# Immune Responses to Malaria and HIV Infection and Immunization

> **NIH NIH U19** · SEATTLE CHILDREN'S HOSPITAL · 2020 · $3,561,064

## Abstract

Malaria and HIV/AIDS are two of the most devastating infectious diseases, impacting millions of people world-
wide. Effective vaccines against the pathogens that cause these diseases (HIV and Plasmodium falciparum)
have proven elusive and traditional vaccine approaches are unlikely to succeed in eradicating either disease.
In addition to our limited understanding of the desired immune responses to confer protection against the
pathogens and our limited ability to elicit such responses, vaccine efficacy is also confounded by the diversity
of pathogens, human populations, environmental exposures, and health status. The projects described herein
are designed to support the identification of immune profiles that correlate with vaccine efficacy and are of
potential relevance to protection against HIV-1 and P. falciparum infection. Beyond the importance of
combatting these diseases, the strategies for profiling immunity in response to infection and vaccination hold
promise for garnering fundamental insights into the complexity of the immune system as a whole. Such insight
will have potential for impacting strategies for vaccine development and for treating immune-related diseases
more broadly.

## Key facts

- **NIH application ID:** 9954000
- **Project number:** 5U19AI128914-05
- **Recipient organization:** SEATTLE CHILDREN'S HOSPITAL
- **Principal Investigator:** KENNETH D STUART
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $3,561,064
- **Award type:** 5
- **Project period:** 2017-07-19 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9954000

## Citation

> US National Institutes of Health, RePORTER application 9954000, Immune Responses to Malaria and HIV Infection and Immunization (5U19AI128914-05). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9954000. Licensed CC0.

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