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Microbiome-derived metabolites shape CD4+ T cell differentiation and immune aging in HIV-1 infection
Amanda Cabral Da Silva, Luke Flantzer, Jaclyn Weinberg, Shuya Kyu, Lisa P. Daley-Bauer, Anyce Godoy, Ana Carolina Santana, Aarthi Talla, Amber Lynn Rittgers, Sarah Welbourn, David Ezra Gordon, Jeffery Alan Tomalka, Vincent C. Marconi, Dean P. Jones, Souheil-Antoine Younes
Amanda Cabral Da Silva, Luke Flantzer, Jaclyn Weinberg, Shuya Kyu, Lisa P. Daley-Bauer, Anyce Godoy, Ana Carolina Santana, Aarthi Talla, Amber Lynn Rittgers, Sarah Welbourn, David Ezra Gordon, Jeffery Alan Tomalka, Vincent C. Marconi, Dean P. Jones, Souheil-Antoine Younes
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Research Article AIDS/HIV Aging Immunology

Microbiome-derived metabolites shape CD4+ T cell differentiation and immune aging in HIV-1 infection

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Abstract

The role of aromatic gut-derived bacterial metabolites (GDBMs) in shaping immune cell metabolism and function remains poorly explored. Using ex vivo metabolomic profiling of paired plasma and CD4+ T cells from people living with HIV-1 (PLWH), we identified a network of aromatic GDBMs whose cell-associated abundance, rather than systemic levels, was linked to broad alterations in CD4+ T cell metabolic and functional states. Among these, p-cresol sulfate (PCS) emerged as a mechanistic prototype. Ex vivo flow cytometry and scRNA-seq of CD4+ T cells stratified by cell-associated PCS levels revealed dose-dependent enrichment of transcriptional programs associated with impaired differentiation, regulatory-like identity, and cellular senescence. In vitro transcriptomic and proteomic analyses of PCS-exposed CD4+ T cells demonstrated induction of cell-cycle arrest, mitochondrial dysfunction, and senescence-associated programs, including upregulation of p16 and p21. Integration of these immunometabolic findings with HIV-1 reservoir measurements revealed that CD4+ T cell states defined by cell-associated GDBMs track with intact proviral DNA levels in vivo. These findings define a microbiome-derived axis that reshapes CD4+ T cell metabolism and fate, promotes immune aging in PLWH, and may foster immunometabolic states linked to long-term HIV-1 reservoir persistence.

Authors

Amanda Cabral Da Silva, Luke Flantzer, Jaclyn Weinberg, Shuya Kyu, Lisa P. Daley-Bauer, Anyce Godoy, Ana Carolina Santana, Aarthi Talla, Amber Lynn Rittgers, Sarah Welbourn, David Ezra Gordon, Jeffery Alan Tomalka, Vincent C. Marconi, Dean P. Jones, Souheil-Antoine Younes

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Figure 4

Single-cell transcriptomic analysis of CD4+ T cells from participants with high and low cell-associated PCS concentrations.

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Single-cell transcriptomic analysis of CD4+ T cells from participants wi...
(A) UMAP density plots of CD4+ T cells from 6 individuals with low (left) or high (right) cell-associated PCS levels. (B) UMAP projection of all CD4+ T cells colored by predicted CD4+ T cell subset identity, annotated by reference mapping to a CITE-seq PBMC multimodal reference. (C) Median difference in per-participant cluster proportions between high and low PCS groups; clusters with a median difference exceeding 10% were considered differentially abundant. Red bars indicate clusters enriched in PCS-high donors; blue bars indicate clusters enriched in low PCS donors. (D) Stacked bar plot showing predicted CD4+ T cell subset identity in clusters C2, C6, C5, and C0 (C5/C0, top high-PCS clusters; C2/C6, top low-PCS clusters). (E) Subset percentages within these clusters by individual donor (red, high CD4 PCS; blue, low CD4 PCS). (F) Volcano plots of differentially expressed genes within indicated gene signature modules, comparing high versus low PCS clusters. Genes were identified using the Wilcoxon rank-sum test in Seurat (FindMarkers) and summarized by mean log2 fold change and mean −log10 P value across clusters (nominal P < 0.05). n = 3 donors per group.

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