Immune response to COVID-19 vaccine in HIV infected men and women
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 5R01AI167711-02
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Key facts
Disease
COVID-19Start & end year
20212026Known Financial Commitments (USD)
$781,490Funder
National Institutes of Health (NIH)Principal Investigator
ASSISTANT PROFESSOR Robbie MailliardResearch Location
United States of AmericaLead Research Institution
UNIVERSITY OF PITTSBURGH AT PITTSBURGHResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Immunity
Special Interest Tags
Innovation
Study Type
Clinical
Clinical Trial Details
Not applicable
Broad Policy Alignment
Pending
Age Group
Adults (18 and older)
Vulnerable Population
Individuals with multimorbidityOther
Occupations of Interest
Unspecified
Abstract
ABSTRACT The CDC recommends that persons living with HIV (PWH) be vaccinated against SARS-CoV-2. However, there are minimal scientific data to support this important public health principle in relation to ongoing immune dysfunction and chronic comorbidities and the persistent HIV reservoir in antiretroviral treated (ART) PWH. We propose that a formal, comprehensive, longitudinal study in a well-characterized cohort of male and female PWH compared to HIV uninfected controls (HUC) is essential to assess the immunogenicity of COVID-19 vaccines in PWH. The MACS-WIHS Combined Cohort Study (MWCCS) is ideal for analyzing the interactive impact of chronic HIV infection on COVID-19 Pfizer and Moderna RNA-based vaccine immune responses to SARS-CoV-2 and the HIV reservoir. In Aim 1, we propose to conduct an in- depth analysis of antibody neutralizing function and B lymphocyte responses in 100 male PWH and 100 female vaccinated PWH, and 25 male and 25 female vaccinated HUC, from the MWCCS. In Aim 2, we will extensively characterize immune cell phenotypes, soluble markers, and functional cellular immune responses to SARS-CoV-2 vaccination in the participants from Aim 1 before and after vaccination. In Aim 3, we will evaluate the effects of COVID-19 vaccine on the persistent HIV reservoir (amount and composition, immune parameters) before and after immunization. Aim 4 applies machine learning approaches on the entire set of features quantified in Aims 1-3 to predict COVID-19 vaccine response outcomes and determine the critical parameters that influence vaccine responses. We believe that this study is unique, important, and critically timely for assessing the scientifically unprecedented, vaccine prevention phase of the COVID-19 pandemic in the context of HIV infection.