1. Integration of Multiple Interferometers in Highly Multiplexed Diagnostic KITs to Evaluate Several Biomarkers of COVID-19 in Serum
- Author
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Ana María M. Murillo, Luis G. Valle, Yolanda Ramírez, María Jesús Sánchez, Beatriz Santamaría, E. Molina-Roldan, Isabel Ortega-Madueño, Elena Urcelay, Luca Tramarin, Pedro Herreros, Araceli Díaz-Perales, María Garrido-Arandia, Jaime Tome-Amat, Guadalupe Hernández-Ramírez, Rocío L. Espinosa, María F. Laguna, and Miguel Holgado
- Subjects
COVID-19 biomarkers ,SARS-CoV-2 ,serum ,immunoglobulin ,ferritin ,interferometric optical detection method ,Biotechnology ,TP248.13-248.65 - Abstract
In the present work, highly multiplexed diagnostic KITs based on an Interferometric Optical Detection Method (IODM) were developed to evaluate six Coronavirus Disease 2019 (COVID-19)-related biomarkers. These biomarkers of COVID-19 were evaluated in 74 serum samples from severe, moderate, and mild patients with positive polymerase chain reaction (PCR), collected at the end of March 2020 in the Hospital Clínico San Carlos, in Madrid (Spain). The developed multiplexed diagnostic KITs were biofunctionalized to simultaneously measure different types of specific biomarkers involved in COVID-19. Thus, the serum samples were investigated by measuring the total specific Immunoglobulins (sIgT), specific Immunoglobulins G (sIgG), specific Immunoglobulins M (sIgM), specific Immunoglobulins A (sIgA), all of them against SARS-CoV-2, together with two biomarkers involved in inflammatory disorders, Ferritin (FER) and C Reactive Protein (CRP). To assess the results, a Multiple Linear Regression Model (MLRM) was carried out to study the influence of IgGs, IgMs, IgAs, FER, and CRP against the total sIgTs in these serum samples with a goodness of fit of 73.01% (Adjusted R-Squared).
- Published
- 2022
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