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Cadherin and Wnt signaling pathways as key regulators in diabetic nephropathy

AIM: A recent meta-analysis of genome-wide linkage studies (GWLS) has identified multiple genetic regions suggestive of linkage with DN harboring hundreds of genes. Moving this number of genetic loci forward into biological insight is truly the next step. Here, we approach this challenge with a gene...

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Autores principales: Tziastoudi, Maria, Tsezou, Aspasia, Stefanidis, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375992/
https://www.ncbi.nlm.nih.gov/pubmed/34411124
http://dx.doi.org/10.1371/journal.pone.0255728
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author Tziastoudi, Maria
Tsezou, Aspasia
Stefanidis, Ioannis
author_facet Tziastoudi, Maria
Tsezou, Aspasia
Stefanidis, Ioannis
author_sort Tziastoudi, Maria
collection PubMed
description AIM: A recent meta-analysis of genome-wide linkage studies (GWLS) has identified multiple genetic regions suggestive of linkage with DN harboring hundreds of genes. Moving this number of genetic loci forward into biological insight is truly the next step. Here, we approach this challenge with a gene ontology (GO) analysis in order to yield biological and functional role to the genes, an over-representation test to find which GO terms are enriched in the gene list, pathway analysis, as well as protein network analysis. METHOD: GO analysis was performed using protein analysis through evolutionary relationships (PANTHER) version 14.0 software and P-values less than 0.05 were considered statistically significant. GO analysis was followed by over-representation test for the identification of enriched terms. Statistical significance was calculated by Fisher’s exact test and adjusted using the false discovery rate (FDR) for correction of multiple tests. Cytoscape with the relevant plugins was used for the construction of the protein network and clustering analysis. RESULTS: The GO analysis assign multiple GO terms to the genes regarding the molecular function, the biological process and the cellular component, protein class and pathway analysis. The findings of the over-representation test highlight the contribution of cell adhesion regarding the biological process, integral components of plasma membrane regarding the cellular component, chemokines and cytokines with regard to protein class, while the pathway analysis emphasizes the contribution of Wnt and cadherin signaling pathways. CONCLUSIONS: Our results suggest that a core feature of the pathogenesis of DN may be a disturbance in Wnt and cadherin signaling pathways, whereas the contribution of chemokines and cytokines need to be studied in additional studies.
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spelling pubmed-83759922021-08-20 Cadherin and Wnt signaling pathways as key regulators in diabetic nephropathy Tziastoudi, Maria Tsezou, Aspasia Stefanidis, Ioannis PLoS One Research Article AIM: A recent meta-analysis of genome-wide linkage studies (GWLS) has identified multiple genetic regions suggestive of linkage with DN harboring hundreds of genes. Moving this number of genetic loci forward into biological insight is truly the next step. Here, we approach this challenge with a gene ontology (GO) analysis in order to yield biological and functional role to the genes, an over-representation test to find which GO terms are enriched in the gene list, pathway analysis, as well as protein network analysis. METHOD: GO analysis was performed using protein analysis through evolutionary relationships (PANTHER) version 14.0 software and P-values less than 0.05 were considered statistically significant. GO analysis was followed by over-representation test for the identification of enriched terms. Statistical significance was calculated by Fisher’s exact test and adjusted using the false discovery rate (FDR) for correction of multiple tests. Cytoscape with the relevant plugins was used for the construction of the protein network and clustering analysis. RESULTS: The GO analysis assign multiple GO terms to the genes regarding the molecular function, the biological process and the cellular component, protein class and pathway analysis. The findings of the over-representation test highlight the contribution of cell adhesion regarding the biological process, integral components of plasma membrane regarding the cellular component, chemokines and cytokines with regard to protein class, while the pathway analysis emphasizes the contribution of Wnt and cadherin signaling pathways. CONCLUSIONS: Our results suggest that a core feature of the pathogenesis of DN may be a disturbance in Wnt and cadherin signaling pathways, whereas the contribution of chemokines and cytokines need to be studied in additional studies. Public Library of Science 2021-08-19 /pmc/articles/PMC8375992/ /pubmed/34411124 http://dx.doi.org/10.1371/journal.pone.0255728 Text en © 2021 Tziastoudi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tziastoudi, Maria
Tsezou, Aspasia
Stefanidis, Ioannis
Cadherin and Wnt signaling pathways as key regulators in diabetic nephropathy
title Cadherin and Wnt signaling pathways as key regulators in diabetic nephropathy
title_full Cadherin and Wnt signaling pathways as key regulators in diabetic nephropathy
title_fullStr Cadherin and Wnt signaling pathways as key regulators in diabetic nephropathy
title_full_unstemmed Cadherin and Wnt signaling pathways as key regulators in diabetic nephropathy
title_short Cadherin and Wnt signaling pathways as key regulators in diabetic nephropathy
title_sort cadherin and wnt signaling pathways as key regulators in diabetic nephropathy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375992/
https://www.ncbi.nlm.nih.gov/pubmed/34411124
http://dx.doi.org/10.1371/journal.pone.0255728
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