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Highly individual patterns of virus-immune IgG effector responses in humans

Overview of attention for article published in Medical Microbiology and Immunology, May 2016
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Title
Highly individual patterns of virus-immune IgG effector responses in humans
Published in
Medical Microbiology and Immunology, May 2016
DOI 10.1007/s00430-016-0457-y
Pubmed ID
Authors

Eugenia Corrales-Aguilar, Mirko Trilling, Henrike Reinhard, Valeria Falcone, Albert Zimmermann, Ortwin Adams, Sabine Santibanez, Hartmut Hengel

Abstract

IgG responses are fundamental to adaptive immunity and document immunological memory of previous pathogen encounter. While specific antigen recognition is mediated by the variable F(ab')2 domain of IgG, various effector functions become activated via the constant Fcγ part bridging IgG-opsonized targets to FcγR-expressing immune effector cells. Traditionally, neutralizing IgG is considered the most appropriate correlate of protective humoral immunity to viruses. However, evidence is increasing that antiviral IgG mediates protection to viruses via activation of FcγRs. Using a test system allowing quantitative detection of virus-immune IgG able to activate FcγRs, sera of healthy individuals and vaccinees were assessed with regard to two prototypical human pathogenic viruses: measles and human cytomegalovirus. Marked differences in the capacity of individuals to generate FcγRI-, FcγRII- and FcγRIII-activating responses were noted. Comparison of FcγR-activating IgG with neutralizing and ELISA IgG concentrations did not correlate for HCMV and only very poorly for MV. Since neither neutralizing IgG nor overall IgG responses faithfully predict the activation of FcγRs, only the simultaneous quantification of IgGs activating defined FcγRs will aid to delineate individual "immunograms" of virus IgG immunity. Such new multiparametric assessment of antiviral IgG qualities could be instrumental in defining correlates of protection and disease progression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Student > Bachelor 4 14%
Student > Ph. D. Student 4 14%
Student > Postgraduate 3 11%
Student > Doctoral Student 2 7%
Other 6 21%
Unknown 4 14%
Readers by discipline Count As %
Immunology and Microbiology 7 25%
Biochemistry, Genetics and Molecular Biology 5 18%
Medicine and Dentistry 5 18%
Agricultural and Biological Sciences 4 14%
Computer Science 1 4%
Other 0 0%
Unknown 6 21%