186/s12920-023-01650-4] [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: 06/26/2023] [Accepted: 08/29/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND The correlation between smoking and alcohol consumption and the development of Dupuytren's disease (DD) has been acknowledged. However, the definitive causal relationship between these two factors and DD remains elusive. In order to establish a causal connection, we employed the two-sample Mendelian randomization method to evaluate the relationship between smoking and alcohol consumption and DD. METHODS Based on publicly available genome-wide association studies (GWAS), two-sample univariate MR analyses were performed to assess the causal effects of drinks per week, cigarettes per day, smoking initiation, age of initiation, and smoking cessation on DD. We used inverse variance weighted (IVW) to generate the primary results for the MR analysis. Furthermore, we performed sensitivity MR analyses based on various methods to assess the robustness of estimations. Bidirectional MR analyses were used to study the interaction between smoking and alcohol consumption. Multivariate MR analyses were used to obtain independent causal effects of smoking or drinking on DD. RESULTS Our two-sample MR, which was predominately based on IVW, revealed a causal relationship between drinks per week and DD (OR = 2.948, 95%CI: 1.746-4.975, P = 5.16E-05). In addition, there is no causal association between cigarettes per day, smoking initiation, age of initiation, smoking cessation and DD. Similar conclusions were reached by other MR methods. The results of the bidirectional MR analyses showed that the causal relationships between age of initiation and drinks per week were robust and significant. Multivariate MR results indicated that the causal effect of alcohol consumption on DD was independent of smoking. CONCLUSION Our Mendelian Randomization study indicated that there is a causality between drinking alcohol and DD, but no such causality was found between smoking and DD. This is the first study to prove that drinking alcohol could cause DD. This could help people who are trying to prevent DD from happening in the first place.
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Affiliation(s)
- Zifeng Wang
- Department of Orthopedics, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214000, China
- Department of Orthopedics, Taicang Shaxi People's Hospital, Taicang, 215400, China
| | - Zhenyu Wang
- Department of Orthopedics, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214000, China
| | - Zijian Yan
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Zhujie Xu
- Department of Orthopedics, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214000, China.
| | - Aiguo Gao
- Department of Orthopedics, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214000, China.
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