Comparative gene expression profile and DNA methylation status in diabetic patients of Kazak and Han people

Wang, Cuizhe; Ha, Xiaodan; Li, Wei; Xu, Peng; Zhang, Zhiwei; Wang, Tingting; Jun, Li; Wang, Yan; Liu, Siyuan; Xie, Jingui; Zhang, Jun

doi:10.1097/md.0000000000011982

Cited by 8 publications

(8 citation statements)

References 30 publications

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“…Results from case-control EWAS Illumina-array based studies yielded very heterogeneous findings, likely reflecting the sex, fat depot and age-related differences between cohorts ( Table 2 and Supplementary Table 3 ). In total, several thousand DMRs were identified in the AT of individuals that had MUHO, although without significant overlap between the individual studies ( 60 – 65 , 68 , 70 ).…”

Section: Resultsmentioning

confidence: 99%

“…Amongst the 23 papers included in this systematic review, 19 papers reported studies on DNA methylation, 2 papers presented data on histone modifications and 2 papers conducted studies on lncRNAs. Of the 19 papers that reported data on DNA methylation in AT from individuals with MUHO, 8 papers performed targeted epigenome studies (52-59) and 11 papers reported genome-wide studies (60)(61)(62)(63)(64)(65)(66)(67)(68)(69)(70). The main findings on the targeted DNA methylation studies are summarized in Table 1.…”

Section: Literature Searchmentioning

confidence: 99%

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Adipose Tissue Epigenetic Profile in Obesity-Related Dysglycemia - A Systematic Review

et al. 2021

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BackgroundObesity is a major risk factor for dysglycemic disorders, including type 2 diabetes (T2D). However, there is wide phenotypic variation in metabolic profiles. Tissue-specific epigenetic modifications could be partially accountable for the observed phenotypic variability.ScopeThe aim of this systematic review was to summarize the available data on epigenetic signatures in human adipose tissue (AT) that characterize overweight or obesity-related insulin resistance (IR) and dysglycemia states and to identify potential underlying mechanisms through the use of unbiased bioinformatics approaches.MethodsOriginal data published in the last decade concerning the comparison of epigenetic marks in human AT of individuals with metabolically unhealthy overweight/obesity (MUHO) versus normal weight individuals or individuals with metabolically healthy overweight/obesity (MHO) was assessed. Furthermore, association of these epigenetic marks with IR/dysglycemic traits, including T2D, was compiled.ResultsWe catalogued more than two thousand differentially methylated regions (DMRs; above the cut-off of 5%) in the AT of individuals with MUHO compared to individuals with MHO. These DNA methylation changes were less likely to occur around the promoter regions and were enriched at loci implicated in intracellular signaling (signal transduction mediated by small GTPases, ERK1/2 signaling and intracellular trafficking). We also identified a network of seven transcription factors that may play an important role in targeting DNA methylation changes to specific genes in the AT of subjects with MUHO, contributing to the pathogeny of obesity-related IR/T2D. Furthermore, we found differentially methylated CpG sites at 8 genes that were present in AT and whole blood, suggesting that DMRs in whole blood could be potentially used as accessible biomarkers of MUHO.ConclusionsThe overall evidence linking epigenetic alterations in key tissues such AT to metabolic complications in human obesity is still very limited, highlighting the need for further studies, particularly those focusing on epigenetic marks other than DNA methylation. Our initial analysis suggests that DNA methylation patterns can potentially discriminate between MUHO from MHO and provide new clues into why some people with obesity are less susceptible to dysglycemia. Identifying AT-specific epigenetic targets could also lead to novel approaches to modify the progression of individuals with obesity towards metabolic disease.Systematic Review RegistrationPROSPERO, identifier CRD42021227237.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Searchmentioning

confidence: 99%

Adipose Tissue Epigenetic Profile in Obesity-Related Dysglycemia - A Systematic Review

et al. 2021

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“…Given the largely medical nature of the reviewed literature, an emphasis on pathology is predominant, and exposures are generally understood exclusively in the negative, that is, as a source of risk for chronic disease and mortality and dysfunction of biological processes (Agha et al, 2016 ; Chan et al, 2017 ; de Mendoza et al, 2018 ; Do et al, 2021 ; Kader et al, 2020 ; Jhun et al, 2021 ; Lara et al, 2020 ; Lapato et al, 2018 ; Needham et al, 2015 ; Pheiffher et al, 2020; Rizzo et al, 2020 ; Tekola‐Ayele et al, 2020 ; Tehranifar et al, 2018 ; Wang et al, 2018 ; Tsegaselassie et al, 2021 ; Zhu et al, 2016 ).…”

Section: A Scoping Review Of Environmental Epigenetics Dohad and Race...mentioning

confidence: 99%

A biosocial return to race? A cautionary view for the postgenomic era

Meloni

Moll

Issaka

et al. 2022

American J Hum Biol

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Recent studies demonstrating epigenetic and developmental sensitivity to early environments, as exemplified by fields like the Developmental Origins of Health and Disease (DOHaD) and environmental epigenetics, are bringing new data and models to bear on debates about race, genetics, and society. Here, we first survey the historical prominence of models of environmental determinism in early formulations of racial thinking to illustrate how notions of direct environmental effects on bodies have been used to naturalize racial hierarchy and inequalities in the past. Next, we conduct a scoping review of postgenomic work in environmental epigenetics and DOHaD that looks at the role of race/ethnicity in human health (2000–2021). Although there is substantial heterogeneity in how race is conceptualized and interpreted across studies, we observe practices that may unwittingly encourage typological thinking, including: using DNA methylation as a novel marker of racial classification; neglect of variation and reversibility within supposedly homogenous racial groups; and a tendency to label and reify whole groups as pathologized or impaired. Even in the very different politico‐economic and epistemic context of contemporary postgenomic science, these trends echo deeply held beliefs in Western thinking which claimed that different environments shape different bodies and then used this logic to argue for essential differences between Europeans and non‐Europeans. We conclude with a series of suggestions on interpreting and reporting findings in these fields that we feel will help researchers harness this work to benefit disadvantaged groups while avoiding the inadvertent dissemination of new and old forms of stigma or prejudice.

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“…The upregulated genes were associated with fatty acid and carbon metabolism. It seems interesting that, despite the presence of many common networks, the genetic patterns differ in the Han and Kazak Chinese patients, which allows for conclusions to be drawn about the differences in the gene expression in different populations [ 26 ]. The overexpression of the HLA-DQA1 and HLA-DQB1 genes encoding subunits of MHC class II molecules, which are responsible for antigen presentation by immune cells, was demonstrated in T2D individuals, proving the commonality of immune response activation in T1D, T2D, and latent autoimmune diabetes in adults.…”

Section: Transcriptome Studies In T2dmentioning

confidence: 99%

Overview of Transcriptomic Research on Type 2 Diabetes: Challenges and Perspectives

Tonyan

Nasykhova

Danilova

et al. 2022

Genes

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Type 2 diabetes (T2D) is a common chronic disease whose etiology is known to have a strong genetic component. Standard genetic approaches, although allowing for the detection of a number of gene variants associated with the disease as well as differentially expressed genes, cannot fully explain the hereditary factor in T2D. The explosive growth in the genomic sequencing technologies over the last decades provided an exceptional impetus for transcriptomic studies and new approaches to gene expression measurement, such as RNA-sequencing (RNA-seq) and single-cell technologies. The transcriptomic analysis has the potential to find new biomarkers to identify risk groups for developing T2D and its microvascular and macrovascular complications, which will significantly affect the strategies for early diagnosis, treatment, and preventing the development of complications. In this article, we focused on transcriptomic studies conducted using expression arrays, RNA-seq, and single-cell sequencing to highlight recent findings related to T2D and challenges associated with transcriptome experiments.

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Comparative gene expression profile and DNA methylation status in diabetic patients of Kazak and Han people

Abstract: Supplemental Digital Content is available in the text

Cited by 8 publications

References 30 publications

Adipose Tissue Epigenetic Profile in Obesity-Related Dysglycemia - A Systematic Review

Adipose Tissue Epigenetic Profile in Obesity-Related Dysglycemia - A Systematic Review

A biosocial return to race? A cautionary view for the postgenomic era

Overview of Transcriptomic Research on Type 2 Diabetes: Challenges and Perspectives

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