# Immune Responses to Malaria, HIV and SARS-CoV-2 Infection and Immunization - Clinical Core

> **NIH NIH U19** · SEATTLE CHILDREN'S HOSPITAL · 2024 · $198,000

## Abstract

The Clinical Core will continue to provide the leadership and expertise in clinical infectious diseases and human
subjects research to support the HIPC3 and our collaboration’s three scientific projects focused on
comprehensive immune analysis of malaria, HIV-1 and SARS-CoV-2 prevention and infection. Based within the
Vaccine and Infectious Disease Division at Fred Hutchinson Cancer Research Center, the Clinical Core will
establish, conduct and oversee clinical cohort observational studies and human immunology studies nested
within clinical vaccine trials in order to obtain longitudinal specimens for deep immune profiling investigations.
To accomplish our goals, we propose to provide the clinical infrastructure, leadership, expertise and to conduct
human subjects research in infectious diseases on behalf of our HIPC3 Collaboration through observational
studies and sub-studies nested within existing and future clinical trials. We also aim to design, develop,
implement and maintain well-curated clinical cohorts and vaccine trial sub-studies to acquire specimens for
immune profiling studies relevant to malaria, HIV-1 and SARS-CoV-2, either during or after infection, or before
and after immunization.

## Key facts

- **NIH application ID:** 10841537
- **Project number:** 5U19AI128914-09
- **Recipient organization:** SEATTLE CHILDREN'S HOSPITAL
- **Principal Investigator:** Margaret Juliana McElrath
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $198,000
- **Award type:** 5
- **Project period:** 2017-07-19 → 2027-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10841537

## Citation

> US National Institutes of Health, RePORTER application 10841537, Immune Responses to Malaria, HIV and SARS-CoV-2 Infection and Immunization - Clinical Core (5U19AI128914-09). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10841537. Licensed CC0.

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