| Full text | |
| Author(s): Show less - |
Lazari, Lucas Cardoso
[1]
;
Ghilardi, Fabio De Rose
[2]
;
Rosa-Fernandes, Livia
[1]
;
Assis, Diego M.
[3]
;
Nicolau, Jose Carlos
[4]
;
Santiago, Veronica Feijoli
[1]
;
Dalcoquio, Talia Falcao
[4]
;
Angeli, Claudia B.
[1]
;
Bertolin, Adriadne Justi
[4]
;
Marinho, Claudio R. F.
[1]
;
Wrenger, Carsten
[1]
;
Durigon, Edison Luiz
[5]
;
Siciliano, Rinaldo Focaccia
[4]
;
Palmisano, Giuseppe
[1]
Total Authors: 14
|
| Affiliation: | [1] Univ Sao Paulo, Inst Biomed Sci, Dept Parasitol, Sao Paulo - Brazil
[2] Univ Sao Paulo, Inst Med Trop, Sao Paulo - Brazil
[3] Bruker Brasil, Atibaia, SP - Brazil
[4] Univ Sao Paulo, Heart Inst InCor, Med Sch, Sao Paulo - Brazil
[5] Univ Sao Paulo, Inst Biomed Sci, Dept Microbiol, Sao Paulo - Brazil
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | LIFE SCIENCE ALLIANCE; v. 4, n. 8 AUG 2021. |
| Web of Science Citations: | 2 |
| Abstract | |
SARS-CoV-2 infection poses a global health crisis. In parallel with the ongoing world effort to identify therapeutic solutions, there is a critical need for improvement in the prognosis of COVID-19. Here, we report plasma proteome fingerprinting that predict high (hospitalized) and low-risk (outpatients) cases of COVID-19 identified by a platform that combines machine learning with matrix-assisted laser desorption ionization mass spectrometry analysis. Sample preparation, MS, and data analysis parameters were optimized to achieve an overall accuracy of 92%, sensitivity of 93%, and specificity of 92% in dataset without feature selection. We identified two distinct regions in the MALDI-TOF profile belonging to the same proteoforms. A combination of SDS-PAGE and quantitative bottom-up proteomic analysis allowed the identification of intact and truncated forms of serum amyloid A-1 and A-2 proteins, both already described as biomarkers for viral infections in the acute phase. Unbiased discrimination of high-and low-risk COVID-19 patients using a technology that is currently in clinical use may have a prompt application in the noninvasive prognosis of COVID-19. Further validation will consolidate its clinical utility. (AU) | |
| FAPESP's process: | 20/04705-2 - Diagnostic and prognostic study of SARS-CoV-2 and Influenza virus infection |
| Grantee: | José Carlos Nicolau |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 18/15549-1 - Post-translational modifications in Chagas Disease biological processes and diagnostics: novel methodological approaches and biological applications |
| Grantee: | Giuseppe Palmisano |
| Support Opportunities: | Research Grants - Young Investigators Grants - Phase 2 |
| FAPESP's process: | 17/03966-4 - Targeting lipoic acid salvage and biosynthesis pathways in MRSA |
| Grantee: | Carsten Wrenger |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 15/26722-8 - Drug discovery against human infectious diseases |
| Grantee: | Carsten Wrenger |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 18/20468-0 - Recrudescence of the malaria during pregnancy: effects and mechanisms |
| Grantee: | Cláudio Romero Farias Marinho |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 20/04923-0 - SARS-CoV-2 glycosylation: a blueprint structural insight for understanding COVID-19 pathogenesis |
| Grantee: | Giuseppe Palmisano |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 18/18257-1 - Multi-user equipment approved in grant 14/06863-3: HPLC system configured for analysis of carbohydrates, amino acidis, peptides and glycoproteins |
| Grantee: | Giuseppe Palmisano |
| Support Opportunities: | Multi-user Equipment Program |