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

You might also read

Related Articles

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

Sort by
Same author

Mind the Performance Gap: Examining Dataset Shift During Prospective Validation.

Proceedings of machine learning research·2026
Same author

A Randomized Trial of Rifaximin vs Low Fermentable Oligosaccharides, Disaccharides, Monosaccharides, and Polyols Diet for Symptom Outcomes and Microbiome Changes in Irritable Bowel Syndrome.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association·2026
Same author

RNA Folding Nearest Neighbor Parameters Including the Modification 1-Methyl-Pseudouridine.

bioRxiv : the preprint server for biology·2026
Same author

Association between Clostridioides difficile Test Positivity and Colorectal Cancer Incidence in a Multisite Hospital-Based Retrospective Cohort Analysis.

Cancer research communications·2026
Same author

HScore as a diagnostic tool in ERBB2 equivocal (immunohistochemistry 2+) breast cancer.

Laboratory medicine·2026
Same author

Association Between Clostridioides difficile Test Positivity and Colorectal Cancer Incidence in a Multisite Hospital-Based Retrospective Cohort Analysis.

Cancer research communications·2026
Same journal

Comparative analysis of gut viromes in four penguin species reveals diverse novel viruses and host-associated differences.

mSphere·2026
Same journal

Systems analysis reveals alternate metabolic states adopted by <i>Mycobacterium tuberculosis</i> across species.

mSphere·2026
Same journal

HIV-1 and <i>Chlamydia trachomatis</i> limit their respective growth but promote their survival in co-infected human macrophages.

mSphere·2026
Same journal

Salinity-driven microbial adaptation of hydrocarbon-degrading communities in coastal sediments.

mSphere·2026
Same journal

Tools for genetic manipulation of the endemic fungal pathogen <i>Emergomyces africanus</i> and application of a fluorescent reporter strain in infection models.

mSphere·2026
Same journal

Cysteine-S-nitrosylation inhibits ROP5-mediated immune evasion in <i>Toxoplasma gondii</i>.

mSphere·2026
See all related articles

Related Experiment Video

Updated: Nov 1, 2025

Author Spotlight: Advancements in Understanding and Combatting Shigella Infections
04:56

Author Spotlight: Advancements in Understanding and Combatting Shigella Infections

Published on: February 9, 2024

1.2K

Measurement of Klebsiella Intestinal Colonization Density To Assess Infection Risk.

Yuang Sun1, Alieysa Patel1, John SantaLucia2

  • 1Department of Pathology, University of Michigan Medical School, Michigan Medicine, Ann Arbor, Michigan, USA.

Msphere
|June 23, 2021
PubMed
Summary
This summary is machine-generated.

High Klebsiella colonization density in hospitalized patients, measured by qPCR, significantly predicts subsequent infections. This assay can identify at-risk individuals for targeted prevention strategies against Klebsiella infections.

Keywords:
Klebsielladominanceinfection riskintestinal colonizationmicrobiomeqPCR

More Related Videos

Candida albicans Biofilm Development on Medically-relevant Foreign Bodies in a Mouse Subcutaneous Model Followed by Bioluminescence Imaging
08:31

Candida albicans Biofilm Development on Medically-relevant Foreign Bodies in a Mouse Subcutaneous Model Followed by Bioluminescence Imaging

Published on: January 27, 2015

13.2K
Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions
09:54

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions

Published on: July 22, 2022

3.3K

Related Experiment Videos

Last Updated: Nov 1, 2025

Author Spotlight: Advancements in Understanding and Combatting Shigella Infections
04:56

Author Spotlight: Advancements in Understanding and Combatting Shigella Infections

Published on: February 9, 2024

1.2K
Candida albicans Biofilm Development on Medically-relevant Foreign Bodies in a Mouse Subcutaneous Model Followed by Bioluminescence Imaging
08:31

Candida albicans Biofilm Development on Medically-relevant Foreign Bodies in a Mouse Subcutaneous Model Followed by Bioluminescence Imaging

Published on: January 27, 2015

13.2K
Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions
09:54

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions

Published on: July 22, 2022

3.3K

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Clinical Diagnostics

Background:

  • Klebsiella species (K. pneumoniae, K. variicola, K. quasipneumoniae) are leading causes of healthcare-associated infections.
  • Intestinal colonization by Klebsiella often precedes infection, presenting a potential prevention target.
  • Factors influencing the risk of Klebsiella colonization progressing to infection remain unclear.

Purpose of the Study:

  • To evaluate the association between Klebsiella colonization density and the risk of subsequent Klebsiella infections.
  • To develop and validate a quantitative PCR (qPCR) assay for measuring Klebsiella relative abundance in rectal swabs.

Main Methods:

  • A case-control study was conducted using rectal swabs from hospitalized patients.
  • A multiplex qPCR assay was developed to quantify Klebsiella relative to total bacterial DNA.
  • Cases were patients with Klebsiella infection confirmed by culture, controls were colonized patients without infection, matched by demographics and sample date.

Main Results:

  • The qPCR assay showed high correlation with 16S sequencing for Klebsiella abundance.
  • Median Klebsiella relative abundance was significantly higher in cases (15.7%) than controls (1.01%).
  • A Klebsiella relative abundance >22% was associated with increased risk of overall infection (OR, 2.87) and bacteremia (OR, 4.14).

Conclusions:

  • Quantifying Klebsiella colonization density using qPCR is a viable method to identify patients at high risk for infection.
  • This assay could enable early intervention and prevention of Klebsiella-related infections.
  • The assay's potential clinical utility lies in identifying patients who may benefit from novel gut microbiome-targeted therapeutics.