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IgG3 collaborates with IgG1 and IgA to recruit effector function in RV144 vaccinees
Stephanie Fischinger, Sepideh Dolatshahi, Madeleine F. Jennewein, Supachai Rerks-Ngarm, Punnee Pitisuttithum, Sorachai Nitayaphan, Nelson Michael, Sandhya Vasan, Margaret E. Ackerman, Hendrik Streeck, Galit Alter
Stephanie Fischinger, Sepideh Dolatshahi, Madeleine F. Jennewein, Supachai Rerks-Ngarm, Punnee Pitisuttithum, Sorachai Nitayaphan, Nelson Michael, Sandhya Vasan, Margaret E. Ackerman, Hendrik Streeck, Galit Alter
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Research Article AIDS/HIV Vaccines

IgG3 collaborates with IgG1 and IgA to recruit effector function in RV144 vaccinees

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Abstract

While the RV144 HIV vaccine trial led to moderately reduced risk of HIV acquisition, emerging data from the HVTN702 trial point to the critical need to reexamine RV144-based correlates of reduced risk of protection. While in RV144, the induction of V2-binding, non-IgA, IgG3 antibody responses with nonneutralizing functions were linked to reduced risk of infection, the interactions between these signatures remain unclear. Thus, here we comprehensively profile the humoral immune response in 300 RV144 vaccinees to decipher the relationships between humoral biomarkers of protection. We found that vaccine-specific IgG1, IgG3, and IgA were highly correlated. However, ratios of IgG1:IgG3:IgA provided insights into subclass/isotype polyclonal functional regulation. For instance, in the absence of high IgG1 levels, IgG3 antibodies exhibited limited functional activity, pointing to IgG3 as a critical contributor, but not sole driver, of effective antiviral humoral immunity. Higher IgA levels were linked to enhanced antibody effector function, including neutrophil phagocytosis (ADNP), complement deposition (ADCD), and antibody-dependent NK degranulation (CD107a), some of which were increased in infected vaccinees in a case/control data set, suggesting that IgA-driven functions compromised immunity. These data highlight the interplay between IgG1, IgG3, and IgA, pointing to the need to profile the relationships between subclass/isotype selection.

Authors

Stephanie Fischinger, Sepideh Dolatshahi, Madeleine F. Jennewein, Supachai Rerks-Ngarm, Punnee Pitisuttithum, Sorachai Nitayaphan, Nelson Michael, Sandhya Vasan, Margaret E. Ackerman, Hendrik Streeck, Galit Alter

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Figure 2

IgG1, IgG3, and IgA are correlated with the induction of effector functions.

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IgG1, IgG3, and IgA are correlated with the induction of effector functi...
(A–C) Three hundred RV144 vaccinees were sorted by their ADCP, ADNP, ADCD, and NK cell (degranulation: %CD107a, %IFN-γ, and %MIP-1β) functional responses against gp120 MN, the vaccine boost antigen depicted in the shaded area of the graph. IgG1 (red) (A), IgG3 (B), and IgA1 (C) levels are depicted in the line to the same antigen. (D) The correlation scatter plot represents the relationship between all Fc-effector functions across all vaccinees. R values (Spearman’s correlation) are shown, and best fit line is indicated in red. (E) The heatmap shows a pairwise Spearman’s correlation matrix, Bonferroni corrected for multiple comparisons between effector functions and antibody titers against the gp120 MN antigen. Red represents a positive correlation, whereas blue indicates a negative correlation. Adjusted P value; ***P < 0.01, ****P < 0.0001).

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