Related Experiment Video
Updated: Feb 6, 2026

Automated, High-Throughput Detection of Bacterial Adherence to Host Cells
Published on: September 17, 2021
Automating a new host-protein assay for differentiating bacterial from viral infection to reduce operator hands-on
Maanit Shapira1, Olga Boico2, Asi Cohen2
1Clinical Laboratory Division, Hillel Yaffe Medical Center, Hadera, Israel.
Abstract:
Distinguishing bacterial from viral infections is often challenging, leading to antibiotic misuse, and detrimental ramifications for the patient, the healthcare system and society. A novel ELISA-based assay that integrates the circulating levels of three host-response proteins (TRAIL, IP-10 and CRP) was developed to assist in differentiation between bacterial and viral etiologies. We developed a new protocol for measuring the host-based assay biomarkers using an automated ELISA workstation. The automated protocol was validated and was able to reduce technician hands-on time by 76%, while maintaining high analytical performance. Following automation, the assay has been incorporated into the routine workflow at a pediatric department, and is performed daily on admitted and emergency department patients. The automation protocol reduces the overall burden on the hospital laboratory performing the assay. This benefit has potential to promote adoption of the host-based assay, facilitating timely triage of febrile patients and prudent use of antibiotics.
Related Concept Videos
Viral Structure
Viral Recombination
Bacterial Protein Maturation
Hand hygiene
Hand washing...
Bacterial Translocation and Protein Secretion
Reducing Line Loss
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...

