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Ying Y, Wang L, Ma S, Zhu Y, Ye S, Jiang N, Zhao Z, Zheng C, Shentu Y, Wang Y, Li D, Zhang J, Chen C, Huang L, Yang D, Zhou Y. An enhanced machine learning approach for effective prediction of IgA nephropathy patients with severe proteinuria based on clinical data. Comput Biol Med 2024; 173:108341. [PMID: 38552280 DOI: 10.1016/j.compbiomed.2024.108341] [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: 11/14/2023] [Revised: 03/02/2024] [Accepted: 03/17/2024] [Indexed: 04/17/2024]
Abstract
IgA Nephropathy (IgAN) is a disease of the glomeruli that may eventually lead to chronic kidney disease or kidney failure. The signs and symptoms of IgAN nephropathy are usually not specific enough and are similar to those of other glomerular or inflammatory diseases. This makes a correct diagnosis more difficult. This study collected data from a sample of adult patients diagnosed with primary IgAN at the First Affiliated Hospital of Wenzhou Medical University, with proteinuria ≥1 g/d at the time of diagnosis. Based on these samples, we propose a machine learning framework based on weIghted meaN oF vectOrs (INFO). An enhanced COINFO algorithm is proposed by merging INFO, Cauchy Mutation (CM) and Oppositional-based Learning (OBL) strategies. At the same time, COINFO and Support Vector Machine (SVM) were integrated to construct the BCOINFO-SVM framework for IgAN diagnosis and prediction. Initially, the proposed enhanced COINFO is evaluated using the IEEE CEC2017 benchmark problems, with the outcomes demonstrating its efficient optimization capability and accuracy in convergence. Furthermore, the feature selection capability of the proposed method is verified on the public medical datasets. Finally, the auxiliary diagnostic experiment was carried out through IgAN real sample data. The results demonstrate that the proposed BCOINFO-SVM can screen out essential features such as High-Density Lipoprotein (HDL), Uric Acid (UA), Cardiovascular Disease (CVD), Hypertension and Diabetes. Simultaneously, the BCOINFO-SVM model achieves an accuracy of 98.56%, with sensitivity at 96.08% and specificity at 97.73%, making it a potential auxiliary diagnostic model for IgAN.
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Affiliation(s)
- Yaozhe Ying
- Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
| | - Luhui Wang
- Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
| | - Shuqing Ma
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Yun Zhu
- Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
| | - Simin Ye
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Nan Jiang
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Zongyuan Zhao
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Chenfei Zheng
- Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China; Institute of Chronic Nephropathy, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Yangping Shentu
- Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
| | - YunTing Wang
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, USA.
| | - Duo Li
- Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China; Institute of Chronic Nephropathy, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Ji Zhang
- Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China; Institute of Chronic Nephropathy, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Chaosheng Chen
- Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China; Institute of Chronic Nephropathy, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Liyao Huang
- Key Laboratory of Intelligent Informatics for Safety & Emergency of Zhejiang Province, Wenzhou University, Wenzhou, 325035, China.
| | - Deshu Yang
- Key Laboratory of Intelligent Informatics for Safety & Emergency of Zhejiang Province, Wenzhou University, Wenzhou, 325035, China.
| | - Ying Zhou
- Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China; Institute of Chronic Nephropathy, Wenzhou Medical University, Wenzhou, 325000, China.
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Weng M, Fu B, Zhuo Y, Lin J, Zou Z, Chen Y, Cui J, Li G, Chen C, Xu Y, Jiang D, Wan J. Association of time-averaged serum uric acid level with clinicopathological information and long-term outcomes in patients with IgA nephropathy. PeerJ 2024; 12:e17266. [PMID: 38650643 PMCID: PMC11034505 DOI: 10.7717/peerj.17266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 03/28/2024] [Indexed: 04/25/2024] Open
Abstract
Objective Whether serum uric acid (SUA) at baseline could been identiûed as a risk factor for progression in IgA nephropathy (IgAN) patients remains unclear, therefore, long- term SUA control levels must be monitored. We aimed to investigate the relevant factors affecting time-averaged SUA (TA-SUA) and to assess the prognostic value of TA-SUA in IgAN. Methods This retrospective study included 152 patients with IgAN. The relationships between TA-SUA and clinicopathological features and renal outcomes (defined as the doubling of the baseline serum creatinine level or end-stage renal disease) were analyzed in groups divided by quartiles of TA-SUA levels, the presence of hyperuricemia, and sex. Results Patients with high TA-SUA levels had higher levels of baseline SUA, blood urea nitrogen (BUN), triglycerides, serum C3 and serum C4 and were more likely to be male and have hypertension, proteinuria, poor renal function, and pathological injuries including high grades of tubular atrophy/interstitial fibrosis (T1-T2). These patients had a poorer prognosis compared with patients with low TA-SUA levels. The TA-SUA level was positively correlated with baseline age and BUN, triglycerides, serum C3, and serum C4 levels, and negatively correlated with baseline eGFR. Survival curve analysis indicated that persistent hyperuricemia was associated with significantly poorer renal outcomes than normo-uricemia in both men and women. The TA-SUA level also was an independent predictor of renal outcome in patients with IgAN, with optimal cutoû values of 451.38 µmol/L (area under the curve (AUC) = 0.934) for men and 492.83 µmol/L (AUC = 0.768) for women. Conclusions The TA-SUA level is associated with triglyceride level, complement component levels, renal function, and pathological severity of IgAN, and it may be a prognostic indicator in male and female patients with IgAN.
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Affiliation(s)
- Mengjie Weng
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Binbin Fu
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Yongjie Zhuo
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Jiaqun Lin
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Zhenhuan Zou
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Yi Chen
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Jiong Cui
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Guifen Li
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Caiming Chen
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Yanfang Xu
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Dewen Jiang
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Jianxin Wan
- Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Metabolic Chronic Kidney Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Nephrology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
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Yu Y, Zheng J, Li J, Li X, Liu Z, Yang R, Hong H, Zhang J. Serum uric acid level is associated with glomerular ischemic lesions in patients with primary membranous nephropathy: an analytical, cross-sectional study. Sci Rep 2024; 14:7457. [PMID: 38548844 PMCID: PMC10978902 DOI: 10.1038/s41598-024-57813-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 03/21/2024] [Indexed: 04/01/2024] Open
Abstract
To investigate the relationship between serum uric acid level and glomerular ischemic lesions (GIL) in patients with primary membranous nephropathy (PMN) and identify relevant risk factors. A total of 201 patients with PMN but normal renal function confirmed by renal biopsy executed in the Liaocheng People's Hospital, China, during January 2020-January 2023 were analyzed retrospectively. The enrolled patients were divided into a hyperuricemia group and a normal serum uric acid group (control group) according to their serum uric acid levels. Then, the participants were further divided into a non-GIL group or a GIL group based on the patient's renal biopsy results. The two groups' clinical and pathological data and meaningful indicators for differences were analyzed by binary logistic regression analysis. Additionally, the serum uric acid level prediction value on GIL was investigated using receiver operating characteristic (ROC) curves. Compared with the control group, the hyperuricemia group exhibited high serum uric acid, the prevalence of GIL, serum albumin, the prevalence of hypertension, and low-density lipoprotein cholesterol (LDL) levels (P < 0.05). Compared with the non-GIL group, the GIL group exhibited were older, had enhanced serum uric acid, serum albumin, and an increased prevalence of tubular atrophy/interstitial fibrosis (TA/IF), arteriolosclerosis, and low eGFR levels (P < 0.05). The binary logistic regression analysis revealed that the serum uric acid and the TA/IF are independent risk factors of GIL (P < 0.05). The AUC of ROC of GIL of PMN patients, predicted based on the serum uric acid concentration, was 0.736 (P < 0.05), wherein the threshold = 426.5 μmol/L and the Youden's index = 0.41. Serum uric acid concentration and the TA/IF are independent risk factors of GIL in patients with PMN, and the former exhibits prediction value on GIL in patients with PMN.
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Affiliation(s)
- Yamin Yu
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China
| | - Juan Zheng
- Department of Joint Laboratory for Translational Medicine Research, Liaocheng People's Hospital, Liaocheng, People's Republic of China
| | - Jie Li
- Department of Nephrology, Liaocheng People's Hospital, Liaocheng, People's Republic of China
| | - Xiuzhen Li
- Department of Nephrology, Liaocheng People's Hospital, Liaocheng, People's Republic of China
| | - Zewei Liu
- Department of Nephrology, Liaocheng People's Hospital, Liaocheng, People's Republic of China
| | - Ruiheng Yang
- Department of Nephrology, Liaocheng People's Hospital, Liaocheng, People's Republic of China
| | - Hong Hong
- Department of Nephrology, Liaocheng People's Hospital, Liaocheng, People's Republic of China
| | - Junjun Zhang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
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Wu S, Xue W, Yu H, Yu H, Shi Z, Wang L, Peng A. Serum uric acid levels and health outcomes in CKD: a prospective cohort study. Nephrol Dial Transplant 2024; 39:510-519. [PMID: 37698875 DOI: 10.1093/ndt/gfad201] [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: 05/30/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Hyperuricemia is prevalent in individuals with chronic kidney disease (CKD). Elevated serum uric acid (SUA) concentrations have been considered an independent risk factor for the onset of CKD. However, the relationship between SUA concentrations and long-term health outcomes among patients with CKD remains unclear. METHODS We performed a prospective cohort study with nationally representative sample to investigate the relationship between SUA concentrations and mortality risk including all-cause, cardiovascular disease (CVD) and cancer mortality, among patients with CKD. The weighted restricted cubic spline analyses combined with the multivariate-adjusted Cox proportional hazard models were used to test the nonlinearity of relationship. RESULTS The 6642 patients participating in National Health and Nutrition Examination Survey 1999-2018 were enrolled. During 656 885 person-months of follow-up time, 2619 all-cause deaths were recorded, including 1030 CVD deaths and 458 cancer deaths. Our study presented J-shaped non-linear relationships between SUA concentrations and all-cause and CVD mortality with inflection points at 311.65 μmol/L and 392.34 μmol/L, respectively. When SUA concentration was higher than those inflection points, every increase of 50 μmol/L SUA was associated with 11.7% and 17.0% greater multivariable-adjusted hazard ratio of all-cause and CVD mortality, respectively. In addition, a negative linear correlation with cancer mortality was detected. CONCLUSION These findings suggested that maintaining appropriate SUA concentrations may improve long-term health outcomes among CKD patients. The corresponding inflection points of J-shaped non-linear relationships were 311.65 and 392.34 μmol/L for all-cause and CVD mortality. Further clinical trials are required to investigate uric acid-lowering targets.
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Affiliation(s)
- Shijie Wu
- Center for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Wen Xue
- Center for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Hanqing Yu
- Center for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Hanjie Yu
- Center for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Zhaoqiang Shi
- Center for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Ling Wang
- Center for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Ai Peng
- Center for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, PR China
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Hu BY, Zhao YL, Xu Y, Wang XN, Luo XD. New Lupanes from Alstonia scholaris Reducing Uric Acid Level. PLANTA MEDICA 2023. [PMID: 37857337 DOI: 10.1055/a-2186-3260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Twelve lupanes including three new compounds named alstoscholarilups A-C (1: -3: ) were isolated from the leaves of Alstonia scholaris. Their structures were elucidated by spectroscopic analysis and ECD calculation. Structurally, compound 1: with a rare A ring-seco skeleton formed lactone and degraded C-3, while 2: with a 28-nor and 3: with a 29-nor-lupane skeleton supported the phytochemical diversity and novelty of the plant. Pharmacologically, compounds 4, 7: , and 10: reduced the serum uric acid (UA) levels of mice significantly.
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Affiliation(s)
- Bin-Yuan Hu
- Yunnan Characteristic Plant Extraction Laboratory, Key Laboratory of Medicinal Chemistry for Natural Resource, Ministry of Education and Yunnan Province, School of Chemical Science and Technology, Yunnan University, Kunming, P. R. China
| | - Yun-Li Zhao
- Yunnan Characteristic Plant Extraction Laboratory, Key Laboratory of Medicinal Chemistry for Natural Resource, Ministry of Education and Yunnan Province, School of Chemical Science and Technology, Yunnan University, Kunming, P. R. China
| | - Yuan Xu
- Yunnan Characteristic Plant Extraction Laboratory, Key Laboratory of Medicinal Chemistry for Natural Resource, Ministry of Education and Yunnan Province, School of Chemical Science and Technology, Yunnan University, Kunming, P. R. China
| | - Xiao-Na Wang
- Yunnan Characteristic Plant Extraction Laboratory, Key Laboratory of Medicinal Chemistry for Natural Resource, Ministry of Education and Yunnan Province, School of Chemical Science and Technology, Yunnan University, Kunming, P. R. China
| | - Xiao-Dong Luo
- Yunnan Characteristic Plant Extraction Laboratory, Key Laboratory of Medicinal Chemistry for Natural Resource, Ministry of Education and Yunnan Province, School of Chemical Science and Technology, Yunnan University, Kunming, P. R. China
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, P. R. China
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Xu Y, Zheng X, Zhuang H, Liao H, Mo Y, Jiang X, Li W. Hyperuricemia is associated with the progression of IgA nephropathy in children. Pediatr Res 2023; 94:1057-1066. [PMID: 36914808 DOI: 10.1038/s41390-023-02538-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 01/08/2023] [Accepted: 02/06/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND The objective of the study was to explore the potential biomarkers and risk factors in children with immunoglobulin A nephropathy (IgAN). METHODS Untargeted metabolomics analysis was performed on children with IgAN before and after treatment. Subsequently, a retrospective study involving the past 15 years and a follow-up study were performed to verify the role of hyperuricemia in IgAN children. RESULTS Serum metabolomics analyses showed that levels of serum xanthosine were closely related to the outcome of IgAN, and KEGG analyses showed that differential metabolites were significantly enriched in purine metabolism. Furthermore, retrospectively analyses of 252 children with IgAN showed that hyperuricemia was associated with poorer renal outcome. Logistic regression analysis showed that BMI, serum creatinine, eGFR, Lee's grade III, and crescents were risk factors of hyperuricemia in children with IgAN. Kaplan-Meier analysis revealed that kidney progression-free survival in IgAN children with hyperuricemia was lower than that without hyperuricemia, especially in females. CONCLUSIONS We first performed a dynamic metabolomics study to reveal that hyperuricemia is closely related to the progression of IgAN in children. Then retrospective and follow-up studies confirmed that hyperuricemia is an important risk factor for poor renal outcomes. We need to pay more attention to the hyperuricemia in children with IgAN. IMPACT We first performed a dynamic metabolomics study to reveal that hyperuricemia was closely related to the progression of IgAN in children. Retrospective analyses in past 15 years confirmed that IgAN children with hyperuricemia had poorer renal function and worse renal pathology. The BMI, Scr, eGFR, Lee's grade III, and crescents were risk factors of hyperuricemia in children with IgAN. The long-term follow-up study showed that hyperuricemia was an important risk factor for poor renal outcome in children with IgAN. We need to pay more attention to hyperuricemia in children with IgAN, especially in females.
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Affiliation(s)
- Yuanyuan Xu
- Department of Pediatric Nephrology and Rheumatology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaohong Zheng
- Department of Pediatric Nephrology and Rheumatology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hongjie Zhuang
- Department of Pediatric Nephrology and Rheumatology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hongyi Liao
- Division of Joint Surgery, Department of Orthopaedic Surgery, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ying Mo
- Department of Pediatric Nephrology and Rheumatology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
| | - Xiaoyun Jiang
- Department of Pediatric Nephrology and Rheumatology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
| | - Wen Li
- Laboratory of General Surgery, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
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Zhang K, Tang L, Jiang SS, Wang YF, Meng Y, Wang MD, Cui FQ, Cai Z, Zhao WJ. Is hyperuricemia an independent prognostic factor for IgA nephropathy: a systematic review and meta-analysis of observational cohort studies. Ren Fail 2022; 44:70-80. [PMID: 35156903 PMCID: PMC8856039 DOI: 10.1080/0886022x.2021.2019589] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
Affiliation(s)
- Kang Zhang
- Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Long Tang
- Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Shang-shang Jiang
- Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Yue-fen Wang
- Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Yuan Meng
- Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Meng-di Wang
- Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Fang-qiang Cui
- Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Zhen Cai
- Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Wen-jing Zhao
- Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
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