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Gut microbiome for predicting immune checkpoint blockade-associated adverse events.

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  • Additional Information
    • Source:
      Publisher: BioMed Central Country of Publication: England NLM ID: 101475844 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-994X (Electronic) Linking ISSN: 1756994X NLM ISO Abbreviation: Genome Med Subsets: MEDLINE
    • Publication Information:
      Original Publication: [London] : BioMed Central
    • Subject Terms:
    • Abstract:
      Background: The impact of the gut microbiome on the initiation and intensity of immune-related adverse events (irAEs) prompted by immune checkpoint inhibitors (ICIs) is widely acknowledged. Nevertheless, there is inconsistency in the gut microbial associations with irAEs reported across various studies.
      Methods: We performed a comprehensive analysis leveraging a dataset that included published microbiome data (n = 317) and in-house generated data from 16S rRNA and shotgun metagenome samples of irAEs (n = 115). We utilized a machine learning-based approach, specifically the Random Forest (RF) algorithm, to construct a microbiome-based classifier capable of distinguishing between non-irAEs and irAEs. Additionally, we conducted a comprehensive analysis, integrating transcriptome and metagenome profiling, to explore potential underlying mechanisms.
      Results: We identified specific microbial species capable of distinguishing between patients experiencing irAEs and non-irAEs. The RF classifier, developed using 14 microbial features, demonstrated robust discriminatory power between non-irAEs and irAEs (AUC = 0.88). Moreover, the predictive score from our classifier exhibited significant discriminative capability for identifying non-irAEs in two independent cohorts. Our functional analysis revealed that the altered microbiome in non-irAEs was characterized by an increased menaquinone biosynthesis, accompanied by elevated expression of rate-limiting enzymes menH and menC. Targeted metabolomics analysis further highlighted a notably higher abundance of menaquinone in the serum of patients who did not develop irAEs compared to the irAEs group.
      Conclusions: Our study underscores the potential of microbial biomarkers for predicting the onset of irAEs and highlights menaquinone, a metabolite derived from the microbiome community, as a possible selective therapeutic agent for modulating the occurrence of irAEs.
      (© 2024. The Author(s).)
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    • Grant Information:
      82073115 National Natural Science Foundation of China; 82002487 National Natural Science Foundation of China; 81973346 National Natural Science Foundation of China; 2022YFE0125300 Key Technologies Research and Development Program; 2019M660142 China Postdoctoral Science Foundation
    • Contributed Indexing:
      Keywords: Gut microbiome; Immune checkpoint inhibitors; Immune-related adverse events; Programmed death 1 (PD-1)/programmed death ligand 1 (PD-L1)
    • Accession Number:
      0 (Immune Checkpoint Inhibitors)
      0 (Antineoplastic Agents, Immunological)
      0 (RNA, Ribosomal, 16S)
      11032-49-8 (Vitamin K 2)
      0 (Programmed Cell Death 1 Receptor)
    • Publication Date:
      Date Created: 20240119 Date Completed: 20240122 Latest Revision: 20240706
    • Publication Date:
      20250114
    • Accession Number:
      PMC10799412
    • Accession Number:
      10.1186/s13073-024-01285-9
    • Accession Number:
      38243343