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Pregled bibliografske jedinice broj: 856129

Profiling IgG N-glycans as potential biomarker of chronological and biological ages : A community-based study in a Han Chinese population


Yu Xinwei; Wang Youxin; Krištić Jasminka; Dong Jing; Chu Xi; Ge Siqi; Wang Hao; Fang Honghong; Gao Qing; Liu ći et al.
Profiling IgG N-glycans as potential biomarker of chronological and biological ages : A community-based study in a Han Chinese population // Medicine, 95 (2016), 28; e4112, 10 doi:10.1097/MD.0000000000004112 (međunarodna recenzija, članak, znanstveni)


Naslov
Profiling IgG N-glycans as potential biomarker of chronological and biological ages : A community-based study in a Han Chinese population

Autori
Yu Xinwei ; Wang Youxin ; Krištić Jasminka ; Dong Jing ; Chu Xi ; Ge Siqi ; Wang Hao ; Fang Honghong ; Gao Qing ; Liu ći ; Zhao Zhongyao ; Peng Hongli ; Pučić Baković, Maja ; Wu Lijuan ; Song Manshu ; Rudan, Igor ; Campbell Harry ; Lauc Gordan ; Wang Wei

Izvornik
Medicine (0025-7974) 95 (2016), 28; E4112, 10

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Biological age, biomarker, chronological age, immunoglobulin G, N-glycan

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti



POVEZANOST RADA


Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka:


  • DOAJ
  • Europe PMC
  • JCReports
  • Ovid


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