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Cited by 408

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Immunoglobulin G glycosylation in aging and diseases

Open access
Gudelj, Ivan, Lauc, Gordan, Pezer, Marija·2018·Cellular Immunology

Abstract

The Immunoglobulin G (IgG) glycome is well known for its heterogeneity and shows a significant degree of variation within populations. IgG glycome composition is influenced both by genes and by environment, making it an excellent biomarker of a person's general health state, i.e. biological age. IgG glycosylation appears to be highly regulated, both during homeostasis and in cases of its disturbance. Changes in IgG glycosylation patterns have been observed in aging and in various diseases. Differential IgG glycosylation is known to modulate IgG effector functions and is involved in disease development and progression, representing both a predisposition and a functional mechanism involved in disease pathology. This makes IgG glycosylation analysis a promising add-on to improve existing disease biomarkers.

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Metadata

Authors
Gudelj, I., Lauc, G., & Pezer, M.
Venue
Cellular Immunology
Publisher
Elsevier BV
Published
2018-11
Volume
333
Pages
65-79
ISSN
0008-8749 (ISSN-L)
OpenAlex
W2884678658
Cited by
408
References
18
FWCI
11.77
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Immunoglobulin G glycosylation in aging and diseases. https://app.cochat.ai/papers/10.1016/j.cellimm.2018.07.009
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Gudelj, I., Lauc, G., & Pezer, M. (2018). Immunoglobulin G glycosylation in aging and diseases. Cellular Immunology. https://doi.org/10.1016/j.cellimm.2018.07.009

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.