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Zou L, Yu X, Xiong J, Chen C, Xiao G. Partial Replacement of NaCl with KCl in Cooked Meat Could Reduce the Liver Damage Through Renin-Angiotensin System in Mice. Mol Nutr Food Res 2024; 68:e2200783. [PMID: 38308101 DOI: 10.1002/mnfr.202200783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 05/29/2023] [Indexed: 02/04/2024]
Abstract
SCOPE Dietary salt (sodium chloride, NaCl) is necessary for processed meat products, but intake of a high-sodium diet carries serious health risks. Considerable studies indicate that the partial substitution of NaCl with potassium chloride (KCl) can produce sodium-reduced cooked meat. However, most studies of sodium-reduced cooked meat focus on the production process in vitro, and the effect of cooked meat on health has not been well clarified in vivo. METHODS AND RESULTS This study finds that compared to the high-sodium group (HS), serum renin, angiotensin-converting enzyme (ACE), angiotensin (Ang) II, and the levels of some indicators of dyslipidemia are decreased in the reduced salt by partial substitution of NaCl with KCl group (RS + K). Furthermore, RS + K increases the antioxidation abilities, inhibits the renin-angiotensin system (RAS) through ACE/Ang II/Ang II type 1 receptor axis pathway, reduces synthesis of triglyceride and cholesterol and protein expressions of inflammatory factors interleukin-17A and nuclear factor-kappa B in the liver. CONCLUSION Partial substitution of NaCl with KCl in cooked meat can be a feasible approach for improving the health benefits and developing novel functional meat products for nutritional health interventions.
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Affiliation(s)
- Lifang Zou
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei, 230009, China
| | - Xia Yu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei, 230009, China
| | - Jiahao Xiong
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei, 230009, China
| | - Conggui Chen
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei, 230009, China
- Engineering Research Center of Bio-Process, Ministry of Education, Hefei University of Technology, Hefei, 230009, China
| | - Guiran Xiao
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei, 230009, China
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Guirette M, Lan J, McKeown N, Brown MR, Chen H, DE Vries PS, Kim H, Rebholz CM, Morrison AC, Bartz TM, Fretts AM, Guo X, Lemaitre RN, Liu CT, Noordam R, DE Mutsert R, Rosendaal FR, Wang CA, Beilin L, Mori TA, Oddy WH, Pennell CE, Chai JF, Whitton C, VAN Dam RM, Liu J, Tai ES, Sim X, Neuhouser ML, Kooperberg C, Tinker L, Franceschini N, Huan T, Winkler TW, Bentley AR, Gauderman WJ, Heerkens L, Tanaka T, van Rooij J, Munroe PB, Warren HR, Voortman T, Chen H, Rao DC, Levy D, Ma J. Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.10.23298402. [PMID: 37986948 PMCID: PMC10659476 DOI: 10.1101/2023.11.10.23298402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Objective We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP). Methods We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses. Results We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction < 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (P for interaction = 9.4e-7) and 0.20±0.06 mm Hg (P for interaction = 0.001) in CHARGE and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with cis-expression quantitative trait loci (eQTL) variants (P = 4e-273) and cis-DNA methylation quantitative trait loci (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is MTHFS, the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene ST20 at 15q25.1. Conclusion We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.
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Affiliation(s)
- Mélanie Guirette
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Jessie Lan
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Nicola McKeown
- Programs of Nutrition, Department of Health Sciences, Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, USA
| | - 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, TX, USA
| | - Han Chen
- 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, TX, USA
| | - 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, TX, USA
| | - Hyunju Kim
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - 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, TX, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, USA
| | - Amanda M Fretts
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Xiuqing Guo
- The Lundquist Institute at Harbor-UCLA, Torrance, CA, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ching-Ti Liu
- Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Renée DE Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Carol A Wang
- School of Medicine and Public Health, University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, NSW, Australia
| | - Lawrence Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, Western Australia, Australia
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, Western Australia, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia Saw Swee Hock, School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, NSW, Australia
| | - Jin Fang Chai
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Clare Whitton
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - Rob M VAN Dam
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - E Shyong Tai
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Xueling Sim
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Lesley Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Tianxiao Huan
- Framingham Heart Study and Population Sciences Branch, NHLBI, Framingham, MA, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg; Regensburg, Germany
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California; CA, USA
| | - Luc Heerkens
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Toshiko Tanaka
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA
| | - Jeroen van Rooij
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Patricia B Munroe
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Helen R Warren
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Honglei Chen
- Department of Epidemiology and Biostatistics College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
| | - D C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel Levy
- Framingham Heart Study and Population Sciences Branch, NHLBI, Framingham, MA, USA
| | - Jiantao Ma
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
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Zhang C, Zeng Q, Liu Y, Qin Z, Liu L, Tao J, Zhang L, Yang Q, Lei J, Tang X, Wang Q, Zheng L, Hong F. Family History of Hypertension and Cobalt Exposure Synergistically Promote the Prevalence of Hypertension. Biol Trace Elem Res 2022; 200:943-952. [PMID: 33846928 DOI: 10.1007/s12011-021-02707-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 04/02/2021] [Indexed: 12/28/2022]
Abstract
It has been previously reported that family history of hypertension (FHH) and exposure to metals are each independent risk factor for hypertension, but the interaction between the two in relation to hypertension risk has been poorly studied. The object of this study is Dong ethnic group in Guizhou, China. The impacts of exposure to metals and FHH on hypertension incidence were examined by using the restrictive cubic spline (RCS) model as well as the multivariate logistic regression model. As a result, FHH, together with cobalt and lead exposure, was identified to show independent significant correlation with hypertension incidence (P < 0.05). The risk of hypertension increased with the increase in lead and cobalt exposure quartiles. Typically, the RCS model revealed such dose-response relation. To further confirm the association of cobalt, lead, and FHH with the risk of hypertension, multiplication and addition models were used to analyze the influence of the interactions between these variables on the risk of hypertension. The results showed that there was a multiplying interaction between the influence of the FHH and cobalt on the risk of hypertension. As for the additive interaction between cobalt and FHH, the relative excess risk due to interaction (RERI) was determined to be 0.596 (95% Cl: 0.001-1.191), the attributable proportion due to interaction (AP) was calculated as 0.256 (95% Cl: 0.075-0.437), whereas the synergy index (S) was identified to be 1.814 (95% Cl: 1.080-3.047). Our study provides some limited evidence that a FHH and cobalt exposure synergistically promote the prevalence of hypertension.
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Affiliation(s)
- Cailiang Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Qibing Zeng
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Yalan Liu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Zixiu Qin
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Leilei Liu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Junyan Tao
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Linyuan Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Qianyuan Yang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Juan Lei
- Guiyang City Center for Disease Control and Prevention, Guiyang, 550003, Guizhou, China
| | - Xuejie Tang
- University Town Hospital, Gui'an New District, Guiyang, 550025, Guizhou, China
| | - Qiaorong Wang
- University Town Hospital, Gui'an New District, Guiyang, 550025, Guizhou, China
| | - Liubo Zheng
- Guizhou Provincial People's Hospital, Guiyang, 550002, Guizhou, China
| | - Feng Hong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China.
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Gubina MA, Babenko VN, Batsevich VA, Leibova NA, Zabiyako AP. Polymorphism of Mitochondrial DNA and Six Nuclear Genes in the Amur Evenk Population. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422010033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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5
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Palaniveloo L, Ambak R, Othman F, Mohd Zaki NA, Baharudin A, Abdul Aziz NS, Salleh R. Low potassium intake and its association with blood pressure among adults in Malaysia: findings from the MyCoSS (Malaysian Community Salt Survey). JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2021; 40:7. [PMID: 34059161 PMCID: PMC8165986 DOI: 10.1186/s41043-021-00238-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
BACKGROUND High blood pressure or hypertension is well recognized as an important modifiable risk factor for cardiovascular diseases. Several studies had indicated potassium intake has a blood pressure lowering effect. This study aimed to estimate potassium intake via 24-h urinary potassium excretion and to determine the association between potassium intake and blood pressure among adults in Malaysia. METHODS Data for 424 respondents in this study were drawn from MyCoSS, a nationwide cross- sectional study conducted among Malaysians who were 18 years and above. Respondents were recruited using stratified cluster sampling, covering urban and rural areas in each state in Malaysia. Data collection was undertaken from October 2017 until March 2018. A single urine sample was collected over 24 h for quantification of potassium excreted. Information on socio-demography and medical history of the respondents were collected by interviewer-administered questionnaires. Anthropometric measurements were measured using validated equipment. BMI was estimated using measured body weight and height. Digital blood pressure monitor (Omron HBP-1300) was used to measure blood pressure. Descriptive statistics, analysis of variance (ANOVA), and multivariable linear regression were used to analyze the data in SPSS Version 21. RESULTS Mean 24-h urinary potassium excretion for the 424 respondents was 37 mmol (95% CI 36, 38). Gender and ethnicity showed statistically significant associations with 24-h urinary potassium excretion. However, potassium excretion was not significantly associated with blood pressure in this study. CONCLUSION Potassium intake is very low among the adults in Malaysia. Therefore, further education and promotional campaigns regarding daily consumption of potassium-rich diet and its benefits to health need to be tailored for the Malaysian adult population.
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Affiliation(s)
- Lalitha Palaniveloo
- Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia
| | - Rashidah Ambak
- Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia
| | - Fatimah Othman
- Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia
| | - Nor Azian Mohd Zaki
- Department of Dietetic and Food Service, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Sarawak Malaysia
| | - Azli Baharudin
- Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia
| | - Nur Shahida Abdul Aziz
- Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia
| | - Ruhaya Salleh
- Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia
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Urinary Sodium and Potassium Levels and Blood Pressure in Population with High Sodium Intake. Nutrients 2020; 12:nu12113442. [PMID: 33182633 PMCID: PMC7697285 DOI: 10.3390/nu12113442] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/16/2020] [Accepted: 11/06/2020] [Indexed: 12/23/2022] Open
Abstract
The purpose of this study was to examine the association of urinary sodium-to-creatinine ratio and potassium-to-creatinine ratio with blood pressure in a cross-sectional study comprising Korean adults who participated in the Healthy Twin Study. The participants consisted of 2653 men and women in the Healthy Twin Study aged ≥19 years. Participants’ urinary excretion of sodium, potassium, and creatinine was measured from overnight half-day urine samples. Food intake was assessed using a validated food frequency questionnaire. We examined systolic and diastolic blood pressures according to sodium- or potassium-to-creatinine ratios using the generalized linear model. We determined food groups explaining high urinary sodium- or potassium-to-creatinine ratio using the reduced rank regression and calculated sodium- or potassium-contributing food score. We observed that systolic blood pressure was higher among men and women in the highest quintile of urinary sodium-to-creatinine ratio or sodium-to-potassium ratio than it was in the lowest quintile. Geometric means (95% CIs) of the lowest and the highest quintiles of systolic blood pressure (mmHg) were 113.4 (111.8–115.0) and 115.6 (114.1–117.2; P for trend = 0.02), respectively, for sodium-to-creatinine ratio. The association between urinary sodium-to-creatinine and systolic blood pressure was more pronounced among individuals whose body mass index (BMI) was less than 25 kg/m2 (P for interaction = 0.03). We found that vegetables, kimchi and seaweed intake contributed to high sodium intake and a sodium-contributing food score were associated with increased blood pressure. In our study, we identified the food groups contributing to high sodium intake and found that high urinary sodium levels were associated with increasing blood pressure among Korean adults.
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7
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Jeong H, Jin HS, Kim SS, Shin D. Identifying Interactions between Dietary Sodium, Potassium, Sodium-Potassium Ratios, and FGF5 rs16998073 Variants and Their Associated Risk for Hypertension in Korean Adults. Nutrients 2020; 12:nu12072121. [PMID: 32709000 PMCID: PMC7400941 DOI: 10.3390/nu12072121] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 07/12/2020] [Accepted: 07/14/2020] [Indexed: 12/12/2022] Open
Abstract
Hypertension is affected by both genetic and dietary factors. This study aimed to examine the interaction between dietary sodium/potassium intake, sodium–potassium ratios, and FGF5 rs16998073 and link these with increased risk for developing hypertension. Using data from the Health Examinee (HEXA) Study of the Korean Genome and Epidemiologic Study (KoGES), we were able to identify a total of 17,736 middle-aged Korean adults who could be included in our genome-wide association study (GWAS) to confirm any associations between hypertension and the FGF5 rs16998073 variant. GWAS analysis revealed that the FGF5 rs16698073 variant demonstrated the strongest association with hypertension in this population. Multivariable logistic regression was used to examine the relationship between dietary intake of sodium, potassium, and sodium–potassium ratios and the FGF5 rs16998073 genotypes (AA, AT, TT) and any increased risk of hypertension. Carriers with at least one minor T allele for FGF5 rs16998073 were shown to be at significantly higher risk for developing hypertension. Male TT carriers with a daily sodium intake ≥2000 mg also demonstrated an increased risk for developing hypertension compared to the male AA carriers with daily sodium intake <2000 mg (adjusted odds ratio (AOR) = 2.41, 95% confidence intervals (CIs) = 1.84–3.15, p-interaction < 0.0001). Female AA carriers with a daily potassium intake ≥3500 mg showed a reduced risk for hypertension when compared to female AA carriers with a daily potassium intake <3500 mg (AOR = 0.75. 95% CIs = 0.58–0.95, p-interaction < 0.0001). Male TT carriers in the mid-tertile for sodium–potassium ratio values showed the highest odds ratio for hypertension when compared to male AA carriers in the lowest-tertile for sodium–potassium ratio values (AOR = 3.03, 95% CIs = 2.14–4.29, p-interaction < 0.0001). This study confirmed that FGF5 rs16998073 variants do place their carriers (men and women) at increased risk for developing hypertension. In addition, we showed that high daily intake of sodium exerted a synergistic effect for hypertension when combined with FGF5 rs16998073 variants in both genders and that dietary sodium, potassium, and sodium–potassium ratios all interact with FGF5 rs16998073 and alter the risk of developing hypertension in carriers of either gender among Koreans.
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Affiliation(s)
- Hyeyun Jeong
- Department of Food and Nutrition, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea;
| | - Hyun-Seok Jin
- Department of Biomedical Laboratory Science, College of Life and Health Sciences, Hoseo University, Asan, Chungnam 31499, Korea; (H.-S.J.); (S.-S.K.)
| | - Sung-Soo Kim
- Department of Biomedical Laboratory Science, College of Life and Health Sciences, Hoseo University, Asan, Chungnam 31499, Korea; (H.-S.J.); (S.-S.K.)
| | - Dayeon Shin
- Department of Food and Nutrition, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea;
- Correspondence: ; Tel.: +82-32-860-8123
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Genome-wide association study of metabolic syndrome in Korean populations. PLoS One 2020; 15:e0227357. [PMID: 31910446 PMCID: PMC6946588 DOI: 10.1371/journal.pone.0227357] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 12/17/2019] [Indexed: 12/24/2022] Open
Abstract
Metabolic syndrome (MetS) which is caused by obesity and insulin resistance, is well known for its predictive capability for the risk of type 2 diabetes mellitus and cardiovascular disease. The development of MetS is associated with multiple genetic factors, environmental factors and lifestyle. We performed a genome-wide association study to identify single-nucleotide polymorphism (SNP) related to MetS in large Korean population based samples of 1,362 subjects with MetS and 6,061 controls using the Axiom® Korean Biobank Array 1.0. We replicated the data in another sample including 502 subjects with MetS and 1,751 controls. After adjusting for age and sex, rs662799 located in the APOA5 gene were significantly associated with MetS. 15 SNPs in GCKR, C2orf16, APOA5, ZPR1, and BUD13 were associated with high triglyceride (TG). 14 SNPs in APOA5, ALDH1A2, LIPC, HERPUD1, and CETP, and 2 SNPs in MTNR1B were associated with low high density lipoprotein cholesterol (HDL-C) and high fasting blood glucose respectively. Among these SNPs, 6 TG SNPs: rs1260326, rs1260333, rs1919127, rs964184, rs2075295 and rs1558861 and 11 HDL-C SNPs: rs4775041, rs10468017, rs1800588, rs72786786, rs173539, rs247616, rs247617, rs3764261, rs4783961, rs708272, and rs7499892 were first discovered in Koreans. Additional research is needed to confirm these 17 novel SNPs in Korean population.
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Kokubo Y, Padmanabhan S, Iwashima Y, Yamagishi K, Goto A. Gene and environmental interactions according to the components of lifestyle modifications in hypertension guidelines. Environ Health Prev Med 2019; 24:19. [PMID: 30857519 PMCID: PMC6410507 DOI: 10.1186/s12199-019-0771-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Accepted: 02/24/2019] [Indexed: 12/24/2022] Open
Abstract
Risk factors for hypertension consist of lifestyle and genetic factors. Family history and twin studies have yielded heritability estimates of BP in the range of 34–67%. The most recent paper of BP GWAS has explained about 20% of the population variation of BP. An overestimation of heritability may have occurred in twin studies due to violations of shared environment assumptions, poor phenotyping practices in control cohorts, failure to account for epistasis, gene-gene and gene-environment interactions, and other non-genetic sources of phenotype modulation that are suspected to lead to underestimations of heritability in GWAS. The recommendations of hypertension guidelines in major countries consist of the following elements: weight reduction, a healthy diet, dietary sodium reduction, increasing physical activity, quitting smoking, and moderate alcohol consumption. The hypertension guidelines are mostly the same for each country or region, beyond race and culture. In this review, we summarize gene-environmental interactions associated with hypertension by describing lifestyle modifications according to the hypertension guidelines. In the era of precision medicine, clinicians who are responsible for hypertension management should consider the gene-environment interactions along with the appropriate lifestyle components toward the prevention and treatment of hypertension. We briefly reviewed the interaction of genetic and environmental factors along the constituent elements of hypertension guidelines, but a sufficient amount of evidence has not yet accumulated, and the results of genetic factors often differed in each study.
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Affiliation(s)
- Yoshihiro Kokubo
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, 5-7-1, Fujishiro-dai, Suita, Osaka, 565-8565, Japan. .,Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Yoshio Iwashima
- Division of Hypertension and Nephrology, Department of Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan
| | - Atsushi Goto
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
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C-src tyrosine kinase gene rs1378942 polymorphism and hypertension in Asians: Review and meta-analysis. Clin Chim Acta 2018; 487:202-209. [DOI: 10.1016/j.cca.2018.10.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 09/25/2018] [Accepted: 10/01/2018] [Indexed: 12/18/2022]
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11
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Associations of urinary sodium levels with overweight and central obesity in a population with a sodium intake. BMC Nutr 2018; 4:47. [PMID: 32153908 PMCID: PMC7050808 DOI: 10.1186/s40795-018-0255-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 10/26/2018] [Indexed: 12/12/2022] Open
Abstract
Background Previous studies have reported an association between dietary sodium intake and overweight/central obesity. However, dietary survey methods were prone to underestimate sodium intake. Therefore, this study investigated the associations of calculated 24-h urinary sodium excretion, an index of dietary sodium intake, with various obesity parameters including body mass index (BMI) and waist circumference (WC) in a population with a relatively high sodium intake. Methods A total of 16,250 adults (aged ≥19 years) and 1476 adolescents (aged 10-18 years), with available information on spot urine sodium levels and anthropometric measurements from the Korea National Health and Nutrition Examination Survey (KNHANES) were included in this study. We calculated 24-h urine sodium excretion levels from spot urine sodium levels using the Tanaka formula. Results In adults, those with high sodium excretion levels (≥ 3200 mg) showed increased odds of overweight and central obesity compared to those with low urinary sodium excretion level (< 2200 mg) (odds ratio [OR] = 2.17, 95% confidence interval [CI] = 1.90-2.49 for overweight; OR = 2.50, 95% CI = 2.13-2.94 for central obesity). These associations were also observed in adolescents (OR = 5.80, 95% CI = 3.17-10.60 for overweight; OR = 4.19, 95% CI = 1.78-9.89 for central obesity). Conclusions The present study suggests that reducing salt intake might be important for preventing overweight and central obesity, especially in adolescents. However, because the present study was conducted with cross-sectional study design, further longitudinal studies are warranted to confirm the causal relationship between urinary sodium excretion and overweight/central obesity.
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12
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Park YM, Kwock CK, Park S, Eicher-Miller HA, Yang YJ. An association of urinary sodium-potassium ratio with insulin resistance among Korean adults. Nutr Res Pract 2018; 12:443-448. [PMID: 30323912 PMCID: PMC6172169 DOI: 10.4162/nrp.2018.12.5.443] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Revised: 07/05/2018] [Accepted: 09/20/2018] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND/OBJECTIVES This study was conducted to investigate the effects of sodium-potassium ratio on insulin resistance and sensitivity in Korean adults. SUBJECTS/METHODS Subjects were 3,722 adults (1,632 men and 2,090 women) aged 40-69 years participating in the Korean genome and epidemiology study_Ansan and Ansung study. Insulin resistance was assessed using homeostasis model assessment of insulin resistance (HoMA-IR) and fasting insulin, and insulin sensitivity was assessed by using the quantitative insulin sensitivity check index (QUICKI). The 24-h urinary sodium and potassium excretion were estimated from spot urinary samples using the Tanaka formula. The generalized linear model was applied to determine the association between urinary sodium-potassium ratio and insulin resistance. RESULTS HoMA-IR (P-value = 0.029, P-trend = 0.008) and fasting insulin (P-value = 0.017, P-trend = 0.005) levels were positively associated with 24-h estimated urinary sodium-potassium ratio in the multivariable model. QUICKI was inversely associated with 24-h estimated urinary sodium-potassium ratio in all models (P-value = 0.0002, P-trend < 0.0001 in the multivariate model). CONCLUSION The present study suggests that high sodium-potassium ratio is related to high insulin resistance and low insulin sensitivity. Decreasing sodium intake and increasing potassium intake are important for maintaining insulin sensitivity. Further studies are needed to confirm these findings in longitudinal studies.
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Affiliation(s)
- Yeong Mi Park
- Department of Foods and Nutrition, Dongduk Women's University, 60, Hwarang-ro 13-gil, Seongbuk-gu, Seoul 02748, Korea
| | - Chang Keun Kwock
- Nutrition and Diet Research Group, Korea Food Research Institute, Jeonbuk 55365, Korea
| | - Seyeon Park
- Department of Applied Chemistry, Dongduk Women's University, Seoul 02748, Korea
| | - Heather A Eicher-Miller
- Department of Nutrition Science, Purdue University, 700 W. State Street, West Lafayette, IN 47907, USA
| | - Yoon Jung Yang
- Department of Foods and Nutrition, Dongduk Women's University, 60, Hwarang-ro 13-gil, Seongbuk-gu, Seoul 02748, Korea.,Department of Nutrition Science, Purdue University, 700 W. State Street, West Lafayette, IN 47907, USA
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Bauer A, Jagannathan V, Högler S, Richter B, McEwan NA, Thomas A, Cadieu E, André C, Hytönen MK, Lohi H, Welle MM, Roosje P, Mellersh C, Casal ML, Leeb T. MKLN1 splicing defect in dogs with lethal acrodermatitis. PLoS Genet 2018; 14:e1007264. [PMID: 29565995 PMCID: PMC5863938 DOI: 10.1371/journal.pgen.1007264] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 02/21/2018] [Indexed: 12/31/2022] Open
Abstract
Lethal acrodermatitis (LAD) is a genodermatosis with monogenic autosomal recessive inheritance in Bull Terriers and Miniature Bull Terriers. The LAD phenotype is characterized by poor growth, immune deficiency, and skin lesions, especially at the paws. Utilizing a combination of genome wide association study and haplotype analysis, we mapped the LAD locus to a critical interval of ~1.11 Mb on chromosome 14. Whole genome sequencing of an LAD affected dog revealed a splice region variant in the MKLN1 gene that was not present in 191 control genomes (chr14:5,731,405T>G or MKLN1:c.400+3A>C). This variant showed perfect association in a larger combined Bull Terrier/Miniature Bull Terrier cohort of 46 cases and 294 controls. The variant was absent from 462 genetically diverse control dogs of 62 other dog breeds. RT-PCR analysis of skin RNA from an affected and a control dog demonstrated skipping of exon 4 in the MKLN1 transcripts of the LAD affected dog, which leads to a shift in the MKLN1 reading frame. MKLN1 encodes the widely expressed intracellular protein muskelin 1, for which diverse functions in cell adhesion, morphology, spreading, and intracellular transport processes are discussed. While the pathogenesis of LAD remains unclear, our data facilitate genetic testing of Bull Terriers and Miniature Bull Terriers to prevent the unintentional production of LAD affected dogs. This study may provide a starting point to further clarify the elusive physiological role of muskelin 1 in vivo. Lethal acrodermatitis (LAD) is an autosomal recessive hereditary disease in dogs. It is characterized by poor growth, immune deficiency and characteristic skin lesions of the paws and of the face. We mapped the LAD locus to a ~1.11 Mb segment on canine chromosome 14. Whole genome sequence data of an LAD affected dog and 191 controls revealed a candidate causative variant in the MKLN1 gene, encoding muskelin 1. The identified variant, a single nucleotide substitution, MKLN1:c.400+3A>C, altered the 5’-splice site at the beginning of intron 4. We experimentally confirmed that this variant leads to complete skipping of exon 4 in the MKLN1 mRNA in skin. Various cellular functions have been postulated for muskelin 1 including roles in intracellular transport processes, cell morphology, cell spreading, and cell adhesion. Our data from dogs reveal a novel in vivo role for muskelin 1 that is related to the immune system and skin. MKLN1 thus represents a novel candidate gene for human patients with unsolved acrodermatitis and/or immune deficiency phenotypes. LAD affected dogs may serve as models to gain more insights into the function of muskelin 1.
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Affiliation(s)
- Anina Bauer
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- DermFocus, University of Bern, Bern, Switzerland
| | - Vidhya Jagannathan
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- DermFocus, University of Bern, Bern, Switzerland
| | - Sandra Högler
- Department of Pathobiology, Institute of Pathology and Forensic Veterinary Medicine, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Barbara Richter
- Department of Pathobiology, Institute of Pathology and Forensic Veterinary Medicine, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Neil A. McEwan
- Department of Small Animal Clinical Sciences, The University of Liverpool, Leahurst Campus, Neston, Cheshire, United Kingdom
| | - Anne Thomas
- Antagene, Animal Genetics Laboratory, La Tour de Salvagny, France
| | - Edouard Cadieu
- Institut de Génétique et Développement de Rennes (IGDR), CNRS-UMR6290, Université Rennes1, Rennes, France
| | - Catherine André
- Institut de Génétique et Développement de Rennes (IGDR), CNRS-UMR6290, Université Rennes1, Rennes, France
| | - Marjo K. Hytönen
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Research Programs Unit, Molecular Neurology, University of Helsinki, Helsinki, Finland
- Folkhälsan Institute of Genetics, University of Helsinki, Helsinki, Finland
| | - Hannes Lohi
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Research Programs Unit, Molecular Neurology, University of Helsinki, Helsinki, Finland
- Folkhälsan Institute of Genetics, University of Helsinki, Helsinki, Finland
| | - Monika M. Welle
- DermFocus, University of Bern, Bern, Switzerland
- Institute of Animal Pathology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Petra Roosje
- DermFocus, University of Bern, Bern, Switzerland
- Division of Clinical Dermatology, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern,Bern, Switzerland
| | - Cathryn Mellersh
- Kennel Club Genetics Centre, Animal Health Trust, Kentford, Newmarket, Suffolk, United Kingdom
| | - Margret L. Casal
- Section of Medical Genetics, Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- DermFocus, University of Bern, Bern, Switzerland
- * E-mail:
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Li C, He J, Chen J, Zhao J, Gu D, Hixson JE, Rao DC, Jaquish CE, Rice TK, Sung YJ, Kelly TN. Genome-Wide Gene-Potassium Interaction Analyses on Blood Pressure: The GenSalt Study (Genetic Epidemiology Network of Salt Sensitivity). CIRCULATION. CARDIOVASCULAR GENETICS 2017; 10:e001811. [PMID: 29212900 PMCID: PMC5728702 DOI: 10.1161/circgenetics.117.001811] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 11/07/2017] [Indexed: 12/24/2022]
Abstract
BACKGROUND Gene-environmental interaction analysis can identify novel genetic factors for blood pressure (BP). We performed genome-wide analyses to identify genomic loci that interact with potassium to influence BP using single-marker (1 and 2 df joint tests) and gene-based tests among Chinese participants of the GenSalt study (Genetic Epidemiology Network of Salt Sensitivity). METHODS AND RESULTS Among 1876 GenSalt participants, the average of 3 urine samples was used to estimate potassium excretion. Nine BP measurements were taken using a random-zero sphygmomanometer. A total of 2.2 million single nucleotide polymorphisms were imputed using Affymetrix 6.0 genotype data and the Chinese Han of Beijing and Japanese of Tokyo HapMap reference panel. Promising findings (P<1.00×10-4) from GenSalt were evaluated for replication among 775 Chinese participants of the MESA (Multi-ethnic Study of Atherosclerosis). Single nucleotide polymorphism and gene-based results were meta-analyzed across the GenSalt and MESA studies to determine genome-wide significance. The 1 df tests identified interactions for ARL15 rs16882447 on systolic BP (P=2.83×10-9) and RANBP3L rs958929 on pulse pressure (P=1.58×10-8). The 2 df tests confirmed the ARL15 rs16882447 signal for systolic BP (P=1.15×10-9). Genome-wide gene-based analysis identified CC2D2A (P=2.59×10-7) at 4p15.32 and BNC2 (P=4.49×10-10) at 9p22.2 for systolic BP, GGNBP1 (P=1.18×10-8), and LINC00336 (P=1.36×10-8) at 6p21 for diastolic BP, DAB1 (P=1.05×10-13) at 1p32.2, and MIR4466 (P=5.34×10-8) at 6q25.3 for pulse pressure. The BNC2 (P=3.57×10-8) gene was also significant for mean arterial pressure. CONCLUSIONS We identified 2 novel BP loci and 6 genes through the examination of single nucleotide polymorphism- and gene-based interactions with potassium.
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Affiliation(s)
- Changwei Li
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.).
| | - Jiang He
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.)
| | - Jing Chen
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.)
| | - Jinying Zhao
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.)
| | - Dongfeng Gu
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.)
| | - James E Hixson
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.)
| | - Dabeeru C Rao
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.)
| | - Cashell E Jaquish
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.)
| | - Treva K Rice
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.)
| | - Yun Ju Sung
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.)
| | - Tanika N Kelly
- From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (D.G.); Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX (J.E.H.); Division of Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R., T.K.R., Y.J.S.); and Division of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, MD (C.E.J.)
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People with the major alleles of ATP2B1 rs17249754 increases the risk of hypertension in high ratio of sodium and potassium, and low calcium intakes. J Hum Hypertens 2017; 31:787-794. [DOI: 10.1038/jhh.2017.72] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 08/05/2017] [Accepted: 08/14/2017] [Indexed: 12/29/2022]
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