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Cho C, Kim B, Kim DS, Hwang MY, Shim I, Song M, Lee YC, Jung SH, Cho SK, Park WY, Myung W, Kim BJ, Do R, Choi HK, Merriman TR, Kim YJ, Won HH. Large-scale cross-ancestry genome-wide meta-analysis of serum urate. Nat Commun 2024; 15:3441. [PMID: 38658550 PMCID: PMC11043400 DOI: 10.1038/s41467-024-47805-4] [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: 08/08/2023] [Accepted: 04/10/2024] [Indexed: 04/26/2024] Open
Abstract
Hyperuricemia is an essential causal risk factor for gout and is associated with cardiometabolic diseases. Given the limited contribution of East Asian ancestry to genome-wide association studies of serum urate, the genetic architecture of serum urate requires exploration. A large-scale cross-ancestry genome-wide association meta-analysis of 1,029,323 individuals and ancestry-specific meta-analysis identifies a total of 351 loci, including 17 previously unreported loci. The genetic architecture of serum urate control is similar between European and East Asian populations. A transcriptome-wide association study, enrichment analysis, and colocalization analysis in relevant tissues identify candidate serum urate-associated genes, including CTBP1, SKIV2L, and WWP2. A phenome-wide association study using polygenic risk scores identifies serum urate-correlated diseases including heart failure and hypertension. Mendelian randomization and mediation analyses show that serum urate-associated genes might have a causal relationship with serum urate-correlated diseases via mediation effects. This study elucidates our understanding of the genetic architecture of serum urate control.
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Affiliation(s)
- Chamlee Cho
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Beomsu Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Dan Say Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Mi Yeong Hwang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do, Republic of Korea
| | - Injeong Shim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Minku Song
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Yeong Chan Lee
- Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Sang-Hyuk Jung
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sung Kweon Cho
- Department of Pharmacology, Ajou University School of Medicine (AUSOM), Suwon, Republic of Korea
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do, Republic of Korea
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hyon K Choi
- Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Tony R Merriman
- Biochemistry Department, University of Otago, Dunedin, New Zealand
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do, Republic of Korea.
| | - Hong-Hee Won
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
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Mao T, He Q, Yang J, Jia L, Xu G. Relationship between gout, hyperuricemia, and obesity-does central obesity play a significant role?-a study based on the NHANES database. Diabetol Metab Syndr 2024; 16:24. [PMID: 38254222 PMCID: PMC10804703 DOI: 10.1186/s13098-024-01268-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 01/14/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Our objective was to evaluate how various measures of obesity, such as body mass index(BMI), body roundness index(BRI), and weigh adjusted waist index(WWI), influence urate levels, prevalence of gout and to compare the disparities among these obesity indicators. METHODS By analyzing the 2001-2018 National Health and Nutrition Examination Survey (NHANES), we assessed the relationship between BMI, WWI, and BRI indices and urate levels, hyperuricemia, and the prevalence of gout. Smoothed curve fitting was used to determine whether there was a nonlinear relationship between BMI,WWI, and BRI indices and urate levels, hyperuricemia, and the prevalence of gout, and threshold effects analysis was used to test this relationship. We also used ROC curves to determine the diagnostic efficacy of BMI, WWI, and BRI on the prevalence of hyperuricemia and gout. RESULTS The study incorporated a total of 29,310 participants aged over 20 years, out of which 14,268 were male. Following the adjustment for the pertinent confounding factors, it was observed that higher levels of BMI, WWI, and BRI were significantly associated with a gradual and dose-dependent increase in urate levels. In the sensitivity analysis, each unit increment in BMI, WWI, and BRI levels exhibited an 8%, 72%, and 26% respective elevation in the risk of hyperuricemia, as well as a 5%, 31%, and 15% respective increase in the risk of gout. Dose-response curves provided evidence of a linear positive correlation between BMI, WWI, BRI, and urate levels, as well as the prevalence of hyperuricemia and gout. Based on the response from the ROC curve, overall, the diagnostic efficacy of BRI for hyperuricemia and gout surpasses that of BMI. CONCLUSION The central obesity indices WWI and BRI levels are superior to BMI in detecting the prevalence of urate levels, hyperuricemia, and gout, and although a clear causal relationship has not yet been established, it is important to recognize the impact of central obesity on uric acid levels and to give it due attention.
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Affiliation(s)
- Tongjun Mao
- Department of Rheumatology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Qian He
- Department of Rheumatology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Junping Yang
- Department of General Practice, Wuhu City SecondPeoplès Hospital, Wuhu, Anhui, China
| | - Lanlan Jia
- Department of Rheumatology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Guofei Xu
- Anhui Normal University School of Educational Sciences, Wuhu, China.
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Cheong KM, Sriranganathan MK, Lee EM. Impact of pharmacist-led collaborative gout clinic on timely achievement of serum uric acid goals. PROCEEDINGS OF SINGAPORE HEALTHCARE 2023. [DOI: 10.1177/20101058231152048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Background The concept of a pharmacist-led collaborative gout clinic is relatively new in Singapore. Objective This study examined the impact of this pilot shared care model on providing dose titration of urate lowering therapy, gout education and patient support to achieve target serum uric acid (sUA) levels. Method A retrospective pre-post study was undertaken to compare outcomes in patients who were started on either allopurinol or febuxostat in the 24 months prior to (Group A: Pre implementation) or 33 months following launch of the collaborative gout clinic (Group B: Post implementation). The collaborative gout clinic comprises of a clinical pharmacist under the supervision of a rheumatologist. Results Of 98 eligible subjects enrolled in our study, there were 50 patients (all prescribed allopurinol) for Group A and 48 patients for Group B (allopurinol n = 29, febuxostat n = 19). Among patients who achieved target sUA level of 360 μmol/L or less at 1 year of drug initiation with use of allopurinol, the median [interquartile range, IQR] time taken to attain target sUA was shorter in Group B than Group A (111 [82–308] days vs. 293 [265–414] days, p = 0.016). As compared to Group A, Group B had lesser patients experiencing gout flare (41.3% vs. 70.0%, p = 0.018) and more patients achieving target sUA (75.9% vs. 22.0%, p < 0.001). Mean ± [standard deviation, SD] daily allopurinol dose to achieve target sUA levels was 276 mg ± [138 mg]. Conclusion Our results demonstrate the use of a pharmacist-led collaborative gout clinic may help to achieve better clinical outcomes in gout management.
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Affiliation(s)
- Kah Mun Cheong
- Department of Pharmacy, Changi General Hospital, Singapore
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Qi J, He P, Yao H, Sun W, Lu P, Qi X, Zhang Z, Jing R, Cui B, Liu D, Ning G. Insulin use and gout risk among patients with type 2 diabetes mellitus: a real-world cohort study in Shanghai, China. Clin Rheumatol 2023; 42:3067-3073. [PMID: 37400692 DOI: 10.1007/s10067-023-06684-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 06/07/2023] [Accepted: 06/25/2023] [Indexed: 07/05/2023]
Abstract
OBJECTIVES The effect of insulin use on gout risk remains unknown. This study aimed to investigate the association between insulin use and gout risk among patients with type 2 diabetes mellitus (T2DM). METHODS Based on the Shanghai Link Healthcare Database, patients with newly diagnosed T2DM, with or without insulin exposure, were identified from January 1, 2014 to December 31, 2020, and followed until December 31, 2021. Apart from the original cohort, we also established a 1:2 propensity score-matched cohort. A time-dependent Cox proportional hazards model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for gout incidence associated with insulin exposure. RESULTS A total of 414,258 patients with T2DM, including 142,505 insulin users and 271,753 insulin non-users, were enrolled in this study. After a median follow-up of 4.08 years (interquartile range, 2.46-5.90 years), the incidence of gout was significantly higher in insulin users than in insulin non-users (319.35 versus 302.20 cases per 100,000 person-years; HR 1.09, 95% CI 1.03-1.16). The results were robust in propensity score-matched cohort, sensitivity analyses, and stratified analysis of aspirin. In other stratified analyses, the association between insulin use and increased gout risk was found only in patients who were female, or aged 40-69 years, or without hypertension, dyslipidemia, ischemic heart disease, chronic lung disease, kidney disease, or not using diuretic. CONCLUSIONS Insulin use is associated with a significantly increased risk of gout among patients with T2DM. Key Points • The first real-world study to investigate the effect of insulin use on gout risk. • Insulin use is associated with a significantly increased risk of gout among patients with type 2 diabetes mellitus.
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Affiliation(s)
- Jiying Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping He
- Link Healthcare Engineering and Information Department, Shanghai Hospital Development Center, Shanghai, China
| | - Huayan Yao
- Computer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Sun
- Wonders Information Co. Ltd, Shanghai, China
| | - Ping Lu
- Wonders Information Co. Ltd, Shanghai, China
| | - Xiaohui Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zizheng Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Renjie Jing
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bin Cui
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Dongmei Liu
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Nguyen TK, Thuy Thi Tran L, Ho Viet D, Thai PH, Ha TP, Ty PV, Duc LP, Ton That Huu D, Cuong LCV. Xanthine oxidase, α-glucosidase and α-amylase inhibitory activities of the essential oil from Piper lolot: In vitro and in silico studies. Heliyon 2023; 9:e19148. [PMID: 37636421 PMCID: PMC10458695 DOI: 10.1016/j.heliyon.2023.e19148] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 07/26/2023] [Accepted: 08/14/2023] [Indexed: 08/29/2023] Open
Abstract
Introduction Piper lolot is a species of herb used as a popular food in Vietnam. Furthermore, the species has been used as a Vietnamese traditional medicine to treat many diseases. Methods Chemical constituents in the essential oil from leaves of Piper lolot were determined using GC/MS analysis. The anti-gout and anti-diabetic activities of the essential oil were determined through the inhibitory assays against xanthine oxidase, α-glucosidase and α-amylase enzymes. In addition, molecular docking simulations were used to elucidate the inhibitory mechanism between the main compounds and the enzymes. Results The dominant constituents of the Piper lolot essential oils were determined as β-caryophyllene (20.6%), β-bisabolene (11.6%), β-selinene (8.4%), β-elemene (7.7%), trans-muurola-4(14),5-diene (7.4%), and (E)-β-ocimene (6.7%). The essential oil displayed xanthine oxidase, α-amylase, and α-glucosidase inhibitory activities with IC50 values of 28.4, 130.6, and 59.1 μg/mL, respectively. The anti-gout and anti-diabetic activities of the essential oil from the P. lolot species are reported for the first time. Furthermore, molecular docking simulation was consistent to in vitro experiments. Conclusion The present study provides initial evidence that the essential oil of P. lolot may be a potential natural source to develop new diabetes preparations.
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Affiliation(s)
- Tan Khanh Nguyen
- Institute of Applied Life Sciences, Dong A University, 33 Xo Viet Nghe Tinh, Hai Chau District, Da Nang, Viet Nam
- Scientific Management Department, Dong A University, Da Nang, Viet Nam
| | - Linh Thuy Thi Tran
- Faculty of Pharmacy, Hue University of Medicine and Pharmacy, Hue University, 06 Ngo Quyen, Hue City, Thua Thien Hue, Viet Nam
| | - Duc Ho Viet
- Faculty of Pharmacy, Hue University of Medicine and Pharmacy, Hue University, 06 Ngo Quyen, Hue City, Thua Thien Hue, Viet Nam
| | - Pham Hong Thai
- Mientrung Institute for Scientific Research, Vietnam National Museum of Nature, Vietnam Academy of Science and Technology, 321 Huynh Thuc Khang, Hue City, Thua Thien Hue, Viet Nam
| | - Tran Phuong Ha
- Mientrung Institute for Scientific Research, Vietnam National Museum of Nature, Vietnam Academy of Science and Technology, 321 Huynh Thuc Khang, Hue City, Thua Thien Hue, Viet Nam
| | - Pham Viet Ty
- Faculty of Chemistry, University of Education, Hue University, 34 Le Loi, Hue City, Thua Thien Hue, Viet Nam
| | - Le Phu Duc
- Hue Medical College, People's Committee of Thua Thien Hue Province, 01 Nguyen Truong to, Hue City, Thua Thien Hue, Viet Nam
| | - Dat Ton That Huu
- Mientrung Institute for Scientific Research, Vietnam National Museum of Nature, Vietnam Academy of Science and Technology, 321 Huynh Thuc Khang, Hue City, Thua Thien Hue, Viet Nam
| | - Le Canh Viet Cuong
- Mientrung Institute for Scientific Research, Vietnam National Museum of Nature, Vietnam Academy of Science and Technology, 321 Huynh Thuc Khang, Hue City, Thua Thien Hue, Viet Nam
- Centre for Conservation of Vietnam Natural Resources and Rescue of Animals and Plants, Vietnam National Museum of Nature, Vietnam Academy of Science and Technology, Phong My, Phong Dien, Thua Thien Hue, Viet Nam
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Amatucci AJ, Padnick-Silver L, LaMoreaux B, Bulbin DH. Comparison Between Early-Onset and Common Gout: A Systematic Literature Review. Rheumatol Ther 2023; 10:809-823. [PMID: 37335432 PMCID: PMC10326179 DOI: 10.1007/s40744-023-00565-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 05/26/2023] [Indexed: 06/21/2023] Open
Abstract
INTRODUCTION Gout is an inflammatory, metabolic disease associated with a high comorbidity burden including cardiovascular disease, hypertension, type 2 diabetes, hyperlipidemia, renal disease, and metabolic syndrome. Approximately 9.2 million Americans have gout, making prognosis and treatment outcome predictors highly important. About 600,000 Americans have early-onset gout (EOG), generally defined as first gout attack at ≤ 40 years of age. However, data on EOG clinical features, comorbidity profile, and treatment response are sparse; this systematic literature review provides insight. METHODS PubMed and American College of Rheumatology (ACR)/European Alliance of the Associations for Rheumatology (EULAR) abstract archives were searched for early-onset gout, "early onset gout," and ("gout" AND "age of onset"). Duplicate, foreign language, single case report, older (before 2016), and irrelevant/data insufficient publications were excluded. The age of diagnosis categorized patients as having common gout (CG, generally > 40 years) or EOG (generally ≤ 40 years). Applicable publications were extensively reviewed/discussed among authors for inclusion/exclusion consensus. RESULTS A total of 283 publications were identified, with 46 (35 articles, 10 abstracts) reviewed and 17 (12 articles, 5 abstracts) ultimately included. Eleven reported clinical characteristics, with 6 EOG-CG retrospective/cross-sectional comparisons. Gout diagnosis preceded cardiometabolic comorbidity and renal comorbidities were less prevalent in EOG than CG patients. EOG patients had more severe disease (more gout flares, polyarticular disease), higher pre-therapy serum urate (SU), and worse oral urate-lowering therapy response. Genetics-focused publications reported higher incidences of dysfunctional urate transporter mutations in EOG patients. CONCLUSIONS This review suggests that EOG is more recalcitrant to urate-lowering therapy, is associated with urate transporter defects, and carries heavy disease burden. Therefore, early rheumatology referral and urate-lowering in a treat-to-target fashion may benefit EOG patients. Interestingly, EOG patients had fewer cardiometabolic comorbidities at diagnosis than CG patients, presenting a potential "window of opportunity" to attenuate cardiometabolic comorbidity development with SU control. Preventing gout-related suffering and health burden is particularly important in these young EOG patients who will live with gout and its sequelae for decades.
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Affiliation(s)
| | | | - Brian LaMoreaux
- Horizon Therapeutics plc, 1 Horizon Way, Deerfield, IL, 60015, USA
| | - David H Bulbin
- Division of Rheumatology, Geisinger Medical Center, Danville, PA, USA
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Choi JH, Kim HR, Song KH. Musculoskeletal complications in patients with diabetes mellitus. Korean J Intern Med 2022; 37:1099-1110. [PMID: 36300322 PMCID: PMC9666255 DOI: 10.3904/kjim.2022.168] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 06/16/2022] [Indexed: 11/27/2022] Open
Abstract
Musculoskeletal conditions are common in patients with diabetes. Several musculoskeletal disorders are viewed as chronic complications of diabetes because epidemiological studies have revealed high correlations between such complications and diabetes, but the pathophysiological links with diabetes remains unclear. Genetic predispositions, shared risk factors, microvascular impairments, progressive accumulation of advanced glycation end-products, and diabetic neuropathy may underlie the development of musculoskeletal disorders. Musculoskeletal complications of diabetics have received less attention than life-threatening microvascular or macrovascular complications. Here, we review several diabetic musculoskeletal complications with a focus on the clinical importance of early recognition and management, which would improve quality of life and physical function.
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Affiliation(s)
- Jong Han Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University School of Medicine, Seoul,
Korea
| | - Hae-Rim Kim
- Division of Rheumatology, Department of Internal Medicine, Konkuk University School of Medicine, Seoul,
Korea
| | - Kee-Ho Song
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University School of Medicine, Seoul,
Korea
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Systematic Review of the Role of Alpha-Protein Kinase 1 in Cancer and Cancer-Related Inflammatory Diseases. Cancers (Basel) 2022; 14:cancers14184390. [PMID: 36139553 PMCID: PMC9497133 DOI: 10.3390/cancers14184390] [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: 08/09/2022] [Revised: 09/06/2022] [Accepted: 09/06/2022] [Indexed: 11/19/2022] Open
Abstract
Simple Summary Aside from the basic phosphorylation function of alpha-kinase 1 (ALPK1), little is known about its major functions. Researchers have used various forms of biotechnology and human, animal, and cellular models to better understand the relationship of ALPK1 with cancer and cancer-related inflammatory diseases. ALPK1 is involved in the progression of breast, lung, colorectal, oral, and skin cancer as well as lymphoblastic leukemia. ALPK1 has also been implicated in gout, diabetes, and chronic kidney disease, which are thought to be associated with breast, lung, colorectal, urinary tract, pancreatic, and endometrial cancers and lymphoblastic leukemia. ALPK1 upregulates inflammatory cytokines and chemokines during carcinogenesis. The major cytokine involved in carcinogenesis is TNF-α, which activates the NF-κB pathway, and similar inflammatory responses exist in gout, diabetes, and chronic kidney disease. ALPK1 regulates downstream inflammatory mechanisms that lead to cancer development through certain pathways and plays a key role in cancer initiation and metastasis. Abstract Background: Deregulation of conventional protein kinases is associated with the growth and development of cancer cells. Alpha-kinase 1 (ALPK1) belongs to a newly discovered family of serine/threonine protein kinases with no sequence homology to conventional protein kinases, and its function in cancer is poorly understood. Methods: In this systematic review, we searched for and analyzed studies linking ALPK1 to cancer development and progression. Results: Based on the current evidence obtained using human, animal, cellular, and tissue models, ALPK1 is located upstream and triggers cancer cell development and metastasis by regulating the inflammatory response through phosphorylation. Its mRNA and protein levels were found to correlate with advanced tumor size and lymph node metastasis, which occur from the cellular cytoplasm into the nucleus. ALPK1 is also strongly associated with gout, chronic kidney disease, and diabetes, which are considered as inflammatory diseases and associated with cancer. Conclusion: ALPK1 is an oncogene involved in carcinogenesis. Chronic inflammation is the common regulatory mechanism between cancer and these diseases. Future research should focus on identifying inhibitors of serine/threonine and ALPK1 at their phosphorylation sites, which would block various signal transductions and potentially offer kinase-targeted therapeutic agents for patients with cancer and inflammatory diseases.
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Botson JK, Tesser JRP, Bennett R, Kenney HM, Peloso PM, Obermeyer K, Song Y, LaMoreaux B, Zhao L, Xin Y, Chamberlain J, Ramanathan S, Weinblatt ME, Peterson J. A multicentre, efficacy and safety study of methotrexate to increase response rates in patients with uncontrolled gout receiving pegloticase (MIRROR): 12-month efficacy, safety, immunogenicity, and pharmacokinetic findings during long-term extension of an open-label study. Arthritis Res Ther 2022; 24:208. [PMID: 36008814 PMCID: PMC9404640 DOI: 10.1186/s13075-022-02865-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/13/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Publications suggest immunomodulation co-therapy improves responder rates in uncontrolled/refractory gout patients undergoing pegloticase treatment. The MIRROR open-label trial showed a 6-month pegloticase + methotrexate co-therapy responder rate of 79%, compared to an established 42% pegloticase monotherapy responder rate. Longer-term efficacy/safety data are presented here. METHODS Uncontrolled gout patients (serum urate [SU] ≥ 6 mg/dL and SU ≥ 6 mg/dL despite urate-lowering therapy [ULT], ULT intolerance, or functionally-limiting tophi) were included. Patients with immunocompromised status, G6PD deficiency, severe kidney disease, or methotrexate contraindication were excluded. Oral methotrexate (15 mg/week) and folic acid (1 mg/day) were administered 4 weeks before and during pegloticase therapy. Twelve-month responder rate (SU < 6 mg/dL for ≥ 80% during month 12), 52-week change from baseline in SU, and extended safety were examined. Efficacy analyses were performed for patients receiving ≥ 1 pegloticase infusion. Pharmacokinetics (PK)/anti-drug antibodies (ADAs) were examined and related to efficacy/safety findings. RESULTS Fourteen patients were included (all male, 49.3 ± 8.7 years, 13.8 ± 7.4-year gout history, pre-therapy SU 9.2 ± 2.5 mg/dL). Three patients were non-responders and discontinued study treatment before 24 weeks, one patient exited the study per protocol at 24 weeks (enrolled prior to treatment extension amendment), and 10 remained in the study through week 52. Of the 10, 8 completed 52 weeks of pegloticase + methotrexate and were 12-month responders. The remaining two discontinued pegloticase + methotrexate at week 24 (met treatment goals) and stayed in the study under observation (allopurinol prescribed at physicians' discretion); one remained a responder at 12 months. At 52 weeks, change from baseline in SU was - 8.2 ± 4.1 mg/dL (SU 1.1 ± 2.4 mg/dL, n = 10). Gout flares were common early in treatment but progressively decreased while on therapy (weeks 1-12, 13/14 [92.9%]; weeks 36-52, 2/8 [25.0%]). One patient recovered from sepsis (serious AE). Two non-responders developed high ADA titers; fewer patients had trough concentrations (Cmin) below the quantitation limit (BQL), and the median Cmin was higher (1.03 µg/mL vs. BQL) than pegloticase monotherapy trials. CONCLUSIONS Pegloticase + methotrexate co-therapy was well-tolerated over 12 months, with sustained SU lowering, progressive gout flare reduction, and no new safety concerns. Antibody/PK findings suggest methotrexate attenuates ADA formation, coincident with higher treatment response rates. TRIAL REGISTRATION ClinicalTrials.gov, NCT03635957 . Registered on 17 August 2018.
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Affiliation(s)
- John K Botson
- Orthopedic Physicians Alaska, 3801 Lake Otis Parkway, Suite 300, Anchorage, AK, 99508, USA.
| | - John R P Tesser
- Arizona Arthritis & Rheumatology Associates, 4550 East Bell Road, Phoenix, AZ, 85032, USA
| | - Ralph Bennett
- Arizona Arthritis & Rheumatology Associates, 4550 East Bell Road, Phoenix, AZ, 85032, USA
| | - Howard M Kenney
- Arthritis Northwest, PLLC, 105 West 8th Avenue, Suite 6080W, Spokane, WA, 99204, USA
| | - Paul M Peloso
- Horizon Therapeutics Plc, 1 Horizon Way, Deerfield, IL, 60015, USA
| | - Katie Obermeyer
- Horizon Therapeutics Plc, 1 Horizon Way, Deerfield, IL, 60015, USA
| | - Yang Song
- Horizon Therapeutics Plc, 2 Tower Place, South San Francisco, CA, 94080, USA
| | - Brian LaMoreaux
- Horizon Therapeutics Plc, 1 Horizon Way, Deerfield, IL, 60015, USA
| | - Lin Zhao
- Horizon Therapeutics Plc, 1 Horizon Way, Deerfield, IL, 60015, USA
| | - Yan Xin
- Horizon Therapeutics Plc, 2 Tower Place, South San Francisco, CA, 94080, USA
| | - Jason Chamberlain
- Horizon Therapeutics Plc, 2 Tower Place, South San Francisco, CA, 94080, USA
| | - Srini Ramanathan
- Horizon Therapeutics Plc, 2 Tower Place, South San Francisco, CA, 94080, USA
| | - Michael E Weinblatt
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Jeff Peterson
- Western Washington Medical Group Arthritis Clinic, 1909 214th Street SE, Suite 211, Bothell, WA, 98021, USA
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10
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Yang D, Zheng Q, Thai PK, Ahmed F, O'Brien JW, Mueller JF, Thomas KV, Tscharke B. A nationwide wastewater-based assessment of metformin consumption across Australia. ENVIRONMENT INTERNATIONAL 2022; 165:107282. [PMID: 35597112 DOI: 10.1016/j.envint.2022.107282] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/10/2022] [Accepted: 05/03/2022] [Indexed: 06/15/2023]
Abstract
Metformin is the most widely used drug to treat type 2 diabetes. Monitoring spatial patterns of metformin use could provide new insights into treatment of type 2 diabetes and the distribution among populations. This study applied a wastewater-based epidemiological (WBE) approach to estimate metformin use in different populations across Australia and compared these estimates with traditional approaches of surveys and prescription data. Twenty-four-hour influent samples were collected from 75 wastewater treatment plants (WWTPs) across Australia in 2016 and analysed for metformin. Metformin was detected in all samples ranging in concentration from 8.2 to 191 µg/L (median 58 µg/L). Concentrations were converted to population-weighted average consumption at the national level, resulting in an average consumption of 28.6 g/day/1000 people across Australia, which was within 7% of estimates from national prescription statistics. In addition, results for five out of seven states had an estimated prevalence of type 2 diabetes within 20% compared to the traditional epidemiology surveys. Spatial patterns were also observed between urban and rural settings, with higher consumption rates of metformin found in Major Cities (22.5 ± 10.9 g/d/1000 people) and Inner Regional cities (25.4 ± 13.4 g/d/1000 people) than in Outer Regional (17.0 ± 8.1 g/d/1000 people) and Remote areas (15.1 ± 7.4 g/d/1000 people). Consumption estimates were also correlated against socioeconomic factors of the specific catchment areas. Greater metformin use was correlated with populations of lower education and income levels, while positive correlations were found between metformin consumption and consumption of allopurinol, caffeine and venlafaxine. Our study provides more evidence on the distribution of metformin use across Australia, which can be used to develop public health strategies to reduce the overall burden of type 2 diabetes in specific regions.
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Affiliation(s)
- Dan Yang
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia; Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing 400030, China
| | - Qiuda Zheng
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia.
| | - Phong K Thai
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Fahad Ahmed
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Jake W O'Brien
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Jochen F Mueller
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Kevin V Thomas
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Ben Tscharke
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
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11
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Fang XY, Qi LW, Chen HF, Gao P, Zhang Q, Leng RX, Fan YG, Li BZ, Pan HF, Ye DQ. The Interaction Between Dietary Fructose and Gut Microbiota in Hyperuricemia and Gout. Front Nutr 2022; 9:890730. [PMID: 35811965 PMCID: PMC9257186 DOI: 10.3389/fnut.2022.890730] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 04/14/2022] [Indexed: 12/12/2022] Open
Abstract
With the worldwide epidemics of hyperuricemia and associated gout, the diseases with purine metabolic disorders have become a serious threat to human public health. Accumulating evidence has shown that they have been linked to increased consumption of fructose in humans, we hereby made a timely review on the roles of fructose intake and the gut microbiota in regulating purine metabolism, together with the potential mechanisms by which excessive fructose intake contributes to hyperuricemia and gout. To this end, we focus on the understanding of the interaction between a fructose-rich diet and the gut microbiota in hyperuricemia and gout to seek for safe, cheap, and side-effect-free clinical interventions. Furthermore, fructose intake recommendations for hyperuricemia and gout patients, as well as the variety of probiotics and prebiotics with uric acid-lowering effects targeting the intestinal tract are also summarized to provide reference and guidance for the further research.
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Affiliation(s)
- Xin-yu Fang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui, Hefei, China
| | - Liang-wei Qi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui, Hefei, China
| | - Hai-feng Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui, Hefei, China
| | - Peng Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui, Hefei, China
| | - Qin Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui, Hefei, China
| | - Rui-xue Leng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui, Hefei, China
| | - Yin-guang Fan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui, Hefei, China
| | - Bao-zhu Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Hai-feng Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui, Hefei, China
| | - Dong-qing Ye
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui, Hefei, China
- *Correspondence: Dong-qing Ye
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12
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Yang X, Xie Y, Wang Y, Yu Y, Jin X, Xiu P, Wu JHY, Yu D, Pan A, Zhao J, Yang CX, Pan XF. Arthritis is associated with an increased risk of incident diabetes in Chinese adults: A nationwide cohort study and updated meta-analysis. Diabetes Metab Res Rev 2022; 38:e3487. [PMID: 34289224 DOI: 10.1002/dmrr.3487] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 04/19/2021] [Accepted: 05/29/2021] [Indexed: 02/05/2023]
Abstract
AIMS To prospectively examine the association between arthritis and type 2 diabetes (T2D) in the Chinese population and confirm this association through a comprehensive meta-analysis of cohort studies. METERIALS AND METHODS Data were from the China Health and Retirement Longitudinal Study which was started in 2011-2013 and followed up in 2013-2014 and 2015-2016. Arthritis was defined as self-reported physician diagnosis at baseline, and incident T2D was determined by self-reported physician diagnosis, fasting blood glucose ≥7.0 mmol/L or glycosylated haemoglobin ≥6.5% during the follow-ups. Cox proportional hazards regression models were used to assess the association between arthritis and risk for T2D. A meta-analysis was conducted to pool our effect estimate and those from other cohort studies using a random-effects model. RESULTS Eleven thousand four hundred and eight participants (47.9% men; mean age: 59.3 years) were included in final analyses. During a 4-year follow-up, 981 participants reported incident T2D. Compared with individuals without arthritis, those with arthritis at baseline had an 18% higher risk for incident T2D (multivariable-adjusted hazard ratio: 1.18; 95% confidence interval: 1.04, 1.34). In the meta-analysis of 13 cohort studies including ours, a total of 2,473,514 participants were included with 121,851 incident diabetes. The pooling HR was 1.32 (95% CI: 1.21, 1.44) for the association between arthritis and diabetes. CONCLUSION Arthritis was associated with an increased risk of incident diabetes in Chinese adults, and the positive association was confirmed in the meta-analysis of cohort studies. Our work can inform clinical trials to assess the effectiveness of arthritis treatments in reducing risk of diabetes.
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Affiliation(s)
- Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yue Xie
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yong Yu
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xingzhong Jin
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Peng Xiu
- Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jason H Y Wu
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jian Zhao
- The Ministry of Education - Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chun-Xia Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiong-Fei Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Yang Y, Xian W, Wu D, Huo Z, Hong S, Li Y, Xiao H. The role of obesity, type 2 diabetes, and metabolic factors in gout: A Mendelian randomization study. Front Endocrinol (Lausanne) 2022; 13:917056. [PMID: 35992130 PMCID: PMC9388832 DOI: 10.3389/fendo.2022.917056] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 07/07/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Several epidemiological studies have reported a possible correlation between risk of gout and metabolic disorders including type 2 diabetes, insulin resistance, obesity, dyslipidemia, and hypertension. However, it is unclear if this association is causal. METHODS We used Mendelian randomization (MR) to evaluate the causal relation between metabolic conditions and gout or serum urate concentration by inverse-variance-weighted (conventional) and weighted median methods. Furthermore, MR-Egger regression and MR-pleiotropy residual sum and outlier (PRESSO) method were used to explore pleiotropy. Genetic instruments for metabolic disorders and outcome (gout and serum urate) were obtained from several genome-wide association studies on individuals of mainly European ancestry. RESULTS Conventional MR analysis showed a robust causal association of increasing obesity measured by body mass index (BMI), high-density lipoprotein cholesterol (HDL), and systolic blood pressure (SBP) with risk of gout. A causal relationship between fasting insulin, BMI, HDL, triglycerides (TG), SBP, alanine aminotransferase (ALT), and serum urate was also observed. These results were consistent in weighted median method and MR-PRESSO after removing outliers identified. Our analysis also indicated that HDL and serum urate as well as gout have a bidirectional causal effect on each other. CONCLUSIONS Our study suggested causal effects between glycemic traits, obesity, dyslipidemia, blood pressure, liver function, and serum urate as well as gout, which implies that metabolic factors contribute to the development of gout via serum urate, as well as potential benefit of sound management of increased serum urate in patients with obesity, dyslipidemia, hypertension, and liver dysfunction.
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Bardin T, Magnat E, Clerson P, Richette P, Rouchon B. Epidemiology of gout and hyperuricemia in New Caledonia. Joint Bone Spine 2021; 89:105286. [PMID: 34601114 DOI: 10.1016/j.jbspin.2021.105286] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 09/23/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVES New Caledonia is a Pacific island of 270,000 inhabitants with mixed ethnicities, including Polynesians (10.2%), people from European ancestry (27.2%), and Melanesians (39.1%),. This study aimed at determining the prevalence of gout and hyperuricemia in the general population and the various ethnicities of New Caledonia. METHODS A 3-degree random sample of the population aged 18 to 60 years was adjusted according to the 2014 New Caledonia census. Face-to-face planned interviews and physical measurements were performed by trained nurses. All consenting participants underwent capillary measurement of creatinine; all consenting men and only women older than 40 years underwent point-of-care uricemia testing. Gout was defined by a validated algorithm. Two definitions of hyperuricemia were used: capillary level equivalent to plasma uric acid level>360μmol/l (6mg/dl) and>420μmol/l (7mg/dl) and/or urate-lowering drug treatment for both thresholds. RESULTS We included 1144 participants (adjusted mean age 37.7±12.0 years; adjusted sex ratio 50.4% men). The adjusted prevalence of gout was 3.3% (95% confidence interval 2.2-4.9). Prevalence was 6.7% (2.5-16.8), 4.1% (1.8-8.9), and 2.6% (1.4-4.7) for Polynesians, Europeans and Melanesians, respectively, and 1.9% (0.5-6.6) for other ethnicities. Prevalence of hyperuricemia, determined in 658 participants, was 67.0% (61.9-71.6) and 37.0% (32.3-42.0) for the 360- and 420-μmol/l thresholds, respectively, and was significantly greater for Polynesians and Melanesians than Europeans for both thresholds. CONCLUSIONS The prevalence of gout and hyperuricemia in New Caledonia was high, including in patients of European descent.
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Affiliation(s)
- Thomas Bardin
- Department of Rheumatology, Lariboisière hospital APHP Paris Nord, and Université de Paris, INSERM U1132, Paris, France.
| | | | | | - Pascal Richette
- Department of Rheumatology, Lariboisière hospital APHP Paris Nord, and Université de Paris, INSERM U1132, Paris, France
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15
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Benavent D, Peiteado D, Martinez-Huedo MÁ, Hernandez-Hurtado M, Balsa A, de Miguel E. Healthcare-related impact of gout in hospitalized patients in Spain. Sci Rep 2021; 11:13287. [PMID: 34168227 PMCID: PMC8225766 DOI: 10.1038/s41598-021-92673-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 06/07/2021] [Indexed: 12/22/2022] Open
Abstract
To analyze the epidemiology, clinical features and costs of hospitalized patients with gout during the last decade in Spain. Retrospective observational study based on data from the Minimum Basic Data Set (MBDS) from the Spanish National Health Service database. Patients ≥ 18 years with any gout diagnosis at discharge who had been admitted to public or private hospitals between 2005 and 2015 were included. Patients were divided in two periods: p1 (2005-2010) and p2 (2011-2015) to compare the number of hospitalizations, mean costs and mortality rates. Data from 192,037 patients with gout was analyzed. There was an increase in the number of hospitalized patients with gout (p < 0.001). The more frequent comorbidities were diabetes (27.6% of patients), kidney disease (26.6%) and heart failure (19.3%). Liver disease (OR 2.61), dementia (OR 2.13), cerebrovascular diseases (OR 1.57), heart failure (OR 1.41), and kidney disease (OR 1.34) were associated with a higher mortality risk. Women had a lower risk of mortality than men (OR 0.85). General mortality rates in these hospitalized patients progressively increased over the years (p < 0.001). In addition, costs gradually rose, presenting a significant increase in p2 even after adjusting for inflation (p = 0.001). A progressive increase in hospitalizations, mortality rates and cost in hospitalized patients with gout was observed. This harmful trend in a preventable illness highlights the need for change and the search for new healthcare strategies.
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Affiliation(s)
- Diego Benavent
- Rheumatology Service, Hospital Universitario La Paz-IdiPaz, Madrid, Spain.
| | - Diana Peiteado
- Rheumatology Service, Hospital Universitario La Paz-IdiPaz, Madrid, Spain
| | | | | | - Alejandro Balsa
- Rheumatology Service, Hospital Universitario La Paz-IdiPaz, Madrid, Spain
| | - Eugenio de Miguel
- Rheumatology Service, Hospital Universitario La Paz-IdiPaz, Madrid, Spain
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16
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Rhyu J, Bhat SP. Skeletal Complications With GNAS Mutation: An Unusual Case With Osteoma Cutis, Gout, and Synovial Chondromatosis in a Patient With Pseudopseudohypoparathyroidism. AACE Clin Case Rep 2021; 7:180-183. [PMID: 34095483 PMCID: PMC8165112 DOI: 10.1016/j.aace.2020.11.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 11/21/2020] [Accepted: 11/30/2020] [Indexed: 11/13/2022] Open
Abstract
Objective We present a patient with pseudopseudohypoparathyroidism (PPHP) who developed both gout and synovial chondromatosis, in addition to the classical Albright's hereditary osteodystrophy phenotype. Methods The patient's clinical course, laboratory data, and imaging are presented. Results The patient is a 40-year-old male with no pertinent family history who presented with findings of Albright's hereditary osteodystrophy, including short stature, obesity, rounded face, shortened fourth and fifth digits, and osteoma cutis (heterotopic subcutaneous ossification), which required surgical removal for pain relief. Genetic testing confirmed a GNAS mutation, and labs showed normal parathyroid hormone, calcium, and phosphorus levels, diagnostic of PPHP. The patient later developed gout and synovial chondromatosis, a rare benign process where the synovial membrane forms calcified loose bodies within the joint. Conclusion The patient case highlights the musculoskeletal complications of PPHP. Though PPHP has been rarely associated separately with gout or synovial chondromatosis, this is the first reported patient to have developed both conditions. This case raises the significance of multidisciplinary follow up for potential orthopedic complications. Moreover, the case underscores the importance of genetics and epigenetics in skeletal health, independent of calcium homeostasis in the blood.
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Affiliation(s)
- Jane Rhyu
- Address correspondence and reprint requests to Dr. Jane Rhyu, Division of Endocrinology, Diabetes, and Metabolism, Department of Internal Medicine, David Geffen School of Medicine at University of California Los Angeles Los Angeles, CA 90095.
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17
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Francis-Sedlak M, LaMoreaux B, Padnick-Silver L, Holt RJ, Bello AE. Characteristics, Comorbidities, and Potential Consequences of Uncontrolled Gout: An Insurance-Claims Database Study. Rheumatol Ther 2020; 8:183-197. [PMID: 33284422 PMCID: PMC7991061 DOI: 10.1007/s40744-020-00260-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 11/16/2020] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Gout is a common, progressive, systemic inflammatory arthritis caused by hyperuricemia. Current guidelines recommend that serum uric acid (sUA) levels be maintained below 6.0 mg/dl to minimize acute gout attacks, tophi development, and long-term joint and organ damage. This study examined the influence of uncontrolled gout on post-diagnosis comorbidities and medication use. METHODS The Humana Research Database (2007-2016, commercial insurance and Medicare) was searched (PearlDiver tool) for patients who had a gout diagnosis code, claims data for at least 6 months before and after diagnosis, and at least 90 days of continuous urate-lowering therapy within 1 year of diagnosis. Patients with controlled (all sUA measurements < 6.0 mg/dl) and uncontrolled (all sUA measurements ≥ 8.0 mg/dl) gout were further examined and compared to better understand the influence of uncontrolled gout on post-diagnosis comorbidities, medication use, and reasons for seeking medical care. RESULTS A total of 5473 and 1358 patients met inclusion and classification criteria for the controlled and uncontrolled groups, respectively. Identified comorbidities in both groups included hypertension, hyperlipidemia, diabetes, cardiovascular disease, and chronic kidney disease (CKD). However, the uncontrolled group was more likely to have diabetes, CKD, and cardiovascular disease (including heart failure and atrial fibrillation). Additionally, CKD tended to be more advanced in the uncontrolled gout population (Stage 4-5: 34.6 vs. 22.2%). Overall opioid use was higher in uncontrolled patients. CONCLUSIONS The current study identified differences between controlled and uncontrolled gout patients, including usage of medication, severity of CKD, and prevalence of CKD, diabetes, and heart disease.
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Affiliation(s)
| | - Brian LaMoreaux
- Horizon Therapeutics plc, 150 South Saunders Road, Lake Forest, IL, 60045, USA
| | | | - Robert J Holt
- Horizon Therapeutics plc, 150 South Saunders Road, Lake Forest, IL, 60045, USA
| | - Alfonso E Bello
- Illinois Bone and Joint Institute, 2401 Ravine Way, Glenview, IL, 60025, USA
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Tung YC, Lee MY, Wang YC, Chang CJ, Tsai WC, Lin GT, Li CY, Lee SS, Tu HP. Effect modification of hyperlipidemia and hypertension on the association between type 2 diabetes and gout. Prim Care Diabetes 2020; 14:654-662. [PMID: 32593565 DOI: 10.1016/j.pcd.2020.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 05/31/2020] [Accepted: 06/07/2020] [Indexed: 11/19/2022]
Abstract
AIMS We evaluated the association between type 2 diabetes and gout by a retrospective cohort study. METHODS Data of 17,259 male and 18,318 female patients with type 2 diabetes were retrieved for the 1998-2010 period. These patients were matched to a comparison group (n=34,518 and n=36,636, respectively) in a 1:2 ratio by age and region. RESULTS We found that patients with type 2 diabetes after adjustment for hyperlipidemia and hypertension had a lower risk of incident gout than the matched population (incidence rate ratio, men: 0.39 [95% CI: 0.36-0.42]; women: 0.78 [0.72-0.84]). Specifically, type 2 diabetes alone without hyperlipidemia and hypertension was associated with a reduced risk of incident gout in men (adjusted relative risk [RR]: 0.29, 95% CI: 0.22-0.39), but not in women (0.86, 95% CI: 0.55-1.36). We found that insulin users with hyperlipidemia and hypertension associated with risk of incident gout and no sex-specific differences were noted (adjusted RR, men: 1.28 [95% CI: 1.11-1.48]; women: 1.32 [95% CI: 1.14-1.53]). Specifically, insulin users alone without hyperlipidemia and hypertension were not statistically significantly associated with gout risk (P≥.0954). CONCLUSIONS The results of this study indicated that hyperlipidemia and hypertension modified the association between type 2 diabetes and gout.
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Affiliation(s)
- Yi-Ching Tung
- Department of Public Health and Environmental Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Mei-Yueh Lee
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Department of Internal Medicine, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yi-Chi Wang
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Family Medicine, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung, Taiwan
| | - Chai-Jan Chang
- Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wen-Chan Tsai
- Division of Rheumatology, Departments of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Gau-Tyan Lin
- Department of Orthopedic Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chia-Yang Li
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Su-Shin Lee
- Department of Orthopedic Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Division of Plastic Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Department of Surgery, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hung-Pin Tu
- Department of Public Health and Environmental Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
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Botson JK, Tesser JRP, Bennett R, Kenney HM, Peloso PM, Obermeyer K, LaMoreaux B, Weinblatt ME, Peterson J. Pegloticase in Combination With Methotrexate in Patients With Uncontrolled Gout: A Multicenter, Open-label Study (MIRROR). J Rheumatol 2020; 48:767-774. [PMID: 32934137 DOI: 10.3899/jrheum.200460] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/11/2020] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To examine the efficacy and safety of pegloticase in combination with methotrexate (MTX) in patients with uncontrolled gout in an exploratory, open-label clinical trial (ClinicalTrials.gov: NCT03635957) prior to a randomized, controlled trial. METHODS A multicenter, open-label efficacy and safety study of pegloticase with MTX co-treatment was conducted in patients with uncontrolled gout. Patients were administered oral MTX (15 mg/week) and folic acid (1 mg/day) 4 weeks prior to and throughout pegloticase treatment. The primary study outcome was the proportion of responders, defined as serum uric acid (sUA) < 6 mg/dL for ≥ 80% of the time during Month 6 (Weeks 20, 22, and 24). All analyses were performed on a modified intent-to-treat population, defined as patients who received ≥ 1 pegloticase infusion. RESULTS Seventeen patients were screened and 14 patients (all men, average age 49.3 ± 8.7 years) were enrolled. On Day 1, mean sUA was 9.2 ± 2.5 mg/dL, and 12 of the 14 patients had visible tophi. At the 6-month timepoint, 11/14 (78.6%, 95% CI 49.2-95.3%) met the responder definition, with 3 patients discontinuing after meeting protocol-defined treatment discontinuation rules (preinfusion sUA values > 6 mg/dL at 2 consecutive scheduled visits). All patients tolerated MTX. No new safety concerns were identified. CONCLUSION In this study, an increased proportion of patients maintained therapeutic response at 6 months when treated concomitantly with MTX and pegloticase as compared to the previously reported 42% using pegloticase alone. These results support the need for a randomized study of MTX or placebo with pegloticase to validate these open-label findings.
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Affiliation(s)
- John K Botson
- J.K. Botson, MD, RPh, Orthopedic Physicians Alaska, Anchorage, Alaska;
| | - John R P Tesser
- J.R. Tesser, MD, R. Bennett, MD, Arizona Arthritis & Rheumatology Associates, P.C., Phoenix, Arizona
| | - Ralph Bennett
- J.R. Tesser, MD, R. Bennett, MD, Arizona Arthritis & Rheumatology Associates, P.C., Phoenix, Arizona
| | - Howard M Kenney
- H.M. Kenney, MD, Arthritis Northwest, PLLC, Spokane, Washington
| | - Paul M Peloso
- P.M. Peloso, MD, MSc, K. Obermeyer, MS, B. LaMoreaux, MD, MS, Horizon Therapeutics, Lake Forest, Illinois
| | - Katie Obermeyer
- P.M. Peloso, MD, MSc, K. Obermeyer, MS, B. LaMoreaux, MD, MS, Horizon Therapeutics, Lake Forest, Illinois
| | - Brian LaMoreaux
- P.M. Peloso, MD, MSc, K. Obermeyer, MS, B. LaMoreaux, MD, MS, Horizon Therapeutics, Lake Forest, Illinois
| | | | - Jeff Peterson
- J. Peterson, MD, Western Washington Arthritis Clinic, Bothell, Washington, USA
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Slobodnick A, Toprover M, Greenberg J, Crittenden DB, Pike VC, Qian Y, Zhong H, Pillinger MH. Allopurinol use and type 2 diabetes incidence among patients with gout: A VA retrospective cohort study. Medicine (Baltimore) 2020; 99:e21675. [PMID: 32871882 PMCID: PMC7458166 DOI: 10.1097/md.0000000000021675] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
To assess the impact of allopurinol on diabetes in a retrospective cohort of Veterans' Affairs patients with gout.The New York Harbor VA computerized patient record system was searched to identify patients with an ICD-9 code for gout meeting at least 4 modified 1977 American Rheumatology Association gout diagnostic criteria. Patients were divided into subgroups based on >30 continuous days of allopurinol, versus no allopurinol. New diagnoses of diabetes, defined according to American Diabetes Association diagnostic criteria or clinical documentation explicitly stating a new diagnosis of diabetes, were identified during an observation period from January 1, 2000 through December 31, 2015.Six hundred six gout patients used allopurinol >30 continuous days, and 478 patients never used allopurinol. Over an average 7.9 ± 4.8 years of follow-up, there was no significant difference in diabetes incidence between the allopurinol and non-allopurinol groups (11.7/1000 person-years vs 10.0/1000 person-years, P = .27). A lower diabetes incidence in the longest versus shortest quartiles of allopurinol use (6.3 per 1000 person-years vs 19.4 per 1000 person-years, P<.0001) was attributable to longer duration of medical follow-up.In this study, allopurinol use was not associated with decreased diabetes incidence. Prospective studies may further elucidate the relationship between hyperuricemia, gout, xanthine oxidase activity, and diabetes, and the potential impact of gout treatments on diabetes incidence.
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Affiliation(s)
- Anastasia Slobodnick
- Rheumatology Section, Department of Medicine, VA NY Harbor Health Care System, NY Campus
- Division of Rheumatology, Department of Medicine, NYU School of Medicine/NYU Langone Health
| | - Michael Toprover
- Rheumatology Section, Department of Medicine, VA NY Harbor Health Care System, NY Campus
- Division of Rheumatology, Department of Medicine, NYU School of Medicine/NYU Langone Health
| | - Jeffrey Greenberg
- Division of Rheumatology, Department of Medicine, NYU School of Medicine/NYU Langone Health
| | - Daria B. Crittenden
- Division of Rheumatology, Department of Medicine, NYU School of Medicine/NYU Langone Health
| | - Virginia C. Pike
- Rheumatology Section, Department of Medicine, VA NY Harbor Health Care System, NY Campus
- Division of Rheumatology, Department of Medicine, NYU School of Medicine/NYU Langone Health
| | - Yingzhi Qian
- Division of Biostatistics, Department of Population Health, NYU Langone Health, NY, USA
| | - Hua Zhong
- Division of Biostatistics, Department of Population Health, NYU Langone Health, NY, USA
| | - Michael H. Pillinger
- Rheumatology Section, Department of Medicine, VA NY Harbor Health Care System, NY Campus
- Division of Rheumatology, Department of Medicine, NYU School of Medicine/NYU Langone Health
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21
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Zulyniak M, Fuller H, Iles M. Investigation of the Causal Association between Long-Chain n-6 Polyunsaturated Fatty Acid Synthesis and the Risk of Type 2 Diabetes: A Mendelian Randomization Analysis. Lifestyle Genom 2020; 13:146-153. [DOI: 10.1159/000509663] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 06/18/2020] [Indexed: 11/19/2022] Open
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Li X, Li L, Xing Y, Cheng T, Ren S, Ma H. Diabetes Mellitus Is Associated with a Lower Risk of Gout: A Meta-Analysis of Observational Studies. J Diabetes Res 2020; 2020:5470739. [PMID: 32733967 PMCID: PMC7369651 DOI: 10.1155/2020/5470739] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 06/22/2020] [Accepted: 06/23/2020] [Indexed: 12/15/2022] Open
Abstract
AIMS Although several epidemiological studies have investigated the relationship between diabetes mellitus (DM) and the risk of gout, the results are inconsistent. Therefore, we systematically retrospected available observational studies to clarify the impact of DM on the risk of gout. METHODS Embase, PubMed, Cochrane Library, Scopus, Web of Science, and China National Knowledge Infrastructure were searched for relevant articles from inception to 2 March 2020. The quality of the included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. The multivariate adjusted relative risks (aRR) and corresponding 95% confidence intervals (CI) were pooled based on a random-effect model. Cochran's Q test and I 2 were used to evaluate heterogeneity. RESULTS Five studies involving 863,755 participants were included in our meta-analysis. DM was associated with a lower risk of gout (aRR: 0.66; 95% CI: 0.59 to 0.73) but had a high heterogeneity (I 2 = 89.2%). Metaregression analysis revealed that the types of DM were the source of heterogeneity. Subgroup analysis by types of DM showed that the risk of gout was significantly lower in type 1 DM (T1DM) (aRR: 0.42; 95% CI: 0.28 to 0.63) than in type 2 DM (T2DM) (aRR: 0.72; 95% CI: 0.70 to 0.74). Furthermore, when stratified according to gender in DM, sex-specific association was found. The inverse association was observed in males only (aRR: 0.57; 95% CI: 0.43 to 0.77) and not in females (aRR: 0.96; 95% CI: 0.87 to 1.05). Further stratified based on glycated hemoglobin (HbA1c) levels in DM, raised A1C levels were associated with a reduced risk of gout in patients with DM. CONCLUSIONS This meta-analysis indicated that DM was related to a lower risk of gout, and the protective effect of DM on the risk of gout was stronger in males, T1DM, or DM with high HbA1c levels. However, more prospective cohort studies are required to confirm these results.
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Affiliation(s)
- Xiaoli Li
- Department of Rheumatology, Xingtai People's Hospital Affiliated to Hebei Medical University, Xingtai 054001, China
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang 050017, China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang 050051, China
| | - Lianju Li
- Department of Rheumatology, Xingtai People's Hospital Affiliated to Hebei Medical University, Xingtai 054001, China
| | - Yuling Xing
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang 050017, China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang 050051, China
| | - Tiantian Cheng
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang 050051, China
| | - Shaohui Ren
- Department of Medicine, Xingtai People's Hospital Affiliated to Hebei Medical University, Xingtai 054001, China
| | - Huijuan Ma
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang 050017, China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang 050051, China
- Hebei Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang 050051, China
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Chua CKT, Cheung PP, Santosa A, Lim AYN, Teng GG. Burden and management of gout in a multi-ethnic Asian cohort. Rheumatol Int 2019; 40:1029-1035. [DOI: 10.1007/s00296-019-04475-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Accepted: 11/03/2019] [Indexed: 10/25/2022]
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Cho J, Dalbeth N, Petrov MS. Relationship between Gout and Diabetes Mellitus after Acute Pancreatitis: A Nationwide Cohort Study. J Rheumatol 2019; 47:917-923. [PMID: 31615915 DOI: 10.3899/jrheum.190487] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/24/2019] [Indexed: 12/25/2022]
Abstract
OBJECTIVE After acute pancreatitis, individuals often have low-grade inflammation, and subsequently develop metabolic sequelae such as post-pancreatitis diabetes mellitus (PPDM). Although numerous studies have investigated the relationship between gout and type 2 diabetes, little is known about the relationship between gout and PPDM. The aim was to investigate the associations between gout and PPDM. METHODS Using nationwide pharmaceutical dispensing data linked to hospital discharge data in New Zealand, gout and PPDM were identified among individuals after first episode of acute pancreatitis between January 1, 2007, and December 31, 2015. Multivariable Cox regression analyses were conducted, adjusting for age, sex, ethnicity, social deprivation index, alcohol consumption, tobacco smoking, comorbidities, medications (glucocorticoids, statins, and estrogens), and characteristics of acute pancreatitis. RESULTS A total of 10,117 individuals were included in the analysis of risk for gout and 9471 in the analysis of risk for PPDM. PPDM was significantly associated with a higher risk of gout in the overall cohort (adjusted HR 1.88, 95% CI 1.15-3.06) and women (2.72, 95% CI 1.31-5.65), but not in men (1.42, 95% CI 0.73-2.78). Preexisting gout was significantly associated with a higher risk of PPDM in the overall cohort (adjusted HR 1.58, 95% CI 1.04-2.41) and women (2.66, 95% CI 1.29-5.49), but not in men (1.31, 95% CI 0.78-2.20). CONCLUSION The relationship between gout and PPDM is bidirectional in the post-pancreatitis setting. A history of gout is a risk factor of PPDM, particularly in women.
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Affiliation(s)
- Jaelim Cho
- From the School of Medicine, University of Auckland, Auckland, New Zealand.,J. Cho, MD, MPH, School of Medicine, University of Auckland; N. Dalbeth, MBChB, MD, School of Medicine, University of Auckland; M.S. Petrov, MD, MPH, PhD, School of Medicine, University of Auckland
| | - Nicola Dalbeth
- From the School of Medicine, University of Auckland, Auckland, New Zealand.,J. Cho, MD, MPH, School of Medicine, University of Auckland; N. Dalbeth, MBChB, MD, School of Medicine, University of Auckland; M.S. Petrov, MD, MPH, PhD, School of Medicine, University of Auckland
| | - Maxim S Petrov
- From the School of Medicine, University of Auckland, Auckland, New Zealand. .,J. Cho, MD, MPH, School of Medicine, University of Auckland; N. Dalbeth, MBChB, MD, School of Medicine, University of Auckland; M.S. Petrov, MD, MPH, PhD, School of Medicine, University of Auckland.
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25
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San Gabriel DED, Slark J. The association of gout with an increased risk of hypertension and diabetes mellitus among stroke survivors in New Zealand: A cross-sectional study using routinely collected electronic health data. JRSM Cardiovasc Dis 2019; 8:2048004019863239. [PMID: 31367348 PMCID: PMC6643175 DOI: 10.1177/2048004019863239] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 06/21/2019] [Accepted: 06/21/2019] [Indexed: 01/31/2023] Open
Abstract
Background There is a paucity of data relating to the association of gout with the
occurrence of hypertension and diabetes mellitus in patients with stroke.
This study aimed to determine the association of gout with the risk of
hypertension and diabetes mellitus in a cohort of stroke patients from
Auckland, Aotearoa New Zealand. Methods A cross-sectional study was conducted among stroke survivors in South and
East Auckland, New Zealand from the years 2010 to 2014. Electronic health
record data were collected and analysed using Statistical Package for Social
Science version 23. Multivariate logistic regression modelling adjusted for
age, gender, and ethnicity was conducted to determine the association of
gout with the risk of hypertension and diabetes mellitus in patients
discharged with a diagnosis of stroke. Results The age-, gender-, and ethnicity-adjusted odds ratio for having hypertension
and diabetes mellitus among stroke survivors with gout history were 3.25
(95% confidence interval 1.32–8.03) and 1.94 (95% confidence interval
1.12–3.36), respectively. Māori stroke survivors with gout history had the
highest risk of having diabetes mellitus with age- and gender-adjusted odds
ratio of 5.10 (95% confidence interval 1.90–18.93). Conclusion The findings from this study suggest gout may be independently associated
with an increased risk of hypertension and diabetes mellitus in patients
with stroke. Māori who are the indigenous population of New Zealand show a
greater risk of diabetes mellitus associated with a gout diagnosis compared
to other populations. This finding highlights the importance of the need for
further research with Māori stroke survivors and other indigenous
populations.
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Affiliation(s)
| | - Julia Slark
- School of Nursing, The University of Auckland, Auckland, Aotearoa New Zealand
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Evans PL, Prior JA, Belcher J, Hay CA, Mallen CD, Roddy E. Gender-specific risk factors for gout: a systematic review of cohort studies. Adv Rheumatol 2019; 59:24. [PMID: 31234907 DOI: 10.1186/s42358-019-0067-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 06/07/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Though gout is more prevalent in men than women, it remains unclear whether gender influences risk factors for incident gout. We aimed to systematically review all cohort studies examining risk factors for the development of gout by gender. METHODS MEDLINE, EMBASE, CINAHL and the Cochrane Library were searched from inception to March 2019. Risk factors for gout examined were: age, ethnicity, consumption of alcohol, meat, seafood, dairy products, purine-rich vegetables, coffee and fructose, vitamin C intake, the Dietary Approaches to Stop Hypertension (DASH) diet, metabolic syndrome, BMI, waist and chest circumference, waist-to-hip ratio, weight change, diabetes mellitus, dyslipidaemias, renal disease, psoriasis, hypertension, diuretic use and anti-diabetic medication. Cohort studies were included if examining (at least) one of these risk factors for gout in either gender in the general population or primary care. Sample characteristics from included articles and their reported risk estimates were described using narrative synthesis. RESULTS Thirty-three articles were included, 20 (60.6%)directly compared risk factors by gender, 10 (30.3%) used men-only samples, 3 (9.1%) used women-only samples. Articles comparing risk across genders found similar increases in most risk factors. However, in men, metabolic syndrome (Hazard Ratio (95% CI) 1.37(1.20-1.58)) presented a risk of incident gout compared to none in women (> 50 years 1.15(0.85-1.54); ≤50 years 1.29(0.76-2.17)). Compared to men, women showed greater associated risk with higher consumption of fish and shellfish (HR (95% CI) Men: 1.02 (0.86-1.22); Women 1.36 (1.12-1.65)). CONCLUSIONS Risk factors for developing gout did not typically differ between genders and therefore similar preventative advice can be provided. Exceptions were metabolic syndrome in men and excessive seafood consumption in women, but these singular articles need further examination and in general more research into the risk factors for gout which includes women is required.
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Affiliation(s)
- Peter L Evans
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, ST5 5BG, UK
| | - James A Prior
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, ST5 5BG, UK.
| | - John Belcher
- Research and Innovation, Wythenshawe Hospital, Manchester University Foundation Hospital Trust, Wythenshawe, UK
| | - Charles A Hay
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, ST5 5BG, UK
| | - Christian D Mallen
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, ST5 5BG, UK
| | - Edward Roddy
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, ST5 5BG, UK
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Cardiovascular Risk in Type 2 Diabetic Patients With Asymptomatic Hyperuricemia and Gout. ACTA MEDICA BULGARICA 2019. [DOI: 10.2478/amb-2019-0012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Abstract
Aim: To study the differences in cardiovascular risk between type 2 diabetic and non-diabetic patients with asymptomatic hyperuricemia and gout using the Framingham Risk Score (FRS) and complex multimodal ultrasonography.
Patients and methods: A total of 201 patients participated, divided into two groups: 1/ patients with asymptomatic hyperuricemia (n = 52), and 2/ patients with gout (n = 149). FRS was determined as well as ultrasound parameters, independent predictors of cardiovascular risk: left atrial size (LA), intima-media thickness (IMT) and common carotid artery resistive index (CCARI).
Results: The patients in the two groups were age-matched and conventional cardiovascular risk factors were equally distributed. In the asymptomatic hyperuricemia group, 12 patients (23.1%) had diabetes. In this group, there was no difference in FRS between diabetic and non-diabetic individuals. However, diabetic patients had larger LA, thicker intima-media and higher CCARI. In the gout group 18 subjects (12%) had diabetes, but the FRS, LA, IMT and CCARI values were similar among diabetic and non-diabetic patients. Furthermore, when gout subjects were subdivided according to the presence of tophi, we found that the subgroup having gouty tophi and diabetes had larger LA (p = 0.014) compared to those with gouty tophi without diabetes.
Conclusion: In diabetic patients with asymptomatic hyperuricemia and gouty tophi, a more complex approach for estimation of cardiovascular risk is needed. Our work suggests that diabetes and tophi might potentiate their action on the cardiovascular system.
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Eliseev MS, Novikova AM. [Comorbidity in gout and hyperuricemia: prevalence, causes, prospects of urate lowering therapy]. TERAPEVT ARKH 2019; 91:120-128. [PMID: 32598686 DOI: 10.26442/00403660.2019.05.000232] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Indexed: 02/07/2023]
Abstract
Nowadays, there is increased interest in the connection of gout and asymptomatic hyperuricemia with comorbid conditions such as diabetes mellitus, cardiovascular diseases, hypertension, chronic kidney disease and other. Studies conducted over the past few decades suggest that not only gout, but also asymptomatic hyperuricemia can significantly worsen the prognosis in patients with cardiovascular diseases, as the deposition of urate crystals can be both an immediate cause and a factor in the progression of renal failure. In that way, the timely appointment of urate - lowering therapy and achieving the target serum uric acid level can not only affect joint damage, but also can significantly slow the progression of life - threatening comorbid conditions.
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Affiliation(s)
- M S Eliseev
- V.A. Nasonova Scientific and Research Institute of Reumatology
| | - A M Novikova
- V.A. Nasonova Scientific and Research Institute of Reumatology
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Haque T, Rahman S, Islam S, Molla NH, Ali N. Assessment of the relationship between serum uric acid and glucose levels in healthy, prediabetic and diabetic individuals. Diabetol Metab Syndr 2019; 11:49. [PMID: 31285758 PMCID: PMC6588943 DOI: 10.1186/s13098-019-0446-6] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Accepted: 06/18/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND In epidemiological studies, serum uric acid (SUA) has been shown to be associated with hypertension and cardiovascular disorders. However, limited studies have evaluated the relationship between SUA and glucose levels in healthy and diabetic individuals and their observed findings are inconsistent. This study aimed to examine the relationship between SUA and fasting blood glucose (FBG) levels among healthy, prediabetic and diabetic individuals in Bangladesh. METHODS In total, 310 blood samples were collected from 215 male and 95 female subjects and analyzed for FBG, SUA, and lipid levels. All participants were categorized into four quartiles based on SUA concentrations. Diabetes and prediabetes were defined as FBG level ≥ 126 mg/dL and 100-125 mg/dL, respectively. The association between SUA and diabetes was evaluated by multinomial logistic regression analysis. RESULTS The prediabetic and diabetic individuals had a lower mean level of SUA (338.2 ± 101.6 and 290.9 ± 98.2 µmol/L, respectively) compared to healthy (369.5 ± 110.9 µmol/L) individuals (p < 0.001). SUA was positively associated with BMI, TG and TC but negatively associated with FBG. The prevalence of diabetes was decreased with increasing concentration of SUA across the quartiles. In regression analysis, SUA levels were inversely associated with diabetes mellitus. CONCLUSIONS SUA levels were high in healthy individuals but declined in prediabetic and diabetic individuals with increasing FBG concentrations. A significant inverse association was observed between the levels of SUA and diabetes in Bangladeshi adults. Further studies are needed to examine the reliability of using SUA to predict diabetes.
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Affiliation(s)
- Tangigul Haque
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114 Bangladesh
| | - Sadaqur Rahman
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114 Bangladesh
| | - Shiful Islam
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114 Bangladesh
| | - Noyan Hossain Molla
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114 Bangladesh
| | - Nurshad Ali
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114 Bangladesh
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Han T, Meng X, Shan R, Zi T, Li Y, Ma H, Zhao Y, Shi D, Qu R, Guo X, Liu L, Na L, Li Y, Sun C. Temporal relationship between hyperuricemia and obesity, and its association with future risk of type 2 diabetes. Int J Obes (Lond) 2018; 42:1336-1344. [PMID: 29717279 DOI: 10.1038/s41366-018-0074-5] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Revised: 02/06/2018] [Accepted: 02/15/2018] [Indexed: 01/11/2023]
Abstract
BACKGROUND/OBJECTIVES Although hyperuricemia and obesity are significantly correlated, their temporal relationship and whether this relationship is associated with future risk of diabetes are largely unknown. This study examined temporal relationship between hyperuricemia and obesity, and its association with future risk of type 2 diabetes. SUBJECTS/METHODS This study examined two longitudinal cohorts totally including 17,044 subjects from China with an average of 6.0 years follow-up. Measurements of body mass index (BMI), waist circumference (WC), percentage of body fat and fasting serum uric acid were obtained at two time points. Cross-lagged panel and mediation analysis were used to examine the temporal relationship between hyperuricemia and obesity, and the association of this temporal relationship with follow-up diabetes. RESULTS In combined data of the two cohorts, the cross-lagged path coefficient (β1 = 0.121; 95% confidence interval (CI): 0.108-0.135) from baseline uric acid to the follow-up BMI was significantly greater than the path coefficient (β2 = 0.055, 95% CI: 0.038-0.072) from baseline BMI to the follow-up uric acid (P = 8.14e-10 for the difference between β1 and β2) with adjustment for covariates. The separate cross-lagged path models of uric acid with WC and percentage of body fat showed temporal patterns similar to that noted for uric acid with BMI. Further, the path coefficient (β1) from baseline uric acid to follow-up BMI in the group with diabetes was significantly greater than without diabetes (P = 0.003 for the difference of β1s in the two groups). BMI partially mediated the association of uric acid with risk of diabetes, and the percentage of mediated-association was estimated at 20.3% (95% CI: 15.7-24.8%). Results of these analyses in the combined data were consistent with those in the two cohorts, respectively. CONCLUSIONS These findings indicated that increased uric acid levels probably associated with obesity and type 2 diabetes, and more definite research is needed to define any role for uric acid in relation to these diseases.
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Affiliation(s)
- Tianshu Han
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Xing Meng
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Ruiqi Shan
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Tianqi Zi
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Yingmei Li
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Hao Ma
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Yanhe Zhao
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Dan Shi
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Rongge Qu
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Xiaoyu Guo
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Lei Liu
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Lixin Na
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China.
| | - Ying Li
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China.
| | - Changhao Sun
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China.
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Bardin T, Richette P. Impact of comorbidities on gout and hyperuricaemia: an update on prevalence and treatment options. BMC Med 2017; 15:123. [PMID: 28669352 PMCID: PMC5494879 DOI: 10.1186/s12916-017-0890-9] [Citation(s) in RCA: 203] [Impact Index Per Article: 25.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 06/12/2017] [Indexed: 02/07/2023] Open
Abstract
Gout, the most prevalent inflammatory arthritis worldwide, is associated with cardiovascular and renal diseases, and is an independent predictor of premature death. The frequencies of obesity, chronic kidney disease (CKD), hypertension, type 2 diabetes, dyslipidaemias, cardiac diseases (including coronary heart disease, heart failure and atrial fibrillation), stroke and peripheral arterial disease have been repeatedly shown to be increased in gout. Therefore, the screening and care of these comorbidities as well as of cardiovascular risk factors are of outmost importance in patients with gout. Comorbidities, especially CKD, and drugs prescribed for their treatment, also impact gout management. Numerous epidemiological studies have shown the association of asymptomatic hyperuricaemia with the above-mentioned diseases and cardiovascular risk factors. Animal studies have also produced a mechanistic approach to the vascular toxicity of soluble urate. However, causality remains uncertain because confounders, reverse causality or common etiological factors might explain the epidemiological results. Additionally, these uncertainties remain unsolved despite recent studies using Mendelian randomisation or therapeutic approaches. Thus, large randomised placebo-controlled trials are still needed to assess the benefits of treating asymptomatic hyperuricaemia.
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Affiliation(s)
- Thomas Bardin
- Université Paris Diderot, UFR médicale, Paris, France. .,Assistance Publique-Hôpitaux de Paris, Hôpital Lariboisière, Service de Rhumatologie, Paris, Cedex, France. .,INSERM 1132, Université Paris-Diderot, Hôpital Lariboisière, Paris, France. .,French-Vietnamese Research Center on Gout, Ho Chi Minh City, Vietnam.
| | - Pascal Richette
- Université Paris Diderot, UFR médicale, Paris, France.,Assistance Publique-Hôpitaux de Paris, Hôpital Lariboisière, Service de Rhumatologie, Paris, Cedex, France.,INSERM 1132, Université Paris-Diderot, Hôpital Lariboisière, Paris, France
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Association between bilirubin and risk of Non-Alcoholic Fatty Liver Disease based on a prospective cohort study. Sci Rep 2016; 6:31006. [PMID: 27484402 PMCID: PMC4975069 DOI: 10.1038/srep31006] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Accepted: 07/11/2016] [Indexed: 12/14/2022] Open
Abstract
The study aimed to assess the association between total, direct, and indirect bilirubin and nonalcoholic fatty live disease (NAFLD) risk given its high prevalence and serious clinical prognosis. Among 27,009 subjects who participated in a healthy screening program from the Dongfeng-Tongji cohort study in 2008, 8189 eligible subjects (aged 35-86 years; males, 43.95%) were ultimately enrolled. The incidence rates of NAFLD in 2013 were compared with respect to baseline bilirubin levels among subjects free of NAFLD, and the effect sizes were estimated by logistic regression analysis. During 5 years follow-up, we observed 1956 cases of newly developed NAFLD with the overall incidence of 23.88%. Direct bilirubin was presented to inversely associate with NAFLD risk. Compared with quartile 1 of direct bilirubin, the multivariable-adjusted ORs (95% CIs) for NAFLD of quartile 2 to 4 were 1.104 (0.867-1.187), 0.843 (0.719-0.989), and 0.768 (0.652-0.905), respectively, P for trend 0.002). Similarly, inverse effects of direct bilirubin on NAFLD incidence were also observed when stratified by sex and BMI. However, no significant associations were found between total, and indirect bilirubin and NAFLD risk. Direct bilirubin reduced NAFLD risk independent of possible confounders among middle-aged and elderly Chinese population, probably based on the endogenous antioxidation of bilirubin.
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