Deep learning imaging analysis to identify bacterial metabolic states associated with carcinogen production.

ABSTRACT:

Background

Colorectal cancer (CRC) is a globally prevalent cancer. Emerging research implicates the gut microbiome in CRC pathogenesis. Bacteria such as Clostridium scindens can produce the carcinogenic bile acid deoxycholic acid (DCA). It is unknown whether imaging methods can differentiate DCA-producing and DCA-non-producing C. scindens cells.

Methods

Light microscopy images of anaerobically cultured C. scindens in four conditions were acquired at 100× magnification using the Tissue FAX system: C. scindens in media alone (DCA-non-producing state), C. scindens in media with cholic acid (DCA-producing state), or C. scindens in co-culture with one of two Bacteroides species (intermediate DCA production states). We evaluated thr

SUBMITTER: Orouskhani M 

PROVIDER: S-EPMC11912549 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature