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Breast cancer patients from the Midwest region of the United States have reduced levels of short-chain fatty acid-producing gut bacteria.

Rachel L ShrodeJessica E KnobbeNicole CadyMeeta YadavJemmie HoangCatherine CherwinMelissa CurryRohan GarjePraveen VikasSonia SuggSneha PhadkeEdward FilardoAshutosh K Mangalam
Published in: Scientific reports (2023)
As geographical location can impact the gut microbiome, it is important to study region-specific microbiome signatures of various diseases. Therefore, we profiled the gut microbiome of breast cancer (BC) patients of the Midwestern region of the United States. The bacterial component of the gut microbiome was profiled utilizing 16S ribosomal RNA sequencing. Additionally, a gene pathway analysis was performed to assess the functional capabilities of the bacterial microbiome. Alpha diversity was not significantly different between BC and healthy controls (HC), however beta diversity revealed distinct clustering between the two groups at the species and genera level. Wilcoxon Rank Sum test revealed modulation of several gut bacteria in BC specifically reduced abundance of those linked with beneficial effects such as Faecalibacterium prausnitzii. Machine learning analysis confirmed the significance of several of the modulated bacteria found by the univariate analysis. The functional analysis showed a decreased abundance of SCFA (propionate) production in BC compared to HC. In conclusion, we observed gut dysbiosis in BC with the depletion of SCFA-producing gut bacteria suggesting their role in the pathobiology of breast cancer. Mechanistic understanding of gut bacterial dysbiosis in breast cancer could lead to refined prevention and treatment.
Keyphrases
  • machine learning
  • fatty acid
  • single cell
  • end stage renal disease
  • chronic kidney disease
  • genome wide
  • newly diagnosed
  • gene expression
  • peritoneal dialysis
  • big data