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Ischemic stroke is associated with the pro-inflammatory potential of N-glycosylated immunoglobulin G

Overview of attention for article published in Journal of Neuroinflammation, April 2018
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Title
Ischemic stroke is associated with the pro-inflammatory potential of N-glycosylated immunoglobulin G
Published in
Journal of Neuroinflammation, April 2018
DOI 10.1186/s12974-018-1161-1
Pubmed ID
Authors

Di Liu, Zhongyao Zhao, Anxin Wang, Siqi Ge, Hao Wang, Xiaoyu Zhang, Qi Sun, Weijie Cao, Ming Sun, Lijuan Wu, Manshu Song, Yong Zhou, Wei Wang, Youxin Wang

Abstract

Glycosylation significantly affects protein structure and function and thus participates in multiple physiologic and pathologic processes. Studies demonstrated that immunoglobulin G (IgG) N-glycosylation associates with the risk factors of ischemic stroke (IS), such as aging, obesity, dyslipidemia, type 2 diabetes, and hypertension. The study aimed to investigate the association between IgG N-glycosylation and IS in a Chinese population. IgG glycome composition in patients with IS (n = 78) and cerebral arterial stenosis (CAS) (n = 75) and controls (n = 77) were analyzed by ultra-performance liquid chromatography. Eleven initial glycans and 10 derived glycans in IgG glycome representing galactosylation, sialylation, and bisecting GlcNAc significantly differed between IS patients and CAS and healthy controls after controlling for gender, age, obesity, diabetes, hypertension, and dyslipidemia. Logistic regression models incorporating IgG glycan traits were able to distinguish IS from CAS (area under receiver-operator characteristic curves (AUC), 0.802; 95% confidence interval (CI), 0.732-0.872) and controls (AUC, 0.740; 95% CI, 0.661-0.819). The canonical correlation analysis indicated that initial N-glycan structures are significantly correlated with inflammation markers (r = 0.566, p < 0.001). Our findings indicated that loss of galactose and sialic acid, as well as addition of bisecting GlcNAc, might involve in pro- or anti-inflammatory IgG functionality and further contribute to the pathogenesis of IS. IgG glycan profiles may be developed as clinical useful biomarkers for chronic disease in the future.

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The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Researcher 10 18%
Student > Bachelor 8 15%
Student > Master 3 5%
Other 2 4%
Other 6 11%
Unknown 16 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 22%
Medicine and Dentistry 10 18%
Agricultural and Biological Sciences 5 9%
Psychology 2 4%
Immunology and Microbiology 1 2%
Other 6 11%
Unknown 19 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 October 2022.
All research outputs
#6,097,623
of 23,884,161 outputs
Outputs from Journal of Neuroinflammation
#1,078
of 2,769 outputs
Outputs of similar age
#101,751
of 329,938 outputs
Outputs of similar age from Journal of Neuroinflammation
#29
of 82 outputs
Altmetric has tracked 23,884,161 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,769 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,938 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.