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Wang Y, Qiu M, Zhou L, Zheng X, Wu X, Tu L, Xie Y, Yang M, Fang L, Wen X, Jiang B, Gu J. The Association of Persistent Hyperuricemia With Liver Function and the Management of Uric Acid Levels: Insights From a Three-Year Prospective Cohort Study. Int J Rheum Dis 2025; 28:e70079. [PMID: 39835769 DOI: 10.1111/1756-185x.70079] [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: 12/07/2024] [Revised: 12/31/2024] [Accepted: 01/09/2025] [Indexed: 01/22/2025]
Abstract
OBJECTIVE The association of long-term hyperuricemia with liver function remains less well understood. This prospective cohort study aimed to investigate the relationship between hyperuricemia and liver function as well as other metabolic and cardiovascular parameters. METHODS We enrolled 375 participants with hyperuricemia and 599 normouricemic controls. Participants were followed up for 3 years, and data on liver indicators, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), and liver ultrasonography were collected. Additionally, we assessed other parameters, such as renal function, lipid profile, blood pressure, fasting blood-glucose (FBG), and body mass index (BMI). RESULTS The highest prevalence of hyperuricemia was observed in the 20-29 age groups for the participants. Among the comorbidities of patients with hyperuricemia, the proportion of dyslipidemia is the highest (58.13%), followed by fatty liver (50.13%) and liver function impairment (33.07%). During the three-year follow-up period, compared to the baseline, patients with persistent hyperuricemia showed significant increases in BMI, triglycerides, total cholesterol, AST, and ALT levels (p < 0.05). Meanwhile, patients with improved hyperuricemia for 2 years exhibited significant decreases in FBG, total cholesterol, serum creatinine (p < 0.05), along with a significant increase in eGFR (p < 0.05). Correlation analysis revealed that levels of uric acid were positively correlated with ALT, FBG, and triglycerides in persistent hyperuricemia (p < 0.05). CONCLUSION Hyperuricemia shows a notable trend of younger age onset. Persistent hyperuricemia, correlated with elevated ALT levels, indicates an increasing risk of liver damage that should be concerned about. Effective management of hyperuricemia could improve metabolic disorders and renal dysfunction.
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Affiliation(s)
- Yina Wang
- Department of VIP Medical Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Minli Qiu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Liuzhong Zhou
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Xuqi Zheng
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Xinyu Wu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Liudan Tu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Ya Xie
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Mingcan Yang
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Linkai Fang
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Xianghui Wen
- Shenzhen Longhua Institute of Immunology Transformation, Shenzhen, Guangdong Province, China
| | - Boxiong Jiang
- Department of VIP Medical Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Jieruo Gu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
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Chi X, Cen Y, Yang B, Zhang H, Pu Z, Feng J, Pan H, Zhang Y. Effects of dietary factors on hyperuricaemia and gout: a systematic review and meta-analysis of observational studies. Int J Food Sci Nutr 2024; 75:753-773. [PMID: 39289820 DOI: 10.1080/09637486.2024.2400489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 06/18/2024] [Accepted: 08/23/2024] [Indexed: 09/19/2024]
Abstract
This study aimed to gather the best evidence on the relationship between dietary factors and hyperuricaemia and gout. We searched databases including PubMed, Embase, Cochrane, and Web of Science from database creation to July 2023. Meta-analysis showed that consumption of alcohol (OR: 1.41, 95% CI: 1.29-1.55; 1.60, 95% CI: 1.33-1.93, respectively), red meat (OR:1.27, 95% CI: 1.18-1.37; 1.32, 95% CI: 1.18-1.47, respectively), fructose (OR: 1.29, 95% CI: 1.21-1.38; 1.65, 95% CI: 1.36-2.01, respectively) and seafoods (OR: 1.40, 95% CI: 1.20-1.64; 1.29, 95% CI: 1.00-1.67, respectively) were positively associated with the risk of hyperuricaemia and gout, while vegetables (OR: 0.78, 95% CI: 0.71-0.85; 0.96,95% CI 0.74-1.24, respectively) were inversely associated. Dairy products (OR: 0.69, 95% CI: 0.61-0.78) and nuts (OR: 0.75, 95% CI: 0.60-0.93) were also inversely associated with the risk of hyperuricaemia. Soy products (OR: 0.86, 95% CI: 0.75-0.98) and coffee (OR: 0.56, 95% CI: 0.39-0.81) were negatively associated with the risk of gout.
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Affiliation(s)
- Xi Chi
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, P.R. China
- Ningxia, Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, P.R. China
| | - Yangyang Cen
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, P.R. China
- Ningxia, Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, P.R. China
| | - Bowen Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, P.R. China
- Ningxia, Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, P.R. China
| | - Huanzhen Zhang
- Tai'an Hospital of Traditional Chinese Medicine, Tai'an, China
| | - Zhiyu Pu
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, P.R. China
- Ningxia, Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, P.R. China
| | - Jing Feng
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Pudong, Shanghai, P.R. China
| | - Hongzhi Pan
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Pudong, Shanghai, P.R. China
| | - Yannan Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, P.R. China
- Ningxia, Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, P.R. China
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Huang Y, Jing H, Wang Z, Li Z, Chacha S, Teng Y, Mi B, Zhang B, Liu Y, Li Q, Shen Y, Yang J, Qu Y, Wang D, Yan H, Dang S. Does Serum Uric Acid Mediate Relation between Healthy Lifestyle and Components of Metabolic Syndrome? Nutrients 2024; 16:2137. [PMID: 38999885 PMCID: PMC11243389 DOI: 10.3390/nu16132137] [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: 05/23/2024] [Revised: 06/27/2024] [Accepted: 07/02/2024] [Indexed: 07/14/2024] Open
Abstract
A healthy lifestyle is related to metabolic syndrome (MetS), but the mechanism is not fully understood. This study aimed to examine the association of components of MetS with lifestyle in a Chinese population and potential mediation role of serum uric acid (SUA) in the association between lifestyle behaviors and risk of components of MetS. Data were derived from a baseline survey of the Shaanxi urban cohort in the Regional Ethnic Cohort Study in northwest China. The relationship between components of MetS, healthy lifestyle score (HLS), and SUA was investigated by logistic or linear regression. A counterfactual-based mediation analysis was performed to ascertain whether and to what extent SUA mediated the total effect of HLS on components of MetS. Compared to those with 1 or less low-risk lifestyle factors, participants with 4-5 factors had 43.6% lower risk of impaired glucose tolerance (OR = 0.564; 95%CI: 0.408~0.778), 60.8% reduction in risk of high blood pressure (OR = 0.392; 95%CI: 0.321~0.478), 69.4% reduction in risk of hypertriglyceridemia (OR = 0.306; 95%CI: 0.252~0.372), and 47.3% lower risk of low levels of HDL cholesterol (OR = 0.527; 95%CI: 0.434~0.641). SUA mediated 2.95% (95%CI: 1.81~6.16%) of the total effect of HLS on impaired glucose tolerance, 14.68% (95%CI: 12.04~18.85%) on high blood pressure, 17.29% (95%CI: 15.01~20.5%) on hypertriglyceridemia, and 12.83% (95%CI: 10.22~17.48%) on low levels of HDL cholesterol. Increased HLS tends to reduce risk of components of MetS partly by decreasing the SUA level, which could be an important mechanism by which lifestyle influences MetS.
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Affiliation(s)
- Yan Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Hui Jing
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Ziping Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Zongkai Li
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Samuel Chacha
- Department of Molecular Diagnostics, Sumbwanga Regional Referral Hospital, Rukwa 413, Tanzania;
| | - Yuxin Teng
- Department of Human Resources, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710004, China;
| | - Baibing Mi
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Binyan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Yezhou Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Qiang Li
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Yuan Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Jiaomei Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Yang Qu
- HKU Business School, 3/F K.K. Leung Building, The University of Hong Kong, Pokfulam Road, Hong Kong;
| | - Duolao Wang
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool L7 8XZ, UK;
| | - Hong Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
| | - Shaonong Dang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.H.); (H.J.); (Z.W.); (Z.L.); (B.M.); (B.Z.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (H.Y.)
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education, Xi’an 710061, China
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Luo M, Liu T, Ju H, Xia Y, Ji C, Zhao Y. Association between dietary patterns and chronic kidney disease combined with hyperuricemia. Food Funct 2024; 15:255-264. [PMID: 38059607 DOI: 10.1039/d3fo03354f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Background and aims: Chronic kidney disease (CKD) combined with hyperuricemia is a concerning health issue, but the association between this condition and dietary patterns remains poorly understood. The aim of this study was to assess the associations between dietary patterns and CKD combined with hyperuricemia. Methods: This cross-sectional study was conducted involving 12 318 participants aged 18-79 years during 2018-2020. Dietary intake information was collected using a validated 110-item food frequency questionnaire. Factor analysis was used to identify major dietary patterns. CKD was defined as the presence of albuminuria or an estimated glomerular filtration rate <60 mL min-1 1.73 m-2. Hyperuricemia was defined as serum uric acid levels >420 μmol L-1 both in men and women. Logistic regression models were applied to assess the association between dietary patterns and the risk of CKD combined with hyperuricemia. Results: Five major dietary patterns were identified: 'healthy pattern', 'traditional pattern', 'animal foods pattern', 'sweet foods pattern', and 'tea-alcohol pattern', which together explained 38.93% of the variance in the diet. After adjusting for potential confounders, participants in the highest quartile of the traditional pattern had a lower risk of CKD combined with hyperuricemia (OR = 0.49, 95% CI: 0.32-0.74, Pfor trend < 0.01). Conversely, participants in the highest quartile of the sweet foods pattern had a higher risk compared to those in the lowest quartile (OR = 1.69, 95% CI: 1.18-2.42, Pfor trend < 0.01). However, no significant association was observed between the healthy pattern, animal foods pattern and tea-alcohol pattern and the risk of CKD combined with hyperuricemia. Conclusions: Our results suggest that the traditional pattern is associated with a reduced risk of CKD combined with hyperuricemia, whereas the sweet foods pattern is associated with an increased risk.
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Affiliation(s)
- Mengrui Luo
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
| | - Tiancong Liu
- Department of Otorhinolaryngology - Head and Neck Surgery, Shengjing Hospital of China Medical University, China
| | - Hao Ju
- Department of Ultrasound, Shengjing Hospital of China Medical University, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Clinical Research Centre, Shengjing Hospital of China Medical University, China
| | - Chao Ji
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Clinical Research Centre, Shengjing Hospital of China Medical University, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Clinical Research Centre, Shengjing Hospital of China Medical University, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
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He X, Shao W, Yu S, Yu J, Huang C, Ren H, Liu C, Xu Y, Zhu Y. Healthy lifestyle scores associate with incidence of type 2 diabetes mediated by uric acid. Nutr Metab (Lond) 2023; 20:47. [PMID: 37915083 PMCID: PMC10619235 DOI: 10.1186/s12986-023-00763-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 09/26/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Whether and to what extent serum uric acid (SUA) mediates the association between combined lifestyle behaviors and type 2 diabetes mellitus (T2DM) remain unclear. This study aimed to investigate the role of SUA in the relationship between healthy lifestyle scores (HLS) and the incidence of T2DM. METHODS This prospective study used data from Zhejiang Metabolic Syndrome cohort. A HLS (5-point scale including healthy waist circumference (WC), never smoking, high physical activity, healthy diet and moderate alcohol intake) was estimated in 13,919 participants, who had SUA at baseline examination in 2009-2014, and were followed-up to 2021-2022 to ascertain incident of T2DM. Cox proportional hazards models and mediation analysis were used to examine the associations between HLS, SUA and T2DM. RESULTS We included 13,919 participants aged 18 years or older without diabetes at baseline (mean age 54.6 [SD 13.9] years, 58.7% female). During a median follow-up of 9.94 years, 645 cases of T2DM occurred. Compared with participants with a poor HLS, those with 4-5 low-risk lifestyle factors showed a 60% reduction in the risk of developing T2DM (adjusted HR, 0.40; 95% CI: 0.28-0.57). Further, the population-attributable risk percent (95% CI) of T2DM for poor adherence to the overall healthy lifestyle (< 4 low-risk factors) was 43.24% (30.02%, 56.46%). The HLS was inversely associated with SUA level. With per score increased in HLS, the beta (95% CI) of SUA (log transformed) was - 0.03 (- 0.03, - 0.02), and the odds ratio (95% CI) of hyperuricemia was 0.82 (0.77, 0.86). The relationship between the HLS and risk of T2DM was mediated by SUA with a 13.06% mediation effect. There was no significant combined effect of HLS and SUA on risk of T2DM (P = 0.097). CONCLUSIONS The relationship between overall healthy lifestyle behaviors and T2DM was reconfirmed and the association appeared to be mediated by SUA. The mediation effect of baseline SUA was more pronounced among women who were below 60 years old.
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Affiliation(s)
- Xinyue He
- Department of Epidemiology and Biostatistics and Department of Respiratory Diseases of Sir Run Run Show Hospital, Affiliated to School of Medicine, Zhejiang University, Hangzhou, 310058, Zhejiang, People's Republic of China
| | - Wei Shao
- Zhejiang Putuo Hospital, Zhoushan, Zhejiang, People's Republic of China
| | - Senhai Yu
- Xiaoshan District Yiqiao Community Health Service Center, Hangzhou, Zhejiang, People's Republic of China
| | - Jiazhou Yu
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Changzhen Huang
- Dongyang Traditional Chinese Medicine Hospital, Dongyang, Zhejiang, People's Republic of China
| | - Haiqing Ren
- Dongyang Traditional Chinese Medicine Hospital, Dongyang, Zhejiang, People's Republic of China
| | - Chengguo Liu
- Zhejiang Putuo Hospital, Zhoushan, Zhejiang, People's Republic of China.
| | - Yuying Xu
- Department of Epidemiology and Biostatistics and Teaching Experiment Center for Public Health, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
| | - Yimin Zhu
- Department of Epidemiology and Biostatistics and Department of Respiratory Diseases of Sir Run Run Show Hospital, Affiliated to School of Medicine, Zhejiang University, Hangzhou, 310058, Zhejiang, People's Republic of China.
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Cheng S, Shan L, You Z, Xia Y, Zhao Y, Zhang H, Zhao Z. Dietary patterns, uric acid levels, and hyperuricemia: a systematic review and meta-analysis. Food Funct 2023; 14:7853-7868. [PMID: 37599588 DOI: 10.1039/d3fo02004e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Background: Studies investigating the effects of dietary intake on serum uric acid (SUA) and hyperuricemia have yielded inconsistent results. Therefore, we conducted a meta-analysis to assess the associations between various dietary patterns and SUA levels as well as hyperuricemia. Methods: We searched PubMed, Web of Science, and EMBASE databases for relevant articles examining the association between dietary intake and SUA levels and/or hyperuricemia published until March 2023. Dietary intake patterns were classified into plant-based, animal-based, and mixed dietary patterns based on predominant foods. The pooled effect sizes of eligible studies and their corresponding 95% confidence intervals (CIs) were estimated using random-effects models. Publication bias was assessed using Egger's test. Results: We included 41 studies, comprising 359 317 participants, that investigated the effects of dietary patterns on SUA levels (n = 25) and hyperuricemia (n = 19). Our findings suggested that a plant-based dietary pattern was associated with decreased SUA levels in both interventional (standard mean difference: -0.24 mg dL-1, 95% CI: -0.42, -0.06; I2 = 61.4%) and observational studies (odds ratio (OR): 0.92, 95% CI: 0.89, 0.95, I2 = 91.1%); this association was stronger in men (OR: 0.45, 95% CI: 0.35, 0.58; I2 = 0). We observed that plant- and animal-based dietary patterns were associated with a reduced risk (OR: 0.75; 95% CI: 0.67, 0.83, I2 = 93.3%) and an increased risk (OR: 1.38; 95% CI: 1.20, 1.59, I2 = 88.4%) of hyperuricemia, respectively. Conclusions: Collectively, a plant-based dietary pattern is negatively associated with SUA levels and hyperuricemia. Therefore, a plant-based dietary pattern should be recommended for the management of SUA levels and the prevention of hyperuricemia.
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Affiliation(s)
- Sijie Cheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
| | - Lishen Shan
- Department of Pediatrics, Shengjing Hospital of China Medical University, China
| | - Zhuying You
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Clinical Research Center, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
| | - Hehua Zhang
- Clinical Research Center, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
| | - Zhiying Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
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Wang Y, Yang R, Cao Z, Han S, Han T, Jiang W, Wang X, Wei W. The Association of Food Groups and Consumption Time with Hyperuricemia: The U.S. National Health and Nutrition Examination Survey, 2005-2018. Nutrients 2023; 15:3109. [PMID: 37513527 PMCID: PMC10386299 DOI: 10.3390/nu15143109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 07/05/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
Hyperuricemia (HUA) is associated with a wide range of diseases and increases the public health burden on society as a whole. In addition to genetic variation, diet plays a crucial role in the prevention and treatment of HUA as an important modifiable behavior. The purpose of this study is to investigate whether food groups and consumption time are associated with HUA. A total of 41,230 participants from the National Health and Nutrition Examination Survey between 2005 and 2018 were included in the study. All meals, including breakfast, lunch, and dinner, were obtained according to their corresponding Food Patterns Equivalents Database dietary data. The binary logistic regression model was used to analyze the relationship between food groups, food consumption time and HUA. We found that the intake of fruit (mixed in various forms) (OR = 0.942, 95% CI: 0.909-0.976) or freshly squeezed juices (OR = 0.915, 95% CI: 0.859-0.975), milk (OR = 0.839, 95% CI: 0.808-0.872), and eggs (OR = 0.881, 95% CI: 0.839-0.924), poultry (OR = 1.055, 95% CI: 1.033-1.077) and seafood high in n-3 fatty acids (OR = 1.068, 95% CI: 0.1.018-1.120) at dinner, eating refined grains at breakfast (OR = 0.954, 95% CI: 0.924-0.985) and dinner (OR = 0.962, 95% CI: 0.944-0.980), eating whole grains (OR = 0.908, 95% CI: 0.845-0.976) at lunch, consuming alcoholic beverages or foods at breakfast (OR = 0.748, 95% CI: 0.564-0.990)/lunch (OR = 1.118, 95% CI: 1.008-1.240)/dinner (OR = 1.127, 95% CI: 1.073-1.185) were associated with HUA. Eating particular meals at particular times of the day was related to a lower risk of HUA.
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Affiliation(s)
- Yuanyuan Wang
- Department of Nutrition and Food Hygiene, The National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China
| | - Ruiming Yang
- Department of Nutrition and Food Hygiene, The National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China
| | - Ziteng Cao
- Department of Nutrition and Food Hygiene, The National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China
| | - Sijia Han
- Department of Nutrition and Food Hygiene, The National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China
| | - Tianshu Han
- Department of Nutrition and Food Hygiene, The National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China
| | - Wenbo Jiang
- Department of Nutrition and Food Hygiene, The National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China
| | - Xinyang Wang
- Department of Nutrition and Food Hygiene, The National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China
| | - Wei Wei
- Department of Nutrition and Food Hygiene, The National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China
- Department of Pharmacology, College of Pharmacy Key Laboratory of Cardiovascular Research, Ministry of Education, Harbin Medical University, Harbin 150081, China
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Wu X, Zhang Q, Guo H, Wang N, Fan X, Zhang B, Zhang W, Wang W, Fang Z, Wu J. Dietary patterns and risk for gastric cancer: A case-control study in residents of the Huaihe River Basin, China. Front Nutr 2023; 10:1118113. [PMID: 36755993 PMCID: PMC9899829 DOI: 10.3389/fnut.2023.1118113] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 01/05/2023] [Indexed: 01/24/2023] Open
Abstract
Aim Evidence linking dietary patterns and the risk of gastric cancer was limited, especially in Chinese populations. This study aimed to explore the association between dietary patterns and the risk of gastric cancer in residents of the Huaihe River Basin, China. Methods The association between dietary patterns and the risk of gastric cancer was investigated through a case-control study. Dietary patterns were identified with factor analysis based on responses to a food frequency questionnaire (FFQ). Gastric cancer was diagnosed according to the International Classification of Diseases, 10th Revision (ICD 10). Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated across the tertiles of dietary pattern scores using unconditional logistic regression models. Results A total of 2,468 participants were included in this study. Six main dietary patterns were extracted, and those patterns explained 57.09% of the total variation in food intake. After adjusting for demographic characteristics, lifestyle factors, individual disease history, family history of cancer and Helicobacter. Pylori (H. pylori) infection, comparing the highest with the lowest tertiles of dietary pattern scores, the multivariable ORs (95% CIs) were 0.786 (0.488, 1.265; P trend < 0.001) for the flavors, garlic and protein pattern, 2.133 (1.299, 3.502; P trend < 0.001) for the fast food pattern, 1.050 (0.682, 1.617; P trend < 0.001) for the vegetable and fruit pattern, 0.919 (0.659, 1.282; P trend < 0.001) for the pickled food, processed meat products and soy products pattern, 1.149 (0.804, 1.642; P trend < 0.001) for the non-staple food pattern and 0.690 (0.481, 0.989; P trend < 0.001) for the coffee and dairy pattern. Conclusions The specific dietary patterns were associated with the risk of gastric cancer. This study has implications for the prevention of gastric cancer.
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Affiliation(s)
- Xiaomin Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China,National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qian Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hong Guo
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Ning Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xueqi Fan
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bin Zhang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Wei Zhang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China,Key Laboratory of Liaoning Tumor Clinical Metabolomics, Jinzhou, Liaoning, China
| | - Wanying Wang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhongze Fang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China,Key Laboratory of Liaoning Tumor Clinical Metabolomics, Jinzhou, Liaoning, China,*Correspondence: Zhongze Fang ✉
| | - Jing Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China,National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Jing Wu ✉
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Allegrini S, Garcia-Gil M, Pesi R, Camici M, Tozzi MG. The Good, the Bad and the New about Uric Acid in Cancer. Cancers (Basel) 2022; 14:cancers14194959. [PMID: 36230882 PMCID: PMC9561999 DOI: 10.3390/cancers14194959] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 09/30/2022] [Accepted: 10/06/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The concentration of uric acid in blood is sex-, age- and diet-dependent and is maintained close to its maximal solubility, indicating that it plays some important role. Indeed, it has been demonstrated that, at physiological concentrations, uric acid is a powerful antioxidant and is a scavenger of singlet oxygen and radicals. At high intracellular concentration, uric acid has been demonstrated to act as a pro-oxidant molecule. Recently, uric acid has been reported to affect the properties of several proteins involved in metabolic regulation and signaling, and the relationship between uric acid and cancer has been extensively investigated. In this review, we present the most recent results on the positive and negative effects played by uric acid in cancer and some new findings and hypotheses about the implication of this metabolite in the pathogenesis of several diseases such as metabolic syndrome, diabetes, and inflammation, thus favoring the development of cancer. Abstract Uric acid is the final product of purine catabolism in man and apes. The serum concentration of uric acid is sex-, age- and diet-dependent and is maintained close to its maximal solubility, indicating that it plays some important role. Indeed, it has been demonstrated that, at physiological concentrations, uric acid is a powerful antioxidant, while at high intracellular concentrations, it is a pro-oxidant molecule. In this review, we describe the possible causes of uric acid accumulation or depletion and some of the metabolic and regulatory pathways it may impact. Particular attention has been given to fructose, which, because of the complex correlation between carbohydrate and nucleotide metabolism, causes uric acid accumulation. We also present recent results on the positive and negative effects played by uric acid in cancer and some new findings and hypotheses about the implication of this metabolite in a variety of signaling pathways, which can play a role in the pathogenesis of diseases such as metabolic syndrome, diabetes, and inflammation, thus favoring the development of cancer. The loss of uricase in Homo sapiens and great apes, although exposing these species to the potentially adverse effects of uric acid, appears to be associated with evolutionary advantages.
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Affiliation(s)
- Simone Allegrini
- Unità di Biochimica, Dipartimento di Biologia, Università di Pisa, Via San Zeno 51, 56127 Pisa, Italy
- Interdepartmental Research Center Nutrafood “Nutraceuticals and Food for Health”, Università di Pisa, 56126 Pisa, Italy
- CISUP, Centro per L’Integrazione della Strumentazione dell’Università di Pisa, 56127 Pisa, Italy
- Correspondence:
| | - Mercedes Garcia-Gil
- Interdepartmental Research Center Nutrafood “Nutraceuticals and Food for Health”, Università di Pisa, 56126 Pisa, Italy
- CISUP, Centro per L’Integrazione della Strumentazione dell’Università di Pisa, 56127 Pisa, Italy
- Unità di Fisiologia Generale, Dipartimento di Biologia, Università di Pisa, Via San Zeno 31, 56127 Pisa, Italy
| | - Rossana Pesi
- Unità di Biochimica, Dipartimento di Biologia, Università di Pisa, Via San Zeno 51, 56127 Pisa, Italy
| | - Marcella Camici
- Unità di Biochimica, Dipartimento di Biologia, Università di Pisa, Via San Zeno 51, 56127 Pisa, Italy
| | - Maria Grazia Tozzi
- Unità di Biochimica, Dipartimento di Biologia, Università di Pisa, Via San Zeno 51, 56127 Pisa, Italy
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Piao W, Zhao L, Yang Y, Fang H, Ju L, Cai S, Yu D. The Prevalence of Hyperuricemia and Its Correlates among Adults in China: Results from CNHS 2015-2017. Nutrients 2022; 14:nu14194095. [PMID: 36235748 PMCID: PMC9573360 DOI: 10.3390/nu14194095] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 09/27/2022] [Accepted: 09/29/2022] [Indexed: 11/07/2022] Open
Abstract
This study aimed to investigate the prevalence of hyperuricemia (HUA) and associated risk factors in Chinese adults aged 18 to 59 years. All the data were collected from the China Nutrition and Health Surveillance during the period 2015–2017, which adopted a stratified, multistage, random sampling method on a national scale. A total of 52,627 participants aged 18 years or older were included in this study. The definition of hyperuricemia was 420 μmol/L for male and 360 μmol/L for female. The Rao–Scott chi-square test was used to compare the differences in prevalence between or among the subgroups. A weighted two-level multivariate survey-logistic regression was used to detect the correlations between HUA and demographic, physical, lifestyle and metabolic factors. The total prevalence of HUA was 15.1%, and that was higher in male, current smokers, higher BMI and less physical activities subgroups, and also in noninfectious chronic diseases (NCDs) subgroups. The subgroups of non-vegetarian diet, insufficient vegetable intakes and excessive red meat and alcohol intakes had significantly higher HUA prevalence. After introducing all the variables in the survey-logistic regression, gender, age, BMI, physically active, hypertension, diabetes mellitus, bean and nut intake, vegetable intake, red meat intake, alcohol consumption and vegetarian were associated with HUA. Among the significant variables, age and physical active served as a protective factor, and BMI showed to be a risk factor for HUA. Hypertension and dyslipidemia could increase the risk for HUA, while diabetes mellitus was shown a negative association with it. For dietary factors, vegetarian diet, sufficient beans and nuts and vegetables intake could lower the risk of HUA, but more alcohol could increase the risk of HUA. Dietary factor played a key role in HUA. It suggested that the intervention of dietary factor should receive more attention to ameliorate the high prevalence of HUA in China.
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Docosahexaenoic Acid as the Bidirectional Biomarker of Dietary and Metabolic Risk Patterns in Chinese Children: A Comparison with Plasma and Erythrocyte. Nutrients 2022; 14:nu14153095. [PMID: 35956271 PMCID: PMC9370652 DOI: 10.3390/nu14153095] [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: 07/05/2022] [Revised: 07/20/2022] [Accepted: 07/26/2022] [Indexed: 11/29/2022] Open
Abstract
Objective: The present study aims to measure docosahexaenoic acid (DHA) in both the plasma and erythrocyte of a child population and compares them with respect to their associations with dietary and metabolic risk patterns. Methods: A cross-sectional study was conducted, and a total of 435 children ages 5−7 years old were recruited. Diet information was collected using a food frequency questionnaire (FFQ). The physical indicators, blood pressure, and glycolipid metabolic indicators were determined. The plasma and erythrocyte DHA were analyzed using a gas chromatography mass spectrometer. Principal component analysis was used to identify dietary and metabolic risk patterns. Multivariate regression analyses were used to investigate the associations of DHA status with dietary and metabolic risk patterns. Results: A significant correlation between plasma and the erythrocyte DHA concentration was found (r = 0.232, p < 0.001). A diversified dietary pattern characterized that a high intake of diversified foods had a positive association with the plasma DHA level (β = 0.145, 95% CI: 0.045~0.244, p = 0.004). Children of obesity risk patterns with a high weight, pelvis breadth, BMI, upper arm circumference, and chest circumference had lower plasma DHA concentrations (OR = 0.873, 95% CI: 0.786~0.969, p = 0.011). Children with higher plasma and erythrocyte DHA concentrations were adhered to blood lipid risk patterns with high CHOL and LDL-C levels. The plasma DHA (OR = 1.271, 95% CI: 1.142~1.415, p < 0.001) had a stronger association with a blood lipid risk pattern than erythrocyte (OR = 1.043, 95% CI: 1.002~1.086, p = 0.040). Conclusions: The diversified dietary pattern had a higher plasma DHA concentration. Lower levels of plasma DHA were positively associated with obesity in children. DHA in plasma appears to be more strongly associated with blood lipid metabolism than erythrocyte. Plasma DHA may be a more sensitive bidirectional biomarker to evaluate the recently comprehensive diet intake and metabolic risk of children.
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Dietary Pattern Associated with the Risk of Hyperuricemia in Chinese Elderly: Result from China Nutrition and Health Surveillance 2015–2017. Nutrients 2022; 14:nu14040844. [PMID: 35215493 PMCID: PMC8875556 DOI: 10.3390/nu14040844] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/15/2022] [Indexed: 01/27/2023] Open
Abstract
Our current study aimed to estimate the relationship between dietary patterns and hyperuricemia among the Chinese elderly over 60 years old. All the data were obtained from China Nutrition and Health Surveillance during 2015–2017. A total of 18,691 participants who completed the whole survey were included in our statistical analysis. The definition of hyperuricemia was 420 μmmol/L (7 mg/dL) for male and 360 μmmol/L (6 mg/dL) for female. Exploratory factor analysis was applied to explore posterior dietary patterns in our samples, and five dietary patterns were recognized, namely “Typical Chinese”, “Modern Chinese”, “Western”, “Animal products and alcohol”, and “Tuber and fermented vegetables”. After multiple adjusted logistic regression, participants in the highest quartile of “typical Chinese” (Q4 vs. Q1, OR = 0.32, 95% CI: 0.28–0.37, p-trend < 0.0001), “modern Chinese” (Q4 vs. Q1, OR = 0.81, 95% CI: 0.71–0.93, p-trend = 0.0021) and “tuber and fermented vegetables” (Q4 vs. Q1, OR = 0.78, 95% CI: 0.69–0.88, p-trend < 0.0001) showed a lower risk of hyperuricemia, while animal products and alcohol was positively associated with hyperuricemia (Q4 vs. Q1, OR = 1.49, 95% CI: 1.31–1.7, p-trend < 0.0001). We also found that participants who mainly ate a modern Chinese diet tended to meet the RNI/AI of nutrients we discuss in this paper, which may supply some information for hyperuricemia prevention and management by dietary methods.
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