# Immune Responses to Malaria and HIV Infection and Immunization - Clinical Core

> **NIH NIH U19** · SEATTLE CHILDREN'S HOSPITAL · 2021 · $162,800

## Abstract

The Clinical Core, based within the Vaccine and Infectious Disease Division (VIDD) at Fred Hutchinson Cancer
Research Center (FHCRC), will provide relevant expertise in clinical medicine, human subjects research,
vaccine trials, and human immunology in support of the scientific aims of the Collaboration focused on the
prevention and control of malaria and HIV. In order to most efficiently support the diverse aims of Collaboration
projects, the CC will utilize a variety of resources including: 1) archived samples (e.g., cryopreserved PBMC,
serum, plasma) from study participants in relevant completed or ongoing clinical trials, which comprise the
primary source of clinical samples for Collaboration projects; 2) newly obtained samples from existing clinical
natural history and control cohorts and from specifically designed sub-studies to enable more comprehensive
analysis within ongoing or planned vaccine or treatment trials; and 3) samples acquired through the clinical
expertise of collaborating clinicians accomplished in the safe sampling of specialized immunological reservoirs
(e.g., bone marrow; lymph nodes; mucosa) using minimally invasive procedures in human volunteers.

## Key facts

- **NIH application ID:** 10198679
- **Project number:** 5U19AI128914-06
- **Recipient organization:** SEATTLE CHILDREN'S HOSPITAL
- **Principal Investigator:** Margaret Juliana McElrath
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $162,800
- **Award type:** 5
- **Project period:** 2017-07-19 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10198679

## Citation

> US National Institutes of Health, RePORTER application 10198679, Immune Responses to Malaria and HIV Infection and Immunization - Clinical Core (5U19AI128914-06). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10198679. Licensed CC0.

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