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

Abstract

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.

• Authors: Haifeng Hou, Xizhu Xu, Fengjing Sun, Xiaoyu Zhang, Hualei Dong, Liang Wang, Siqi Ge, Kang An, Qi Sun, Yuejin Li, Weijie Cao, Manshu Song, Shuangjie Hu, Weijia Xing, Wei Wang, Dong Li, Youxin Wang
• Journal: Omics : a journal of integrative biology (OMICS) Vol. 23 Issue 12 Pg. 660-667 (12 2019) ISSN: 1557-8100 [Electronic] United States
• PMID: 30835642 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Chemical References

• Biomarkers
• Immunoglobulin G
• Polysaccharides
• glycosylated IgG
• Uric Acid

Topics

• Adult
• Biomarkers (metabolism)
• Cross-Sectional Studies
• Female
• Humans
• Hyperuricemia (metabolism)
• Immunoglobulin G (metabolism)
• Male
• Middle Aged
• Polysaccharides (metabolism)
• Uric Acid (metabolism)