# Advancing Genomic Technologies to Combat Infectious Disease: Mapping Dynamics within Single Cells, Individual Hosts, and Global Populations

> **NIH NIH U19** · BROAD INSTITUTE, INC. · 2022 · $1,384,729

## Abstract

Project Summary/Abstract
Clinical rebound following treatment with nirmatrelvir-ritonar has been reported. The incidence,
virology, and clinical consequence of this syndrome are not clear. The investigators will conduct
a study of nirmatrelvir-ritonavir rebound with the following objectives:
Objective 1: Determine the incidence and risk factors for symptomatic and asymptomatic
virologic rebound after nirmatrelvir-ritonavir therapy
Objective 2: Determine the duration and magnitude of virologic rebound and contagiousness of
symptomatic and asymptomatic rebound after nirmatrelvir-ritonavir therapy
Objective 3: Estimate the incidence of treatment-emergent drug resistance after rebound
Objective 4: Describe clinical outcomes with and without virologic rebound following
nirmatrelvir-ritonavir therapy in a real-world setting
By carrying out these objectives, the investigators will define the incidence of rebound after
nirmatrelvir-ritonavir and characterize the associated syndrome using quantitative measurement
of viral load, viral culture, and whole virus genome sequencing.

## Key facts

- **NIH application ID:** 10641432
- **Project number:** 3U19AI110818-09S1
- **Recipient organization:** BROAD INSTITUTE, INC.
- **Principal Investigator:** Bruce W. BIRREN
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $1,384,729
- **Award type:** 3
- **Project period:** 2022-09-01 → 2023-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10641432

## Citation

> US National Institutes of Health, RePORTER application 10641432, Advancing Genomic Technologies to Combat Infectious Disease: Mapping Dynamics within Single Cells, Individual Hosts, and Global Populations (3U19AI110818-09S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10641432. Licensed CC0.

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