Involvement of Essential Signaling Cascades and Analysis of Gene Networks in Diabesity

(1) Aims: Diabesity, defined as diabetes occurring in the context of obesity, is a serious health problem that is associated with an increased risk of premature heart attack, stroke, and death. To date, a key challenge has been to understand the molecular pathways that play significant roles in diab...

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Main Authors: Udhaya Kumar S., Bithia Rajan, Thirumal Kumar D., Anu Preethi V., Taghreed Abunada, Salma Younes, Sarah Okashah, Selvarajan Ethiraj, George Priya Doss C., Hatem Zayed
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Genes
Subjects:
Online Access:https://www.mdpi.com/2073-4425/11/11/1256
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author Udhaya Kumar S.
Bithia Rajan
Thirumal Kumar D.
Anu Preethi V.
Taghreed Abunada
Salma Younes
Sarah Okashah
Selvarajan Ethiraj
George Priya Doss C.
Hatem Zayed
author_facet Udhaya Kumar S.
Bithia Rajan
Thirumal Kumar D.
Anu Preethi V.
Taghreed Abunada
Salma Younes
Sarah Okashah
Selvarajan Ethiraj
George Priya Doss C.
Hatem Zayed
author_sort Udhaya Kumar S.
collection DOAJ
description (1) Aims: Diabesity, defined as diabetes occurring in the context of obesity, is a serious health problem that is associated with an increased risk of premature heart attack, stroke, and death. To date, a key challenge has been to understand the molecular pathways that play significant roles in diabesity. In this study, we aimed to investigate the genetic links between diabetes and obesity in diabetic individuals and highlight the role(s) of shared genes in individuals with diabesity. (2) Methods: The interactions between the genes were analyzed using the Search Tool for the Retrieval of Interacting Genes (STRING) tool after the compilation of obesity genes associated with type 1 diabetes (T1D), type 2 diabetes (T2D), and maturity-onset diabetes of the young (MODY). Cytoscape plugins were utilized for enrichment analysis. (3) Results: We identified 546 obesity genes that are associated with T1D, T2D, and MODY. The network backbone of the identified genes comprised 514 nodes and 4126 edges with an estimated clustering coefficient of 0.242. The Molecular Complex Detection (MCODE) generated three clusters with a score of 33.61, 16.788, and 6.783, each. The highest-scoring nodes of the clusters were <i>AGT</i>, <i>FGB</i>, and <i>LDLR</i> genes. The genes from cluster 1 were enriched in FOXO-mediated transcription of oxidative stress, renin secretion, and regulation of lipolysis in adipocytes. The cluster 2 genes enriched in Src homology 2 domain-containing (SHC)-related events triggered by <i>IGF1R</i>, regulation of lipolysis in adipocytes, and GRB2: SOS produce a link to mitogen-activated protein kinase (MAPK) signaling for integrins. The cluster 3 genes ere enriched in IGF1R signaling cascade and insulin signaling pathway. (4) Conclusion: This study presents a platform to discover potential targets for diabesity treatment and helps in understanding the molecular mechanism.
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spelling doaj.art-7ccbea0f26844a5cb0f0ba42728391b82023-11-20T18:28:49ZengMDPI AGGenes2073-44252020-10-011111125610.3390/genes11111256Involvement of Essential Signaling Cascades and Analysis of Gene Networks in DiabesityUdhaya Kumar S.0Bithia Rajan1Thirumal Kumar D.2Anu Preethi V.3Taghreed Abunada4Salma Younes5Sarah Okashah6Selvarajan Ethiraj7George Priya Doss C.8Hatem Zayed9School of BioSciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaSchool of BioSciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaSchool of BioSciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaDepartment of Biomedical Sciences, College of Health and Sciences, QU Health, Qatar University, Doha 2713, QatarDepartment of Biomedical Sciences, College of Health and Sciences, QU Health, Qatar University, Doha 2713, QatarDepartment of Biomedical Sciences, College of Health and Sciences, QU Health, Qatar University, Doha 2713, QatarDepartment of Genetic Engineering, Kattankulathur Campus, SRM Institute of Science and Technology, Chennai 603203, Tamil Nadu, IndiaSchool of BioSciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaDepartment of Biomedical Sciences, College of Health and Sciences, QU Health, Qatar University, Doha 2713, Qatar(1) Aims: Diabesity, defined as diabetes occurring in the context of obesity, is a serious health problem that is associated with an increased risk of premature heart attack, stroke, and death. To date, a key challenge has been to understand the molecular pathways that play significant roles in diabesity. In this study, we aimed to investigate the genetic links between diabetes and obesity in diabetic individuals and highlight the role(s) of shared genes in individuals with diabesity. (2) Methods: The interactions between the genes were analyzed using the Search Tool for the Retrieval of Interacting Genes (STRING) tool after the compilation of obesity genes associated with type 1 diabetes (T1D), type 2 diabetes (T2D), and maturity-onset diabetes of the young (MODY). Cytoscape plugins were utilized for enrichment analysis. (3) Results: We identified 546 obesity genes that are associated with T1D, T2D, and MODY. The network backbone of the identified genes comprised 514 nodes and 4126 edges with an estimated clustering coefficient of 0.242. The Molecular Complex Detection (MCODE) generated three clusters with a score of 33.61, 16.788, and 6.783, each. The highest-scoring nodes of the clusters were <i>AGT</i>, <i>FGB</i>, and <i>LDLR</i> genes. The genes from cluster 1 were enriched in FOXO-mediated transcription of oxidative stress, renin secretion, and regulation of lipolysis in adipocytes. The cluster 2 genes enriched in Src homology 2 domain-containing (SHC)-related events triggered by <i>IGF1R</i>, regulation of lipolysis in adipocytes, and GRB2: SOS produce a link to mitogen-activated protein kinase (MAPK) signaling for integrins. The cluster 3 genes ere enriched in IGF1R signaling cascade and insulin signaling pathway. (4) Conclusion: This study presents a platform to discover potential targets for diabesity treatment and helps in understanding the molecular mechanism.https://www.mdpi.com/2073-4425/11/11/1256diabetesT2DT1DMODYobesitydiabesity
spellingShingle Udhaya Kumar S.
Bithia Rajan
Thirumal Kumar D.
Anu Preethi V.
Taghreed Abunada
Salma Younes
Sarah Okashah
Selvarajan Ethiraj
George Priya Doss C.
Hatem Zayed
Involvement of Essential Signaling Cascades and Analysis of Gene Networks in Diabesity
Genes
diabetes
T2D
T1D
MODY
obesity
diabesity
title Involvement of Essential Signaling Cascades and Analysis of Gene Networks in Diabesity
title_full Involvement of Essential Signaling Cascades and Analysis of Gene Networks in Diabesity
title_fullStr Involvement of Essential Signaling Cascades and Analysis of Gene Networks in Diabesity
title_full_unstemmed Involvement of Essential Signaling Cascades and Analysis of Gene Networks in Diabesity
title_short Involvement of Essential Signaling Cascades and Analysis of Gene Networks in Diabesity
title_sort involvement of essential signaling cascades and analysis of gene networks in diabesity
topic diabetes
T2D
T1D
MODY
obesity
diabesity
url https://www.mdpi.com/2073-4425/11/11/1256
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