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Identification of potential biomarkers to predict organ morbidity in COVID-19: A repository based proteomics perspective

SARS-CoV-2 causes substantial extrapulmonary manifestations in addition to pulmonary disease. Some of the major organs affected are cardiovascular, hematological and thrombotic, renal, neurological, and digestive systems. These types of muti-organ dysfunctions make it difficult and challenging for c...

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Autores principales: Bandyopadhyay, Sabyasachi, Rajan, Madhan Vishal, Kaur, Punit, Hariprasad, Gururao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235674/
https://www.ncbi.nlm.nih.gov/pubmed/37304132
http://dx.doi.org/10.1016/j.bbrep.2023.101493
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author Bandyopadhyay, Sabyasachi
Rajan, Madhan Vishal
Kaur, Punit
Hariprasad, Gururao
author_facet Bandyopadhyay, Sabyasachi
Rajan, Madhan Vishal
Kaur, Punit
Hariprasad, Gururao
author_sort Bandyopadhyay, Sabyasachi
collection PubMed
description SARS-CoV-2 causes substantial extrapulmonary manifestations in addition to pulmonary disease. Some of the major organs affected are cardiovascular, hematological and thrombotic, renal, neurological, and digestive systems. These types of muti-organ dysfunctions make it difficult and challenging for clinicians to manage and treat COVID-19 patients. The article focuses to identify potential protein biomarkers that can flag various organ systems affected in COVID-19. Publicly reposited high throughput proteomic data from human serum (HS), HEK293T/17 (HEK) and Vero E6 (VE) kidney cell culture were downloaded from ProteomeXchange consortium. The raw data was analyzed in Proteome Discoverer 2.4 to delineate the complete list of proteins in the three studies. These proteins were analyzed in Ingenuity Pathway Analysis (IPA) to associate them to various organ diseases. The shortlisted proteins were analyzed in MetaboAnalyst 5.0 to shortlist potential biomarker proteins. These were then assessed for disease-gene association in DisGeNET and validated by Protein-protein interactome (PPI) and functional enrichment studies (GO_BP, KEGG and Reactome pathways) in STRING. Protein profiling resulted in shortlisting 20 proteins in 7 organ systems. Of these 15 proteins showed at least 1.25-fold changes with a sensitivity and specificity of 70%. Association analysis further shortlisted 10 proteins with a potential association with 4 organ diseases. Validation studies established possible interacting networks and pathways affected, confirmingh the ability of 6 of these proteins to flag 4 different organ systems affected in COVID-19 disease. This study helps to establish a platform to seek protein signatures in different clinical phenotypes of COVID-19. The potential biomarker candidates that can flag organ systems involved are: (a) Vitamin K-dependent protein S and Antithrombin-III for hematological disorders; (b) Voltage-dependent anion-selective channel protein 1 for neurological disorders; (c) Filamin-A for cardiovascular disorder and, (d) Peptidyl-prolyl cis-trans isomerase A and Peptidyl-prolyl cis-trans isomerase FKBP1A for digestive disorders.
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spelling pubmed-102356742023-06-02 Identification of potential biomarkers to predict organ morbidity in COVID-19: A repository based proteomics perspective Bandyopadhyay, Sabyasachi Rajan, Madhan Vishal Kaur, Punit Hariprasad, Gururao Biochem Biophys Rep Research Article SARS-CoV-2 causes substantial extrapulmonary manifestations in addition to pulmonary disease. Some of the major organs affected are cardiovascular, hematological and thrombotic, renal, neurological, and digestive systems. These types of muti-organ dysfunctions make it difficult and challenging for clinicians to manage and treat COVID-19 patients. The article focuses to identify potential protein biomarkers that can flag various organ systems affected in COVID-19. Publicly reposited high throughput proteomic data from human serum (HS), HEK293T/17 (HEK) and Vero E6 (VE) kidney cell culture were downloaded from ProteomeXchange consortium. The raw data was analyzed in Proteome Discoverer 2.4 to delineate the complete list of proteins in the three studies. These proteins were analyzed in Ingenuity Pathway Analysis (IPA) to associate them to various organ diseases. The shortlisted proteins were analyzed in MetaboAnalyst 5.0 to shortlist potential biomarker proteins. These were then assessed for disease-gene association in DisGeNET and validated by Protein-protein interactome (PPI) and functional enrichment studies (GO_BP, KEGG and Reactome pathways) in STRING. Protein profiling resulted in shortlisting 20 proteins in 7 organ systems. Of these 15 proteins showed at least 1.25-fold changes with a sensitivity and specificity of 70%. Association analysis further shortlisted 10 proteins with a potential association with 4 organ diseases. Validation studies established possible interacting networks and pathways affected, confirmingh the ability of 6 of these proteins to flag 4 different organ systems affected in COVID-19 disease. This study helps to establish a platform to seek protein signatures in different clinical phenotypes of COVID-19. The potential biomarker candidates that can flag organ systems involved are: (a) Vitamin K-dependent protein S and Antithrombin-III for hematological disorders; (b) Voltage-dependent anion-selective channel protein 1 for neurological disorders; (c) Filamin-A for cardiovascular disorder and, (d) Peptidyl-prolyl cis-trans isomerase A and Peptidyl-prolyl cis-trans isomerase FKBP1A for digestive disorders. Elsevier 2023-06-02 /pmc/articles/PMC10235674/ /pubmed/37304132 http://dx.doi.org/10.1016/j.bbrep.2023.101493 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Bandyopadhyay, Sabyasachi
Rajan, Madhan Vishal
Kaur, Punit
Hariprasad, Gururao
Identification of potential biomarkers to predict organ morbidity in COVID-19: A repository based proteomics perspective
title Identification of potential biomarkers to predict organ morbidity in COVID-19: A repository based proteomics perspective
title_full Identification of potential biomarkers to predict organ morbidity in COVID-19: A repository based proteomics perspective
title_fullStr Identification of potential biomarkers to predict organ morbidity in COVID-19: A repository based proteomics perspective
title_full_unstemmed Identification of potential biomarkers to predict organ morbidity in COVID-19: A repository based proteomics perspective
title_short Identification of potential biomarkers to predict organ morbidity in COVID-19: A repository based proteomics perspective
title_sort identification of potential biomarkers to predict organ morbidity in covid-19: a repository based proteomics perspective
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235674/
https://www.ncbi.nlm.nih.gov/pubmed/37304132
http://dx.doi.org/10.1016/j.bbrep.2023.101493
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