Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Serum Laboratory Studies, Stool Test, Breath Test01:30

Serum Laboratory Studies, Stool Test, Breath Test

351
Gastrointestinal (GI) diagnostic studies are pivotal in confirming, ruling out, diagnosing, or staging various diseases, including cancers. Following diagnosis, allocating time for discussions with the patient and providing informational resources is crucial. Diagnostic assessments of the GI tract often occur in outpatient settings like endoscopy suites or GI labs. Preparation for these tests may include dietary restrictions, fasting, liquid bowel preparations, laxatives, enemas, and the...
351
Bacterial Flora of the Large Intestine01:29

Bacterial Flora of the Large Intestine

473
The gut microbiome is formed by a vast and diverse community of bacteria that colonizes our large intestine. These bacteria start residing in the gut from birth and continue diversifying throughout life, influenced by factors such as diet, lifestyle, and stress. The gut bacterial community also includes bacteria from food and those that enter the colon through the anus.
The normal gut flora of the colon plays a critical role in generating essential vitamins such as vitamins K, B5, and B7.
473

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Characterization of Antibiofilm Molecules from Bovine Coagulase-Negative Staphylococci.

PloS one·2026
Same author

Improved brain penetration of neurotensin(8-13) via blood-brain barrier shuttle conjugation underlies strong analgesia.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Lignans Associated Differences in Salt Stress Responses of Flax (<i>Linum usitatissimum</i> L.) Genotypes In Vitro.

Cells·2026
Same author

Impact of maternal, infant, and household factors on early-life gut microbiome development in a rural setting.

The ISME journal·2026
Same author

Non-invasive assessment of inflammatory bowel disease activity using a DIA-derived stool peptidomic signature and machine learning.

Frontiers in molecular biosciences·2026
Same author

Orchestrating infection: the impact of RyfA and TimR sRNAs on stress resistance and virulence in avian pathogenic <i>Escherichia coli</i> in chickens.

Applied and environmental microbiology·2026

Related Experiment Video

Updated: Jul 10, 2025

Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection
07:35

Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection

Published on: June 8, 2020

7.0K

Optimizing Fecal Occult Blood Test (FOBT) Colorectal Cancer Screening Using Gut Bacteriome as a Biomarker.

Moumita Roy Chowdhury1, Karina Gisèle Mac Si Hone2, Karine Prévost1

  • 1Department of Biochemistry and Functional Genomics, University of Sherbrooke, Sherbrooke, Canada.

Clinical Colorectal Cancer
|November 18, 2023
PubMed
Summary

This study analyzed gut bacteria in patients undergoing colorectal cancer screening. Changes in gut bacteria composition can help improve the accuracy of fecal occult blood tests for detecting cancer.

Keywords:
16S rRNA gene sequencingLesion gradeiFOBT screening

More Related Videos

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing
08:05

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Published on: March 19, 2018

19.7K
An Intestinal Gut Organ Culture System for Analyzing Host-Microbiota Interactions
05:27

An Intestinal Gut Organ Culture System for Analyzing Host-Microbiota Interactions

Published on: June 30, 2021

4.3K

Related Experiment Videos

Last Updated: Jul 10, 2025

Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection
07:35

Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection

Published on: June 8, 2020

7.0K
Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing
08:05

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Published on: March 19, 2018

19.7K
An Intestinal Gut Organ Culture System for Analyzing Host-Microbiota Interactions
05:27

An Intestinal Gut Organ Culture System for Analyzing Host-Microbiota Interactions

Published on: June 30, 2021

4.3K

Area of Science:

  • Microbiome research
  • Gastroenterology
  • Cancer diagnostics

Background:

  • Colorectal cancer (CRC) is a leading cause of cancer mortality worldwide.
  • Immunochemical fecal occult blood testing (iFOBT) is a common CRC screening tool but has a high false-positive rate.
  • Gut bacteria are emerging as potential noninvasive biomarkers for CRC diagnosis.

Purpose of the Study:

  • To investigate the gut bacterial composition in patients undergoing CRC screening.
  • To explore the potential of gut bacteria as biomarkers to enhance CRC screening accuracy.

Main Methods:

  • Analysis of gut bacteriome composition (phylum, class, genus, species) from stool samples of over 800 patients.
  • Categorization of patients into four groups: healthy, blood without lesions, low-grade lesions, and high-grade lesions.
  • 16S rRNA gene sequencing and bioinformatic analysis, including machine learning algorithms.

Main Results:

  • Significant alterations in gut bacterial phyla were observed: Firmicutes increased, and Actinobacteriota decreased in patients with lesions compared to healthy individuals.
  • Specific bacterial species, Blautia obeum and Anaerostipes hadrus, increased, while Collinsella aerofaciens decreased in patients with high-grade lesions.
  • Machine learning models, particularly random forest (AUC > 0.8), demonstrated strong performance in distinguishing healthy patients from those with CRC-related lesions.

Conclusions:

  • Gut bacterial composition analysis, integrated with iFOBT, can improve the prediction of colorectal cancer lesions.
  • This approach offers a promising strategy for enhancing the noninvasive diagnosis of CRC.