Open AccessAutomating a new host-protein assay for differentiating bacterial from viral infection to reduce operator hands-on time
Author(s) -
Maanit Shapira,
Olga Boico,
Avivit GolanCohen,
Ruth Sagi,
Ada Aharon,
Roy Navon,
Gali Kronenfeld,
Katie Maler,
Ester Pri-Or,
Michal Stein,
Adi Klein,
Eran Eden,
Kfir Oved
Publication year - 2018
Publication title -
biotechniques/biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/btn-2018-0028
Subject(s) - workflow , protocol (science) , host (biology) , triage , emergency department , technician , medicine , biology , medical emergency , computer science , pathology , database , ecology , alternative medicine , psychiatry , electrical engineering , engineering
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.