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PXD053440

PXD053440 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleSerum proteomics for the identification of biomarkers to flag predilection of COVID-19 patients to various organ morbidities
DescriptionCOVID-19 is a pandemic that has affected millions around the world since March 2020. While many patients recovered completely with mild illness, many patients succumbed to various organ morbidities. This heterogeneity in the clinical presentation of COVID-19 infection has posed a challenge to clinicians around the world. It is therefore crucial to identify specific organ-related morbidity for effective treatment and better patient outcomes. we have carried out serum based proteomic experiments to identify protein biomarkers that can flag organ dysfunctions in COVID19 patients. COVID-19 patients were screened and tested at various hospitals across new delhi, India. 110 serum samples from these patients, with and without organ morbidities were collected and annotated based on clinical presentation and treatment history. Of these, 29 samples comprising of heart, lung, kidney, gastrointestinal, liver, and neurological morbidities were considered for the discovery phase of the experiment. Proteins were isolated, quantified, trypsin digested, and the peptides were subjected to mass spectrometric analysis using an Orbitrap Fusion Tribrid Mass Spectrometer (Thermo Fisher Scientific). Data analysis were carried out using Proteome Discoverer software (ver 2.4). Fold change analysis was carried out on MetaboAnalyst (ver 5). Potential biomarker candidates for various organ morbidities were validated using ELISA. KEGG, Reactome, and Wiki Pathway analysis of differentially expressed proteins was carried out using the STRING database. 254 unique proteins were identified across all the samples with a subset of 12-31 differentially expressed proteins (Fold change: X2) in each of the clinical phenotypes. These proteins establish complement and coagulation cascade pathways in the pathogenesis of the organ morbidities. Validation experiments confirm Secreted Protein Acidic and Rich in Cysteine, Cystatin C, and Catalase as potential biomarker candidates that can flag cardiovascular disease, renal disease, and respiratory disease, respectively. Label free serum proteomics shows differential protein expression in COVID-19 patients with morbidity as compared to those without morbidity. The identified biomarker candidates provide an opportunity to develop translational tools to diagnose specific organ morbidities in COVID-19 for efficient patient care.
HostingRepositoryPRIDE
AnnounceDate2025-05-07
AnnouncementXMLSubmission_2025-05-06_21:01:12.521.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterGURURAO HARIPRASAD
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListacetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentOrbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-06-26 16:10:17ID requested
12025-05-06 21:01:13announced
Publication List
Rajan MV, Sharma V, Upadhyay N, Murali A, Bandyopadhyay S, Hariprasad G, Serum proteomics for the identification of biomarkers to flag predilection of COVID19 patients to various organ morbidities. Clin Proteomics, 21(1):61(2024) [pubmed]
10.1186/s12014-024-09512-6;
Keyword List
submitter keyword: complement factors,COVID19, clinical proteomics, coagulation factors, organ morbidity, biomarkers, differential protein expression
Contact List
Gururao Hariprasad
contact affiliationDeapartment of Biophysics, All India Institute of MedicalSciences, New Delhi, India
contact emaildr.hariprasadg@gmail.com
lab head
GURURAO HARIPRASAD
contact affiliationDepartment of Biophysics All India Institute of Medical Sciences New Delhi India
contact emaildr.hariprasadg@gmail.com
dataset submitter
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