2020
DOI: 10.1186/s12920-020-00767-0
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Unraveling the molecular heterogeneity in type 2 diabetes: a potential subtype discovery followed by metabolic modeling

Abstract: Background: Type 2 diabetes mellitus (T2DM) is a complex multifactorial disease with a high prevalence worldwide. Insulin resistance and impaired insulin secretion are the two major abnormalities in the pathogenesis of T2DM. Skeletal muscle is responsible for over 75% of the glucose uptake and plays a critical role in T2DM. Here, we sought to provide a better understanding of the abnormalities in this tissue. Methods: The muscle gene expression patterns were explored in healthy and newly diagnosed T2DM individ… Show more

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Cited by 7 publications
(2 citation statements)
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“…An extension of phenotyping including not only multiple omics data (e.g. genomics, metabolomics, proteomics, transcriptomics) but also deep molecular and physiological phenotyping using wearable devices may help to provide further insight and to refine the subtyping of diabetes [10,[60][61][62] • Individual responses to diet and exercise vary between individuals [63,64]. It is not known to what extent this individuality is also related to different pathomechanisms that characterise the novel diabetes subgroups…”
Section: Methodological Aspects and Open Questionsmentioning
confidence: 99%
“…An extension of phenotyping including not only multiple omics data (e.g. genomics, metabolomics, proteomics, transcriptomics) but also deep molecular and physiological phenotyping using wearable devices may help to provide further insight and to refine the subtyping of diabetes [10,[60][61][62] • Individual responses to diet and exercise vary between individuals [63,64]. It is not known to what extent this individuality is also related to different pathomechanisms that characterise the novel diabetes subgroups…”
Section: Methodological Aspects and Open Questionsmentioning
confidence: 99%
“…This strategy allowed the identification of three T2D patients subgroups based on the expression pattern of skeletal muscle genes. 15 The rapid development of advanced and cost-effective -omics platforms (genomics, proteomics, transcriptomics and small RNAomics) and the creation of multicentric consortia, favored the adoption of multiomics approaches to identify a potential combination of molecular and clinical parameters to stratify insulinresistant and T2D patients. 16 For example, Huang et al adopted a multiomics approach based on clinical features, proteomic, cytokines profile, microbiome and RNA-seq in order to identify 17 parameters able to distinguish insulin resistant (IR) and insulin sensitive subjects.…”
Section: Introductionmentioning
confidence: 99%