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Korsmo HW, Ekperikpe US, Daehn IS. Emerging Roles of Xanthine Oxidoreductase in Chronic Kidney Disease. Antioxidants (Basel) 2024; 13:712. [PMID: 38929151 PMCID: PMC11200862 DOI: 10.3390/antiox13060712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 06/09/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024] Open
Abstract
Xanthine Oxidoreductase (XOR) is a ubiquitous, essential enzyme responsible for the terminal steps of purine catabolism, ultimately producing uric acid that is eliminated by the kidneys. XOR is also a physiological source of superoxide ion, hydrogen peroxide, and nitric oxide, which can function as second messengers in the activation of various physiological pathways, as well as contribute to the development and the progression of chronic conditions including kidney diseases, which are increasing in prevalence worldwide. XOR activity can promote oxidative distress, endothelial dysfunction, and inflammation through the biological effects of reactive oxygen species; nitric oxide and uric acid are the major products of XOR activity. However, the complex relationship of these reactions in disease settings has long been debated, and the environmental influences and genetics remain largely unknown. In this review, we give an overview of the biochemistry, biology, environmental, and current clinical impact of XOR in the kidney. Finally, we highlight recent genetic studies linking XOR and risk for kidney disease, igniting enthusiasm for future biomarker development and novel therapeutic approaches targeting XOR.
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Affiliation(s)
| | | | - Ilse S. Daehn
- Department of Medicine, Division of Nephrology, The Icahn School of Medicine at Mount Sinai, One Gustave Levy Place, Box 1243, New York, NY 10029, USA
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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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Wu X, Tang W, Tang D, Hu Y, Zhang N, Dai S, Pan Y, Li J, Guan H, Meng J, Zhao X, Xiao X, Yin J. Two a posteriori dietary patterns are associated with risks of hyperuricemia among adults in less-developed multiethnic regions in Southwest China. Nutr Res 2023; 110:96-107. [PMID: 36696716 DOI: 10.1016/j.nutres.2022.12.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/20/2022] [Accepted: 12/27/2022] [Indexed: 01/01/2023]
Abstract
Diet is a major determinant of hyperuricemia, but little is known about the association between diet and hyperuricemia in less-developed multiethnic regions (LMERs). This study aimed to assess the hypothesis that dietary patterns (including 2 a-priori and 3 a posteriori dietary patterns) are associated with hyperuricemia in LMERs. The 2 a priori dietary patterns were the Dietary Approaches to Stop Hypertension (DASH) and the alternative Mediterranean diet (aMED). We derived 3 a posteriori dietary patterns from the China Multi-Ethnic Cohort study by principal component factor analysis. Given that those dietary patterns had high geographic discrimination, they were named the Sichuan Basin (economically developed industrial region), Yunnan-Guizhou Plateau (agricultural region), and Qinghai-Tibet Plateau (nomadic region) dietary pattern, respectively. We performed a logistic regression model to investigate associations between dietary patterns and hyperuricemia with potential confounders identified by the directed acyclic graph. Comparing the highest with the lowest quintiles, the Sichuan Basin dietary pattern was positively associated with hyperuricemia, whereas the Yunnan-Guizhou Plateau dietary pattern showed an inverse association with hyperuricemia. For the Qinghai-Tibet Plateau dietary pattern, DASH, or aMED, our results did not show a significant association with hyperuricemia. The results were robust among stratified analyses and different analyzing strategies. The dietary patterns showed great diversity in Southwest China. Both DASH and aMED, which many studies widely recommended, did not show expected beneficial effects on preventing hyperuricemia. However, the plant-based protein dietary pattern in the Yunnan-Guizhou Plateau showed a beneficial association with the risk of hyperuricemia, which can provide insights for dietary guidance in LMERs.
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Affiliation(s)
- Xinyu Wu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Wenge Tang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Dan Tang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yifan Hu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ning Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Suyao Dai
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yongyue Pan
- School of Medicine, Tibet University, Lhasa, China
| | - Jingzhong Li
- Tibet Center for Disease Control and Prevention, Lhasa, China
| | - Han Guan
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Jiantong Meng
- Chengdu Center for Disease Control and Prevention, Chengdu, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xiong Xiao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
| | - Jianzhong Yin
- School of Public Health, Kunming Medical University, Baoshan College of Traditional Chinese Medicine, Kunming, China.
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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: 6.0] [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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Dietary patterns and cardiovascular risk factors among Brazilians: a population based study in Viçosa, Minas Gerais. Nutrition 2022; 98:111626. [DOI: 10.1016/j.nut.2022.111626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 01/29/2022] [Accepted: 01/31/2022] [Indexed: 11/18/2022]
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Association and interaction between dietary patterns and gene polymorphisms in Liangshan residents with hyperuricemia. Sci Rep 2022; 12:1356. [PMID: 35079028 PMCID: PMC8789849 DOI: 10.1038/s41598-021-04568-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 12/21/2021] [Indexed: 11/13/2022] Open
Abstract
Hyperuricemia (HUA) is associated with dietary and genetic factors. However, studies on dietary patterns and their interaction effect with genes on the risk of HUA are limited. We aimed to explore the association between dietary patterns and HUA, and dietary patterns—gene interactions on the risk of HUA. A population-based cross-sectional study was conducted in adults aged 18 and older in Liangshan Yi Autonomous Prefecture of China. Dietary consumption was collected using a standard Food Frequency Questionnaire. Vein blood samples were collected after overnight fasting, and DNA was extracted from peripheral blood leukocytes. Dietary patterns were derived using principal component and factor analysis. Of the 2646 participants, the prevalence of HUA was 26.8%. Three dietary patterns were classified. Of them, a dietary pattern with higher meat consumption (defined as meat-based) had the strongest association with HUA than a dietary pattern with plant-based or local special diet-based. A higher frequency of T allele at ABCG2 rs2231142 and SLC2A9 rs11722228 loci was observed in participants with HUA than those without HUA. An additive interaction of meat-based dietary pattern with rs2231142 locus was significantly associated with an increased risk of HUA. The relative excess risks of interaction, attributable proportion of interaction, and synergy index (S) were 0.482 (95% CI: 0.012–0.976), 0.203 (95% CI: 0.033–0.374), and 1.544 (95% CI: 1.012–2.355), respectively. In conclusion, a dietary pattern with meat-based was significantly associated with an increased risk of HUA. There was an additive interaction between a meat-based dietary pattern and the ABCG2 rs2231142 locus. Individuals with rs2231142 T allele were at higher risk of HUA than those with rs2231142 GG allele.
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Zhang T, Rayamajhi S, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Wang Y, Zhang S, Wang X, Zhang J, Li H, Thapa A, Sun S, Wang X, Zhou M, Jia Q, Song K, Niu K. Dietary patterns and risk for hyperuricemia in the general population: Results from the TCLSIH cohort study. Nutrition 2021; 93:111501. [PMID: 34717108 DOI: 10.1016/j.nut.2021.111501] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 09/04/2021] [Accepted: 09/19/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Prospective cohort studies linking dietary patterns and hyperuricemia (HUA) are limited, especially in Asian populations. The aim of this study was to prospectively investigate the association between various dietary patterns and risk for HUA in a general adult population. METHOD We used data from the TCLSIH (Tianjin Chronic Low-grade Systemic Inflammation and Health) cohort study of 20 766 men and women who were free from HUA, cancer, and cardiovascular disease at baseline. Dietary patterns at baseline were identified with factor analysis based on responses to a validated 81-item food frequency questionnaire. HUA was defined as serum uric acid levels >420 μmol/L in men and >350 μmol/L in women. Cox proportional hazards regression models were used to examine the association of dietary patterns with incident HUA. RESULTS In all, 4389 first incident cases of HUA occurred during 73 822 person-years of follow-up (median follow-up of 4.2 y). Three main dietary patterns were extracted. They were the vegetable, sweet food, and animal food patterns. After adjusting for demographic characteristics, lifestyle factors, other dietary pattern scores, and inflammatory markers, comparing the highest with the lowest quartiles of dietary pattern scores, the multivariable hazard ratios (95% confidence interval) of HUA were 0.79 (0.72-0.87; Ptrend < 0.0001) for the vegetable pattern, 1.22 (1.12-1.33; Ptrend < 0.0001) for the sweet food pattern, and 1.24 (1.13-1.37; Ptrend < 0.0001) for the animal food pattern. CONCLUSIONS Dietary patterns rich in animal or sweet foods were positively associated with a higher risk for HUA, whereas the vegetable pattern was negatively associated.
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Affiliation(s)
- Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Sabina Rayamajhi
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Amrish Thapa
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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Zhang T, Gan S, Ye M, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Zhang S, Wang Y, Wang X, Sun S, Wang X, Zhou M, Jiao H, Jia Q, Song K, Wu Y, Niu K. Association between consumption of ultra-processed foods and hyperuricemia: TCLSIH prospective cohort study. Nutr Metab Cardiovasc Dis 2021; 31:1993-2003. [PMID: 34119375 DOI: 10.1016/j.numecd.2021.04.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/01/2021] [Accepted: 04/02/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND AIMS Emerging evidence suggests that consumption of ultra-processed foods (UPF) plays a role in the development of chronic diseases, but evidence of their influence on hyperuricemia is limited. We therefore designed a cohort study to examine whether UPF consumption increase the risk of hyperuricemia in adults. METHODS AND RESULTS This was a prospective study (n = 18,444) performed in Tianjin, China from 2013 to 2019. Participants that were aged 18 years and over and with no history of hyperuricemia, were followed up for 1-6 years (median follow-up duration = 4.2 years). UPF consumption was assessed by a validated semi-quantitative food frequency questionnaire. Hyperuricemia was defined as serum uric acid levels ≥7.0 mg/dL in males and ≥ 6 mg/dL in females. Multivariable Cox proportional hazards regression models were used to assess the association between UPF consumption and the risk of hyperuricemia. Restricted cubic spline regression was used to estimate the dose-response association between UPF consumption and risk of hyperuricemia. During follow-up period, the incidence of hyperuricemia was 20.3% in general population (27.7% in males and 13.2% in females). In the final multivariate models, the hazard ratios (95% confidence interval) for hyperuricemia across energy adjusted UPF consumption quartiles were 1.00 (reference), 1.04 (0.94, 1.14), 1.11 (1.01, 1.23), 1.16 (1.05, 1.28) (p for trend = 0.02) in general population. CONCLUSIONS This population-based prospective cohort study suggests that increased consumption of UPF is independently associated the risk of hyperuricemia.
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Affiliation(s)
- Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shinan Gan
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Mingxu Ye
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xing Wang
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Ming Zhou
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Huanli Jiao
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Qiyu Jia
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yuntang Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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Zeng J, Zhang J, Li Z, Li T, Li G. Prediction model of artificial neural network for the risk of hyperuricemia incorporating dietary risk factors in a Chinese adult study. Food Nutr Res 2020; 64:3712. [PMID: 32047420 PMCID: PMC6983978 DOI: 10.29219/fnr.v64.3712] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 12/04/2019] [Accepted: 12/09/2019] [Indexed: 01/06/2023] Open
Abstract
Background Risk of hyperuricemia (HU) has been shown to be strongly associated with dietary factors. However, there is scarce evidence on prediction models incorporating dietary factors to estimate the risk of HU. Objective The aim of this study was to develop a prediction model to predict the risk of HU in Chinese adults based on dietary information. Design Our study was based on a cross-sectional survey, which recruited 1,488 community residents aged 18 to 60 years in Beijing from October 2010 to January 2011. The eligible participants were randomly divided into a training set (n1 = 992) and a validation set (n2 = 496) in the ratio of 2:1. We developed the prediction model in three stages. We first used a logistic regression model (LRM) based on the training set to select a set of dietary risk factors which were related to the risk of HU. Artificial neural network (ANN) was then used to construct the prediction model using the training set. Finally, we used receiver operating characteristic (ROC) curve analysis to assess the accuracy of the prediction model using training and validation sets. Results In the training set, the mean age of participants with and without HU was 39.3 (standard deviation [SD]: 9.65) and 38.2 (SD: 9.38) years, respectively. Patients with HU consisted of 101 males (77.7%) and 29 females (22.3%). The LRM found that food frequency (vegetables [odds ratio (OR) = 0.73], meat [0.72], eggs [0.80], plant oil [0.78], tea [0.51], eating habits (breakfast [OR = 1.28]), and the salty cooking style (OR = 1.33) were associated with risk of HU. In the ANN analysis, we selected a three-layer back propagation neural network (BPNN) model with 14, 3, and 1 neuron in the input, hidden, and output layers, respectively, as the best prediction model. The areas under the ROC of the training and validation sets were 0.827 and 0.814, respectively. HU would occur when the incidence probability is greater than 0.128. The indicators of accuracy, sensitivity, specificity, and Yuden Index suggested that the ANN model in our study is successful and valuable. Conclusions This study suggests that the ANN model could be used to predict the risk of HU in Chinese adults. Further prospective studies are needed to improve the accuracy and to generalize the use of model.
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Affiliation(s)
- Jie Zeng
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Junguo Zhang
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Ziyi Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Tianwang Li
- Department of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
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Jakše B, Jakše B, Pajek M, Pajek J. Uric Acid and Plant-Based Nutrition. Nutrients 2019; 11:nu11081736. [PMID: 31357560 PMCID: PMC6722549 DOI: 10.3390/nu11081736] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 07/20/2019] [Accepted: 07/22/2019] [Indexed: 12/13/2022] Open
Abstract
Plant-based diets (PBDs) are associated with decreased risk of morbidity and mortality associated with important noncommunicable chronic diseases. Similar to animal-based food sources (e.g., meat, fish, and animal visceral organs), some plant-based food sources (e.g., certain soy legume products, sea vegetables, and brassica vegetables) also contain a high purine load. Suboptimally designed PBDs might consequently be associated with increased uric acid levels and gout development. Here, we review the available data on this topic, with a great majority of studies showing reduced risk of hyperuricemia and gout with vegetarian (especially lacto-vegetarian) PBDs. Additionally, type of ingested purines, fiber, vitamin C, and certain lifestyle factors work in concordance to reduce uric acid generation in PBDs. Recent limited data show that even with an exclusive PBD, uric acid concentrations remain in the normal range in short- and long-term dieters. The reasonable consumption of plant foods with a higher purine content as a part of PBDs may therefore be safely tolerated in normouricemic individuals, but additional data is needed in hyperuricemic individuals, especially those with chronic kidney disease.
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Affiliation(s)
- Boštjan Jakše
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
| | | | - Maja Pajek
- Faculty of Sport, University of Ljubljana, Gortanova 22, 1000 Ljubljana, Slovenia
| | - Jernej Pajek
- Department of Nephrology, University Medical Center Ljubljana, Zaloška 2, 1525 Ljubljana, Slovenia.
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Luo Y, Wang L, Liu XY, Chen X, Song YX, Li XH, Jiang C, Peng A, Liu JY. Plasma profiling of amino acids distinguishes acute gout from asymptomatic hyperuricemia. Amino Acids 2018; 50:1539-1548. [PMID: 30073607 DOI: 10.1007/s00726-018-2627-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 07/20/2018] [Indexed: 12/27/2022]
Abstract
Gout and hyperuricemia are highly prevalent metabolic diseases caused by high level of uric acid. Amino acids (AAs) involve in various biochemical processes including the biosynthesis of uric acid. However, the role of AAs in discriminating gout from hyperuricemia remains unknown. Here, we report that the plasma AAs profile can distinguish acute gout (AG) from asymptomatic hyperuricemia (AHU). We established an LC-MS/MS-based method to measure the plasma AAs without derivatization for the AG and AHU patients, and healthy controls. We found that the plasma profiling of AAs separated the AG patients from AHU patients and controls visually in both principal component analysis and orthogonal partial least-squares discriminant analysis (OPLS-DA) models. In addition, L-isoleucine, L-lysine, and L-alanine were suggested as the key mediators to distinguish the AG patients from AHU and control groups based on the S-plot analysis and variable importance in the projection values in the OPLS-DA models, volcano plot, and the receiver operating characteristic curves. In addition, the saturation of monosodium urate in the AA solutions at physiologically mimic status supported the changes in plasma AAs facilitating the precipitation of monosodium urate. This study suggests that L-isoleucine, L-lysine, and L-alanine could be the potential markers to distinguish the AG from AHU when the patients have similar blood levels of uric acid, providing new strategies for the prevention, treatment, and management of acute gout.
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Affiliation(s)
- Ying Luo
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China
| | - Ling Wang
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China
| | - Xin-Ying Liu
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China
| | - Xiaolong Chen
- The School of Life Sciences and Technology, Shanghai Key Laboratory of Signaling and Disease Research, Tongji University, Shanghai, 200092, China
| | - Ya-Xiang Song
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China
| | - Xin-Hua Li
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China
| | - Cizong Jiang
- The School of Life Sciences and Technology, Shanghai Key Laboratory of Signaling and Disease Research, Tongji University, Shanghai, 200092, China
| | - Ai Peng
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China.
| | - Jun-Yan Liu
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China.
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12
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A dietary pattern rich in animal organ, seafood and processed meat products is associated with newly diagnosed hyperuricaemia in Chinese adults: a propensity score-matched case–control study. Br J Nutr 2018; 119:1177-1184. [DOI: 10.1017/s0007114518000867] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
AbstractPrevious studies have indicated that some food items and nutrients are associated with uric acid metabolism in humans. However, little is known about the role of dietary patterns in hyperuricaemia. We designed this case–control study to evaluate the associations between dietary patterns and newly diagnosed hyperuricaemia in Chinese adults. A total of 1422 cases and 1422 controls were generated from 14 538 participants using the 1:1 ratio propensity score matching methods. Dietary intake was assessed using a validated self-administered FFQ. Dietary patterns were derived by factor analysis. Hyperuricaemia was defined as concentrations of serum uric acid higher than 7 mg/dl (416·5 μmol/l) for men and 6 mg/dl (357 μmol/l) for women. Three dietary patterns were derived by factor analysis: sweet pattern; vegetable pattern; animal foods pattern. The animal foods pattern characterised by higher intake of an animal organ, seafood and processed meat products was associated with higher prevalence of newly diagnosed hyperuricaemia (Pfor trend<0·01) after adjustment. Compared with the participants in the lowest quartile of the animal foods pattern, the OR of newly diagnosed hyperuricaemia in the highest quartile was 1·50 (95 % CI 1·20, 1·87). The other two dietary patterns were not associated with the prevalence of newly diagnosed hyperuricaemia after adjustment. In conclusion, a diet rich in animal organ, seafood and processed meat products is associated with higher prevalence of newly diagnosed hyperuricaemia in a Chinese population. Further cohort studies and randomised controlled trials are required to clarify these findings.
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13
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Liu X, Huang S, Xu W, Zhou A, Li H, Zhang R, Liu Y, Yang Y, Jia H. Association of dietary patterns and hyperuricemia: a cross-sectional study of the Yi ethnic group in China. Food Nutr Res 2018; 62:1380. [PMID: 29720927 PMCID: PMC5917417 DOI: 10.29219/fnr.v62.1380] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 03/28/2018] [Accepted: 03/29/2018] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Diet plays an important role in the development of hyperuricemia (HUA), but evidence for association between overall dietary patterns and HUA is scarce and inconsistent. The present study aims to explore association of dietary patterns and HUA among the Yi ethnic group of China. METHODS This is a cross-sectional study involving people aged more than 18 years. Principal component factor analysis (PCFA) on food groups from a semi-quantitative 52-item food frequency questionnaire was applied to identify dietary patterns. HUA status was regressed on tertiles of factor scores to estimate prevalence ratio (PR) by using log-binomial model. RESULTS Of the 1,893 participants (18-96 years), 398 (21.0%) were diagnosed with HUA. Three dietary patterns were identified: 'plant-based', 'animal products', and 'mixed food'. The 'animal products' was characterized by high intake of fish, animal giblets, fresh meat, and wheat products. After adjustment for potential confounders, the highest tertile of 'animal products' pattern score was associated with higher prevalence of HUA when compared with the lowest tertile (PR: 1.34, 95% CI: 1.06-1.70). The other two patterns were not related to HUA. CONCLUSIONS 'Animal products' dietary pattern was correlated with HUA among the Yi ethnic group of China.
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Affiliation(s)
- Xirun Liu
- School of Public Health, Southwest Medical University, Luzhou, China
| | - Shanshan Huang
- School of Public Health, Southwest Medical University, Luzhou, China
| | - Wangdong Xu
- School of Public Health, Southwest Medical University, Luzhou, China
| | - Aijing Zhou
- Department of Medical Record, Sichuan University West China Hospital, Chengdu, China
| | - Hui Li
- School of Public Health, Southwest Medical University, Luzhou, China
| | - Rong Zhang
- School of Public Health, Southwest Medical University, Luzhou, China
| | - Ya Liu
- School of Public Health, Southwest Medical University, Luzhou, China
| | - Yan Yang
- School of Public Health, Southwest Medical University, Luzhou, China
| | - Hong Jia
- School of Public Health, Southwest Medical University, Luzhou, China
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14
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Abstract
In our literature research, we have not found any study reporting the association between the major dietary patterns and the risk of hyperuricemia in a middle-aged Chinese population. Herein, the present study aimed to evaluate the association of dietary patterns with the risk of hyperuricemia in the city of Hangzhou, Zhejiang Province, East China. We included 1204 participants (743 males and 461 females) aged 45 to 59 years in the present cross-sectional study. Dietary intake was assessed using a semiquantitative food frequency questionnaire in 2014 to 2016. All biochemical data and anthropometric measurements were collected following standardized procedures. Dietary patterns were determined by using factor analysis. We examined the associations between major dietary patterns and hyperuricemia risk by log-binominal regression analysis, and the results are presented as prevalence ratio (PR) and confidence interval (CI). Three major dietary patterns were identified by means of factor analysis: traditional Chinese, meat food, and mixed food patterns. After controlling for potential confounders, subjects in the highest quartile of the traditional Chinese pattern scores had a lower PR for hyperuricemia (PR = 0.82; 95%CI: 0.426-0.922), in comparison to those from the lowest quartile, while compared with the lowest quartile of the meat food pattern, the highest quartile had a greater PR for hyperuricemia (PR = 1.48; 95%CI: 1.120-2.097). Besides, no association was observed between mixed food pattern and the risk of hyperuricemia.Our findings indicate that the traditional Chinese pattern is associated with a decreased risk of hyperuricemia, and the meat food pattern is associated with an increased risk of hyperuricemia, whereas the mixed food pattern shows no association with the risk of hyperuricemia. Further large prospective studies are warranted to confirm our findings.
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Affiliation(s)
- Fang He
- Department of Clinical Nutrition, School of Medicine, Second Affiliated Hospital of Zhejiang University, Shangcheng District
| | - Lei-Lei Wang
- Department of Clinical Nutrition, School of Medicine, Second Affiliated Hospital of Zhejiang University, Shangcheng District
| | - Xiao-Long Yu
- Department of Nutrition, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang, People's Republic of China
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15
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Zhang M, Gao Y, Wang X, Liu W, Zhang Y, Huang G. Comparison of the effect of high fruit and soybean products diet and standard diet interventions on serum uric acid in asymptomatic hyperuricemia adults: an open randomized controlled trial. Int J Food Sci Nutr 2016; 67:335-43. [PMID: 26940151 DOI: 10.3109/09637486.2016.1153608] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The aim of this study was to compare the effect of high fruit and soybean products diet and standard diet interventions on serum uric acid (SUA) in asymptomatic hyperuricemia adults. A total of 187 Chinese adults (20-59 years old) with asymptomatic hyperuricemia participated in this randomized trial and were assigned to receive the standard diet recommended by guideline (group 1) and high fruit and soybean products diet (group 2) for 3 months. The outcome of SUA was assessed before and at the end of the intervention period. After 3 months, the SUA in group 1 and group 2 was significant reduced, whereas the SUA was not significantly changed in-between groups. These data suggest that over a 3-month period, although the high fruit and soybean products diet and standard diet interventions yield no different effects on SUA, the high fruit and soybean products dietary intervention could be an effective alternative to a standard diet for achieving clinically important reductions in SUA for asymptomatic hyperuricemia patients.
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Affiliation(s)
- Meilin Zhang
- a Department of Nutrition and Food Science, School of Public Health , Tianjin Medical University , Tianjin , China
| | - Yuxia Gao
- b Department of Cardiology , General Hospital of Tianjin Medical University , Tianjin , China
| | - Xuan Wang
- a Department of Nutrition and Food Science, School of Public Health , Tianjin Medical University , Tianjin , China
| | - Weiqiao Liu
- c Health Examination Center of Heping District , Tianjin , China
| | - Yuwen Zhang
- c Health Examination Center of Heping District , Tianjin , China
| | - Guowei Huang
- a Department of Nutrition and Food Science, School of Public Health , Tianjin Medical University , Tianjin , China
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