Development of a Web App to Convert Blood Insulin Concentrations among Various Immunoassays Used in Horses

Delarocque, Julien, Feige, Karsten, Carslake, Harry B ORCID: 0000-0003-1288-1768, Durham, Andy E, Fey, Kerstin and Warnken, Tobias (2023) Development of a Web App to Convert Blood Insulin Concentrations among Various Immunoassays Used in Horses. Animals, 13 (17). p. 2704.

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Official URL: http://dx.doi.org/10.3390/ani13172704

Abstract

<jats:p>The measurement of the blood insulin concentration, and comparison to cut-offs, is essential in diagnosing insulin dysregulation, a common equine endocrinopathy. However, different insulin assays provide disparate results. We aimed to ease comparison between assays by compiling original and published data into a web app to convert insulin measurements from one assay to another. Data were available for ADVIA Centaur insulin chemiluminescent immunoassay (CLIA), Beckman Coulter insulin radioimmunoassay (RIA), Immulite 1000 CLIA, Immulite 2000 CLIA, Immulite 2000 XPi CLIA, Mercodia equine insulin enzyme-linked immunosorbent assay (ELISA), and Millipore porcine insulin RIA. Linear models were fitted for 13 assay pairs using non-decreasing splines, and integrated into this app. Assay comparisons including data from several studies showed a lower performance. This indicates technical variation between laboratories, which has not been described before, but is relevant when diagnostic measurements and cut-offs are provided by different laboratories. Nevertheless, the models’ overall high performance (median r2 = 0.94; range 0.57–1.00) supports their use to interpret results from diagnostic insulin measurements when the reference assay is unavailable, and to compare values obtained from different assays.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	insulin dysregulation, hyperinsulinaemia, equine metabolic syndrome, laminitis, cut-off, immunoassay
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Infection, Veterinary and Ecological Sciences
Depositing User:	Symplectic Admin
Date Deposited:	11 Sep 2023 08:01
Last Modified:	20 Sep 2023 16:59
DOI:	10.3390/ani13172704
Open Access URL:	https://www.mdpi.com/2076-2615/13/17/2704
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3172652