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- Diamanti, Klev, 1987-, et al.
(författare)
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Integration of whole-body PET/MRI with non-targeted metabolomics provides new insights into insulin sensitivity of various tissues
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Background: Alteration of various metabolites has been linked to type 2 diabetes (T2D) and insulin resistance. However, identifying significant associations between metabolites and tissue-specific alterations is challenging and requires a multi-omics approach. In this study, we aimed at discovering associations of metabolites from subcutaneous adipose tissue (SAT) and plasma with the volume, the fat fraction (FF) and the insulin sensitivity (Ki) of specific tissues using [18F]FDG PET/MRI.Materials and Methods: In a cohort of 42 subjects with different levels of glucose tolerance (normal, prediabetes and T2D) matched for age and body-mass-index (BMI) we calculated associations between parameters of whole-body FDG PET/MRI during clamp and non-targeted metabolomics profiling for SAT and blood plasma. We also used a rule-based classifier to identify a large collection of prevalent patterns of co-dependent metabolites that characterize non-diabetes (ND) and T2D.Results: The plasma metabolomics profiling revealed that hepatic fat content was positively associated with tyrosine, and negatively associated with lysoPC(P-16:0). Ki in visceral adipose tissue (VAT) and SAT, was positively associated with several species of lysophospholipids while the opposite applied to branched-chain amino acids (BCAA) and their intermediates. The adipose tissue metabolomics revealed a positive association between non-esterified fatty acids and, VAT and liver Ki. On the contrary, bile acids and carnitines in adipose tissue were inversely associated with VAT Ki. Finally, we presented a transparent machine-learning model that predicted ND or T2D in “unseen” data with an accuracy of 78%.Conclusions: Novel associations of several metabolites from SAT and plasma with the FF, volume and insulin senstivity of various tissues throughout the body were discovered using PET/MRI and a new integrative multi-omics approach. A promising computational model that predicted ND and T2D with high certainty, suggested novel non-linear interdependencies of metabolites.
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- Atienza-Párraga, Alba, et al.
(författare)
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Epigenomic re-configuration of primary multiple myeloma underlies the synergistic effect of combined DNMT and EZH2 inhibition.
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Multiple myeloma (MM) is characterized by an overexpression of EZH2 and a subsequent increase in H3K27me3-mediated silencing. However, the genome-wide redistribution of this mark in context with other epigenetic tags remains largely unexplored. Here, we show that EZH2 physically interacts with DNMT1 and that combined inhibition leads to a reduced G2/M arrest and increased apoptosis in MM. In addition, we present a catalogue of the genomic regulatory regions in normal plasma cells (NPC) as defined by their individual combination of histone marks. We used ChIP-seq and ATAC-seq data to generate whole-genome NPC chromatin annotations which we further analysed using DNA methylation arrays and RNA-seq. Comparison between NPC and MM demonstrated that, despite the global hypomethylation, enhancers show a tendency towards a higher DNA methylation levels in MM, whereas Polycomb and heterochromatic sites, highly methylated in NPC, show intermediate levels of the mark. Across all examined regulatory regions, 5-azacytidine treatment strongly reduced DNA methylation in MM. Furthermore, we find an extensive re-structuration of the global histone patterns in MM. We noticed a widespread increase in H3K27me3 except at active TSSs/promoters and enhancers, where we found a selective gain of the mark, suggestive of a directed silencing. In contrast, poised TSSs lose H3K27me3 and gain the activation mark H3K27ac, reflecting potential activation. Taken together, we present a comprehensive map of the epigenomic changes in MM as compared to NPC and provide insights into the interplay between EZH2 and DNMT1 in MM.
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- Baltzer, Nicholas, 1983-, et al.
(författare)
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Annan publikation (övrigt vetenskapligt/konstnärligt)
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