Adipose tissue mRNA expression of HDAC1, HDAC3 and HDAC9 in obese women in relation to obesity indices and insulin resistance

Pour, Naghmeh Jannat Ali; Meshkani, Reza; Toolabi, Karamollah; Azadi, Samaneh Mohassel; Zand, Shahabedin; Emamgholipour, Solaleh

doi:10.1007/s11033-020-05431-5

Cited by 12 publications

(5 citation statements)

References 37 publications

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“…Additionally, HDAC5 can interact with the GLUT4 enhancer factor (GEF) in adipocytes for the repression of Glut4 promoter activity (Sparling et al, 2008;Weems and Olson, 2011), suggesting a plausible mechanism by which Glut4 expression and insulin-mediated glucose uptake are dysregulated in obesity and T2D. Moreover, the expression of class I HDACs, HDAC1 and HDAC3, is reduced in the adipose tissue of obese female patients (Jannat Ali Pour et al, 2020), however, their role in adipose tissue is not yet well understood.…”

Section: Histone Acetylation/deacetylation Class I/ii Hdacsmentioning

confidence: 99%

Understanding Dietary Intervention-Mediated Epigenetic Modifications in Metabolic Diseases

et al. 2020

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The global prevalence of metabolic disorders, such as obesity, diabetes and fatty liver disease, is dramatically increasing. Both genetic and environmental factors are wellknown contributors to the development of these diseases and therefore, the study of epigenetics can provide additional mechanistic insight. Dietary interventions, including caloric restriction, intermittent fasting or time-restricted feeding, have shown promising improvements in patients' overall metabolic profiles (i.e., reduced body weight, improved glucose homeostasis), and an increasing number of studies have associated these beneficial effects with epigenetic alterations. In this article, we review epigenetic changes involved in both metabolic diseases and dietary interventions in primary metabolic tissues (i.e., adipose, liver, and pancreas) in hopes of elucidating potential biomarkers and therapeutic targets for disease prevention and treatment.

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Section: Histone Acetylation/deacetylation Class I/ii Hdacsmentioning

confidence: 99%

Understanding Dietary Intervention-Mediated Epigenetic Modifications in Metabolic Diseases

et al. 2020

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“…It was found the visceral adipose tissue (VAT) mRNA expression level of HDAC9 were significantly lower in obese patients in comparison with normal-weight women. The VAT HDAC9 mRNA level inversely correlated with BMI, waist, hip and with HOMA-IR, insulin levels, and serum concentration of hs-CRP 73 . In contrast, Chatterjee et al found that HDAC9 expression increased in adipocytes of diet-induced obesity mice in comparison with chow-fed mice.…”

Section: Discussionmentioning

confidence: 92%

Identification of HDAC9 and ARRDC4 as potential biomarkers and targets for treatment of type 2 diabetes

Liu,

Meng,

Liu

et al. 2024

Sci Rep

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We aimed to identify the key potential insulin resistance (IR)-related genes and investigate their correlation with immune cell infiltration in type 2 diabetes (T2D). The GSE78721 dataset (68 diabetic patients and 62 controls) was downloaded from the Gene Expression Omnibus database and utilized for single-sample gene set enrichment analysis. IR-related genes were obtained from the Comparative Toxicology Genetics Database, and the final IR-differentially expressed genes (DEGs) were screened by intersecting with the DEGs obtained from the GSE78721 datasets. Functional enrichment analysis was performed, and the networks of the target gene with microRNA, transcription factor, and drug were constructed. Hub genes were identified based on a protein–protein interaction network. Least absolute shrinkage and selection operator regression and Random Forest and Boruta analysis were combined to screen diagnostic biomarkers in T2D, which were validated using the GSE76894 (19 diabetic patients and 84 controls) and GSE9006 (12 diabetic patients and 24 controls) datasets. Quantitative real-time polymerase chain reaction was performed to validate the biomarker expression in IR mice and control mice. In addition, infiltration of immune cells in T2D and their correlation with the identified markers were computed using CIBERSORT. We identified differential immune gene set regulatory T-cells in the GSE78721 dataset, and T2D samples were assigned into three clusters based on immune infiltration. A total of 2094 IR-DEGs were primarily enriched in response to endoplasmic reticulum stress. Importantly, HDAC9 and ARRDC4 were identified as markers of T2D and associated with different levels of immune cell infiltration. HDAC9 mRNA level were higher in the IR mice than in control mice, while ARRDC4 showed the opposite trend. In summary, we discovered potential vital biomarkers that contribute to immune cell infiltration associated with IR, which offers a new sight of immunotherapy for T2D.

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“…HDAC1 is involved in histone acetylation and deacetylation, catalyzed by multisubunit complexes, which plays a key role in the regulation of eukaryotic gene expression. Previous research has shown that high expression levels of HDAC1 were correlated with obesity and overweight in HFD-fed mice ( Choi et al, 2017 ), while there was also a study showing the expression of HDAC1 in adipose tissues from obese women was lower in comparison with normal-weight individuals ( Pour et al, 2020 ). And HDAC1 , belongs to class I HDACs , is highly homologous and functionally redundant with HDAC2 .…”

Section: Discussionmentioning

confidence: 99%

Identification of potential obese-specific biomarkers and pathways associated with abdominal subcutaneous fat deposition in pig using a comprehensive bioinformatics strategy

Yang,

Wang,

et al. 2024

PeerJ

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Abdominal subcutaneous fat deposition (ASFD) is not only related to meat quality in the pig industry but also to human health in medicine. It is of great value to elucidate the potential molecular mechanisms of ASFD. The present study aims to identify obese-specific biomarkers and key pathways correlated with ASFD in pigs. The ASF-related mRNA expression dataset GSE136754 was retrieved from the Gene Expression Omnibus (GEO) database and systematically analyzed using a comprehensive bioinformatics method. A total of 565 differentially expressed genes (DEGs) were identified between three obese and three lean pigs, and these DEGs were mainly involved in the p53 signaling pathway, MAPK signaling pathway and fatty acid metabolism. A protein-protein interaction (PPI) network, consisting of 540 nodes and 1,065 edges, was constructed, and the top ten genes with the highest degree scores—ABL1, HDAC1, CDC42, HDAC2, MRPS5, MRPS10, MDM2, JUP, RPL7L1 and UQCRFS1—were identified as hub genes in the whole PPI network. Especially HDAC1, MDM2, MRPS10 and RPL7L1 were identified as potential robust obese-specific biomarkers due to their significant differences in single gene expression levels and high ROC area; this was further verified by quantitative real-time PCR (qRT-PCR) on abdominal subcutaneous fat samples from obese-type (Saba) and lean-type (Large White) pigs. Additionally, a mRNA-miRNA-lncRNA ceRNA network consisting of four potential biomarkers, 15 miRNAs and 51 lncRNAs was established, and two targeted lncRNAs with more connections, XIST and NEAT1, were identified as potentially important regulatory factors. The findings of this study may provide novel insights into the molecular mechanism involved in ASFD.

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Adipose tissue mRNA expression of HDAC1, HDAC3 and HDAC9 in obese women in relation to obesity indices and insulin resistance

Cited by 12 publications

References 37 publications

Understanding Dietary Intervention-Mediated Epigenetic Modifications in Metabolic Diseases

Understanding Dietary Intervention-Mediated Epigenetic Modifications in Metabolic Diseases

Identification of HDAC9 and ARRDC4 as potential biomarkers and targets for treatment of type 2 diabetes

Identification of potential obese-specific biomarkers and pathways associated with abdominal subcutaneous fat deposition in pig using a comprehensive bioinformatics strategy

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