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Du L, Zong Y, Li H, Wang Q, Xie L, Yang B, Pang Y, Zhang C, Zhong Z, Gao J. Hyperuricemia and its related diseases: mechanisms and advances in therapy. Signal Transduct Target Ther 2024; 9:212. [PMID: 39191722 DOI: 10.1038/s41392-024-01916-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 06/08/2024] [Accepted: 06/27/2024] [Indexed: 08/29/2024] Open
Abstract
Hyperuricemia, characterized by elevated levels of serum uric acid (SUA), is linked to a spectrum of commodities such as gout, cardiovascular diseases, renal disorders, metabolic syndrome, and diabetes, etc. Significantly impairing the quality of life for those affected, the prevalence of hyperuricemia is an upward trend globally, especially in most developed countries. UA possesses a multifaceted role, such as antioxidant, pro-oxidative, pro-inflammatory, nitric oxide modulating, anti-aging, and immune effects, which are significant in both physiological and pathological contexts. The equilibrium of circulating urate levels hinges on the interplay between production and excretion, a delicate balance orchestrated by urate transporter functions across various epithelial tissues and cell types. While existing research has identified hyperuricemia involvement in numerous biological processes and signaling pathways, the precise mechanisms connecting elevated UA levels to disease etiology remain to be fully elucidated. In addition, the influence of genetic susceptibilities and environmental determinants on hyperuricemia calls for a detailed and nuanced examination. This review compiles data from global epidemiological studies and clinical practices, exploring the physiological processes and the genetic foundations of urate transporters in depth. Furthermore, we uncover the complex mechanisms by which the UA induced inflammation influences metabolic processes in individuals with hyperuricemia and the association with its relative disease, offering a foundation for innovative therapeutic approaches and advanced pharmacological strategies.
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Grants
- 82002339, 81820108020 National Natural Science Foundation of China (National Science Foundation of China)
- 82002339, 81820108020 National Natural Science Foundation of China (National Science Foundation of China)
- 82002339, 81820108020 National Natural Science Foundation of China (National Science Foundation of China)
- 82002339, 81820108020 National Natural Science Foundation of China (National Science Foundation of China)
- 82002339, 81820108020 National Natural Science Foundation of China (National Science Foundation of China)
- 82002339, 81820108020 National Natural Science Foundation of China (National Science Foundation of China)
- 82002339, 81820108020 National Natural Science Foundation of China (National Science Foundation of China)
- 82002339, 81820108020 National Natural Science Foundation of China (National Science Foundation of China)
- 82002339, 81820108020 National Natural Science Foundation of China (National Science Foundation of China)
- 82002339, 81820108020 National Natural Science Foundation of China (National Science Foundation of China)
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Affiliation(s)
- Lin Du
- Sports Medicine Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
- Institute of Sports Medicine, Shantou University Medical College, Shantou, 515041, China
| | - Yao Zong
- Centre for Orthopaedic Research, Medical School, The University of Western Australia, Nedlands, WA, 6009, Australia
| | - Haorui Li
- Sports Medicine Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
- Institute of Sports Medicine, Shantou University Medical College, Shantou, 515041, China
| | - Qiyue Wang
- Sports Medicine Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
- Institute of Sports Medicine, Shantou University Medical College, Shantou, 515041, China
| | - Lei Xie
- Sports Medicine Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
- Institute of Sports Medicine, Shantou University Medical College, Shantou, 515041, China
| | - Bo Yang
- Sports Medicine Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
- Institute of Sports Medicine, Shantou University Medical College, Shantou, 515041, China
| | - Yidan Pang
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Changqing Zhang
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
| | - Zhigang Zhong
- Sports Medicine Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
- Institute of Sports Medicine, Shantou University Medical College, Shantou, 515041, China.
| | - Junjie Gao
- Sports Medicine Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
- Institute of Sports Medicine, Shantou University Medical College, Shantou, 515041, China.
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
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Shu J, Zhao R, Xu H, Liu X, Guo H, Lu C. Hyperuricemia is associated with metabolic syndrome: A cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES). Prev Med Rep 2023; 36:102520. [PMID: 38116281 PMCID: PMC10728457 DOI: 10.1016/j.pmedr.2023.102520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 11/18/2023] [Accepted: 11/20/2023] [Indexed: 12/21/2023] Open
Abstract
This study aimed to understand the prevalence of hyperuricemia and MetS in the United States and evaluate the potential effect of gender and ethnicity on hyperuricemia and MetS. Data was obtained from National Health and Nutrition Examination Survey (NHANES) between 2011 and 2018. Logistic regression analysis was utilized to investigate the association between hyperuricemia and MetS. A total of 7273 participants with an average age of 47.59 ± 16.92 years old were enrolled in our analysis. Of all the people, 1833 were diagnosed with MetS, with which 547 (29.8 %) were found with hyperuricemia. As for gender, 261 (28.3 %) females were with both Mets and hyperuricemia and this number came to 286 (31.4 %) for males.For population distribution, Non-Hispanic American white, and Hispanic American making up 61.2 % of the cohort. The logistic regression analysis showed that there was a significant association between MetS and hyperuricemia (OR = 2.608, 95 %CI: 2.281-2.982). And the relationship still existed between both males (OR = 2.172, 95 %CI: 1.829-2.579) and females (OR = 3.464, 95 %CI: 2.868-4.185); in addition, participant's ethnicity was also found to play an important role. And the association was found either in Hispanic Americans Non-Hispanic Americans White and black or from other races. In conclusion, our study found a significant association between hyperuricemia and MetS. The higher the uric acid level, the greater risk of people getting MetS and this risk was not influenced by people's gender and ethnicity.
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Affiliation(s)
- Jin Shu
- Department of Gynecology, Xi’an Hospital of Traditional Chinese Medicine, Xi’an, Shaanxi Province, People’s Republic of China
| | - Rushun Zhao
- Graduate School, Shaanxi University of Traditional Chinese Medicine, Xi’an 712046, Shaanxi, People’s Republic of China
| | - Hanbo Xu
- Graduate School, Shaanxi University of Traditional Chinese Medicine, Xi’an 712046, Shaanxi, People’s Republic of China
| | - Xin Liu
- Department of Gynecology, Xi’an Hospital of Traditional Chinese Medicine, Xi’an, Shaanxi Province, People’s Republic of China
| | - Hao Guo
- Department of Joint Surgery, Xi’an Hong Hui Hospital, Xi’an Jiaotong University Health Science Center, Xi’an 710054, Shaanxi, People’s Republic of China
| | - Chao Lu
- Department of Joint Surgery, Xi’an Hong Hui Hospital, Xi’an Jiaotong University Health Science Center, Xi’an 710054, Shaanxi, People’s Republic of China
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Zhou S, Yu Y, Zhang Z, Ma L, Wang C, Yang M, Cheng X, Liu T, Sun R, Chen Y. Association of obesity, triglyceride-glucose and its derivatives index with risk of hyperuricemia among college students in Qingdao, China. Front Endocrinol (Lausanne) 2022; 13:1001844. [PMID: 36277703 PMCID: PMC9583912 DOI: 10.3389/fendo.2022.1001844] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To analyze and compare the associations of hyperuricemia (HUA) with obesity, triglyceride-glucose (TyG), and its derivatives in college students. To provide early guidance on risk predictors of HUA in college students. METHODS This study was a cross-sectional survey including 23,411 participants (age: 17-20 years). Investigators conducted face-to-face interview surveys and physical examinations. Automated biochemical methods were used to detect biochemical indicators such as serum uric acid (UA). Calculation of obesity, TyG, and their derivatives indices were performed. Logistic regression was used to analyze the relationship between different indexes and hyperuricemia. OR value and 95% CI were also calculated. ROC curve was used for assessing the predictive ability of different indices of hyperuricemia. RESULTS After adjusting for age, SBP, DBP, ALT, AST, TC, BUN, and CREA, multivariate logistic regression showed that the OR value of LAP in the obesity index was higher, especially in women (male OR: 4.347, 95%CI: 3.807, 4.964; female OR: 4.672, 95%CI: 3.800, 5.744). The other three quartiles of TyG derivatives were highly associated with hyperuricemia in men and women compared with the top quartile (all P< 0.05). The risk of hyperuricemia increased with an increase in quartiles. For college students, all indicators could distinguish the presence of hyperuricemia. For men, the area under the curve (AUC) of TyG-WC was the largest (AUC: 0.694; 95%CI: 0.684-0.704; P<0.05), according to the Maximum Youden index 0.290 with cut point value 477.853. In women, TyG-BMI showed a maximum AUC value of 0.702 (95%CI: 0.685-0.719; P<0.05), according to the maximum Youden index of 0.317 with cut point value 132.446. The TyG-WC, TyG-WHtR, TyG-LAP, and LAP indices also had relatively high AUC. CONCLUSION In clinical practice, LAP, TYG, and their related derivatives may be used as sensitive indicators for HUA prediction in college students.
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Affiliation(s)
- Shizhe Zhou
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
- Department of Medicine, Qingdao University, Qingdao, China
| | - Yajie Yu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
- Department of Medicine, Qingdao University, Qingdao, China
| | - Zengxiao Zhang
- Department of Medicine, Qingdao University, Qingdao, China
| | - Lidan Ma
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Can Wang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Min Yang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiaoyu Cheng
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Tian Liu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Ruixia Sun
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Ying Chen
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China
- *Correspondence: Ying Chen,
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Kahaer M, Zhang B, Chen W, Liang M, He Y, Chen M, Li R, Tian T, Hu C, Sun Y. Triglyceride Glucose Index Is More Closely Related to Hyperuricemia Than Obesity Indices in the Medical Checkup Population in Xinjiang, China. Front Endocrinol (Lausanne) 2022; 13:861760. [PMID: 35311243 PMCID: PMC8924289 DOI: 10.3389/fendo.2022.861760] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 02/09/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Hyperuricemia (HUA) is a metabolic anomaly with an increased incidence rate, causing a global medical burden. Several studies have confirmed that obesity and insulin resistance (IR) are the risk factors for HUA. Reports on the predictive power of different obesity indices for HUA are limited. This study aimed to compare the association between different general, abdominal, and visceral obesity indices and markers of the IR-triglyceride glucose (TyG) index with serum uric acid (SUA) and to assess the ability of these indices to predict HUA. METHODS A total of 2243 participants were recruited from Barkol County Hospital and surrounding township hospitals in Xinjiang. Obesity indices, including the atherogenic index of plasma, cardiometabolic index, visceral adiposity index, lipid accumulation product index, a body shape index, body roundness index, waist circumference, waist-to-height ratio, body mass index, and TyG index, were divided into four quartiles. Moreover, partial correlations and logistic regression were used to analyze the association between these indices and SUA. The area under the curve (AUC) and receiver operating characteristic curves were used to analyze the predictive value of these indices for HUA. RESULTS After controlling for confounding variables, the association between the TyG index and HUA was stronger than that between the obesity indices in both males and females. The odds ratios (ORs) for HUA in the highest quartile of the TyG index were 2.098 (95% confidence interval, 1.555-2.831) in males and 7.788 (95% CI, 3.581-16.937) in females. For males, the AIP, CMI, VAI, LAP index, and TyG index were able to discriminate HUA, and the TyG index showed the highest AUC value of 0.586 (95% CI, 0.557-0.614; P < 0.001). For females, all indices, except BMI, can discriminate HUA. Moreover, the visceral obesity index CMI showed the highest AUC value of 0.737 (95% CI, 0.691-0.782; P < 0.001). Meanwhile, the TyG index had a relatively high AUC value of 0.728 (95% CI, 0.682-0.773; P < 0.001). CONCLUSION The TyG index was significantly related to HUA and was superior to obesity indices in identifying HUA in the medical checkup population in Xinjiang, China.
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Affiliation(s)
- Mayina Kahaer
- School of Public Health, Xinjiang Medical University, Urumqi, China
- Department of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
| | - Bei Zhang
- Department of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
| | - Wujin Chen
- Department of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
| | - Meiting Liang
- Department of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
| | - Yi He
- Department of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
| | - Miao Chen
- Department of Rheumatology and Immunology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Rui Li
- Department of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
| | - Tingting Tian
- Department of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
| | - Cheng Hu
- Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China
- *Correspondence: Yuping Sun, ; Cheng Hu,
| | - Yuping Sun
- Department of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
- *Correspondence: Yuping Sun, ; Cheng Hu,
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