Selected Grantee Publications
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- 2 results found
- HIV/AIDS
- Artificial Intelligence/Machine Learning
- Preservation
Pre-Challenge Gut Microbial Signature Predicts RhCMV/SIV Vaccine Efficacy in Rhesus Macaques
Brochu et al., Microbiology Spectrum. 2025.
https://journals.asm.org/doi/10.1128/spectrum.01285-24
Rhesus cytomegalovirus–based simian immunodeficiency virus (RhCMV/SIV) vaccines provide protection against SIV challenge in approximately 60% of vaccinated rhesus macaques. This study assessed the role that gut microbiota play in SIV vaccine efficacy by analyzing the microbiomes of rhesus macaques before and after immunization using novel compositional data analysis techniques and machine-learning strategies. Researchers identified a gut microbial signature that predicted vaccine protection outcomes and correlated with early biomarker changes in the blood (i.e., host immune response to vaccination). This study indicates that the gut microbiome might play a role in vaccine-induced immunity. Supported by ORIP (P51OD011092).
Simian Immunodeficiency Virus and Storage Buffer: Field-Friendly Preservation Methods for RNA Viral Detection in Primate Feces
Wilde et al., mSphere. 2023.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10732032/
Simian immunodeficiency virus (SIV) infects more than 40 nonhuman primate (NHP) species in sub-Saharan Africa, but testing in wild NHP populations can be challenging. Researchers compared methods for SIV RNA preservation and recovery from NHP fecal samples stored in four different buffers. The goal of this work was to identify a robust “field-friendly” method (i.e., without freezing or refrigeration) for this effort, and the samples were collected from a mantled guereza colobus housed at the Columbus Zoo and Aquarium. The authors reported that the DNA/RNA shield is an optimal buffer for preserving SIV RNA in fecal samples in the field. Their findings will inform future fieldwork and facilitate improved approaches for studies of SIV and other RNA viruses. Supported by ORIP (P51OD011132) and NIAID.