Natural variation in Fc glycosylation of HIV-specific antibodies impacts antiviral activity

0301 basic medicine Glycosylation Transcription, Genetic HIV Antigens Gene Expression Profiling 610 HIV Infections HIV Antibodies Virus Replication Immunity, Innate Mass Spectrometry Immunoglobulin Fc Fragments 3. Good health 03 medical and health sciences Gene Expression Regulation Polysaccharides Immunoglobulin G 616 Humans Protein Isoforms
DOI: 10.1172/jci65708 Publication Date: 2013-04-07T10:00:17Z
ABSTRACT
While the induction of a neutralizing antibody response against HIV remains a daunting goal, data from both natural infection and vaccine-induced immune responses suggest that it may be possible to induce antibodies with enhanced Fc effector activity and improved antiviral control via vaccination. However, the specific features of naturally induced HIV-specific antibodies that allow for the potent recruitment of antiviral activity and the means by which these functions are regulated are poorly defined. Because antibody effector functions are critically dependent on antibody Fc domain glycosylation, we aimed to define the natural glycoforms associated with robust Fc-mediated antiviral activity. We demonstrate that spontaneous control of HIV and improved antiviral activity are associated with a dramatic shift in the global antibody-glycosylation profile toward agalactosylated glycoforms. HIV-specific antibodies exhibited an even greater frequency of agalactosylated, afucosylated, and asialylated glycans. These glycoforms were associated with enhanced Fc-mediated reduction of viral replication and enhanced Fc receptor binding and were consistent with transcriptional profiling of glycosyltransferases in peripheral B cells. These data suggest that B cell programs tune antibody glycosylation actively in an antigen-specific manner, potentially contributing to antiviral control during HIV infection.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (43)
CITATIONS (319)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....