Sign in
MicrobiologybioRxiv
Preprint

Pre-treatment Microbiome Diversity and Function is associated with Expansion of Cytotoxic and Regulatory Immune Populations after N-803 treatment in People with HIV

Ashma ChakrawartiiD, Ross T. CromartyiD, Christopher M. BastingiD, Jodi L. Anderson, Ty A. Schroeder, Kevin Escandón-VargasiD, Robin R. Shields‐CutleriD, Robert LangatiD, Erik Swanson, Patrick Soon‐ShiongiD, Jeffrey T. SafritiD, Leonard S. SenderiD, Sandeep K. ReddyiD, Jeffrey S. MilleriD, Joshua RheiniD, Timothy W. SchackeriD, Nichole R. KlattiD

Abstract

BackgroundN-803, an IL-15 superagonist, is currently being studied in clinical trials as a treatment to reverse HIV latency. However, its effects on the gut microbiome are not well understood. MethodsIn this longitudinal metagenomic study, we analyzed fecal microbiomes from ART-suppressed people with HIV at four different timepoints before, during, and after N-803 treatment. ResultsOverall taxonomic and functional diversity did not change significantly, yet beneficial microbial taxa and pathways were enriched after N-803. Specifically, the relative abundance of Faecalibacterium prausnitzii increased significantly after N-803, whereas histidine degradation pathways, often associated with pro-inflammatory mucosal state, decreased. A higher baseline microbial diversity correlated with stronger CD8+ and natural killer (NK) cells activation and reduced frequency of rectal HIV RNA+ cells. MaAsLin2 analyses further associated short-chain fatty acid (SCFA)-producing taxa and pathways with increased immune activation markers. ConclusionsThese results indicate that gut microbiome diversity prior to immunotherapy influences host response and suggest that microbiome-based strategies could improve efforts to cure HIV.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISCody '21Ellis-Conne '22Meng '22Harwood '22Wagner '26Zhang '22
64% semantic matchSystems Biology
Jonathan W. Cody, Amy L. Ellis-Connell, Shelby L. O’Connor+1 more·PLoS Computational Biology·Jul 28, 2021· 6 citations