Selected Grantee Publications
Understanding Early HIV-1 Rebound Dynamics Following Antiretroviral Therapy Interruption: The Importance of Effector Cell Expansion
Phan et al., PLOS Pathogens. 2024.
https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1012236
Researchers developed dynamic models of virus–immune interactions, building on a prior theoretical framework, to investigate the dynamics of HIV-1 rebound following antiretroviral therapy (ART). These models were evaluated using viral load data from 24 patients (sex not specified) following ART interruption. Of these models, the best-performing model highlighted that individuals with a higher effector cell expansion rate maintain viral remission for extended periods post-ART. The findings indicate that effector cell expansion plays a critical role in viral rebound control. These results suggest the potential for viral dynamic models to predict and understand HIV-1 rebound after ART interruption, contributing to the development of targeted HIV treatment strategies. Supported by ORIP (R01OD011095) and NIAID.
Modeling Resistance to the Broadly Neutralizing Antibody PGT121 in People Living With HIV-1
Cassidy et al., PLOS Computational Biology. 2024.
https://pubmed.ncbi.nlm.nih.gov/38551976/
PGT121 is a broadly neutralizing antibody that demonstrated potent antiviral activity in an early clinical trial. Resistance to PGT121 monotherapy rapidly occurred in the majority of participants (sex unspecified), and the rebound viruses were entirely resistant to PGT121-mediated neutralization. However, two participants experienced long-term antiretroviral therapy–free viral suppression following antibody infusion and retained sensitivity to PGT121 upon viral rebound. Mathematical models showed the importance of the relative fitness difference between PGT121-sensitive and -resistant subpopulations prior to treatment. Researchers identified the treatment-induced competitive advantage of a resistant population as a primary driver of resistance and emphasized the high neutralization ability of PGT121 in both participants who exhibited long-term viral control. Supported by ORIP (R01OD011095) and NIAID.
Novel Off-Targeting Events Identified After Genome Wide Analysis of CRISPR-Cas Edited Pigs
Redel et al., The CRISPR Journal. 2024.
https://pubmed.ncbi.nlm.nih.gov/38770737/
CRISPR technology has revolutionized the production of unconventional models, such as gene-edited pigs, for both agricultural and biomedical applications; however, concerns remain regarding the possibility of introducing unwanted modifications in the genome. In this study, researchers demonstrate a pipeline to comprehensively identify off-targeting events on a global scale in the genome of three different gene-edited pig models. They confirmed two known off-targeting events and identified other presumably off-target loci. Their work offers a simplified approach to detecting off-targeting events in an unknown genetic background and increases the value of the pig as a preclinical model. Supported by ORIP (R01OD035561) and NIA.
Macrophages Derived From Human Induced Pluripotent Stem Cells (iPSCs) Serve As a High-Fidelity Cellular Model for Investigating HIV-1, Dengue, and Influenza viruses
Yang et al., Journal of Virology. 2024.
https://pubmed.ncbi.nlm.nih.gov/38323811/
Macrophages can be weaponized by viruses to host viral reproduction and support long-term persistence. The most common way of studying these cells is by isolating their precursors from donor blood and differentiating the isolated cells into macrophages. This method is costly and technically challenging, and it produces varying results. In this study, researchers confirmed that macrophages derived from iPSC cell lines—a model that is inexpensive, consistent, and modifiable by genome editing—are a suitable model for experiments involving HIV and other viruses. Macrophages derived from iPSCs are as susceptible to infection as macrophages derived from blood, with similar infection kinetics and phenotypes. This new model offers researchers an unlimited source of cells for studying viral biology. Supported by ORIP (R01OD034046, S10OD021601), NIAID, NIDA, NIGMS, and NHLBI.