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Yamaguchi A, Mukai Y, Sakuma T, Suganuma Y, Furugen A, Narumi K, Kobayashi M. Molecular characteristic analysis of single-nucleotide polymorphisms in SLC16A9/hMCT9. Life Sci 2023; 334:122205. [PMID: 37879602 DOI: 10.1016/j.lfs.2023.122205] [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: 07/28/2023] [Revised: 10/03/2023] [Accepted: 10/21/2023] [Indexed: 10/27/2023]
Abstract
AIMS Human monocarboxylate transporter 9 (hMCT9), encoded by SLC16A9, is a transporter that mediates creatine transport across the transmembrane. Previously, we reported that hMCT9 is an extracellular pH- and Na+-sensitive creatine transporter with two kinetic components. Recently, some variants of hMCT9 have been found to be associated with serum uric acid levels, hyperuricemia, and gout. Among these, two single-nucleotide polymorphisms (SNPs) have also been reported: rs550527563 (L93M) and rs2242206 (T258K). However, the effect of these SNPs on hMCT9 transport activity remains unclear. This study aimed to determine the influence of hMCT9 L93M and T258K on transport characteristics. MAIN METHODS hMCT9 L93M and T258K were constructed by site-directed mutagenesis and expressed in Xenopus laevis oocyte. Transport activity of uric acid and creatine via hMCT9 were measured by using a Xenopus laevis oocyte heterologous expression system. KEY FINDINGS We assessed the transport activity of uric acid and creatine, and observed that hMCT9-expressing oocytes transported uric acid approximately 3- to 4-fold more than water-injected oocytes. hMCT9 L93M slightly reduced the transport activity of creatine, whereas hMCT9 T258K did not affect the transport activity. Interestingly, hMCT9 T258K abolished Na+ sensitivity and altered the substrate affinity from two components to one. SIGNIFICANCE In conclusion, hMCT9 SNPs affect transport activity and characteristics. hMCT9 L93M and T258K may induce dysfunction and contribute to pathologies such as hyperuricemia and gout. This is a first study to evaluate molecular characteristics of hMCT9 SNPs.
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Affiliation(s)
- Atsushi Yamaguchi
- Department of Pharmacy, Hokkaido University Hospital, Kita-14-Jo, Nishi-5-Chome, Kita-ku, Sapporo 060-8648, Japan; 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
| | - Yuto Mukai
- 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
| | - Tomoya Sakuma
- 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
| | - Yudai Suganuma
- 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
| | - Ayako Furugen
- 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
| | - Masaki Kobayashi
- 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.
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Zhang Z, Ji G, Li M. Glucokinase regulatory protein: a balancing act between glucose and lipid metabolism in NAFLD. Front Endocrinol (Lausanne) 2023; 14:1247611. [PMID: 37711901 PMCID: PMC10497960 DOI: 10.3389/fendo.2023.1247611] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 08/14/2023] [Indexed: 09/16/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a common liver disease worldwide, affected by both genetics and environment. Type 2 diabetes (T2D) stands as an independent environmental risk factor that precipitates the onset of hepatic steatosis and accelerates its progression to severe stages of liver damage. Furthermore, the coexistence of T2D and NAFLD magnifies the risk of cardiovascular disease synergistically. However, the association between genetic susceptibility and metabolic risk factors in NAFLD remains incompletely understood. The glucokinase regulator gene (GCKR), responsible for encoding the glucokinase regulatory protein (GKRP), acts as a regulator and protector of the glucose-metabolizing enzyme glucokinase (GK) in the liver. Two common variants (rs1260326 and rs780094) within the GCKR gene have been associated with a lower risk for T2D but a higher risk for NAFLD. Recent studies underscore that T2D presence significantly amplifies the effect of the GCKR gene, thereby increasing the risk of NASH and fibrosis in NAFLD patients. In this review, we focus on the critical roles of GKRP in T2D and NAFLD, drawing upon insights from genetic and biological studies. Notably, prior attempts at drug development targeting GK with glucokinase activators (GKAs) have shown potential risks of augmented plasma triglycerides or NAFLD. Conversely, overexpression of GKRP in diabetic rats improved glucose tolerance without causing NAFLD, suggesting the crucial regulatory role of GKRP in maintaining hepatic glucose and lipid metabolism balance. Collectively, this review sheds new light on the complex interaction between genes and environment in NAFLD, focusing on the GCKR gene. By integrating evidence from genetics, biology, and drug development, we reassess the therapeutic potential of targeting GK or GKRP for metabolic disease treatment. Emerging evidence suggests that selectively activating GK or enhancing GK-GKRP binding may represent a holistic strategy for restoring glucose and lipid metabolic balance.
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Affiliation(s)
| | | | - Meng Li
- Institute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Amatucci AJ, Padnick-Silver L, LaMoreaux B, Bulbin DH. Comparison Between Early-Onset and Common Gout: A Systematic Literature Review. Rheumatol Ther 2023; 10:809-823. [PMID: 37335432 PMCID: PMC10326179 DOI: 10.1007/s40744-023-00565-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 05/26/2023] [Indexed: 06/21/2023] Open
Abstract
INTRODUCTION Gout is an inflammatory, metabolic disease associated with a high comorbidity burden including cardiovascular disease, hypertension, type 2 diabetes, hyperlipidemia, renal disease, and metabolic syndrome. Approximately 9.2 million Americans have gout, making prognosis and treatment outcome predictors highly important. About 600,000 Americans have early-onset gout (EOG), generally defined as first gout attack at ≤ 40 years of age. However, data on EOG clinical features, comorbidity profile, and treatment response are sparse; this systematic literature review provides insight. METHODS PubMed and American College of Rheumatology (ACR)/European Alliance of the Associations for Rheumatology (EULAR) abstract archives were searched for early-onset gout, "early onset gout," and ("gout" AND "age of onset"). Duplicate, foreign language, single case report, older (before 2016), and irrelevant/data insufficient publications were excluded. The age of diagnosis categorized patients as having common gout (CG, generally > 40 years) or EOG (generally ≤ 40 years). Applicable publications were extensively reviewed/discussed among authors for inclusion/exclusion consensus. RESULTS A total of 283 publications were identified, with 46 (35 articles, 10 abstracts) reviewed and 17 (12 articles, 5 abstracts) ultimately included. Eleven reported clinical characteristics, with 6 EOG-CG retrospective/cross-sectional comparisons. Gout diagnosis preceded cardiometabolic comorbidity and renal comorbidities were less prevalent in EOG than CG patients. EOG patients had more severe disease (more gout flares, polyarticular disease), higher pre-therapy serum urate (SU), and worse oral urate-lowering therapy response. Genetics-focused publications reported higher incidences of dysfunctional urate transporter mutations in EOG patients. CONCLUSIONS This review suggests that EOG is more recalcitrant to urate-lowering therapy, is associated with urate transporter defects, and carries heavy disease burden. Therefore, early rheumatology referral and urate-lowering in a treat-to-target fashion may benefit EOG patients. Interestingly, EOG patients had fewer cardiometabolic comorbidities at diagnosis than CG patients, presenting a potential "window of opportunity" to attenuate cardiometabolic comorbidity development with SU control. Preventing gout-related suffering and health burden is particularly important in these young EOG patients who will live with gout and its sequelae for decades.
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Affiliation(s)
| | | | - Brian LaMoreaux
- Horizon Therapeutics plc, 1 Horizon Way, Deerfield, IL, 60015, USA
| | - David H Bulbin
- Division of Rheumatology, Geisinger Medical Center, Danville, PA, USA
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Yang W, Wu H, Cai X, Lin C, Jiao R, Ji L. Evaluation of efficacy and safety of glucokinase activators-a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1175198. [PMID: 37223016 PMCID: PMC10200948 DOI: 10.3389/fendo.2023.1175198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 04/17/2023] [Indexed: 05/25/2023] Open
Abstract
Aims Glucokinase activators (GKAs) promote the activity of glucokinase (GK) and is under development for the treatment of diabetes. The efficacy and safety of GKAs require evaluation. Methods This meta-analysis included randomized controlled trials (RCTs) with a duration of at least 12 weeks conducted in patients with diabetes. The primary objective of this meta-analysis was the difference of hemoglobin A1c (HbA1c) change from baseline to study end between GKA groups and placebo groups. Risk of hypoglycemia and laboratory indicators were also evaluated. Weighted mean differences (WMDs) and 95% confidence intervals (CIs) were calculated for the continuous outcomes, and odds ratios (ORs) and 95% CI were calculated for the risk of hypoglycemia. Results Data from 13 RCTs with 2,748 participants treated with GKAs and 2,681 control participants were analyzed. In type 2 diabetes, the level of HbA1c decreased greater in patients with GKA treatment compared with placebo (WMD = -0.339%, 95% CI -0.524 to -0.154%, P < 0.001). The OR comparing GKA versus placebo was 1.448 for risk of hypoglycemia (95% CI 0.808 to 2.596, P = 0.214). The WMD comparing GKA versus placebo was 0.322 mmol/L for triglyceride (TG) levels (95% CI 0.136 to 0.508 mmol/L, P = 0.001). When stratified by drug type, selectivity, and study duration, a significant difference was found between groups. In type 1 diabetes, the result of HbA1c change and lipid indicators showed no significant difference between the TPP399 group and the placebo group. Conclusions In patients with type 2 diabetes, GKA treatment was associated with a better glycemic control but a significant elevation in TG concentration in general. The efficacy and safety varied with drug type and selectivity. Systematic review registration International Prospective Register of Systematic Reviews, identifier CRD42022378342.
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Affiliation(s)
| | | | | | | | | | - Linong Ji
- *Correspondence: Xiaoling Cai, ; Linong Ji,
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Recent advances in gout drugs. Eur J Med Chem 2022; 245:114890. [DOI: 10.1016/j.ejmech.2022.114890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 10/24/2022] [Accepted: 10/25/2022] [Indexed: 11/24/2022]
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Ho LJ, Lu CH, Su RY, Lin FH, Su SC, Kuo FC, Chu NF, Hung YJ, Liu JS, Hsieh CH. Association between glucokinase regulator gene polymorphisms and serum uric acid levels in Taiwanese adolescents. Sci Rep 2022; 12:5519. [PMID: 35365700 PMCID: PMC8975867 DOI: 10.1038/s41598-022-09393-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 03/08/2022] [Indexed: 11/20/2022] Open
Abstract
The glucokinase regulator gene (GCKR) is located on chromosome 2p23. It plays a crucial role in maintaining plasma glucose homeostasis and metabolic traits. Recently, genome-wide association studies have revealed a positive association between hyperuricemia and GCKR variants in adults. This study investigated this genetic association in Taiwanese adolescents. Data were collected from our previous cross-sectional study (Taipei Children Heart Study). The frequencies of various genotypes (CC, CT, and TT) or alleles (C and T) of the GCKR intronic single-nucleotide polymorphism (SNP) rs780094 and the coding SNP rs1260326 (Pro446Leu, a common 1403C-T transition) were compared between a total of 968 Taiwanese adolescents (473 boys, 495 girls) with hyperuricemia or normal uric acid levels on the basis of gender differences. Logistic and linear regression analyses explored the role of GCKR in abnormal uric acid (UA) levels. Boys had higher UA levels than girls (6.68 ± 1.29 and 5.23 ± 0.95 mg/dl, respectively, p < 0.001). The analysis of both SNPs in girls revealed that the T allele was more likely to appear in patients with hyperuricemia than the C allele. After adjusting for confounders, the odds ratio (OR) for hyperuricemia incidence in the TT genotype was 1.75 (95% confidence interval [CI] 1.02–3.00), which was higher than that in the C allele carriers in rs1260326 in the girl population. Similarly, the TT genotypes had a higher risk of hyperuricemia, with an OR of 2.29 (95% CI 1.11–4.73) for rs1260326 and 2.28 (95% CI 1.09–4.75) for rs780094, than the CC genotype in girl adolescents. The T (Leu446) allele of GCKR rs1260326 polymorphism is associated with higher UA levels in Taiwanese adolescent girls.
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Affiliation(s)
- Li-Ju Ho
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC.,Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No. 325, Section 2, Cheng-Kung Road, Neihu District, Taipei City, 11490, Taiwan, ROC
| | - Chieh-Hua Lu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No. 325, Section 2, Cheng-Kung Road, Neihu District, Taipei City, 11490, Taiwan, ROC
| | - Ruei-Yu Su
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC.,Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.,Department of Pathology and Laboratory Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan, ROC
| | - Fu-Huang Lin
- School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC
| | - Sheng-Chiang Su
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No. 325, Section 2, Cheng-Kung Road, Neihu District, Taipei City, 11490, Taiwan, ROC
| | - Feng-Chih Kuo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No. 325, Section 2, Cheng-Kung Road, Neihu District, Taipei City, 11490, Taiwan, ROC
| | - Nain-Feng Chu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No. 325, Section 2, Cheng-Kung Road, Neihu District, Taipei City, 11490, Taiwan, ROC.,School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC
| | - Yi-Jen Hung
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No. 325, Section 2, Cheng-Kung Road, Neihu District, Taipei City, 11490, Taiwan, ROC
| | - Jhih-Syuan Liu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No. 325, Section 2, Cheng-Kung Road, Neihu District, Taipei City, 11490, Taiwan, ROC.
| | - Chang-Hsun Hsieh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No. 325, Section 2, Cheng-Kung Road, Neihu District, Taipei City, 11490, Taiwan, ROC.
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Sun HL, Wu YW, Bian HG, Yang H, Wang H, Meng XM, Jin J. Function of Uric Acid Transporters and Their Inhibitors in Hyperuricaemia. Front Pharmacol 2021; 12:667753. [PMID: 34335246 PMCID: PMC8317579 DOI: 10.3389/fphar.2021.667753] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 06/30/2021] [Indexed: 12/14/2022] Open
Abstract
Disorders of uric acid metabolism may be associated with pathological processes in many diseases, including diabetes mellitus, cardiovascular disease, and kidney disease. These diseases can further promote uric acid accumulation in the body, leading to a vicious cycle. Preliminary studies have proven many mechanisms such as oxidative stress, lipid metabolism disorders, and rennin angiotensin axis involving in the progression of hyperuricaemia-related diseases. However, there is still lack of effective clinical treatment for hyperuricaemia. According to previous research results, NPT1, NPT4, OAT1, OAT2, OAT3, OAT4, URAT1, GLUT9, ABCG2, PDZK1, these urate transports are closely related to serum uric acid level. Targeting at urate transporters and urate-lowering drugs can enhance our understanding of hyperuricaemia and hyperuricaemia-related diseases. This review may put forward essential references or cross references to be contributed to further elucidate traditional and novel urate-lowering drugs benefits as well as provides theoretical support for the scientific research on hyperuricemia and related diseases.
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Affiliation(s)
- Hao-Lu Sun
- Department of Pharmacology, Anhui Medical University, Hefei, China
| | - Yi-Wan Wu
- Department of Pharmacology, Anhui Medical University, Hefei, China
| | - He-Ge Bian
- Department of Pharmacology, Anhui Medical University, Hefei, China
| | - Hui Yang
- Department of Pharmacology, Anhui Medical University, Hefei, China
| | - Heng Wang
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei, China
| | - Xiao-Ming Meng
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei, China
| | - Juan Jin
- Department of Pharmacology, Anhui Medical University, Hefei, China
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Leask MP, Sumpter NA, Lupi AS, Vazquez AI, Reynolds RJ, Mount DB, Merriman TR. The Shared Genetic Basis of Hyperuricemia, Gout, and Kidney Function. Semin Nephrol 2020; 40:586-599. [DOI: 10.1016/j.semnephrol.2020.12.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Schumann T, König J, Henke C, Willmes DM, Bornstein SR, Jordan J, Fromm MF, Birkenfeld AL. Solute Carrier Transporters as Potential Targets for the Treatment of Metabolic Disease. Pharmacol Rev 2020; 72:343-379. [PMID: 31882442 DOI: 10.1124/pr.118.015735] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The solute carrier (SLC) superfamily comprises more than 400 transport proteins mediating the influx and efflux of substances such as ions, nucleotides, and sugars across biological membranes. Over 80 SLC transporters have been linked to human diseases, including obesity and type 2 diabetes (T2D). This observation highlights the importance of SLCs for human (patho)physiology. Yet, only a small number of SLC proteins are validated drug targets. The most recent drug class approved for the treatment of T2D targets sodium-glucose cotransporter 2, product of the SLC5A2 gene. There is great interest in identifying other SLC transporters as potential targets for the treatment of metabolic diseases. Finding better treatments will prove essential in future years, given the enormous personal and socioeconomic burden posed by more than 500 million patients with T2D by 2040 worldwide. In this review, we summarize the evidence for SLC transporters as target structures in metabolic disease. To this end, we identified SLC13A5/sodium-coupled citrate transporter, and recent proof-of-concept studies confirm its therapeutic potential in T2D and nonalcoholic fatty liver disease. Further SLC transporters were linked in multiple genome-wide association studies to T2D or related metabolic disorders. In addition to presenting better-characterized potential therapeutic targets, we discuss the likely unnoticed link between other SLC transporters and metabolic disease. Recognition of their potential may promote research on these proteins for future medical management of human metabolic diseases such as obesity, fatty liver disease, and T2D. SIGNIFICANCE STATEMENT: Given the fact that the prevalence of human metabolic diseases such as obesity and type 2 diabetes has dramatically risen, pharmacological intervention will be a key future approach to managing their burden and reducing mortality. In this review, we present the evidence for solute carrier (SLC) genes associated with human metabolic diseases and discuss the potential of SLC transporters as therapeutic target structures.
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Affiliation(s)
- Tina Schumann
- Section of Metabolic and Vascular Medicine, Medical Clinic III, Dresden University School of Medicine (T.S., C.H., D.M.W., S.R.B.), and Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital and Faculty of Medicine (T.S., C.H., D.M.W.), Technische Universität Dresden, Dresden, Germany; Deutsches Zentrum für Diabetesforschung e.V., Neuherberg, Germany (T.S., C.H., D.M.W., A.L.B.); Clinical Pharmacology and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (J.K., M.F.F.); Institute for Aerospace Medicine, German Aerospace Center and Chair for Aerospace Medicine, University of Cologne, Cologne, Germany (J.J.); Diabetes and Nutritional Sciences, King's College London, London, United Kingdom (S.R.B., A.L.B.); Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany (A.L.B.); and Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany (A.L.B.)
| | - Jörg König
- Section of Metabolic and Vascular Medicine, Medical Clinic III, Dresden University School of Medicine (T.S., C.H., D.M.W., S.R.B.), and Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital and Faculty of Medicine (T.S., C.H., D.M.W.), Technische Universität Dresden, Dresden, Germany; Deutsches Zentrum für Diabetesforschung e.V., Neuherberg, Germany (T.S., C.H., D.M.W., A.L.B.); Clinical Pharmacology and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (J.K., M.F.F.); Institute for Aerospace Medicine, German Aerospace Center and Chair for Aerospace Medicine, University of Cologne, Cologne, Germany (J.J.); Diabetes and Nutritional Sciences, King's College London, London, United Kingdom (S.R.B., A.L.B.); Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany (A.L.B.); and Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany (A.L.B.)
| | - Christine Henke
- Section of Metabolic and Vascular Medicine, Medical Clinic III, Dresden University School of Medicine (T.S., C.H., D.M.W., S.R.B.), and Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital and Faculty of Medicine (T.S., C.H., D.M.W.), Technische Universität Dresden, Dresden, Germany; Deutsches Zentrum für Diabetesforschung e.V., Neuherberg, Germany (T.S., C.H., D.M.W., A.L.B.); Clinical Pharmacology and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (J.K., M.F.F.); Institute for Aerospace Medicine, German Aerospace Center and Chair for Aerospace Medicine, University of Cologne, Cologne, Germany (J.J.); Diabetes and Nutritional Sciences, King's College London, London, United Kingdom (S.R.B., A.L.B.); Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany (A.L.B.); and Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany (A.L.B.)
| | - Diana M Willmes
- Section of Metabolic and Vascular Medicine, Medical Clinic III, Dresden University School of Medicine (T.S., C.H., D.M.W., S.R.B.), and Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital and Faculty of Medicine (T.S., C.H., D.M.W.), Technische Universität Dresden, Dresden, Germany; Deutsches Zentrum für Diabetesforschung e.V., Neuherberg, Germany (T.S., C.H., D.M.W., A.L.B.); Clinical Pharmacology and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (J.K., M.F.F.); Institute for Aerospace Medicine, German Aerospace Center and Chair for Aerospace Medicine, University of Cologne, Cologne, Germany (J.J.); Diabetes and Nutritional Sciences, King's College London, London, United Kingdom (S.R.B., A.L.B.); Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany (A.L.B.); and Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany (A.L.B.)
| | - Stefan R Bornstein
- Section of Metabolic and Vascular Medicine, Medical Clinic III, Dresden University School of Medicine (T.S., C.H., D.M.W., S.R.B.), and Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital and Faculty of Medicine (T.S., C.H., D.M.W.), Technische Universität Dresden, Dresden, Germany; Deutsches Zentrum für Diabetesforschung e.V., Neuherberg, Germany (T.S., C.H., D.M.W., A.L.B.); Clinical Pharmacology and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (J.K., M.F.F.); Institute for Aerospace Medicine, German Aerospace Center and Chair for Aerospace Medicine, University of Cologne, Cologne, Germany (J.J.); Diabetes and Nutritional Sciences, King's College London, London, United Kingdom (S.R.B., A.L.B.); Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany (A.L.B.); and Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany (A.L.B.)
| | - Jens Jordan
- Section of Metabolic and Vascular Medicine, Medical Clinic III, Dresden University School of Medicine (T.S., C.H., D.M.W., S.R.B.), and Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital and Faculty of Medicine (T.S., C.H., D.M.W.), Technische Universität Dresden, Dresden, Germany; Deutsches Zentrum für Diabetesforschung e.V., Neuherberg, Germany (T.S., C.H., D.M.W., A.L.B.); Clinical Pharmacology and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (J.K., M.F.F.); Institute for Aerospace Medicine, German Aerospace Center and Chair for Aerospace Medicine, University of Cologne, Cologne, Germany (J.J.); Diabetes and Nutritional Sciences, King's College London, London, United Kingdom (S.R.B., A.L.B.); Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany (A.L.B.); and Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany (A.L.B.)
| | - Martin F Fromm
- Section of Metabolic and Vascular Medicine, Medical Clinic III, Dresden University School of Medicine (T.S., C.H., D.M.W., S.R.B.), and Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital and Faculty of Medicine (T.S., C.H., D.M.W.), Technische Universität Dresden, Dresden, Germany; Deutsches Zentrum für Diabetesforschung e.V., Neuherberg, Germany (T.S., C.H., D.M.W., A.L.B.); Clinical Pharmacology and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (J.K., M.F.F.); Institute for Aerospace Medicine, German Aerospace Center and Chair for Aerospace Medicine, University of Cologne, Cologne, Germany (J.J.); Diabetes and Nutritional Sciences, King's College London, London, United Kingdom (S.R.B., A.L.B.); Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany (A.L.B.); and Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany (A.L.B.)
| | - Andreas L Birkenfeld
- Section of Metabolic and Vascular Medicine, Medical Clinic III, Dresden University School of Medicine (T.S., C.H., D.M.W., S.R.B.), and Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital and Faculty of Medicine (T.S., C.H., D.M.W.), Technische Universität Dresden, Dresden, Germany; Deutsches Zentrum für Diabetesforschung e.V., Neuherberg, Germany (T.S., C.H., D.M.W., A.L.B.); Clinical Pharmacology and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (J.K., M.F.F.); Institute for Aerospace Medicine, German Aerospace Center and Chair for Aerospace Medicine, University of Cologne, Cologne, Germany (J.J.); Diabetes and Nutritional Sciences, King's College London, London, United Kingdom (S.R.B., A.L.B.); Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany (A.L.B.); and Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany (A.L.B.)
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10
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Bodofsky S, Merriman TR, Thomas TJ, Schlesinger N. Advances in our understanding of gout as an auto-inflammatory disease. Semin Arthritis Rheum 2020; 50:1089-1100. [PMID: 32916560 DOI: 10.1016/j.semarthrit.2020.06.015] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/01/2020] [Accepted: 06/22/2020] [Indexed: 12/12/2022]
Abstract
Gout, the most common inflammatory arthritis, is the result of hyperuricemia and inflammation induced by monosodium urate (MSU) crystal deposition. However, most people with hyperuricemia will never develop gout, implying a molecular-genetic contribution to the development of gout. Recent genomic studies reveal links between certain genetic variations and gout. We highlight recent advances in our understanding of gout as an auto-inflammatory disease. We review the auto-inflammatory aspects of gout, including the inflammasome and thirteen gout-associated inflammatory-pathway genes and associated comorbidities. This information provides important insights into emerging immune-modulating targets in the management of gout, and future novel therapeutic targets in gout treatment. Cumulatively, this has important implications for treating gout as an auto-inflammatory disease, as opposed to a purely metabolic disease.
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Affiliation(s)
- Shari Bodofsky
- Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States.
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - T J Thomas
- Division of Rheumatology, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States
| | - Naomi Schlesinger
- Division of Rheumatology, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States
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11
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Cho SK, Kim B, Myung W, Chang Y, Ryu S, Kim HN, Kim HL, Kuo PH, Winkler CA, Won HH. Polygenic analysis of the effect of common and low-frequency genetic variants on serum uric acid levels in Korean individuals. Sci Rep 2020; 10:9179. [PMID: 32514006 PMCID: PMC7280503 DOI: 10.1038/s41598-020-66064-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 05/05/2020] [Indexed: 01/28/2023] Open
Abstract
Increased serum uric acid (SUA) levels cause gout and are associated with multiple diseases, including chronic kidney disease. Previous genome-wide association studies (GWAS) have identified more than 180 loci that contribute to SUA levels. Here, we investigated genetic determinants of SUA level in the Korean population. We conducted a GWAS for SUA in 6,881 Korean individuals, calculated polygenic risk scores (PRSs) for common variants, and validated the association of low-frequency variants and PRS with SUA levels in 3,194 individuals. We identified two low-frequency and six common independent variants associated with SUA. Despite the overall similar effect sizes of variants in Korean and European populations, the proportion of variance for SUA levels explained by the variants was greater in the Korean population. A rare, nonsense variant SLC22A12 p.W258X showed the most significant association with reduced SUA levels, and PRSs of common variants associated with SUA levels were significant in multiple Korean cohorts. Interestingly, an East Asian-specific missense variant (rs671) in ALDH2 displayed a significant association on chromosome 12 with the SUA level. Further genetic epidemiological studies on SUA are needed in ethnically diverse cohorts to investigate rare or low-frequency variants and determine the influence of genetic and environmental factors on SUA.
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Affiliation(s)
- Sung Kweon Cho
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.,Molecular Genetic Epidemiology Section, Basic Research Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Beomsu Kim
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea
| | - Yoosoo Chang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Seungho Ryu
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Han-Na Kim
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Medical Research Institute, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hyung-Lae Kim
- Department of Biochemistry, Ewha Womans University, Seoul, Republic of Korea
| | - Po-Hsiu Kuo
- Department of Public Health & Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Cheryl A Winkler
- Molecular Genetic Epidemiology Section, Basic Research Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
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12
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Wei H, Liu Y, Wen H. Association Between Uric Acid and N-Terminal Pro-B-Type Natriuretic Peptide in Patients With Unstable Angina Pectoris. Am J Med Sci 2020; 360:64-71. [PMID: 32423749 DOI: 10.1016/j.amjms.2020.04.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 02/26/2020] [Accepted: 04/02/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND The association between uric acid and N-Terminal Pro-B-Type Natriuretic Peptide (NT-proBNP) in patients with unstable angina pectoris (UAP) is unclear. METHODS We recruited 260 patients with UAP admitted to the first affiliated Hospital of Guangxi Medical University from February 2018 to August 2018. According to the level of uric acid, patients were divided into 4 groups (Q1 = 48.00-305.00 μmol/L; Q2 = 310.00-405.00 μmol/L; Q3 = 408.00-513.00 μmol/L; Q4 = 514.00-4330.00 μmol/L). The differences of NT-proBNP between groups and the relationship with cardiac function were compared. RESULTS The average age of the 260 patients enrolled was 75.04 years. The NT-proBNP of the 4 groups showed an increasing trend, and there were significant differences between the 4 groups (<0.001). On the other hand, with the increase of cardiac function (New York Heart Association), the levels of NT-proBNP and uric acid also showed an upward trend (all P < 0.05). Pearson correlation analysis showed that there was a positive correlation between uric acid log10 transform and NT-proBNP log10 transform (r = 0.272, P < 0.001). After adjusting the potential confounding factors, elevated uric acid was still significantly related to the increase of NT-proBNP (Q2 versus [vs.] Q1: OR = 469.64, 95%CI -1396.77 to 2336.05; Q3 vs. Q1: OR = 1166.53, 95%CI -726.12 to 3059.18; Q4 vs. Q1: OR = 3204.78, 95%CI 1240.86-5168.70). In subgroup analysis, the relationship between uric acid and NT-proBNP was significant in males, but no difference was observed in females. CONCLUSIONS In male patients with UAP, elevated uric acid is related to the increase of NT-proBNP, but this phenomenon is not obvious in female patients.
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Affiliation(s)
- Heng Wei
- Department of Geriatric Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China
| | - Yanli Liu
- Department of Geriatric Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China
| | - Hong Wen
- Department of Geriatric Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
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13
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Buziau AM, Schalkwijk CG, Stehouwer CDA, Tolan DR, Brouwers MCGJ. Recent advances in the pathogenesis of hereditary fructose intolerance: implications for its treatment and the understanding of fructose-induced non-alcoholic fatty liver disease. Cell Mol Life Sci 2020; 77:1709-1719. [PMID: 31713637 PMCID: PMC11105038 DOI: 10.1007/s00018-019-03348-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 10/02/2019] [Accepted: 10/16/2019] [Indexed: 12/31/2022]
Abstract
Hereditary fructose intolerance (HFI) is a rare inborn disease characterized by a deficiency in aldolase B, which catalyzes the cleavage of fructose 1,6-bisphosphate and fructose 1-phosphate (Fru 1P) to triose molecules. In patients with HFI, ingestion of fructose results in accumulation of Fru 1P and depletion of ATP, which are believed to cause symptoms, such as nausea, vomiting, hypoglycemia, and liver and kidney failure. These sequelae can be prevented by a fructose-restricted diet. Recent studies in aldolase B-deficient mice and HFI patients have provided more insight into the pathogenesis of HFI, in particular the liver phenotype. Both aldolase B-deficient mice (fed a very low fructose diet) and HFI patients (treated with a fructose-restricted diet) displayed greater intrahepatic fat content when compared to controls. The liver phenotype in aldolase B-deficient mice was prevented by reduction in intrahepatic Fru 1P concentrations by crossing these mice with mice deficient for ketohexokinase, the enzyme that catalyzes the synthesis of Fru 1P. These new findings not only provide a potential novel treatment for HFI, but lend insight into the pathogenesis of fructose-induced non-alcoholic fatty liver disease (NAFLD), which has raised to epidemic proportions in Western society. This narrative review summarizes the most recent advances in the pathogenesis of HFI and discusses the implications for the understanding and treatment of fructose-induced NAFLD.
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Affiliation(s)
- Amée M Buziau
- Division of Endocrinology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Laboratory for Metabolism and Vascular Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands
| | - Casper G Schalkwijk
- Laboratory for Metabolism and Vascular Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands
| | - Coen D A Stehouwer
- Laboratory for Metabolism and Vascular Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands
- Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Dean R Tolan
- Department of Biology, Boston University, Boston, MA, USA.
| | - Martijn C G J Brouwers
- Division of Endocrinology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
- Laboratory for Metabolism and Vascular Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands.
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14
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Sotomayor CG, Minović I, Eggersdorfer ML, Riphagen IJ, de Borst MH, Dekker LH, Nolte IM, Frank J, van Zon SK, Reijneveld SA, van der Molen JC, Vos MJ, Kootstra-Ros JE, Rodrigo R, Kema IP, Navis GJ, Bakker SJ. Duality of Tocopherol Isoforms and Novel Associations with Vitamins Involved in One-Carbon Metabolism: Results from an Elderly Sample of the LifeLines Cohort Study. Nutrients 2020; 12:nu12020580. [PMID: 32102191 PMCID: PMC7071362 DOI: 10.3390/nu12020580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 02/18/2020] [Accepted: 02/19/2020] [Indexed: 11/16/2022] Open
Abstract
Whether the affinity of serum vitamin E with total lipids hampers the appropriate assessment of its association with age-related risk factors has not been investigated in epidemiological studies. We aimed to compare linear regression-derived coefficients of the association of non-indexed and total lipids-indexed vitamin E isoforms with clinical and laboratory characteristics pertaining to the lipid, metabolic syndrome, and one-carbon metabolism biological domains. We studied 1429 elderly subjects (non-vitamin supplement users, 60-75 years old, with low and high socioeconomic status) from the population-based LifeLines Cohort and Biobank Study. We found that the associations of tocopherol isoforms with lipids were inverted in total lipids-indexed analyses, which may be indicative of overcorrection. Irrespective of the methods of standardization, we consistently found positive associations of α-tocopherol with vitamins of the one-carbon metabolism pathway and inverse associations with characteristics related to glucose metabolism. The associations of γ-tocopherol were often opposite to those of α-tocopherol. These data suggest that tocopherol isoforms and one-carbon metabolism are related, with beneficial and adverse associations for α-tocopherol and γ-tocopherol, respectively. Whether tocopherol isoforms, or their interplay, truly affect the one-carbon metabolism pathway remains to be further studied.
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Affiliation(s)
- Camilo G. Sotomayor
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (M.L.E.); (M.H.d.B.); (L.H.D.); (G.J.N.)
- Correspondence: ; Tel.: +31-050-361-0881
| | - Isidor Minović
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (I.M.); (I.J.R.); (J.C.v.d.M.); (M.J.V.); (J.E.K.-R.); (I.P.K.)
| | - Manfred L. Eggersdorfer
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (M.L.E.); (M.H.d.B.); (L.H.D.); (G.J.N.)
| | - Ineke J. Riphagen
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (I.M.); (I.J.R.); (J.C.v.d.M.); (M.J.V.); (J.E.K.-R.); (I.P.K.)
| | - Martin H. de Borst
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (M.L.E.); (M.H.d.B.); (L.H.D.); (G.J.N.)
| | - Louise H. Dekker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (M.L.E.); (M.H.d.B.); (L.H.D.); (G.J.N.)
| | - Ilja M. Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands;
| | - Jan Frank
- Institute of Nutritional Sciences, University of Hohenheim, 70599 Stuttgart, Germany;
| | - Sander K.R. van Zon
- Department of Health Sciences, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands (S.A.R.)
| | - Sijmen A. Reijneveld
- Department of Health Sciences, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands (S.A.R.)
| | - Jan C. van der Molen
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (I.M.); (I.J.R.); (J.C.v.d.M.); (M.J.V.); (J.E.K.-R.); (I.P.K.)
| | - Michel J. Vos
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (I.M.); (I.J.R.); (J.C.v.d.M.); (M.J.V.); (J.E.K.-R.); (I.P.K.)
| | - Jenny E. Kootstra-Ros
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (I.M.); (I.J.R.); (J.C.v.d.M.); (M.J.V.); (J.E.K.-R.); (I.P.K.)
| | - Ramón Rodrigo
- Molecular and Clinical Pharmacology Program, Institute of Biomedical Sciences, Faculty of Medicine, University of Chile, Santiago CP 8380453, Chile;
| | - Ido P. Kema
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (I.M.); (I.J.R.); (J.C.v.d.M.); (M.J.V.); (J.E.K.-R.); (I.P.K.)
| | - Gerjan J. Navis
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (M.L.E.); (M.H.d.B.); (L.H.D.); (G.J.N.)
| | - Stephan J.L. Bakker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (M.L.E.); (M.H.d.B.); (L.H.D.); (G.J.N.)
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15
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Molecular characterization of the orphan transporter SLC16A9, an extracellular pH- and Na+-sensitive creatine transporter. Biochem Biophys Res Commun 2020; 522:539-544. [DOI: 10.1016/j.bbrc.2019.11.137] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 11/20/2019] [Indexed: 02/08/2023]
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16
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Whole-Exome Sequencing Reveals a Rare Missense Variant in SLC16A9 in a Pedigree with Early-Onset Gout. BIOMED RESEARCH INTERNATIONAL 2020; 2020:4321419. [PMID: 32090094 PMCID: PMC7013288 DOI: 10.1155/2020/4321419] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 12/28/2019] [Accepted: 01/10/2020] [Indexed: 02/06/2023]
Abstract
Gout is a common inflammatory arthritis triggered by monosodium urate deposition after longstanding hyperuricemia. In the general community, the disease is largely polygenic in genetic architecture, with many polymorphisms having been identified in gout or urate-associated traits. In a small proportion of cases, rare high penetrant mutations associated with monogenic segregation of the disease in families have been demonstrated to be disease causative. In this study, we recruited a two-generation pedigree with early-onset gout. To elucidate the genetic predisposition, whole-exome sequencing (WES) was performed. After comprehensive variant analyses and cosegregation testing, we identified a missense variant (c.277C>A, p.L93M) in SLC16A9, an extremely rare variant in genetic databases. Moreover, in silico assessments showed strong pathogenicity. This variant cosegregated with the disease phenotype perfectly in the family and is located in a highly conserved functional domain. A few studies supported our results of the association between SLC16A9 and gout and serum urate levels. In conclusion, we provide the first evidence for the association of rare missense in SLC16A9 with early-onset gout. These findings not only expand our current understanding of gout but also may have further implications for the treatment and prevention of gout.
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17
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Narang RK, Vincent Z, Phipps-Green A, Stamp LK, Merriman TR, Dalbeth N. Population-specific factors associated with fractional excretion of uric acid. Arthritis Res Ther 2019; 21:234. [PMID: 31718705 PMCID: PMC6852918 DOI: 10.1186/s13075-019-2016-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 09/25/2019] [Indexed: 12/22/2022] Open
Abstract
Background Reduced renal clearance of uric acid is a major contributor to hyperuricemia. The aim of this study was to examine clinical and genetic variables associated with fractional excretion of uric acid (FEUA). Methods Participants (with and without gout) in the Genetics of Gout in Aotearoa study with available genotyping and FEUA data were included (n = 1713). Ten FEUA-associated loci detected within a genome-wide association study for serum urate in a European population were analysed. A polygenic score for FEUA was calculated in each ancestry group to model the cumulative effects of the genetic variants on FEUA. Associations between FEUA and both clinical variables and polygenic score were tested using linear regression models. Results The mean (SD) FEUA was 5.13 (2.70) % in Eastern Polynesian participants, 4.70 (5.89) % in Western Polynesian participants, and 5.89 (2.73) % in New Zealand European participants. Although association with FEUA was observed for SLC2A9 rs11942223 in New Zealand European participants (P = 2.39 × 10− 8), this association was not observed in Eastern or Western Polynesian participants. The polygenic score was positively associated with FEUA in all ancestry groups. In New Zealand European participants, body mass index, diuretic use, polygenic score, and male sex were associated with FEUA and explained 22% of FEUA variance in the regression model. In Eastern and Western Polynesian participants, the tested variables explained 10% and 4% of FEUA variance respectively. Conclusions Both clinical and genetic variables contribute to renal clearance of uric acid. SLC2A9 exerts effects on FEUA variance in people of European ancestry, but not in those of Polynesian ancestry. There is a large unexplained variance in FEUA, particularly in people of Polynesian ancestry.
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Affiliation(s)
- Ravi K Narang
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand
| | - Zoe Vincent
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand
| | - Amanda Phipps-Green
- Department of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin, 9012, New Zealand
| | - Lisa K Stamp
- Department of Medicine, University of Otago, 2 Riccarton Avenue, Christchurch, 8140, New Zealand
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin, 9012, New Zealand
| | - Nicola Dalbeth
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand.
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18
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Fisel P, Schaeffeler E, Schwab M. Clinical and Functional Relevance of the Monocarboxylate Transporter Family in Disease Pathophysiology and Drug Therapy. Clin Transl Sci 2018; 11:352-364. [PMID: 29660777 PMCID: PMC6039204 DOI: 10.1111/cts.12551] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 02/27/2018] [Indexed: 12/14/2022] Open
Abstract
The solute carrier (SLC) SLC16 gene family comprises 14 members and encodes for monocarboxylate transporters (MCTs), which mediate the absorption and distribution of monocarboxylic compounds across plasma membranes. As the knowledge about their physiological function, activity, and regulation increases, their involvement and contribution to cancer and other diseases become increasingly evident. Moreover, promising opportunities for therapeutic interventions by directly targeting their endogenous functions or by exploiting their ability to deliver drugs to specific organ sites emerge.
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Affiliation(s)
- Pascale Fisel
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.,University of Tübingen, Tübingen, Germany
| | - Elke Schaeffeler
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.,University of Tübingen, Tübingen, Germany
| | - Matthias Schwab
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.,University of Tübingen, Tübingen, Germany.,Department of Clinical Pharmacology, University Hospital Tübingen, Tübingen, Germany.,Department of Pharmacy and Biochemistry, University of Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
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19
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Chen M, Lu X, Lu C, Shen N, Jiang Y, Chen M, Wu H. Soluble uric acid increases PDZK1 and ABCG2 expression in human intestinal cell lines via the TLR4-NLRP3 inflammasome and PI3K/Akt signaling pathway. Arthritis Res Ther 2018; 20:20. [PMID: 29415757 PMCID: PMC5803867 DOI: 10.1186/s13075-018-1512-4] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 01/03/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND In addition to the kidney, the intestine is one of the most important organs involved in uric acid excretion. However, the mechanism of urate excretion in the intestine remains unclear. Therefore, the relationship between soluble uric acid and the gut excretion in human intestinal cells was explored. The relevant signaling molecules were then also examined. METHODS HT-29 and Caco-2 cell lines were stimulated with soluble uric acid. Western blotting and qRT-PCR were used to measure protein and mRNA levels. Subcellular fractionation methods and immunofluorescence were used to quantify the proteins in different subcellular compartments. Flow cytometry experiments examined the function of ATP-binding cassette transporter, subfamily G, member 2 (ABCG2). Small interfering RNA transfection was used to assess the interaction between ABCG2 and PDZ domain-containing 1 (PDZK1). RESULTS Soluble uric acid increased the expression of PDZK1 and ABCG2. The stimulation of soluble uric acid also facilitated the translocation of ABCG2 from the intracellular compartment to the plasma membrane and increased its transport activity. Moreover, the upregulation of PDZK1 and ABCG2 by soluble uric acid was partially decreased by either TLR4-NLRP3 inflammasome inhibitors or PI3K/Akt signaling inhibitors. Furthermore, PDZK1 knockdown significantly inhibited the expression and transport activity of ABCG2 regardless of the activation by soluble uric acid, demonstrating a pivotal role for PDZK1 in the regulation of ABCG2. CONCLUSIONS These findings suggest that urate upregulates the expression of PDZK1 and ABCG2 for excretion in intestinal cells via activating the TLR4-NLRP3 inflammasome and PI3K/Akt signaling pathway.
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Affiliation(s)
- Mo Chen
- Department of Rheumatology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, China.,Department of Nephrology, Hangzhou Hospital of Traditional Chinese Medicine, 310007, Hangzhou, China
| | - Xiaoyong Lu
- Department of Rheumatology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, China
| | - Ci Lu
- Department of Rheumatology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, China
| | - Ning Shen
- Department of Rheumatology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, China
| | - Yujie Jiang
- Department of Rheumatology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, China
| | - Menglu Chen
- Department of Rheumatology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, China
| | - Huaxiang Wu
- Department of Rheumatology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, China.
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20
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Ferreira C, Prestin K, Hussner J, Zimmermann U, Meyer Zu Schwabedissen HE. PDZ domain containing protein 1 (PDZK1), a modulator of membrane proteins, is regulated by the nuclear receptor THRβ. Mol Cell Endocrinol 2018; 461:215-225. [PMID: 28928085 DOI: 10.1016/j.mce.2017.09.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 07/25/2017] [Accepted: 09/13/2017] [Indexed: 01/17/2023]
Abstract
Genome wide association studies revealed single nucleotide polymorphisms (SNP) located within the promoter of PDZ domain containing protein 1 (PDZK1) to be associated with serum uric acid levels. Since modulation of transporters and particularly of membrane proteins involved in uric acid handling by PDZK1 has previously been reported, the aim of this study was to analyze the impact of the polymorphisms rs1967017, rs1471633, and rs12129861 on promoter activity and thereby transcription of PDZK1. Cell-based reporter gene assays showed transactivation of the PDZK1-promoter by triiodothyronine mediated by thyroid hormone receptors (THR) α and β. In silico analysis verified localization of the polymorphism rs1967017 within the most likely THR binding site whose deletion reduced THR-mediated transactivation. Furthermore, our study shows regulation of PDZK1 by thyroid hormones, thereby providing a mechanistic basis for the previously reported associations between thyroid hormone status and uric acid homeostasis.
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Affiliation(s)
- Celio Ferreira
- Department of Pharmaceutical Sciences, Biopharmacy, University of Basel, 4056 Basel, Switzerland
| | - Katharina Prestin
- Department of Pharmaceutical Sciences, Biopharmacy, University of Basel, 4056 Basel, Switzerland
| | - Janine Hussner
- Department of Pharmaceutical Sciences, Biopharmacy, University of Basel, 4056 Basel, Switzerland
| | - Uwe Zimmermann
- Clinic for Urology, University Medicine Greifswald, Greifswald, Germany
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21
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Kim SJ, Choi S, Kim M, Park C, Kim GL, Lee SO, Kang W, Rhee DK. Effect of Korean Red Ginseng extracts on drug-drug interactions. J Ginseng Res 2017; 42:370-378. [PMID: 29989018 PMCID: PMC6035379 DOI: 10.1016/j.jgr.2017.08.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 08/18/2017] [Indexed: 11/24/2022] Open
Abstract
Background Ginseng has been the subject of many experimental and clinical studies to uncover the diverse biological activities of its constituent compounds. It is a traditional medicine that has been used for its immunostimulatory, antithrombotic, antioxidative, anti-inflammatory, and anticancer effects. Ginseng may interact with concomitant medications and alter metabolism and/or drug transport, which may alter the known efficacy and safety of a drug; thus, the role of ginseng may be controversial when taken with other medications. Methods We extensively assessed the effects of Korean Red Ginseng (KRG) in rats on the expression of enzymes responsible for drug metabolism [cytochrome p450 (CYP)] and transporters [multiple drug resistance (MDR) and organic anion transporter (OAT)] in vitro and on the pharmacokinetics of two probe drugs, midazolam and fexofenadine, after a 2-wk repeated administration of KRG at different doses. Results The results showed that 30 mg/kg KRG significantly increased the expression level of CYP3A11 protein in the liver and 100 mg/kg KRG increased both the mRNA and protein expression of OAT1 in the kidney. Additionally, KRG significantly increased the mRNA and protein expression of OAT1, OAT3, and MDR1 in the liver. Although there were no significant changes in the metabolism of midazolam to its major metabolite, 1′-hydroxymidazolam, KRG significantly decreased the systemic exposure of fexofenadine in a dose-dependent manner. Conclusion Because KRG is used as a health supplement, there is a risk of KRG overdose; thus, a clinical trial of high doses would be useful. The use of KRG in combination with P-glycoprotein substrate drugs should also be carefully monitored.
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Affiliation(s)
- Se-Jin Kim
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea
| | - Seungmok Choi
- College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea
| | - Minsoo Kim
- College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea
| | - Changmin Park
- College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea
| | - Gyu-Lee Kim
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea
| | - Si-On Lee
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea
| | - Wonku Kang
- College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea
| | - Dong-Kwon Rhee
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea
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22
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Effects of multiple genetic loci on the pathogenesis from serum urate to gout. Sci Rep 2017; 7:43614. [PMID: 28252667 PMCID: PMC5333621 DOI: 10.1038/srep43614] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Accepted: 01/26/2017] [Indexed: 01/01/2023] Open
Abstract
Gout is a common arthritis resulting from increased serum urate, and many loci have been identified that are associated with serum urate and gout. However, their influence on the progression from elevated serum urate levels to gout is unclear. This study aims to explore systematically the effects of genetic variants on the pathogenesis in approximately 5,000 Chinese individuals. Six genes (PDZK1, GCKR, TRIM46, HNF4G, SLC17A1, LRRC16A) were determined to be associated with serum urate (PFDR < 0.05) in the Chinese population for the first time. ABCG2 and a novel gene, SLC17A4, contributed to the development of gout from hyperuricemia (OR = 1.56, PFDR = 3.68E-09; OR = 1.27, PFDR = 0.013, respectively). Also, HNF4G is a novel gene associated with susceptibility to gout (OR = 1.28, PFDR = 1.08E-03). In addition, A1CF and TRIM46 were identified as associated with gout in the Chinese population for the first time (PFDR < 0.05). The present study systematically determined genetic effects on the progression from elevated serum urate to gout and suggests that urate-associated genes functioning as urate transporters may play a specific role in the pathogenesis of gout. Furthermore, two novel gout-associated genes (HNF4G and SLC17A4) were identified.
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23
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Skwara P, Schömig E, Gründemann D. A novel mode of operation of SLC22A11: Membrane insertion of estrone sulfate versus translocation of uric acid and glutamate. Biochem Pharmacol 2016; 128:74-82. [PMID: 28027879 DOI: 10.1016/j.bcp.2016.12.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 12/23/2016] [Indexed: 01/18/2023]
Abstract
Estrone sulfate alias estrone-3-sulfate (E3S) is considerably larger and much more hydrophobic than typical substrates of SLC22 transporters. It is puzzling that many otherwise unrelated transporters have been reported to transport E3S. Here we scrutinized the mechanism of transport of E3S by SLC22A11 (alias OAT4), by direct comparison with uric acid (UA), an important physiological substrate. Heterologous expression of SLC22A11 in human 293 cells gave rise to a huge unidirectional efflux of glutamate (Glu) and aspartate, as determined by LC-MS/MS. The uptake of E3S was 20-fold faster than the uptake of UA. Yet, the outward transport of Glu was inhibited by extracellular E3S, but not by UA. The release of E3S after preloading was trans-stimulated by extracellular dehydroepiandrosterone sulfate (DHEAS), but neither by UA nor 6-carboxyfluorescein (6CF). The equilibrium accumulation of E3S was enhanced 3-fold by replacement of chloride with gluconate, but the opposite effect was observed for UA. These results establish that SLC22A11 provides entirely different transport mechanisms for E3S and UA. Therefore, E3S must not be used as a substitute for UA to assay the function of SLC22A11. In equilibrium accumulation experiments, the transporter-mediated uptake was a linear function of the concentration of UA and 6CF. By contrast, in the same concentration range the graph for E3S was hyperbolic. This suggests that SLC22A11 inserts E3S into a small volume with limited capacity, the plasma membrane. Our data support the notion that the reverse process, extraction from the membrane, is also catalyzed by the carrier.
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Affiliation(s)
- Peter Skwara
- Department of Pharmacology, University of Cologne, Gleueler Straße 24, 50931 Cologne, Germany
| | - Edgar Schömig
- Department of Pharmacology, University of Cologne, Gleueler Straße 24, 50931 Cologne, Germany
| | - Dirk Gründemann
- Department of Pharmacology, University of Cologne, Gleueler Straße 24, 50931 Cologne, Germany.
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24
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Sakoh T, Nakayama M, Tsuchihashi T, Yoshitomi R, Tanaka S, Katafuchi E, Fukui A, Shikuwa Y, Anzai N, Kitazono T, Tsuruya K. Associations of fibroblast growth factor 23 with urate metabolism in patients with chronic kidney disease. Metabolism 2016; 65:1498-507. [PMID: 27621185 DOI: 10.1016/j.metabol.2016.07.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 06/13/2016] [Accepted: 07/14/2016] [Indexed: 10/21/2022]
Abstract
OBJECTIVE In patients with preserved kidney function, a positive association of fibroblast growth factor 23 (FGF23) with serum uric acid (SUA) has been reported; however, the relationship in overall chronic kidney disease (CKD) patients has not been investigated. No report has examined the relationship between FGF23 and uric acid clearance (CUA). The aim of the present study was to determine whether FGF23 is independently associated with urate metabolism in patients with CKD stages 1-5. MATERIALS AND METHODS In this cross-sectional study, 537 CKD patients were enrolled. SUA, CUA, FGF23, parathyroid hormone (PTH), and 1,25-dihydroxyvitamin D (1,25(OH)2D) were measured. Multivariable linear regression analysis was applied to determine independent factors associated with SUA or CUA. RESULTS In all patients, both SUA and CUA were independently associated with male sex, use of diuretics, use of uric acid-lowering agents, estimated glomerular filtration rate, and log FGF23 (β=0.29, P<0.01 for SUA; β=-0.11, P<0.01 for CUA), but not with log PTH or log 1,25(OH)2D. Dyslipidemia and diabetes were also independent factors for SUA and CUA, respectively. In multivariable analyses by sex, log FGF23 was associated with SUA in both sexes (β=0.32, P<0.01 in males vs. β=0.20, P=0.02 in females). Conversely, log FGF23 was independently associated with CUA in males (β=-0.15, P<0.01), but not in females (β=-0.09, P=0.17). CONCLUSIONS FGF23 was independently associated with urate metabolism in this population of CKD patients. FGF23 might also have a stronger association with urate metabolism in males compared with females.
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Affiliation(s)
- Teppei Sakoh
- Division of Nephrology and Clinical Research Institute, Department of Internal Medicine, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka 810-8563, Japan; Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
| | - Masaru Nakayama
- Division of Nephrology and Clinical Research Institute, Department of Internal Medicine, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka 810-8563, Japan.
| | - Takuya Tsuchihashi
- Division of Hypertension, Department of Internal Medicine, Steel Memorial Yawata Hospital, 1-1-1 Harunomachi, Yahatahigashi-ku, Fukuoka 805-8508, Japan.
| | - Ryota Yoshitomi
- Division of Nephrology and Clinical Research Institute, Department of Internal Medicine, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka 810-8563, Japan; Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
| | - Shigeru Tanaka
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Internal Medicine, Fukuoka Dental College, 2-15-1 Tamura, Sawara-ku, Fukuoka 814-0193, Japan.
| | - Eisuke Katafuchi
- Division of Nephrology and Clinical Research Institute, Department of Internal Medicine, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka 810-8563, Japan.
| | - Akiko Fukui
- Division of Nephrology and Clinical Research Institute, Department of Internal Medicine, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka 810-8563, Japan.
| | - Yui Shikuwa
- Division of Nephrology and Clinical Research Institute, Department of Internal Medicine, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka 810-8563, Japan.
| | - Naohiko Anzai
- Department of Pharmacology, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan.
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
| | - Kazuhiko Tsuruya
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Integrated Therapy for Chronic Kidney Disease, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
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25
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Brouwers MCGJ, Jacobs C, Bast A, Stehouwer CDA, Schaper NC. Modulation of Glucokinase Regulatory Protein: A Double-Edged Sword? Trends Mol Med 2016; 21:583-594. [PMID: 26432016 DOI: 10.1016/j.molmed.2015.08.004] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 07/16/2015] [Accepted: 08/12/2015] [Indexed: 12/30/2022]
Abstract
The continuous search for drugs targeting type 2 diabetes mellitus (T2DM) has led to the identification of small molecules that disrupt the binding between glucokinase and glucokinase regulatory protein (GKRP). Although mice studies are encouraging, it will take years before these disruptors can be introduced to T2DM patients. Recently, genome-wide association studies (GWASs) have shown that variants in the gene encoding GKRP protect against T2DM and kidney disease but predispose to gout, nonalcoholic fatty liver disease, and dyslipidemia. These genetic data, together with previous experience with systemic and hepatospecific glucokinase activators, provide insight into the anticipated efficacy and safety of small-molecule disruptors in humans. Interestingly, they suggest that the opposite--enhanced GKRP-glucokinase binding--could be beneficial in selected patients.
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Affiliation(s)
- Martijn C G J Brouwers
- Department of Internal Medicine, Division of Endocrinology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands.
| | - Chantal Jacobs
- Department of Internal Medicine, Division of Endocrinology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Aalt Bast
- Department of Toxicology, Faculty of Health Medicine and Life Sciences, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Coen D A Stehouwer
- General Internal Medicine, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Nicolaas C Schaper
- Department of Internal Medicine, Division of Endocrinology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
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26
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Abstract
Elevated serum urate concentration is the primary cause of gout. Understanding the processes that affect serum urate concentration is important for understanding the etiology of gout and thereby understanding treatment. Urate handing in the human body is a complex system including three major processes: production, renal elimination, and intestinal elimination. A change in any one of these can affect both the steady-state serum urate concentration as well as other urate processes. The remarkable complexity underlying urate regulation and its maintenance at high levels in humans suggests that this molecule could potentially play an interesting role other than as a mere waste product to be eliminated as rapidly as possible.
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Affiliation(s)
- David Hyndman
- Ardea Biosciences, Inc., Biology Department, 9390 Towne Centre Drive, San Diego, CA, 92121, USA.
| | - Sha Liu
- Ardea Biosciences, Inc., Biology Department, 9390 Towne Centre Drive, San Diego, CA, 92121, USA
| | - Jeffrey N Miner
- Ardea Biosciences, Inc., Biology Department, 9390 Towne Centre Drive, San Diego, CA, 92121, USA
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27
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Shen J, Li Z, Chen J, Song Z, Zhou Z, Shi Y. SHEsisPlus, a toolset for genetic studies on polyploid species. Sci Rep 2016; 6:24095. [PMID: 27048905 PMCID: PMC4822172 DOI: 10.1038/srep24095] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 03/17/2016] [Indexed: 11/09/2022] Open
Abstract
Currently, algorithms and softwares for genetic analysis of diploid organisms with bi-allelic markers are well-established, while those for polyploids are limited. Here, we present SHEsisPlus, the online algorithm toolset for both dichotomous and quantitative trait genetic analysis on polyploid species (compatible with haploids and diploids, too). SHEsisPlus is also optimized for handling multiple-allele datasets. It's free, open source and also designed to perform a range of analyses, including haplotype inference, linkage disequilibrium analysis, epistasis detection, Hardy-Weinberg equilibrium and single locus association tests. Meanwhile, we developed an accurate and efficient haplotype inference algorithm for polyploids and proposed an entropy-based algorithm to detect epistasis in the context of quantitative traits. A study of both simulated and real datasets showed that our haplotype inference algorithm was much faster and more accurate than existing ones. Our epistasis detection algorithm was the first try to apply information theory to characterizing the gene interactions in quantitative trait datasets. Results showed that its statistical power was significantly higher than conventional approaches. SHEsisPlus is freely available on the web at http://shesisplus.bio-x.cn/. Source code is freely available for download at https://github.com/celaoforever/SHEsisPlus.
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Affiliation(s)
- Jiawei Shen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) and the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai 200030, P.R. China.,School of Bio-medical Engineering, Shanghai Jiao Tong University, Shanghai 200230, P.R. China.,Institute of Social Cognitive and Behavioral Sciences, Shanghai Jiao Tong University, Shanghai 200240, P.R. China
| | - Zhiqiang Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) and the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai 200030, P.R. China.,Institute of Social Cognitive and Behavioral Sciences, Shanghai Jiao Tong University, Shanghai 200240, P.R. China
| | - Jianhua Chen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) and the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai 200030, P.R. China.,Institute of Social Cognitive and Behavioral Sciences, Shanghai Jiao Tong University, Shanghai 200240, P.R. China
| | - Zhijian Song
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) and the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai 200030, P.R. China.,Institute of Social Cognitive and Behavioral Sciences, Shanghai Jiao Tong University, Shanghai 200240, P.R. China
| | - Zhaowei Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) and the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai 200030, P.R. China.,Shandong Provincial Key Laboratory of Metabolic Disease, the Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao 266003, China.,Institute of Clinical Research, the Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao 266003, China
| | - Yongyong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) and the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai 200030, P.R. China.,School of Bio-medical Engineering, Shanghai Jiao Tong University, Shanghai 200230, P.R. China.,Shanghai Changning Mental Health Center, Shanghai 200042, P.R. China.,Department of Psychiatry, the First Teaching Hospital of Xinjiang Medical University, Urumqi 830054, P.R. China
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28
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Takada Y, Matsuo H, Nakayama A, Sakiyama M, Hishida A, Okada R, Sakurai Y, Shimizu T, Ichida K, Shinomiya N. Common variant of PDZK1, adaptor protein gene of urate transporters, is not associated with gout. J Rheumatol 2016; 41:2330-1. [PMID: 25362723 DOI: 10.3899/jrheum.140573] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Yuzo Takada
- The Central Research Institute, National Defense Medical College, Tokorozawa
| | - Hirotaka Matsuo
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Tokorozawa;
| | - Akiyoshi Nakayama
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Tokorozawa
| | - Masayuki Sakiyama
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Tokorozawa
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya
| | - Yutaka Sakurai
- Department of Preventive Medicine and Public Health, National Defense Medical College, Tokorozawa
| | | | - Kimiyoshi Ichida
- Department of Pathophysiology, Tokyo University of Pharmacy and Life Sciences; Division of Kidney and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo
| | - Nariyoshi Shinomiya
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Tokorozawa, Japan
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29
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Wright DFB, Duffull SB, Merriman TR, Dalbeth N, Barclay ML, Stamp LK. Predicting allopurinol response in patients with gout. Br J Clin Pharmacol 2015; 81:277-89. [PMID: 26451524 DOI: 10.1111/bcp.12799] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Revised: 09/25/2015] [Accepted: 10/03/2015] [Indexed: 12/11/2022] Open
Abstract
AIMS The primary aim of this research was to predict the allopurinol maintenance doses required to achieve the target plasma urate of ≤0.36 mmol l(-1) . METHODS A population analysis was conducted in nonmem using oxypurinol and urate plasma concentrations from 133 gout patients. Maintenance dose predictions to achieve the recommended plasma urate target were generated. RESULTS The urate response was best described by a direct effects model. Renal function, diuretic use and body size were found to be significant covariates. Dose requirements increased approximately 2-fold over a 3-fold range of total body weight and were 1.25-2 fold higher in those taking diuretics. Renal function had only a modest impact on dose requirements. CONCLUSIONS Contrary to current guidelines, the model predicted that allopurinol dose requirements were determined primarily by differences in body size and diuretic use. A revised guide to the likely allopurinol doses to achieve the target plasma urate concentration is proposed.
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Affiliation(s)
| | | | | | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland
| | - Murray L Barclay
- Department of Medicine, University of Otago, Christchurch.,Department of Clinical Pharmacology, Christchurch Hospital, Christchurch, New Zealand
| | - Lisa K Stamp
- Department of Medicine, University of Otago, Christchurch
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Kim YS, Kim Y, Park G, Kim SK, Choe JY, Park BL, Kim HS. Genetic analysis of ABCG2 and SLC2A9 gene polymorphisms in gouty arthritis in a Korean population. Korean J Intern Med 2015; 30:913-20. [PMID: 26552468 PMCID: PMC4642022 DOI: 10.3904/kjim.2015.30.6.913] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2015] [Revised: 03/16/2015] [Accepted: 04/30/2015] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND/AIMS Gout is a common inf lammatory arthritis triggered by the crystallization of uric acid in the joints. Serum uric acid levels are highly heritable, suggesting a strong genetic component. Independent studies to confirm the genetic associations with gout in various ethnic populations are warranted. We investigated the association of polymorphisms in the ABCG2 and SLC2A9 genes with gout in Korean patients and healthy individuals. METHODS We consecutively enrolled 109 patients with gout and 102 healthy controls. The diagnosis of gout was based on the preliminary criteria of the America College of Rheumatology. Genomic DNA was extracted from whole blood samples. We identified single nucleotide polymorphism (SNP) changes in the ABCG2 and SLC2A9 genes using a direct sequencing technique. rs2231142 in ABCG2 and rs6449213 and rs16890979 in SLC2A9 and nearby regions were amplified by polymerase chain reaction. RESULTS Patients with gout had significantly higher A/A genotype (29.3% vs. 4.9%, respectively) and A allele (52.8% vs. 26.5%, respectively) frequencies of rs2231142 in ABCG2 than did controls (χ(2) = 29.42, p < 0.001; odds ratio, 3.32; 95% confidence interval, 2.11 to 5.20). We found novel polymorphisms (c.881A>G and c.1002+78G>A) in the SLC2A9 gene. The univariate logistic regression analysis revealed that the c.881A>G and c.1002+78G>A SNPs were significantly higher in patients than in controls. CONCLUSIONS We demonstrated a significant association between rs2231142 in the ABCG2 gene and gout and identified novel SNPs, c.881A>G and c.1002+78G>A, in the SLC2A9 gene that may be associated with gout in a Korean population.
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Affiliation(s)
- Yun Sung Kim
- Department of Internal Medicine, Chosun University School of Medicine, Gwangju, Korea
| | - Yunsuek Kim
- Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea
| | - Geon Park
- Department of Clinical Pathology, Chosun University School of Medicine, Gwangju, Korea
| | - Seong-Kyu Kim
- Department of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea
| | - Jung-Yoon Choe
- Department of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea
| | - Byung Lae Park
- Department of Genetic Epidemiology, SNP Genetics Inc., Seoul, Korea
| | - Hyun Sook Kim
- Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea
- Correspondence to Hyun-Sook Kim, M.D. Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul 04401, Korea Tel: +82-2-710-3214 Fax: +82-2-709-9554 E-mail:
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Zhou ZW, Cui LL, Han L, Wang C, Song ZJ, Shen JW, Li ZQ, Chen JH, Wen ZJ, Wang XM, Shi YY, Li CG. Polymorphisms in GCKR, SLC17A1 and SLC22A12 were associated with phenotype gout in Han Chinese males: a case-control study. BMC MEDICAL GENETICS 2015; 16:66. [PMID: 26290326 PMCID: PMC4593200 DOI: 10.1186/s12881-015-0208-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Accepted: 07/30/2015] [Indexed: 01/10/2023]
Abstract
Background Gout is a common arthritic disease resulting from elevated serum uric acid (SUA) level. A large meta-analysis including 28,141 individuals identified nine single nucleotide polymorphisms (SNPs) associated with altered SUA level in a Caucasian population. However, raised SUA level alone is not sufficient for the development of gout arthritis and most of these SNPs have not been studied in a Han Chinese population. Here, we performed a case–control association analysis to investigate the relationship between these SUA correlated SNPs and gout arthritis in Han Chinese. Methods A total of 622 ascertained gout p9atients and 917 healthy controls were genotyped. Genome-wide significant SNPs, rs12129861, rs780094, rs734553, rs742132, rs1183201, rs12356193, rs17300741 and rs505802 in the previous SUA study, were selected for our analysis. Results No deviation from the Hardy–Weinberg equilibrium was observed either in the case or control cohorts (corrected p > 0.05). Three SNPs, rs780094 (located in GCKR, corrected p = 1.78E−4, OR = 0.723), rs1183201 (located in SLC17A1, corrected p = 1.39E−7, OR = 0.572) and rs505802 (located in SLC22A12, corrected p = 0.007, OR = 0.747), were significantly associated with gout on allelic level independent of potential cofounding traits. While the remaining SNPs were not replicated. We also found significant associations of uric acid concentrations with these three SNPs (rs780094 in GCKR, corrected p = 3.94E−5; rs1183201 in SLC17A1, corrected p = 0.005; rs505802 in SLC22A12, corrected p = 0.003) and of triglycerides with rs780094 (located in GCKR, corrected p = 2.96E−4). Unfortunately, SNP-SNP interactions for these three significant SNPs were not detected (rs780094 vs rs1183201, p = 0.402; rs780094 vs rs505802, p = 0.434; rs1183201 vs rs505802, p = 0.143). Conclusions Three SUA correlated SNPs in Caucasian population, rs780094 in GCKR, rs1183201 in SLC17A1 and rs505802 in SLC22A12 were confirmed to be associated with gout arthritis and uric acid concentrations in Han Chinese males. Considering genetic differences among populations and complicated pathogenesis of gout arthritis, more validating tests in independent populations and relevant functional experiments are suggested in future.
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Affiliation(s)
- Zhao-Wei Zhou
- Shandong Gout Clinical Medical Center, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China. .,Shandong Provincial Key Laboratory of Metabolic Disease, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
| | - Ling-Ling Cui
- Shandong Gout Clinical Medical Center, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China. .,Shandong Provincial Key Laboratory of Metabolic Disease, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
| | - Lin Han
- Shandong Gout Clinical Medical Center, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China. .,Shandong Provincial Key Laboratory of Metabolic Disease, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
| | - Can Wang
- Shandong Gout Clinical Medical Center, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China. .,Shandong Provincial Key Laboratory of Metabolic Disease, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
| | - Zhi-Jian Song
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Jia-Wei Shen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Zhi-Qiang Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Jian-Hua Chen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Zu-Jia Wen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Xiao-Min Wang
- Shandong Gout Clinical Medical Center, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China. .,Shandong Provincial Key Laboratory of Metabolic Disease, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
| | - Yong-Yong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Chang-Gui Li
- Shandong Gout Clinical Medical Center, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China. .,Shandong Provincial Key Laboratory of Metabolic Disease, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
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Tomi M, Eguchi H, Ozaki M, Tawara T, Nishimura S, Higuchi K, Maruyama T, Nishimura T, Nakashima E. Role of OAT4 in Uptake of Estriol Precursor 16α-Hydroxydehydroepiandrosterone Sulfate Into Human Placental Syncytiotrophoblasts From Fetus. Endocrinology 2015; 156:2704-12. [PMID: 25919187 DOI: 10.1210/en.2015-1130] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Estriol biosynthesis in human placenta requires the uptake of a fetal liver-derived estriol precursor, 16α-hydroxydehydroepiandrosterone sulfate (16α-OH DHEAS), by placental syncytiotrophoblasts at their basal plasma membrane (BM), which faces the fetal circulation. The aim of this work is to identify the transporter(s) mediating 16α-OH DHEAS uptake at the fetal side of syncytiotrophoblasts by using human placental BM-enriched vesicles and to examine the contribution of the putative transporter to estriol synthesis at the cellular level, using choriocarcinoma JEG-3 cells. Organic anion transporter (OAT)-4 and organic anion transporting polypeptide 2B1 proteins were enriched in human placental BM vesicles compared with crude membrane fraction. Uptake of [(3)H]16α-OH DHEAS by BM vesicles was partially inhibited in the absence of sodium but was significantly increased in the absence of chloride and after preloading glutarate. Uptake of [(3)H]16α-OH DHEAS by BM vesicles was significantly inhibited by OAT4 substrates such as dehydroepiandrosterone sulfate, estrone-3-sulfate, and bromosulfophthalein but not by cyclosporin A, tetraethylammonium, p-aminohippuric acid, or cimetidine. These characteristics of vesicular [(3)H]16α-OH DHEAS uptake are in good agreement with those of human OAT4-transfected COS-7 cells as well as forskolin-differentiated JEG-3 cells. Estriol secretion from differentiated JEG-3 cells was detected when the cells were incubated with 16α-OH DHEAS for 8 hours but was inhibited in the presence of 50 μM bromosulfophthalein. Our results indicate that OAT4 at the BM of human placental syncytiotrophoblasts plays a predominant role in the uptake of 16α-OH DHEAS for placental estriol synthesis.
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Affiliation(s)
- Masatoshi Tomi
- Faculty of Pharmacy (M.T., H.E., M.O., T.T., S.N., K.H., T.N., E.N.), Keio University, Minato-ku 105-8512, Tokyo, Japan; School of Pharmaceutical Sciences (K.H.), Teikyo University, Itabashi-ku 173-8605, Tokyo, Japan; and Department of Obstetrics and Gynecology (T.M.), School of Medicine, Keio University, Shinjuku-ku 160-8512, Tokyo, Japan
| | - Hiromi Eguchi
- Faculty of Pharmacy (M.T., H.E., M.O., T.T., S.N., K.H., T.N., E.N.), Keio University, Minato-ku 105-8512, Tokyo, Japan; School of Pharmaceutical Sciences (K.H.), Teikyo University, Itabashi-ku 173-8605, Tokyo, Japan; and Department of Obstetrics and Gynecology (T.M.), School of Medicine, Keio University, Shinjuku-ku 160-8512, Tokyo, Japan
| | - Mayuko Ozaki
- Faculty of Pharmacy (M.T., H.E., M.O., T.T., S.N., K.H., T.N., E.N.), Keio University, Minato-ku 105-8512, Tokyo, Japan; School of Pharmaceutical Sciences (K.H.), Teikyo University, Itabashi-ku 173-8605, Tokyo, Japan; and Department of Obstetrics and Gynecology (T.M.), School of Medicine, Keio University, Shinjuku-ku 160-8512, Tokyo, Japan
| | - Tomohiro Tawara
- Faculty of Pharmacy (M.T., H.E., M.O., T.T., S.N., K.H., T.N., E.N.), Keio University, Minato-ku 105-8512, Tokyo, Japan; School of Pharmaceutical Sciences (K.H.), Teikyo University, Itabashi-ku 173-8605, Tokyo, Japan; and Department of Obstetrics and Gynecology (T.M.), School of Medicine, Keio University, Shinjuku-ku 160-8512, Tokyo, Japan
| | - Sachika Nishimura
- Faculty of Pharmacy (M.T., H.E., M.O., T.T., S.N., K.H., T.N., E.N.), Keio University, Minato-ku 105-8512, Tokyo, Japan; School of Pharmaceutical Sciences (K.H.), Teikyo University, Itabashi-ku 173-8605, Tokyo, Japan; and Department of Obstetrics and Gynecology (T.M.), School of Medicine, Keio University, Shinjuku-ku 160-8512, Tokyo, Japan
| | - Kei Higuchi
- Faculty of Pharmacy (M.T., H.E., M.O., T.T., S.N., K.H., T.N., E.N.), Keio University, Minato-ku 105-8512, Tokyo, Japan; School of Pharmaceutical Sciences (K.H.), Teikyo University, Itabashi-ku 173-8605, Tokyo, Japan; and Department of Obstetrics and Gynecology (T.M.), School of Medicine, Keio University, Shinjuku-ku 160-8512, Tokyo, Japan
| | - Tetsuo Maruyama
- Faculty of Pharmacy (M.T., H.E., M.O., T.T., S.N., K.H., T.N., E.N.), Keio University, Minato-ku 105-8512, Tokyo, Japan; School of Pharmaceutical Sciences (K.H.), Teikyo University, Itabashi-ku 173-8605, Tokyo, Japan; and Department of Obstetrics and Gynecology (T.M.), School of Medicine, Keio University, Shinjuku-ku 160-8512, Tokyo, Japan
| | - Tomohiro Nishimura
- Faculty of Pharmacy (M.T., H.E., M.O., T.T., S.N., K.H., T.N., E.N.), Keio University, Minato-ku 105-8512, Tokyo, Japan; School of Pharmaceutical Sciences (K.H.), Teikyo University, Itabashi-ku 173-8605, Tokyo, Japan; and Department of Obstetrics and Gynecology (T.M.), School of Medicine, Keio University, Shinjuku-ku 160-8512, Tokyo, Japan
| | - Emi Nakashima
- Faculty of Pharmacy (M.T., H.E., M.O., T.T., S.N., K.H., T.N., E.N.), Keio University, Minato-ku 105-8512, Tokyo, Japan; School of Pharmaceutical Sciences (K.H.), Teikyo University, Itabashi-ku 173-8605, Tokyo, Japan; and Department of Obstetrics and Gynecology (T.M.), School of Medicine, Keio University, Shinjuku-ku 160-8512, Tokyo, Japan
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33
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Huffman JE, Albrecht E, Teumer A, Mangino M, Kapur K, Johnson T, Kutalik Z, Pirastu N, Pistis G, Lopez LM, Haller T, Salo P, Goel A, Li M, Tanaka T, Dehghan A, Ruggiero D, Malerba G, Smith AV, Nolte IM, Portas L, Phipps-Green A, Boteva L, Navarro P, Johansson A, Hicks AA, Polasek O, Esko T, Peden JF, Harris SE, Murgia F, Wild SH, Tenesa A, Tin A, Mihailov E, Grotevendt A, Gislason GK, Coresh J, D'Adamo P, Ulivi S, Vollenweider P, Waeber G, Campbell S, Kolcic I, Fisher K, Viigimaa M, Metter JE, Masciullo C, Trabetti E, Bombieri C, Sorice R, Döring A, Reischl E, Strauch K, Hofman A, Uitterlinden AG, Waldenberger M, Wichmann HE, Davies G, Gow AJ, Dalbeth N, Stamp L, Smit JH, Kirin M, Nagaraja R, Nauck M, Schurmann C, Budde K, Farrington SM, Theodoratou E, Jula A, Salomaa V, Sala C, Hengstenberg C, Burnier M, Mägi R, Klopp N, Kloiber S, Schipf S, Ripatti S, Cabras S, Soranzo N, Homuth G, Nutile T, Munroe PB, Hastie N, Campbell H, Rudan I, Cabrera C, Haley C, Franco OH, Merriman TR, Gudnason V, Pirastu M, Penninx BW, Snieder H, Metspalu A, Ciullo M, Pramstaller PP, van Duijn CM, Ferrucci L, Gambaro G, Deary IJ, Dunlop MG, Wilson JF, Gasparini P, Gyllensten U, Spector TD, Wright AF, Hayward C, Watkins H, Perola M, Bochud M, Kao WHL, Caulfield M, Toniolo D, Völzke H, Gieger C, Köttgen A, Vitart V. Modulation of genetic associations with serum urate levels by body-mass-index in humans. PLoS One 2015; 10:e0119752. [PMID: 25811787 PMCID: PMC4374966 DOI: 10.1371/journal.pone.0119752] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2014] [Accepted: 02/03/2015] [Indexed: 11/17/2022] Open
Abstract
We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, Pinter= 2.6 x 10-8). Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDARADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10-8), a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10-8), regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10-4). Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.
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Affiliation(s)
- Jennifer E Huffman
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Eva Albrecht
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Massimo Mangino
- King's College London, St. Thomas' Hospital Campus, London, United Kingdom
| | - Karen Kapur
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Toby Johnson
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Nicola Pirastu
- Institute for Maternal and Child Health-Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) "Burlo Garofolo", Trieste, Italy; University of Trieste, Trieste, Italy
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Lorna M Lopez
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Toomas Haller
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Perttu Salo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Anuj Goel
- Department of Cardiovascular Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute on Aging, Baltimore, MD, United States of America
| | - Abbas Dehghan
- Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics "A. Buzzati-Traverso"-Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Giovanni Malerba
- Biology and Genetics section, Department of Life and Reproduction Sciences, University of Verona, Verona, Italy
| | - Albert V Smith
- Icelandic Heart Association Research Institute, Kopavogur, Iceland; University of Iceland, Reykjavik, Iceland
| | - Ilja M Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Laura Portas
- Institute of Population Genetics, National Research Council of Italy, Sassari, Italy
| | | | - Lora Boteva
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Pau Navarro
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Asa Johansson
- Uppsala Clinical Research Center, Uppsala University Hospital, Upsalla, Sweden; Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, 751 85, Sweden
| | - Andrew A Hicks
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy; Affiliated Institute of the University of Lübeck, Lübeck, Germany
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Croatia, Soltanska 2, Split, 21000, Croatia
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia; Broad Institute, Cambridge, MA, United States of America; Children's Hospital Boston, Boston, MA, United States of America
| | - John F Peden
- Department of Cardiovascular Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom; Medical Genetics Section, University of Edinburgh Centre for Genomics and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Edinburgh, United Kingdom
| | - Federico Murgia
- Institute of Population Genetics, National Research Council of Italy, Sassari, Italy
| | - Sarah H Wild
- Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Albert Tenesa
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom; Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | | | - Anne Grotevendt
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany
| | - Gauti K Gislason
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Welch Center for Prevention, Epidemiology and Clinical Research, John Hopkins University, Baltimore, MD, United States of America
| | - Pio D'Adamo
- Institute for Maternal and Child Health-Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) "Burlo Garofolo", Trieste, Italy; University of Trieste, Trieste, Italy
| | - Sheila Ulivi
- Institute for Maternal and Child Health-Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) "Burlo Garofolo", Trieste, Italy
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Gerard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Susan Campbell
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Ivana Kolcic
- Faculty of Medicine, University of Split, Croatia, Soltanska 2, Split, 21000, Croatia
| | - Krista Fisher
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Margus Viigimaa
- Tallinn University of Technology, Department of Biomedical Engineering, Chair of Medical Physics, Tallinn, Estonia; Centre of Cardiology, North Estonia Medical Centre, Tallinn, Estonia
| | - Jeffrey E Metter
- Clinical Research Branch, National Institute on Aging, Baltimore, MD, United States of America
| | - Corrado Masciullo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Elisabetta Trabetti
- Biology and Genetics section, Department of Life and Reproduction Sciences, University of Verona, Verona, Italy
| | - Cristina Bombieri
- Biology and Genetics section, Department of Life and Reproduction Sciences, University of Verona, Verona, Italy
| | - Rossella Sorice
- Institute of Genetics and Biophysics "A. Buzzati-Traverso"-Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Angela Döring
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology I, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Eva Reischl
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-University, Munich, Germany
| | - Albert Hofman
- Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Andre G Uitterlinden
- Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Melanie Waldenberger
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - H-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-University, Munich, Germany; Klinikum Grosshadern, Munich, Germany
| | - Gail Davies
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Alan J Gow
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Nicola Dalbeth
- Bone and Joint Research Group, Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Lisa Stamp
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Johannes H Smit
- Department of Psychiatry/EMGO Institute, VU University Medical Centre, Amsterdam, the Netherlands
| | - Mirna Kirin
- Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Ramaiah Nagaraja
- Laboratory of Genetics, National Institute on Aging (NIA), Baltimore, MD, United States of America
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany
| | - Claudia Schurmann
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Kathrin Budde
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany
| | - Susan M Farrington
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Evropi Theodoratou
- Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Antti Jula
- Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Turku, Finland
| | - Veikko Salomaa
- Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | | | - Michel Burnier
- Department of Medicine, Nephrology Division, Lausanne University Hospital, Lausanne, Switzerland
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Norman Klopp
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-University, Munich, Germany
| | | | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Samuli Ripatti
- Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Turku, Finland; Human Genetics, Wellcome Trust Sanger Institute, Hinxton, United Kingdom; University of Helsinki, Institute of Molecular Medicine, Helsinki, Finland
| | - Stefano Cabras
- Department of Mathematics and Informatics, Università di Cagliari, Cagliari, Italy; Department of Statistics, Universidad Carlos III de Madrid, Madrid, Spain
| | - Nicole Soranzo
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, United Kingdom
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Teresa Nutile
- Institute of Genetics and Biophysics "A. Buzzati-Traverso"-Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Patricia B Munroe
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Nicholas Hastie
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Harry Campbell
- Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Igor Rudan
- Faculty of Medicine, University of Split, Croatia, Soltanska 2, Split, 21000, Croatia; Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | | | - Chris Haley
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom; Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Oscar H Franco
- Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Vilmundur Gudnason
- Icelandic Heart Association Research Institute, Kopavogur, Iceland; University of Iceland, Reykjavik, Iceland
| | - Mario Pirastu
- Institute of Population Genetics, National Research Council of Italy, Sassari, Italy
| | - Brenda W Penninx
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Department of Epidemiology, Subdivision Genetic Epidemiology, Erasmus MC, Rotterdam, The Netherlands; Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | - Marina Ciullo
- Institute of Genetics and Biophysics "A. Buzzati-Traverso"-Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Peter P Pramstaller
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy; Affiliated Institute of the University of Lübeck, Lübeck, Germany
| | - Cornelia M van Duijn
- Department of Epidemiology, Subdivision Genetic Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute on Aging, Baltimore, MD, United States of America
| | - Giovanni Gambaro
- Institute of Internal Medicine, Renal Program, Columbus-Gemelli University Hospital, Catholic University, Rome, Italy
| | - Ian J Deary
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Malcolm G Dunlop
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - James F Wilson
- Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Paolo Gasparini
- Institute for Maternal and Child Health-Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) "Burlo Garofolo", Trieste, Italy; University of Trieste, Trieste, Italy
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, 751 85, Sweden
| | - Tim D Spector
- King's College London, St. Thomas' Hospital Campus, London, United Kingdom
| | - Alan F Wright
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Caroline Hayward
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
| | - Hugh Watkins
- on behalf of PROCARDIS; Department of Cardiovascular Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Markus Perola
- Estonian Genome Center, University of Tartu, Tartu, Estonia; Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Helsinki, Finland; University of Helsinki, Institute of Molecular Medicine, Helsinki, Finland
| | - Murielle Bochud
- University Institute of Social and Preventive Medicine, Lausanne, Switzerland
| | - W H Linda Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Welch Center for Prevention, Epidemiology and Clinical Research, John Hopkins University, Baltimore, MD, United States of America
| | - Mark Caulfield
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Renal Division, Freiburg University Hospital, Freiburg, Germany
| | - Veronique Vitart
- Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom
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Han X, Gui L, Liu B, Wang J, Li Y, Dai X, Li J, Yang B, Qiu G, Feng J, Zhang X, Wu T, He M. Associations of the uric acid related genetic variants in SLC2A9 and ABCG2 loci with coronary heart disease risk. BMC Genet 2015; 16:4. [PMID: 25634581 PMCID: PMC4314773 DOI: 10.1186/s12863-015-0162-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 01/05/2015] [Indexed: 12/01/2022] Open
Abstract
Background Multiple studies investigated the associations between serum uric acid and coronary heart disease (CHD) risk. However, further investigations still remain to be carried out to determine whether there exists a causal relationship between them. We aim to explore the associations between genetic variants in uric acid related loci of SLC2A9 and ABCG2 and CHD risk in a Chinese population. Results A case–control study including 1,146 CHD cases and 1,146 controls was conducted. Association analysis between two uric acid related variants (SNP rs11722228 in SLC2A9 and rs4148152 in ABCG2) and CHD risk was performed by logistic regression model. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Compared with subjects with A allele of rs4148152, those with G allele had a decreased CHD risk and the association remained significant in a multivariate model. However, it altered to null when BMI was added into the model. No significant association was observed between rs11722228 and CHD risk. The distribution of CHD risk factors was not significantly different among different genotypes of both SNPs. Among subjects who did not consume alcohol, the G allele of rs4148152 showed a moderate protective effect. However, no significant interactions were observed between SNP by CHD risk factors on CHD risk. Conclusions There might be no association between the two uric acid related SNPs with CHD risk. Further studies were warranted to validate these results. Electronic supplementary material The online version of this article (doi:10.1186/s12863-015-0162-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xu Han
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Lixuan Gui
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Bing Liu
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Jing Wang
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Yaru Li
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Xiayun Dai
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Jun Li
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Binyao Yang
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Gaokun Qiu
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Jing Feng
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Xiaomin Zhang
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Tangchun Wu
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
| | - Meian He
- Institute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. .,MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 13 Hangkong Rd, Wuhan, Hubei, 430030, China.
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Common variants related to serum uric acid concentrations are associated with glucose metabolism and insulin secretion in a Chinese population. PLoS One 2015; 10:e0116714. [PMID: 25617895 PMCID: PMC4305305 DOI: 10.1371/journal.pone.0116714] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2014] [Accepted: 12/13/2014] [Indexed: 01/11/2023] Open
Abstract
Background Elevated serum uric acid concentration is an independent risk factor and predictor of type 2 diabetes (T2D). Whether the uric acid-associated genes have an impact on T2D remains unclear. We aimed to investigate the effects of the uric acid-associated genes on the risk of T2D as well as glucose metabolism and insulin secretion. Method We recruited 2,199 normal glucose tolerance subjects from the Shanghai Diabetes Study I and II and 2,999 T2D patients from the inpatient database of Shanghai Diabetes Institute. Fifteen single nucleotide polymorphisms (SNPs) mapped in or near 11 loci (PDZK1, GCKR, LRP2, SLC2A9, ABCG2, LRRC16A, SLC17A1, SLC17A3, SLC22A11, SLC22A12 and SF1) were genotyped and serum biochemical parameters related to uric acid and T2D were determined. Results SF1 rs606458 showed strong association to T2D in both males and females (p = 0.034 and 0.0008). In the males, LRRC16A was associated with 2-h insulin and insulin secretion (p = 0.009 and 0.009). SLC22A11 was correlated with HOMA-B and insulin secretion (p = 0.048 and 0.029). SLC2A9 rs3775948 was associated with 2-h glucose (p = 0.043). In the females, LRP2 rs2544390 and rs1333049 showed correlations with fasting insulin, HOMA-IR and insulin secretion (p = 0.028, 0.033 and 0.052 and p = 0.034, 0.047 and 0.038, respectively). SLC2A9 rs11722228 was correlated with 2-h glucose, 2-h insulin and insulin secretion (p = 0.024, 0.049 and 0.049, respectively). Conclusions Our results indicated that the uric acid-associated genes have an impact on the risk of T2D, glucose metabolism and insulin secretion in a Chinese population.
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Etiology and pathogenesis of gout. Rheumatology (Oxford) 2015. [DOI: 10.1016/b978-0-323-09138-1.00187-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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Nigam SK, Bush KT, Martovetsky G, Ahn SY, Liu HC, Richard E, Bhatnagar V, Wu W. The organic anion transporter (OAT) family: a systems biology perspective. Physiol Rev 2015; 95:83-123. [PMID: 25540139 PMCID: PMC4281586 DOI: 10.1152/physrev.00025.2013] [Citation(s) in RCA: 301] [Impact Index Per Article: 33.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The organic anion transporter (OAT) subfamily, which constitutes roughly half of the SLC22 (solute carrier 22) transporter family, has received a great deal of attention because of its role in handling of common drugs (antibiotics, antivirals, diuretics, nonsteroidal anti-inflammatory drugs), toxins (mercury, aristolochic acid), and nutrients (vitamins, flavonoids). Oats are expressed in many tissues, including kidney, liver, choroid plexus, olfactory mucosa, brain, retina, and placenta. Recent metabolomics and microarray data from Oat1 [Slc22a6, originally identified as NKT (novel kidney transporter)] and Oat3 (Slc22a8) knockouts, as well as systems biology studies, indicate that this pathway plays a central role in the metabolism and handling of gut microbiome metabolites as well as putative uremic toxins of kidney disease. Nuclear receptors and other transcription factors, such as Hnf4α and Hnf1α, appear to regulate the expression of certain Oats in conjunction with phase I and phase II drug metabolizing enzymes. Some Oats have a strong selectivity for particular signaling molecules, including cyclic nucleotides, conjugated sex steroids, odorants, uric acid, and prostaglandins and/or their metabolites. According to the "Remote Sensing and Signaling Hypothesis," which is elaborated in detail here, Oats may function in remote interorgan communication by regulating levels of signaling molecules and key metabolites in tissues and body fluids. Oats may also play a major role in interorganismal communication (via movement of small molecules across the intestine, placental barrier, into breast milk, and volatile odorants into the urine). The role of various Oat isoforms in systems physiology appears quite complex, and their ramifications are discussed in the context of remote sensing and signaling.
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Affiliation(s)
- Sanjay K Nigam
- Departments of Pediatrics, Medicine, Cellular and Molecular Medicine, Bioengineering, and Family and Preventative Medicine, University of California, San Diego, La Jolla, California
| | - Kevin T Bush
- Departments of Pediatrics, Medicine, Cellular and Molecular Medicine, Bioengineering, and Family and Preventative Medicine, University of California, San Diego, La Jolla, California
| | - Gleb Martovetsky
- Departments of Pediatrics, Medicine, Cellular and Molecular Medicine, Bioengineering, and Family and Preventative Medicine, University of California, San Diego, La Jolla, California
| | - Sun-Young Ahn
- Departments of Pediatrics, Medicine, Cellular and Molecular Medicine, Bioengineering, and Family and Preventative Medicine, University of California, San Diego, La Jolla, California
| | - Henry C Liu
- Departments of Pediatrics, Medicine, Cellular and Molecular Medicine, Bioengineering, and Family and Preventative Medicine, University of California, San Diego, La Jolla, California
| | - Erin Richard
- Departments of Pediatrics, Medicine, Cellular and Molecular Medicine, Bioengineering, and Family and Preventative Medicine, University of California, San Diego, La Jolla, California
| | - Vibha Bhatnagar
- Departments of Pediatrics, Medicine, Cellular and Molecular Medicine, Bioengineering, and Family and Preventative Medicine, University of California, San Diego, La Jolla, California
| | - Wei Wu
- Departments of Pediatrics, Medicine, Cellular and Molecular Medicine, Bioengineering, and Family and Preventative Medicine, University of California, San Diego, La Jolla, California
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Abstract
PURPOSE African Americans have a substantially higher prevalence of risk factors for gout than Caucasians. The aim of the present study was to compare the risk for incident gout among African Americans and Caucasians. METHODS Incidence rates of physician-diagnosed gout among 11,559 Caucasian men and 931 African American men aged 35 to 57 years and at high cardiovascular risk, observed for 7 years as a part of the Multiple Risk Factor Intervention Trial, were analyzed. Cox regression models were used to account for potential confounding by age, body mass index, diuretic use, hypertension and diabetes status, aspirin and alcohol consumption, and kidney disease. RESULTS At baseline, after accounting for risk factors, African Americans had a 14% lower prevalence of hyperuricemia than Caucasians. Incidence of gout increased with increasing prevalence of risk factors in both Caucasians and African Americans. Ethnic disparities in incidence rates were most apparent among those without other risk factors for gout. In separate Cox regression models, after accounting for risk factors, African American ethnicity was associated with a hazard ratio of 0.78 (95% confidence interval [CI], 0.66-0.93) for physician-diagnosed gout and 0.88 (95% CI, 0.85-0.90) for incident hyperuricemia. Significant interactions were observed; the association was the strongest (hazard ratio 0.47; 0.37-0.60). These associations were unaffected by addition of serum urate as a covariate or by using alternate case definitions for gout. CONCLUSIONS After accounting for the higher prevalence of risk factors, African American ethnicity is associated with a significantly lower risk for gout and hyperuricemia compared with Caucasian ethnicity.
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Affiliation(s)
- Eswar Krishnan
- Department of Medicine, Stanford University School of Medicine, Palo Alto, Calif.
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Charles BA, Shriner D, Rotimi CN. Accounting for linkage disequilibrium in association analysis of diverse populations. Genet Epidemiol 2014; 38:265-73. [PMID: 24464495 DOI: 10.1002/gepi.21788] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Revised: 11/14/2013] [Accepted: 12/03/2013] [Indexed: 12/25/2022]
Abstract
The National Human Genome Research Institute's catalog of published genome-wide association studies (GWAS) lists over 10,000 genetic variants collectively associated with over 800 human diseases or traits. Most of these GWAS have been conducted in European-ancestry populations. Findings gleaned from these studies have led to identification of disease-associated loci and biologic pathways involved in disease etiology. In multiple instances, these genomic findings have led to the development of novel medical therapies or evidence for prescribing a given drug as the appropriate treatment for a given individual beyond phenotypic appearances or socially defined constructs of race or ethnicity. Such findings have implications for populations throughout the globe and GWAS are increasingly being conducted in more diverse populations. A major challenge for investigators seeking to follow up genomic findings between diverse populations is discordant patterns of linkage disequilibrium (LD). We provide an overview of common measures of LD and opportunities for their use in novel methods designed to address challenges associated with following up GWAS conducted in European-ancestry populations in African-ancestry populations or, more generally, between populations with discordant LD patterns. We detail the strengths and weaknesses associated with different approaches. We also describe application of these strategies in follow-up studies of populations with concordant LD patterns (replication) or discordant LD patterns (transferability) as well as fine-mapping studies. We review application of these methods to a variety of traits and diseases.
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Affiliation(s)
- Bashira A Charles
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
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Sakiyama M, Matsuo H, Shimizu S, Nakashima H, Nakayama A, Chiba T, Naito M, Takada T, Suzuki H, Hamajima N, Ichida K, Shimizu T, Shinomiya N. A Common Variant of Organic Anion Transporter 4 (OAT4/SLC22A11) Gene Is Associated with Renal Underexcretion Type Gout. Drug Metab Pharmacokinet 2014; 29:208-10. [DOI: 10.2133/dmpk.dmpk-13-nt-070] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Koepsell H. The SLC22 family with transporters of organic cations, anions and zwitterions. Mol Aspects Med 2013; 34:413-35. [PMID: 23506881 DOI: 10.1016/j.mam.2012.10.010] [Citation(s) in RCA: 275] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2012] [Accepted: 08/18/2012] [Indexed: 12/14/2022]
Abstract
The SLC22 family contains 13 functionally characterized human plasma membrane proteins each with 12 predicted α-helical transmembrane domains. The family comprises organic cation transporters (OCTs), organic zwitterion/cation transporters (OCTNs), and organic anion transporters (OATs). The transporters operate as (1) uniporters which mediate facilitated diffusion (OCTs, OCTNs), (2) anion exchangers (OATs), and (3) Na(+)/zwitterion cotransporters (OCTNs). They participate in small intestinal absorption and hepatic and renal excretion of drugs, xenobiotics and endogenous compounds and perform homeostatic functions in brain and heart. Important endogeneous substrates include monoamine neurotransmitters, l-carnitine, α-ketoglutarate, cAMP, cGMP, prostaglandins, and urate. It has been shown that mutations of the SLC22 genes encoding these transporters cause specific diseases like primary systemic carnitine deficiency and idiopathic renal hypouricemia and are correlated with diseases such as Crohn's disease and gout. Drug-drug interactions at individual transporters may change pharmacokinetics and toxicities of drugs.
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Affiliation(s)
- Hermann Koepsell
- University of Würzburg, Institute of Anatomy and Cell Biology, Koellikerstr. 6, 97070 Würzburg, Germany.
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Common missense variant of monocarboxylate transporter 9 (MCT9/SLC16A9) gene is associated with renal overload gout, but not with all gout susceptibility. Hum Cell 2013; 26:133-6. [PMID: 23990105 PMCID: PMC3844819 DOI: 10.1007/s13577-013-0073-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2013] [Accepted: 07/22/2013] [Indexed: 11/06/2022]
Abstract
Gout is a common disease caused by hyperuricemia, which shows elevated serum uric acid (SUA) levels. From a viewpoint of urate handling in humans, gout patients can be divided into those with renal overload (ROL) gout with intestinal urate underexcretion, and those with renal underexcretion (RUE) gout. Recent genome-wide association studies (GWAS) revealed an association between SUA and a variant in human monocarboxylate transporter 9 (MCT9/SLC16A9) gene. Although the function of MCT9 remains unclear, urate is mostly excreted via intestine and kidney where MCT9 expression is observed. In this study, we investigated the relationship between a variant of MCT9 and gout in 545 patients and 1,115 healthy volunteers. A missense variant of MCT9 (K258T), rs2242206, significantly increased the risk of ROL gout (p = 0.012), with odds ratio (OR) of 1.28, although it revealed no significant association with all gout cases (p = 0.10), non-ROL gout cases (p = 0.83), and RUE gout cases (p = 0.34). In any case groups and the control group, minor allele frequencies of rs2242206 were >0.40. Therefore, rs2242206 is a common missense variant and is revealed to have an association with ROL gout, indicating that rs2242206 relates to decreased intestinal urate excretion rather than decreased renal urate excretion. Our study provides clues to better understand the pathophysiology of gout as well as the physiological roles of MCT9.
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George RL, Keenan RT. Genetics of hyperuricemia and gout: implications for the present and future. Curr Rheumatol Rep 2013; 15:309. [PMID: 23307580 DOI: 10.1007/s11926-012-0309-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Gout is the most common inflammatory arthropathy and occurs in the setting of elevated serum urate levels. Gout is also known to be associated with multiple comorbidities including cardiovascular disease and the metabolic syndrome. Recent advances in research have increased our understanding and improved our knowledge of the pathophysiology of gout. Genome-wide association studies have permitted the identification of several new and common genetic factors that contribute to hyperuricemia and gout. Most of these are involved with the renal urate transport system (the uric acid transportasome), generally considered the most influential regulator of serum urate homeostasis. Thus far, SCL22A12, SCL2A9, and GLUT9 have been found to have the greatest variation and most influence on serum urate levels. However, genetics are only a part of the explanation in the development of hyperuricemia and gout. As results have been mixed, the role of known urate influential genes in gout's associated comorbidities remains unclear. Regardless, GWAS findings have expanded our understanding of the pathophysiology of hyperuricemia and gout, and will likely play a role in the development of future therapies and treatment of this ancient disease.
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Affiliation(s)
- Ronald L George
- Division of Rheumatology and Immunology, Duke University School of Medicine, DUMC, NC 27710, USA
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Urano W, Taniguchi A, Inoue E, Sekita C, Ichikawa N, Koseki Y, Kamatani N, Yamanaka H. Effect of Genetic Polymorphisms on Development of Gout. J Rheumatol 2013; 40:1374-8. [DOI: 10.3899/jrheum.121244] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Objective.To validate the association between genetic polymorphisms and gout in Japanese patients, and to investigate the cumulative effects of multiple genetic factors on the development of gout.Methods.Subjects were 153 Japanese male patients with gout and 532 male controls. The genotypes of 11 polymorphisms in the 10 genes that have been indicated to be associated with serum uric acid levels or gout were determined. The cumulative effects of the genetic polymorphisms were investigated using a weighted genotype risk score (wGRS) based on the number of risk alleles and the OR for gout. A model to discriminate between patients with gout and controls was constructed by incorporating the wGRS and clinical factors. C statistics method was applied to evaluate the capability of the model to discriminate gout patients from controls.Results.Seven polymorphisms were shown to be associated with gout. The mean wGRS was significantly higher in patients with gout (15.2 ± 2.01) compared to controls (13.4 ± 2.10; p < 0.0001). The C statistic for the model using genetic information alone was 0.72, while the C statistic was 0.81 for the full model that incorporated all genetic and clinical factors.Conclusion.Accumulation of multiple genetic factors is associated with the development of gout. A prediction model for gout that incorporates genetic and clinical factors may be useful for identifying individuals who are at risk of gout.
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González-Aramburu I, Sánchez-Juan P, Jesús S, Gorostidi A, Fernández-Juan E, Carrillo F, Sierra M, Gómez-Garre P, Cáceres-Redondo MT, Berciano J, Ruiz-Martínez J, Combarros O, Mir P, Infante J. Genetic variability related to serum uric acid concentration and risk of Parkinson's disease. Mov Disord 2013; 28:1737-40. [PMID: 23712608 DOI: 10.1002/mds.25507] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2012] [Revised: 03/28/2013] [Accepted: 04/09/2013] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Low serum uric acid (UA) levels have been associated with increased Parkinson's disease (PD) risk and accelerated disease progression. We analyzed the effect of polymorphisms in 9 genes influencing serum UA concentration on the risk of PD. METHODS We genotyped SLC2A9 rs734553, ABCG2 rs2231142, SLC17A1 rs1183201, SLC22A11 rs17300741, SLC22A12 rs505802, GCKR rs780094, PDZK1 rs12129861, LRRC16A+SCGN rs742132, and SLC16A9 rs12356193 in 1061 PD patients and 754 controls. For each subject we calculated a cumulative genetic risk score (GRS), defined as the total number of PD-risk alleles (range, 2-15) associated to lower serum UA levels. Serum UA levels were measured in a subgroup of 365 PD cases and 132 controls. RESULTS Serum UA levels were significantly lower in men with PD than in controls. Subjects (both men and women) carrying more than 9 risk alleles (third GRS tertile) had a 1.5 higher risk of developing PD than subjects with less than 8 risk alleles (first GRS tertile). An inverse correlation was observed between higher GRS and lower serum UA concentration in both men and women. CONCLUSIONS Genetic variability influencing serum UA levels might modify susceptibility to PD.
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Affiliation(s)
- Isabel González-Aramburu
- Service of Neurology, Universitary Hospital Marqués de Valdecilla (IFIMAV), University of Cantabria (UC), Santander, Spain
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Wright DFB, Stamp LK, Merriman TR, Barclay ML, Duffull SB, Holford NHG. The population pharmacokinetics of allopurinol and oxypurinol in patients with gout. Eur J Clin Pharmacol 2013; 69:1411-21. [DOI: 10.1007/s00228-013-1478-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2013] [Accepted: 02/02/2013] [Indexed: 11/28/2022]
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Takeuchi F, Yamamoto K, Isono M, Katsuya T, Akiyama K, Ohnaka K, Rakugi H, Yamori Y, Ogihara T, Takayanagi R, Kato N. Genetic impact on uric acid concentration and hyperuricemia in the Japanese population. J Atheroscler Thromb 2012; 20:351-67. [PMID: 23238572 DOI: 10.5551/jat.15727] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
AIM Using general Japanese populations, we performed a replication study of genetic loci previously identified in European-descent populations as being associated with uric acid and gout. The relative contribution of non-genetic and genetic factors to the variances in serum uric acid concentration was then evaluated. METHODS Seven single nucleotide polymorphisms (SNPs) were genotyped from 7 candidate loci robustly confirmed in Europeans. Genotyping was performed in up to 17,226 individuals, from which 237 hyperuricemia cases and 3,218 controls were chosen for a case-control study. For 6 SNPs showing a replication of uric acid association in 17,076 general population samples, we further tested the associations with other metabolic traits (n≤5,745) and with type 2 diabetes (931 cases and 1404 controls) and coronary artery disease (806 cases and 1337 controls). RESULTS Significant uric acid associations (one-tailed p<0.05) were replicated for 6 loci in Japanese. The strongest association was detected at SLC22A12 rs505802 for uric acid (p=2.4×10(-50)) and ABCG2 rs2231142 for hyperuricemia (p3.6×10(-10)). The combined genetic effect could explain some proportion of inter-individual variation in uric acid (R(2)=0.03) and was more or less comparable to the effect of well-recognized risk factors -BMI (R(2)=0.04) and alcohol intake (R(2)=0.01). The tested SNPs were not significantly associated with cardiovascular risk traits except for GCKR rs780094. CONCLUSION Our results confirm that 6 common uric acid variant loci are reproducible in Japanese. Further investigation is warranted to efficiently use the knowledge about genetic factors in combination with modifiable risk factors when we decide an individual's treatment strategy for hyperuricemia.
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Affiliation(s)
- Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
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Bobulescu IA, Moe OW. Renal transport of uric acid: evolving concepts and uncertainties. Adv Chronic Kidney Dis 2012; 19:358-71. [PMID: 23089270 PMCID: PMC3619397 DOI: 10.1053/j.ackd.2012.07.009] [Citation(s) in RCA: 235] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2012] [Accepted: 07/17/2012] [Indexed: 02/07/2023]
Abstract
In addition to its role as a metabolic waste product, uric acid has been proposed to be an important molecule with multiple functions in human physiologic and pathophysiologic processes and may be linked to human diseases beyond nephrolithiasis and gout. Uric acid homeostasis is determined by the balance between production, intestinal secretion, and renal excretion. The kidney is an important regulator of circulating uric acid levels by reabsorbing about 90% of filtered urate and being responsible for 60% to 70% of total body uric acid excretion. Defective renal handling of urate is a frequent pathophysiologic factor underpinning hyperuricemia and gout. Despite tremendous advances over the past decade, the molecular mechanisms of renal urate transport are still incompletely understood. Many transport proteins are candidate participants in urate handling, with URAT1 and GLUT9 being the best characterized to date. Understanding these transporters is increasingly important for the practicing clinician as new research unveils their physiologic characteristics, importance in drug action, and genetic association with uric acid levels in human populations. The future may see the introduction of new drugs that act specifically on individual renal urate transporters for the treatment of hyperuricemia and gout.
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Affiliation(s)
- Ion Alexandru Bobulescu
- Departments of Internal Medicine and Physiology and the Charles and Jane Pak Center for Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX 75390-8856, USA.
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Agius L. High-carbohydrate diets induce hepatic insulin resistance to protect the liver from substrate overload. Biochem Pharmacol 2012; 85:306-12. [PMID: 23022226 DOI: 10.1016/j.bcp.2012.09.019] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2012] [Revised: 09/17/2012] [Accepted: 09/18/2012] [Indexed: 12/14/2022]
Abstract
In population studies hepatic steatosis in subjects with Non-alcoholic fatty liver disease (NAFLD) is strongly associated with insulin resistance. This association has encouraged debate whether hepatic steatosis is the cause or the consequence of hepatic insulin resistance? Although genome-wide studies have identified several gene variants associated with either hepatic steatosis or type 2 diabetes, no variants have been identified associated with both hepatic steatosis and insulin resistance. Here, the hypothesis is proposed that high-carbohydrate diets contribute to the association between hepatic steatosis and insulin resistance through activation of the transcription factor ChREBP (Carbohydrate response element binding protein). Postprandial hyperglycaemia raises the hepatic concentrations of phosphorylated intermediates causing activation of ChREBP and induction of its target genes. These include not only enzymes of glycolysis and lipogenesis that predispose to hepatic steatosis but also glucose 6-phosphatase (G6PC) that catalyses the final reaction in glucose production and GCKR, the inhibitor of hepatic glucokinase that curtails hepatic glucose uptake. Induction of G6PC and GCKR manifests as hepatic glucose intolerance or insulin resistance. Induction of these two genes by high glucose serves to safeguard intrahepatic homeostasis of phosphorylated intermediates. The importance of GCKR in this protective mechanism is supported by "less-active" GCKR variants in association not only with hepatic steatosis and hyperuricaemia but also with lower fasting plasma glucose and decreased insulin resistance. This supports a role for GCKR in restricting hepatic glucose phosphorylation to maintain intrahepatic homeostasis. Pharmacological targeting of the glucokinase-GCKR interaction can favour either glucose clearance by the liver or intrahepatic metabolite homeostasis.
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Affiliation(s)
- Loranne Agius
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
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