The human immunodeficiency virus (HIV) infects ~5,000 new people daily. Only a small population of infected individuals are natural viral controllers. The goal of this project was to determine humoral factors that correlate to HIV controller versus progressor status. Multivariate and univariate data analyses compared HIV-specific IgG subclasses and antibody-dependent effector functions of controllers and progressors measured at acute infection. Multivariate approaches were effective in differentiating controllers from progressors, suggesting no single antibody feature is predictive of disease control.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Dickinson, Kylie Ann

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042519-133105

Advisor

• Ryder, Elizabeth F.

Year

• 2019

Sponsor

• The Ragon Institute

Date created

• 2019-04-25

Resource type

• Major Qualifying Project

Major

• Bioinformatics & Computational Biology

Rights statement

• In Copyright