We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ZeptoMetrix an Antylia scientific company

Download Mobile App




Bacterial Drug Sensitivity Identified by Immunoflow Cytometry

By LabMedica International staff writers
Posted on 11 Jan 2012
Antibiotic sensitivity or resistance of Staphylococcus aureus can be reliably differentiated by flow cytometry when labeled with nucleic acid dye. More...


An alternative approach to differentiate between methicillin-resistant S. aureus (MRSA) and methicillin-susceptible S. aureus (MSSA) can be achieved by labeling with a S. aureus-specific antistaphylococcal protein A antibody instead of nucleic acid dyes.

Scientists at the Cleveland Clinic, (OH ,USA) analyzed a total of 103 clinical isolates of S. aureus including 49 MRSA and 54 MSSA, obtained from the Cleveland Clinic clinical microbiology laboratory. These were isolates from blood, respiratory, tissue, and wound cultures, and were all obtained from different patients. Labeled bacterial cells were analyzed in a Micro PRO flow cytometer using a sampling volume of 0.25 mL.

All 103 isolates were correctly identified as S. aureus by producing a signal when labeled with the anti-S. aureus protein A antibody. Ten coagulase-negative staphylococci and two enterococci used as controls did not produce a signal with the antibody. A batch of 12 samples could be analyzed in 6.5 hours, which includes 4 hours of incubation in the presence of oxacillin, and 1 hour of this being hands-on time. The Micro PRO flow cytometer (Advanced Analytical Technologies, Inc.; Ames, IA, USA) used in the assay allows for random access testing, whereby individual samples can be analyzed independently. Although sample preparation would be more efficiently done in batches, the actual flow cytometry itself does not require batch testing, and a clinical laboratory has the option of using this technology in real-time.

The cost per sample of this immunoflow cytometry assay is estimated to be about USD 11 per sample, compared with about USD 24 by flow cytometry using a peptide nucleic acid (PNA) probe, and USD 45 for the same identification using a commercially available real-time polymerase chain reaction (PCR) assay. The costs of commercially available simple flow cytometers capable of analyzing particles the size of bacteria are estimated to be between USD 60,000 and USD 100,000. The authors concluded that immunoflow cytometry is a viable method of rapidly identifying S. aureus and differentiating MRSA from MSSA, and comes with many of the advantages of flow cytometry and microorganism-specific labeling associated with using PNA probes. The study was published on December 27, 2011, in the European Journal of Clinical Microbiology and Infectious Diseases.

Related Links:
Cleveland Clinic
Advanced Analytical Technologies





Gold Member
Troponin T QC
Troponin T Quality Control
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Cytomegalovirus Real-Time PCR Test
Quanty CMV Virus System
New
Hemoglobin/Haptoglobin Assay
IDK Hemoglobin/Haptoglobin Complex ELISA
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.