Computational microbiome pharmacology analysis elucidates the anti-cancer potential of vaginal microbes and

Damilola C Lawore1, Smrutiti Jena1, Alicia R Berard2,3

  • 1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.

PubMed

Insights

The novel Pharmacobiome framework identifies vaginal microbes and metabolites with anti-cancer drug similarities. Certain lactobacilli and taurine show potential for gynecologic cancer therapy.

Area of Science:

  • Microbiome research
  • Systems biology
  • Pharmacology

Background:

  • The vaginal microbiome influences female cancer risk, progression, and treatment.
  • Understanding microbiome-host interactions and therapeutic potential requires advanced methods.

Purpose of the Study:

  • To develop a systems biology framework, the Pharmacobiome, for analyzing microbiome pharmacology.
  • To characterize the anti-gynecologic cancer vaginal microbiome's therapeutic potential.

Main Methods:

  • Developed the Pharmacobiome framework to compare microbial/metabolite impacts on host gene expression with drug signatures.
  • Utilized vaginal microbiome multi-omics data and the Library of Integrated Network-based Cellular Signatures (LINCS) database.
  • Compared host gene signatures from vaginal microbes/metabolites to anti-cancer drug perturbation signatures.

Main Results:

  • Identified specific lactobacilli, notably L. crispatus, and metabolites like taurine, exhibiting gene expression regulation similar to anti-cancer drugs.
  • Validated experimentally that taurine, a L. crispatus metabolite, effectively kills breast and endometrial cancer cells.
  • Demonstrated the Pharmacobiome framework's ability to predict therapeutic functions of vaginal microbiome components.

Conclusions:

  • The Pharmacobiome framework is a robust tool for discovering anti-cancer therapeutic potential within the vaginal microbiome.
  • Findings suggest L. crispatus and taurine as potential agents for gynecologic cancer treatment.
  • The Pharmacobiome framework shows generalizability for exploring microbiome-derived therapies across various diseases.

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