dc.contributor.author
Guercetti, Julian
dc.contributor.author
Alorda, Marc
dc.contributor.author
Sappia, Luciano
dc.contributor.author
Galve, Roger
dc.contributor.author
Duran-Corbera, Macarena
dc.contributor.author
Pulido, Daniel
dc.contributor.author
Berardi, Ginevra
dc.contributor.author
Royo, Miriam
dc.contributor.author
Lacorna, Alicia
dc.contributor.author
Muñoz Gutiérrez, José
dc.contributor.author
Padilla, Eduardo
dc.contributor.author
Castañeda, Silvia
dc.contributor.author
Sendra, Elena
dc.contributor.author
Horcajada Gallego, Juan Pablo
dc.contributor.author
Gutiérrez Gálvez, Agustín
dc.contributor.author
Marco Colás, Santiago
dc.contributor.author
Salvador, J. Pablo
dc.contributor.author
Marco, M. Pilar
dc.date.issued
2025-05-02T14:33:07Z
dc.date.issued
2025-05-02T14:33:07Z
dc.date.issued
2025-02-21
dc.date.issued
2025-05-02T14:33:07Z
dc.identifier
https://hdl.handle.net/2445/220776
dc.description.abstract
A multiplexed microarray chip (Immuno-μSARS2) aiming at providing information on the prognosis of the COVID-19 has been developed. The diagnostic technology records information related to the profile of the immunological response of patients infected by the SARS-CoV-2 virus. The diagnostic technology delivers information on the avidity of the sera against 28 different peptide epitopes and 7 proteins printed on a 25 mm2 area of a glass slide. The peptide epitopes (12–15 mer) derived from structural proteins (Spike and Nucleocapsid) have been rationally designed, synthesized, and used to develop Immuno-μSARS2 as a multiplexed and high-throughput fluorescent microarray platform. The analysis of 755 human serum samples (321 from PCR+ patients; 288 from PCR– patients; 115 from prepandemic individuals and classified as hospitalized, admitted to intensive-care unit (ICU), and exitus) from three independent cohorts has shown that the chips perform with a 98% specificity and 91% sensitivity identifying RT-PCR+ patients. Computational analysis utilized to correlate the immunological signatures of the samples analyzed indicate significant prediction rates against exitus conditions with 82% accuracy, ICU admissions with 80% accuracy, and 73% accuracy over hospitalization requirement compared to asymptomatic patients’ fingerprints. The miniaturized microarray chip allows simultaneous determination of 96 samples (24 samples/slide) in 90 min and requires only 10 μL of sera. The diagnostic approach presented for the first time here could have a great value in assisting clinicians in decision-making based on the information provided by the Immuno-μSARS2 regarding progression of the disease and could be easily implemented in diagnostics of other infectious diseases.
dc.format
application/pdf
dc.relation
Reproducció del document publicat a: https://doi.org/10.1021/acsptsci.4c00727
dc.relation
American Chemical Society, 2025, vol. 8, num.3
dc.relation
https://doi.org/10.1021/acsptsci.4c00727
dc.rights
cc-by (c) Guercetti, Julian et al., 2025
dc.rights
http://creativecommons.org/licenses/by/3.0/es/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)
dc.subject
Aprenentatge automàtic
dc.subject
Machine learning
dc.title
Immuno-μSARS2 Chip: A Peptide-Based Microarray to Assess COVID-19 Prognosis Based on Immunological Fingerprints
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion