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Huang F, Dai Q, Ma Q, Zheng K, Wu Y, Sun D, Yu Z, Liu Y, Jiang W, Yan X. Skipjack Tuna (Katsuwonus pelamis) Dark Muscle Hydrolysate Ameliorates Hyperuricemia in Mice via Regulating Gut Microbiota and Serum Metabolism. J Food Sci 2025; 90:e70232. [PMID: 40271800 DOI: 10.1111/1750-3841.70232] [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: 01/08/2025] [Revised: 03/28/2025] [Accepted: 04/09/2025] [Indexed: 04/25/2025]
Abstract
Peptides have emerged as promising agents for ameliorating hyperuricemia (HUA), a condition that poses significant risks to human health. This study evaluated the HUA-alleviating potential of skipjack tuna dark muscle hydrolysate (STDH) in a mouse model of HUA induced by potassium oxonate (PO) and hypoxanthine (Hx). The results demonstrated elevated serum uric acid (SUA) levels, increased xanthine oxidase (XOD) activity in the serum and liver, and kidney and intestinal damage in HUA mice. Although the standard drug allopurinol (AP) effectively reduced SUA levels and lowered XOD activity in the serum and liver, it exacerbated kidney damage and caused significant weight loss. In contrast, STDH intervention not only significantly lowered SUA, serum creatinine (SCr), and blood urea nitrogen (BUN) levels but also inhibited XOD activity in serum and liver. Notably, STDH ameliorated renal and intestinal morphological damage, as evidenced by hematoxylin-eosin (HE) staining. Gut microbiome analysis further revealed that STDH normalized the HUA-associated elevation of the Bacteroidetes/Firmicutes ratio. Untargeted metabolomics identified STDH's regulatory effects on glycine, serine, and threonine metabolism; arginine and proline metabolism; and glycerophospholipid metabolism, with glutamine implicated as a key player in HUA pathogenesis. These findings demonstrate that STDH effectively alleviates HUA while avoiding adverse effects associated with conventional therapy, positioning it as a safe and cost-effective functional food candidate for HUA management.
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Affiliation(s)
- Fangfang Huang
- Key Laboratory of Key Technical Factors in Zhejiang Seafood Health Hazards, College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, China
| | - Qingfei Dai
- Key Laboratory of Key Technical Factors in Zhejiang Seafood Health Hazards, College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, China
- Institute of Innovation and Application, Zhejiang Ocean University, Zhoushan, China
- College of Marine Science and Technology, Zhejiang Ocean University, Zhoushan, China
| | - Qingbao Ma
- Institute of Innovation and Application, Zhejiang Ocean University, Zhoushan, China
| | - Kewei Zheng
- Key Laboratory of Key Technical Factors in Zhejiang Seafood Health Hazards, College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, China
| | - Yuanyuan Wu
- Institute of Innovation and Application, Zhejiang Ocean University, Zhoushan, China
| | - Di Sun
- Institute of Innovation and Application, Zhejiang Ocean University, Zhoushan, China
| | - Zhongjie Yu
- Institute of Innovation and Application, Zhejiang Ocean University, Zhoushan, China
| | - Yu Liu
- Key Laboratory of Key Technical Factors in Zhejiang Seafood Health Hazards, College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, China
- Institute of Innovation and Application, Zhejiang Ocean University, Zhoushan, China
| | - Wei Jiang
- Key Laboratory of Key Technical Factors in Zhejiang Seafood Health Hazards, College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, China
- Institute of Innovation and Application, Zhejiang Ocean University, Zhoushan, China
- College of Marine Science and Technology, Zhejiang Ocean University, Zhoushan, China
| | - Xiaojun Yan
- Key Laboratory of Key Technical Factors in Zhejiang Seafood Health Hazards, College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, China
- Institute of Innovation and Application, Zhejiang Ocean University, Zhoushan, China
- College of Marine Science and Technology, Zhejiang Ocean University, Zhoushan, China
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Yang G, Zhou S, Feng Y, Lang J, Chen Y, Ren H. The Prevalence of Hyperuricemia and the Association Between Hyperuricemia and Age in Patients with Psychiatric Disorders to a General Hospital: A Cross-Section Study. Int J Gen Med 2024; 17:1467-1477. [PMID: 38645402 PMCID: PMC11032717 DOI: 10.2147/ijgm.s454670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 04/06/2024] [Indexed: 04/23/2024] Open
Abstract
Purpose In clinical work, it has been found that the prevalence of hyperuricemia (HUA) is significantly higher in younger patients with psychiatric disorders, but there are few studies in this area. The present study aims to evaluate the prevalence of HUA and the relationship between the HUA and age in hospitalized patients with psychiatric disorders in the real world, and to provide a theoretical basis for clinical staff to pay attention to the metabolic indicators of younger patients and for future related studies. Methods This is a cross-sectional evaluation of a cohort of 1761 patients with psychiatric disorders of hospitalized. The categories of disorders designed for study included: Depression, Bipolar disorder, Schizophrenia, Anxiety, Obsessive-Compulsive disorder, Acute and transient psychotic disorder, Dissociative(conversion) disorders, Conduct disorders and Tic disorders. In addition, based on age, the participants are stratified into three groups. The authors used Kruskal-Wallis tests, chi-square tests, and multiple linear logistic regression to verify the relationship between HUA and age among hospitalized patients with psychiatric disorders. Results Overall, the estimated prevalence of HUA was 35.4%. The prevalence of HUA was significantly higher in individuals with 17 years and under compared to those with 45 years and above (P < 0.001). After adjusting for confounders, the prevalence of HUA remained higher at 17 years and under than at 45 years and above. Bipolar disorder can lead to an increased prevalence of HUA (P<0.05). Conclusion The prevalence of HUA was higher in hospitalized patients with psychiatric disorders, and the prevalence was inversely proportional to age.
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Affiliation(s)
- Guodong Yang
- Mental Health Center, Hebei Medical University and Hebei Technical Innovation Center for Mental Health Assessment and Intervention, Shijiazhuang, Hebei, 050000, People’s Republic of China
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Department of Psychiatry, the First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
| | - Shuang Zhou
- The Sixth People’s Hospital of Hebei Province, Baoding, Hebei, 071000, People’s Republic of China
| | - Yue Feng
- Maternity & Child Care Center of Qinhuangdao, Qinhuangdao, Hebei, 066000, People’s Republic of China
| | - Jiaran Lang
- Mental Health Center, Hebei Medical University and Hebei Technical Innovation Center for Mental Health Assessment and Intervention, Shijiazhuang, Hebei, 050000, People’s Republic of China
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Department of Psychiatry, the First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
| | - Yaxin Chen
- Mental Health Center, Hebei Medical University and Hebei Technical Innovation Center for Mental Health Assessment and Intervention, Shijiazhuang, Hebei, 050000, People’s Republic of China
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Department of Psychiatry, the First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
| | - Huipeng Ren
- Mental Health Center, Hebei Medical University and Hebei Technical Innovation Center for Mental Health Assessment and Intervention, Shijiazhuang, Hebei, 050000, People’s Republic of China
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Department of Psychiatry, the First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
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Chen H, Sun F, Jin W. Study on association of serum uric acid levels with bipolar disorder: systematic review and meta-analysis in Chinese patients. Ann Gen Psychiatry 2023; 22:20. [PMID: 37202745 DOI: 10.1186/s12991-023-00450-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/13/2023] [Indexed: 05/20/2023] Open
Abstract
BACKGROUND The purine system represented by uric acid may be involved in the pathogenesis of bipolar disorder, This study intends to explore the association of serum uric acid levels with bipolar disorder in Chinese patients through meta-analysis. METHODS Electronic databases, including PubMed, Embase, Web of Science, and China National Knowledge Infrastructure (CNKI), searching from inception to December 2022. Randomized Controlled Trials that reported serum uric acid levels and bipolar disorder were included. Two investigators independently extracted data and RevMan5.4 and Stata14.2 were used for statistical analyses. RESULTS Twenty-eight studies with 4482 bipolar disorder, 1568 depression, 785 schizophrenia, and 2876 healthy control subjects were included in this meta-analysis. The results of the meta-analysis showed that serum uric acid levels in the bipolar disorder group were significantly higher than those in depression [SMD 0.53 (0.37, 0.70), p < 0.00001], schizophrenia [SMD 0.27 (0.05, 0.49), p = 0.02] and healthy control group [SMD 0.87 (0.67, 1.06), p < 0.00001]. Subgroup-analysis showed that in Chinese people with bipolar disorder, uric acid levels of the manic episode were higher than the depressed episode [SMD 0.31 (0.22, 0.41), p < 0.00001]. CONCLUSION Our results indicated a strong association between serum uric acid levels and bipolar disorder in Chinese patients, but further studies about whether uric acid levels can be a biomarker for bipolar disorder still need to investigate.
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Affiliation(s)
- Haihan Chen
- Department of Psychiatry, Second Clinical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Fengli Sun
- Department of Psychiatry, Zhejiang Province Mental Health Center, Zhejiang Province Tongde Hospital, Hangzhou, China
| | - Weidong Jin
- Department of Psychiatry, Zhejiang Province Mental Health Center, Zhejiang Province Tongde Hospital, Hangzhou, China.
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