N-Glycosylation Profiles of Immunoglobulin G and Future Cardiovascular Events

被引:2
|
作者
Hoshi, Rosangela A. [1 ,2 ,3 ,9 ]
Plavsa, Branimir [4 ]
Liu, Yanyan [1 ,3 ]
Trbojevic-Akmacic, Irena [5 ]
Glynn, Robert J. [3 ]
Ridker, Paul M. [2 ,3 ]
Cummings, Richard D. [6 ]
Gudelj, Ivan [5 ,7 ]
Lauc, Gordan [4 ,5 ]
Demler, Olga V. [1 ,3 ,8 ]
Mora, Samia [1 ,2 ,3 ]
机构
[1] Brigham & Womens Hosp, Ctr Lipid Metabol, Harvard Med Sch, Boston, MA USA
[2] Harvard Med Sch, Brigham & Womens Hosp, Div Cardiovasc Med, Boston, MA USA
[3] Harvard Med Sch, Brigham & Womens Hosp, Div Prevent Med, Boston, MA USA
[4] Univ Zagreb, Fac Pharm & Biochem, Zagreb, Croatia
[5] Genos Glycosci Res Lab, Zagreb, Croatia
[6] Beth Israel Deaconess Med Ctr, Harvard Med Sch, Dept Surg, Boston, MA USA
[7] Univ Rijeka, Dept Biotechnol, Rijeka, Croatia
[8] Swiss Fed Inst Technol, Comp Sci Dept, Zurich, Switzerland
[9] Ctr Lipid Metabol, Div Prevent & Cardiovasc Med, 900 Commonwealth Ave, Boston, MA 02215 USA
关键词
cardiovascular diseases; glycosylation; immunoglobulin G; inflammation; risk factors; C-REACTIVE PROTEIN; DENSITY-LIPOPROTEIN CHOLESTEROL; RISK PREDICTION; STATIN THERAPY; VASCULAR EVENTS; IGG; MARKERS; INFLAMMATION; PREVENTION; DISEASE;
D O I
10.1161/CIRCRESAHA.123.323623
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
<bold>Background: </bold>Posttranslational glycosylation of IgG can modulate its inflammatory capacity through structural variations. We examined the association of baseline IgG N-glycans and an IgG glycan score with incident cardiovascular disease (CVD). <bold>Methods: </bold>IgG N-glycans were measured in 2 nested CVD case-control studies: JUPITER (Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin; NCT00239681; primary prevention; discovery; Npairs=162); and TNT trial (Treating to New Targets; NCT00327691; secondary prevention; validation; Npairs=397). Using conditional logistic regression, we investigated the association of future CVD with baseline IgG N-glycans and a glycan score adjusting for clinical risk factors (statin treatment, age, sex, race, lipids, hypertension, and smoking) in JUPITER. Significant associations were validated in TNT, using a similar model further adjusted for diabetes. Using least absolute shrinkage and selection operator regression, an IgG glycan score was derived in JUPITER as a linear combination of selected IgG N-glycans. <bold>Results: </bold>Six IgG N-glycans were associated with CVD in both studies: an agalactosylated glycan (IgG-GP4) was positively associated, while 3 digalactosylated glycans (IgG glycan peaks 12, 13, 14) and 2 monosialylated glycans (IgG glycan peaks 18, 20) were negatively associated with CVD after multiple testing correction (overall false discovery rate <0.05). Four selected IgG N-glycans comprised the IgG glycan score, which was associated with CVD in JUPITER (adjusted hazard ratio per glycan score SD, 2.08 [95% CI, 1.52-2.84]) and validated in TNT (adjusted hazard ratio per SD, 1.20 [95% CI, 1.03-1.39]). The area under the curve changed from 0.693 for the model without the score to 0.728 with the score in JUPITER (PLRT=1.1x10(-6)) and from 0.635 to 0.637 in TNT (PLRT=0.017). <bold>Conclusions: </bold>An IgG N-glycan profile was associated with incident CVD in 2 populations (primary and secondary prevention), involving an agalactosylated glycan associated with increased risk of CVD, while several digalactosylated and sialylated IgG glycans associated with decreased risk. An IgG glycan score was positively associated with future CVD.
引用
收藏
页码:e3 / e14
页数:12
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