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Decoding the Human Immunoglobulin G-Glycan Repertoire Reveals a Spectrum of Fc-Receptor- and Complement-Mediated-Effector Activities

Overview of attention for article published in Frontiers in immunology, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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2 news outlets
blogs
1 blog
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8 X users

Citations

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279 Dimensions

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243 Mendeley
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Title
Decoding the Human Immunoglobulin G-Glycan Repertoire Reveals a Spectrum of Fc-Receptor- and Complement-Mediated-Effector Activities
Published in
Frontiers in immunology, August 2017
DOI 10.3389/fimmu.2017.00877
Pubmed ID
Authors

Gillian Dekkers, Louise Treffers, Rosina Plomp, Arthur E. H. Bentlage, Marcella de Boer, Carolien A. M. Koeleman, Suzanne N. Lissenberg-Thunnissen, Remco Visser, Mieke Brouwer, Juk Yee Mok, Hanke Matlung, Timo K. van den Berg, Wim J. E. van Esch, Taco W. Kuijpers, Diana Wouters, Theo Rispens, Manfred Wuhrer, Gestur Vidarsson

Abstract

Glycosylation of the immunoglobulin G (IgG)-Fc tail is required for binding to Fc-gamma receptors (FcγRs) and complement-component C1q. A variety of IgG1-glycoforms is detected in human sera. Several groups have found global or antigen-specific skewing of IgG glycosylation, for example in autoimmune diseases, viral infections, and alloimmune reactions. The IgG glycoprofiles seem to correlate with disease outcome. Additionally, IgG-glycan composition contributes significantly to Ig-based therapies, as for example IVIg in autoimmune diseases and therapeutic antibodies for cancer treatment. The effect of the different glycan modifications, especially of fucosylation, has been studied before. However, the contribution of the 20 individual IgG glycoforms, in which the combined effect of all 4 modifications, to the IgG function has never been investigated. Here, we combined six glyco-engineering methods to generate all 20 major human IgG1-glycoforms and screened their functional capacity for FcγR and complement activity. Bisection had no effect on FcγR or C1q-binding, and sialylation had no- or little effect on FcγR binding. We confirmed that hypo-fucosylation of IgG1 increased binding to FcγRIIIa and FcγRIIIb by ~17-fold, but in addition we showed that this effect could be further increased to ~40-fold for FcγRIIIa upon simultaneous hypo-fucosylation and hyper-galactosylation, resulting in enhanced NK cell-mediated antibody-dependent cellular cytotoxicity. Moreover, elevated galactosylation and sialylation significantly increased (independent of fucosylation) C1q-binding, downstream complement deposition, and cytotoxicity. In conclusion, fucosylation and galactosylation are primary mediators of functional changes in IgG for FcγR- and complement-mediated effector functions, respectively, with galactose having an auxiliary role for FcγRIII-mediated functions. This knowledge could be used not only for glycan profiling of clinically important (antigen-specific) IgG but also to optimize therapeutic antibody applications.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 243 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 27%
Researcher 37 15%
Student > Master 31 13%
Student > Bachelor 25 10%
Student > Doctoral Student 7 3%
Other 23 9%
Unknown 55 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 20%
Immunology and Microbiology 40 16%
Agricultural and Biological Sciences 27 11%
Medicine and Dentistry 23 9%
Chemistry 8 3%
Other 27 11%
Unknown 69 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 31 December 2023.
All research outputs
#1,521,369
of 26,559,762 outputs
Outputs from Frontiers in immunology
#1,374
of 33,377 outputs
Outputs of similar age
#28,393
of 332,898 outputs
Outputs of similar age from Frontiers in immunology
#23
of 433 outputs
Altmetric has tracked 26,559,762 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,377 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 95% 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 332,898 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 433 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.