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In-silico analysis of interacting pathways through KIM-1 protein interaction in diabetic nephropathy

BACKGROUND: Human Kidney Injury Molecule-1, also known as HAVCR-1 (Hepatitis A virus cellular receptor 1), belongs to the cell-surface protein of immunoglobulin superfamily involved in the phagocytosis by acting as scavenger receptor epithelial cells. The study focused on pinpointing the mechanisms...

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Autores principales: Abid, F., Rubab, Z., Fatima, S., Qureshi, A., Azhar, A., Jafri, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290293/
https://www.ncbi.nlm.nih.gov/pubmed/35843953
http://dx.doi.org/10.1186/s12882-022-02876-7
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author Abid, F.
Rubab, Z.
Fatima, S.
Qureshi, A.
Azhar, A.
Jafri, A.
author_facet Abid, F.
Rubab, Z.
Fatima, S.
Qureshi, A.
Azhar, A.
Jafri, A.
author_sort Abid, F.
collection PubMed
description BACKGROUND: Human Kidney Injury Molecule-1, also known as HAVCR-1 (Hepatitis A virus cellular receptor 1), belongs to the cell-surface protein of immunoglobulin superfamily involved in the phagocytosis by acting as scavenger receptor epithelial cells. The study focused on pinpointing the mechanisms and genes that interact with KIM-1. METHODS: This in-silico study was done from March 2019 to December 2019. The Enrichment and protein-protein interaction (PPI) network carefully choose proteins. In addition, the diagramed gene data sets were accomplished using FunRich version 3.1.3. It was done to unveil the proteins that may affect the regulation of HAVCR1 or may be regulated by this protein. These genes were then further considered in pathway analysis to discover the dysregulated pathways in diabetic nephropathy. The long list of differentially expressed genes is meaningless without pathway analysis. RESULTS: Critical pathways that are dysregulated in diabetic nephropathy patients have been identified. These include Immune System (Total = 237, P < 0.05), Innate Immune System (Total = 140, P < 0.05), Cytokine Signaling Immune system (Total = 116, P < 0.05), Adaptive Immune System (Total = 85) and Neutrophil degranulation (Total = 78). CONCLUSION: The top 5 genes that are interacting directly with HIVCR1 include CASP3, CCL2, SPP1, B2M, and TIMP1 with degrees 161, 144, 108, 107, and 105 respectively for Immune system pathways (Innate Immune System, Cytokine Signaling Immune system, Adaptive Immune System and Neutrophil degranulation).
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spelling pubmed-92902932022-07-19 In-silico analysis of interacting pathways through KIM-1 protein interaction in diabetic nephropathy Abid, F. Rubab, Z. Fatima, S. Qureshi, A. Azhar, A. Jafri, A. BMC Nephrol Research BACKGROUND: Human Kidney Injury Molecule-1, also known as HAVCR-1 (Hepatitis A virus cellular receptor 1), belongs to the cell-surface protein of immunoglobulin superfamily involved in the phagocytosis by acting as scavenger receptor epithelial cells. The study focused on pinpointing the mechanisms and genes that interact with KIM-1. METHODS: This in-silico study was done from March 2019 to December 2019. The Enrichment and protein-protein interaction (PPI) network carefully choose proteins. In addition, the diagramed gene data sets were accomplished using FunRich version 3.1.3. It was done to unveil the proteins that may affect the regulation of HAVCR1 or may be regulated by this protein. These genes were then further considered in pathway analysis to discover the dysregulated pathways in diabetic nephropathy. The long list of differentially expressed genes is meaningless without pathway analysis. RESULTS: Critical pathways that are dysregulated in diabetic nephropathy patients have been identified. These include Immune System (Total = 237, P < 0.05), Innate Immune System (Total = 140, P < 0.05), Cytokine Signaling Immune system (Total = 116, P < 0.05), Adaptive Immune System (Total = 85) and Neutrophil degranulation (Total = 78). CONCLUSION: The top 5 genes that are interacting directly with HIVCR1 include CASP3, CCL2, SPP1, B2M, and TIMP1 with degrees 161, 144, 108, 107, and 105 respectively for Immune system pathways (Innate Immune System, Cytokine Signaling Immune system, Adaptive Immune System and Neutrophil degranulation). BioMed Central 2022-07-18 /pmc/articles/PMC9290293/ /pubmed/35843953 http://dx.doi.org/10.1186/s12882-022-02876-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Abid, F.
Rubab, Z.
Fatima, S.
Qureshi, A.
Azhar, A.
Jafri, A.
In-silico analysis of interacting pathways through KIM-1 protein interaction in diabetic nephropathy
title In-silico analysis of interacting pathways through KIM-1 protein interaction in diabetic nephropathy
title_full In-silico analysis of interacting pathways through KIM-1 protein interaction in diabetic nephropathy
title_fullStr In-silico analysis of interacting pathways through KIM-1 protein interaction in diabetic nephropathy
title_full_unstemmed In-silico analysis of interacting pathways through KIM-1 protein interaction in diabetic nephropathy
title_short In-silico analysis of interacting pathways through KIM-1 protein interaction in diabetic nephropathy
title_sort in-silico analysis of interacting pathways through kim-1 protein interaction in diabetic nephropathy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290293/
https://www.ncbi.nlm.nih.gov/pubmed/35843953
http://dx.doi.org/10.1186/s12882-022-02876-7
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