Gut Microbiota Interacts with Dietary Habits in Screenings for Early Detection of Colorectal Cancer
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View abstract on PubMed
Summary
This summary is machine-generated.Combining gut microbiota analysis with dietary habits shows promise for early colorectal cancer (CRC) detection. This approach can improve screening programs by identifying individuals with CRC-related lesions.
Area Of Science
- Microbiome research
- Gastroenterology
- Cancer screening
Background
- Gut microbiota composition is linked to nutrient interactions and may serve as a biomarker for colorectal cancer (CRC).
- Early detection of CRC through screening programs can significantly improve patient outcomes.
Purpose Of The Study
- To evaluate the potential of gut microbiota and dietary habits for early detection of CRC-related pathological findings.
- To assess the combined predictive power of microbial signatures and dietary patterns in CRC screening.
Main Methods
- Analysis of gut microbiota using 16S metagenomic sequencing in 152 subjects undergoing colonoscopy.
- Development of classification models using the Random Forest (RF) algorithm in R.
- Comparison of model performance using gut microbiota data, dietary habits data, and a combined approach.
Main Results
- The combined model of gut microbiota and dietary habits achieved an area under the curve (AUC) of 0.804, outperforming models using either data source alone (AUC 0.790 for microbiota, 0.710 for diet).
- Specific microbial taxa (e.g., *Suterella*, *Oscillospirales*) and dietary factors (fruit/vegetable intake, beverage consumption) were identified as key discriminators.
- RF classifier models demonstrated the potential of these factors in distinguishing individuals with CRC-related lesions from those without.
Conclusions
- The interplay between gut microbiota and dietary habits is crucial for developing microbial signatures for CRC detection.
- Integrating gut microbiota signatures with dietary information can enhance the effectiveness of screening programs for early CRC identification.
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