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Hyperuricemia is Associated with Immunoglobulin G N-Glycosylation: A Community-Based Study of Glycan Biomarkers.

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机构: [1]School of Public Health, Taishan Medical University, Taian, China. [2]Taishan Hospital of Shandong Province, Taian, China. [3]Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China. [4]Department of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, China. [5]Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, School of Pharmacy, Xuzhou Medical University, Xuzhou, China. [6]Beijing Neurosurgical Institute, Capital Medical University, Beijing, China. [7]School of Medical and Health Sciences, Edith Cowan University, Perth, Australia. [8]Clinical Laboratory, Lianyungang Municipal Oriental Hospital, Lianyungang, China.
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The increasing prevalence of hyperuricemia has been recognized as an emerging public health concern in both developed and developing countries. Hyperuricemia is a metabolic condition characterized by an elevated serum uric acid, and associated with renal damage, diabetes, autoimmune disorders, and cardiovascular diseases. Although human genetic variation has been recognized as a factor, posttranslational cellular processes and glycan biomarkers have not been studied extensively for susceptibility to hyperuricemia. We evaluated whether immunoglobulin (Ig)G N-glycans play a role in hyperuricemia in the general population. This cross-sectional study enrolled 635 participants (208 men and 427 women), ages ≥18 years, from a community-based population in Beijing, China. The IgG N-glycan composition of serum was analyzed by an ultraperformance liquid chromatography method. The prevalence of hyperuricemia observed in this sample was 5.98% (14.9% in men and 1.6% in women). Serum uric acid level was positively correlated with glycan peaks (GP)1, GP2, GP4, GP6, GP10, and GP11, whereas it was negatively correlated with GP12, GP13, GP14, GP15, GP18, and GP20. The combination of GP9, GP10, body mass index, and gender distinguished individuals with hyperuricemia from subjects without hyperuricemia, with an area under the curve value of 0.849 (95% confidence interval: 0.784-0.915). These findings collectively suggest a possible link between hyperuricemia and IgG N-glycans, which might be potentially mediated through inflammation-related mechanisms. Additional research on glycan biomarkers in independent and community-based population samples might allow the development of glycan diagnostics for hyperuricemia and gout in the future.

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出版当年[2018]版:
大类 | 3 区 生物
小类 | 3 区 生物工程与应用微生物 3 区 遗传学
最新[2023]版:
大类 | 3 区 生物学
小类 | 3 区 生物工程与应用微生物 4 区 遗传学
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出版当年[2017]版:
Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Q3 GENETICS & HEREDITY
最新[2023]版:
Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Q3 GENETICS & HEREDITY

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者机构: [1]School of Public Health, Taishan Medical University, Taian, China.
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通讯机构: [1]School of Public Health, Taishan Medical University, Taian, China. [3]Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China. [*1]Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen Xitoutiao, Beijing 100069, China [*2]School of Public Health, Taishan Medical University, 619 Changcheng Road, Taian 271000, China
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