su min (violet) hong

read_status: annotated
type: paper
title: "Microbiota-derived bile acids antagonize the host androgen receptor and drive anti-tumor immunity"
year: 2025
authors:
- "Jin, Wen-Bing"
- "Xiao, Leyi"
- "Jeong, Mingeum"
- "Han, Seong-Ji"
- "Zhang, Wen"
- "Yano, Hiroshi"
- "Shi, Huiqing"
- "Arifuzzaman, Mohammad"
- "Lyu, Mengze"
- "Wang, Daoming"
- "Tang, Yuelin Angelina"
- "Qiao, Shanshan"
- "Yang, Xiaoyu"
- "Yang, He S."
- "Fu, Jingyuan"
- "Sonnenberg, Gregory F."
- "Collins, Nicholas"
- "Artis, David"
- "Guo, Chun-Jun"

journal: "Cell"
doi: "10.1016/j.cell.2025.02.029"
url: "https://linkinghub.elsevier.com/retrieve/pii/S0092867425002569"
project:
  - IGP
system:
  - gut_microbiota
  - bile_acid_pool
  - cd8_t_cells
  - tumor_microenvironment

disease:
  - cancer
  - solid_tumor

genes:
  - androgen_receptor
  - tcf7

processes:
  - bile_acid_metabolism
  - nuclear_receptor_antagonism
  - cd8_t_cell_differentiation
  - immune_checkpoint_response

methods:
  - bile_acid_metabolomics
  - microbial_genetic_screen
  - nuclear_receptor_reporter_assay
  - murine_tumor_models
  - single_cell_rna_sequencing

key_findings:
  - androgen_receptor_inhibition
  - cd8_t_cell_stemness_induction
  - anti_pd1_potentiation
  - microbiota_host_metabolite_crosstalk

limitations:
  - incomplete_receptor_binding_mechanism
  - limited_human_intervention_data
  - bile_acid_specificity

relevance:
  - microbiota_immunotherapy_axis
  - nuclear_receptor_reprogramming
  - metabolite_based_therapy

concepts:
  - Microbiota_Derived_Nuclear_Receptor_Ligands
  - CD8_T_Cell_Stem_Like_States
  - Bile_Acid_Structure_Function_Relationships

tags:
  - microbiome
  - bile_acids
  - androgen_receptor
  - cancer_immunity

Abstract

Microbiota-derived bile acids (BAs) are associated with host biology/disease, yet their causal effects remain largely undefined. Herein, we speculate that characterizing previously undefined microbiota-derived BAs would uncover previously unknown BA-sensing receptors and their biological functions. We integrated BA metabolomics and microbial genetics to functionally profile >200 putative microbiota BA metabolic genes. We identified 56 less-characterized BAs, many of which are detected in humans/mammals. Notably, a subset of these BAs are potent antagonists of the human androgen receptor (hAR). They inhibit AR-related gene expression and are human-relevant. As a proof-of-principle, we demonstrate that one of these BAs suppresses tumor progression and potentiates the efficacy of anti-PD-1 treatment in an AR-dependent manner. Our findings show that an approach combining bioinformatics, BA metabolomics, and microbial genetics can expand our knowledge of the microbiota metabolic potential and reveal an unexpected microbiota BA-AR interaction and its role in regulating host biology.

Key Findings

Methods

Notes

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