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Related Concept Videos

Bacterial Signaling01:30

Bacterial Signaling

Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
Genomic DNA in Prokaryotes00:46

Genomic DNA in Prokaryotes

The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
Genomic Diversity in Bacteria
Although bacterial genomes are much...
Bacterial Transformation01:33

Bacterial Transformation

In 1928, bacteriologist Frederick Griffith worked on a vaccine for pneumonia, which is caused by Streptococcus pneumoniae bacteria. Griffith studied two pneumonia strains in mice: one pathogenic and one non-pathogenic. Only the pathogenic strain killed host mice.
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Related Experiment Video

Updated: May 27, 2026

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction
10:35

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Published on: December 3, 2017

Bacterial DNA from orthopedic implants after routine removal.

Ursula Obst1, Silke Mareike Marten, Christoph Niessner

  • 1Institute of Functional Interfaces, KIT Campus North, Eggenstein-Leopoldshafen, Germany. ursula.obst@itc-wgt.fzk.de

The International Journal of Artificial Organs
|November 19, 2011
PubMed
Summary

Bacterial 16S rDNA detection on orthopedic implants improved significantly after method optimization. Despite high bacterial DNA presence, septic complications were not observed, suggesting further investigation into contamination sources is warranted.

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Area of Science:

  • Orthopedic surgery
  • Microbiology
  • Medical device contamination

Background:

  • Orthopedic metallic implants can harbor bacteria.
  • Detecting bacterial presence is crucial for patient outcomes.
  • Current detection methods may have limitations.

Purpose of the Study:

  • To monitor and identify bacterial 16S ribosomal DNA (rDNA) on orthopedic metallic implants.
  • To optimize detection methods for enhanced sensitivity and reduced human DNA interference.
  • To investigate bacterial contamination sources in orthopedic implant procedures.

Main Methods:

  • Analysis of bacterial 16S rDNA from orthopedic implants, biopsies, and dressings using optimized molecular techniques.
  • Comparison of detection rates before and after method optimization.
  • Identification of bacterial species and potential contamination sources.

Main Results:

  • Initial analysis showed low bacterial DNA detection rates (29% positive).
  • Method optimization significantly increased positive detection rates (90.5% in the second collective).
  • Opportunistic pathogens were frequently detected, but septic complications did not occur.

Conclusions:

  • Optimized methods are crucial for accurate bacterial DNA detection on orthopedic implants.
  • The high prevalence of bacterial DNA warrants further investigation into contamination pathways.
  • Continued monitoring and source identification are recommended for clinical practice.