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Kohlmeier M, Baah E, Washko M, Adams K. Genotype-informed nutrition counselling in clinical practice. BMJ Nutr Prev Health 2023; 6:407-412. [PMID: 38618528 PMCID: PMC11009529 DOI: 10.1136/bmjnph-2023-000808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 11/01/2023] [Indexed: 04/16/2024] Open
Affiliation(s)
- Martin Kohlmeier
- University of North Carolina at Chapel Hill, School of Medicine and Gillings School of Global Public Health, and UNC Nutrition Research Institute, Chapel Hill, NC, USA
| | - Emmanuel Baah
- University of North Carolina at Chapel Hill, School of Medicine and Gillings School of Global Public Health, and UNC Nutrition Research Institute, Chapel Hill, NC, USA
| | - Matthew Washko
- University of North Carolina at Chapel Hill, School of Medicine and Gillings School of Global Public Health, and UNC Nutrition Research Institute, Chapel Hill, NC, USA
| | - Kelly Adams
- University of North Carolina at Chapel Hill, School of Medicine and Gillings School of Global Public Health, and UNC Nutrition Research Institute, Chapel Hill, NC, USA
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Uhlig T, Karoliussen LF, Sexton J, Kvien TK, Haavardsholm EA, Hammer HB. Lifestyle factors predict gout outcomes: Results from the NOR-Gout longitudinal 2-year treat-to-target study. RMD Open 2023; 9:e003600. [PMID: 38053463 DOI: 10.1136/rmdopen-2023-003600] [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: 08/11/2023] [Accepted: 11/09/2023] [Indexed: 12/07/2023] Open
Abstract
OBJECTIVE Gout is associated with lifestyle, body mass index (BMI) and comorbidities, including dyslipidaemia. We studied how in actively treated patients, anthropometric measures and lipid levels changed over 2 years and whether they predicted gout outcomes. METHODS Patients with a recent gout flare and elevated serum urate (sUA) received gout education and treat-to-target urate-lowering therapy over 1 year. Anthropometric measures with BMI, waist circumference (WC) and waist-height ratio (WHR) as well as lipid levels were measured yearly over 2 years. We examined whether baseline anthropometric measures and lipid levels were related to flares and to achieving the sUA target. RESULTS At baseline, patients (n=211) were with mean age of 56.4 years and 95% were male. Over 2 years, anthropometric measures were largely unchanged while cholesterol and low-density lipoprotein cholesterol (LDL-C) were reduced at year 1. Anthropometric measures were associated with presence of tophi. Higher baseline WC (OR: 0.96 per cm, 95% CI: 0.93 to 0.99) decreased and high level of high-density lipoprotein cholesterol (OR: 5.1 per mmol/L, 95% CI: 1.2 to 22.1) increased the chance of sUA target achievement at year 2. High LDL-C (OR: 1.8 per mmol/L, 95% CI: 1.2 to 2.6) predicted the chance of having a gout flare during year 2. CONCLUSION In actively treated patients with gout, anthropometric measures were largely unchanged over 2 years and lipid levels were reduced. High WC and lipid levels predicted unfavourable gout outcomes after 2 years.
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Affiliation(s)
- Till Uhlig
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
- University of Oslo, Oslo, Norway
| | - Lars Fridtjof Karoliussen
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
| | - Joseph Sexton
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
| | - Tore K Kvien
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
- University of Oslo, Oslo, Norway
| | - Espen A Haavardsholm
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
- University of Oslo, Oslo, Norway
| | - Hilde Berner Hammer
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
- University of Oslo, Oslo, Norway
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Chua CG, Thong BYH. Inflammatory Arthritis Among Military Servicemen From a Rheumatology Center in Singapore. Mil Med 2023; 188:e473-e478. [PMID: 34190324 DOI: 10.1093/milmed/usab246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 06/02/2021] [Accepted: 06/11/2021] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Musculoskeletal disorders are one of the most common reasons military servicemen seek medical care during their line of duty. This study aims to review the clinical profile and outcomes of military personnel with inflammatory arthritis (IA) referred to a specialist rheumatology center in Singapore. MATERIALS AND METHODS Consecutive new case referrals from the Singapore Armed Forces medical centers during the study period January 1, 2010, to December 31, 2019, were retrospectively studied. RESULTS There were 123 referrals, comprising 112 (91.1%) males, with the majority being Chinese (110, 89.4%). The mean age was 25.5 ± 11.1 years. The most common diagnoses were gout (including chronic tophaceous gout; 34, 27.6%), spondyloarthritis (18, 14.6%), palindromic rheumatism (8, 6.5%), rheumatoid arthritis (4, 3.3%), and juvenile idiopathic arthritis (4, 3.3%). Among servicemen with gout, all were male, the majority (31, 91.3%) were Chinese, and mean age was 34.1 ± 8.8 years. Mean body mass index (BMI) was 27.5 ± 3.9 kg/m2, of which 41.2% had moderate-risk and 47.1% high-risk BMI for cardiovascular disease and diabetes mellitus (DM). Comorbidities included hyperlipidemia (14), hypertension (6), and type 2 DM (3). Urate lowering therapy was initiated in 27 (79.4%) patients, comprising allopurinol (85.2%), probenecid (11.1%), and their combination (3.7%). One patient developed allopurinol-induced hepatitis; none had severe cutaneous adverse reactions. Among the remaining patients with IA, conventional synthetic disease-modifying antirheumatic drugs (DMARDs) used were sulfasalazine (8), methotrexate (4), hydroxychloroquine (4), and leflunomide (2). Biologic DMARDs used in five patients comprised adalimumab (3) and golimumab (2). CONCLUSION Servicemen with IA and good functional status can still be physically fit and deployable into certain combat and service support vocations. This will optimize manpower resources in military organizations with a shrinking young workforce.
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Affiliation(s)
- Choon-Guan Chua
- Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, 308433, Singapore
| | - Bernard Yu-Hor Thong
- Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, 308433, Singapore
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Wang X, Long H, Chen M, Zhou Z, Wu Q, Xu S, Li G, Lu Z. Modified Baihu decoction therapeutically remodels gut microbiota to inhibit acute gouty arthritis. Front Physiol 2022; 13:1023453. [PMID: 36589463 PMCID: PMC9798006 DOI: 10.3389/fphys.2022.1023453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022] Open
Abstract
Background: Acute gouty arthritis (AGA) is the most common first symptom of gout, and the development of gout as a metabolic and immune inflammatory disease is also correlated with the gut microbiota. However, the mechanism of the effect of changes in the gut microbiota on AGA remains unclear. The intestinal flora can not only affect purine metabolism or regulate inflammation, but also influence the therapeutic effect of drugs on AGA. The aim of this study was to investigate the exact mechanism of modified Baihu decoction (MBD) in the treatment of AGA and whether it is related to the regulation of the structure of the intestinal flora. Methods: On the 21st day of MBD administration by continuous gavage, a rat acute gouty arthritis model was constructed using sodium urate (0.1 mL/rat, 50 mg/mL), and the ankle joint swelling was measured before and 4 h, 8 h, 24 h, and 48 h after the injection of sodium urate. After 48 h of sodium urate injection, serum, liver, kidney, ankle synovial tissue and feces were collected from rats. The collected samples were examined and analyzed using H&E, Elisa, Immunohistochemistry, Histopathology, 16S rDNA, and Biochemical analysis. To investigate the mechanism of MBD to alleviate AGA using pro-inflammatory factors and intestinal flora. Results: MBD (5.84, 35 g/kg) was administered orally to AGA rats and diclofenac sodium tablets (DS-tablets) were used as standard treatment control. Serum biochemical assessment confirmed that MBD is a safe drug for the treatment of AGA. In addition, our findings confirmed that MBD relieved AGA-related symptoms, such as toe swelling. Lowering serum levels of uric acid, IL-1β, and TGF-β1 immunohistochemical results also confirmed that MBD reduced the expression of inflammatory elements such as IL-1β, NLRP3, ASC, and Caspase-1 in synovial tissue.Furthermore, compared with control group, the 16s rDNA sequencing of AGA rat faeces revealed an increase in the relative abundance of Lachnospiraceae, Muribaculaceae, and Bifidobacteriaceae species. While the relative abundance of Lactobacillaceae, Erysipelotrichaceae, Ruminococcaceae, Prevotellaceae and Enterobacteriaceae showed a relative decrease in species abundance. Of these, the reduction in species abundance of Enterobacteriaceae was associated with a reduction in amino acid metabolism and environmental perception. After MBD therapeutic intervention, the disturbance of the intestinal flora caused by AGA was restored. Conclusion: In summary, MBD is an effective agent for the treatment of AGA, with the potential mechanism being the regulation of intestinal flora to control inflammation. This would help to promote the therapeutic effect of MBD on AGA.
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Affiliation(s)
- Xianyang Wang
- Animal Experiment Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Haishan Long
- Animal Experiment Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Ming Chen
- Haikou Hospital of Traditional Chinese Medicine, Haikou, Hainan, China
| | - Zongbo Zhou
- Haikou Hospital of Traditional Chinese Medicine, Haikou, Hainan, China
| | - Qinlin Wu
- Haikou Hospital of Traditional Chinese Medicine, Haikou, Hainan, China
| | - Shijie Xu
- Guangzhou University of Chinese Medicine, Guangzhou, China,*Correspondence: Shijie Xu, ; Geng Li, ; Zhifu Lu,
| | - Geng Li
- Animal Experiment Center, Guangzhou University of Chinese Medicine, Guangzhou, China,*Correspondence: Shijie Xu, ; Geng Li, ; Zhifu Lu,
| | - Zhifu Lu
- Haikou Hospital of Traditional Chinese Medicine, Haikou, Hainan, China,*Correspondence: Shijie Xu, ; Geng Li, ; Zhifu Lu,
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Roman YM. Moving the Needle in Gout Management: The Role of Culture, Diet, Genetics, and Personalized Patient Care Practices. Nutrients 2022; 14:nu14173590. [PMID: 36079846 PMCID: PMC9460297 DOI: 10.3390/nu14173590] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 08/12/2022] [Accepted: 08/23/2022] [Indexed: 11/16/2022] Open
Abstract
Gout is a metabolic disorder, and one of the most common inflammatory arthritic conditions, caused by elevated serum urate (SU). Gout is globally rising, partly due to global dietary changes and the growing older adult population. Gout was known to affect people of high socioeconomic status. Currently, gout disproportionately affects specific population subgroups that share distinct racial and ethnic backgrounds. While genetics may predict SU levels, nongenetic factors, including diet, cultural traditions, and social determinants of health (SDOH), need to be evaluated to optimize patient treatment outcomes. This approach would allow clinicians to assess whether certain cultural norms, or some SDOH, could be contributing to their patient’s risk of developing gout or recurrent gout flares. A cultural assessment may inform the development of culturally tailored dietary recommendations for patients with gout. Causal and association studies investigating the interaction between diet, genetics, and gout, should be cautiously interpreted due to the lack of reproducibility in different racial groups. Optimal gout management could benefit from a multidisciplinary approach, involving pharmacists and nurses. While data on the effect of specific dietary recommendations on managing hyperuricemia and gout may be limited, counseling patients with gout on the role of a healthy diet to optimally control their gout flares and other comorbidities should be part of patient education. Future research investigating the role of a gene–diet interaction in the context of hyperuricemia and gout is needed. Optimal care for patients with gout needs to include a holistic assessment for gout and gout-related comorbidities. Additionally, addressing health beliefs and culture-specific lifestyle factors among patients with gout may reduce their risk of gout flare, improve adherence to urate-lowering therapy (ULT), and achieve health equity in gout management.
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Affiliation(s)
- Youssef M Roman
- Department of Pharmacotherapy and Outcome Science, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA
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6
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Gout and Diet: A Comprehensive Review of Mechanisms and Management. Nutrients 2022; 14:nu14173525. [PMID: 36079783 PMCID: PMC9459802 DOI: 10.3390/nu14173525] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 11/25/2022] Open
Abstract
Gout is well known as an inflammatory rheumatic disease presenting with arthritis and abnormal metabolism of uric acid. The recognition of diet-induced systemic metabolic pathways have provided new mechanistic insights and potential interventions on gout progression. However, the dietary recommendations for gouty patients generally focus on food categories, with few simultaneous considerations of nutritional factors and systemic metabolism. It is worthwhile to comprehensively review the mechanistic findings and potential interventions of diet-related nutrients against the development of gout, including purine metabolism, urate deposition, and gouty inflammation. Although piecemeal modifications of various nutrients often provide incomplete dietary recommendations, understanding the role of nutritional factors in gouty development can help patients choose their healthy diet based on personal preference and disease course. The combination of dietary management and medication may potentially achieve enhanced treatment effects, especially for severe patients. Therefore, the role of dietary and nutritional factors in the development of gout is systematically reviewed to propose dietary modification strategies for gout management by: (1) reducing nutritional risk factors against metabolic syndrome; (2) supplementing with beneficial nutrients to affect uric acid metabolism and gouty inflammation; and (3) considering nutritional modification combined with medication supplementation to decrease the frequency of gout flares.
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Zhao J, Guo S, Schrodi SJ, He D. Trends in the Contribution of Genetic Susceptibility Loci to Hyperuricemia and Gout and Associated Novel Mechanisms. Front Cell Dev Biol 2022; 10:937855. [PMID: 35813212 PMCID: PMC9259951 DOI: 10.3389/fcell.2022.937855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 05/31/2022] [Indexed: 11/14/2022] Open
Abstract
Hyperuricemia and gout are complex diseases mediated by genetic, epigenetic, and environmental exposure interactions. The incidence and medical burden of gout, an inflammatory arthritis caused by hyperuricemia, increase every year, significantly increasing the disease burden. Genetic factors play an essential role in the development of hyperuricemia and gout. Currently, the search on disease-associated genetic variants through large-scale genome-wide scans has primarily improved our understanding of this disease. However, most genome-wide association studies (GWASs) still focus on the basic level, whereas the biological mechanisms underlying the association between genetic variants and the disease are still far from well understood. Therefore, we summarized the latest hyperuricemia- and gout-associated genetic loci identified in the Global Biobank Meta-analysis Initiative (GBMI) and elucidated the comprehensive potential molecular mechanisms underlying the effects of these gene variants in hyperuricemia and gout based on genetic perspectives, in terms of mechanisms affecting uric acid excretion and reabsorption, lipid metabolism, glucose metabolism, and nod-like receptor pyrin domain 3 (NLRP3) inflammasome and inflammatory pathways. Finally, we summarized the potential effect of genetic variants on disease prognosis and drug efficacy. In conclusion, we expect that this summary will increase our understanding of the pathogenesis of hyperuricemia and gout, provide a theoretical basis for the innovative development of new clinical treatment options, and enhance the capabilities of precision medicine for hyperuricemia and gout treatment.
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Affiliation(s)
- Jianan Zhao
- Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Shicheng Guo
- Computation and Informatics in Biology and Medicine, University of WI-Madison, Madison, WI, United States
- Department of Medical Genetics, School of Medicine and Public Health, University of WI-Madison, Madison, WI, United States
| | - Steven J. Schrodi
- Computation and Informatics in Biology and Medicine, University of WI-Madison, Madison, WI, United States
- Department of Medical Genetics, School of Medicine and Public Health, University of WI-Madison, Madison, WI, United States
| | - Dongyi He
- Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, Shanghai, China
- Arthritis Institute of Integrated Traditional and Western Medicine, Shanghai Chinese Medicine Research Institute, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
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Affiliation(s)
- Natalie McCormick
- N. McCormick, H.K. Choi, MD, DrPH, Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital, and Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA, and Arthritis Research Canada, Vancouver, British Columbia, Canada
| | - Hyon K Choi
- N. McCormick, H.K. Choi, MD, DrPH, Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital, and Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA, and Arthritis Research Canada, Vancouver, British Columbia, Canada
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9
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Zhang Y, Yang R, Dove A, Li X, Yang H, Li S, Wang J, Li WD, Zhao H, Xu W, Wang Y. Healthy lifestyle counteracts the risk effect of genetic factors on incident gout: a large population-based longitudinal study. BMC Med 2022; 20:138. [PMID: 35484537 PMCID: PMC9052486 DOI: 10.1186/s12916-022-02341-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 03/14/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Risk genes linked to the development of gout have been identified, and lifestyle factors are related to gout risk. It remains unclear whether healthy lifestyle factors can mitigate the genetic risk of gout. Therefore, we aimed to explore whether and to what extent a healthy lifestyle can mitigate the risk of gout related to genetic factors. METHODS Within the UK Biobank, 416,481 gout-free participants (aged 37-74) were identified at baseline. Polygenic risk for gout was assessed and categorized as low (lowest tertile), middle (tertile 2), and high (highest tertile). Healthy lifestyle factors included no/moderate alcohol consumption, no smoking, physical activity, and a healthy diet. Participants were categorized into three groups according to their number of healthy lifestyle factors: unfavorable (0 or 1), intermediate (any 2), and favorable (3 or 4). Data were analyzed using Cox proportional hazard models. RESULTS Over the follow-up (median: 12.1 years), 6206 participants developed gout. Compared to low genetic risk, the hazard ratios (HRs) and 95% confidence intervals (CIs) of gout was 1.44 (1.35-1.54) for middle and 1.77 (1.66-1.89) for high genetic risk. The HRs (95% CIs) of gout were 0.63 (0.59-0.67) for a favorable lifestyle and 0.79 (0.75-0.85) for an intermediate lifestyle, compared to an unfavorable lifestyle. In joint effect analysis, compared to participants with low genetic predisposition and a favorable lifestyle, the HRs (95% CIs) of gout were 2.39 (2.12-2.70)/3.12 (2.79-3.52) in those with middle and high genetic predisposition plus unfavorable lifestyle profiles, and 1.53 (1.35-1.74)/1.98 (1.75-2.24) for those with middle and high genetic predisposition plus favorable lifestyle profiles, respectively. Moreover, compared to an unfavorable lifestyle, the HRs of gout related to a favorable lifestyle was 0.64 (95% CI, 0.56-0.73) for low genetic risk, 0.65 (95% CI, 0.58-0.72) for middle genetic risk, and 0.62 (95% CI, 0.57-0.69) for high genetic risk. There was a significant additive interaction between unfavorable lifestyle and high genetic risk on gout. CONCLUSIONS Healthy lifestyle was associated with a lower risk of gout and may attenuate the risk of gout related to genetic factors by almost a third.
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Affiliation(s)
- Yuan Zhang
- School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, 300070, Tianjin, China
| | - Rongrong Yang
- School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, 300070, Tianjin, China.,Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Abigail Dove
- Aging Research Center, Department of Neurobiology, Health Care Sciences and Society Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Xuerui Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongxi Yang
- School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, 300070, Tianjin, China
| | - Shu Li
- School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ju Wang
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China
| | - Wei-Dong Li
- Department of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, USA
| | - Weili Xu
- Aging Research Center, Department of Neurobiology, Health Care Sciences and Society Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, 300070, Tianjin, China. .,Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
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Association and interaction between dietary patterns and gene polymorphisms in Liangshan residents with hyperuricemia. Sci Rep 2022; 12:1356. [PMID: 35079028 PMCID: PMC8789849 DOI: 10.1038/s41598-021-04568-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 12/21/2021] [Indexed: 11/13/2022] Open
Abstract
Hyperuricemia (HUA) is associated with dietary and genetic factors. However, studies on dietary patterns and their interaction effect with genes on the risk of HUA are limited. We aimed to explore the association between dietary patterns and HUA, and dietary patterns—gene interactions on the risk of HUA. A population-based cross-sectional study was conducted in adults aged 18 and older in Liangshan Yi Autonomous Prefecture of China. Dietary consumption was collected using a standard Food Frequency Questionnaire. Vein blood samples were collected after overnight fasting, and DNA was extracted from peripheral blood leukocytes. Dietary patterns were derived using principal component and factor analysis. Of the 2646 participants, the prevalence of HUA was 26.8%. Three dietary patterns were classified. Of them, a dietary pattern with higher meat consumption (defined as meat-based) had the strongest association with HUA than a dietary pattern with plant-based or local special diet-based. A higher frequency of T allele at ABCG2 rs2231142 and SLC2A9 rs11722228 loci was observed in participants with HUA than those without HUA. An additive interaction of meat-based dietary pattern with rs2231142 locus was significantly associated with an increased risk of HUA. The relative excess risks of interaction, attributable proportion of interaction, and synergy index (S) were 0.482 (95% CI: 0.012–0.976), 0.203 (95% CI: 0.033–0.374), and 1.544 (95% CI: 1.012–2.355), respectively. In conclusion, a dietary pattern with meat-based was significantly associated with an increased risk of HUA. There was an additive interaction between a meat-based dietary pattern and the ABCG2 rs2231142 locus. Individuals with rs2231142 T allele were at higher risk of HUA than those with rs2231142 GG allele.
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Lee S, So MW, Lim DH, Kim MY, Lee JH, Kim SH. Maternal and Paternal Effects on Hyperuricemia: A Cross-Sectional Study from the 7th Korean National Health and Nutrition Examination Survey. Mod Rheumatol 2021; 32:1163-1169. [PMID: 34755191 DOI: 10.1093/mr/roab095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/30/2021] [Accepted: 10/25/2021] [Indexed: 11/12/2022]
Abstract
OBJECTIVE As heritability of hyperuricemia remains largely unexplained, we analyzed the association between parental and offspring hyperuricemia at the phenotype level. METHODS This cross-sectional study included data on 2373 offspring and both-parent pairs from the 7th Korean National Health and Nutrition Examination Survey. Logistic regression and generalized estimating equation analysis were used to evaluate the association between offspring and parental hyperuricemia adjusting for metabolic risk factors and alcohol intake. RESULTS Both maternal and paternal hyperuricemia were associated with offspring hyperuricemia among teenagers, but from age of 20 years, a strong association was observed between offspring and paternal, rather than, maternal hyperuricemia, and this could not be explained by metabolic risk factors such as obesity. However, there was positive interaction between offspring alcohol intake and parental hyperuricemia, and there was a stronger association between terciles of offspring alcohol intake and hyperuricemia in the presence of parental hyperuricemia: T1 (reference), T2 OR 1.1 (0.3-4.6), and T3 OR 3.3 (1.4-7.9) (P for trend 0.017) vs. T1 (reference), T2 OR 0.7 (0.3-1.9), and T3 OR 1.1 (0.6-2.2) (P for trend 0.974). CONCLUSION These results suggest gene-environment interaction, especially with respect to alcohol intake for hyperuricemia in Korean adults.
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Affiliation(s)
- Sunggun Lee
- Department of Internal Medicine, Inje University Haeundae Paik Hospital, Busan, Republic of Korea
| | - Min Wook So
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Gyeongnam, Republic of Korea
| | - Doo-Ho Lim
- Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Mi-Young Kim
- Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea
| | - Jae-Ha Lee
- Department of Internal Medicine, Inje University Haeundae Paik Hospital, Busan, Republic of Korea
| | - Seong-Ho Kim
- Department of Internal Medicine, Inje University Haeundae Paik Hospital, Busan, Republic of Korea
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Robinson PC, Frampton C, Phipps-Green A, Neogi T, Stamp L, Taylor W, Merriman TR, Dalbeth N. Longitudinal development of incident gout from low-normal baseline serum urate concentrations: individual participant data analysis. BMC Rheumatol 2021; 5:33. [PMID: 34452645 PMCID: PMC8399746 DOI: 10.1186/s41927-021-00204-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 05/21/2021] [Indexed: 11/15/2022] Open
Abstract
INTRODUCTION Elevated serum urate (SU) concentration is the central risk factor for the development of gout. The aim of this study was to examine the incidence of gout in people with low and normal SU levels (< 7.00 mg/dL). METHODS Longitudinal cohort data from the Atherosclerosis Risk in Communities Study (ARIC), Coronary Artery Risk Development in Young Adults Study (CARDIA), and both the Original and Offspring cohorts of the Framingham Heart Study (FHS) were used to determine incident gout by baseline SU over 3, 5, 10, 12 and 15 year periods. A Cox proportional hazards model with covariables of age, gender, ethnicity, and cohort was calculated to report the hazard ratios (HR) for incident gout. RESULTS The incidence of gout at 15 years for a baseline SU < 4.00 mg/dL was 0.59%, 4.00-4.49 mg/dL was 1.28%, 4.50-4.99 mg/dL was 0.86%, 5.00-5.49 mg/dL was 0.94%, 5.50-5.99 mg/dL was 1.52%, 6.00-6.49 mg/dL was 2.91%, 6.50-6.99 mg/dL was 3.2%, and > 7.00 mg/dL was 12.2%. In an adjusted Cox proportional hazards model, compared to the referent baseline SU < 4.00 mg/dL, there was a non-significant increase in incident gout for baseline SU bands between 4.00-5.49 mg/dL, whereas incident gout was significantly increased for SU 5.50-5.99 mg/dL (HR 2.60), 6.00-6.49 mg/dL (HR 3.70), 6.50-6.99 mg/dL (HR 5.24) and > 7.00 mg/dL (HR 18.62). CONCLUSION A baseline SU of 5.50 mg/dL or more is a risk factor for development of gout over 15 years. However, incident gout does occur over time in a small proportion of people with lower baseline SU levels.
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Affiliation(s)
- Philip C Robinson
- University of Queensland Faculty of Medicine, Herston, Herston, Queensland, Australia.
- Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Queensland, Australia.
| | | | | | - Tuhina Neogi
- Department of Medicine, Boston University School of Medicine, Boston, USA
| | - Lisa Stamp
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - William Taylor
- Department of Medicine, University of Otago, Wellington, New Zealand
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA
| | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
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Association between Mobile Phone Addiction Index and Sugar-Sweetened Food Intake in Medical College Students Stratified by Sex from Shanghai, China. Nutrients 2021; 13:nu13072256. [PMID: 34208862 PMCID: PMC8308374 DOI: 10.3390/nu13072256] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 06/21/2021] [Accepted: 06/29/2021] [Indexed: 01/01/2023] Open
Abstract
This study’s objective was to depict sugar-sweetened food (SSF) consumption in medical college students stratified by sex from Shanghai, China, and to explore the association between the Mobile Phone Addiction Index (MPAI) and SSF intake. The data were obtained from 1121 medical college students from the Fudan University, Shanghai, China, who took an online questionnaire investigation in December 2020. Data included demographics, the MPAI, the Nutrition Literacy Assessment Questionnaire (NLAQ), total and food expenditure per month, the International Physical Activity Questionnaire (IPAQ), and a food frequency questionnaire (carbonated beverages (CB), other sugar-based beverages (OSBB), sugar/chocolate). We evaluated the association between the MPAI and three types of SSF intake according to multivariate logistic regression analysis stratified by sex. The mean CB, OSBB, and sugar/chocolate intakes were, respectively, 65.66 mL/d, 74.20 mL/d, and 4.96 g/d in men and 30.42 mL/d, 71.48 mL/d, and 4.99 g/d in women. The MPAI was positively associated with SSF intake, regardless of sex. In men, the CB and OSBB odds ratios (ORs) were, respectively, 1.023 (95% CI: 1.004–1.042), 1.019 (95% CI: 1.001–1.038); and in women, the CB, OSBB, and sugar/chocolate ORs were, respectively, 1.026 (95% CI: 1.013–1.039), 1.020 (95% CI: 1.007–1.033), and 1.019 (95% CI: 1.006–1.032). Age, NLAQ, total expenditure, food expenditure, and total physical activity also were related to SSF intake. Age and the application capacity of the NLAQ were negatively associated with SSF intake, whereas comprehension capacity of the NLAQ, total and food expenditure, and total physical activity were positively associated with SSF intake. This study confirmed that SSF intake is widespread among medical college students from Shanghai, China, even if they have relatively high nutrition health literacy. From a public health perspective, it is necessary to reduce SSF intake in medical college students by decreasing the MPAI, controlling the total and food expenditure per month in high-consumption areas, and improving the application ability of the NLAQ. Further studies are needed to explore the MPAI and other potential factors that may influence SSF intake of college students by expanding the sample size of college students throughout China, and the causal association between them.
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Price CA, Medici V, Nunez MV, Lee V, Sigala DM, Benyam Y, Keim NL, Mason AE, Chen SY, Parenti M, Slupsky C, Epel ES, Havel PJ, Stanhope KL. A Pilot Study Comparing the Effects of Consuming 100% Orange Juice or Sucrose-Sweetened Beverage on Risk Factors for Cardiometabolic Disease in Women. Nutrients 2021; 13:760. [PMID: 33652807 PMCID: PMC7996959 DOI: 10.3390/nu13030760] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 01/30/2021] [Accepted: 02/01/2021] [Indexed: 12/16/2022] Open
Abstract
Overconsumption of sugar-sweetened beverages increases risk factors associated with cardiometabolic disease, in part due to hepatic fructose overload. However, it is not clear whether consumption of beverages containing fructose as naturally occurring sugar produces equivalent metabolic dysregulation as beverages containing added sugars. We compared the effects of consuming naturally-sweetened orange juice (OJ) or sucrose-sweetened beverages (sucrose-SB) for two weeks on risk factors for cardiometabolic disease. Healthy, overweight women (n = 20) were assigned to consume either 3 servings of 100% orange juice or sucrose-SB/day. We conducted 16-hour serial blood collections and 3-h oral glucose tolerance tests during a 30-h inpatient visit at baseline and after the 2-week diet intervention. The 16-h area under the curve (AUC) for uric acid increased in subjects consuming sucrose-SB compared with subjects consuming OJ. Unlike sucrose-SB, OJ did not significantly increase fasting or postprandial lipoproteins. Consumption of both beverages resulted in reductions in the Matsuda insulin sensitivity index (OJ: -0.40 ± 0.18, p = 0.04 within group; sucrose-SB: -1.0 ± 0.38, p = 0.006 within group; p = 0.53 between groups). Findings from this pilot study suggest that consumption of OJ at levels above the current dietary guidelines for sugar intake does not increase plasma uric acid concentrations compared with sucrose-SB, but appears to lead to comparable decreases of insulin sensitivity.
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Affiliation(s)
- Candice Allister Price
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA; (V.L.); (D.M.S.); (Y.B.); (P.J.H.); (K.L.S.)
| | - Valentina Medici
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine (V.M.), University of California Davis, Sacramento, CA 95817, USA;
| | - Marinelle V. Nunez
- Department of Nutrition, University of California Davis, Davis, CA 95616, USA; (M.V.N.); (N.L.K.); (S.-Y.C.); (M.P.); (C.S.)
| | - Vivien Lee
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA; (V.L.); (D.M.S.); (Y.B.); (P.J.H.); (K.L.S.)
| | - Desiree M. Sigala
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA; (V.L.); (D.M.S.); (Y.B.); (P.J.H.); (K.L.S.)
| | - Yanet Benyam
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA; (V.L.); (D.M.S.); (Y.B.); (P.J.H.); (K.L.S.)
| | - Nancy L. Keim
- Department of Nutrition, University of California Davis, Davis, CA 95616, USA; (M.V.N.); (N.L.K.); (S.-Y.C.); (M.P.); (C.S.)
- Western Human Nutrition Research Center, Agricultural Research Service, USDA, Davis, CA 95616, USA
| | - Ashley E. Mason
- Osher Center for Integrative Medicine, School of Medicine, University of California San Francisco, San Francisco, CA 94155, USA;
| | - Shin-Yu Chen
- Department of Nutrition, University of California Davis, Davis, CA 95616, USA; (M.V.N.); (N.L.K.); (S.-Y.C.); (M.P.); (C.S.)
| | - Mariana Parenti
- Department of Nutrition, University of California Davis, Davis, CA 95616, USA; (M.V.N.); (N.L.K.); (S.-Y.C.); (M.P.); (C.S.)
| | - Carolyn Slupsky
- Department of Nutrition, University of California Davis, Davis, CA 95616, USA; (M.V.N.); (N.L.K.); (S.-Y.C.); (M.P.); (C.S.)
| | - Elissa S. Epel
- Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA;
| | - Peter J. Havel
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA; (V.L.); (D.M.S.); (Y.B.); (P.J.H.); (K.L.S.)
- Department of Nutrition, University of California Davis, Davis, CA 95616, USA; (M.V.N.); (N.L.K.); (S.-Y.C.); (M.P.); (C.S.)
| | - Kimber L. Stanhope
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA; (V.L.); (D.M.S.); (Y.B.); (P.J.H.); (K.L.S.)
- Basic Sciences, Touro University of California, Vallejo, CA 94592, USA
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Topless RKG, Major TJ, Florez JC, Hirschhorn JN, Cadzow M, Dalbeth N, Stamp LK, Wilcox PL, Reynolds RJ, Cole JB, Merriman TR. The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect. Arthritis Res Ther 2021; 23:75. [PMID: 33663556 PMCID: PMC7931603 DOI: 10.1186/s13075-021-02444-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 02/11/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Prevention of hyperuricaemia (HU) is critical to the prevention of gout. Understanding causal relationships and relative contributions of various risk factors to hyperuricemia is therefore important in the prevention of gout. Here, we use attributable fraction to compare the relative contribution of genetic, dietary, urate-lowering therapy (ULT) and other exposures to HU. We use Mendelian randomisation to test for the causality of diet in urate levels. METHODS Four European-ancestry sample sets, three from the general population (n = 419,060) and one of people with gout (n = 6781) were derived from the Database of Genotypes and Phenotypes (ARIC, FHS, CARDIA, CHS) and UK Biobank. Dichotomised exposures to diet, genetic risk variants, BMI, alcohol, diuretic treatment, sex and age were used to calculate adjusted population and average attributable fractions (PAF/AAF) for HU (≥0.42 mmol/L [≥7 mg/dL]). Exposure to ULT was also assessed in the gout cohort. Two sample Mendelian randomisation was done in the UK Biobank using dietary pattern-associated genetic variants as exposure and serum urate levels as outcome. RESULTS Adherence to dietary recommendations, BMI (< 25 kg/m2), and absence of the SLC2A9 rs12498742 urate-raising allele produced PAFs for HU of 20 to 24%, 59 to 69%, and 57 to 64%, respectively, in the three non-gout cohorts. In the gout cohort, diet, BMI, SLC2A9 rs12498742 and ULT PAFs for HU were 12%, 49%, 48%, and 63%, respectively. Mendelian randomisation demonstrated weak causal effects of four dietary habits on serum urate levels (e.g. preferentially drinking skim milk increased urate, β = 0.047 mmol/L, P = 3.78 × 10-8). These effects were mediated by BMI, and they were not significant (P ≥ 0.06) in multivariable models assessing the BMI-independent effect of diet on urate. CONCLUSIONS Diet has a relatively minor role in determining serum urate levels and HU. In gout, the use of ULT was the largest attributable fraction tested for HU.
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Affiliation(s)
- Ruth K. G. Topless
- grid.29980.3a0000 0004 1936 7830Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Tanya J. Major
- grid.29980.3a0000 0004 1936 7830Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Jose C. Florez
- grid.66859.34Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Medicine, Harvard Medical School, Boston, MA USA
| | - Joel N. Hirschhorn
- grid.66859.34Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.2515.30000 0004 0378 8438Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children’s Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Genetics, Harvard Medical School, Boston, MA USA
| | - Murray Cadzow
- grid.29980.3a0000 0004 1936 7830Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Nicola Dalbeth
- grid.9654.e0000 0004 0372 3343Department of Medicine, Faculty of Medical Sciences, University of Auckland, Auckland, New Zealand
| | - Lisa K. Stamp
- grid.29980.3a0000 0004 1936 7830Department of Medicine, University of Otago Christchurch, Christchurch, New Zealand
| | - Philip L. Wilcox
- grid.29980.3a0000 0004 1936 7830Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand
| | - Richard J. Reynolds
- grid.265892.20000000106344187Division of Clinical Immunology and Rheumatology, University of Alabama Birmingham, Birmingham, AL USA
| | - Joanne B. Cole
- grid.66859.34Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA ,grid.2515.30000 0004 0378 8438Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children’s Hospital, Boston, MA USA
| | - Tony R. Merriman
- grid.29980.3a0000 0004 1936 7830Department of Biochemistry, University of Otago, Dunedin, New Zealand ,grid.265892.20000000106344187Division of Clinical Immunology and Rheumatology, University of Alabama Birmingham, Birmingham, AL USA
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Reis LN, Borfe L, Brand C, Franke SIR, Renner JDP, Gaya AR, Brazo-Sayavera J, Reuter CP. Food Consumption is Associated with Hyperuricemia in Boys. High Blood Press Cardiovasc Prev 2020; 27:409-415. [PMID: 32772309 DOI: 10.1007/s40292-020-00406-w] [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] [Received: 06/25/2020] [Accepted: 08/01/2020] [Indexed: 01/22/2023] Open
Abstract
INTRODUCTION Hyperuricemia is related to health issues among children and adolescents, once the uric acid concentration is associated with metabolic syndrome, hypertension, insulin resistance, obesity, and dyslipidemia. However, few studies are addressing uric acid levels and food uptake in this age group. AIM To verify the association between food consumption and uric acid in children and adolescents. METHODS This is a cross-sectional study developed with 2335 children and adolescents of both genders aged 6-17 years old. Blood collection was performed after 12 h of fasting. Uric acid values were classified according to tertiles, in which the highest tertile was considered as hyperuricemia. Food consumption was evaluated by weekly consumption frequency questionnaire. Pearson correlation and logistic binary regressions were used for statistical analysis. Models were adjusted for age, systolic blood pressure, body mass index (BMI), and skin color/ethnicity. RESULTS It was found an association between red meat consumption and hyperuricemia only in boys in the crude model (OR = 1.56; 95% CI 1.12; 2.18). Also, there was an association between pasta (OR = 1.52; 95% CI 1.11; 2.10) with hyperuricemia in boys, when adjusted age, systolic blood pressure, BMI, and skin color/ethnicity. CONCLUSION The knowledge of food patterns which are predisposing factors for the increase in serum uric acid levels is important for the implementation of strategies and public health policies for health promotion among children and adolescents.
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Affiliation(s)
- Luiza Naujorks Reis
- Graduate Program in Human Movement Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Leticia Borfe
- Graduate Program in Human Movement Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Caroline Brand
- Graduate Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, Rio Grande do Sul, Brazil
| | - Silvia Isabel Rech Franke
- Graduate Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, Rio Grande do Sul, Brazil
| | - Jane Dagmar Pollo Renner
- Graduate Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, Rio Grande do Sul, Brazil
| | - Anelise Reis Gaya
- Graduate Program in Human Movement Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Cézane Priscila Reuter
- Graduate Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, Rio Grande do Sul, Brazil.
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Zhang T, Bian S, Gu Y, Meng G, Zhang Q, Liu L, Wu H, Zhang S, Wang Y, Wang X, Cao X, Li H, Liu Y, Li X, Wang X, Sun S, Wang X, Zhou M, Jiao H, Jia Q, Song K, Wu XH, Wu Y, Niu K. Sugar-containing carbonated beverages consumption is associated with hyperuricemia in general adults: A cross-sectional study. Nutr Metab Cardiovasc Dis 2020; 30:1645-1652. [PMID: 32669242 DOI: 10.1016/j.numecd.2020.05.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 04/22/2020] [Accepted: 05/19/2020] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND AIMS Research evidence supports a positive link between sugar-containing soft beverages and hyperuricemia. However, data thus far are mostly from Caucasian populations. And in sugar-containing soft beverages overall, sugar-containing carbonated beverages are purchased most often. Therefore, we investigated whether the high consumption of sugar-containing carbonated beverages was associated with the prevalence of hyperuricemia among adults in China. METHODS AND RESULTS A cross-sectional study was conducted with 25,507 adults (13,013 men and 12,494 women) in Tianjin, China. Sugar-containing carbonated beverages intake was assessed by a validated semi-quantitative food frequency questionnaire. Hyperuricemia was defined as serum uric acid levels ≥7.0 mg/dL in men and ≥ 6 mg/dL in women. The association between carbonated beverages consumption and hyperuricemia was assessed by multiple logistic regression analysis. The prevalence of hyperuricemia in men and women was 23.4% and 8.2%, respectively. After adjustments for potential confounding factors, the odds ratios (95% confidence interval) for hyperuricemia across sugar-containing carbonated beverages consumption were 1.00 (reference) for almost never, 1.18 (1.05, 1.32) for <1-3 cups/week, 1.49 (1.25, 1.77) for ≥4 cups/week in men (P for trend < 0.005) and 1.11 (0.91, 1.34) for <1-3 cups/week (P for trend = 0.27), 1.70 (1.23, 2.31) for ≥4 cups/week in women (P for trend < 0.001), respectively. CONCLUSIONS This cross-sectional survey demonstrated that increased consumption of sugar-containing carbonated beverages is associated with hyperuricemia among adults in China. Restricted sugar-containing carbonated beverages intake might be beneficial to the prevention of hyperuricemia in the general population.
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Affiliation(s)
- Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shanshan Bian
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xingqi Cao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yunyun Liu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoyue Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaohe Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xing Wang
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Ming Zhou
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Huanli Jiao
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Qiyu Jia
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiao-H Wu
- College of Pharmacy, Tianjin Medical University, Tianjin 300070, China
| | - Yuntang Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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18
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Better outcomes for patients with gout. Inflammopharmacology 2020; 28:1395-1400. [PMID: 32095979 DOI: 10.1007/s10787-020-00694-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 02/11/2020] [Indexed: 12/27/2022]
Abstract
Gout is increasing in prevalence despite effective pharmacotherapies. Barriers to effective management are largely educational deficiencies. Sufferers, usually men, need to understand more about gout, especially that maintaining serum urate below 0.36 mmol/L will eliminate recurrent attacks. Also, of great importance is appreciating that sub-optimal adherence to urate-lowering therapy (ULT) will result in a return of attacks. Prescribers also need to understand that acute attacks are likely to occur in the first few months of urate-lowering therapy (ULT), but these can be mitigated by commencing with a dose of ULT reflective of renal function and escalating the dose slowly, every 2-5 weeks until target serum urate is achieved. Prophylaxis against acute attacks over the initial 6 months period of ULT can be enhanced further with concomitant colchicine or nonsteroidal anti-inflammatory drugs (NSAIDs).Gout is largely managed in primary care. Rates of adherence to ULT are 50% or less, worse than most other chronic illnesses. Efforts at educating primary care physicians to, firstly, manage gout effectively and, secondly, to educate their gout patients sufficiently have not been successful. Allied health practitioners, such as nurses, working with prescribers in primary care settings and given the mandate to educate and manage patients with gout, have been spectacularly effective. However, this approach is resource intensive. 'Personalised' eHealth interventions show promise as an alternative strategy, notably in improving adherence to ULT.Numerous applications for smart phones (apps) are now available to assist people with chronic health conditions. Their design needs to accommodate the barriers and enablers perceived by patients to maintaining adherence to prescribed therapies. Personalised feedback of serum urate may represent an important enabler of adherence to ULT in the case of gout.Harnessing mobile apps to support patients managing their chronic illnesses represents an important opportunity to enhance health outcomes. Rigorous, patient-centred and driven development is critical. These tools also require careful evaluation for effectiveness.
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Abstract
PURPOSE OF REVIEW Many novel genetic associations in the field of hyperuricaemia and gout have been described recently. This review discusses advances in gout genetics and their potential clinical applications. RECENT FINDINGS Genome-wide association studies have identified approximately 30 serum urate-associated loci, some of which represent targets for drug development in gout. Some genes implicated in initiating the inflammatory response to deposited crystals in gout flares have also been described. In addition, genetic studies have been used to understand the link between hyperuricaemia and other comorbidities, particularly cardiometabolic diseases. ABCG2 has been established as a key genetic determinant in the onset of gout, and plays a role in the progression and severity of disease. Recent pharmacogenetic studies have also demonstrated the association between ABCG2 and poor response to allopurinol, and the link between HLA-B58:01 genotype and adverse drug reactions to allopurinol. SUMMARY Advances in gout genetics have provided important molecular insights into disease pathogenesis, better characterized the pharmacogenetics of allopurinol, and raised the possibility of using genetic testing to provide personalized treatment for patients. Prospective studies are now needed to clarify whether genetic testing in gout provides further benefit when added to established clinical management.
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Murphy R, Gamble GD, House M, Pool B, Horne A, Merriman TR, Dalbeth N. Greater insulin response to acute fructose ingestion among Māori and Pacific people compared to European people living in Aotearoa New Zealand. Intern Med J 2019; 49:196-202. [PMID: 30298971 DOI: 10.1111/imj.14135] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 08/29/2018] [Accepted: 09/18/2018] [Indexed: 11/28/2022]
Abstract
BACKGROUND Fructose consumption has been linked with insulin resistance, obesity and diabetes, which are more prevalent in those of Māori or Pacific ethnicity compared to New Zealand European. AIM To determine whether the acute effects of fructose consumption on serum glucose, insulin, lipids and C-reactive protein differs according to body mass index (BMI) and/or ethnicity. METHODS Participants of Māori (n = 25), Pacific (n = 26) or New Zealand European (n = 25) ethnicity consumed a 64 g fructose/16 g glucose solution. Changes in lipids, glucose, insulin and C-reactive protein were analysed using mixed models for repeated measures. RESULTS After adjustment for age and gender, those with higher BMI had a higher glucose (P = 0.0064) and insulin (P = 0.0007) response than those with lower BMI. Those of Māori or Pacific ethnicity had similar glucose levels (P = 0.077) to those of New Zealand European ethnicity but higher insulin responses (P = 0.0005), which remained after additional adjustment for BMI (P = 0.001). Reported sugar-sweetened beverages (SSB) intake was higher among Māori and Pacific than New Zealand European (median 1.0 vs 0.0 SSB/day P = 0.002). CONCLUSION Even after adjustment for BMI, those of Māori and Pacific ethnicity have a significantly higher insulin response to fructose than New Zealand Europeans. Higher habitual SSB intake may be a contributing factor.
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Affiliation(s)
- Rinki Murphy
- Department of Medicine, University of Auckland, Auckland, New Zealand.,Maurice Wilkins Centre of Biodiscovery, Dunedin, New Zealand
| | - Greg D Gamble
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Meaghan House
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Bregina Pool
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Anne Horne
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Tony R Merriman
- Maurice Wilkins Centre of Biodiscovery, Dunedin, New Zealand.,Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
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21
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Hou R, Panda C, Voruganti VS. Heterogeneity in Metabolic Responses to Dietary Fructose. Front Genet 2019; 10:945. [PMID: 31737029 PMCID: PMC6834945 DOI: 10.3389/fgene.2019.00945] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 09/05/2019] [Indexed: 12/30/2022] Open
Abstract
Consumption of fructose has dramatically increased in past few decades in children and adults. Increasing evidence indicates that added sugars (particularly fructose) have adverse effects on metabolism and lead to numerous cardiometabolic diseases. Although both fructose and glucose are components of sucrose and high fructose corn syrup, the sugars have different metabolic fates in the human body and the effects of fructose on health are thought to be more adverse than glucose. Studies have also shown that the metabolic effects of fructose differ between individuals based on their genetic background, as individuals with specific SNPs and risk alleles seem to be more susceptible to the adverse metabolic effects of fructose. The current review discusses the metabolic effects of fructose on key complex diseases and discusses the heterogeneity in metabolic responses to dietary fructose in humans.
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Affiliation(s)
- Ruixue Hou
- Department of Nutrition and UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, United States
| | - Chinmayee Panda
- Department of Nutrition and UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, United States
| | - V Saroja Voruganti
- Department of Nutrition and UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, United States
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22
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Mantzari E, Pechey R, Codling S, Sexton O, Hollands GJ, Marteau TM. The impact of 'on-pack' pictorial health warning labels and calorie information labels on drink choice: A laboratory experiment. Appetite 2019; 145:104484. [PMID: 31626833 PMCID: PMC8161725 DOI: 10.1016/j.appet.2019.104484] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Revised: 08/20/2019] [Accepted: 10/06/2019] [Indexed: 02/04/2023]
Abstract
Sugar-sweetened beverages (SSBs) are one of the largest added sugar sources to diets in the UK and USA. Health warning labels reduce hypothetical selection of SSBs in online studies but uncertainty surrounds their impact on selection of drinks for consumption. Calorie information labels are also promising but their impact on SSB selection is unclear. This laboratory study assessed the impact on SSB selection of ‘on-pack’ labels placed directly on physical products: i.a pictorial health warning label depicting an adverse health consequence of excess sugar consumption; and ii.calorie information labels. Potential moderation of any effects by socio-economic position (SEP) was also examined. Participants - 401 adults, resident in England, approximately half of whom were of lower SEP and half of higher SEP, were asked to select a drink from a range of two non-SSBs and four SSBs (subsequent to completing a separate study assessing the effects of food availability on snack selection). The drinks included ‘on-pack’ labels according to randomisation: Group 1: pictorial health warning label on SSBs; Group 2: calorie information label on all drinks; Group 3: no additional label. The primary outcome was the proportion of participants selecting an SSB. Compared to not having additional labels (39%), neither the pictorial health warning label (40%) nor calorie information labels (43%) affected the proportion of participants selecting an SSB. Lower SEP participants (45%) were more likely to select an SSB compared to those of higher SEP (35%), but SEP did not moderate the impact of labels on drink selection. In conclusion, pictorial health warning labels may be less effective in reducing SSB selection in lab-based compared with online settings, or depending on label design and placement. Findings suggest that effects might be absent when choosing from real products with actual ‘on-pack’ labels, positioned in a ‘realistic’ manner. Field studies are needed to further assess the impact of ‘on-pack’ SSB warning labels in real-world settings to rule out the possible contribution of study design factors.
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Affiliation(s)
- Eleni Mantzari
- Behaviour and Health Research Unit, University of Cambridge, Forvie Site, Robinson Way, CB2 0SR, Cambridge, UK.
| | - Rachel Pechey
- Behaviour and Health Research Unit, University of Cambridge, Forvie Site, Robinson Way, CB2 0SR, Cambridge, UK.
| | - Saphsa Codling
- Behaviour and Health Research Unit, University of Cambridge, Forvie Site, Robinson Way, CB2 0SR, Cambridge, UK.
| | - Olivia Sexton
- Behaviour and Health Research Unit, University of Cambridge, Forvie Site, Robinson Way, CB2 0SR, Cambridge, UK.
| | - Gareth J Hollands
- Behaviour and Health Research Unit, University of Cambridge, Forvie Site, Robinson Way, CB2 0SR, Cambridge, UK.
| | - Theresa M Marteau
- Behaviour and Health Research Unit, University of Cambridge, Forvie Site, Robinson Way, CB2 0SR, Cambridge, UK.
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23
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Cho J, Dalbeth N, Petrov MS. Relationship between Gout and Diabetes Mellitus after Acute Pancreatitis: A Nationwide Cohort Study. J Rheumatol 2019; 47:917-923. [PMID: 31615915 DOI: 10.3899/jrheum.190487] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/24/2019] [Indexed: 12/25/2022]
Abstract
OBJECTIVE After acute pancreatitis, individuals often have low-grade inflammation, and subsequently develop metabolic sequelae such as post-pancreatitis diabetes mellitus (PPDM). Although numerous studies have investigated the relationship between gout and type 2 diabetes, little is known about the relationship between gout and PPDM. The aim was to investigate the associations between gout and PPDM. METHODS Using nationwide pharmaceutical dispensing data linked to hospital discharge data in New Zealand, gout and PPDM were identified among individuals after first episode of acute pancreatitis between January 1, 2007, and December 31, 2015. Multivariable Cox regression analyses were conducted, adjusting for age, sex, ethnicity, social deprivation index, alcohol consumption, tobacco smoking, comorbidities, medications (glucocorticoids, statins, and estrogens), and characteristics of acute pancreatitis. RESULTS A total of 10,117 individuals were included in the analysis of risk for gout and 9471 in the analysis of risk for PPDM. PPDM was significantly associated with a higher risk of gout in the overall cohort (adjusted HR 1.88, 95% CI 1.15-3.06) and women (2.72, 95% CI 1.31-5.65), but not in men (1.42, 95% CI 0.73-2.78). Preexisting gout was significantly associated with a higher risk of PPDM in the overall cohort (adjusted HR 1.58, 95% CI 1.04-2.41) and women (2.66, 95% CI 1.29-5.49), but not in men (1.31, 95% CI 0.78-2.20). CONCLUSION The relationship between gout and PPDM is bidirectional in the post-pancreatitis setting. A history of gout is a risk factor of PPDM, particularly in women.
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Affiliation(s)
- Jaelim Cho
- From the School of Medicine, University of Auckland, Auckland, New Zealand.,J. Cho, MD, MPH, School of Medicine, University of Auckland; N. Dalbeth, MBChB, MD, School of Medicine, University of Auckland; M.S. Petrov, MD, MPH, PhD, School of Medicine, University of Auckland
| | - Nicola Dalbeth
- From the School of Medicine, University of Auckland, Auckland, New Zealand.,J. Cho, MD, MPH, School of Medicine, University of Auckland; N. Dalbeth, MBChB, MD, School of Medicine, University of Auckland; M.S. Petrov, MD, MPH, PhD, School of Medicine, University of Auckland
| | - Maxim S Petrov
- From the School of Medicine, University of Auckland, Auckland, New Zealand. .,J. Cho, MD, MPH, School of Medicine, University of Auckland; N. Dalbeth, MBChB, MD, School of Medicine, University of Auckland; M.S. Petrov, MD, MPH, PhD, School of Medicine, University of Auckland.
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24
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Major TJ, Dalbeth N, Stahl EA, Merriman TR. An update on the genetics of hyperuricaemia and gout. Nat Rev Rheumatol 2019; 14:341-353. [PMID: 29740155 DOI: 10.1038/s41584-018-0004-x] [Citation(s) in RCA: 149] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
A central aspect of the pathogenesis of gout is elevated urate concentrations, which lead to the formation of monosodium urate crystals. The clinical features of gout result from an individual's immune response to these deposited crystals. Genome-wide association studies (GWAS) have confirmed the importance of urate excretion in the control of serum urate levels and the risk of gout and have identified the kidneys, the gut and the liver as sites of urate regulation. The genetic contribution to the progression from hyperuricaemia to gout remains relatively poorly understood, although genes encoding proteins that are involved in the NLRP3 (NOD-, LRR- and pyrin domain-containing 3) inflammasome pathway play a part. Genome-wide and targeted sequencing is beginning to identify uncommon population-specific variants that are associated with urate levels and gout. Mendelian randomization studies using urate-associated genetic variants as unconfounded surrogates for lifelong urate exposure have not supported claims that urate is causal for metabolic conditions that are comorbidities of hyperuricaemia and gout. Genetic studies have also identified genetic variants that predict responsiveness to therapies (for example, urate-lowering drugs) for treatment of hyperuricaemia. Future research should focus on large GWAS (that include asymptomatic hyperuricaemic individuals) and on increasing the use of whole-genome sequencing data to identify uncommon genetic variants with increased penetrance that might provide opportunities for clinical translation.
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Affiliation(s)
- Tanya J Major
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Eli A Stahl
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand.
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25
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Rivera-Paredez B, Macías-Kauffer L, Fernandez-Lopez JC, Villalobos-Comparán M, Martinez-Aguilar MM, de la Cruz-Montoya A, Ramírez-Salazar EG, Villamil-Ramírez H, Quiterio M, Ramírez-Palacios P, Romero-Hidalgo S, Villarreal-Molina MT, Denova-Gutiérrez E, Flores YN, Canizales-Quinteros S, Salmerón J, Velázquez-Cruz R. Influence of Genetic and Non-Genetic Risk Factors for Serum Uric Acid Levels and Hyperuricemia in Mexicans. Nutrients 2019; 11:nu11061336. [PMID: 31207883 PMCID: PMC6627998 DOI: 10.3390/nu11061336] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 05/29/2019] [Accepted: 06/10/2019] [Indexed: 12/21/2022] Open
Abstract
Risk of hyperuricemia is modified by genetic and environmental factors. Our aim was to identify factors associated with serum uric acid levels and hyperuricemia in Mexicans. A pilot Genome-wide association study GWAS was performed in a subgroup of participants (n = 411) from the Health Workers Cohort Study (HWCS). Single nucleotide polymorphisms (SNPs) associated with serum uric acid levels were validated in all the HWCS participants (n = 1939) and replicated in independent children (n = 1080) and adult (n = 1073) case-control studies. The meta-analysis of the whole HWCS and replication samples identified three SLC2A9 SNPs: rs1014290 (p = 2.3 × 10−64), rs3775948 (p = 8.2 × 10−64) and rs11722228 (p = 1.1 × 10−17); and an ABCG2 missense SNP, rs2231142 (p = 1.0 × 10−18). Among the non-genetic factors identified, the visceral adiposity index, smoking, the metabolic syndrome and its components (waist circumference, blood pressure, glucose and hyperlipidemia) were associated with increased serum uric acid levels and hyperuricemia (p < 0.05). Among the female HWCS participants, the odds ratio for hyperuricemia was 1.24 (95% CI, 1.01–1.53) per unit increase in soft drink consumption. As reported in other studies, our findings indicate that diet, adiposity and genetic variation contribute to the elevated prevalence of hyperuricemia in Mexico.
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Affiliation(s)
- Berenice Rivera-Paredez
- Centro de Investigación en Políticas, Población y Salud de la Facultad de Medicina de la Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
| | - Luis Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | | | | | - Mayeli M Martinez-Aguilar
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Aldo de la Cruz-Montoya
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Eric G Ramírez-Salazar
- Consejo Nacional de Ciencia y Tecnología (CONACYT)-Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Manuel Quiterio
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública. Cuernavaca, Morelos 62100, Mexico.
| | - Paula Ramírez-Palacios
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Instituto Mexicano del Seguro Social (IMSS), Cuernavaca, Morelos 62000, Mexico.
| | - Sandra Romero-Hidalgo
- Consorcio Genómica Computacional, Instituto Nacional de Medicina Genómica, Ciudad de México 14610, Mexico.
| | | | - Edgar Denova-Gutiérrez
- Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública, Cuernavaca, Morelos 62100, Mexico.
| | - Yvonne N Flores
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Instituto Mexicano del Seguro Social (IMSS), Cuernavaca, Morelos 62000, Mexico.
- UCLA Department of Health Policy and Management, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA 90001, USA.
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Jorge Salmerón
- Centro de Investigación en Políticas, Población y Salud de la Facultad de Medicina de la Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
| | - Rafael Velázquez-Cruz
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
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Mirmiran R, Bush T, Cerra MM, Grambart S, Kauschinger E, Younger M, Zychowicz M. Joint Clinical Consensus Statement of the American College of Foot and Ankle Surgeons® and the American Association of Nurse Practitioners®: Etiology, Diagnosis, and Treatment Consensus for Gouty Arthritis of the Foot and Ankle. J Foot Ankle Surg 2019; 57:1207-1217. [PMID: 30368431 DOI: 10.1053/j.jfas.2018.08.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Gout is a condition that commonly affects the foot and ankle, and practitioners who treat these structures should be aware of the methods to diagnose and treat this form of arthritis. Practitioners also need to recognize extra-articular manifestations of the disease. Although the acutely red, hot, swollen joint is a common presentation, chronic tophaceous gout can be associated with pain, nodule formation, and cutaneous compromise. Since the underlying causes that lead to excessive monosodium urate deposition may be treatable, early and accurate diagnosis can be very beneficial and may even prevent articular degeneration.
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Affiliation(s)
- Roya Mirmiran
- Foot and Ankle Surgeon, Department of Surgery, Sutter Medical Group, Sacramento, CA.
| | - Tom Bush
- Associate Professor and Assistant Dean for Practice, University of North Carolina at Chapel Hill Schools of Nursing and Medicine, Chapel Hill, NC
| | - Michele M Cerra
- Director of the Duke NP/PA Rheumatology Fellowship Program & Faculty, Department of Medicine, Duke University School of Medicine, NC
| | - Sean Grambart
- Foot and Ankle Surgeon, Carle Physician Group, Department of Surgery, Champaign, IL
| | - Elaine Kauschinger
- Clinical Assistant Professor, Duke University School of Nursing, Durham, NC
| | - Melissa Younger
- Podiatric Research Fellow, Penn Presbyterian Medical Center, Philadelphia, PA
| | - Michael Zychowicz
- Professor and Director of MSN Program & Lead Faculty in Orthopedic NP Specialty, Duke University School of Nursing, Durham, NC
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27
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Roman YM. The Daniel K. Inouye College of Pharmacy Scripts: Perspectives on the Epidemiology of Gout and Hyperuricemia. HAWAI'I JOURNAL OF MEDICINE & PUBLIC HEALTH : A JOURNAL OF ASIA PACIFIC MEDICINE & PUBLIC HEALTH 2019; 78:71-76. [PMID: 30766768 PMCID: PMC6369891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Gout is the most common inflammatory arthritic condition affecting more men than women. Hyperuricemia and the deposition of urate crystals into the joints are the hallmarks of gout. The prevalence of gout and hyperuricemia is rising in the United States and world-wide possibly due to the aging population, comorbidities, and other lifestyle factors. Gout and serum uric acid (SUA) levels are highly heritable, underscoring the role of genetics on disease risk and possibly the racial disparities in gout prevalence. However, high consumption of high fructose corn syrup, alcohol, select dietary lifestyles, and use of diuretics are associated with higher SUA levels and increased risk for developing gout. Adopting healthy diet and lifestyle modifications can lower SUA levels. Nonetheless, diet-based approaches for the management of gout should remain a secondary approach to urate lowering therapy.
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Affiliation(s)
- Youssef M Roman
- Daniel K. Inouye College of Pharmacy, University of Hawai'i at Hilo, Hilo, HI
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28
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Mirmiran R, Bush T, Cerra MM, Grambart S, Kauschinger E, Younger M, Zychowicz M. Joint Clinical Consensus Statement of the American College of Foot and Ankle Surgeons® and the American Association of Nurse Practitioners™: Etiology, Diagnosis, and Treatment Consensus for Gouty Arthritis of the Foot and Ankle. J Nurse Pract 2018. [DOI: 10.1016/j.nurpra.2018.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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29
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Mantzari E, Vasiljevic M, Turney I, Pilling M, Marteau T. Impact of warning labels on sugar-sweetened beverages on parental selection: An online experimental study. Prev Med Rep 2018; 12:259-267. [PMID: 30406003 PMCID: PMC6215029 DOI: 10.1016/j.pmedr.2018.10.016] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 10/12/2018] [Accepted: 10/21/2018] [Indexed: 12/12/2022] Open
Abstract
Sugar-sweetened beverages (SSBs) are one of the largest added sugar sources to diets in the UK and USA, particularly among young people. Warning labels, including calorie information labels, could reduce SSB consumption but uncertainty surrounds the labels that are most effective. This study assessed the impact of labels containing (a) each of two image-based warnings and (b) calorie information, singly and together, on SSB selection by parents of 11-16-year-olds living in the UK. Using a 3 (disease image, sugar content image, no image) × 2 (calorie information, no calorie information) between-subjects experimental design, 2002 participants were randomised to see beverages with one of six labels and selected one for their child to consume. The primary outcome was the proportion of participants selecting an SSB. Data were collected in December 2017. Logistic regressions showed SSB selection was lower when labels contained an image-based warning (35%), compared to not having any label (49%) or just calorie information (43.5%). The disease image lowered selection more than the sugar image (32% vs 40.5%). Providing calorie information with the disease image had no additional impact on selection (33%) but enhanced the impact of the sugar image (36%). Image-based warning labels discourage SSB selection by parents for their children. Images depicting health consequences of excess sugar consumption have larger effects than those depicting sugar content. Calorie information does not add to the effect of the former but does to that of the latter. Field studies are needed to assess the impact of SSB warning labels in real-life settings.
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Affiliation(s)
- Eleni Mantzari
- Behaviour and Health Research Unit, University of Cambridge, UK
| | | | | | - Mark Pilling
- Behaviour and Health Research Unit, University of Cambridge, UK
| | - Theresa Marteau
- Behaviour and Health Research Unit, University of Cambridge, UK
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30
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Ebrahimpour-Koujan S, Saneei P, Larijani B, Esmaillzadeh A. Consumption of sugar sweetened beverages and dietary fructose in relation to risk of gout and hyperuricemia: a systematic review and meta-analysis. Crit Rev Food Sci Nutr 2018; 60:1-10. [PMID: 30277800 DOI: 10.1080/10408398.2018.1503155] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background: Findings on the association of sugar sweetened beverages (SSB) and fructose intakes with gout and hyperuricemia have been conflicting.Objective: We aimed to perform a systematic review and meta-analysis on studies that examined the association of SSB and fructose consumption with gout and hyperuricemia in adults.Methods: We searched PubMed, Scopus and Google Scholar up to Aug 2017 for all relevant published papers assessing SSB and fructose intakes and risk of gout and hyperuricemia. After excluding non-relevant papers, 10 studies remained in our systematic. Meta-analysis on SSB consumption and risk of gout was done on three effect sizes from cohort studies and five effect sizes from case-control studies. For risk of hyperuricemia, the meta-analysis was done on six effect sizes from cross-sectional studies. All analyses were performed on ORs or RRs.Results: We found an overall significant positive association between SSB consumption and risk of gout in both cohort (summary effect size: 1.35; 95% CI: 1.18-1.55) and case-control studies (summary effect size: 1.33; 95% CI: 1.06-1.66). Meta-analysis on cross-sectional studies revealed that SSB consumption was associated with 35% greater odds of hyperuricemia (summary effect size: 1.35; 95% CI: 1.19-1.52). No evidence of between-study heterogeneity as well as publication bias was found. Although the studies on fructose intake and risk of gout and hyperuricemia were included in our systematic review, we did not perform met-analysis on these studies due to insufficient number of publications.Conclusion: We found that SSB consumption was significantly associated with increased risk of gout and hyperuricemia in adult population. Further studies are needed to examine the association between dietary fructose intake and risk of gout and hyepruricemia.
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Affiliation(s)
- Soraiya Ebrahimpour-Koujan
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Parvane Saneei
- Department of Community Nutrition, School of Nutrition and Food Science Isfahan University of Medical Sciences, Isfahan, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Esmaillzadeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.,Department of Community Nutrition, School of Nutrition and Food Science Isfahan University of Medical Sciences, Isfahan, Iran.,Obesity and Eating Habits Research Center Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Matisoo-Smith E, Gosling AL. Walking backwards into the future: the need for a holistic evolutionary approach in Pacific health research. Ann Hum Biol 2018; 45:175-187. [PMID: 29877149 DOI: 10.1080/03014460.2018.1448889] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
CONTEXT The Pacific region has had a complex human history. It has been subject to multiple major human dispersal and colonisation events, including some of the earliest Out-of-Africa migrations, the so-called Austronesian expansion of people out of Island Southeast Asia, and the more recent arrival of Europeans. Despite models of island isolation, evidence suggests significant levels of interconnectedness that vary in direction and frequency over time. The Pacific Ocean covers a vast area and its islands provide an array of different physical environments with variable pathogen loads and subsistence opportunities. These diverse environments likely caused Pacific peoples to adapt (both genetically and culturally) in unique ways. Differences in genetic background, in combination with adaptation, likely affect their susceptibility to non-communicable diseases. OBJECTIVES Here we provide an overview of some of the key issues in the natural and human history of the Pacific region which are likely to impact human health. We argue that understanding the evolutionary and cultural history of Pacific peoples is essential for the generation of testable hypotheses surrounding potential causes of elevated disease susceptibility among Pacific peoples.
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Affiliation(s)
| | - Anna L Gosling
- a Department of Anatomy , University of Otago , Dunedin , New Zealand.,b Department of Biochemistry , University of Otago , Dunedin , New Zealand
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Merriman TR, Wilcox PL. Cardio-metabolic disease genetic risk factors among Māori and Pacific Island people in Aotearoa New Zealand: current state of knowledge and future directions. Ann Hum Biol 2018; 45:202-214. [PMID: 29877153 DOI: 10.1080/03014460.2018.1461929] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
CONTEXT Cardio-metabolic conditions in Aotearoa New Zealand (NZ) Māori and non-indigenous Polynesian (Pacific) populations have been increasing in prevalence and severity, especially over the last two decades. OBJECTIVES To assess knowledge on genetic and non-genetic risk factors for cardio-metabolic disease in the Māori and Pacific populations residing in Aotearoa NZ by a semi-systematic review of the PubMed database. To outline possible future directions in genetic epidemiological research with Māori and Pacific communities. RESULTS There have been few studies to confirm that risk factors in other populations also associate with cardio-metabolic conditions in Māori and Pacific populations. Such data are important when interventions are considered. Genetic studies have been sporadic, with no genome-wide association studies done. CONCLUSIONS Biomedical research with Māori and Pacific communities is important to reduce the prevalence and impact of the cardio-metabolic diseases, as precision medicine is implemented in other Aotearoa NZ populations using overseas findings. Genuine engagement with Māori and Pacific communities is needed to ensure positive outcomes for genetic studies, from data collection through to analysis and dissemination. Important is building trust, understanding by researchers of fundamental cultural concepts and implementing protocols that minimise risks and maximise benefits. Approaches that utilise information such as genealogical information and whole genome sequencing technologies will provide new insights into cardio-metabolic conditions-and new interventions for affected individuals and families.
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Affiliation(s)
- Tony R Merriman
- a Biochemistry Department , University of Otago , Dunedin , Aotearoa , New Zealand
| | - Phillip L Wilcox
- b Department of Mathematics and Statistics , University of Otago , Dunedin , Aotearoa , New Zealand
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Dietary factors are associated with serum uric acid trajectory differentially by race among urban adults. Br J Nutr 2018; 120:935-945. [PMID: 30168404 DOI: 10.1017/s0007114518002118] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Serum uric acid (SUA), a causative agent for gout, is linked to dietary factors, perhaps differentially by race. Cross-sectional (SUAbase, i.e. baseline SUA) and longitudinal (SUArate; i.e. annual rate of change in SUA) associations of SUA with diet were evaluated across race and sex-race groups, in a large prospective cohort study of urban adults. Of 3720 African American (AA) and White urban adults participating in the Healthy Aging in Neighborhoods of Diversity across the Life Span study, longitudinal data (2004-2013, k=1·7 repeats, follow-up, 4·64 (sd 0·93) years) on n 2138 participants were used. The main outcome consisted of up to two repeated measures on SUA. Exposures included the dietary factors such as 'added sugar', 'alcoholic beverages', 'red meat', 'total fish', 'legumes', 'total dairy product', 'caffeine', 'vitamin C' and a composite measure termed 'dietary urate index'. Mixed-effects linear regression models were conducted, stratifying by race and by race×sex. A positive association between legume intake and SUArate was restricted to AA, whereas alcohol intake was positively associated with SUAbase overall without racial differences. Added sugars were directly related to SUAbase among White men (P<0·05 for race×sex interaction), whereas dairy product intake was linked with slower SUArate among AA women, unlike among White women. Nevertheless, dairy product intake was associated with a lower SUAbase among Whites. Finally, the dietary urate index was positively associated with both SUAbase and SUArate, particularly among AA. In sum, race and sex interactions with dietary intakes of added sugars, dairy products and legumes were detected in determining SUA. Similar studies are needed to replicate these findings.
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Abstract
Genome-wide association studies (GWAS) have identified nearly 30 loci associated with urate concentrations that also influence the subsequent risk of gout. The ABCG2 Q141 K variant is highly likely to be causal and results in internalization of ABCG2, which can be rescued by drugs. Three other GWAS loci contain uric acid transporter genes, which are also highly likely to be causal. However identification of causal genes at other urate loci is challenging. Finally, relatively little is known about the genetic control of progression from hyperuricemia to gout. Only 4 small GWAS have been published for gout.
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Affiliation(s)
- Tony Merriman
- Department of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin 9054, New Zealand.
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Büsing F, Hägele FA, Nas A, Döbert LV, Fricker A, Dörner E, Podlesny D, Aschoff J, Pöhnl T, Schweiggert R, Fricke WF, Carle R, Bosy-Westphal A. High intake of orange juice and cola differently affects metabolic risk in healthy subjects. Clin Nutr 2018; 38:812-819. [PMID: 29571566 DOI: 10.1016/j.clnu.2018.02.028] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 02/03/2018] [Accepted: 02/19/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND Higher consumption of sugar-containing beverages has been associated with an elevated risk of type 2 diabetes and gout. Whether this equally applies to cola with an unhealthy image and orange juice (OJ) having a healthy image remains unknown. METHODS In order to investigate whether OJ and cola differently affect metabolic risk 26 healthy adults (24.7 ± 3.2 y; BMI 23.2 ± 3.3 kg/m2) participated in a 2 × 2-wk intervention and consumed either OJ or caffeine-free cola (20% Ereq as sugar from beverages) in-between 3 meals/d at ad libitum energy intake. Glycemic control, uric acid metabolism and gut microbiota were assessed as outcome parameters. RESULTS Fecal microbiota, body weight, basal and OGTT-derived insulin sensitivity remained unchanged in both intervention periods. Levels of uric acid were normal at baseline and did not change with 2-wk cola consumption (-0.03 ± 0.67 mg/dL; p > 0.05), whereas they decreased with OJ intervention (-0.43 ± 0.56 mg/dL; p < 0.01) due to increased uric acid excretion (+130.2 ± 130.0 mg/d; p < 0.001). Compared to OJ, consumption of cola led to a higher daylong glycemia (ΔiAUC: 36.9 ± 83.2; p < 0.05), an increase in glucose variability (ΔMAGE-Index: 0.29 ± 0.44; p < 0.05), and a lower 24 h-insulin secretion (ΔC-peptide excretion: -31.76 ± 38.61 μg/d; p < 0.001), which may be explained by a decrease in serum potassium levels (-0.11 ± 0.24 mmol/L; p < 0.05). CONCLUSION Despite its sugar content, regular consumption of large amounts of OJ do not increase the risk of gout but may even contribute to lower uric acid levels. The etiology of impaired insulin secretion with cola consumption needs to be further investigated.
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Affiliation(s)
- Franziska Büsing
- Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany; Institute of Human Nutrition and Food Science, University of Kiel, Germany
| | - Franziska A Hägele
- Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany; Institute of Human Nutrition and Food Science, University of Kiel, Germany
| | - Alessa Nas
- Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany
| | - Laura-Verena Döbert
- Institute of Biological Chemistry and Nutritional Science, University of Hohenheim, Stuttgart, Germany
| | - Alena Fricker
- Institute of Biological Chemistry and Nutritional Science, University of Hohenheim, Stuttgart, Germany
| | - Elisabeth Dörner
- Institute of Biological Chemistry and Nutritional Science, University of Hohenheim, Stuttgart, Germany
| | - Daniel Podlesny
- Institute of Biological Chemistry and Nutritional Science, University of Hohenheim, Stuttgart, Germany
| | - Julian Aschoff
- Institute of Food Science and Biotechnology, University of Hohenheim, Stuttgart, Germany
| | - Tobias Pöhnl
- Institute of Food Science and Biotechnology, University of Hohenheim, Stuttgart, Germany
| | - Ralf Schweiggert
- Institute of Food Science and Biotechnology, University of Hohenheim, Stuttgart, Germany
| | - W Florian Fricke
- Institute of Biological Chemistry and Nutritional Science, University of Hohenheim, Stuttgart, Germany
| | - Reinhold Carle
- Institute of Food Science and Biotechnology, University of Hohenheim, Stuttgart, Germany; Biological Science Department, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Anja Bosy-Westphal
- Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany; Institute of Human Nutrition and Food Science, University of Kiel, Germany.
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Johnson RJ, Bakris GL, Borghi C, Chonchol MB, Feldman D, Lanaspa MA, Merriman TR, Moe OW, Mount DB, Sanchez Lozada LG, Stahl E, Weiner DE, Chertow GM. Hyperuricemia, Acute and Chronic Kidney Disease, Hypertension, and Cardiovascular Disease: Report of a Scientific Workshop Organized by the National Kidney Foundation. Am J Kidney Dis 2018; 71:851-865. [PMID: 29496260 DOI: 10.1053/j.ajkd.2017.12.009] [Citation(s) in RCA: 326] [Impact Index Per Article: 54.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 12/03/2017] [Indexed: 12/21/2022]
Abstract
Urate is a cause of gout, kidney stones, and acute kidney injury from tumor lysis syndrome, but its relationship to kidney disease, cardiovascular disease, and diabetes remains controversial. A scientific workshop organized by the National Kidney Foundation was held in September 2016 to review current evidence. Cell culture studies and animal models suggest that elevated serum urate concentrations can contribute to kidney disease, hypertension, and metabolic syndrome. Epidemiologic evidence also supports elevated serum urate concentrations as a risk factor for the development of kidney disease, hypertension, and diabetes, but differences in methodologies and inpacts on serum urate concentrations by even subtle changes in kidney function render conclusions uncertain. Mendelian randomization studies generally do not support a causal role of serum urate in kidney disease, hypertension, or diabetes, although interpretation is complicated by nonhomogeneous populations, a failure to consider environmental interactions, and a lack of understanding of how the genetic polymorphisms affect biological mechanisms related to urate. Although several small clinical trials suggest benefits of urate-lowering therapies on kidney function, blood pressure, and insulin resistance, others have been negative, with many trials having design limitations and insufficient power. Thus, whether uric acid has a causal role in kidney and cardiovascular diseases requires further study.
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Affiliation(s)
| | | | | | | | | | | | | | - Orson W Moe
- University of Texas Southwestern Medical Center, Dallas, TX
| | - David B Mount
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | - Eli Stahl
- Mount Sinai School of Medicine, New York City, NY
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Dalbeth N, Allan J, Gamble GD, Phipps-Green A, Flynn TJ, Mihov B, Horne A, Doughty R, Stamp LK, Merriman TR. Influence of genetic variants on renal uric acid handling in response to frusemide: an acute intervention study. RMD Open 2017; 3:e000424. [PMID: 28951782 PMCID: PMC5611711 DOI: 10.1136/rmdopen-2016-000424] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 03/10/2017] [Accepted: 03/11/2017] [Indexed: 11/21/2022] Open
Abstract
Objectives Genetic variation in the renal urate transporters SLC2A9 (GLUT9) and SLC22A11 (OAT4) has been reported to interact with diuretics to increase the risk of developing gout. The aim of this study was to determine whether variation in SLC2A9 or SLC22A11 influences acute renal handling of uric acid in response to frusemide. Methods Following an overnight fast, healthy participants (n=100) attended a study visit with oral intake of 40 mg frusemide. Blood and urine samples were obtained at baseline and 30, 60, 120 and 180 min after frusemide intake. The primary end point was change in fractional excretion of uric acid (FEUA). Results Following intake of frusemide, FEUA initially increased (mean (SD) change from baseline +1.9% (3.0%) at 60 min, p<0.001) and then decreased (mean (SD) change from baseline −1.5% (2.1%) at 180 min, p<0.001). A very small increase in serum urate was observed over the study period (mean (SD) change from baseline 0.007 (0.01) mmol/L at 180 min, p<0.001). The presence of the urate-lowering and gout-protective alleles for SLC2A9 (rs11942223 and rs13129697) and SLC22A11 (rs207826) did not significantly alter the FEUA following a frusemide load. At both 60 and 180 min, change in fractional excretion of sodium was independently associated with change in FEUA (standardised β≥0.40, p<0.001). Conclusions The tested variants in SLC2A9 and SLC22A11 do not influence acute changes in renal handling of uric acid in response to frusemide. Trial registration number ACTRN12614000871640; Results.
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Affiliation(s)
- Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Jordyn Allan
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Gregory D Gamble
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | | | - Tanya J Flynn
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Borislav Mihov
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Anne Horne
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Robert Doughty
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Lisa K Stamp
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
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Rasheed H, Stamp LK, Dalbeth N, Merriman TR. Interaction of the GCKR and A1CF loci with alcohol consumption to influence the risk of gout. Arthritis Res Ther 2017; 19:161. [PMID: 28679452 PMCID: PMC5499049 DOI: 10.1186/s13075-017-1369-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Accepted: 06/13/2017] [Indexed: 12/13/2022] Open
Abstract
Background Some gout-associated loci interact with dietary exposures to influence outcome. The aim of this study was to systematically investigate interactions between alcohol exposure and urate-associated loci in gout. Methods A total of 2792 New Zealand European and Polynesian (Māori or Pacific) people with or without gout were genotyped for 29 urate-associated genetic variants and tested for a departure from multiplicative interaction with alcohol exposure in the risk of gout. Publicly available data from 6892 European subjects were used to test for a departure from multiplicative interaction between specific loci and alcohol exposure for the risk of hyperuricemia (HU). Multivariate adjusted logistic and linear regression was done, including an interaction term. Results Interaction of any alcohol exposure with GCKR (rs780094) and A1CF (rs10821905) influenced the risk of gout in Europeans (interaction term 0.28, P = 1.5 × 10−4; interaction term 0.29, P = 1.4 × 10−4, respectively). At A1CF, alcohol exposure suppressed the gout risk conferred by the A-positive genotype. At GCKR, alcohol exposure eliminated the genetic effect on gout. In the Polynesian sample set, there was no experiment-wide evidence for interaction with alcohol in the risk of gout (all P > 8.6 × 10−4). However, at GCKR, there was nominal evidence for an interaction in a direction consistent the European observation (interaction term 0.62, P = 0.05). There was no evidence for an interaction of A1CF or GCKR with alcohol exposure in determining HU. Conclusions These data support the hypothesis that alcohol influences the risk of gout via glucose and apolipoprotein metabolism. In the absence of alcohol exposure, genetic variants in the GCKR and A1CF genes have a stronger role in gout. Electronic supplementary material The online version of this article (doi:10.1186/s13075-017-1369-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Humaira Rasheed
- Biochemistry Department, University of Otago, 710 Cumberland Street, Box 56, Dunedin, 9054, New Zealand.,University of Engineering and Technology, Lahore, Pakistan
| | - Lisa K Stamp
- Department of Medicine, University of Otago, Christchurch, PO Box 4345, Christchurch, New Zealand
| | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Tony R Merriman
- Biochemistry Department, University of Otago, 710 Cumberland Street, Box 56, Dunedin, 9054, New Zealand.
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Abstract
Even though, Hippocrates recognized gout as an affection of older men and a product of high living long back in 5th century BC, this painful condition promises to accompany humanity to the 21st century. The incidence is progressively rising and females are also affected in the modern era. There are also regional and ethnic variations in the incidence, the genetics of which is being studied. The recommended best therapy for the acute attacks and long term prophylaxis has improved remarkably in the recent years. However, patients are often treated inadequately and risk factors for their disease are not well explored in daily practice. Although well designed long term studies of current and newer treatment are welcomed, educating doctors especially the primary care physicians who manage majority of gout cases, in optimizing the currently available management options would improve the present care.
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Affiliation(s)
- Binoy J Paul
- Department of General Medicine, KMCT Medical College, Calicut, Kerala, India
| | - Reeta James
- Department of General Medicine, KMCT Medical College, Calicut, Kerala, India
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Dalbeth N, Stamp LK, Merriman TR. The genetics of gout: towards personalised medicine? BMC Med 2017; 15:108. [PMID: 28566086 PMCID: PMC5452604 DOI: 10.1186/s12916-017-0878-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 05/16/2017] [Indexed: 12/18/2022] Open
Abstract
Over the last decade, there have been major advances in the understanding of the genetic basis of hyperuricaemia and gout as well as of the pharmacogenetics of urate-lowering therapy. Key findings include the reporting of 28 urate-associated loci, the discovery that ABCG2 plays a central role on extra-renal uric acid excretion, the identification of genes associated with development of gout in the context of hyperuricaemia, recognition that ABCG2 variants influence allopurinol response, and the impact of HLA-B*5801 testing in reducing the prevalence of allopurinol hypersensitivity in high-risk populations. These advances, together with the reducing cost of whole genome sequencing, mean that integrated personalised medicine approaches may soon be possible in clinical practice. Genetic data may inform assessment of disease prognosis in individuals with hyperuricaemia or established gout, personalised lifestyle advice, selection and dosing of urate-lowering therapy, and prevention of serious medication adverse effects. In this article, we summarise the discoveries from genome-wide association studies and discuss the potential for translation of these findings into clinical practice.
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Affiliation(s)
- Nicola Dalbeth
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
| | - Lisa K Stamp
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
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Genetic risk scores, sex and dietary factors interact to alter serum uric acid trajectory among African-American urban adults. Br J Nutr 2017; 117:686-697. [PMID: 28345493 DOI: 10.1017/s0007114517000411] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Serum uric acid (SUA), a causative agent for gout among others, is affected by both genetic and dietary factors, perhaps differentially by sex. We evaluated cross-sectional (SUAbase) and longitudinal (SUArate) associations of SUA with a genetic risk score (GRS), diet and sex. We then tested the interactive effect of GRS, diet and sex on SUA. Longitudinal data on 766 African-American urban adults participating in the Healthy Aging in Neighborhood of Diversity across the Lifespan study were used. In all, three GRS for SUA were created from known SUA-associated SNP (GRSbase (n 12 SNP), GRSrate (n 3 SNP) and GRStotal (n 15 SNP)). Dietary factors included added sugar, total alcohol, red meat, total fish, legumes, dairy products, caffeine and vitamin C. Mixed-effects linear regression models were conducted. SUAbase was higher among men compared with that among women, and increased with GRStotal tertiles. SUArate was positively associated with legume intake in women (γ=+0·14; 95 % CI +0·06, +0·22, P=0·001) and inversely related to dairy product intake in both sexes combined (γ=-0·042; 95 % CI -0·075, -0·009), P=0·010). SUAbase was directly linked to alcohol consumption among women (γ=+0·154; 95 % CI +0·046, +0·262, P=0·005). GRSrate was linearly related to SUArate only among men. Legume consumption was also positively associated with SUArate within the GRStotal's lowest tertile. Among women, a synergistic interaction was observed between GRSrate and red meat intake in association with SUArate. Among men, a synergistic interaction between low vitamin C and genetic risk was found. In sum, sex-diet, sex-gene and gene-diet interactions were detected in determining SUA. Further similar studies are needed to replicate our findings.
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Haslam DE, McKeown NM, Herman MA, Lichtenstein AH, Dashti HS. Interactions between Genetics and Sugar-Sweetened Beverage Consumption on Health Outcomes: A Review of Gene-Diet Interaction Studies. Front Endocrinol (Lausanne) 2017; 8:368. [PMID: 29375475 PMCID: PMC5767076 DOI: 10.3389/fendo.2017.00368] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Accepted: 12/15/2017] [Indexed: 01/23/2023] Open
Abstract
The consumption of sugar-sweetened beverages (SSB), which includes soft drinks, fruit drinks, and other energy drinks, is associated with excess energy intake and increased risk for chronic metabolic disease among children and adults. Thus, reducing SSB consumption is an important strategy to prevent the onset of chronic diseases, and achieve and maintain a healthy body weight. The mechanisms by which excessive SSB consumption may contribute to complex chronic diseases may partially depend on an individual's genetic predisposition. Gene-SSB interaction investigations, either limited to single genetic loci or including multiple genetic variants, aim to use genomic information to define mechanistic pathways linking added sugar consumption from SSBs to those complex diseases. The purpose of this review is to summarize the available gene-SSB interaction studies investigating the relationships between genetics, SSB consumption, and various health outcomes. Current evidence suggests there are genetic predispositions for an association between SSB intake and adiposity; evidence for a genetic predisposition between SSB and type 2 diabetes or cardiovascular disease is limited.
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Affiliation(s)
- Danielle E. Haslam
- Nutritional Epidemiology Program, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Nicola M. McKeown
- Nutritional Epidemiology Program, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Mark A. Herman
- Division Of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, NC, United States
| | - Alice H. Lichtenstein
- Cardiovascular Nutrition Laboratory, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Hassan S. Dashti
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States
- *Correspondence: Hassan S. Dashti,
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Kaneko C, Ogura J, Sasaki S, Okamoto K, Kobayashi M, Kuwayama K, Narumi K, Iseki K. Fructose suppresses uric acid excretion to the intestinal lumen as a result of the induction of oxidative stress by NADPH oxidase activation. Biochim Biophys Acta Gen Subj 2016; 1861:559-566. [PMID: 27913188 DOI: 10.1016/j.bbagen.2016.11.042] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Revised: 11/08/2016] [Accepted: 11/28/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUND A high intake of fructose increases the risk for hyperuricemia. It has been reported that long-term fructose consumption suppressed renal uric acid excretion and increased serum uric acid level. However, the effect of single administration of fructose on excretion of uric acid has not been clarified. METHODS We used male Wistar rats, which were orally administered fructose (5g/kg). Those rats were used in each experiment at 12h after administration. RESULTS Single administration of fructose suppressed the function of ileal uric acid excretion and had no effect on the function of renal uric acid excretion. Breast cancer resistance protein (BCRP) predominantly contributes to intestinal excretion of uric acid as an active homodimer. Single administration of fructose decreased BCRP homodimer level in the ileum. Moreover, diphenyleneiodonium (DPI), an inhibitor of nicotinamide adenine dinucleotide phosphate (NADPH) oxidase (Nox), recovered the suppression of the function of ileal uric acid excretion and the Bcrp homodimer level in the ileum of rats that received single administration of fructose. CONCLUSIONS Single administration of fructose decreases in BCRP homodimer level, resulting in the suppression the function of ileal uric acid excretion. The suppression of the function of ileal uric acid excretion by single administration of fructose is caused by the activation of Nox. The results of our study provide a new insight into the mechanism of fructose-induced hyperuricemia.
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Affiliation(s)
- Chihiro Kaneko
- Laboratory of Clinical Pharmaceutics & Therapeutics, Division of Pharmasciences, Faculty of Pharmaceutical Sciences, Hokkaido University, Kita-12-jo, Nishi-6-chome, Kita-ku, Sapporo 060-0812, Japan
| | - Jiro Ogura
- Laboratory of Clinical Pharmaceutics & Therapeutics, Division of Pharmasciences, Faculty of Pharmaceutical Sciences, Hokkaido University, Kita-12-jo, Nishi-6-chome, Kita-ku, Sapporo 060-0812, Japan
| | - Shunichi Sasaki
- Laboratory of Clinical Pharmaceutics & Therapeutics, Division of Pharmasciences, Faculty of Pharmaceutical Sciences, Hokkaido University, Kita-12-jo, Nishi-6-chome, Kita-ku, Sapporo 060-0812, Japan
| | - Keisuke Okamoto
- Laboratory of Clinical Pharmaceutics & Therapeutics, Division of Pharmasciences, Faculty of Pharmaceutical Sciences, Hokkaido University, Kita-12-jo, Nishi-6-chome, Kita-ku, Sapporo 060-0812, Japan
| | - Masaki Kobayashi
- Department of Pharmacy, Hokkaido University Hospital, Kita-14-jo, Nishi-5-chome, Kita-ku, Sapporo 060-8648, Japan.
| | - Kaori Kuwayama
- Laboratory of Clinical Pharmaceutics & Therapeutics, Division of Pharmasciences, Faculty of Pharmaceutical Sciences, Hokkaido University, Kita-12-jo, Nishi-6-chome, Kita-ku, Sapporo 060-0812, Japan
| | - Katsuya Narumi
- Laboratory of Clinical Pharmaceutics & Therapeutics, Division of Pharmasciences, Faculty of Pharmaceutical Sciences, Hokkaido University, Kita-12-jo, Nishi-6-chome, Kita-ku, Sapporo 060-0812, Japan
| | - Ken Iseki
- Laboratory of Clinical Pharmaceutics & Therapeutics, Division of Pharmasciences, Faculty of Pharmaceutical Sciences, Hokkaido University, Kita-12-jo, Nishi-6-chome, Kita-ku, Sapporo 060-0812, Japan; Department of Pharmacy, Hokkaido University Hospital, Kita-14-jo, Nishi-5-chome, Kita-ku, Sapporo 060-8648, Japan.
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Abstract
Gout is a chronic disease of deposition of monosodium urate crystals, which form in the presence of increased urate concentrations. Although environmental factors contribute to hyperuricaemia, renal and gut excretion of urate is central to regulation of serum urate, and genetic factors are important. Activation of the NLRP3 inflammasome and release of interleukin 1β have key roles in initiation of acute gout flares. A "treat to target serum urate" approach is essential for effective gout management; long-term lowering of serum urate to less than 360 μmol/L leads to crystal dissolution and ultimately to suppression of flares. An allopurinol dose-escalation strategy is frequently effective for achieving treatment targets, and several new urate-lowering drugs are also available. Worldwide, rates of initiation and continuation of urate-lowering therapy are very low, and, consequently, achievement of serum urate targets is infrequent. Strategies to improve quality of gout care are needed.
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Affiliation(s)
- Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand.
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Lisa K Stamp
- Department of Medicine, University of Otago, Christchurch, New Zealand
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Jamnik J, Rehman S, Blanco Mejia S, de Souza RJ, Khan TA, Leiter LA, Wolever TMS, Kendall CWC, Jenkins DJA, Sievenpiper JL. Fructose intake and risk of gout and hyperuricemia: a systematic review and meta-analysis of prospective cohort studies. BMJ Open 2016; 6:e013191. [PMID: 27697882 PMCID: PMC5073537 DOI: 10.1136/bmjopen-2016-013191] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The prevalence of hyperuricemia and gout has increased in recent decades. The role of dietary fructose in the development of these conditions remains unclear. OBJECTIVE To conduct a systematic review and meta-analysis of prospective cohort studies investigating the association fructose consumption with incident gout and hyperuricemia. DESIGN MEDLINE, EMBASE and the Cochrane Library were searched (through September 2015). We included prospective cohort studies that assessed fructose consumption and incident gout or hyperuricemia. 2 independent reviewers extracted relevant data and assessed study quality using the Newcastle-Ottawa Scale. We pooled natural-log transformed risk ratios (RRs) using the generic inverse variance method. Interstudy heterogeneity was assessed (Cochran Q statistic) and quantified (I2 statistic). The overall quality of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS 2 studies involving 125 299 participants and 1533 cases of incident gout assessed the association between fructose consumption and incident gout over an average of 17 years of follow-up. No eligible studies assessed incident hyperuricemia as an outcome. Fructose consumption was associated with an increase in the risk of gout (RR=1.62, 95% CI 1.28 to 2.03, p<0.0001) with no evidence of interstudy heterogeneity (I2=0%, p=0.33) when comparing the highest (>11.8% to >11.9% total energy) and lowest (<6.9% to <7.5% total energy) quantiles of consumption. LIMITATIONS Despite a dose-response gradient, the overall quality of evidence as assessed by GRADE was low, due to indirectness. There were only two prospective cohort studies involving predominantly white health professionals that assessed incident gout, and none assessed hyperuricemia. CONCLUSIONS Fructose consumption was associated with an increased risk of developing gout in predominantly white health professionals. More prospective studies are necessary to understand better the role of fructose and its food sources in the development of gout and hyperuricemia. PROTOCOL REGISTRATION NUMBER NCT01608620.
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Affiliation(s)
- Joseph Jamnik
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sara Rehman
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Tauseef A Khan
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Thomas M S Wolever
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
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Robinson PC, Choi HK, Do R, Merriman TR. Insight into rheumatological cause and effect through the use of Mendelian randomization. Nat Rev Rheumatol 2016; 12:486-96. [PMID: 27411906 DOI: 10.1038/nrrheum.2016.102] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Establishing causality of risk factors is important to determine the pathogenetic mechanisms underlying rheumatic diseases, and can facilitate the design of interventions to improve care for affected patients. The presence of unmeasured confounders, as well as reverse causation, is a challenge to the assignment of causality in observational studies. Alleles for genetic variants are randomly inherited at meiosis. Mendelian randomization analysis uses these genetic variants to test whether a particular risk factor is causal for a disease outcome. In this Review of the Mendelian randomization technique, we discuss published results and potential applications in rheumatology, as well as the general clinical utility and limitations of the approach.
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Affiliation(s)
- Philip C Robinson
- School of Medicine, Faculty of Medicine and Biomedical Sciences, University of Queensland, Herston Road, Brisbane, Queensland 4006, Australia.,Department of Rheumatology, Royal Brisbane and Women's Hospital, Butterfield St and Bowen Bridge Rd, Brisbane, Queensland 4029, Australia
| | - Hyon K Choi
- Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, 55 Fruit Street, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Ron Do
- Genetics and Genome Sciences, Mount Sinai School of Medicine, 1 Gustav L. Levy Place, New York 10029-5674, USA
| | - Tony R Merriman
- Department of Biochemistry, 710 Cumberland Street, University of Otago, Dunedin 9054, New Zealand
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Abstract
PURPOSE OF REVIEW This article presents recent epidemiologic contributions focusing on gout-related conditions, especially if controversial, to find plausible, despite hypothetical, mechanistic explanations from the clinician perspective. RECENT FINDINGS The prevalence of gout is increasing, but it is only partially clear that the incidence may be increasing as well. Direct associations of gout with increased risk of diabetes, black races, neurodegenerative disorders, and sugar-enriched foods have been recently questioned. A negative association with smoking has been reported, and new evidence shows that the impact of diet may be independent of obesity. Kidney disease and diuretics have been confirmed to be associated with gout, whereas new data on aging and menopause have come to challenge apparently established disease mechanisms. Regarding treatments, increase in bladder cancer associated with chronic allopurinol use has been reported, and the positive effect of urate-lowering treatment on cardiovascular events has been contested. SUMMARY Epidemiological data in gout-related conditions are still evolving and claim for future cohort or intervention studies to prove causality. Controversies in epidemiological results fertilize the ground for studies to prove mechanisms and causality and provides a unique opportunity for clinical intervention to improve outcomes, especially with regard to treatments.
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Rasheed H, McKinney C, Stamp LK, Dalbeth N, Topless RK, Day R, Kannangara D, Williams K, Smith M, Janssen M, Jansen TL, Joosten LA, Radstake TR, Riches PL, Tausche AK, Lioté F, Lu L, Stahl EA, Choi HK, So A, Merriman TR. The Toll-Like Receptor 4 (TLR4) Variant rs2149356 and Risk of Gout in European and Polynesian Sample Sets. PLoS One 2016; 11:e0147939. [PMID: 26808548 PMCID: PMC4726773 DOI: 10.1371/journal.pone.0147939] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Accepted: 01/11/2016] [Indexed: 01/31/2023] Open
Abstract
Deposition of crystallized monosodium urate (MSU) in joints as a result of hyperuricemia is a central risk factor for gout. However other factors must exist that control the progression from hyperuricaemia to gout. A previous genetic association study has implicated the toll-like receptor 4 (TLR4) which activates the NLRP3 inflammasome via the nuclear factor-κB signaling pathway upon stimulation by MSU crystals. The T-allele of single nucleotide polymorphism rs2149356 in TLR4 is a risk factor associated with gout in a Chinese study. Our aim was to replicate this observation in participants of European and New Zealand Polynesian (Māori and Pacific) ancestry. A total of 2250 clinically-ascertained prevalent gout cases and 13925 controls were used. Non-clinically-ascertained incident gout cases and controls from the Health Professional Follow-up (HPFS) and Nurses Health Studies (NHS) were also used. Genotypes were derived from genome-wide genotype data or directly obtained using Taqman. Logistic regression analysis was done including age, sex, diuretic exposure and ancestry as covariates as appropriate. The T-allele increased the risk of gout in the clinically-ascertained European samples (OR = 1.12, P = 0.012) and decreased the risk of gout in Polynesians (OR = 0.80, P = 0.011). There was no evidence for association in the HPFS or NHS sample sets. In conclusion TLR4 SNP rs2143956 associates with gout risk in prevalent clinically-ascertained gout in Europeans, in a direction consistent with previously published results in Han Chinese. However, with an opposite direction of association in Polynesians and no evidence for association in a non-clinically-ascertained incident gout cohort this variant should be analysed in other international gout genetic data sets to determine if there is genuine evidence for association.
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Affiliation(s)
- Humaira Rasheed
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
- University of Engineering and Technology, Lahore, Pakistan
| | - Cushla McKinney
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Lisa K. Stamp
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
| | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Ruth K. Topless
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Richard Day
- School of Medical Sciences, University of New South Wales, Sydney, Australia
- Department of Clinical Pharmacology & Toxicology, St Vincent’s Hospital, Sydney, Australia
| | - Diluk Kannangara
- School of Medical Sciences, University of New South Wales, Sydney, Australia
- Department of Clinical Pharmacology & Toxicology, St Vincent’s Hospital, Sydney, Australia
| | - Kenneth Williams
- School of Medical Sciences, University of New South Wales, Sydney, Australia
- Department of Clinical Pharmacology & Toxicology, St Vincent’s Hospital, Sydney, Australia
| | - Malcolm Smith
- Department of Medicine, Flinders Medical Centre and Repatriation General Hospital, Adelaide, Australia
| | - Matthijs Janssen
- Department of Rheumatology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Tim L. Jansen
- Department of IQ HealthCare, VieCuri Medical Centre, Venlo, The Netherlands
| | - Leo A. Joosten
- Department of Internal Medicine and Radboud Institute of Molecular Life Science, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Timothy R. Radstake
- Department of Rheumatology and Clinical Immunology, Laboratory of Translational Immunology, Department of Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Philip L. Riches
- Rheumatic Diseases Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Anne-Kathrin Tausche
- Department of Rheumatology, University Clinic “Carl-Gustav-Carus”, Dresden, Germany
| | - Frederic Lioté
- INSERM, UMR-S 1132, Hospital Lariboisière, Paris, France
- University Paris Diderot (UFR de Médecine), Sorbonne Paris Cité, Paris, France
| | - Leo Lu
- Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Eli A. Stahl
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Hyon K. Choi
- Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Alexander So
- DAL, Service of Rheumatology, Laboratory of Rheumatology, University of Lausanne, CHUV, Nestlé, Lausanne, Switzerland
| | - Tony R. Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
- * E-mail:
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Lee YH, Song GG. Association between Sugar-Sweetened Beverage Consumption and the Risk of Gout: A Meta-Analysis. JOURNAL OF RHEUMATIC DISEASES 2016. [DOI: 10.4078/jrd.2016.23.5.304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Young Ho Lee
- Division of Rheumatology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Gwan Gyu Song
- Division of Rheumatology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
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Kannangara DRW, Phipps-Green AJ, Dalbeth N, Stamp LK, Williams KM, Graham GG, Day RO, Merriman TR. Hyperuricaemia: contributions of urate transporter ABCG2 and the fractional renal clearance of urate. Ann Rheum Dis 2015; 75:1363-6. [PMID: 26835700 DOI: 10.1136/annrheumdis-2015-208111] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2015] [Accepted: 11/07/2015] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To investigate the contributions towards hyperuricaemia of known risk factors, focusing on fractional (renal) clearance of urate (FCU) and variation in the ATP-binding cassette transporter, sub-family G 2 (ABCG2) gene. METHODS The contributions of age, sex, ancestry, Q141K genotype for ABCG2, FCU, sugar-sweetened beverage and alcohol consumption, metabolic syndrome disorders and measures of renal function to the risk of hyperuricaemia were evaluated by comparing hyperuricaemic (serum urate≥0.42 mmol/L, n=448) with normouricaemic (serum urate<0.42 mmol/L, n=344) participants using stepwise logistic regression. Model performance was evaluated using the area under the receiver operator characteristic curve (AUROC). RESULTS ABCG2 genotype, FCU, male sex, body mass index, serum triglyceride concentrations, estimated glomerular filtration rate and consumption of alcohol were the best predictors of hyperuricaemia (AUROC 0.90, 81% accuracy). Homozygosity in the 141K variant for ABCG2 conferred an adjusted OR of 10.5 for hyperuricaemia (95% CI 2.4 to 46.2). For each 1% decrease of FCU, the adjusted OR increased by 51% (OR 1.51, 95% CI 1.37 to 1.66). There was no association between ABCG2 genotype and FCU (r=0.02, p=0.83). CONCLUSIONS The ABCG2 141K variant and the FCU contribute strongly but independently to hyperuricaemia. These findings provide further evidence for a significant contribution of ABCG2 to extra-renal (gut) clearance of urate.
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Affiliation(s)
- Diluk R W Kannangara
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia Department of Clinical Pharmacology & Toxicology, St Vincent's Hospital, Sydney, New South Wales, Australia
| | | | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Lisa K Stamp
- Department of Medicine, University of Otago, Christchurch, Canterbury, New Zealand
| | - Kenneth M Williams
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia Department of Clinical Pharmacology & Toxicology, St Vincent's Hospital, Sydney, New South Wales, Australia
| | - Garry G Graham
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia Department of Clinical Pharmacology & Toxicology, St Vincent's Hospital, Sydney, New South Wales, Australia
| | - Richard O Day
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia Department of Clinical Pharmacology & Toxicology, St Vincent's Hospital, Sydney, New South Wales, Australia St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
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