PXD021581 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Prognostic accuracy of Mass Spectrometric Analysis of Plasma in COVID-19 |
Description | SARS-CoV-2 infection poses a worldwide public health problem affecting millions of people worldwide. There is a critical need for improvements in the noninvasive prognosis of COVID-19. We hypothesized that matrix-assisted laser desorption ionization mass spectrometry (MALDI-TOF MS) analysis combined with molecular-weight directed bottom-up proteomic analysis of plasma proteins may predict high and low risk cases of COVID-19. Patients and Methods: We used MALDI MS to analyze plasma small proteins and peptides isolated using C18 micro-columns from a cohort containing a total of 117 cases of high and low risk cases split into training (n = 88) and validation sets (n= 29). The plasma protein/peptide fingerprint obtained was used to train the algorithm before validation using a blinded test cohort. Several sample preparation, MS and data analysis parameters were optimized to achieve an overall accuracy of 85%, a sensitivity of 90%, and a specificity of 81% in the training set. In the blinded test set, this signature reached an overall accuracy of 93.1%, a sensitivity of 87.5%, and a specificity of 100%. From this signature, we identified two distinct regions corresponding to the single and doubly protonated proteins in the MALDI-TOF profile belonging to the same proteoforms. A combination of 1D 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. We found a plasma proteomic profile that discriminates against patients with high and low risk COVID-19. Proteomic analysis of C18-fractionated plasma may have a role in the noninvasive prognosis of COVID-19. Further validation will be important to consolidate its clinical utility. |
HostingRepository | PRIDE |
AnnounceDate | 2021-06-22 |
AnnouncementXML | Submission_2021-06-21_22:41:19.378.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Giuseppe Palmisano |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | monohydroxylated residue; iodoacetamide derivatized residue |
Instrument | LTQ Orbitrap Velos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2020-09-21 00:07:08 | ID requested | |
⏵ 1 | 2021-06-21 22:41:19 | announced | |
Publication List
Dataset with its publication pending |
Keyword List
ProteomeXchange project tag: Sars-cov-2, Covid-19 |
submitter keyword: COVID-19, SARS-CoV-2, Mass spectrometry, Biomarker, Plasma, Prognosis |
Contact List
Giuseppe Palmisano |
contact affiliation | Glycoproteomics Laboratory, Department of Parasitology, ICB, University of São Paulo, Brazil Av. Prof. Lineu Prestes, 1374 05508-900 - São Paulo – SP - Brazil Tel: + 55-11-99920-8662 palmisano.gp@gmail.com palmisano.gp@usp.br |
contact email | palmisano.gp@gmail.com |
lab head | |
Giuseppe Palmisano |
contact affiliation | University of Sao Paulo |
contact email | palmisano.gp@gmail.com |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD021581
- Label: PRIDE project
- Name: Prognostic accuracy of Mass Spectrometric Analysis of Plasma in COVID-19