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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 3

Ex vivo phenotypic characterization of CD4+ T cells stratified by cell-associated PCS levels in PLWH.

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Ex vivo phenotypic characterization of CD4+ T cells stratified by cell-a...
(A) Heatmap summarizing cell-associated PCS concentrations in CD4+ T cells across individual donors (n = 24), grouped into 4 categories based on PCS levels: no PCS, low PCS, medium PCS, and high PCS (6 donors per group). Concentrations (nM) are shown for PCS, PAG, PCG, and IAA in each sample. (B) Flow cytometric pseudoplots showing CD4, TCF7, CCR7, CD45RA, FOXP3, CD25, Ki-67, and CD71 expression. Plots represent concatenated files for each PCS group. Median fluorescence intensity (MFI) values for each marker are indicated numerically within individual plots. (C) t-SNE plots of CD4+ T cells demarked by FlowSOM-defined clusters corresponding to canonical T cell subsets, including naive, TCM, TEM, TEMRA, total Tregs, naive Tregs, and Ki-67+ Tregs. Plots represent pooled data from each PCS group. (D) Quantification of CD4+ T cell subset frequencies as a percentage of total CD4+ T cells in each PCS group. Data represent mean ± SD. Statistical significance was assessed using 1-way ANOVA with multiple comparisons correction. *P < 0.05, **P < 0.01.

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