Automating a new host-protein assay for differentiating bacterial from viral infection to reduce operator hands-on time. (9th August 2018)

• Record Type: Journal Article
• Authors: Shapira, Maanit; Boico, Olga; Cohen, Asi; Sagi, Ruth; Aharon, Ada; Navon, Roy; Kronenfeld, Gali; Maler, Katie; Pri-Or, Ester; Stein, Michal; Klein, Adi; Eden, Eran; Oved, Kfir
• Is Part Of: Biotechniques. Volume 65:Number 2(2018)
• Page Start: 93
• Page End: 95
• Publication Date: 2018-08-09
• Subjects: antibiotics -- biomarkers -- ELISA -- host-immune response -- lab automation; Biology, Experimental -- Periodicals; Molecular biology -- Periodicals; Medical technology -- Periodicals; Biology, Experimental; Medical technology; Molecular biology; Clinical Laboratory Techniques -- Periodicals; Research -- Periodicals; Medical Laboratory Science -- Periodicals; Periodicals; Electronic journals; 570
• DOI: 10.2144/btn-2018-0028
• Languages: English
• ISSNs: 0736-6205

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.