<i>Immuno-</i>μSARS2 Chip: A Peptide-Based Microarray to Assess COVID-19 Prognosis Based on Immunological Fingerprints
A multiplexed microarray chip (<i>Immuno</i>-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 mm<sup>2</sup> 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 <i>Immuno</i>-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 <i>exitus</i>) 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 <i>exitus</i> 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 <i>Immuno</i>-μSARS2 regarding progression of the disease and could be easily implemented in diagnostics of other infectious diseases.
Authors
- Daniel Pulido (ORCID: https://orcid.org/0000-0002-2841-194X)
- Ginevra Berardi
- Juan Pablo Horcajada (ORCID: https://orcid.org/0000-0001-9873-5459)
- J.‐Pablo Salvador (ORCID: https://orcid.org/0000-0002-3608-0634)
- Roger Galvé (ORCID: https://orcid.org/0000-0001-6189-5037)
- Silvia Castañeda
- Santiago Marco (ORCID: https://orcid.org/0000-0003-2663-2965)
- Míriam Royo (ORCID: https://orcid.org/0000-0001-5292-0819)
- M.‐Pilar Marco (ORCID: https://orcid.org/0000-0002-4064-1668)
- Luciano D. Sappia (ORCID: https://orcid.org/0000-0001-8474-0142)
- Julián Guercetti (ORCID: https://orcid.org/0000-0002-5633-9156)
- Alícia Lacoma (ORCID: https://orcid.org/0000-0002-2049-3872)
- A. Gutiérrez-Gálvez (ORCID: https://orcid.org/0000-0002-1162-4965)
- Elena Sendra (ORCID: https://orcid.org/0000-0002-4374-2173)
- Marc Alorda
- Jose María Martín Muñoz
- Eduardo Padilla
- Macarena Duran-Corbera
Institutions
- Instituto de Salud Carlos III (ES)
- Centro de Investigación en Red en Enfermedades Cardiovasculares (ES)
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES)
- Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES)
- Centro de Investigación Biomédica en Red (ES)
- Institute of Advanced Chemistry of Catalonia (ES)
- Hospital Del Mar (ES)
- Institute for Bioengineering of Catalonia (ES)
- Hospital Universitari Germans Trias i Pujol (ES)
- Universitat de Barcelona (ES)
Publication Details
- Journal
- ACS Pharmacology & Translational Science
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1021/acsptsci.4c00727
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina
- Universitat de Barcelona
- Institute for Bioengineering of Catalonia
- Consejo Superior de Investigaciones Científicas
- Instituto de Salud Carlos III