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A preliminary method development study to identify potential stroke biomarkers in plasma using multiple chromatographies with nanoLC-ESIMS detection.

ABSTRACT: Stroke is the leading cause of disability in the USA. Rapid, reliable diagnosis via a point-of-care blood test may facilitate earlier treatment to reduce disability. We have recently reported detailed methods of chromatographic separations of plasma samples coupled with nanoESI-ion trap a list of proteins which are viable candidates for further investigation as stroke biomarkers.

SUBMITTER: Kodali P

PROVIDER: S-EPMC4739646 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature

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A preliminary method development study to identify potential stroke biomarkers in plasma using multiple chromatographies with nanoLC-ESIMS detection.

Kodali Phanichand P Landero-Figueroa Julio A JA Caruso Joseph J Adeoye Opeolu O

Journal of neural transmission (Vienna, Austria : 1996) 20130413 10

Stroke is the leading cause of disability in the USA. Rapid, reliable diagnosis via a point-of-care blood test may facilitate earlier treatment to reduce disability. We have recently reported detailed methods of chromatographic separations of plasma samples coupled with nanoESI-ion trap a list of proteins which are viable candidates for further investigation as stroke biomarkers. ...[more]

PMID: 23580158

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Project description:PurposeCoronavirus 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.Experimental designWe systematically analyzed plasma proteomes of COVID-19 patients from Turkey by using mass spectrometry. Different severity grades (moderate, severe, and critical) and periods of disease (early, inflammatory, and recovery) are monitored. Significant alterations in protein expressions are used to reconstruct the COVID-19 associated network that was further extended to connect viral and host proteins.ResultsAcross all COVID-19 patients, 111 differentially expressed proteins were found, of which 28 proteins were unique to our study mainly enriching in immunoglobulin production. By monitoring different severity grades and periods of disease, CLEC3B, MST1, and ITIH2 were identified as potential early predictors of COVID-19 severity. Most importantly, we extended the COVID-19 associated network with viral proteins and showed the connectedness of viral proteins with human proteins. The most connected viral protein ORF8, which has a role in immune evasion, targets many host proteins tightly connected to the deregulated human plasma proteins.Conclusions and clinical relevancePlasma proteomes from critical patients are intrinsically clustered in a distinct group than severe and moderate patients. Importantly, we did not recover any grouping based on the infection period, suggesting their distinct proteome even in the recovery phase. The new potential early severity markers can be further studied for their value in the clinics to monitor COVID-19 prognosis. Beyond the list of plasma proteins, our disease-associated network unravels altered pathways, and the possible therapeutic targets in SARS-CoV-2 infection by connecting human and viral proteins. Follow-up studies on the disease associated network that we propose here will be useful to determine molecular details of viral perturbation and to address how the infection affects human physiology.

Dataset Information

A preliminary method development study to identify potential stroke biomarkers in plasma using multiple chromatographies with nanoLC-ESIMS detection.

Publications

A preliminary method development study to identify potential stroke biomarkers in plasma using multiple chromatographies with nanoLC-ESIMS detection.

Similar Datasets

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