Analysis of Differentially Expressed Genes That Aggravate Metabolic Diseases in Depression

Depression is considered the second leading cause of the global health burden after cancer. It is recognized as the most common physiological disorder. It affects about 350 million people worldwide to a serious degree. The onset of depression, inadequate food intake, abnormal glycemic control and co...

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Autores principales:	Sukanta Bhadra, Siyu Chen, Chang Liu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	depression metabolic disease diabetes obesity NASH DEGs Science Q
Acceso en línea:	https://doaj.org/article/f68d0995f293454da43ed0ff6bfe0ace
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spelling	oai:doaj.org-article:f68d0995f293454da43ed0ff6bfe0ace2021-11-25T18:11:08ZAnalysis of Differentially Expressed Genes That Aggravate Metabolic Diseases in Depression10.3390/life111112032075-1729https://doaj.org/article/f68d0995f293454da43ed0ff6bfe0ace2021-11-01T00:00:00Zhttps://www.mdpi.com/2075-1729/11/11/1203https://doaj.org/toc/2075-1729Depression is considered the second leading cause of the global health burden after cancer. It is recognized as the most common physiological disorder. It affects about 350 million people worldwide to a serious degree. The onset of depression, inadequate food intake, abnormal glycemic control and cognitive impairment have strong associations with various metabolic disorders which are mediated through alterations in diet and physical activities. The regulatory key factors among metabolic diseases and depression are poorly understood. To understand the molecular mechanisms of the dysregulation of genes affected in depressive disorder, we employed an analytical, quantitative framework for depression and related metabolic diseases. In this study, we examined datasets containing patients with depression, obesity, diabetes and NASH. After normalizing batch effects to minimize the heterogeneity of all the datasets, we found differentially expressed genes (DEGs) common to all the datasets. We identified significantly associated enrichment pathways, ontology pathways, protein–protein cluster networks and gene–disease associations among the co-expressed genes co-expressed in depression and the metabolic disorders. Our study suggested potentially active signaling pathways and co-expressed gene sets which may play key roles in crosstalk between metabolic diseases and depression.Sukanta BhadraSiyu ChenChang LiuMDPI AGarticledepressionmetabolic diseasediabetesobesityNASHDEGsScienceQENLife, Vol 11, Iss 1203, p 1203 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	depression metabolic disease diabetes obesity NASH DEGs Science Q
spellingShingle	depression metabolic disease diabetes obesity NASH DEGs Science Q Sukanta Bhadra Siyu Chen Chang Liu Analysis of Differentially Expressed Genes That Aggravate Metabolic Diseases in Depression
description	Depression is considered the second leading cause of the global health burden after cancer. It is recognized as the most common physiological disorder. It affects about 350 million people worldwide to a serious degree. The onset of depression, inadequate food intake, abnormal glycemic control and cognitive impairment have strong associations with various metabolic disorders which are mediated through alterations in diet and physical activities. The regulatory key factors among metabolic diseases and depression are poorly understood. To understand the molecular mechanisms of the dysregulation of genes affected in depressive disorder, we employed an analytical, quantitative framework for depression and related metabolic diseases. In this study, we examined datasets containing patients with depression, obesity, diabetes and NASH. After normalizing batch effects to minimize the heterogeneity of all the datasets, we found differentially expressed genes (DEGs) common to all the datasets. We identified significantly associated enrichment pathways, ontology pathways, protein–protein cluster networks and gene–disease associations among the co-expressed genes co-expressed in depression and the metabolic disorders. Our study suggested potentially active signaling pathways and co-expressed gene sets which may play key roles in crosstalk between metabolic diseases and depression.
format	article
author	Sukanta Bhadra Siyu Chen Chang Liu
author_facet	Sukanta Bhadra Siyu Chen Chang Liu
author_sort	Sukanta Bhadra
title	Analysis of Differentially Expressed Genes That Aggravate Metabolic Diseases in Depression
title_short	Analysis of Differentially Expressed Genes That Aggravate Metabolic Diseases in Depression
title_full	Analysis of Differentially Expressed Genes That Aggravate Metabolic Diseases in Depression
title_fullStr	Analysis of Differentially Expressed Genes That Aggravate Metabolic Diseases in Depression
title_full_unstemmed	Analysis of Differentially Expressed Genes That Aggravate Metabolic Diseases in Depression
title_sort	analysis of differentially expressed genes that aggravate metabolic diseases in depression
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f68d0995f293454da43ed0ff6bfe0ace
work_keys_str_mv	AT sukantabhadra analysisofdifferentiallyexpressedgenesthataggravatemetabolicdiseasesindepression AT siyuchen analysisofdifferentiallyexpressedgenesthataggravatemetabolicdiseasesindepression AT changliu analysisofdifferentiallyexpressedgenesthataggravatemetabolicdiseasesindepression
_version_	1718411537739153408

Analysis of Differentially Expressed Genes That Aggravate Metabolic Diseases in Depression

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