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Hou H, Huang S, Huang W, Huang L, Zhang Z, Liang L. Aldehyde Dehydrogenase 2 rs671 Polymorphism is Associated with Susceptibility of Coronary Atherosclerosis in Patients with Hypertension. Int J Gen Med 2025; 18:681-690. [PMID: 39959460 PMCID: PMC11827492 DOI: 10.2147/ijgm.s501396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2024] [Accepted: 02/02/2025] [Indexed: 02/18/2025] Open
Abstract
Objective Predisposing factors for coronary atherosclerosis in hypertensive individuals are unclear. Atherosclerosis is a chronic inflammatory disease caused by lipid deposition in the blood vessels, and aldehyde dehydrogenase 2 (ALDH2) is involved in this process. The aim of this study was to assess the relationship between ALDH2 rs671 polymorphism, serum lipids, peripheral inflammation indices (pan-immune inflammation value (PIV), systemic immune inflammation index (SII), and system inflammation response index (SIRI)) and coronary atherosclerosis risk in hypertensive patients. Methods A total of 923 patients with hypertension (439 patients with coronary atherosclerosis, and 484 without) who were admitted to Meizhou People's Hospital between January 2019 and February 2024 were retrospectively analyzed. The relationship between ALDH2 rs671 polymorphism, serum lipid levels, and peripheral inflammation indices and the risk of coronary atherosclerosis was analyzed. Results There were 532 (57.6%), 337 (36.5%), and 54 (5.9%) individuals with ALDH2 rs671 G/G, G/A, and A/A genotype, respectively. The frequency of the ALDH2 rs671 G/A genotype, and the levels of TC, LDL-C, PIV, SII, and SIRI in patients with coronary atherosclerosis were higher than those in controls. Logistic analysis showed that body mass index (BMI) ≥24.0 kg/m2 (odds ratio (OR): 1.670, 95% confidence interval (CI): 1.185-2.352, p=0.003), history of smoking (OR: 2.024, 95% CI: 1.263-3.243, p=0.003), ALDH2 rs671 G/A genotype (OR: 1.821, 95% CI: 1.280-2.589, p=0.001), high TC (OR: 1.592, 95% CI: 1.021-2.485, p=0.040), high SII (OR: 2.290, 95% CI: 1.386-3.784, p=0.001), and high SIRI (OR: 1.727, 95% CI: 1.126-2.650, p=0.012) were associated with coronary atherosclerosis in patients with hypertension. Conclusion Overweight (BMI ≥24.0 kg/m2), history of smoking, ALDH2 rs671 G/A genotype, high TC, SII, and SIRI levels were associated risk factors for coronary atherosclerosis in patients with hypertension.
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Affiliation(s)
- Haisong Hou
- Department of Blood Transfusion, Meizhou People’s Hospital, Meizhou, People’s Republic of China
| | - Sina Huang
- Department of Cardiovascular Surgery, Meizhou People’s Hospital, Meizhou, People’s Republic of China
| | - Wenyi Huang
- Center for Surgical Operation, Meizhou People’s Hospital, Meizhou, People’s Republic of China
| | - Lingmei Huang
- Department of Blood Transfusion, Meizhou People’s Hospital, Meizhou, People’s Republic of China
| | - Zhouhua Zhang
- Center for Cardiovascular Diseases, Meizhou People’s Hospital, Meizhou, People’s Republic of China
| | - Liu Liang
- Department of Laboratory Medicine, Meizhou People’s Hospital, Meizhou, People’s Republic of China
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Hisamatsu T, Tabara Y, Kadota A, Torii S, Kondo K, Yano Y, Shiino A, Nozaki K, Okamura T, Ueshima H, Miura K. Alcohol Consumption and Cerebral Small- and Large-Vessel Diseases: A Mendelian Randomization Analysis. J Atheroscler Thromb 2024; 31:135-147. [PMID: 37612092 PMCID: PMC10857837 DOI: 10.5551/jat.64222] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 07/11/2023] [Indexed: 08/25/2023] Open
Abstract
AIMS It remains inconclusive regarding alcohol intake and stroke risk because determining risk factors depends on the specific pathogenesis of stroke. We used the variant rs671 in the aldehyde dehydrogenase 2 gene (ALDH2) as an instrument to investigate the causal role of alcohol intake in cerebral small- and large-vessel diseases. METHODS We studied 682 men (mean age, 70.0 years), without stroke, in a cross-sectional Mendelian randomization analysis. We assessed small-vessel diseases (SVDs), which comprised lacunar infarcts, white matter hyperintensities (WMHs), and cerebral microbleeds, and large intracranial artery stenosis (ICAS) on brain magnetic resonance imaging. RESULTS The median (25%tiles, 75%tiles) alcohol consumption by ALDH2-rs671 inactive A allele (n=313 [45.9%]) and non-A allele (n=369 [54.1%]) carriers was 3.5 (0.0, 16.0) and 32.0 (12.9, 50.0) g/day, respectively. Non-A allele carriers had higher prevalent hypertension and lower low-density lipoprotein cholesterol concentrations than A allele carriers. In age-adjusted ordinal logistic regression for graded burden, odds ratios (95% confidence intervals) for total SVDs, lacunar infarcts, WMHs, cerebral microbleeds, and ICAS in non-Aallele carriers were 1.46 (1.09-1.94), 1.41 (0.95-2.08), 1.39 (1.05-1.85), 1.69 (1.06-2.69), and 0.70 (0.50-0.98), respectively, compared with A allele carriers. These associations attenuated to statistical non-significance after considering covariates and amount of alcohol intake. CONCLUSIONS Our findings suggest a positive association of alcohol consumption with risk of cerebral SVDs and its inverse association with risk of large-vessel disease through intermediaries, such as hypertension or low-density lipoprotein cholesterol. These findings provide insight into potential causal mechanisms linking alcohol consumption with stroke risk.
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Affiliation(s)
- Takashi Hisamatsu
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Yasuharu Tabara
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
| | - Sayuki Torii
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
| | - Keiko Kondo
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
| | - Yuichiro Yano
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Akihiko Shiino
- Molecular Neuroscience Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Kazuhiko Nozaki
- Department of Neurosurgery, Shiga University of Medical Science, Shiga, Japan
| | - Tomonori Okamura
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Hirotsugu Ueshima
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
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Hirata T, Hirata A, Torii S, Takashima N, Kadota A, Choudhury SR, Okayama A, Miura K, Okamura T. Association between alcohol intake and death from cardiovascular diseases and its subtypes stratified by dyslipidemia in Japanese men: 20-years follow-up of NIPPON DATA90. Environ Health Prev Med 2024; 29:61. [PMID: 39496440 PMCID: PMC11551442 DOI: 10.1265/ehpm.24-00164] [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: 06/02/2024] [Accepted: 08/09/2024] [Indexed: 11/06/2024] Open
Abstract
BACKGROUND The association between alcohol consumption and atherosclerotic cardiovascular disease (ASCVD) was controversial, and no previous studies have shown the impact of dyslipidemia on the association. We aimed to clarify the association between alcohol consumption and death from cardiovascular disease (CVD) and its subtypes and the impact of dyslipidemia on the association. METHODS We conducted a 20-year cohort study to clarify the association between alcohol intake and death from CVD and its subtypes in 2,909 Japanese men. We estimated the hazard ratio (HR) and 95% confidence intervals (CIs) for current drinkers with non-drinkers as the reference, after adjusting for potential confounders using Cox proportional hazards models. We also investigated the association between alcohol consumption and ASCVD or CVD death stratified by the presence or absence of dyslipidemia. RESULTS During 50,782 person-years of follow-up period, 223 participants died from total CVD, 110 participants died from ASCVD, and 25 participants died from cerebral hemorrhage. Current drinkers with 1 gou/day were significantly associated with lower risk of ASCVD (HR: 0.60, 95%CI: 0.37-0.98), which is more apparent in those without dyslipidemia, and current drinkers with ≥3 gou/day were significantly associated with higher risk of cerebral hemorrhage (HR: 4.13, 95%CI: 1.12-15.19). CONCLUSIONS Small amounts of alcohol drinking were associated with lower risk of ASCVD in Japanese men, especially those without dyslipidemia. Meanwhile, excessive alcohol drinking was associated with higher risk of cerebral hemorrhage. Our findings suggest that it is important for current Japanese drinkers to reduce alcohol consumption for preventing ASCVD or cerebral hemorrhage.
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Affiliation(s)
- Takumi Hirata
- Human Care Research Team, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Aya Hirata
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Sayuki Torii
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Naoyuki Takashima
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Sohel Reza Choudhury
- Department of Epidemiology and Research, National Heart Foundation Hospital and Research Institute, Dhaka, Bangladesh
| | - Akira Okayama
- The Research Institute of Strategy for Prevention, Tokyo, Japan
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - NIPPON DATA90 Study Group
- Human Care Research Team, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
- Department of Epidemiology and Research, National Heart Foundation Hospital and Research Institute, Dhaka, Bangladesh
- The Research Institute of Strategy for Prevention, Tokyo, Japan
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Kitaoka K, Miura K, Takashima N, Kadota A, Harada A, Nakamura Y, Kita Y, Yano Y, Tamura T, Nagayoshi M, Okada R, Kubo Y, Suzuki S, Nishiyama T, Tanoue S, Koriyama C, Kuriki K, Arisawa K, Katsuura-Kamano S, Nishida Y, Shimanoe C, Ozaki E, Matsui D, Ikezaki H, Otonari J, Oze I, Koyanagi YN, Nakamura Y, Kusakabe M, Wakai K, Matsuo K. Association between Dietary Patterns and Serum Low Density Lipoprotein Cholesterol in Japanese Women and Men: The Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. J Atheroscler Thromb 2023; 30:1427-1447. [PMID: 36725019 PMCID: PMC10564668 DOI: 10.5551/jat.63675] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/05/2022] [Indexed: 02/03/2023] Open
Abstract
AIMS The association between dietary patterns and serum low density lipoprotein (LDL) cholesterol would be changing in recent dietary habits in Japan. We investigated the relationship between dietary patterns and serum LDL cholesterol in a large general population. METHODS From the baseline survey of Japan Multi-Institutional Collaborative Cohort Study between 2005 and 2013, 27,237 participants (13,994 were women) aged 35-69 years were cross-sectionally analyzed. Using a semi-quantitative food frequency questionnaire, five major sex-specific dietary patterns were identified using factor analysis. We assessed serum LDL cholesterol by quintiles of dietary pattern factor score. RESULTS We identified dietary patterns; "vegetable rich pattern" , "meat and fried food rich pattern" and "high bread and low rice pattern" in women and men; "fish and shellfish rich pattern" and "high confectioneries and low alcohol pattern" in men; "healthy Japanese diet pattern" and "high alcohol and low rice pattern" in women. Serum LDL cholesterol in men was associated with "high bread and low rice pattern" score (Q5 was 4.2 mg/dL higher than Q1, p for trend <0.001) and "high confectioneries and low alcohol pattern" scores (Q5 was 9.5 mg/dL higher than Q1, p for trend <0.001). In women, serum LDL cholesterol was associated with "high bread and low rice pattern" score (Q5 was 7.1 mg/dL higher than Q1, p for trend <0.001). CONCLUSION Some recent dietary patterns in Japan were associated with serum LDL cholesterol. Serum LDL cholesterol was associated with high bread and low rice pattern in both sex, and high confectioneries and low alcohol pattern in men.
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Affiliation(s)
- Kaori Kitaoka
- Department of Advanced Epidemiology, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Department of Preventive Medicine, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Naoyuki Takashima
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Kinki University Faculty of Medicine, Osaka, Japan
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Department of Preventive Medicine, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Akiko Harada
- Department of Medical Statistics, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Yasuyuki Nakamura
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Takeda Hospital Medical Examination Center, Kyoto, Japan
| | - Yoshikuni Kita
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan
| | - Yuichiro Yano
- Department of Advanced Epidemiology, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
- Department of Family Medicine and Community Health, Duke University, NC, USA
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Takeshi Nishiyama
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Shiroh Tanoue
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | | | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Aichi, Japan
| | - Yuriko N. Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Aichi, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Miho Kusakabe
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Aichi, Japan
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Aichi, Japan
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Zhang J, Guo Y, Zhao X, Pang J, Pan C, Wang J, Wei S, Yu X, Zhang C, Chen Y, Yin H, Xu F. The role of aldehyde dehydrogenase 2 in cardiovascular disease. Nat Rev Cardiol 2023; 20:495-509. [PMID: 36781974 DOI: 10.1038/s41569-023-00839-5] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/09/2023] [Indexed: 02/15/2023]
Abstract
Aldehyde dehydrogenase 2 (ALDH2) is a mitochondrial enzyme involved in the detoxification of alcohol-derived acetaldehyde and endogenous aldehydes. The inactivating ALDH2 rs671 polymorphism, present in up to 8% of the global population and in up to 50% of the East Asian population, is associated with increased risk of cardiovascular conditions such as coronary artery disease, alcohol-induced cardiac dysfunction, pulmonary arterial hypertension, heart failure and drug-induced cardiotoxicity. Although numerous studies have attributed an accumulation of aldehydes (secondary to alcohol consumption, ischaemia or elevated oxidative stress) to an increased risk of cardiovascular disease (CVD), this accumulation alone does not explain the emerging protective role of ALDH2 rs671 against ageing-related cardiac dysfunction and the development of aortic aneurysm or dissection. ALDH2 can also modulate risk factors associated with atherosclerosis, such as cholesterol biosynthesis and HDL biogenesis in hepatocytes and foam cell formation and efferocytosis in macrophages, via non-enzymatic pathways. In this Review, we summarize the basic biology and the clinical relevance of the enzymatic and non-enzymatic, tissue-specific roles of ALDH2 in CVD, and discuss the future directions in the research and development of therapeutic strategies targeting ALDH2. A thorough understanding of the complex roles of ALDH2 in CVD will improve the diagnosis, management and prognosis of patients with CVD who harbour the ALDH2 rs671 polymorphism.
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Affiliation(s)
- Jian Zhang
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Yunyun Guo
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Xiangkai Zhao
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Jiaojiao Pang
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Chang Pan
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Jiali Wang
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Shujian Wei
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Xiao Yu
- Key Laboratory Experimental Teratology of the Ministry of Education, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shandong University, Shandong, China
| | - Cheng Zhang
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
- Department of Cardiology, Qilu Hospital of Shandong University, Shandong, China
| | - Yuguo Chen
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China.
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China.
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China.
| | - Huiyong Yin
- Chinese Academy of Sciences Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Chinese Academy of Sciences, Shanghai, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
| | - Feng Xu
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China.
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China.
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China.
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Gill PK, Hegele RA. Low cholesterol states: clinical implications and management. Expert Rev Endocrinol Metab 2023; 18:241-253. [PMID: 37089071 DOI: 10.1080/17446651.2023.2204932] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 04/17/2023] [Indexed: 04/25/2023]
Abstract
INTRODUCTION Hypocholesterolemia results from genetic - both monogenic and polygenic - and non-genetic causes and can sometimes be a source of clinical concern. We review etiologies and sequelae of hypocholesterolemia and therapeutics inspired from genetic hypocholesterolemia. AREAS COVERED Monogenic hypocholesterolemia disorders caused by the complete absence of apolipoprotein (apo) B-containing lipoproteins (abetalipoproteinemia and homozygous hypobetalipoproteinemia) or an isolated absence of apo B-48 lipoproteinemia (chylomicron retention disease) lead to clinical sequelae. These include gastrointestinal disturbances and severe vitamin deficiencies that affect multiple body systems, i.e. neurological, musculoskeletal, ophthalmological, and hematological. Monogenic hypocholesterolemia disorders with reduced but not absent levels of apo B lipoproteins have a milder clinical presentation and patients are protected against atherosclerotic cardiovascular disease. Patients with heterozygous hypobetalipoproteinemia have somewhat increased risk of hepatic disease, while patients with PCSK9 deficiency, ANGPTL3 deficiency, and polygenic hypocholesterolemia typically have anunremarkable clinical presentation. EXPERT OPINION In patients with severe monogenic hypocholesterolemia, early initiation of high-dose vitamin therapy and a low-fat diet are essential for optimal prognosis. The molecular basis of monogenic hypocholesterolemia has inspired novel therapeutics to help patients with the opposite phenotype - i.e. elevated apo B-containing lipoproteins. In particular, inhibitors of PCSK9 and ANGPTL3 show important clinical impact.
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Affiliation(s)
- Praneet K Gill
- Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Robert A Hegele
- Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Canada
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7
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Luo Z, Cheng J, Wang Y. Effects of the genetic variants of alcohol-metabolizing enzymes on lipid levels in Asian populations: a systematic review and meta-analysis. Nutr Rev 2022:6960646. [PMID: 36565468 DOI: 10.1093/nutrit/nuac100] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
CONTEXT Emerging evidence indicates that variants of alcohol-metabolizing enzymes may influence lipid metabolism. OBJECTIVE This study aimed to investigate whether the rs671 and rs1229984 variants affect lipid levels in East Asian individuals. DATA SOURCES PubMed, Foreign Medical Journal Service, Embase, Cochrane Library, Scopus, MEDLINE, Web of Science, Web of Knowledge, Wanfang, and Chinese Biomedical Literature databases were searched until December 31, 2021. DATA EXTRACTION Meta-analyses of studies that examined the effects of alcohol-metabolizing enzyme variants on lipid levels, as well as the interaction with alcohol intake, were selected. Data extraction was conducted independently by two investigators and confirmed by the third. DATA ANALYSIS In total, 86 studies (179 640 individuals) were analyzed. The A allele of rs671 (a functional variant in the ALDH2 gene) was linked to higher levels of low-density lipoprotein cholesterol (LDL-C) and lower levels of triglycerides and high-density lipoprotein cholesterol. In contrast, the A allele of the rs1229984 (a functional variant in the ADH2 gene) was associated only with lower levels of LDL-C. The effects of rs671 and rs1229984 on lipid levels were much stronger in Japanese than in Chinese individuals and in males than in females. Regression analysis indicated that the effects of rs671 on lipid levels were independent of alcohol intake in an integrated East Asian population (ie, Japanese, Chinese, and Korean individuals). Intriguingly, alcohol intake had a statistical influence on lipid levels when the sample analyzed was restricted to Japanese individuals or to males. CONCLUSIONS The rs671 and rs1229984 variants of alcohol-metabolizing enzymes have significant effects on lipid levels and may serve as genetic markers for lipid dyslipidemia in East Asian populations. Circulating lipid levels in Japanese individuals and in males were modulated by the interaction between rs671 and alcohol intake.
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Affiliation(s)
- Zhi Luo
- Department of General Medicine and Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Jun Cheng
- Department of General Medicine and Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China.,Medical Research Institute of Wuhan University, Wuhan University, Wuhan, China
| | - Yanggan Wang
- Department of General Medicine and Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China.,Medical Research Institute of Wuhan University, Wuhan University, Wuhan, China
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8
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Correale M, Brunetti ND. Alcohol consumption and subclinical and clinical coronary heart disease: new insight into potential causal mechanisms. Eur J Prev Cardiol 2022; 29:2003-2005. [PMID: 36031738 DOI: 10.1093/eurjpc/zwac190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Michele Correale
- Cardiothoracic Department, Policlinico Riuniti University Hospital, Foggia, Italy
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9
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Hisamatsu T, Miura K, Tabara Y, Sawayama Y, Kadowaki T, Kadota A, Torii S, Kondo K, Yano Y, Fujiyoshi A, Yamamoto T, Nakagawa Y, Horie M, Kimura T, Okamura T, Ueshima H. Alcohol consumption and subclinical and clinical coronary heart disease: A Mendelian randomization analysis. Eur J Prev Cardiol 2022; 29:2006-2014. [PMID: 35907253 DOI: 10.1093/eurjpc/zwac156] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/21/2022] [Accepted: 07/23/2022] [Indexed: 11/15/2022]
Abstract
AIMS The potential effect of alcohol consumption on coronary heart disease (CHD) remains unclear. We used the variant rs671 in the aldehyde dehydrogenase 2 gene (ALDH2) as an instrument to investigate the causal role of alcohol intake in subclinical and clinical CHD. METHODS We conducted two Mendelian randomization studies: a cross-sectional study of coronary artery calcification (CAC) on computed tomography of 1029 healthy men (mean age, 63.8 years) and a case-control study of 421 men with CHD (acute coronary syndrome [ACS] or stable angina pectoris) who underwent coronary revascularization and 842 age-matched male controls. RESULTS In the CAC study, medians (25%tiles, 75%tiles) of alcohol consumption by ALDH2-rs671 *2 homozygotes (n = 86 [8.4%]), *1*2 heterozygotes (n = 397 [38.5%]), and *1 homozygotes (n = 546 [53.1%]) were 0.0 (0.0, 0.0), 28.0 (0.0, 129.0), and 224.0 (84.0, 350.0) g/week, respectively. In age-adjusted Poisson regression with robust error variance, compared with *2 homozygotes, relative risks for prevalent CAC score >0, ≥100, and ≥300 in *1 homozygotes were 1.29 (95% confidence interval, 1.06-1.57), 1.76 (1.05-2.96), and 1.81 (0.80-4.09), respectively. In age-adjusted ordinal logistic regression for CAC distributions, we observed higher odds among *1 homozygotes (odds ratio, 2.19 [1.39-3.46]) and even among *1*2 heterozygotes (1.77 [1.11-2.82]) compared with *2 homozygotes. In the case-control study, conditional logistic regression revealed lower prevalence of *1 homozygotes among men with CHD (odds ratio, 0.54 [0.35-0.82]), especially ACS (0.46 [0.27-0.77]), than controls. CONCLUSION Our findings indicate a positive association of alcohol consumption with CAC burden but an inverse association with clinical CHD, especially ACS.
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Affiliation(s)
- Takashi Hisamatsu
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan.,Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan.,NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Yasuharu Tabara
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan.,Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Yuichi Sawayama
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Takashi Kadowaki
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Sayuki Torii
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Keiko Kondo
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Yuichiro Yano
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan.,NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Akira Fujiyoshi
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan.,Department of Hygiene, Wakayama Medical University, Wakayama, Japan
| | - Takashi Yamamoto
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Otsu, Japan.,Division of Cardiology, Department of Internal Medicine, Kohka Public Hospital, Kohka, Japan
| | - Yoshihisa Nakagawa
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Minoru Horie
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Takeshi Kimura
- Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomonori Okamura
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan.,Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Hirotsugu Ueshima
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan.,NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
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10
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van de Luitgaarden IAT, van Oort S, Bouman EJ, Schoonmade LJ, Schrieks IC, Grobbee DE, van der Schouw YT, Larsson SC, Burgess S, van Ballegooijen AJ, Onland-Moret NC, Beulens JWJ. Alcohol consumption in relation to cardiovascular diseases and mortality: a systematic review of Mendelian randomization studies. Eur J Epidemiol 2022; 37:655-669. [PMID: 34420153 PMCID: PMC9329419 DOI: 10.1007/s10654-021-00799-5] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 08/11/2021] [Indexed: 11/05/2022]
Abstract
The causal effects of alcohol-in-moderation on cardiometabolic health are continuously debated. Mendelian randomization (MR) is an established method to address causal questions in observational studies. We performed a systematic review of the current evidence from MR studies on the association between alcohol consumption and cardiometabolic diseases, all-cause mortality and cardiovascular risk factors. We performed a systematic search of the literature, including search terms on type of design and exposure. We assessed methodological quality based on key elements of the MR design: use of a full instrumental variable analysis and validation of the three key MR assumptions. We additionally looked at exploration of non-linearity. We reported the direction of the studied associations. Our search yielded 24 studies that were eligible for inclusion. A full instrumental variable analysis was performed in 17 studies (71%) and 13 out of 24 studies (54%) validated all three key assumptions. Five studies (21%) assessed potential non-linearity. In general, null associations were reported for genetically predicted alcohol consumption with the primary outcomes cardiovascular disease (67%) and diabetes (75%), while the only study on all-cause mortality reported a detrimental association. Considering the heterogeneity in methodological quality of the included MR studies, it is not yet possible to draw conclusions on the causal role of moderate alcohol consumption on cardiometabolic health. As MR is a rapidly evolving field, we expect that future MR studies, especially with recent developments regarding instrument selection and non-linearity methodology, will further substantiate this discussion.
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Affiliation(s)
- Inge A T van de Luitgaarden
- UMC Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands.
| | - Sabine van Oort
- Amsterdam UMC locatie VUmc, Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences Research Institute and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Emma J Bouman
- Amsterdam UMC locatie VUmc, Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences Research Institute and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Linda J Schoonmade
- Vrije Universiteit Amsterdam, University Library, Amsterdam, The Netherlands
| | - Ilse C Schrieks
- UMC Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands
- Julius Clinical, Zeist, The Netherlands
| | - Diederick E Grobbee
- UMC Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands
- Julius Clinical, Zeist, The Netherlands
| | - Yvonne T van der Schouw
- UMC Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands
| | - Susanna C Larsson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Adriana J van Ballegooijen
- Amsterdam UMC locatie VUmc, Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences Research Institute and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Nephrology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - N Charlotte Onland-Moret
- UMC Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands
| | - Joline W J Beulens
- UMC Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands
- Amsterdam UMC locatie VUmc, Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences Research Institute and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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11
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Jung HY, Jeon Y, Huh KH, Park JB, Kim MG, Lee S, Han S, Ro H, Yang J, Ahn C, Cho JH, Park SH, Kim YL, Kim CD. Pretransplant and Posttransplant Alcohol Consumption and Outcomes in Kidney Transplantation: A Prospective Multicenter Cohort Study. Transpl Int 2022; 35:10243. [PMID: 35707634 PMCID: PMC9189664 DOI: 10.3389/ti.2022.10243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 04/06/2022] [Indexed: 11/29/2022]
Abstract
The impact of pretransplant and posttransplant alcohol consumption on outcomes in kidney transplant recipients (KTRs) is uncertain. Self-reported alcohol consumption was obtained at the time of transplant and 2 years after transplant in a prospective cohort study. Among 907 KTRs, 368 (40.6%) were drinkers at the time of transplant. Compared to non-drinkers, alcohol consumption did not affect the risk of death-censored graft failure (DCGF), biopsy-proven acute rejection (BPAR), cardiovascular events, or all-cause mortality. Compared to persistent non-drinkers, the development of DCGF, BPAR, cardiovascular events, all-cause mortality, or posttransplant diabetes mellitus was not affected by the alcohol consumption pattern (persistent, de novo, or stopped drinking) over time. However, de novo drinkers had a significantly higher total cholesterol (p < 0.001) and low-density lipoprotein cholesterol levels (p = 0.005) compared to persistent non-drinkers 5 years after transplant, and had significantly higher total cholesterol levels (p = 0.002) compared to the stopped drinking group 7 years after transplant, even after adjusting for the use of lipid-lowering agents, age, sex, and body mass index. Although pretransplant and posttransplant alcohol consumption were not associated with major outcomes in KTRs during the median follow-up of 6.0 years, a new start of alcohol use after KT results in a relatively poor lipid profile. Clinical Trial Registration:clinicaltrials.gov, identifier NCT02042963.
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Affiliation(s)
- Hee-Yeon Jung
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea
- *Correspondence: Hee-Yeon Jung, ; Chan-Duck Kim,
| | - Yena Jeon
- Department of Statistics, Kyungpook National University, Daegu, South Korea
| | - Kyu Ha Huh
- Department of Surgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Jae Berm Park
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Myung-Gyu Kim
- Department of Internal Medicine, Korea University College of Medicine, Seoul, South Korea
| | - Sik Lee
- Department of Internal Medicine, Chonbuk National University Hospital, Jeonju, South Korea
| | - Seungyeup Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, South Korea
| | - Han Ro
- Department of Internal Medicine, Gil Hospital, Gachon University, Incheon, South Korea
| | - Jaeseok Yang
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Curie Ahn
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Jang-Hee Cho
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea
| | - Sun-Hee Park
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea
| | - Yong-Lim Kim
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea
| | - Chan-Duck Kim
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea
- *Correspondence: Hee-Yeon Jung, ; Chan-Duck Kim,
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12
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Matsumoto-Yamauchi H, Kondo K, Miura K, Tanaka-Mizuno S, Segawa H, Ohno S, Miyagawa N, Zaid M, Okami Y, Okuda N, Nakagawa H, Sakata K, Saitoh S, Okayama A, Yoshita K, Chan Q, Masaki K, Elliott P, Stamler J, Ueshima H. Relationships of Alcohol Consumption with Coronary Risk Factors and Macro- and Micro-Nutrient Intake in Japanese People: The INTERLIPID Study. J Nutr Sci Vitaminol (Tokyo) 2021; 67:28-38. [PMID: 33642462 DOI: 10.3177/jnsv.67.28] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Several studies have reported a J-shaped relationship between alcohol consumption and coronary heart disease (CHD) risk. However, the mechanisms of this relationship remain unclear. This study aimed to evaluate the relationships of alcohol consumption with established CHD risk factors and with macro-/micro-nutrient intake among Japanese people. Participants were 1,090 Japanese men and women aged 40-59 y enrolled in the INTERLIPID study, excluding former drinkers. Based on two 7-d alcohol records, participants were classified as non-drinkers (0 g/wk), light-drinkers (<100 g/wk), moderate-drinkers (100-299 g/wk), or heavy-drinkers (≥300 g/wk). Detailed macro-/micro-nutrient intake was evaluated using four in-depth 24-h dietary recalls and adjusted for total energy intake excluding alcohol. We analyzed the associations of CHD risk factors and nutrient intake with alcohol consumption. Serum high-density lipoprotein cholesterol and blood pressure were higher and low-density lipoprotein cholesterol was lower among those with higher alcohol consumption. J-shaped relationships with alcohol consumption were observed for the proportion of current smokers, number of cigarettes smoked, and prevalence of hypertension; these risk factors were lowest among light-drinkers. Carbohydrate and total fiber intakes were lower and protein and dietary cholesterol intakes were higher among those with higher alcohol consumption. These associations were similar for men and women. Alcohol consumption was related to nutrient intake as well as established CHD risk factors. Non-drinkers were higher on some CHD risk factors than were light-drinkers. These findings may influence the J-shaped relationship between alcohol consumption and CHD risk.
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Affiliation(s)
| | - Keiko Kondo
- Department of Public Health, Shiga University of Medical Science
| | - Katsuyuki Miura
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science.,Department of Public Health, Shiga University of Medical Science
| | | | - Hiroyoshi Segawa
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science
| | - Seiko Ohno
- Department of Bioscience and Genetics, National Cerebral and Cardiovascular Center Research Institute
| | - Naoko Miyagawa
- Department of Public Health, Shiga University of Medical Science.,International Center for Nutrition and Information, National Institutes of Biomedical Innovation, Health and Nutrition
| | - Maryam Zaid
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science.,Department of Epidemiology, School of Public Health, Fudan University
| | - Yukiko Okami
- Department of Public Health, Shiga University of Medical Science
| | - Nagako Okuda
- Department of Health and Nutrition, University of Human Arts and Sciences
| | - Hideaki Nakagawa
- Department of Social and Environmental Medicine, Kanazawa Medical University
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University
| | - Shigeyuki Saitoh
- School of Health Sciences, School of Medicine, Sapporo Medical University
| | | | - Katsushi Yoshita
- Department of Food and Human Health Science, Osaka City University, Graduate School of Human Life Science
| | - Queenie Chan
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London
| | - Kamal Masaki
- Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii and Kuakini Medical Center
| | - Paul Elliott
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London
| | - Jeremiah Stamler
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University
| | - Hirotsugu Ueshima
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science.,Department of Public Health, Shiga University of Medical Science
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13
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Benefits and hazards of alcohol-the J-shaped curve and public health. DRUGS AND ALCOHOL TODAY 2020. [DOI: 10.1108/dat-09-2020-0059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is a review of updated evidence of a J-shaped association between alcohol consumption and the risk of coronary heart disease (CHD) and all-cause mortality in relation to public health issues to create a basis for sensible individual health deliberations.
Design/methodology/approach
A review of the evidence from the first observation of a J-shaped association between a moderate alcohol intake and CHD in 1926 to recent studies of the effect of healthy lifestyles (including moderate alcohol intake) on life expectancy free of cardiovascular disease (CVD), cancer and Type 2 diabetes. An update on the biological plausibility of the J-shaped association with focus on recent findings of the association of alcohol intake and blood lipid levels.
Findings
Plausible J-shaped relations between light to moderate alcohol consumption and the risk of CHD, CVD mortality and all-cause mortality have been found in a large number of robust epidemiological studies. Among the potential mechanisms underlying the proposed protective effects are higher levels of high-density lipoprotein lacking apolipoprotein C3, reduced platelet aggregability, increased level of endothelial cell fibrinolysis, increased insulin sensitivity and decreased inflammation.
Originality/value
The existence of a J-shaped association between alcohol consumption and the risk of CHD and all-cause mortality is based on observational evidence and accordingly challenged by a degree of uncertainty leading some public health circles to state: “there is no safe level of alcohol consumption.” The authors propose that communication on the pros and cons of alcohol intake should emphasize the nadir of a J-shaped curve as a healthy range for the general population while advice regarding the consumption of alcohol should be adjusted to factor in the risks and potential benefits for each individual patient considering age, sex, family history, personal drinking history and specific medical history.
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14
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Liu J. Alcohol consumption combined with dietary low-carbohydrate/high-protein intake increased the left ventricular systolic dysfunction risk and lethal ventricular arrhythmia susceptibility in apolipoprotein E/low-density lipoprotein receptor double-knockout mice. Alcohol 2020; 89:63-74. [PMID: 32702503 DOI: 10.1016/j.alcohol.2020.07.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 05/21/2020] [Accepted: 07/01/2020] [Indexed: 12/12/2022]
Abstract
Alcohol abuse is positively associated with cardiovascular disease. Dietary low-carbohydrate/high-protein (LCHP) intake confers a greater mortality risk. Here, the impact of ethanol consumption in combination with dietary LCHP intake on left ventricular (LV) systolic function and lethal ventricular arrhythmia susceptibility were investigated in apolipoprotein E/low-density lipoprotein receptor double-knockout (AL) mice. The underlying mechanisms, cardiac sympathovagal balance, beta-adrenergic receptor (ADRB) levels, and gap junction channel protein connexin 43 (Cx43) expression, were examined. Male AL mice fed an LCHP diet with or without ethanol were bred for 16 weeks. Age-matched male AL and wild-type mice received standard chow diet and served as controls. The following were used to assess LV systolic function, lethal ventricular arrhythmia susceptibility, cardiac sympathovagal balance, Cx43 expression, and ADRB levels: The results demonstrated that ethanol consumption in combination with dietary LCHP intake worsened LCHP-induced LV systolic dysfunction in AL mice and enhanced their susceptibility in the ventricular arrhythmia-evoked test. There were concomitant increases in LV weight, LF/HF ratio shown by HRV, TH, ADRB1, ADRB2, and Cx43 expressions by LV fluorescence immunohistochemistry, and LV Cx43 messenger ribonucleic acid expression by PCR. In AL mice, alcohol consumption combined with dietary LCHP intake may thus promote a shift in cardiac sympathovagal balance toward sympathetic predominance, the increases in beta-adrenergic receptors (ADRB1 and ADRB2), and then affect the gap junction channel protein Cx43, which in turn could contribute to increased risks of LV systolic dysfunction and susceptibility to lethal ventricular arrhythmia.
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de Vries PS, Brown MR, Bentley AR, Sung YJ, Winkler TW, Ntalla I, Schwander K, Kraja AT, Guo X, Franceschini N, Cheng CY, Sim X, Vojinovic D, Huffman JE, Musani SK, Li C, Feitosa MF, Richard MA, Noordam R, Aschard H, Bartz TM, Bielak LF, Deng X, Dorajoo R, Lohman KK, Manning AK, Rankinen T, Smith AV, Tajuddin SM, Evangelou E, Graff M, Alver M, Boissel M, Chai JF, Chen X, Divers J, Gandin I, Gao C, Goel A, Hagemeijer Y, Harris SE, Hartwig FP, He M, Horimoto ARVR, Hsu FC, Jackson AU, Kasturiratne A, Komulainen P, Kühnel B, Laguzzi F, Lee JH, Luan J, Lyytikäinen LP, Matoba N, Nolte IM, Pietzner M, Riaz M, Said MA, Scott RA, Sofer T, Stančáková A, Takeuchi F, Tayo BO, van der Most PJ, Varga TV, Wang Y, Ware EB, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Amin N, Amini M, Arking DE, Aung T, Ballantyne C, Boerwinkle E, Broeckel U, Campbell A, Canouil M, Charumathi S, Chen YDI, Connell JM, de Faire U, de las Fuentes L, de Mutsert R, de Silva HJ, Ding J, Dominiczak AF, Duan Q, Eaton CB, Eppinga RN, Faul JD, Fisher V, Forrester T, Franco OH, Friedlander Y, Ghanbari M, Giulianini F, et alde Vries PS, Brown MR, Bentley AR, Sung YJ, Winkler TW, Ntalla I, Schwander K, Kraja AT, Guo X, Franceschini N, Cheng CY, Sim X, Vojinovic D, Huffman JE, Musani SK, Li C, Feitosa MF, Richard MA, Noordam R, Aschard H, Bartz TM, Bielak LF, Deng X, Dorajoo R, Lohman KK, Manning AK, Rankinen T, Smith AV, Tajuddin SM, Evangelou E, Graff M, Alver M, Boissel M, Chai JF, Chen X, Divers J, Gandin I, Gao C, Goel A, Hagemeijer Y, Harris SE, Hartwig FP, He M, Horimoto ARVR, Hsu FC, Jackson AU, Kasturiratne A, Komulainen P, Kühnel B, Laguzzi F, Lee JH, Luan J, Lyytikäinen LP, Matoba N, Nolte IM, Pietzner M, Riaz M, Said MA, Scott RA, Sofer T, Stančáková A, Takeuchi F, Tayo BO, van der Most PJ, Varga TV, Wang Y, Ware EB, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Amin N, Amini M, Arking DE, Aung T, Ballantyne C, Boerwinkle E, Broeckel U, Campbell A, Canouil M, Charumathi S, Chen YDI, Connell JM, de Faire U, de las Fuentes L, de Mutsert R, de Silva HJ, Ding J, Dominiczak AF, Duan Q, Eaton CB, Eppinga RN, Faul JD, Fisher V, Forrester T, Franco OH, Friedlander Y, Ghanbari M, Giulianini F, Grabe HJ, Grove ML, Gu CC, Harris TB, Heikkinen S, Heng CK, Hirata M, Hixson JE, Howard BV, Ikram MA, Jacobs DR, Johnson C, Jonas JB, Kammerer CM, Katsuya T, Khor CC, Kilpeläinen TO, Koh WP, Koistinen HA, Kolcic I, Kooperberg C, Krieger JE, Kritchevsky SB, Kubo M, Kuusisto J, Lakka TA, Langefeld CD, Langenberg C, Launer LJ, Lehne B, Lemaitre RN, Li Y, Liang J, Liu J, Liu K, Loh M, Louie T, Mägi R, Manichaikul AW, McKenzie CA, Meitinger T, Metspalu A, Milaneschi Y, Milani L, Mohlke KL, Mosley TH, Mukamal KJ, Nalls MA, Nauck M, Nelson CP, Sotoodehnia N, O'Connell JR, Palmer ND, Pazoki R, Pedersen NL, Peters A, Peyser PA, Polasek O, Poulter N, Raffel LJ, Raitakari OT, Reiner AP, Rice TK, Rich SS, Robino A, Robinson JG, Rose LM, Rudan I, Schmidt CO, Schreiner PJ, Scott WR, Sever P, Shi Y, Sidney S, Sims M, Smith BH, Smith JA, Snieder H, Starr JM, Strauch K, Tan N, Taylor KD, Teo YY, Tham YC, Uitterlinden AG, van Heemst D, Vuckovic D, Waldenberger M, Wang L, Wang Y, Wang Z, Wei WB, Williams C, Wilson G, Wojczynski MK, Yao J, Yu B, Yu C, Yuan JM, Zhao W, Zonderman AB, Becker DM, Boehnke M, Bowden DW, Chambers JC, Deary IJ, Esko T, Farrall M, Franks PW, Freedman BI, Froguel P, Gasparini P, Gieger C, Horta BL, Kamatani Y, Kato N, Kooner JS, Laakso M, Leander K, Lehtimäki T, Magnusson PKE, Penninx B, Pereira AC, Rauramaa R, Samani NJ, Scott J, Shu XO, van der Harst P, Wagenknecht LE, Wang YX, Wareham NJ, Watkins H, Weir DR, Wickremasinghe AR, Zheng W, Elliott P, North KE, Bouchard C, Evans MK, Gudnason V, Liu CT, Liu Y, Psaty BM, Ridker PM, van Dam RM, Kardia SLR, Zhu X, Rotimi CN, Mook-Kanamori DO, Fornage M, Kelly TN, Fox ER, Hayward C, van Duijn CM, Tai ES, Wong TY, Liu J, Rotter JI, Gauderman WJ, Province MA, Munroe PB, Rice K, Chasman DI, Cupples LA, Rao DC, Morrison AC. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. Am J Epidemiol 2019; 188:1033-1054. [PMID: 30698716 PMCID: PMC6545280 DOI: 10.1093/aje/kwz005] [Show More Authors] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 01/05/2019] [Accepted: 01/08/2019] [Indexed: 12/27/2022] Open
Abstract
A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups. Analyses covered the period July 2014-November 2017. Genetic main effects and interaction effects were jointly assessed by means of a 2-degrees-of-freedom (df) test, and a 1-df test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in stage 1 and were evaluated in stage 2, followed by combined analyses of stage 1 and stage 2. In the combined analysis of stages 1 and 2, a total of 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2-df tests, of which 18 were novel. No genome-wide-significant associations were found testing the interaction effect alone. The novel loci included several genes (proprotein convertase subtilisin/kexin type 5 (PCSK5), vascular endothelial growth factor B (VEGFB), and apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1) complementation factor (A1CF)) that have a putative role in lipid metabolism on the basis of existing evidence from cellular and experimental models.
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Affiliation(s)
- Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
| | - Yun J Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Ioanna Ntalla
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Karen Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Aldi T Kraja
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
| | - Xiuqing Guo
- Genomic Outcomes, Pediatrics, Institute for Translational Genomics and Population Sciences, LA BioMed at Harbor-UCLA Medical Center, Torrance, California
| | - Nora Franceschini
- Epidemiology, University of North Carolina Gilling School of Global Public Health, Chapel Hill, North Carolina
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Centre for Quantitative Medicine, Academic Medicine Research Institute, Ophthalmology & Visual Sciences Academic Clinical Program
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jennifer E Huffman
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Solomon K Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Changwei Li
- Epidemiology and Biostatistics, University of Georgia at Athens College of Public Health, Athens, Georgia
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
| | - Melissa A Richard
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Raymond Noordam
- Internal Medicine, Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Hugues Aschard
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
- Centre de Bioinformatique, Biostatistique et Biologie Intégrative
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, Washington
| | - Lawrence F Bielak
- Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Xuan Deng
- Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Kurt K Lohman
- Public Health Sciences, Biostatistical Sciences, Wake Forest University Health Sciences, Winston-Salem, North Carolina
| | - Alisa K Manning
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Salman M Tajuddin
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Mariaelisa Graff
- Epidemiology, University of North Carolina Gilling School of Global Public Health, Chapel Hill, North Carolina
| | - Maris Alver
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | | | - Jin Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Xu Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Jasmin Divers
- Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Ilaria Gandin
- Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Chuan Gao
- Molecular Genetics and Genomics Program, Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Anuj Goel
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, United Kingdom
| | - Yanick Hagemeijer
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, United Kingdom
| | - Fernando P Hartwig
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | | | - Fang-Chi Hsu
- Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan
| | | | - Pirjo Komulainen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Federica Laguzzi
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Joseph H Lee
- Sergievsky Center and Taub Institute, Columbia University Medical Center, New York, New York
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center – Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Nana Matoba
- Laboratory for Statistical Analysis, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Maik Pietzner
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK
| | - Muhammad Riaz
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - M Abdullah Said
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Tamar Sofer
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Bamidele O Tayo
- Department of Public Health Sciences, Loyola University Chicago, Maywood, Illinois
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Tibor V Varga
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Skåne University Hospital, Malmö, Sweden
| | - Yajuan Wang
- Department of Population and Quantitative Health and Sciences, Case Western Reserve University, Cleveland, Ohio
| | - Erin B Ware
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital, Middlesex, United Kingdom
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Saima Afaq
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marzyeh Amini
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program
| | - Christie Ballantyne
- Section of Cardiovascular Research, Baylor College of Medicine, Houston, Texas
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas School of Public Health, Houston, Texas
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Ulrich Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Archie Campbell
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Sabanayagam Charumathi
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Centre for Quantitative Medicine, Academic Medicine Research Institute, Ophthalmology & Visual Sciences Academic Clinical Program
| | - Yii-Der Ida Chen
- Genomic Outcomes, Pediatrics, Institute for Translational Genomics and Population Sciences, LA BioMed at Harbor-UCLA Medical Center, Torrance, California
| | - John M Connell
- Ninewells Hospital & Medical School, University of Dundee, Dundee, Scotland, United Kingdom
| | - Ulf de Faire
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lisa de las Fuentes
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, Missouri
| | - Renée de Mutsert
- Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - H Janaka de Silva
- Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - Jingzhong Ding
- Center on Diabetes, Obesity, and Metabolism, Gerontology and Geriatric Medicine, Wake Forest University Health Sciences, Winston-Salem, North Carolina
| | - Anna F Dominiczak
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland, United Kingdom
| | - Qing Duan
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina
| | - Charles B Eaton
- Department of Family Medicine and Epidemiology, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Ruben N Eppinga
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Virginia Fisher
- Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Terrence Forrester
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona, Jamaica
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Institute of Social and Preventive Medicine
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Hans J Grabe
- Department Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Megan L Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - C Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - Sami Heikkinen
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat – National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Makoto Hirata
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, The University of Tokyo, Minato-ku, Japan
| | - James E Hixson
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas School of Public Health, Houston, Texas
| | - Barbara V Howard
- MedStar Health Research Institute, Hyattsville, Maryland
- Center for Clinical and Translational Sciences and Department of Medicine, Georgetown-Howard Universities, Washington, District of Columbia
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - David R Jacobs
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Craig Johnson
- Collaborative Health Studies Coordinating Center, University of Washington, Seattle, Washington
| | - Jost Bruno Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
- Beijing Institute of Ophthalmology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Candace M Kammerer
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Tomohiro Katsuya
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
- Department of Biochemistry, National University of Singapore, Singapore, Singapore
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, New York
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Heikki A Koistinen
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
- Department of Medicine and Abdominal Center, Endocrinology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | | | - Charles Kooperberg
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, Washington
| | - Jose E Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute
| | - Steve B Kritchevsky
- Sticht Center for Health Aging and Alzheimer's Prevention, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Michiaki Kubo
- Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Timo A Lakka
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Carl D Langefeld
- Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Medicine, University of Washington, Seattle, Washington
| | - Yize Li
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Jingjing Liang
- Department of Population and Quantitative Health and Sciences, Case Western Reserve University, Cleveland, Ohio
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kiang Liu
- Epidemiology, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Marie Loh
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- Translational Laboratory in Genetic Medicine, Agency for Science, Technology and Research, Singapore
| | - Tin Louie
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Ani W Manichaikul
- Biostatistics Section, Center for Public Health Genomics, University of Virginia, School of Medicine, West Complex, Charlottesville, Virginia
| | - Colin A McKenzie
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona, Jamaica
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
| | | | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina
| | - Thomas H Mosley
- Geriatrics, Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Kenneth J Mukamal
- General Medicine & Primary Care, Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Mike A Nalls
- Data Tecnica International, Glen Echo, Maryland
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, Maryland
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, Washington
| | - Jeff R O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | | | - Raha Pazoki
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- DZHK
| | - Patricia A Peyser
- Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Ozren Polasek
- Department of Public Health, Department of Medicine, University of Split, Split, Croatia
- Psychiatric Hospital “Sveti Ivan”, Zagreb, Croatia
- Gen-info Ltd, Zagreb, Croatia
| | - Neil Poulter
- School of Public Health, Imperial College London, London, United Kingdom
| | - Leslie J Raffel
- Division of Genetic and Genomic Medicine, Department of Pediatrics, University of California, Irvine, California
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Alex P Reiner
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, Washington
| | - Treva K Rice
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, School of Medicine, West Complex, Charlottesville, Virginia
| | - Antonietta Robino
- Institute for Maternal and Child Health – IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Jennifer G Robinson
- Department of Epidemiology and Medicine, University of Iowa, Iowa City, Iowa
| | - Lynda M Rose
- Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Carsten O Schmidt
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Pamela J Schreiner
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - William R Scott
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Peter Sever
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Yuan Shi
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Stephen Sidney
- Division of Research, Kaiser Permanente of Northern California, Oakland, California
| | - Mario Sims
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
| | - Jennifer A Smith
- Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
- Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh, United Kingdom
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU, Munich, Germany
| | - Nicholas Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kent D Taylor
- Genomic Outcomes, Pediatrics, Institute for Translational Genomics and Population Sciences, LA BioMed at Harbor-UCLA Medical Center, Torrance, California
| | - Yik Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
| | - Yih Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Diana van Heemst
- Internal Medicine, Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Dragana Vuckovic
- Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
| | - Yujie Wang
- Epidemiology, University of North Carolina Gilling School of Global Public Health, Chapel Hill, North Carolina
| | - Zhe Wang
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Wen Bin Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Christine Williams
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
| | - Gregory Wilson
- Jackson Heart Study, School of Public Health, Jackson State University, Jackson, Mississippi
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
| | - Jie Yao
- Genomic Outcomes, Pediatrics, Institute for Translational Genomics and Population Sciences, LA BioMed at Harbor-UCLA Medical Center, Torrance, California
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Caizheng Yu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jian-Min Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Wei Zhao
- Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Alan B Zonderman
- Behavioral Epidemiology Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Diane M Becker
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan
| | - Donald W Bowden
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital, Middlesex, United Kingdom
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Imperial College Healthcare NHS Trust, London, United Kingdom
- MRC-PHE Centre for Environment and Health, Imperial College London, London, United Kingdom
- NIHR Imperial College Biomedical Research Centre, Imperial College London, London, United Kingdom
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
- Psychology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Boston, Massachusetts
| | - Martin Farrall
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, United Kingdom
| | - Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Skåne University Hospital, Malmö, Sweden
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Public Health & Clinical Medicine, Umeå University, Umeå, Västerbotten, Sweden
- OCDEM, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Barry I Freedman
- Nephrology, Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Philippe Froguel
- CNRS UMR 8199, European Genomic Institute for Diabetes
- Department of Genomics of Common Disease, Imperial College London, London, United Kingdom
| | - Paolo Gasparini
- Department of Medical Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health – IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research
| | - Bernardo L Horta
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, Middlesex, United Kingdom
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
- NIHR Imperial College Biomedical Research Centre, Imperial College London, London, United Kingdom
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Karin Leander
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center – Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | | | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Brenda Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | | | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - James Scott
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Hugh Watkins
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, United Kingdom
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | | | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- MRC-PHE Centre for Environment and Health, Imperial College London, London, United Kingdom
- NIHR Imperial College Biomedical Research Centre, Imperial College London, London, United Kingdom
- Health Data Research UK
- UK Dementia Research Institute
| | - Kari E North
- Epidemiology, University of North Carolina Gilling School of Global Public Health, Chapel Hill, North Carolina
- Carolina Center of Genome Sciences, University of North Carolina, Chapel Hill, North Carolina
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Michele K Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Ching-Ti Liu
- Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Yongmei Liu
- Public Health Sciences, Epidemiology and Prevention, Wake Forest University Health Sciences, Winston-Salem, North Carolina
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Epidemiology, Medicine and Health Services, University of Washington, Seattle, Washington
- Kaiser Permanente Washington, Health Research Institute, Seattle, Washington
| | - Paul M Ridker
- Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Sharon L R Kardia
- Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health and Sciences, Case Western Reserve University, Cleveland, Ohio
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
| | - Dennis O Mook-Kanamori
- Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands
- Public Health and Primary Care, Leiden University Medical Center, Leiden, Leiden
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Tanika N Kelly
- Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Ervin R Fox
- Cardiology, Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program
| | - Jingmin Liu
- WHI CCC, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jerome I Rotter
- Genomic Outcomes, Pediatrics, Institute for Translational Genomics and Population Sciences, LA BioMed at Harbor-UCLA Medical Center, Torrance, California
| | - W James Gauderman
- Biostatistics, Preventive Medicine, University of Southern California, Los Angeles, California
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
| | - Patricia B Munroe
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
- NIHR Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London, United Kingdom
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Daniel I Chasman
- Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - L Adrienne Cupples
- Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- NHLBI Framingham Heart Study, Framingham, Massachusetts
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
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16
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Cornelis MC. Genetic determinants of beverage consumption: Implications for nutrition and health. ADVANCES IN FOOD AND NUTRITION RESEARCH 2019; 89:1-52. [PMID: 31351524 PMCID: PMC7047661 DOI: 10.1016/bs.afnr.2019.03.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Beverages make important contributions to nutritional intake and their role in health has received much attention. This review focuses on the genetic determinants of common beverage consumption and how research in this field is contributing insight to what and how much we consume and why this genetic knowledge matters from a research and public health perspective. The earliest efforts in gene-beverage behavior mapping involved genetic linkage and candidate gene analysis but these approaches have been largely replaced by genome-wide association studies (GWAS). GWAS have identified biologically plausible loci underlying alcohol and coffee drinking behavior. No GWAS has identified variants specifically associated with consumption of tea, juice, soda, wine, beer, milk or any other common beverage. Thus far, GWAS highlight an important behavior-reward component (as opposed to taste) to beverage consumption which may serve as a potential barrier to dietary interventions. Loci identified have been used in Mendelian randomization and gene×beverage interaction analysis of disease but results have been mixed. This research is necessary as it informs the clinical relevance of SNP-beverage associations and thus genotype-based personalized nutrition, which is gaining interest in the commercial and public health sectors.
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Affiliation(s)
- Marilyn C Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
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17
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Yang J, Ye J, Guo Q, Sun Y, Zheng Y, Zhang Y. The Joint Effects of Smoking and Alcohol Drinking on Lipid-Related Indices among Chinese Males-Comparing Exercise and Non-Exercise Groups. Subst Use Misuse 2018; 53:2431-2438. [PMID: 29889587 DOI: 10.1080/10826084.2018.1482347] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND Smoking and drinking are two predisposing factors for dyslipidemia. Exercise has been proposed as a strategy to improve the blood lipids. However, it remains unclear how smoking and drinking jointly affect blood lipids and whether exercise influences their effects. OBJECTIVES To evaluate the effects of smoking and drinking, either alone or in combination, on lipid-related indices in both exercise and non-exercise groups among Chinese men. METHODS This study was conducted in a health examination center between 2015 and 2016. A sample of 6,179 male subjects was divided into exercise and non-exercise groups. Logistic and linear regression analyses were used to calculate the odds ratios for abnormal lipid-related indices and correlation coefficients between smoking/drinking and lipid-related indices. RESULTS In the study population, the percentage of stable smokers and stable drinkers was 46.3% (2,860/6,179) and 77.6% (4,795/6,179), respectively. An increased smoking amount was significantly associated with an elevated triglyceride (TG) level and a decreased high-density lipoprotein cholesterol (HDL-C) level. Heavier smokers had higher odds ratios for high TG and low HDL-C. Heavier drinkers had higher levels of total cholesterol (TC), TG, and HDL-C and higher odds ratios for high TC and high TG but lower odds ratio for low HDL-C. The exercise group had lower TG levels and higher HDL-C levels than did the non-exercise group. CONCLUSIONS Both heavier smoking and heavier drinking were associated with poorer TG levels, and the results suggest that drinking may be helpful for HDL-C. Exercise may relieve the negative effects of smoking and drinking.
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Affiliation(s)
- Jian Yang
- a Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines , Chinese Academy of Sciences , Hefei , Anhui , P. R. China.,b Department of Automation , University of Science and Technology of China , Hefei , Anhui , P. R. China
| | - Jun Ye
- a Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines , Chinese Academy of Sciences , Hefei , Anhui , P. R. China
| | - Qiao Guo
- b Department of Automation , University of Science and Technology of China , Hefei , Anhui , P. R. China
| | - Yining Sun
- a Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines , Chinese Academy of Sciences , Hefei , Anhui , P. R. China
| | - Yansong Zheng
- c Institute of Health Management , PLA General Hospital , Beijing , P. R.China
| | - Yongliang Zhang
- a Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines , Chinese Academy of Sciences , Hefei , Anhui , P. R. China.,d Jiangsu Research Institute of Sports Science , Nanjing , Jiangsu , P. R.China.,e Beijing Sport University , Beijing , P. R.China
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18
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Zaid M, Miura K, Okayama A, Nakagawa H, Sakata K, Saitoh S, Okuda N, Yoshita K, Choudhury SR, Rodriguez B, Masaki K, Willcox B, Miyagawa N, Okamura T, Chan Q, Elliott P, Stamler J, Ueshima H. Associations of High-Density Lipoprotein Particle and High-Density Lipoprotein Cholesterol With Alcohol Intake, Smoking, and Body Mass Index - The INTERLIPID Study. Circ J 2018; 82:2557-2565. [PMID: 30135319 PMCID: PMC6688485 DOI: 10.1253/circj.cj-18-0341] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Recently, high-density lipoprotein particles (HDL-P) have been found to be more strongly inversely associated with coronary artery disease (CAD) risk than their counterpart, HDL cholesterol (HDL-C). Given that lifestyle is among the first targets in CAD prevention, we compared the associations of HDL-P and HDL-C with selected lifestyle factors. METHODS AND RESULTS We examined 789 Japanese participants of the INTERLIPID Study: men (n=386) and women (n=403) aged 40-59 years in 1996-1998. Participants treated for dyslipidemias were excluded. Lifestyle factors included alcohol intake, smoking amount, and body mass index (BMI). Multivariable linear regression was used for cross-sectional analyses of these factors with HDL-P, HDL-C, HDL-P size subclasses (small, medium and large) and mean HDL-P size. In men, higher alcohol intake was associated with higher HDL-P and higher HDL-C. The associations of alcohol, however, were strongest with HDL-P. A higher smoking amount tended to be associated with lower HDL-P and HDL-C. In contrast, BMI was not associated with HDL-P, but was strongly inversely associated with HDL-C. While alcohol intake favored larger mean HDL-P size, smoking and BMI favored a lipid profile with smaller HDL-P subclasses and overall smaller mean HDL-P size. Similar, but generally weaker results were observed in women. CONCLUSIONS Although both HDL-P and HDL-C are parameters of HDL, they have different associations with alcohol, smoking and BMI.
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Affiliation(s)
- Maryam Zaid
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science
| | - Katsuyuki Miura
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science
- Department of Public Health, Shiga University of Medical Science
| | | | - Hideaki Nakagawa
- Department of Epidemiology and Public Health, Kanazawa Medical University
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University
| | - Shigeyuki Saitoh
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine
| | - Nagako Okuda
- Department of Health and Nutrition, University of Human Arts and Sciences
| | | | | | - Beatriz Rodriguez
- Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii and Kuakini Medical Center
| | - Kamal Masaki
- Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii and Kuakini Medical Center
| | - Bradley Willcox
- Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii and Kuakini Medical Center
| | - Naoko Miyagawa
- Department of Public Health, Shiga University of Medical Science
| | | | - Queenie Chan
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London
| | - Paul Elliott
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London
| | - Jeremiah Stamler
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University
| | - Hirotsugu Ueshima
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science
- Department of Public Health, Shiga University of Medical Science
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19
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O'Neill D, Britton A, Hannah MK, Goldberg M, Kuh D, Khaw KT, Bell S. Association of longitudinal alcohol consumption trajectories with coronary heart disease: a meta-analysis of six cohort studies using individual participant data. BMC Med 2018; 16:124. [PMID: 30131059 PMCID: PMC6103865 DOI: 10.1186/s12916-018-1123-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 07/10/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Studies have shown that alcohol intake trajectories differ in their associations with biomarkers of cardiovascular functioning, but it remains unclear if they also differ in their relationship to actual coronary heart disease (CHD) incidence. Using multiple longitudinal cohort studies, we evaluated the association between long-term alcohol consumption trajectories and CHD. METHODS Data were drawn from six cohorts (five British and one French). The combined analytic sample comprised 35,132 individuals (62.1% male; individual cohorts ranging from 869 to 14,247 participants) of whom 4.9% experienced an incident (fatal or non-fatal) CHD event. Alcohol intake across three assessment periods of each cohort was used to determine participants' intake trajectories over approximately 10 years. Time to onset for (i) incident CHD and (ii) fatal CHD was established using surveys and linked medical record data. A meta-analysis of individual participant data was employed to estimate the intake trajectories' association with CHD onset, adjusting for demographic and clinical characteristics. RESULTS Compared to consistently moderate drinkers (males: 1-168 g ethanol/week; females: 1-112 g ethanol/week), inconsistently moderate drinkers had a significantly greater risk of incident CHD [hazard ratio (HR) = 1.18, 95% confidence interval (CI) = 1.02-1.37]. An elevated risk of incident CHD was also found for former drinkers (HR = 1.31, 95% CI = 1.13-1.52) and consistent non-drinkers (HR = 1.47, 95% CI = 1.21-1.78), although, after sex stratification, the latter effect was only evident for females. When examining fatal CHD outcomes alone, only former drinkers had a significantly elevated risk, though hazard ratios for consistent non-drinkers were near identical. No evidence of elevated CHD risk was found for consistently heavy drinkers, and a weak association with fatal CHD for inconsistently heavy drinkers was attenuated following adjustment for confounding factors. CONCLUSIONS Using prospectively recorded alcohol data, this study has shown how instability in drinking behaviours over time is associated with risk of CHD. As well as individuals who abstain from drinking (long term or more recently), those who are inconsistently moderate in their alcohol intake have a higher risk of experiencing CHD. This finding suggests that policies and interventions specifically encouraging consistency in adherence to lower-risk drinking guidelines could have public health benefits in reducing the population burden of CHD. The absence of an effect amongst heavy drinkers should be interpreted with caution given the known wider health risks associated with such intake. TRIAL REGISTRATION ClinicalTrials.gov, NCT03133689 .
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Affiliation(s)
- Dara O'Neill
- CLOSER, Department of Social Science, Institute of Education, University College London, London, UK.
| | - Annie Britton
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Mary K Hannah
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Marcel Goldberg
- Inserm UMS 011, Villejuif, France and Paris Descartes University, Villejuif, France
| | - Diana Kuh
- Research Department of Epidemiology and Public Health, University College London, London, UK
- UK MRC Unit for Lifelong Health & Ageing at UCL, London, UK
| | - Kay Tee Khaw
- Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Steven Bell
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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20
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Difference in sensitivities of blood HDL cholesterol and LDL cholesterol levels to alcohol in middle-aged Japanese men. Alcohol 2018; 67:45-50. [PMID: 29425958 DOI: 10.1016/j.alcohol.2017.08.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 08/18/2017] [Accepted: 08/18/2017] [Indexed: 11/20/2022]
Abstract
Blood HDL cholesterol and LDL cholesterol levels are known to be higher and lower, respectively, in drinkers than in nondrinkers, and the beneficial effects of alcohol on cholesterol metabolism are thought to mainly explain the lower risk for ischemic heart disease in light-to-moderate drinkers than in nondrinkers. However, it remains unknown whether sensitivities of HDL and LDL cholesterol levels to alcohol are different or not. The subjects of this study were 21,572 middle-aged Japanese men, and they were divided into three tertile groups for blood HDL cholesterol levels. The relationships between habitual alcohol intake and LDL cholesterol levels were investigated in each tertile for HDL cholesterol. In all of the tertile groups for HDL cholesterol, mean LDL cholesterol levels were significantly lower in the drinking subgroups than in the nondrinking subgroup and tended to be lower with an increase of alcohol intake. In all of the tertile groups for HDL cholesterol, odds ratios for high LDL cholesterol of each drinking subgroup vs. the nondrinking subgroup were significantly lower than the reference level of 1.00, and also tended to be lower with an increase of alcohol intake. The odds ratios of each drinking subgroup tended to be lower in the 1st tertile group for HDL cholesterol than in the 3rd tertile group. Drinkers in the 1st tertile for HDL cholesterol are thought to have relatively low sensitivity of HDL cholesterol to alcohol, but clearly showed lower LDL cholesterol levels than those found in nondrinkers. Therefore, the sensitivity of LDL cholesterol level to alcohol is different from the sensitivity of HDL cholesterol level to alcohol.
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Tabara Y, Matsumoto T, Murase K, Nagashima S, Hirai T, Kosugi S, Nakayama T, Wakamura T, Chin K, Matsuda F. Seasonal variation in nocturnal home blood pressure fall: the Nagahama study. Hypertens Res 2018; 41:198-208. [DOI: 10.1038/s41440-017-0003-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Revised: 07/31/2017] [Accepted: 08/02/2017] [Indexed: 11/09/2022]
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Exploring the utility of alcohol flushing as an instrumental variable for alcohol intake in Koreans. Sci Rep 2018; 8:458. [PMID: 29323248 PMCID: PMC5765011 DOI: 10.1038/s41598-017-18856-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 12/15/2017] [Indexed: 01/13/2023] Open
Abstract
Previous studies have indicated an association of higher alcohol intake with cardiovascular disease and related traits, but causation has not been definitively established. In this study, the causal effect of alcohol intake on hypertension in 2,011 men and women from the Ansan-Ansung cohort was estimated using an instrumental variable (IV) approach, with both a phenotypic and genotypic instrument for alcohol intake: alcohol flushing and the rs671 genotype (in the alcohol dehydrogenase 2 [ALDH2] gene), respectively. Both alcohol flushing and the rs671 genotype were associated with alcohol intake (difference in alcohol intake with alcohol flushers vs. non-flushers: −9.07 g/day; 95% confidence interval [CI]: −11.12, −7.02; P-value: 8.3 × 10−18 and with the rs671 GA + AA vs. GG genotype: −7.94 g/day; 95% CI: −10.20, −5.69; P-value: 6.1 × 10−12). An increase in alcohol intake, as predicted by both the absence of alcohol flushing and the presence of the rs671 GG genotype in the IV analyses, was associated with an increase in blood pressure in men from this Korean population. In conclusion, this study supports a causal effect of alcohol intake on hypertension and indicated that alcohol flushing may be a valid proxy for the ALDH2 rs671 polymorphism, which influences alcohol intake in this Korean population.
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Shin MJ, Cho Y, Davey Smith G. Alcohol Consumption, Aldehyde Dehydrogenase 2 Gene Polymorphisms, and Cardiovascular Health in Korea. Yonsei Med J 2017; 58:689-696. [PMID: 28540979 PMCID: PMC5447097 DOI: 10.3349/ymj.2017.58.4.689] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 04/27/2017] [Accepted: 05/02/2017] [Indexed: 12/11/2022] Open
Abstract
Alcohol consumption is a serious health issue in Korea in terms of the amount consumed and the behavior related to its consumption. Aldehyde dehydrogenase 2 (ALDH2) is a key enzyme in alcohol metabolism that degrades acetaldehyde to nontoxic acetic acid. The enzyme is coded by the ALDH2 gene, which is commonly polymorphic in East Asian populations. A point mutation in the ALDH2 gene (the rs671 allele) yields an inactive form of ALDH2 that causes acetaldehyde accumulation in the body after alcohol consumption, thereby inhibiting normal alcohol metabolism. Individuals who are homozygous for polymorphism in ALDH2 tend to refrain from drinking alcohol, decreasing their chances of developing alcoholism and exposure to the associated risks. Mendelian randomization (MR) studies have demonstrated that alcohol consumption predicted by ALDH2 genotype is causally related to cardiovascular risks. Moreover, recent MR studies suggest that the ALDH2 variant has mechanistic effects on some disease outcomes or mortality through increased blood levels of acetaldehyde, showing differences therein between heterozygotes (ALDH2*2*2) and homozygotes (ALDH2*1*2) in those who consume alcohol. Accordingly, consideration of ALDH2 genotype in alcohol prevention programs is warranted. In conclusion, strategies that incorporate genetic information and provide an evidential basis from which to help people make informed decisions on alcohol consumption are urgently required.
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Affiliation(s)
- Min Jeong Shin
- Department of Public Health Sciences, BK21PLUS Program in Embodiment: Health-Society Interaction, Graduate School, Korea University, Seoul, Korea.
| | - Yoonsu Cho
- Department of Public Health Sciences, BK21PLUS Program in Embodiment: Health-Society Interaction, Graduate School, Korea University, Seoul, Korea
- MRC Integrative Epidemiology Unit, School of Social & Community Medicine, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, School of Social & Community Medicine, University of Bristol, Bristol, UK
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Holmes MV, Ala-Korpela M, Smith GD. Mendelian randomization in cardiometabolic disease: challenges in evaluating causality. Nat Rev Cardiol 2017; 14:577-590. [PMID: 28569269 DOI: 10.1038/nrcardio.2017.78] [Citation(s) in RCA: 465] [Impact Index Per Article: 58.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Mendelian randomization (MR) is a burgeoning field that involves the use of genetic variants to assess causal relationships between exposures and outcomes. MR studies can be straightforward; for example, genetic variants within or near the encoding locus that is associated with protein concentrations can help to assess their causal role in disease. However, a more complex relationship between the genetic variants and an exposure can make findings from MR more difficult to interpret. In this Review, we describe some of these challenges in interpreting MR analyses, including those from studies using genetic variants to assess causality of multiple traits (such as branched-chain amino acids and risk of diabetes mellitus); studies describing pleiotropic variants (for example, C-reactive protein and its contribution to coronary heart disease); and those investigating variants that disrupt normal function of an exposure (for example, HDL cholesterol or IL-6 and coronary heart disease). Furthermore, MR studies on variants that encode enzymes responsible for the metabolism of an exposure (such as alcohol) are discussed, in addition to those assessing the effects of variants on time-dependent exposures (extracellular superoxide dismutase), cumulative exposures (LDL cholesterol), and overlapping exposures (triglycerides and non-HDL cholesterol). We elaborate on the molecular features of each relationship, and provide explanations for the likely causal associations. In doing so, we hope to contribute towards more reliable evaluations of MR findings.
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Affiliation(s)
- Michael V Holmes
- Medical Research Council Population Health Research Unit, University of Oxford, Roosevelt Drive, Oxford OX3 7LF, UK.,Clinical Trial Service Unit &Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Big Data Institute Building, Old Road Campus, Roosevelt Drive, Oxford OX3 7BN, UK.,National Institute for Health Research, Oxford Biomedical Research Centre, Oxford University Hospital, Old Road, Oxford OX3 7LE, UK.,Medical Research Council Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Mika Ala-Korpela
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, University of Oulu, Aapistie 5A, 90014, Oulu, Finland.,School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
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Tabara Y, Arai H, Hirao Y, Takahashi Y, Setoh K, Kawaguchi T, Kosugi S, Ito Y, Nakayama T, Matsuda F. Different inverse association of large high-density lipoprotein subclasses with exacerbation of insulin resistance and incidence of type 2 diabetes: The Nagahama study. Diabetes Res Clin Pract 2017; 127:123-131. [PMID: 28365559 DOI: 10.1016/j.diabres.2017.03.018] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 03/16/2017] [Indexed: 01/01/2023]
Abstract
AIMS In addition to its antiatherogenic action, high-density lipoprotein (HDL) may also have an antidiabetes function. Although the biological actions of small HDL (HDL3) and large HDL (HDL2) subclasses may be different, evidence in support of that hypothesis is lacking. The aim of this study was to clarify the difference in prognostic significance of HDL subclasses for exacerbation of insulin resistance and incidence of type 2 diabetes in the general population. METHODS Study participants included 8365 community residents 52±13years of age not taking lipid lowering drugs. Serum HDL cholesterol subclasses and low-density lipoprotein subclasses, were measured by a homogeneous assay. Insulin resistance was assessed by homeostasis model assessment of insulin resistance (HOMA-IR). RESULTS Cross-sectional analysis adjusted for possible covariates found that HDL2 cholesterol (HDL2-C) levels were inversely associated with HOMA-IR (β=-0.169, p<0.001), whereas HDL3-C had the opposite association (β=0.054, p<0.001). Similar results were found in an analysis for type 2 diabetes (HDL2-C, odds ratio=0.96, p=0.001; HDL3-C, odds ratio=1.04, p=0.181). In a longitudinal analysis with 5.0years of follow-up, HDL2-C was inversely associated with exacerbation of insulin resistance (β=-0.163, p<0.001); HDL3-C had the opposite association (β=0.026, p=0.037). During follow-up, 205 individuals were newly diagnosed with diabetes, and HDL2-C level was associated with an inverse risk of type 2 diabetes incidence (odds ratio=0.98, p=0.006). CONCLUSIONS HDL may have an antidiabetic function; the prognostic value of HDL2-C for diabetes and insulin resistance might be better than that of HDL3-C.
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Affiliation(s)
- Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Japan
| | - Yuhko Hirao
- Research and Development Center, Denka Seiken Co., Ltd., Tokyo, Japan
| | - Yoshimitsu Takahashi
- Department of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan
| | - Kazuya Setoh
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Shinji Kosugi
- Department of Medical Ethics and Medical Genetics, Kyoto University School of Public Health, Kyoto, Japan
| | - Yasuki Ito
- Research and Development Center, Denka Seiken Co., Ltd., Tokyo, Japan
| | - Takeo Nakayama
- Department of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
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Tabara Y, Arai H, Hirao Y, Takahashi Y, Setoh K, Kawaguchi T, Kosugi S, Ito Y, Nakayama T, Matsuda F. The causal effects of alcohol on lipoprotein subfraction and triglyceride levels using a Mendelian randomization analysis: The Nagahama study. Atherosclerosis 2016; 257:22-28. [PMID: 28038378 DOI: 10.1016/j.atherosclerosis.2016.12.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 12/02/2016] [Accepted: 12/08/2016] [Indexed: 11/25/2022]
Abstract
BACKGROUND Light-to-moderate alcohol consumption may increase circulating high-density lipoprotein cholesterol (HDL-C) levels and decrease low-density lipoprotein cholesterol (LDL-C) levels. However, the effect of alcohol on biologically important lipoprotein subfractions remains largely unknown. Here we aimed to clarify the effects of alcohol on lipoprotein subfractions using a Mendelian randomization analysis. METHODS The study subjects consisted of 8364 general Japanese individuals. The rs671 polymorphism in aldehyde dehydrogenase 2 gene, a rate-controlling enzyme of alcohol metabolism, was used as an instrumental variable. Lipoprotein subfractions were measured by a homogeneous assay. RESULTS The biologically active *1 allele of the ALDH2 genotype was strongly associated with alcohol consumption in men (p < 0.001). In a regression analysis adjusted for possible covariates, the *1 allele was positively associated with HDL-C even in a sub-analysis for HDL subfractions (HDL2-C: β = 0.082, p < 0.001; HDL3-C: β = 0.195, p < 0.001). In contrast, the *1 allele was inversely associated with total LDL-C levels (β = -0.049, p = 0.008), while its association with large-buoyant LDL-C (β = -0.124, p < 0.001) and small-dense LDL-C (β = 0.069, p < 0.001) was opposite. Therefore, the ratio of small-dense LDL to large-buoyant LDL exhibited a linear increase with the number of *1 alleles carried (β = 0.127, p < 0.001). Furthermore, the *1 allele was inversely associated with triglyceride levels in an analysis adjusted for LDL subfractions (β = -0.097, p < 0.001), but not for the total LDL (β = 0.014, p = 0.410). CONCLUSIONS Alcohol may increase HDL-C levels irrespective of the particle size. Moreover, alcohol may decrease the total LDL-C, although the proportion of atherogenic small-dense LDL-C increased partially due to a potential inter-relationship with decreased triglyceride levels.
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Affiliation(s)
- Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Japan
| | - Yuhko Hirao
- Research and Development Center, Denka Seiken Co., Ltd., Tokyo, Japan
| | - Yoshimitsu Takahashi
- Department of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan
| | - Kazuya Setoh
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Shinji Kosugi
- Department of Medical Ethics and Medical Genetics, Kyoto University School of Public Health, Kyoto, Japan
| | - Yasuki Ito
- Research and Development Center, Denka Seiken Co., Ltd., Tokyo, Japan
| | - Takeo Nakayama
- Department of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
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Schernthaner GH, Herz C, Stangl H. Moderate alcohol consumption shifts to an atheroprotective phenotype: A glass of wine keeps atherosclerosis in check? Atherosclerosis 2016; 254:305-306. [DOI: 10.1016/j.atherosclerosis.2016.09.065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 09/22/2016] [Indexed: 01/13/2023]
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