Cargando…
Meta-Analysis and Bioinformatics Detection of Susceptibility Genes in Diabetic Nephropathy
The latest meta-analysis of genome-wide linkage studies (GWLS) identified nine cytogenetic locations suggestive of a linkage with diabetic nephropathy (DN) due to type 1 diabetes mellitus (T1DM) and seven locations due to type 2 diabetes mellitus (T2DM). In order to gain biological insight about the...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744540/ https://www.ncbi.nlm.nih.gov/pubmed/35008447 http://dx.doi.org/10.3390/ijms23010020 |
_version_ | 1784630128292134912 |
---|---|
author | Tziastoudi, Maria Cholevas, Christos Theoharides, Theoharis C. Stefanidis, Ioannis |
author_facet | Tziastoudi, Maria Cholevas, Christos Theoharides, Theoharis C. Stefanidis, Ioannis |
author_sort | Tziastoudi, Maria |
collection | PubMed |
description | The latest meta-analysis of genome-wide linkage studies (GWLS) identified nine cytogenetic locations suggestive of a linkage with diabetic nephropathy (DN) due to type 1 diabetes mellitus (T1DM) and seven locations due to type 2 diabetes mellitus (T2DM). In order to gain biological insight about the functional role of the genes located in these regions and to prioritize the most significant genetic loci for further research, we conducted a gene ontology analysis with an over representation test for the functional annotation of the protein coding genes. Protein analysis through evolutionary relationships (PANTHER) version 16.0 software and Cytoscape with the relevant plugins were used for the gene ontology analysis, and the overrepresentation test and STRING database were used for the construction of the protein network. The findings of the over-representation test highlight the contribution of immune related molecules like immunoglobulins, cytokines, and chemokines with regard to the most overrepresented protein classes, whereas the most enriched signaling pathways include the VEGF signaling pathway, the Cadherin pathway, the Wnt pathway, the angiogenesis pathway, the p38 MAPK pathway, and the EGF receptor signaling pathway. The common section of T1DM and T2DM results include the significant over representation of immune related molecules, and the Cadherin and Wnt signaling pathways that could constitute potential therapeutic targets for the treatment of DN, irrespective of the type of diabetes. |
format | Online Article Text |
id | pubmed-8744540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87445402022-01-11 Meta-Analysis and Bioinformatics Detection of Susceptibility Genes in Diabetic Nephropathy Tziastoudi, Maria Cholevas, Christos Theoharides, Theoharis C. Stefanidis, Ioannis Int J Mol Sci Article The latest meta-analysis of genome-wide linkage studies (GWLS) identified nine cytogenetic locations suggestive of a linkage with diabetic nephropathy (DN) due to type 1 diabetes mellitus (T1DM) and seven locations due to type 2 diabetes mellitus (T2DM). In order to gain biological insight about the functional role of the genes located in these regions and to prioritize the most significant genetic loci for further research, we conducted a gene ontology analysis with an over representation test for the functional annotation of the protein coding genes. Protein analysis through evolutionary relationships (PANTHER) version 16.0 software and Cytoscape with the relevant plugins were used for the gene ontology analysis, and the overrepresentation test and STRING database were used for the construction of the protein network. The findings of the over-representation test highlight the contribution of immune related molecules like immunoglobulins, cytokines, and chemokines with regard to the most overrepresented protein classes, whereas the most enriched signaling pathways include the VEGF signaling pathway, the Cadherin pathway, the Wnt pathway, the angiogenesis pathway, the p38 MAPK pathway, and the EGF receptor signaling pathway. The common section of T1DM and T2DM results include the significant over representation of immune related molecules, and the Cadherin and Wnt signaling pathways that could constitute potential therapeutic targets for the treatment of DN, irrespective of the type of diabetes. MDPI 2021-12-21 /pmc/articles/PMC8744540/ /pubmed/35008447 http://dx.doi.org/10.3390/ijms23010020 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tziastoudi, Maria Cholevas, Christos Theoharides, Theoharis C. Stefanidis, Ioannis Meta-Analysis and Bioinformatics Detection of Susceptibility Genes in Diabetic Nephropathy |
title | Meta-Analysis and Bioinformatics Detection of Susceptibility Genes in Diabetic Nephropathy |
title_full | Meta-Analysis and Bioinformatics Detection of Susceptibility Genes in Diabetic Nephropathy |
title_fullStr | Meta-Analysis and Bioinformatics Detection of Susceptibility Genes in Diabetic Nephropathy |
title_full_unstemmed | Meta-Analysis and Bioinformatics Detection of Susceptibility Genes in Diabetic Nephropathy |
title_short | Meta-Analysis and Bioinformatics Detection of Susceptibility Genes in Diabetic Nephropathy |
title_sort | meta-analysis and bioinformatics detection of susceptibility genes in diabetic nephropathy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744540/ https://www.ncbi.nlm.nih.gov/pubmed/35008447 http://dx.doi.org/10.3390/ijms23010020 |
work_keys_str_mv | AT tziastoudimaria metaanalysisandbioinformaticsdetectionofsusceptibilitygenesindiabeticnephropathy AT cholevaschristos metaanalysisandbioinformaticsdetectionofsusceptibilitygenesindiabeticnephropathy AT theoharidestheoharisc metaanalysisandbioinformaticsdetectionofsusceptibilitygenesindiabeticnephropathy AT stefanidisioannis metaanalysisandbioinformaticsdetectionofsusceptibilitygenesindiabeticnephropathy |