Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
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
View: Text | PDF
Research Article AIDS/HIV Vaccines

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

  • Text
  • PDF
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

×

Figure 5

IgA both blocks and drives effector activity.

Options: View larger image (or click on image) Download as PowerPoint
IgA both blocks and drives effector activity.
(A) The line graphs depict...
(A) The line graphs depict the overall functional activity of 40 IgA-depleted and undepleted plasma pairs across all 6 effector functions against gp120 MN. Top panel shows ADCP, ADNP, and ADCD assays; the lower panel compares the sample groups for NK cell functions (CD107a, IFN-γ, and MIP-1β). Pairwise t tests were used to compare differences across groups. *P < 0.05, **P < 0.01, ****P < 0.0001. (B) An MLPLSDA was used to define the specific features that most effectively provided resolution between the antibody profiles of the control and IgA-depleted plasma pairs. Dots represent individual samples (control, gray; IgA depleted, red). The orthogonalized approach ensured that latent variable 1 (LV1) captured the separation between IgA-depleted and undepleted antibody profiles, while LV2 captured the antibody profile variances that do not contribute to this separation. Five-fold CV was performed, resulting in 95% CV accuracy. (C) The bar graph shows the loadings on LV1, ordered by their enrichment in either IgA-depleted (right/red) or control (left/grey) profiles. Features were ordered based on their variable importance in projection (VIP) scores.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts