Murine fecal microbiota transfer models selectively colonize human microbes and reveal transcriptional programs

Fyza Y Shaikh1,2, Joell J Gills1,2, Fuad Mohammad1,2

  • 1The Bloomberg-Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Insights

Human gut microbes influence responses to immune checkpoint inhibitors (ICIs). Fecal microbiota transfer (FMT) in mice showed that specific microbes impact anti-tumor immunity, but experimental variables affect reproducibility.

Area of Science:

  • Microbiome research
  • Immunotherapy
  • Oncology

Background:

  • Gut microbial species associate with clinical responses to immune checkpoint inhibitors (ICIs).
  • Fecal microbiota transfer (FMT) in mice is a common model to study these associations.
  • Previous FMT studies often lack detailed methodology and statistical rigor.

Purpose of the Study:

  • To investigate the reproducibility and robustness of gut microbial species impacting ICI responses.
  • To analyze the impact of human gut microbiota on anti-tumor immunity in mice treated with anti-PD-L1.
  • To identify specific microbial taxa and host factors influencing treatment outcomes.

Main Methods:

  • Human to germ-free mouse FMT using samples from non-small cell lung cancer patients with pathological response or nonresponse to neoadjuvant ICI treatment.
  • 16S rRNA amplicon sequencing to analyze mouse microbiota composition post-FMT.
  • RNAseq and immunohistochemistry to assess anti-tumor immune responses in mice.

Main Results:

  • FMT from responding patients (R-FMT) enhanced anti-tumor responses to anti-PD-L1 compared to non-responding (NR-FMT) mice, with variability based on mouse factors.
  • High-abundance human taxa colonized mice consistently, while low-abundance taxa showed variable colonization.
  • Specific Clostridium species correlated with tumor outcomes in R-FMT mice.
  • Differential expression of T and NK cell pathways observed in responding tumors, irrespective of FMT source.

Conclusions:

  • Human gut microbial species can influence clinical responses to ICIs.
  • Experimental variables like mouse cell line, sex, and individual experiments significantly impact reproducibility in FMT studies.
  • Further research focusing on biological variables is crucial for improving the reliability of murine models for ICI response prediction.