Proteomics

Dataset Information

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Plasma Proteomics Reveal COVID-19 Associated Network and Severity Biomarkers


ABSTRACT: Coronavirus disease 2019 (COVID-19) has been threatening public health for the last 3 years globally. So far, the pathophysiology of the disease and therapeutic strategies have not clearly known yet. In this project, performing label-free plasma proteomics analysis, we aimed at identifying severity biomarkers for COVID-19 prognosis and proposing potential drugs against the disease symptoms by building the signaling network of significantly regulated proteins and finding the corresponding virus-host interactions. A total of 38 plasma samples from 13 COVID-19 PCR positive individuals and 5 plasma samples from healthy individuals were collected for the analysis. According to the WHO criteria, the severity of our patients was categorized as moderate (n=4), severe (n=3), and critical (n=6). Also, blood samples were collected in different time points after the symptom onset: (1) 1-5 day (± 2 days); early infection, (2) 5-15 days (± 2 days); inflammatory response, and after 15 days (± 2 days); recovery which shows the first PCR negative result from a nasal swab. In summary, we found significantly regulated proteins between COVID-19 patients and uninfected individuals and proposed some critical patient-specific prognostic biomarkers, which can be used as an early predictor of the disease severity. Also, we created a COVID-19 related plasma protein network modulated by SARS-CoV2 viral proteins and indicated clinically significant targets for the disease symptoms.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human) Severe Acute Respiratory Syndrome Coronavirus 2

TISSUE(S): Blood Cell, Blood Plasma

SUBMITTER: Ali Yurtseven  

LAB HEAD: Nurhan Ozlu

PROVIDER: PXD031813 | Pride | 2023-03-11

REPOSITORIES: Pride

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Publications

Plasma proteomics identify potential severity biomarkers from COVID-19 associated network.

Sahin Ayse Tugce AT   Yurtseven Ali A   Dadmand Sina S   Ozcan Gulin G   Akarlar Busra A BA   Kucuk Nazli Ezgi Ozkan NEO   Senturk Aydanur A   Ergonul Onder O   Can Fusun F   Tuncbag Nurcan N   Ozlu Nurhan N  

Proteomics. Clinical applications 20221025 2


<h4>Purpose</h4>Coronavirus disease 2019 (COVID-19) continues to threaten public health globally. Severe acute respiratory coronavirus type 2 (SARS-CoV-2) infection-dependent alterations in the host cell signaling network may unveil potential target proteins and pathways for therapeutic strategies. In this study, we aim to define early severity biomarkers and monitor altered pathways in the course of SARS-CoV-2 infection.<h4>Experimental design</h4>We systematically analyzed plasma proteomes of  ...[more]

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