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Profiling IgG N-glycans as potential biomarker of chronological and biological ages: A community-based study in a Han Chinese population
ECU Publications Post 2013
  • Xinwei Yu, Edith Cowan University
  • Youix Wang, Edith Cowan University
  • Jasminka Krištić, Glycobiology Laboratory, Zagreb, Croatia
  • Jing Dong, Xuanwu Hospital Capital Medical University
  • Xi Chu, Xuanwu Hospital Capital Medical University
  • Siqi Ge, Edith Cowan University
  • Hao Wang, Changhai Hospital
  • Honghong Fang, Capital Medical University China
  • Qing Gao, Capital Medical University China
  • Di Lui, Capital Medical University China
  • Zhongya Zhao, Capital Medical University China
  • Hongli Peng, Capital Medical University China
  • Maja P. Baković, Glycobiology Laboratory, Zagreb, Croatia
  • Lijuan Wu, Capital Medical University China
  • Manshu Song, Capital Medical University China
  • Igor Rudan, The University of Edinburgh
  • Harry Campbell, University of Edinburgh
  • Gordan Lauc, Sveuciliste u Zagrebu, Farmaceutsko Biokemijski Fakultet
  • Wei Wang, Edith Cowan University
Publication Date
1-1-2015
Document Type
Journal Article
Publisher
Wolters Kluwer Health
School
School of Medical and Health Sciences
RAS ID
22892
Comments

Originally published as: Yu, X., Wang, Y., Kristic, J., Dong, J., Chu, X., Ge, S., ... Wang, W. (2016). Profiling IgG N-glycans as potential biomarker of chronological and biological ages: A community-based study in a Han Chinese population. Medicine, 95(28), Article number e4112. doi:10.1097/md.0000000000004112. Available here

Abstract

As an important post-translation modifying process, glycosylation significantly affects the structure and function of immunoglobulin G (IgG) molecules and is essential in many steps of the inflammatory cascade. Studies have demonstrated the potential of using glycosylation features of IgG as a component of predictive biomarkers for chronological age in several European populations, whereas no study has been reported in Chinese. Herein, we report various patterns of changes in IgG glycosylation associated with age by analyzing IgG glycosylation in 701 community-based Han Chinese (244 males, 457 females; 23-68 years old). Eleven IgG glycans, including FA2B, A2G1, FA2[6]G1, FA2[3]G1, FA2[6]BG1, FA2[3]BG1, A2G2, A2BG2, FA2G2, FA2G2S1, and FA2G2S2, change considerably with age and specific combinations of these glycan features can explain 23.3% to 45.4% of the variance in chronological age in this population. This indicates that these combinations of glycan features provide more predictive information than other single markers of biological age such as telomere length. In addition, the clinical traits such as fasting plasma glucose and aspartate aminotransferase associated with biological age are strongly correlated with the combined glycan features. We conclude that IgG glycosylation appears to correlate with both chronological and biological ages, and thus its possible role in the aging process merits further study

DOI
10.1097/MD.0000000000004112
Creative Commons License
Creative Commons Attribution-Noncommercial 4.0
Citation Information
Xinwei Yu, Youix Wang, Jasminka Krištić, Jing Dong, et al.. "Profiling IgG N-glycans as potential biomarker of chronological and biological ages: A community-based study in a Han Chinese population" United States(2015)
Available at: http://works.bepress.com/jing_dong/13/