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Chen Y, Yang Y, Zhong Y, Li J, Kong T, Zhang S, Yang S, Wu C, Cui B, Fu L, Hui R, Zhang W. Genetic risk of hyperuricemia in hypertensive patients associated with antihypertensive drug therapy: a longitudinal study. Clin Genet 2022; 101:411-420. [PMID: 35023146 PMCID: PMC9306909 DOI: 10.1111/cge.14110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/25/2021] [Accepted: 01/10/2022] [Indexed: 11/27/2022]
Abstract
Elevated serum uric acid (UA) level has been shown to be influenced by multiple genetic variants, but it remains uncertain how UA‐associated variants differ in their influence on hyperuricemia risk in people taking antihypertensive drugs. We examined a total of 43 UA‐related variants at 29 genes in 1840 patients with hypertension from a community‐based longitudinal cohort during a median 2.25‐year follow‐up (including 1031 participants with normal UA, 440 prevalent hyperuricemia at baseline, and 369 new‐onset hyperuricemia). Compared with the wild‐type genotypes, patients carrying the SLC2A9 rs3775948G allele or the rs13129697G allele had decreased risk of hyperuricemia, while patients carrying the SLC2A9 rs11722228T allele had increased risk of hyperuricemia, after adjustment for cardiovascular risk factors and correction for multiple comparisons; moreover, these associations were modified by the use of diuretics, β‐blockers, or angiotensin converting enzyme inhibitors. The rs10821905A allele of A1CF gene was associated with increased risk of hyperuricemia, and this risk was enhanced by diuretics use. The studied variants were not observed to confer risk for incident cardiovascular events during the follow‐up. In conclusion, the genes SLC2A9 and A1CF may serve as potential genetic markers for hyperuricemia risk in relation to antihypertensive drugs therapy in Chinese hypertensive patients.
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Affiliation(s)
- Yu Chen
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Yunyun Yang
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Yixuan Zhong
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Jian Li
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Tao Kong
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Shuyuan Zhang
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Shujun Yang
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Cunjin Wu
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Bing Cui
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Li Fu
- Benxi Railway Hospital, Benxi, China
| | - Rutai Hui
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Weili Zhang
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
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Jiang Y, Ge JY, Zhang YY, Wang FF, Ji Y, Li HY. The relationship between elevated serum uric acid and arterial stiffness in a healthy population. Vascular 2020; 28:494-501. [PMID: 32228177 DOI: 10.1177/1708538120913721] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVE This study aims to investigate the relationship between serum uric acid and arterial stiffness in a healthy population. METHODS Among the 979 participants, baPWV was non-invasively measured, the circulating levels of uric acid were tested, and the uric acid polymorphisms (rs2231142 and rs11722228) were genotyped. Then, the Mendelian randomization method was employed to test the relationship between serum uric acid and arterial stiffness in a healthy population. RESULTS After adjusting for age, gender, antihypertensive medication, body mass index, waist-to-hip ratio, urea nitrogen, creatinine and diabetic mellitus, there was a significant allelic difference in uric acid levels for each genotype (P < 0.0001 for rs2231142; P = 0.007 for rs11722228). However, there were no differences on the potential confounders between the genotypes of rs2231142 and rs11722228 (P > 0.05). The baPWV was significantly associated with circulating levels of uric acid after adjusting for cardiovascular risk factors and other potential confounders (P = 0.002). However, neither the single polymorphism, nor the accumulation of culprit alleles was associated with baPWV (P = 0.92 for rs2231142; P = 0.60 for rs11722228; P for trend = 0.77 for the combined analysis of culprit alleles). CONCLUSION These results do not support the causal role of circulating levels of uric acid in the development of arterial stiffness.
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Affiliation(s)
- Ye Jiang
- Department of Cardiology, Changzhou Second People's Hospital, Affiliated Nanjing Medical University, Changzhou, China
| | - Ji-Yong Ge
- Department of Cardiology, Changzhou Second People's Hospital, Affiliated Nanjing Medical University, Changzhou, China
| | - Yu-Yan Zhang
- Department of Cardiology, Changzhou Second People's Hospital, Affiliated Nanjing Medical University, Changzhou, China
| | - Fang-Fang Wang
- Department of Cardiology, Changzhou Second People's Hospital, Affiliated Nanjing Medical University, Changzhou, China
| | - Yuan Ji
- Department of Cardiology, Changzhou Second People's Hospital, Affiliated Nanjing Medical University, Changzhou, China
| | - Hai-Yan Li
- Department of Cardiology, Changzhou Second People's Hospital, Affiliated Nanjing Medical University, Changzhou, China
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Ge JY, Ji Y, Zhu ZY, Li X. Genetically Elevated Serum Uric Acid and Renal Function in an Apparently Healthy Population. Urol Int 2019; 104:277-282. [PMID: 31711059 DOI: 10.1159/000504267] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 10/14/2019] [Indexed: 11/19/2022]
Abstract
BACKGROUND The association between uric acid and kidney disease has been extensively investigated. Numerous studies have reported the association between circulating levels of uric acid and renal function. OBJECTIVES To test, by the Mendelian randomization method, whether there is a causal association between circulating levels of uric acid and renal function. METHODS In 989 participants, estimated glomerular filtration rate (eGFR) was calculated, the circulating level of uric acid was tested, and the uric acid polymorphism (rs11722228) was genotyped. RESULTS After adjusting for age, gender, smoking history, alcohol intake, antihypertensive medication, body mass index, waist-to-hip ratio, and levels of urea nitrogen and creatinine, a significant allelic difference was found in uric acid levels for each genotype (p < 0.0001). Furthermore, the circulating levels of uric acid were negatively associated with eGFR after adjusting for cardiovascular risk factors and other potential confounders (p < 0.0001). Meanwhile, eGFR was significantly associated with the genotypes of rs11722228 (β = -0.07; p = 0.02). CONCLUSIONS Evidence from the Mendelian randomization approach implied a causal relationship between uric acid and renal function in an apparently healthy population.
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Affiliation(s)
- Ji-Yong Ge
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Department of Cardiology, The Second People's Hospital of Changzhou, Changzhou, China
| | - Yuan Ji
- Department of Cardiology, The Second People's Hospital of Changzhou, Changzhou, China
| | - Zhen-Yan Zhu
- Department of Cardiology, The First People's Hospital of Changzhou, Changzhou, China
| | - Xun Li
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China,
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Zhou Z, Dong Y, Zhou H, Liu J, Zhao W. MiR-143-3p directly targets GLUT9 to reduce uric acid reabsorption and inflammatory response of renal tubular epithelial cells. Biochem Biophys Res Commun 2019; 517:413-420. [PMID: 31378369 DOI: 10.1016/j.bbrc.2019.07.114] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 07/29/2019] [Indexed: 11/28/2022]
Abstract
GLUT9 is generally considered to be associated with the uric acid transport, which plays an important role in the regulation of serum uric acid level. In this study, the expression level of miR-143-3p was significantly decreased in hyperuricemia mice model group compared with the normal control by miRNA microarray, the same results were confirmed in the hyperuricemia patients and the healthy control group. It is predicted that GLUT9 may be the target gene of miR-143-3p by target scan and other net-software. GLUT9 as the downstream target gene of miR-143-3p was determinated by fluorescence enzyme activity assay. Western blotting and qRT-PCR indicated that the expression of GLUT9 in human renal tubular epithelial cells transfected with miR-143-3p mimics was significantly reduced. Meanwhile inflammatory factors IL-1β and MCP-1 significantly decreased. In conclusion, miR-143-3p can reduce uric acid reabsorption by inhibiting its downstream target gene GLUT9.
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Affiliation(s)
- Zhichao Zhou
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin Institute of Endocrinology, Tianjin, 300134, China
| | - Ya Dong
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin Institute of Endocrinology, Tianjin, 300134, China
| | - Hanchi Zhou
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin Institute of Endocrinology, Tianjin, 300134, China
| | - Jia Liu
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin Institute of Endocrinology, Tianjin, 300134, China
| | - Wei Zhao
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin Institute of Endocrinology, Tianjin, 300134, China.
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Wan Y, Wang F, Zou B, Shen Y, Li Y, Zhang A, Fu G. Molecular mechanism underlying the ability of caffeic acid to decrease uric acid levels in hyperuricemia rats. J Funct Foods 2019. [DOI: 10.1016/j.jff.2019.03.038] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
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Effects of Chicory on Serum Uric Acid, Renal Function, and GLUT9 Expression in Hyperuricaemic Rats with Renal Injury and In Vitro Verification with Cells. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2018; 2018:1764212. [PMID: 30622589 PMCID: PMC6304617 DOI: 10.1155/2018/1764212] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 11/14/2018] [Accepted: 11/22/2018] [Indexed: 01/08/2023]
Abstract
Hyperuricaemia (HUA) is an independent risk factor for chronic kidney disease. Urate crystals are deposited in the kidney and can cause renal tubular interstitial fibrosis, leading to renal dysfunction. Chicory extract (hereafter referred to as chicory) clearly reduced serum uric acid levels in rats with HUA induced by 10% fructose. This is the first study to observe the effect of chicory on serum uric acid levels and renal function in rats with HUA and renal injury. In vivo studies using hyperuricaemic rats with renal injury induced by yeast and adenine demonstrated that chicory decreased serum uric acid level, and its effect of delaying the progression of kidney injury was better than that of benzbromarone. In vitro cell experiments showed that this effect is related to the inhibition of GLUT9 protein expression in renal tubules and that lowering blood uric acid concentrations is one of the factors that alleviates renal damage. The results of this study indicate that chicory can be used as an alternative for alleviating renal dysfunction in hyperuricaemia.
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Zhou Y, Zhang X, Li C, Yuan X, Han L, Li Z, Tan X, Song J, Wang G, Jia X, Feng L, Qiao X, Liu J. Research on the pharmacodynamics and mechanism of Fraxini Cortex on hyperuricemia based on the regulation of URAT1 and GLUT9. Biomed Pharmacother 2018; 106:434-442. [DOI: 10.1016/j.biopha.2018.06.163] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 06/27/2018] [Accepted: 06/27/2018] [Indexed: 12/14/2022] Open
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Yang X, Xiao Y, Liu K, Jiao X, Lin X, Wang Y, Zhang Q. Prevalence of hyperuricemia among the Chinese population of the southeast coastal region and association with single nucleotide polymorphisms in urate‑anion exchanger genes: SLC22A12, ABCG2 and SLC2A9. Mol Med Rep 2018; 18:3050-3058. [PMID: 30015934 DOI: 10.3892/mmr.2018.9290] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 05/15/2018] [Indexed: 02/05/2023] Open
Abstract
Genome‑wide association studies identified that a series of genes, including solute carrier family (SLC) 2 member 9 (SLC2A9), SLC 22 member 12 (SLC22A12) and ATP‑binding cassette sub‑family G member 2 (ABCG2) polymorphisms were associated with serum uric acid (SUA) levels in the present study. High incidence rates of hyperuricemia were reported in the Chinese population of the southeast coastal region; however, no evidence has confirmed the genetic association with SUA levels in this region. The present study aimed to investigate the association between uric acid levels and hyperuricemia, and genotypes of the Chinese population of the southeast coastal region. In the present study, a total of 1,056 healthy patients attending routine checkups were employed to investigate the incidence of hyperuricemia; 300 subjects were then randomly selected from the 1,056 patients for the identification of genetic polymorphisms of SLC2A9rs11722228, SLC22A12rs893006 and ABCG2rs2231142 via high‑resolution melting. The present study reported that the incidence rate of hyperuricemia was 32.6% (42.5% in males and 22.7% in females, respectively). The prevalence of ABCG2rs2231142 polymorphisms (CC, CA and AA) was 44.4, 44.8 and 11.8%, respectively; SLC2A9rs11722228 polymorphisms (CC, CT and TT) were reported to be 49.3, 40.3 and 10.3%, respectively. Additionally, SLC22A12rs893006 polymorphisms (CC, CT and TT) were determined to be 57.2, 38.7 and 4.1%, respectively. The SUA levels were observed to be statistically different among each investigated genotype of ABCG2rs2231142 (P=0.047). The A allele was significantly associated with an increased risk of hyperuricemia (odds ratio=2.405 and 1.133 for CA and AA, respectively). The present study reported that high incidence rates of hyperuricemia in the Chinese population of the southeast coastal region may be closely associated with the variants of ABCG2rs2231142. Whether polymorphisms of SLC2A9rs11722228 and SLC22A12rs893006 are involved in hyperuricemia require further investigation.
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Affiliation(s)
- Xinran Yang
- Department of Clinical Laboratory, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
| | - Yingxiu Xiao
- Department of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
| | - Kaixi Liu
- Department of Clinical Laboratory, Shantou Central Hospital, Shantou, Guangdong 515041, P.R. China
| | - Xiaoyang Jiao
- Medical College of Shantou University, Shantou, Guangdong 515043, P.R. China
| | - Xiaozhe Lin
- Department of Clinical Laboratory, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
| | - Yongni Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
| | - Qiaoxin Zhang
- Department of Clinical Laboratory, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
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Benn CL, Dua P, Gurrell R, Loudon P, Pike A, Storer RI, Vangjeli C. Physiology of Hyperuricemia and Urate-Lowering Treatments. Front Med (Lausanne) 2018; 5:160. [PMID: 29904633 PMCID: PMC5990632 DOI: 10.3389/fmed.2018.00160] [Citation(s) in RCA: 145] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 05/08/2018] [Indexed: 12/18/2022] Open
Abstract
Gout is the most common form of inflammatory arthritis and is a multifactorial disease typically characterized by hyperuricemia and monosodium urate crystal deposition predominantly in, but not limited to, the joints and the urinary tract. The prevalence of gout and hyperuricemia has increased in developed countries over the past two decades and research into the area has become progressively more active. We review the current field of knowledge with emphasis on active areas of hyperuricemia research including the underlying physiology, genetics and epidemiology, with a focus on studies which suggest association of hyperuricemia with common comorbidities including cardiovascular disease, renal insufficiency, metabolic syndrome and diabetes. Finally, we discuss current therapies and emerging drug discovery efforts aimed at delivering an optimized clinical treatment strategy.
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Affiliation(s)
| | - Pinky Dua
- Pfizer Ltd., Cambridge, United Kingdom
| | | | | | - Andrew Pike
- DMPK, Oncology, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - R Ian Storer
- IMED Biotech Unit, Medicinal Chemistry, Discovery Sciences, AstraZeneca, Cambridge, United Kingdom
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Zhang D, Yang M, Zhou D, Li Z, Cai L, Bao Y, Li H, Shan Z, Liu J, Lv D, Liu Y, Xu C, Ling J, Xu Y, Zhang S, Huang Q, Shi Y, Zhu Y, Lai M. The polymorphism rs671 at ALDH2 associated with serum uric acid levels in Chinese Han males: A genome-wide association study. Gene 2018; 651:62-69. [PMID: 29408531 DOI: 10.1016/j.gene.2018.01.064] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 01/08/2018] [Accepted: 01/17/2018] [Indexed: 01/22/2023]
Abstract
Serum uric acid (SUA) levels are highly heritable and an increased SUA level is one of important risk factors for gout, diabetes, metabolic syndrome, and cardiovascular diseases. The genetic variants underlying SUA remains largely unexplored. The aim was to explore new genetic variants underlying SUA in Chinese Han. We performed a genome-wide association study of SUA levels in Han Chinese. The discovery set contained 1634 samples and subsequent replication was comprised of 1649 females and 1169 males. 2620 subjects were recruited in the detailed analysis of rs671, alcohol drinking and SUA. We found a genome-wide significant association between SUA level and the SNP rs671 at ALDH2 (P = 1.2 × 10-10) in the merged data. In addition, we also replicated the signal from rs3733590 at SLC2A9 (P = 1.0 × 10-10). In males, about 0.21% to 1.95% of the total variance for SUA can be explained by rs671 using linear regression models in four independent cohorts. Of those, 56.75% to 93.51% might be explained by altering alcohol consumption due to rs671. No statistical association of rs671 and SUA was observed in females (P = 0.409). Furthermore, we observed a causal relationship between alcohol consumption and SUA in males using rs671 as an instrumental variable (P = 5.1 × 10-4). We replicated the previous findings in SLC2A9. Our evidence supported that rs671 was associated with SUA by affecting alcohol consumption in males. This finding strongly suggests a role for alcohol consumption in the development of hyperuricaemia and uric acid related traits.
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Affiliation(s)
- Dandan Zhang
- Department of Pathology, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Disease Proteomics of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Min Yang
- Department of Nutrition and Food Safety, School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310058, PR China
| | - Dan Zhou
- Department of Pathology, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Disease Proteomics of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Zhenli Li
- Department of Pathology, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Disease Proteomics of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Libin Cai
- The People's No.3 Hospital of Xiaoshan, Hangzhou, Zhejiang 322251, PR China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, PR China
| | - Hong Li
- Department of Endocrinology, Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Zhejiang 310058, PR China
| | - Zhongyan Shan
- Department of Endocrinology and Metabolism, The Endocrine Institute and The Liaoning Provincial Key Laboratory of Endocrine Diseases, The First Hospital of China Medical University, Shenyang, Liaoning 110001, PR China
| | - Juan Liu
- Endocrinology and Diabetes Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, PR China
| | - Duo Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310058, PR China
| | - Yi Liu
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310058, PR China
| | - Chunxiao Xu
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310058, PR China
| | - Jie Ling
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310058, PR China
| | - Yuyang Xu
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310058, PR China
| | - Shuai Zhang
- Department of Pathology, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Disease Proteomics of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Qiong Huang
- Department of Pathology, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Disease Proteomics of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Yongyong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Yimin Zhu
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310058, PR China.
| | - Maode Lai
- Department of Pathology, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Disease Proteomics of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China.
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Das Gupta E, Sakthiswary R, Lee SL, Wong SF, Hussein H, Gun SC. Clinical significance of SLC2A9/GLUT9
rs11722228 polymorphisms in gout. Int J Rheum Dis 2016; 21:705-709. [DOI: 10.1111/1756-185x.12918] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Esha Das Gupta
- Department of Medicine; International Medical University; Seremban Malaysia
| | - Rajalingham Sakthiswary
- Department of Medicine; Universiti Kebangsaan Malaysia Medical Centre; Kuala Lumpur Malaysia
| | - Shing L. Lee
- Department of Medicine; International Medical University; Seremban Malaysia
| | - Shew F. Wong
- Department of Medicine; International Medical University; Seremban Malaysia
| | - Heselynn Hussein
- Department of Medicine; Putrajaya Hospital; Wilayah Persekutuan Putrajaya Malaysia
| | - Suk C. Gun
- Department of Medicine; Tuanku Jaafar Hospital; Seremban Malaysia
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Ware EB, Riehle E, Smith JA, Zhao W, Turner ST, Kardia SLR, Lieske JC. SLC2A9 Genotype Is Associated with SLC2A9 Gene Expression and Urinary Uric Acid Concentration. PLoS One 2015; 10:e0128593. [PMID: 26167684 PMCID: PMC4500555 DOI: 10.1371/journal.pone.0128593] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Accepted: 04/28/2015] [Indexed: 12/17/2022] Open
Abstract
Objectives SLC2A9 gene variants have been associated with urinary uric acid (UA) concentration, but little is known about the functional mechanism linking these gene variants with UA. SLC2A9 encodes a UA transporter present in the proximal tubule of the kidney, and gene expression levels of SLC2A9 and other genes in the uricosuric pathway (ABCG2, SLC17A1, SLC17A3, and SLC22A12) could potentially mediate the relationship between SLC2A9 gene variants and urinary UA excretion. Methods The association between urinary UA concentrations and single nucleotide polymorphisms (SNPs) within the SLC2A9 gene region, expression levels of genes in the uricosuric pathway, and dietary protein intake were analyzed for a sample of non-Hispanic white participants from the Genetic Epidemiology Network of Arteriopathy (GENOA) cohort. The SLC2A9 SNP most significantly associated with urinary UA concentration was then tested for associations with gene expression levels from uric acid absorption/secretion associated genes. Models including interactions between dietary protein (total, animal, and vegetable) and genetic factors were also assessed. Results The most significant SLC2A9 SNP associated with urinary UA (rs12509955, corrected p = 0.001) was also associated with SLC2A9 gene expression levels (corrected p = 0.0084); however, SLC2A9 gene expression levels were not significantly associated with urinary UA concentrations (p = 0.509). The interactions between rs12509955 and total dietary protein, and SLC2A9 gene-level gene expression and dietary vegetable protein on the outcome of urinary UA were marginally significant (p = 0.11 and p = 0.07, respectively). Gene expression level of one SLC2A9 transcript had a significant interaction with dietary animal protein (SLC2A9-001 ENST00000506583, p = 0.01) and a marginally significant interaction with total dietary protein (p = 0.07) on urinary UA. Conclusion Our results illustrate that SNPs in the SLC2A9 gene influence SLC2A9 gene expression as well as urinary UA excretion. Evidence is also suggestive that gene-by-diet interactions may disproportionately increase urinary UA in genetically susceptible individuals that consume higher amounts of protein.
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Affiliation(s)
- Erin B. Ware
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States of America
- Institute for Social Research, University of Michigan, Ann Arbor, MI, United States of America
| | - Ellen Riehle
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States of America
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States of America
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States of America
| | - Stephen T. Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United States of America
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States of America
- * E-mail:
| | - John C. Lieske
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United States of America
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States of America
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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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15
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Kushiyama A, Tanaka K, Hara S, Kawazu S. Linking uric acid metabolism to diabetic complications. World J Diabetes 2014; 5:787-795. [PMID: 25512781 PMCID: PMC4265865 DOI: 10.4239/wjd.v5.i6.787] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2014] [Revised: 10/22/2014] [Accepted: 11/10/2014] [Indexed: 02/05/2023] Open
Abstract
Hyperuricemia have been thought to be caused by the ingestion of large amounts of purines, and prevention or treatment of hyperuricemia has intended to prevent gout. Xanthine dehydrogenase/xanthine oxidase (XDH/XO) is rate-limiting enzyme of uric acid generation, and allopurinol was developed as a uric acid (UA) generation inhibitor in the 1950s and has been routinely used for gout prevention since then. Serum UA levels are an important risk factor of disease progression for various diseases, including those related to lifestyle. Recently, other UA generation inhibitors such as febuxostat and topiroxostat were launched. The emergence of these novel medications has promoted new research in the field. Lifestyle-related diseases, such as metabolic syndrome or type 2 diabetes mellitus, often have a common pathological foundation. As such, hyperuricemia is often present among these patients. Many in vitro and animal studies have implicated inflammation and oxidative stress in UA metabolism and vascular injury because XDH/XO act as one of the major source of reactive oxygen species Many studies on UA levels and associated diseases implicate involvement of UA generation in disease onset and/or progression. Interventional studies for UA generation, not UA excretion revealed XDH/XO can be the therapeutic target for vascular injury and renal dysfunction. In this review, the relationship between UA metabolism and diabetic complications is highlighted.
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Abstract
Gout is a common inflammatory arthritis triggered by the crystallization of uric acid within the joints. Gout affects millions worldwide and has an increasing prevalence. Recent research has been carried out to better qualify and quantify the risk factors predisposing individuals to gout. These can largely be broken into nonmodifiable risk factors, such as gender, age, race, and genetics, and modifiable risk factors, such as diet and lifestyle. Increasing knowledge of factors predisposing certain individuals to gout could potentially lead to improved preventive practices. This review summarizes the nonmodifiable and modifiable risk factors associated with development of gout.
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Affiliation(s)
- Lindsey A MacFarlane
- Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA
| | - Seoyoung C Kim
- Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, 1620 Tremont Street, Suite 3030, Boston, MA 02120, USA; Division of Rheumatology, Allergy and Immunology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA.
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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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Hyperuricemia at 1 year after renal transplantation, its prevalence, associated factors, and graft survival. Transplantation 2012; 94:145-51. [PMID: 22728291 DOI: 10.1097/tp.0b013e318254391b] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The present study investigated the prevalence and predictors for the development of hyperuricemia within 1 year after transplantation and their associations with genetic polymorphisms and graft outcome in patients taking tacrolimus and mycophenolate mofetil. METHODS One hundred twenty-one renal allograft recipients transplanted between January 2001 and March 2009 were studied. Patients with serum uric acid concentrations above 7.0 mg/dL within 1 year after transplantation were defined as having hyperuricemia, and all were treated with allopurinol. Genetic polymorphisms of nitric oxide synthase, angiotensin-converting enzyme, methylenetetrahydrofolate reductase, and 3 uric acid transporters were examined. RESULTS At 1 year after transplantation, 46 (38%) recipients developed hyperuricemia. Male gender, higher body mass index, long-term pretransplantation dialysis, and hypertension were associated with the development of hyperuricemia. The estimated glomerular filtration rate (eGFR) at 1 year after transplantation was lower in the patients with hyperuricemia than in those without. There were no differences in graft survival between the two groups. The pharmacokinetics of tacrolimus and mycophenolic acid and 6 polymorphisms were not associated with hyperuricemia. In the multivariate analysis, male gender, long-term pretransplantation dialysis (>36 months), and eGFR (<60 mL/min) were independently associated with the development of hyperuricemia. CONCLUSION The incidence of hyperuricemia in our cohort was 38%. Male gender and long-term pretransplantation dialysis were predictors for the development of hyperuricemia. The eGFR was lower in patients with hyperuricemia, but graft survival did not differ between the patients with hyperuricemia treated with alloprinol and those without hyperuricemia. We could not define the significance of the pharmacokinetics of immunosuppressants and genetic risk factors for hyperuricemia.
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Hamajima N, Naito M, Okada R, Kawai S, Yin G, Morita E, Higashibata T, Tamura T, Nakagawa H, Matsuo H, Mori A, Wakai K. Significant interaction between LRP2 rs2544390 in intron 1 and alcohol drinking for serum uric acid levels among a Japanese population. Gene 2012; 503:131-6. [PMID: 22565184 DOI: 10.1016/j.gene.2012.04.064] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2012] [Accepted: 04/22/2012] [Indexed: 01/27/2023]
Abstract
A genome-wide association study identified that LRP2 rs2544390 in intron 1 was associated with serum uric acid (SUA) levels among Japanese, as well as polymorphisms of SLC22A12, ABCG2, and SLC2A9. This study aimed to confirm the association of rs2544390 C/T with SUA, as well as another LRP2 polymorphism (rs3755166 G/A) in the promoter. Subjects were 5016 health checkup examinees (3409 males and 1607 females) aged 35 to 69years with creatinine<2.0mg/dL. The subjects with SLC22A12 258WW, SLC2A9 rs11722228C allele, ABCG2 126QQ and 141Q allele (2546 males and 1199 females) were selected for analysis. Mean SUA was 6.03mg/dL for CC, 6.18mg/dL for CT, and 6.19mg/dL for TT among males (p=0.012), and 4.49mg/dL, 4.45mg/dL, and 4.42mg/dL among females (not significant), respectively. No association was observed for rs3755166. The association with rs2544390 was stronger among male drinkers. The odds ratio of drinking ≥5/week relative to no drinking for hyperuricemia (SUA≥7mg/dL and/or under medication for hyperuricemia) was 1.11 (95% confidence interval, 0.67-1.84) among CC males, 1.75 (1.22-2.51) among CT males, and 3.13 (1.80-5.43) among TT males. The interaction terms with drinking ≥5/week were 1.56 (p=0.156) for CT and 2.87 (p=0.005) for TT. This was the first report on the interaction between LRP2 genotype and alcohol drinking for SUA. Since the low density lipoprotein-related protein 2 (megalin) encoded by LRP2 is a multi-ligand endocytic receptor expressed in many tissues including the kidney proximal tubules, the association/interaction remained to be confirmed both epidemiologically and biologically.
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Affiliation(s)
- Nobuyuki Hamajima
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
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Sull JW, Park EJ, Lee M, Jee SH. Effects of SLC2A9 variants on uric acid levels in a Korean population. Rheumatol Int 2012; 33:19-23. [DOI: 10.1007/s00296-011-2303-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2011] [Accepted: 12/10/2011] [Indexed: 12/16/2022]
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