Understanding how the immune system responds to influenza vaccines
Official title: Towards a predictive understanding of influenza immunity through experimental data integration, iterative model development, and rigorous assessment of model quality
Funded at La Jolla Institute for Immunology · NIH-11017579 · Data updated 2026-11-12
This study is working on creating computer models to help predict how effective flu vaccines are by looking at different immune responses, which could lead to better vaccine strategies for everyone.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | La Jolla Institute for Immunology NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project start | December 19, 2024 |
| Project end | November 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $1,246,617 |
| NIH project number | 1U01AI187062-01 |
| Project ID | NIH-11017579 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who receive influenza vaccinations and have varying immune responses.
✕Less likely to help
Patients who do not receive influenza vaccinations or have conditions that prevent them from mounting an immune response may not benefit from this research.
What this research studies
This research aims to develop computational models that can predict how well influenza vaccines work based on various immunological factors. By analyzing existing data and generating new experimental information, the researchers will assess the immune responses triggered by the vaccine, including the roles of B cells and T cells. The project will also involve an annual competition to test the accuracy of these models using real-world data. Patients may benefit from improved vaccine strategies that enhance immunity against influenza.
Why it matters
Potential benefit: If successful, this research could lead to more effective influenza vaccines that provide longer-lasting immunity.
How similar studies have gone: Other research has shown promise in using computational models to predict vaccine responses, indicating that this approach has potential for success.
Where this research is happening
-
La Jolla Institute for Immunology
La Jolla, United States Active
Researchers
- Principal investigator: Peters, Bjoern — La Jolla Institute for Immunology
- Study coordinator: Peters, Bjoern
Related research
Other NIH-funded projects on the same topics.
-
Creating vaccines for influenza and other infectious diseases
This study is all about creating new vaccines to help protect people from the flu and other infections, so patients can look forward to better options for staying healthy.
-
Creating vaccines for human trials against influenza and other infectious diseases
This study is working on creating new vaccines to help protect people from flu and other infectious diseases, including those that could be used in harmful situations, so that everyone can have safer and more effective options to stay healthy.
-
Understanding flu and COVID-19 vaccine responses in people and in the lab
Researchers at Stanford explore how flu and COVID-19 vaccines work in people and in lab tests to improve protection for adults.
-
Surveillance and preparedness for flu and other respiratory pathogens in Kenya
A US-based research grant aims to improve how Kenya detects and prepares for influenza and other respiratory diseases to protect people there and global health.
-
Enhanced Seasonal Influenza Vaccine Targeting Shared and Variable Viral Antigens
A new DNA-based influenza vaccine approach aims to provide both precise protection against circulating strains and broader defense against unexpected strains.
-
How the immune system responds to flu shots and flu infection
This project looks at how adults' immune systems react after flu shots or when they catch the flu to find why some people get better protection than others.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.