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In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients

Dengue fever is the fastest-growing infectious disease in the world. It is the leading vector-borne viral neglected tropical disease. The most acute immune response to dengue virus infection is dengue shock syndrome and hemorrhagic fever, which is due to the activation of CLEC5A C-type lectin domain...

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Autores principales: Suchanti, Surabhi, Stephen, Bjorn John, Chaurasia, Tejulal Prasad, Raghuwanshi, Amit Prakash, Singh, Gyanendra, Singh, Abhijeet, Mishra, Rajeev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320400/
https://www.ncbi.nlm.nih.gov/pubmed/37415850
http://dx.doi.org/10.1016/j.bbrep.2023.101501
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author Suchanti, Surabhi
Stephen, Bjorn John
Chaurasia, Tejulal Prasad
Raghuwanshi, Amit Prakash
Singh, Gyanendra
Singh, Abhijeet
Mishra, Rajeev
author_facet Suchanti, Surabhi
Stephen, Bjorn John
Chaurasia, Tejulal Prasad
Raghuwanshi, Amit Prakash
Singh, Gyanendra
Singh, Abhijeet
Mishra, Rajeev
author_sort Suchanti, Surabhi
collection PubMed
description Dengue fever is the fastest-growing infectious disease in the world. It is the leading vector-borne viral neglected tropical disease. The most acute immune response to dengue virus infection is dengue shock syndrome and hemorrhagic fever, which is due to the activation of CLEC5A C-type lectin domain family 5, member A (CLEC5A). It is a cell surface receptor, and its well-known ligand is the dengue virus. It gets activated by the attachment of dengue virion, which, as a result, phosphorylates its adaptor protein DAP12 leading to the induction of various pro-inflammatory cytokines. Clinical data suggested that the kidneys and lungs are among the major hit organs in the case of severe dengue infection. Here we predict kidney and lung cancer patients are vulnerable to dengue virus infection as CLEC5A mRNA expression in tumor samples using publicly available software such as TIMER and GEPIA database. We also identified the immunomodulatory role CLEC5A gene therefore targeting it could be a vital tool to cure dengue.
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spelling pubmed-103204002023-07-06 In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients Suchanti, Surabhi Stephen, Bjorn John Chaurasia, Tejulal Prasad Raghuwanshi, Amit Prakash Singh, Gyanendra Singh, Abhijeet Mishra, Rajeev Biochem Biophys Rep Research Article Dengue fever is the fastest-growing infectious disease in the world. It is the leading vector-borne viral neglected tropical disease. The most acute immune response to dengue virus infection is dengue shock syndrome and hemorrhagic fever, which is due to the activation of CLEC5A C-type lectin domain family 5, member A (CLEC5A). It is a cell surface receptor, and its well-known ligand is the dengue virus. It gets activated by the attachment of dengue virion, which, as a result, phosphorylates its adaptor protein DAP12 leading to the induction of various pro-inflammatory cytokines. Clinical data suggested that the kidneys and lungs are among the major hit organs in the case of severe dengue infection. Here we predict kidney and lung cancer patients are vulnerable to dengue virus infection as CLEC5A mRNA expression in tumor samples using publicly available software such as TIMER and GEPIA database. We also identified the immunomodulatory role CLEC5A gene therefore targeting it could be a vital tool to cure dengue. Elsevier 2023-06-26 /pmc/articles/PMC10320400/ /pubmed/37415850 http://dx.doi.org/10.1016/j.bbrep.2023.101501 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
Suchanti, Surabhi
Stephen, Bjorn John
Chaurasia, Tejulal Prasad
Raghuwanshi, Amit Prakash
Singh, Gyanendra
Singh, Abhijeet
Mishra, Rajeev
In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients
title In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients
title_full In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients
title_fullStr In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients
title_full_unstemmed In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients
title_short In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients
title_sort in-silico clec5a mrna expression analysis to predict dengue susceptibility in cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320400/
https://www.ncbi.nlm.nih.gov/pubmed/37415850
http://dx.doi.org/10.1016/j.bbrep.2023.101501
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