Immuno- μSARS2 Chip: A Peptide-based microarray to assess COVID-19 prognosis based on immunological fingerprints

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 technolog...

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Detalles Bibliográficos
Autores: Guercetti, Julian, Alorda, Marc, Sappia, Luciano, Galve, Roger, Duran-Corbera, Macarena, Pulido, Daniel, Berardi, Ginevra, Royo, Miriam, Lacoma, Alicia, Muñoz, José, Padilla, Eduardo, Castañeda, Silvia, Sendra, Elena, Horcajada Gallego, Juan Pablo, Gutierrez-Galvez, Agustín, Marco Sola, Santiago, Salvador, J-Pablo, Marco, M-Pilar
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/70282
Acceso en línea:http://hdl.handle.net/10230/70282
http://dx.doi.org/10.1021/acsptsci.4c00727
Access Level:acceso abierto
Palabra clave:Microarray
High-throughput
Serological signature
Peptide epitopes
Multiplexation
Machine learning
Clinical diagnostic
Severity prediction
SARS-CoV-2
Descripción
Sumario: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.