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Guan F, Gao S, Sheng H, Ma Y, Chen W, Qi X, Zhang X, Gao X, Pang S, Zhang L, Zhang L. Trim46 knockout impaired neuronal architecture and caused hypoactive behavior in rats. Dev Dyn 2024; 253:659-676. [PMID: 38193537 DOI: 10.1002/dvdy.687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 10/16/2023] [Accepted: 12/10/2023] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND Tripartite motif (TRIM46) is a relatively novel protein that belongs to tripartite motif family. TRIM46 organizes parallel microtubule arrays on the axons, which are important for neuronal polarity and axonal function. TRIM46 is highly expressed in the brain, but its biological function in adults has not yet been determined. RESULTS Trim46 knockout (KO) rat line was established using CRISPR/cas9. Trim46 KO rats had smaller hippocampus sizes, fewer neuronal dendritic arbors and dendritic spines, and shorter and more distant axon initial segment. Furthermore, the protein interaction between endogenous TRIM46 and FK506 binding protein 5 (FKBP5) in brain tissues was determined; Trim46 KO increased hippocampal FKBP5 protein levels and decreased hippocampal protein kinase B (Akt) phosphorylation, gamma-aminobutyric acid type A receptor subunit alpha1 (GABRA1) and glutamate ionotropic receptor NMDA type subunit 1 (NMDAR1) protein levels. Trim46 KO rats exhibited hypoactive behavioral changes such as reduced spontaneous activity, social interaction, sucrose preference, impaired prepulse inhibition (PPI), and short-term reference memory. CONCLUSIONS These results demonstrate the significant impact of Trim46 KO on brain structure and behavioral function. This study revealed a novel potential association of TRIM46 with dendritic development and neuropsychiatric behavior, providing new insights into the role of TRIM46 in the brain.
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Affiliation(s)
- Feifei Guan
- Beijing Engineering Research Center for Experimental Animal Models of Human Diseases, Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
| | - Shan Gao
- Key Laboratory of Human Disease Comparative Medicine, National Health Commission of China (NHC), Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
| | - Hanxuan Sheng
- Key Laboratory of Human Disease Comparative Medicine, National Health Commission of China (NHC), Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuanwu Ma
- Beijing Engineering Research Center for Experimental Animal Models of Human Diseases, Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
| | - Wei Chen
- Key Laboratory of Human Disease Comparative Medicine, National Health Commission of China (NHC), Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaolong Qi
- Beijing Engineering Research Center for Experimental Animal Models of Human Diseases, Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xu Zhang
- Beijing Engineering Research Center for Experimental Animal Models of Human Diseases, Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiang Gao
- Key Laboratory of Human Disease Comparative Medicine, National Health Commission of China (NHC), Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
| | - Shuo Pang
- Key Laboratory of Human Disease Comparative Medicine, National Health Commission of China (NHC), Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
| | - Lianfeng Zhang
- Key Laboratory of Human Disease Comparative Medicine, National Health Commission of China (NHC), Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
| | - Li Zhang
- Beijing Engineering Research Center for Experimental Animal Models of Human Diseases, Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing, China
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Yang S, Liu H, Fang XM, Yan F, Zhang Y. Signaling pathways in uric acid homeostasis and gout: From pathogenesis to therapeutic interventions. Int Immunopharmacol 2024; 132:111932. [PMID: 38560961 DOI: 10.1016/j.intimp.2024.111932] [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: 02/17/2024] [Revised: 03/20/2024] [Accepted: 03/24/2024] [Indexed: 04/04/2024]
Abstract
Uric acid is a product of purine degradation, and uric acid may have multiple physiologic roles, including the beneficial effects as an antioxidant and neuroprotector, maintenance of blood pressure during low salt ingestion, and modulation of immunity. However, overproduction of metabolic uric acid, and/or imbalance of renal uric acid secretion and reabsorption, and/or underexcretion of extrarenal uric acid, e.g. gut, will contribute to hyperuricemia, which is a common metabolic disease. Long-lasting hyperuricemia can induce the formation and deposition of monosodium urate (MSU) crystals within the joints and periarticular structures. MSU crystals further induce an acute, intensely painful, and sterile inflammation conditions named as gout by NLRP3 inflammasome-mediated cleavage of pro-IL-1β to bioactive IL-1β. Moreover, hyperuricemia and gout are associated with multiple cardiovascular and renal disorders, e.g., hypertension, myocardial infarction, stroke, obesity, hyperlipidemia, type 2 diabetes mellitus and chronic kidney disease. Although great efforts have been made by scientists of modern medicine, however, modern therapeutic strategies with a single target are difficult to exert long-term positive effects, and even some of these agents have severe adverse effects. The Chinese have used the ancient classic prescriptions of traditional Chinese medicine (TCM) to treat metabolic diseases, including gout, by multiple targets, for more than 2200 years. In this review, we discuss the current understanding of urate homeostasis, the pathogenesis of hyperuricemia and gout, and both modern medicine and TCM strategies for this commonly metabolic disorder. We hope these will provide the good references for treating hyperuricemia and gout.
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Affiliation(s)
- Shuangling Yang
- School of Health Sciences, Guangzhou Xinhua University, Guangzhou, Guangdong 510520, China
| | - Haimei Liu
- Department of Physiology, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, China
| | - Xian-Ming Fang
- Department of Cardiology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Guangxi University of Chinese Medicine, Nanning, Guangxi 530011, China.
| | - Fuman Yan
- Department of Physiology, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, China.
| | - Yaxing Zhang
- Department of Physiology, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, China; Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, China; Issue 12(th) of Guangxi Apprenticeship Education of Traditional Chinese Medicine (Shi‑Cheng Class of Guangxi University of Chinese Medicine), College of Continuing Education, Guangxi University of Chinese Medicine, Nanning, Guangxi 530001, China.
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Chang Y, Li F, Wang Z, Zhao Q, Wang Z, Han X, Xu Z, Yu C, Liu Y, Chang S, Li H, Hu S, Li Y, Tang T. Oxidative balance score: a potential tool for reducing the risk of colorectal cancer and its subsites incidences. Front Endocrinol (Lausanne) 2024; 15:1397512. [PMID: 38745951 PMCID: PMC11091465 DOI: 10.3389/fendo.2024.1397512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 04/17/2024] [Indexed: 05/16/2024] Open
Abstract
Background The Oxidative Balance Score (OBS) is commonly used to assess oxidative stress and provides a comprehensive evaluation of dietary and lifestyle-related exposures. However, there is limited research on the association between OBS and colorectal cancer (CRC), its subsites, and complications. The objective of this study was to assess the relationship between OBS and the risk of CRC, its subsites, and common complications in a large prospective cohort study. Methods We included data from 175,808 participants in the UK Biobank data sample repository from 2006 to 2010. We evaluated OBS using a scoring system based on 22 dietary and lifestyle factors. Multiple adjustments, including multivariate Cox proportional hazard regression, gender stratification, subgroup analysis, and sensitivity analysis, were performed to fully explore the relationship between OBS and CRC, its subsites, and complications. The mediation analysis was conducted to investigate whether serum albumin, uric acid, and neutrophil levels mediate the relationship between OBS and CRC. Results After adjusting for potential confounding factors, a significant negative correlation was found between OBS and the risk of CRC and its subsites (proximal colon cancer, distal colon cancer, and rectal cancer). This correlation was particularly pronounced in male CRC patients. Serum albumin, uric acid, and neutrophil count, which are biomarkers, were found to have a significant mediating effect between OBS and CRC. Conclusion Our study suggests that higher exposure to antioxidants assessed through OBS (diet and lifestyle rich in antioxidants) may decrease the occurrence of CRC and its subsites.
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Affiliation(s)
- Yu Chang
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Fan Li
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
| | - Zhi Wang
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Qi Zhao
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Zhaodi Wang
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Xiaoping Han
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Zifeng Xu
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Chanjiao Yu
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Yue Liu
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Shiyu Chang
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Hongyan Li
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Sileng Hu
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Yuqin Li
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Tongyu Tang
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
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Guo X, Chatterjee N, Dutta D. Subset-based method for cross-tissue transcriptome-wide association studies improves power and interpretability. HGG ADVANCES 2024; 5:100283. [PMID: 38491773 PMCID: PMC10999697 DOI: 10.1016/j.xhgg.2024.100283] [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: 10/12/2023] [Revised: 03/09/2024] [Accepted: 03/09/2024] [Indexed: 03/18/2024] Open
Abstract
Integrating results from genome-wide association studies (GWASs) and studies of molecular phenotypes such as gene expressions can improve our understanding of the biological functions of trait-associated variants and can help prioritize candidate genes for downstream analysis. Using reference expression quantitative trait locus (eQTL) studies, several methods have been proposed to identify gene-trait associations, primarily based on gene expression imputation. To increase the statistical power by leveraging substantial eQTL sharing across tissues, meta-analysis methods aggregating such gene-based test results across multiple tissues or contexts have been developed as well. However, most existing meta-analysis methods have limited power to identify associations when the gene has weaker associations in only a few tissues and cannot identify the subset of tissues in which the gene is "activated." For this, we developed a cross-tissue subset-based transcriptome-wide association study (CSTWAS) meta-analysis method that improves power under such scenarios and can extract the set of potentially associated tissues. To improve applicability, CSTWAS uses only GWAS summary statistics and pre-computed correlation matrices to identify a subset of tissues that have the maximal evidence of gene-trait association. Through numerical simulations, we found that CSTWAS can maintain a well-calibrated type-I error rate, improves power especially when there is a small number of associated tissues for a gene-trait association, and identifies an accurate associated tissue set. By analyzing GWAS summary statistics of three complex traits and diseases, we demonstrate that CSTWAS could identify biological meaningful signals while providing an interpretation of disease etiology by extracting a set of potentially associated tissues.
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Affiliation(s)
- Xinyu Guo
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90007, USA
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Diptavo Dutta
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD 20850, USA.
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Jeon HK, Yoo HY. Single-nucleotide polymorphisms link gout with health-related lifestyle factors in Korean cohorts. PLoS One 2023; 18:e0295038. [PMID: 38060535 PMCID: PMC10703335 DOI: 10.1371/journal.pone.0295038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 11/14/2023] [Indexed: 12/18/2023] Open
Abstract
Gout-a very painful inflammatory arthritis caused by the deposition of monosodium urate crystals in the joints-is influenced by several factors. We identified the association of single- nucleotide polymorphisms (SNPs) that link gout with health-related lifestyle factors using genomic data from the Korean Genome and Epidemiology Study. We conducted a genome-wide association study (GWAS) on 18,927 samples of 438 Korean patients with gout and 18,489 controls for the discovery stage. For the replication stage, another batch containing samples of 326 patients with gout and 2,737 controls were analyzed. Lastly, a meta-analysis was performed using these two cohorts. We analyzed the effects of health-related lifestyle factors, including eating habits, physical activity, drinking behavior, and smoking behavior, on gout. After identifying the association between GWAS-derived SNPs and health-related lifestyle factors, we confirmed the interaction between the polygenic risk score (PRS) and health-related lifestyle factors. We identified 15 SNPs related to gout, among which rs1481012 of ABCG2 located on chromosome 4 has been newly discovered (P = 2.46e-11). On examining the interaction between SNPs and health-related lifestyles, rs3109823-located in ABCG2-was found to be associated with smoking status. In addition, rs11936395-located in SLC2A9-was significantly associated with the average momentum of exercise per session, whereas rs11066325 located in PTPN11, showed a significant association with the number of exercise sessions per week, smoking status, drinking status, and amount of soju drink per session. rs9421589-located in FAM35A-was significantly associated with the duration of smoking. In addition, we verified that the association between PRS and duration of smoking affects gout. Thus, in this study, we identified novel SNPs that link gout with health-related lifestyle factors in the Korean population.
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Affiliation(s)
- Hye Kyung Jeon
- Department of Nursing, Ansan University, Gyeonggi-do, Korea
| | - Hae Young Yoo
- Department of Nursing, Chung-Ang University, Seoul, Korea
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Roman YM. The Role of Uric Acid in Human Health: Insights from the Uricase Gene. J Pers Med 2023; 13:1409. [PMID: 37763176 PMCID: PMC10532990 DOI: 10.3390/jpm13091409] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/17/2023] [Accepted: 09/19/2023] [Indexed: 09/29/2023] Open
Abstract
Uric acid is the final product of purine metabolism and is converted to allantoin in most mammals via the uricase enzyme. The accumulation of loss of function mutations in the uricase gene rendered hominoids (apes and humans) to have higher urate concentrations compared to other mammals. The loss of human uricase activity may have allowed humans to survive environmental stressors, evolution bottlenecks, and life-threatening pathogens. While high urate levels may contribute to developing gout and cardiometabolic disorders such as hypertension and insulin resistance, low urate levels may increase the risk for neurodegenerative diseases. The double-edged sword effect of uric acid has resurrected a growing interest in urate's antioxidant role and the uricase enzyme's role in modulating the risk of obesity. Characterizing both the effect of uric acid levels and the uricase enzyme in different animal models may provide new insights into the potential therapeutic benefits of uric acid and novel uricase-based therapy.
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Affiliation(s)
- Youssef M Roman
- Department of Pharmacotherapy & Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA
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Lee S, Yang HK, Lee HJ, Park DJ, Kong SH, Park SK. Cross-phenotype association analysis of gastric cancer: in-silico functional annotation based on the disease-gene network. Gastric Cancer 2023; 26:517-527. [PMID: 36995485 DOI: 10.1007/s10120-023-01380-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 03/02/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND A gene or variant has pleiotropic effects, and genetic variant identification across multiple phenotypes can provide a comprehensive understanding of biological pathways shared among different diseases or phenotypes. Discovery of genetic loci associated with multiple diseases can simultaneously support general interventions. Several meta-analyses have shown genetic associations with gastric cancer (GC); however, no study has identified associations with other phenotypes using this approach. METHODS Here, we applied disease network analysis and gene-based analysis (GBA) to examine genetic variants linked to GC and simultaneously associated with other phenotypes. We conducted a single-nucleotide polymorphism (SNP) level meta-analysis and GBA through a systematic genome-wide association study (GWAS) linked to GC, to integrate published results for the SNP variants and group them into major GC-associated genes. We then performed disease network and expression quantitative trait loci (eQTL) analyses to evaluate cross-phenotype associations and expression levels of GC-related genes. RESULTS Seven genes (MTX1, GBAP1, MUC1, TRIM46, THBS3, PSCA, and ABO) were associated with GC as well as blood urea nitrogen (BUN), glomerular filtration rate (GFR), and uric acid (UA). In addition, 17 SNPs regulated the expression of genes located on 1q22, 24 SNPs regulated the expression of PSCA on 8q24.3, and rs7849820 regulated the expression of ABO on 9q34.2. Furthermore, rs1057941 and rs2294008 had the highest posterior causal probabilities of being a causal candidate SNP in 1q22, and 8q24.3, respectively. CONCLUSIONS These findings identified seven GC-associated genes exhibiting a cross-association with GFR, BUN, and UA.
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Affiliation(s)
- Sangjun Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-Ro, Jongro-Gu, Seoul, 03080, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Han-Kwang Yang
- Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Hyuk-Joon Lee
- Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Do Joong Park
- Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Seong-Ho Kong
- Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-Ro, Jongro-Gu, Seoul, 03080, Korea.
- Cancer Research Institute, Seoul National University, Seoul, Korea.
- Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Korea.
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Fernández-Torres J, Zamudio-Cuevas Y, Martínez-Nava GA, Martínez-Flores K, Ruíz-Dávila X, Sánchez-Sánchez R. Relationship between rs4349859 and rs116488202 polymorphisms close to MHC-I region and serum urate levels in patients with gout. Mol Biol Rep 2023; 50:4367-4374. [PMID: 36943604 DOI: 10.1007/s11033-023-08359-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/23/2023] [Indexed: 03/23/2023]
Abstract
BACKGROUND Gout is the most common inflammatory rheumatic disease and elevated levels of serum urate (SU) are the main cause for its development. Major histocompatibility complex class 1 (MHC-1) plays an important role in the development of multiple inflammatory diseases; however, there is little evidence of its involvement in gout. The present study focused on evaluating the association of the rs4349859 and rs116488202 single nucleotide polymorphisms (SNPs) close to the MHC-1 region in patients with gout. METHODS AND RESULTS One hundred and seventy-six individuals of Mexican origin were included, of which 81 were patients with primary gout and 95 were healthy controls. The rs4349859 and rs116488202 SNPs were genotyped using TaqMan probes by allelic discrimination by real-time PCR. Serum concentrations of biochemical parameters were measured with enzymatic methods. Descriptive statistics were applied and P-values < 0.05 were considered significant. It was observed that the rs4349859 and rs116488202 SNPs showed significant association with the risk of gout (OR = 146, 95%CI = 44.8-480.2, P < 0.01; OR = 2885, 95%CI = 265-31398, P < 0.01, respectively). Our results also showed significantly higher serum SU levels in gout patients with respect to controls (P < 0.01) in the carriers of the GA genotype compared with the GG genotype of the rs4349859 variant, and in the carriers of the CT genotype compared with the CC genotype of the rs116488202 variant. CONCLUSION The study revealed that rs4349859 and rs116488202 SNPs close to MHC-I region confers strong susceptibility to gout in Mexican population, and the heterozygous genotypes of both were associated with higher levels of SU.
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Affiliation(s)
- Javier Fernández-Torres
- Synovial Fluid Laboratory, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico.
- Biology Department, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico.
| | - Yessica Zamudio-Cuevas
- Synovial Fluid Laboratory, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico
| | | | - Karina Martínez-Flores
- Synovial Fluid Laboratory, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico
| | | | - Roberto Sánchez-Sánchez
- Unidad de Ingeniería de Tejidos, Terapia Celular y Medicina Regenerativa, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico
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Evaluation of ABCG2-mediated extra-renal urate excretion in hemodialysis patients. Sci Rep 2023; 13:93. [PMID: 36639673 PMCID: PMC9839766 DOI: 10.1038/s41598-022-26519-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 12/15/2022] [Indexed: 01/14/2023] Open
Abstract
Two-thirds of urate is excreted via the renal pathway and the remaining one-third via the extra-renal pathway, the latter mainly via the intestine in healthy individuals. ABCG2, a urate exporter, is expressed in various tissues including the kidney and intestine, and its dysfunction leads to hyperuricemia and gout. ABCG2 is regarded as being responsible for most of the extra-renal urate excretion. However, the extra-renal urate excretion capacity via ABCG2 remains undefined in end-stage kidney diseases. Therefore, we evaluated the capacity of extra-renal ABCG2 using 123 anuric hemodialysis patients whose urate excretion depended on only the extra-renal pathway. ABCG2 function in each participant was estimated based on ABCG2 dysfunctional variants. We computed the uric acid pool (PoolUA) from bodyweight and serum urate level (SUA) using previously reported radio-isotopic data, and we analyzed the association between ABCG2 function and the PoolUA. SUA and PoolUA increased significantly with ABCG2 dysfunction, and extra-renal ABCG2 could excrete up to approximately 60% of the daily uric acid turnover in hemodialysis patients. Our findings indicate that the extra-renal urate excretion capacity can expand with renal function decline and highlight that the extra-renal pathway is particularly important in the uric acid homeostasis for patients with renal dysfunction.
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Zhang X, Mass BB, Talevi V, Hou R, North KE, Voruganti VS. Novel Insights into the Effects of Genetic Variants on Serum Urate Response to an Acute Fructose Challenge: A Pilot Study. Nutrients 2022; 14:4030. [PMID: 36235682 PMCID: PMC9570712 DOI: 10.3390/nu14194030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/20/2022] [Accepted: 09/22/2022] [Indexed: 11/25/2022] Open
Abstract
Studies have shown that genetic variations can influence metabolic response to nutrient intake, and that diets rich in fructose contribute to hyperuricemia. In this pilot study, our aim was to determine the variability of serum urate in response to an acute fructose challenge and to investigate if genetic variants would affect this response in young to middle-aged adults who self-reported as Black or White. Fifty-seven participants consumed a fructose-rich beverage after an overnight fast. Blood was drawn at five time points (baseline, 30, 60, 120, and 180 min after consumption). Thirty urate-related single nucleotide polymorphisms (SNPs) were analyzed for their associations with baseline serum urate and its percent changes, using a two-step modeling approach followed by meta-analysis. At baseline, serum urate (mg/dL, mean ± SD) was higher in Whites (5.60 ± 1.01 vs. 5.37 ± 0.96), men (6.17 ± 1.14 vs. 5.24 ± 0.79), and those with obesity (5.69 ± 1.08 vs. 5.42 ± 1.06 vs. 5.34 ± 0.80). Three SNPs were significantly associated with baseline serum urate or its percent changes, and six SNPs were nominally associated with percent changes in serum urate. In summary, our results showed that genetic variants could play a role in short-term urate metabolism.
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Affiliation(s)
- Xinruo Zhang
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Baba B Mass
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
| | - Valentina Talevi
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
| | - Ruixue Hou
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Venkata Saroja Voruganti
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
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Zhao J, Guo S, Schrodi SJ, He D. Trends in the Contribution of Genetic Susceptibility Loci to Hyperuricemia and Gout and Associated Novel Mechanisms. Front Cell Dev Biol 2022; 10:937855. [PMID: 35813212 PMCID: PMC9259951 DOI: 10.3389/fcell.2022.937855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 05/31/2022] [Indexed: 11/14/2022] Open
Abstract
Hyperuricemia and gout are complex diseases mediated by genetic, epigenetic, and environmental exposure interactions. The incidence and medical burden of gout, an inflammatory arthritis caused by hyperuricemia, increase every year, significantly increasing the disease burden. Genetic factors play an essential role in the development of hyperuricemia and gout. Currently, the search on disease-associated genetic variants through large-scale genome-wide scans has primarily improved our understanding of this disease. However, most genome-wide association studies (GWASs) still focus on the basic level, whereas the biological mechanisms underlying the association between genetic variants and the disease are still far from well understood. Therefore, we summarized the latest hyperuricemia- and gout-associated genetic loci identified in the Global Biobank Meta-analysis Initiative (GBMI) and elucidated the comprehensive potential molecular mechanisms underlying the effects of these gene variants in hyperuricemia and gout based on genetic perspectives, in terms of mechanisms affecting uric acid excretion and reabsorption, lipid metabolism, glucose metabolism, and nod-like receptor pyrin domain 3 (NLRP3) inflammasome and inflammatory pathways. Finally, we summarized the potential effect of genetic variants on disease prognosis and drug efficacy. In conclusion, we expect that this summary will increase our understanding of the pathogenesis of hyperuricemia and gout, provide a theoretical basis for the innovative development of new clinical treatment options, and enhance the capabilities of precision medicine for hyperuricemia and gout treatment.
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Affiliation(s)
- Jianan Zhao
- Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Shicheng Guo
- Computation and Informatics in Biology and Medicine, University of WI-Madison, Madison, WI, United States
- Department of Medical Genetics, School of Medicine and Public Health, University of WI-Madison, Madison, WI, United States
| | - Steven J. Schrodi
- Computation and Informatics in Biology and Medicine, University of WI-Madison, Madison, WI, United States
- Department of Medical Genetics, School of Medicine and Public Health, University of WI-Madison, Madison, WI, United States
| | - Dongyi He
- Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, Shanghai, China
- Arthritis Institute of Integrated Traditional and Western Medicine, Shanghai Chinese Medicine Research Institute, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
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12
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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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13
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Roman YM, McClish D, Price ET, Sabo RT, Woodward OM, Mersha TB, Shah N, Armada A, Terkeltaub R. Cardiometabolic genomics and pharmacogenomics investigations in Filipino Americans: Steps towards precision health and reducing health disparities. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2022; 15:100136. [PMID: 35647570 PMCID: PMC9139029 DOI: 10.1016/j.ahjo.2022.100136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/18/2022] [Accepted: 04/18/2022] [Indexed: 12/26/2022]
Abstract
Background Filipino Americans (FAs) are the third-largest Asian American subgroup in the United States (US). Some studies showed that FAs experience more cardiometabolic diseases (CMDs) than other Asian subgroups and non-Hispanic Whites. The increased prevalence of CMD observed in FAs could be due to genetics and social/dietary lifestyles. While FAs are ascribed as an Asian group, they have higher burdens of CMD, and adverse social determinants of health compared to other Asian subgroups. Therefore, studies to elucidate how FAs might develop CMD and respond to medications used to manage CMD are warranted. The ultimate goals of this study are to identify potential mechanisms for reducing CMD burden in FAs and to optimize therapeutic drug selection. Collectively, these investigations could reduce the cardiovascular health disparities among FAs. Rationale and design This is a cross-sectional epidemiological design to enroll 300 self-identified Filipino age 18 yrs. or older without a history of cancer and/or organ transplant from Virginia, Washington DC, and Maryland. Once consented, a health questionnaire and disease checklist are administered to participants, and anthropometric data and other vital signs are collected. When accessible, we collect blood samples to measure basic blood biochemistry, lipids, kidney, and liver functions. We also extract DNA from the blood or saliva for genetic and pharmacogenetic analyses. CMD prevalence in FAs will be compared to the US population. Finally, we will conduct multivariate analyses to ascertain the role of genetic and non-genetic factors in developing CMD in FAs. Virginia Commonwealth University IRB approved all study materials (Protocol HM20018500). Summary This is the first community-based study to involve FAs in genomics research. The study is actively recruiting participants. Participant enrollment is ongoing. At the time of this publication, the study has enrolled 97 participants. This ongoing study is expected to inform future research to reduce cardiovascular health disparities among FAs.
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Affiliation(s)
- Youssef M. Roman
- Department of Pharmacotherapy and Outcomes Science, 410 N 12th Street, Virginia Commonwealth University, School of Pharmacy, Richmond, VA 23298, United States of America
| | - Donna McClish
- Department of Biostatistics, 830 East Main Street, One Capitol Square 740, Virginia Commonwealth University, School of Medicine, Richmond, VA 23329, United States of America
| | - Elvin T. Price
- Department of Pharmacotherapy and Outcomes Science, 410 N 12th Street, Virginia Commonwealth University, School of Pharmacy, Richmond, VA 23298, United States of America
| | - Roy T. Sabo
- Department of Biostatistics, 830 East Main Street, One Capitol Square 740, Virginia Commonwealth University, School of Medicine, Richmond, VA 23329, United States of America
| | - Owen M. Woodward
- Department of Physiology, University of Maryland School of Medicine, 685 W. Baltimore St., HSF1 580F, Baltimore, MD 21201, United States of America
| | - Tesfaye B. Mersha
- Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, 3333 Burnet Avenue, MLC 7037, Cincinnati, OH 45229-3026, United States of America
| | - Nehal Shah
- Division of Rheumatology, Allergy, and Immunology, 1112 East Clay Street, VCU Health Sciences Research Building, Room 4-110, Virginia Commonwealth University, School of Medicine, Richmond, VA 23298-0263, United States of America
| | - Andrew Armada
- Filipino American Association of Central Virginia, 7117 Galax Road, Richmond, VA 23228, United States of America
| | - Robert Terkeltaub
- 9-SDVAHCS, Division of Rheumatology, Allergy, and Immunology, USCD School of Medicine, 9500 Gilman Drive, La Jolla, CA 92093, United States of America
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14
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Zhang Z, Liu X, Li L, Yang Y, Yang J, Wang Y, Wu J, Wu X, Shan L, Pei F, Liu J, Wang S, Li W, Sun L, Liang J, Shang Y. SNP rs4971059 predisposes to breast carcinogenesis and chemoresistance via TRIM46-mediated HDAC1 degradation. EMBO J 2021; 40:e107974. [PMID: 34459501 DOI: 10.15252/embj.2021107974] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 06/28/2021] [Accepted: 08/16/2021] [Indexed: 12/19/2022] Open
Abstract
Identification of the driving force behind malignant transformation holds the promise to combat the relapse and therapeutic resistance of cancer. We report here that the single nucleotide polymorphism (SNP) rs4971059, one of 65 new breast cancer risk loci identified in a recent genome-wide association study (GWAS), functions as an active enhancer of TRIM46 expression. Recreating the G-to-A polymorphic switch caused by the SNP via CRISPR/Cas9-mediated homologous recombination leads to an overt upregulation of TRIM46. We find that TRIM46 is a ubiquitin ligase that targets histone deacetylase HDAC1 for ubiquitination and degradation and that the TRIM46-HDAC1 axis regulates a panel of genes, including ones critically involved in DNA replication and repair. Consequently, TRIM46 promotes breast cancer cell proliferation and chemoresistance in vitro and accelerates tumor growth in vivo. Moreover, TRIM46 is frequently overexpressed in breast carcinomas, and its expression is correlated with lower HDAC1 expression, higher histological grades, and worse prognosis of the patients. Together, our study links SNP rs4971059 to replication and to breast carcinogenesis and chemoresistance and support the pursuit of TRIM46 as a potential target for breast cancer intervention.
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Affiliation(s)
- Zihan Zhang
- Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Health Science Center, Beijing, China
| | - Xiaoping Liu
- Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Health Science Center, Beijing, China.,Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
| | - Lei Li
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, China
| | - Yang Yang
- Breast Disease Center, Peking University People's Hospital, Beijing, China
| | - Jianguo Yang
- Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Health Science Center, Beijing, China.,Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
| | - Yue Wang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.,Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Jiajing Wu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Xiaodi Wu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Lin Shan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Fei Pei
- Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Jianying Liu
- Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Shu Wang
- Breast Disease Center, Peking University People's Hospital, Beijing, China
| | - Wei Li
- Department of Biological Chemistry, University of California Irvine, Irvine, CA, USA
| | - Luyang Sun
- Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Health Science Center, Beijing, China
| | - Jing Liang
- Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Health Science Center, Beijing, China
| | - Yongfeng Shang
- Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Health Science Center, Beijing, China.,Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.,Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
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15
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Ji A, Shaukat A, Takei R, Bixley M, Cadzow M, Topless RK, Major TJ, Phipps-Green A, Merriman ME, Harré Hindmarsh J, Stamp LK, Dalbeth N, Li C, Merriman TR. Aotearoa New Zealand Māori and Pacific Population-amplified Gout Risk Variants: CLNK Is a Separate Risk Gene at the SLC2A9 Locus. J Rheumatol 2021; 48:1736-1744. [PMID: 34210831 DOI: 10.3899/jrheum.201684] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE The Māori and Pacific (Polynesian) population of Aotearoa New Zealand has a high prevalence of gout. Our aim was to identify potentially functional missense genetic variants in candidate inflammatory genes amplified in frequency that may underlie the increased prevalence of gout in Polynesian populations. METHODS A list of 712 inflammatory disease-related genes was generated. An in silico targeted exome set was extracted from whole genome sequencing data in people with gout of various ancestral groups (Polynesian, European, East Asian; n = 55, 780, 135, respectively) to identify Polynesian-amplified common missense variants (minor allele frequency > 0.05). Candidate functional variants were tested for association with gout by multivariable-adjusted regression analysis in 2528 individuals of Polynesian ancestry. RESULTS We identified 26 variants common in the Polynesian population and uncommon in the European and East Asian populations. Three of the 26 population-amplified variants were nominally associated with the risk of gout (rs1635712 [KIAA0319], ORmeta = 1.28, P meta = 0.03; rs16869924 [CLNK], ORmeta = 1.37, P meta = 0.002; rs2070025 [fibrinogen A alpha chain (FGA)], ORmeta = 1.34, P meta = 0.02). The CLNK variant, within the established SLC2A9 gout locus, was genetically independent of the association signal at SLC2A9. CONCLUSION We provide nominal evidence for the existence of population-amplified genetic variants conferring risk of gout in Polynesian populations. Polymorphisms in CLNK have previously been associated with gout in other populations, supporting our evidence for the association of this gene with gout.
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Affiliation(s)
- Aichang Ji
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Amara Shaukat
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Riku Takei
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Matthew Bixley
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Murray Cadzow
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Ruth K Topless
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Tanya J Major
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Amanda Phipps-Green
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Marilyn E Merriman
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Jennie Harré Hindmarsh
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Lisa K Stamp
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Nicola Dalbeth
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Changgui Li
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
| | - Tony R Merriman
- This research was supported by the Health Research Council of New Zealand (Grant 14/527). 1A. Ji, PhD, Research Fellow, C. Li, PhD, Professor, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China; 2A. Shaukat, MSc, Doctoral Student, M. Bixley, MSc, Assistant Research Fellow, M. Cadzow, PhD, Research Fellow, R.K. Topless, BSc, Assistant Research Fellow, T.J. Major, PhD, Research Fellow, A. Phipps-Green, MSc, Assistant Research Fellow, M.E. Merriman, BSc, Research Assistant, Department of Biochemistry, University of Otago, Dunedin, New Zealand; 3R. Takei, MSc, Scientist, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA; 4J. Harré Hindmarsh, PhD, Research Coordinator, Ngāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand; 5L.K. Stamp, PhD, Professor, Department of Medicine, University of Otago, Christchurch, New Zealand; 6N. Dalbeth, MD, Professor, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 7T.R. Merriman, BSc, Research Assistant, Shandong Provincial Key Laboratory of Metabolic Diseases, the Affiliated Hospital of Qingdao University, Qingdao, China, Department of Biochemistry, University of Otago, Dunedin, New Zealand, and Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA. A. Ji and A. Shaukat contributed equally to this work. The authors declare no conflict of interest relevant to this article. Address correspondence to T.R. Merriman, School of Biomedical Sciences, Department of Biochemistry, 710 Cumberland Street, Dunedin, Otago 9054, New Zealand. . Accepted for publication June 11, 2021
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16
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Kawaguchi M, Nakayama A, Aoyagi Y, Nakamura T, Shimizu S, Kawamura Y, Takao M, Tamura T, Hishida A, Nagayoshi M, Nagase M, Ooyama K, Ooyama H, Shinomiya N, Matsuo H. Both variants of A1CF and BAZ1B genes are associated with gout susceptibility: a replication study and meta-analysis in a Japanese population. Hum Cell 2021; 34:293-299. [PMID: 33517564 PMCID: PMC7900071 DOI: 10.1007/s13577-021-00485-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 01/01/2021] [Indexed: 12/20/2022]
Abstract
Gout is a common type of acute arthritis that results from elevated serum uric acid (SUA) levels. Recent genome-wide association studies (GWASs) have revealed several novel single nucleotide polymorphism (SNPs) associated with SUA levels. Of these, rs10821905 of A1CF and rs1178977 of BAZ1B showed the greatest and the second greatest significant effect size for increasing SUA level in the Japanese population, but their association with gout is not clear. We examined their association with gout using 1411 clinically-defined Japanese gout patients and 1285 controls, and meta-analyzed our previous gout GWAS data to investigate any association with gout. Replication studies revealed both SNPs to be significantly associated with gout (P = 0.0366, odds ratio [OR] with 95% confidence interval [CI]: 1.30 [1.02-1.68] for rs10821905 of A1CF, P = 6.49 × 10-3, OR with 95% CI: 1.29 [1.07-1.55] for rs1178977 of BAZ1B). Meta-analysis also revealed a significant association with gout in both SNPs (Pmeta = 3.16 × 10-4, OR with 95% CI: 1.39 [1.17-1.66] for rs10821905 of A1CF, Pmeta = 7.28 × 10-5, OR with 95% CI 1.32 [1.15-1.51] for rs1178977 of BAZ1B). This study shows the first known association between SNPs of A1CF, BAZ1B and clinically-defined gout cases in Japanese. Our results also suggest a shared physiological/pathophysiological background between several populations, including Japanese, for both SUA increase and gout susceptibility. Our findings will not only assist the elucidation of the pathophysiology of gout and hyperuricemia, but also suggest new molecular targets.
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Affiliation(s)
- Makoto Kawaguchi
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan
| | - Akiyoshi Nakayama
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan
| | - Yuka Aoyagi
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan
| | - Takahiro Nakamura
- Laboratory for Mathematics, Premedical Course, National Defense Medical College, Tokorozawa, Saitama, Japan
| | - Seiko Shimizu
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan
| | - Yusuke Kawamura
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan
| | - Mikiya Takao
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | | | | | | | - Nariyoshi Shinomiya
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan
| | - Hirotaka Matsuo
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan.
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17
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Anti-Hyperuricemic Effects of Astaxanthin by Regulating Xanthine Oxidase, Adenosine Deaminase and Urate Transporters in Rats. Mar Drugs 2020; 18:md18120610. [PMID: 33271765 PMCID: PMC7759838 DOI: 10.3390/md18120610] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 11/25/2020] [Accepted: 11/28/2020] [Indexed: 02/07/2023] Open
Abstract
This study was designed to investigate the effects and underlying mechanisms of Astaxanthin (AST) on high-fructose-induced hyperuricemia (HUA) from the perspectives of the uric acid (UA) synthesis and excretion in rat models. Following six weeks of a 10% fructose diet, the level of serum UA effectively decreased in the AST groups as compared to the model group. The enzymatic activities of xanthine oxidase (XOD) and adenosine deaminase (ADA) were significantly inhibited, and the mRNA expression levels of XOD and ADA significantly decreased after the AST administration. These results suggested that the AST reduced UA synthesis by inhibiting the mRNA expressions and enzyme activities of XOD and ADA, thereby contributing to HUA improvement. On the hand, the relative expressions of the mRNA and protein of kidney reabsorption transport proteins (GLUT9 and URAT1) were significantly down-regulated by AST, while that of the kidney secretion proteins (OAT1, OAT3 and ABCG2) were significantly up-regulated by AST. These results indicated that the AST promoted UA excretion by regulating the urate transport proteins, and thus alleviated HUA. This study suggested that the AST could serve as an effective alternative to traditional medicinal drugs for the prevention of fructose-induced HUA.
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Nikolaou KC, Vatandaslar H, Meyer C, Schmid MW, Tuschl T, Stoffel M. The RNA-Binding Protein A1CF Regulates Hepatic Fructose and Glycerol Metabolism via Alternative RNA Splicing. Cell Rep 2020; 29:283-300.e8. [PMID: 31597092 DOI: 10.1016/j.celrep.2019.08.100] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 08/09/2019] [Accepted: 08/29/2019] [Indexed: 01/11/2023] Open
Abstract
The regulation of hepatic gene expression has been extensively studied at the transcriptional level; however, the control of metabolism through posttranscriptional gene regulation by RNA-binding proteins in physiological and disease states is less understood. Here, we report a major role for the hormone-sensitive RNA-binding protein (RBP) APOBEC1 complementation factor (A1CF) in the generation of hepatocyte-specific and alternatively spliced transcripts. Among these transcripts are isoforms for the dominant and high-affinity fructose-metabolizing ketohexokinase C and glycerol kinase, two key metabolic enzymes that are linked to hepatic gluconeogenesis and found to be markedly reduced upon hepatic ablation of A1cf. Consequently, mice lacking A1CF exhibit improved glucose tolerance and are protected from fructose-induced hyperglycemia, hepatic steatosis, and development of obesity. Our results identify a previously unreported function of A1CF as a regulator of alternative splicing of a subset of genes influencing hepatic glucose production through fructose and glycerol metabolism.
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Affiliation(s)
- Kostas C Nikolaou
- Institute of Molecular Health Sciences, ETH Zurich, Otto-Stern-Weg 7, 8093 Zürich, Switzerland
| | - Hasan Vatandaslar
- Institute of Molecular Health Sciences, ETH Zurich, Otto-Stern-Weg 7, 8093 Zürich, Switzerland
| | - Cindy Meyer
- Laboratory of RNA Molecular Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA
| | - Marc W Schmid
- MWSchmid GmbH, Möhrlistrasse 25, 8006 Zurich, Switzerland
| | - Thomas Tuschl
- Laboratory of RNA Molecular Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA
| | - Markus Stoffel
- Institute of Molecular Health Sciences, ETH Zurich, Otto-Stern-Weg 7, 8093 Zürich, Switzerland; Medical Faculty, University of Zurich, 8091 Zurich, Switzerland.
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Su J, Zhang X, Zhao Q, Guo Z, Wu J, Chen G, Liang Q, Chen Z, He Z, Cai X, Xie M, Zheng L, Zhao K. PD-1 mRNA expression in peripheral blood mononuclear cells as a biomarker for different stages of primary gouty arthritis. J Cell Mol Med 2020; 24:9323-9331. [PMID: 32639111 PMCID: PMC7417685 DOI: 10.1111/jcmm.15582] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Accepted: 06/05/2020] [Indexed: 12/31/2022] Open
Abstract
There is currently a lack of biomarkers to assist the diagnosis and prediction of primary gouty arthritis (PG). Therefore, we evaluated the clinical value of programmed cell death protein 1 (PD-1) mRNA expression in peripheral blood mononuclear cells (PBMCs) of patients with PG. This study included 36 patients with acute phase PG (APPG), 48 with non-acute phase PG (NAPPG), 42 with asymptomatic hyperuricemia (AH) and 79 normal controls (NCs). PD-1 mRNA expression levels were detected by qRT-PCR. PD-1 mRNA expression was statistically analysed by ANOVA or t tests, while correlations between PD-1 mRNA and clinical variables were assessed using Pearson correlation tests. Receiver operator characteristic (ROC) curve analysis was used to evaluate the diagnostic value of PD-1 in different PG stages. PD-1 mRNA expression was significantly lower in patients with APPG than that in NAPPG, AH and NCs (P < 0.01). Correlation analysis revealed that PD-1 mRNA levels correlated negatively with T-score (r = -0.209, P < 0.01). ROC curve analysis showed that serum uric acid (SUA), PD-1 mRNA and both combined displayed higher diagnostic value in patients with PG, NAPPG and APPG compared to that in NCs and patients with non-PG arthritis (NPG). Moreover, ROC curve analysis showed that SUA and PD-1 mRNA had good diagnostic value in APPG, with the greatest diagnostic power when combined. PD-1 mRNA could be a clinical auxiliary diagnostic biomarker for APPG, and the combined use of PD-1 mRNA and SUA is better than that of SUA alone.
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Affiliation(s)
- Jing Su
- Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.,Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xuefang Zhang
- Hai Zhu Qu Jiang Hai Jie Community Health Service Center, Guangzhou, China
| | - Qing Zhao
- Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhaodi Guo
- Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jianxiong Wu
- Hai Zhu Qu Jiang Hai Jie Community Health Service Center, Guangzhou, China
| | - Guoqiang Chen
- Hai Zhu Qu Jiang Hai Jie Community Health Service Center, Guangzhou, China
| | - Qianxin Liang
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhixiang Chen
- Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhiliang He
- Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiuping Cai
- Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Manlin Xie
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Lei Zheng
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Kewei Zhao
- Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.,Guangzhou University of Chinese Medicine, Guangzhou, China
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Yang P, Pi X, Marion TN, Wang J, Wang G, Xie Y, Xie D, Liu Y. Gout inheritance in an extended Chinese family analyzed by whole-exome sequencing: A case-report. Medicine (Baltimore) 2020; 99:e20057. [PMID: 32569156 PMCID: PMC7310917 DOI: 10.1097/md.0000000000020057] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Revised: 02/06/2020] [Accepted: 03/26/2020] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION Gout is a worldwide chronic disease generally caused by high serum levels of uric acid. Using whole exome sequencing, we aimed to explore genetic alterations in hereditary gout. PATIENTS' CONCERNS There were 9 direct descendants diagnosed with gout in total in this family. The patients concerned about the high incidence and inheritance of gout. DIAGNOSIS The youngest propositus was diagnosed as gout in our hospital. Diagnoses of other patients in this family were made on the foundation of history and clinical tests. INTERVENTIONS Six direct descendants and 3 healthy spouses in 1 family were recruited in our study. Whole-exome sequencing was conducted in all participants. OUTCOMES Whole-exome sequencing and genetic analysis revealed 2 putative rare inherited deleterious variants, which were detected only in direct descendants. Twelve gout and uric acid (UC)-related nucleotide sequence variants previously reported by GWAS were detected among all subjects. CONCLUSIONS In the case of this family, the GWAS identified gout and UC-related nucleotide sequence variants may increase the risk of developing gout, but penetrance was not complete. The rare sequence variants in low-density lipoprotein receptor-related protein 1 (LRP1) and oncoprotein induced transcript 3 (OIT3) may have contributed to inheritance of gout within the 5 generations of family members in this study.
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Affiliation(s)
| | - Xuenan Pi
- Precision Medicine Key Laboratory of Sichuan Province & Precision Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, P.R. China
| | - Tony N. Marion
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee
| | | | - Gang Wang
- Precision Medicine Key Laboratory of Sichuan Province & Precision Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, P.R. China
| | | | - Dan Xie
- Precision Medicine Key Laboratory of Sichuan Province & Precision Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, P.R. China
| | - Yi Liu
- Department of Rheumatology
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21
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Sex Differences in Urate Handling. Int J Mol Sci 2020; 21:ijms21124269. [PMID: 32560040 PMCID: PMC7349092 DOI: 10.3390/ijms21124269] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/11/2020] [Accepted: 06/12/2020] [Indexed: 02/07/2023] Open
Abstract
Hyperuricemia, or elevated serum urate, causes urate kidney stones and gout and also increases the incidence of many other conditions including renal disease, cardiovascular disease, and metabolic syndrome. As we gain mechanistic insight into how urate contributes to human disease, a clear sex difference has emerged in the physiological regulation of urate homeostasis. This review summarizes our current understanding of urate as a disease risk factor and how being of the female sex appears protective. Further, we review the mechanisms of renal handling of urate and the significant contributions from powerful genome-wide association studies of serum urate. We also explore the role of sex in the regulation of specific renal urate transporters and the power of new animal models of hyperuricemia to inform on the role of sex and hyperuricemia in disease pathogenesis. Finally, we advocate the use of sex differences in urate handling as a potent tool in gaining a further understanding of physiological regulation of urate homeostasis and for presenting new avenues for treating the constellation of urate related pathologies.
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22
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Sun SS, Zhang DH, Shi Y, Lin CJ, Lin JY. Efficacy and safety of urate-lowering treatments in patients with hyperuricemia: A comprehensive network meta-analysis of randomized controlled trials. J Clin Pharm Ther 2020; 45:729-742. [PMID: 32406077 DOI: 10.1111/jcpt.13156] [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: 02/11/2020] [Revised: 04/04/2020] [Accepted: 04/09/2020] [Indexed: 12/14/2022]
Abstract
WHAT IS KNOWN AND OBJECTIVE Hyperuricemia (HUA) and gout are considerable public health problems because of their increasing incidence and interactions with other diseases. We aimed to evaluate the efficacy and safety of urate-lowering therapies (ULTs) for patients. METHODS A systematic literature review was conducted, and a network meta-analysis was performed on the included studies using the Markov Chain Monte Carlo simulation method and a Bayesian statistical framework. We calculated surface under the cumulative ranking curve (SUCRA) values and performed clustered ranking to combine the efficacy and safety results. RESULTS Twenty-two randomized controlled studies were identified for the efficacy analysis, and 20 studies were identified for the safety analysis. Compared with the placebo, the ULTs were efficient and safe. Febuxostat 120 mg/d and allopurinol 200 mg/d had the highest SUCRA scores for efficacy and safety, respectively. Clustered ranking results showed that febuxostat 120 mg/d was the best in terms of efficacy and safety, topiroxostat 120/160 mg/d was similar to febuxostat 80 mg/d in terms of efficacy but safer, and allopurinol was not inferior to topiroxostat. WHAT IS NEW AND CONCLUSION Febuxostat had the best efficacy and safety results among the tested agents, and topiroxostat and allopurinol appeared to have fewer adverse events.
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Affiliation(s)
- Shan-Shan Sun
- Department of Pharmacy, The First Hospital of China Medical University, Shenyang, Liaoning Province, PR China.,School of Pharmaceutical Science, China Medical University, Shenyang City, Liaoning Province, China
| | - Dong-Hu Zhang
- Department of Pharmacy, The First Hospital of China Medical University, Shenyang, Liaoning Province, PR China
| | - Yue Shi
- Department of Pharmacy, The First Hospital of China Medical University, Shenyang, Liaoning Province, PR China
| | - Cheng-Jiang Lin
- Department of Pharmacy, The First Hospital of China Medical University, Shenyang, Liaoning Province, PR China
| | - Jian-Yang Lin
- Department of Pharmacy, The First Hospital of China Medical University, Shenyang, Liaoning Province, PR China
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23
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Abstract
PURPOSE OF REVIEW Many novel genetic associations in the field of hyperuricaemia and gout have been described recently. This review discusses advances in gout genetics and their potential clinical applications. RECENT FINDINGS Genome-wide association studies have identified approximately 30 serum urate-associated loci, some of which represent targets for drug development in gout. Some genes implicated in initiating the inflammatory response to deposited crystals in gout flares have also been described. In addition, genetic studies have been used to understand the link between hyperuricaemia and other comorbidities, particularly cardiometabolic diseases. ABCG2 has been established as a key genetic determinant in the onset of gout, and plays a role in the progression and severity of disease. Recent pharmacogenetic studies have also demonstrated the association between ABCG2 and poor response to allopurinol, and the link between HLA-B58:01 genotype and adverse drug reactions to allopurinol. SUMMARY Advances in gout genetics have provided important molecular insights into disease pathogenesis, better characterized the pharmacogenetics of allopurinol, and raised the possibility of using genetic testing to provide personalized treatment for patients. Prospective studies are now needed to clarify whether genetic testing in gout provides further benefit when added to established clinical management.
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24
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Dong Z, Zhou J, Jiang S, Li Y, Zhao D, Yang C, Ma Y, He H, Ji H, Jin L, Zou H, Wang J. Epistatic interaction between PKD2 and ABCG2 influences the pathogenesis of hyperuricemia and gout. Hereditas 2020; 157:2. [PMID: 32000861 PMCID: PMC6986014 DOI: 10.1186/s41065-020-0116-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 01/14/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Genetic background affects serum urate concentration and gout risk, especially regarding these variants in the urate-transporter gene ABCG2. However, the role of epistasis between PKD2 and ABCG2 on the pathogenesis of gout is poorly understood. Here we assess this epistatic interaction in the progression from elevated serum urate to gout. RESULTS We identified two epistatic interaction pairs (rs2728121: rs1481012 and rs2728121: rs2231137) were associated with urate levels in 4914 Chinese individuals (Pint = 0.018 and 0.004, respectively). Using subgroup analysis for gender and BMI, we found the degree of associations was varied by gender and BMI. The SNP pair rs2728121:rs1481012 influenced urate levels in females and overweight subjects (Pint = 0.006 and 0.022, respectively), but rs2728121:rs2231137 did in males, overweight and normal-weight subjects (Pint = 0.017, 0.047 and 0.013, respectively). Consistent results were also observed in associations between these epistatic interactions with hyperuricemia. Next, the SNP pair rs2728121:rs2231137 was identified to influence the development of gout from both hyperuricemia and healthy (Pint = 0.035 and 0.001, respectively), especially in males (Pint = 0.030 and 0.001, respectively). Furthermore, we demonstrated that interacting regions were enriched by regulatory elements. Finally, we observed a strong gene co-expression pattern between PKD2 and ABCG2 (r = 0.743, P = 5.83E-06). CONCLUSION Our findings indicate epistasis between PKD2 and ABCG2 influence serum urate concentrations, hyperuricemia and gout risk, thus providing insight into the pathogenesis of gout.
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Affiliation(s)
- Zheng Dong
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Jiangwan Campus, 2005 Songhu Road, Shanghai, 200438, People's Republic of China
| | - Jingru Zhou
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Jiangwan Campus, 2005 Songhu Road, Shanghai, 200438, People's Republic of China
| | - Shuai Jiang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Jiangwan Campus, 2005 Songhu Road, Shanghai, 200438, People's Republic of China
| | - Yuan Li
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Jiangwan Campus, 2005 Songhu Road, Shanghai, 200438, People's Republic of China
| | - Dongbao Zhao
- Division of Rheumatology and Immunology, Changhai Hospital, Shanghai, China
| | - Chengde Yang
- Division of Rheumatology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yanyun Ma
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Jiangwan Campus, 2005 Songhu Road, Shanghai, 200438, People's Republic of China
| | - Hongjun He
- Division of Rheumatology, Taixing People's Hospital, Jiangsu Province, China
| | - Hengdong Ji
- Division of Rheumatology, Taizhou People's Hospital, Jiangsu Province, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Jiangwan Campus, 2005 Songhu Road, Shanghai, 200438, People's Republic of China
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu Province, China
| | - Hejian Zou
- Division of Rheumatology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040, People's Republic of China.
- Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China.
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Jiangwan Campus, 2005 Songhu Road, Shanghai, 200438, People's Republic of China.
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu Province, China.
- Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China.
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25
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Major TJ, Dalbeth N, Stahl EA, Merriman TR. An update on the genetics of hyperuricaemia and gout. Nat Rev Rheumatol 2019; 14:341-353. [PMID: 29740155 DOI: 10.1038/s41584-018-0004-x] [Citation(s) in RCA: 149] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
A central aspect of the pathogenesis of gout is elevated urate concentrations, which lead to the formation of monosodium urate crystals. The clinical features of gout result from an individual's immune response to these deposited crystals. Genome-wide association studies (GWAS) have confirmed the importance of urate excretion in the control of serum urate levels and the risk of gout and have identified the kidneys, the gut and the liver as sites of urate regulation. The genetic contribution to the progression from hyperuricaemia to gout remains relatively poorly understood, although genes encoding proteins that are involved in the NLRP3 (NOD-, LRR- and pyrin domain-containing 3) inflammasome pathway play a part. Genome-wide and targeted sequencing is beginning to identify uncommon population-specific variants that are associated with urate levels and gout. Mendelian randomization studies using urate-associated genetic variants as unconfounded surrogates for lifelong urate exposure have not supported claims that urate is causal for metabolic conditions that are comorbidities of hyperuricaemia and gout. Genetic studies have also identified genetic variants that predict responsiveness to therapies (for example, urate-lowering drugs) for treatment of hyperuricaemia. Future research should focus on large GWAS (that include asymptomatic hyperuricaemic individuals) and on increasing the use of whole-genome sequencing data to identify uncommon genetic variants with increased penetrance that might provide opportunities for clinical translation.
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Affiliation(s)
- Tanya J Major
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Eli A Stahl
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand.
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26
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Integrative Genome-Wide Association Studies of eQTL and GWAS Data for Gout Disease Susceptibility. Sci Rep 2019; 9:4981. [PMID: 30899057 PMCID: PMC6428872 DOI: 10.1038/s41598-019-41434-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Accepted: 02/26/2019] [Indexed: 01/08/2023] Open
Abstract
There is a paucity of genome-wide association study on Han Chinese gout patients. We performed a genome-wide association meta-analysis on two Taiwanese cohorts consisting of 758 gout cases and 14166 controls of Han Chinese ancestry. All the participants were recruited from the Taiwan Biobank. For pathway analysis, we applied ICSNPathway (Identify candidate Causal SNPs and Pathways) analysis, and to investigate whether expression-associated genetic variants contribute to gout susceptibility, we systematically integrated lymphoblastoid expression quantitative trait loci (eQTL) and genome-wide association data of gout using Sherlock, a Bayesian statistical frame-work. In the meta-analysis, we found 4 SNPs that reached genome-wide statistical significance (P < 5.0 × 10−8). These SNPs are in or close to ABCG2, PKD2 and NUDT9 gene on chromosome 4. ICSNPathway analysis identified rs2231142 as the candidate causal SNP, and ABCG2 as the candidate gene. Sherlcok analysis identified three genes, which were significantly associated with the risk of gout (PKD2, NUTD9, and NAP1L5). To conclude, we reported novel susceptible loci for gout that has not been previously addressed in the literature.
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27
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Papandreou C, Li J, Liang L, Bulló M, Zheng Y, Ruiz-Canela M, Yu E, Guasch-Ferré M, Razquin C, Clish C, Corella D, Estruch R, Ros E, Fitó M, Arós F, Serra-Majem L, Rosique N, Martínez-González MA, Hu FB, Salas-Salvadó J. Metabolites related to purine catabolism and risk of type 2 diabetes incidence; modifying effects of the TCF7L2-rs7903146 polymorphism. Sci Rep 2019; 9:2892. [PMID: 30814579 PMCID: PMC6393542 DOI: 10.1038/s41598-019-39441-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 01/11/2019] [Indexed: 12/29/2022] Open
Abstract
Studies examining associations between purine metabolites and type 2 diabetes (T2D) are limited. We prospectively examined associations between plasma levels of purine metabolites with T2D risk and the modifying effects of transcription factor-7-like-2 (TCF7L2) rs7903146 polymorphism on these associations. This is a case-cohort design study within the PREDIMED study, with 251 incident T2D cases and a random sample of 694 participants (641 non-cases and 53 overlapping cases) without T2D at baseline (median follow-up: 3.8 years). Metabolites were semi-quantitatively profiled with LC-MS/MS. Cox regression analysis revealed that high plasma allantoin levels, including allantoin-to-uric acid ratio and high xanthine-to-hypoxanthine ratio were inversely and positively associated with T2D risk, respectively, independently of classical risk factors. Elevated plasma xanthine and inosine levels were associated with a higher T2D risk in homozygous carriers of the TCF7L2-rs7903146 T-allele. The potential mechanisms linking the aforementioned purine metabolites and T2D risk must be also further investigated.
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Affiliation(s)
- Christopher Papandreou
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Liming Liang
- Departments of Epidemiology and Statistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mònica Bulló
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain. .,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
| | - Yan Zheng
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Miguel Ruiz-Canela
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - Edward Yu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marta Guasch-Ferré
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Cristina Razquin
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - Clary Clish
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Department of Internal Medicine, Department of Endocrinology and Nutrition Institut d'Investigacions Biomediques August Pi Sunyer (IDI- BAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Lipid Clinic, Department of Endocrinology and Nutrition Institut d'Investigacions Biomediques August Pi Sunyer (IDI- BAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Cardiovascular and Nutrition Research Group, Institut de Recerca Hospital del Mar, Barcelona, Spain
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Department of Cardiology, University Hospital of Alava, Vitoria, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Department of Clinical Sciences, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Nuria Rosique
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel A Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Departments of Epidemiology and Statistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain. .,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
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28
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The systems biology of uric acid transporters: the role of remote sensing and signaling. Curr Opin Nephrol Hypertens 2019; 27:305-313. [PMID: 29847376 DOI: 10.1097/mnh.0000000000000427] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW Uric acid homeostasis in the body is mediated by a number of SLC and ABC transporters in the kidney and intestine, including several multispecific 'drug' transporters (e.g., OAT1, OAT3, and ABCG2). Optimization of uric acid levels can be viewed as a 'systems biology' problem. Here, we consider uric acid transporters from a systems physiology perspective using the framework of the 'Remote Sensing and Signaling Hypothesis.' This hypothesis explains how SLC and ABC 'drug' and other transporters mediate interorgan and interorganismal communication (e.g., gut microbiome and host) via small molecules (e.g., metabolites, antioxidants signaling molecules) through transporters expressed in tissues lining body fluid compartments (e.g., blood, urine, cerebrospinal fluid). RECENT FINDINGS The list of uric acid transporters includes: SLC2A9, ABCG2, URAT1 (SLC22A12), OAT1 (SLC22A6), OAT3 (SLC22A8), OAT4 (SLC22A11), OAT10 (SLC22A13), NPT1 (SLC17A1), NPT4 (SLC17A3), MRP2 (ABCC2), MRP4 (ABCC4). Normally, SLC2A9, - along with URAT1, OAT1 and OAT3, - appear to be the main transporters regulating renal urate handling, while ABCG2 appears to regulate intestinal transport. In chronic kidney disease (CKD), intestinal ABCG2 becomes much more important, suggesting remote organ communication between the injured kidney and the intestine. SUMMARY The remote sensing and signaling hypothesis provides a useful systems-level framework for understanding the complex interplay of uric acid transporters expressed in different tissues involved in optimizing uric acid levels under normal and diseased (e.g., CKD, gut microflora dysbiosis) conditions.
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29
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Wang S, Fang Y, Yu X, Guo L, Zhang X, Xia D. The flavonoid-rich fraction from rhizomes of Smilax glabra Roxb. ameliorates renal oxidative stress and inflammation in uric acid nephropathy rats through promoting uric acid excretion. Biomed Pharmacother 2018; 111:162-168. [PMID: 30579255 DOI: 10.1016/j.biopha.2018.12.050] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 12/10/2018] [Accepted: 12/12/2018] [Indexed: 10/27/2022] Open
Abstract
Uric acid metabolic disorder is considered to be the main pathogenesis of uric acid nephropathy (UN). Smilax glabra Roxb. is a traditional Chinese herb which has been used in the treatment of gout, but the mechanism was unclear. In this study, we investigated the protective effects of the flavonoid-rich fraction from rhizomes of Smilax glabra Roxb. (SGF) on uric acid nephropathy rats and its underlying mechanisms of promoting uric acid excretion. Sprague Dawley (SD) rats were induced by high purine diet (yeast pellets + adenine) for 5 weeks. Rats were orally treated with SGF or allopurinol daily. The biochemical parameters and enzymes in different treated rats were determined by commercial kits. Kidney pathology was visualized using optical microscopy and electron microscopy. Renal inflammatory factors were detected by ELISA. Renal fibrosis factors and uric acid transporters were analyzed by real time RT-PCR and western blot. The results showed that SGF significantly improved kidney function. Histopathologic examination revealed that urate-induced renal damage was markedly reversed by SGF. Meanwhile, SGF treatment was also found to significantly inhibit renal oxidative stress. SGF treatment obviously suppressed the inflammatory factors of interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), interleukin-1β (IL-1β), cyclooxygenase-2 (COX-2) and the profibrotic factors of basic fibroblast growth factor (bFGF), transforming growth factor-β1 (TGF-β1) expression in UN rats. Moreover, SGF either significantly inhibited uric acid production or promoted uric acid excretion in UN rats. The mechanism of SGF promoting uric acid excretion was related to its increase of ATP-binding cassette transporter G2 (ABCG2), organic anion transporter 1 (OAT1), organic anion transporters 2 (OCT2) and organic cation/carnitine transporters 2 (OCTN2) expression. In conclusion, SGF could ameliorate renal oxidative stress and inflammation in UN rats through promoting uric acid excretion.
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Affiliation(s)
- Siwei Wang
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China; Department of Central Laboratory, Affiliated Quzhou Central Hospital, Zhejiang Chinese Medical University, Quzhou, 324000, China; Department of Pharmacy, Affiliated Quzhou Central Hospital, Zhejiang Chinese Medical University, Quzhou, 324000, China
| | - Yuejuan Fang
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Xinfen Yu
- Hangzhou Center for Disease Control and Prevention, Hangzhou, 310053, China
| | - Lu Guo
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Xiaoxi Zhang
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Daozong Xia
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
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30
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Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. Nat Commun 2018; 9:4455. [PMID: 30367059 PMCID: PMC6203810 DOI: 10.1038/s41467-018-06356-1] [Citation(s) in RCA: 165] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Accepted: 08/31/2018] [Indexed: 12/20/2022] Open
Abstract
Thyroid dysfunction is an important public health problem, which affects 10% of the general population and increases the risk of cardiovascular morbidity and mortality. Many aspects of thyroid hormone regulation have only partly been elucidated, including its transport, metabolism, and genetic determinants. Here we report a large meta-analysis of genome-wide association studies for thyroid function and dysfunction, testing 8 million genetic variants in up to 72,167 individuals. One-hundred-and-nine independent genetic variants are associated with these traits. A genetic risk score, calculated to assess their combined effects on clinical end points, shows significant associations with increased risk of both overt (Graves’ disease) and subclinical thyroid disease, as well as clinical complications. By functional follow-up on selected signals, we identify a novel thyroid hormone transporter (SLC17A4) and a metabolizing enzyme (AADAT). Together, these results provide new knowledge about thyroid hormone physiology and disease, opening new possibilities for therapeutic targets. Thyroid dysfunction is a common public health problem and associated with cardiovascular co-morbidities. Here, the authors carry out genome-wide meta-analysis for thyroid hormone (TH) levels, hyper- and hypothyroidism and identify SLC17A4 as a TH transporter and AADAT as a TH metabolizing enzyme.
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31
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Zhu W, Deng Y, Zhou X. Multiple Membrane Transporters and Some Immune Regulatory Genes are Major Genetic Factors to Gout. Open Rheumatol J 2018; 12:94-113. [PMID: 30123371 PMCID: PMC6062909 DOI: 10.2174/1874312901812010094] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Revised: 05/30/2018] [Accepted: 06/20/2018] [Indexed: 01/10/2023] Open
Abstract
Gout is a common form of inflammatory arthritis caused by hyperuricemia and the deposition of Monosodium Urate (MSU) crystals. It is also considered as a complex disorder in which multiple genetic factors have been identified in association with its susceptibility and/or clinical outcomes. Major genes that were associated with gout include URAT1, GLUT9, OAT4, NPT1 (SLC17A1), NPT4 (SLC17A3), NPT5 (SLC17A4), MCT9, ABCG2, ABCC4, KCNQ1, PDZK1, NIPAL1, IL1β, IL-8, IL-12B, IL-23R, TNFA, MCP-1/CCL2, NLRP3, PPARGC1B, TLR4, CD14, CARD8, P2X7R, EGF, A1CF, HNF4G and TRIM46, LRP2, GKRP, ADRB3, ADH1B, ALDH2, COMT, MAOA, PRKG2, WDR1, ALPK1, CARMIL (LRRC16A), RFX3, BCAS3, CNIH-2, FAM35A and MYL2-CUX2. The proteins encoded by these genes mainly function in urate transport, inflammation, innate immunity and metabolism. Understanding the functions of gout-associated genes will provide important insights into future studies to explore the pathogenesis of gout, as well as to develop targeted therapies for gout.
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Affiliation(s)
- Weifeng Zhu
- Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Nanchang University, Nanchang, China.,Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yan Deng
- Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.,Department of Ophthalmology of Children, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiaodong Zhou
- Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
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Vadakedath S, Kandi V. Probable Potential Role of Urate Transporter Genes in the Development of Metabolic Disorders. Cureus 2018; 10:e2382. [PMID: 29850377 PMCID: PMC5973493 DOI: 10.7759/cureus.2382] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Metabolic disorders are a group of interrelated conditions which increases the risk of developing heart diseases, stroke, and diabetes. These usually occur as a consequence of deficiency of enzymes involved in biochemical reactions in the body. The dietary habits, lack of physical exercise, stress, and genetic susceptibility leads to an increased risk of developing metabolic disorders. A diet rich in processed food items containing high calories aggravates the production of a purine metabolite, the uric acid (UA). UA functions as an antioxidant, protects against inflammation, aging, and cancer. It exists as urate ions in the circulation and blood level of UA is maintained by a balance between its production in the liver and its excretion by the renal tubules. The regular excretion of UA through the kidneys is necessary to maintain optimum blood levels of UA (3-7 mg/dl). There are various transporters of uric acid present around the renal tubules, which help in reabsorption of UA into the blood. These urate transporters (UT) are proteins coded in the genes. Mutations in these genes may prompt disturbances in UA reabsorption, and could lead to the development of hyperuricaemia, insulin resistance, endothelial dysfunction, diabetes and other metabolic diseases. This paper reviews eight such genes coding for UTs and attempts to unravel the link between the activities of UA, UTs, and the consequences during mutations in the genes coding for the UTs in the development of metabolic disorders. The genes reviewed included SLC2A9, SLC17A1, SLC22A12, SLC16A9, GCKR, LRRC16A, PDZK1, and ABCG2.
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Genetic variants in two pathways influence serum urate levels and gout risk: a systematic pathway analysis. Sci Rep 2018; 8:3848. [PMID: 29497127 PMCID: PMC5832812 DOI: 10.1038/s41598-018-21858-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 12/04/2017] [Indexed: 12/17/2022] Open
Abstract
The aims of this study were to identify candidate pathways associated with serum urate and to explore the genetic effect of those pathways on the risk of gout. Pathway analysis of the loci identified in genome-wide association studies (GWASs) showed that the ion transmembrane transporter activity pathway (GO: 0015075) and the secondary active transmembrane transporter activity pathway (GO: 0015291) were both associated with serum urate concentrations, with PFDR values of 0.004 and 0.007, respectively. In a Chinese population of 4,332 individuals, the two pathways were also found to be associated with serum urate (PFDR = 1.88E-05 and 3.44E-04, separately). In addition, these two pathways were further associated with the pathogenesis of gout (PFDR = 1.08E-08 and 2.66E-03, respectively) in the Chinese population and a novel gout-associated gene, SLC17A2, was identified (OR = 0.83, PFDR = 0.017). The mRNA expression of candidate genes also showed significant differences among different groups at pathway level. The present study identified two transmembrane transporter activity pathways (GO: 0015075 and GO: 0015291) were associations with serum urate concentrations and the risk of gout. SLC17A2 was identified as a novel gene that influenced the risk of gout.
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Chen CJ, Tseng CC, Yen JH, Chang JG, Chou WC, Chu HW, Chang SJ, Liao WT. ABCG2 contributes to the development of gout and hyperuricemia in a genome-wide association study. Sci Rep 2018; 8:3137. [PMID: 29453348 PMCID: PMC5816657 DOI: 10.1038/s41598-018-21425-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 01/25/2018] [Indexed: 01/31/2023] Open
Abstract
Although many genome-wide association studies (GWASs) of hyperuricemia or gout have been reported, the related genetic factors and the mechanisms from hyperuricemia to gouty attack remain unclear. This study aimed to identify genetic factors and pathogenesis of gout from hyperuricemia by genome-wide association study (GWAS). 747 gout patients, 747 hyperuricemia and 2071 age-matched controls were recruited and analyzed with Affymetrix 650 K chip to find the related genetic variants. The functions of the related genes were investigated in an endothelial cell (EC) with urate crystal stimulation. The GWAS results showed 36 SNPs to be strongly associated with gout compared to controls (all p-values < 10−7). Whereas the rs2231142 in ABCG2 gene had significant associations between gout and controls, between gout and hyperuricemia, and between hyperuricemia and controls (all p-values < 10−7), and the ORs were 4.34, 3.37 and 2.15 (all p-values < 0.001) after adjustment of potential confounders, respectively. The cell model showed significantly higher IL-8 release from EC combined with ABCG2 knockdown. We concluded that ABCG2 gene contributed to hyperuricemia but also gout, and that it was involved in the inflammation dysregulation via augmented IL-8 release in EC.
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Affiliation(s)
- Chung-Jen Chen
- Division of General Internal Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chia-Chun Tseng
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jeng-Hsien Yen
- Division of Rheumatology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jan-Gowth Chang
- Department of Laboratory Medicine and Epigenome Research Center, China Medical University Hospital, China Medical University, Kaohsiung, Taichung, Taiwan
| | - Wen-Cheng Chou
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Hou-Wei Chu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Shun-Jen Chang
- Department of Kinesiology, Health and Leisure Studies, National University of Kaohsiung, Kaohsiung, Taiwan.
| | - Wei-Ting Liao
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan. .,Department of Biotechnology, College of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan.
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Zhang H, Liu J, Dong Z, Ding Y, Qian Q, Zhou J, Ma Y, Mei Z, Chen X, Li Y, Yuan Z, Zhang J, Yang Y, Chen X, Jin L, Zou H, Wang X, Wang J. Elevated serum urate is a potential factor in reduction of total bilirubin: a Mendelian randomization study. Oncotarget 2017; 8:103864-103873. [PMID: 29262606 PMCID: PMC5732772 DOI: 10.18632/oncotarget.21977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Accepted: 10/03/2017] [Indexed: 11/25/2022] Open
Abstract
Aim A Mendelian randomization study (MRS) can be linked to a "natural" randomized controlled trial in order to avoid potential bias of observational epidemiology. We aimed to study the possible association between serum urate (SU) and total bilirubin (TBIL) using MRS. Materials and Methods An observational epidemiological study using ordinary least squares (OLS) regression and MRS using two-stage least square (TLS) regression was conducted to assess the effect of SU on TBIL. The comparison between the OLS regression and the TLS regression was analyzed by the Durbin-Hausman test. If the p value is significant, it suggests that the OLS regression cannot evaluate the relationship between exposure and outcome, and the TLS regression is precise; while if the p value is not significant, there would be no significant difference between the two regressions. Results A total of 3,753 subjects were analyzed. In OLS regression, there was no significant association between SU and TBIL in all subjects and subgroup analysis (all p > 0.05). However, MRS revealed a negative correlation between SU and TBIL after adjustment for confounders (beta = -0.021, p = 0.010). Further analysis was conducted in different SU subgroups, and results show that elevated SU was associated with a significant reduction in TBIL after adjustment for hyperuricemic subjects (beta = -0.053, p = 0.027). In addition, the results using the Durbin-Hausman test further confirmed a negative effect of SU on TBIL (p = 0.002 and 0.010, respectively). Conclusions This research shows for the first time that elevated SU was a potential causal factor in the reduction of TBIL and it provides strong evidence to resolve the controversial association between SU and TBIL.
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Affiliation(s)
- Hui Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Jing Liu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Zheng Dong
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Yue Ding
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Qiaoxia Qian
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Jingru Zhou
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Yanyun Ma
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Zhendong Mei
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Xiangxiang Chen
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Yuan Li
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Ziyu Yuan
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Juan Zhang
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Yajun Yang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China.,Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Hejian Zou
- Division of Rheumatology, Huashan Hospital, Fudan University, Shanghai, China.,Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
| | - Xiaofeng Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
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Fanning N, Merriman TR, Dalbeth N, Stamp LK. An association of smoking with serum urate and gout: A health paradox. Semin Arthritis Rheum 2017; 47:825-842. [PMID: 29398126 DOI: 10.1016/j.semarthrit.2017.11.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 11/01/2017] [Accepted: 11/16/2017] [Indexed: 12/14/2022]
Abstract
BACKGROUND The potential effect of cigarette smoking on levels of serum urate and risk of gout has been considered by a large number of studies, either as the primary variable of interest or as a covariate. METHODS Here we systematically review the published evidence relating to the relationship of smoking with serum urate, hyperuricaemia, and gout. RESULTS Many studies have reported that smoking reduces serum urate, however, the evidence has not been conclusive with other studies pointing to the opposite or no effect. It has also been suggested that smoking reduces the risk of gout, although there is some evidence to contradict this finding. CONCLUSION A consensus has yet to be reached as to the effect of smoking on serum urate levels and the risk of gout.
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Affiliation(s)
- Niamh Fanning
- Department of Medicine, University of Otago, Christchurch, PO Box 4345, Christchurch, New Zealand.
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Lisa K Stamp
- Department of Medicine, University of Otago, Christchurch, PO Box 4345, Christchurch, New Zealand
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Mendelian randomization analysis indicates serum urate has a causal effect on renal function in Chinese women. Int Urol Nephrol 2017; 49:2035-2042. [PMID: 28856502 DOI: 10.1007/s11255-017-1686-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2017] [Accepted: 08/19/2017] [Indexed: 01/14/2023]
Abstract
PURPOSE High levels of serum uric acid can predict the progression of stage I and II chronic kidney disease (CKD), but whether serum urate is an independent risk factor or has causal impact on serum creatinine (SCr) and renal function remains unclear. METHODS Mendelian randomization was used to determine whether serum uric acid had a causal effect on renal function, represented by estimated glomerular filtration rate (eGFR), with potential confounding factors, in 3734 subjects from the Taizhou Longitudinal Study. In the two-stage least squares method of Mendelian randomization, serum uric acid level was selected as the exposure, genetic risk score of uric acid transporters was selected as the instrumental variable, and SCr and eGFR were selected as the outcomes. RESULTS The result of the analysis showed that increased serum uric acid was not a causal effect on renal function, but it was a causal effect on reducing estimated glomerular filtration rate in both the female population and the subjects who were under 65 years old. We also found that increased serum uric acid levels led to impaired renal function only in the subjects with normal eGFR values. In addition, the serum uric acid was a risk factor for renal function in the subjects with relatively high levels of fasting glucose or who were currently smokers. CONCLUSIONS Although serum urate is not an independent risk factor for renal dysfunction, it has a causal effect on renal dysfunction in either female or individuals of under 65, or normal eGFR, or high level of fasting glucose, or current smokers.
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