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      LincRNA H19 protects from dietary obesity by constraining expression of monoallelic genes in brown fat

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          Abstract

          Increasing brown adipose tissue (BAT) thermogenesis in mice and humans improves metabolic health and understanding BAT function is of interest for novel approaches to counteract obesity. The role of long noncoding RNAs (lncRNAs) in these processes remains elusive. We observed maternally expressed, imprinted lncRNA H19 increased upon cold-activation and decreased in obesity in BAT. Inverse correlations of H19 with BMI were also observed in humans. H19 overexpression promoted, while silencing of H19 impaired adipogenesis, oxidative metabolism and mitochondrial respiration in brown but not white adipocytes. In vivo, H19 overexpression protected against DIO, improved insulin sensitivity and mitochondrial biogenesis, whereas fat H19 loss sensitized towards HFD weight gains. Strikingly, paternally expressed genes (PEG) were largely absent from BAT and we demonstrated that H19 recruits PEG-inactivating H19-MBD1 complexes and acts as BAT-selective PEG gatekeeper. This has implications for our understanding how monoallelic gene expression affects metabolism in rodents and, potentially, humans.

          Abstract

          Brown adipose tissue (BAT) thermogenesis counteracts obesity and promotes metabolic health. The role of long non-coding RNAs (lncRNAs) in the regulation of this process is not well understood. Here the authors identify a maternally expressed lncRNA, H19, that increases BAT oxidative metabolism and energy expenditure.

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          Most cited references39

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          Aging of blood can be tracked by DNA methylation changes at just three CpG sites

          Background Human aging is associated with DNA methylation changes at specific sites in the genome. These epigenetic modifications may be used to track donor age for forensic analysis or to estimate biological age. Results We perform a comprehensive analysis of methylation profiles to narrow down 102 age-related CpG sites in blood. We demonstrate that most of these age-associated methylation changes are reversed in induced pluripotent stem cells (iPSCs). Methylation levels at three age-related CpGs - located in the genes ITGA2B, ASPA and PDE4C - were subsequently analyzed by bisulfite pyrosequencing of 151 blood samples. This epigenetic aging signature facilitates age predictions with a mean absolute deviation from chronological age of less than 5 years. This precision is higher than age predictions based on telomere length. Variation of age predictions correlates moderately with clinical and lifestyle parameters supporting the notion that age-associated methylation changes are associated more with biological age than with chronological age. Furthermore, patients with acquired aplastic anemia or dyskeratosis congenita - two diseases associated with progressive bone marrow failure and severe telomere attrition - are predicted to be prematurely aged. Conclusions Our epigenetic aging signature provides a simple biomarker to estimate the state of aging in blood. Age-associated DNA methylation changes are counteracted in iPSCs. On the other hand, over-estimation of chronological age in bone marrow failure syndromes is indicative for exhaustion of the hematopoietic cell pool. Thus, epigenetic changes upon aging seem to reflect biological aging of blood.
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            Insulin-sensitive obesity.

            The association between obesity and impaired insulin sensitivity has long been recognized, although a subgroup of obese individuals seems to be protected from insulin resistance. In this study, we systematically studied differences in adipose tissue biology between insulin-sensitive (IS) and insulin-resistant (IR) individuals with morbid obesity. On the basis of glucose infusion rate during euglycemic hyperinsulinemic clamps, 60 individuals with a BMI of 45 +/- 1.3 kg/m(2) were divided into an IS and IR group matched for age, sex, and body fat prior to elective surgery. We measured fat distribution, circulating adipokines, and parameters of inflammation, glucose, and lipid metabolism and characterized adipose tissue morphology, function, and mRNA expression in abdominal subcutaneous (sc) and omental fat. IS compared with IR obese individuals have significantly lower visceral fat area (138 +/- 27 vs. 316 +/- 91 cm(2)), number of macrophages in omental adipose tissue (4.9 +/- 0.8 vs. 13.2 +/- 1.4%), mean omental adipocyte size (528 +/- 76 vs. 715 +/- 81 pl), circulating C-reactive protein, progranulin, chemerin, and retinol-binding protein-4 (all P values <0.05), and higher serum adiponectin (6.9 +/- 3.4 vs. 3.4 +/- 1.7 ng/ml) and omental adipocyte insulin sensitivity (all P values <0.01). The strongest predictors of insulin sensitivity by far were macrophage infiltration together with circulating adiponectin (r(2) = 0.98, P < 0.0001). In conclusion, independently of total body fat mass, increased visceral fat accumulation and adipose tissue dysfunction are associated with IR obesity. This suggests that mechanisms beyond a positive caloric balance such as inflammation and adipokine release determine the pathological metabolic consequences in patients with obesity.
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              Parental origin of sequence variants associated with complex diseases.

              Effects of susceptibility variants may depend on from which parent they are inherited. Although many associations between sequence variants and human traits have been discovered through genome-wide associations, the impact of parental origin has largely been ignored. Here we show that for 38,167 Icelanders genotyped using single nucleotide polymorphism (SNP) chips, the parental origin of most alleles can be determined. For this we used a combination of genealogy and long-range phasing. We then focused on SNPs that associate with diseases and are within 500 kilobases of known imprinted genes. Seven independent SNP associations were examined. Five-one with breast cancer, one with basal-cell carcinoma and three with type 2 diabetes-have parental-origin-specific associations. These variants are located in two genomic regions, 11p15 and 7q32, each harbouring a cluster of imprinted genes. Furthermore, we observed a novel association between the SNP rs2334499 at 11p15 and type 2 diabetes. Here the allele that confers risk when paternally inherited is protective when maternally transmitted. We identified a differentially methylated CTCF-binding site at 11p15 and demonstrated correlation of rs2334499 with decreased methylation of that site.
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                Author and article information

                Contributors
                martin.bilban@meduniwien.ac.at
                janwilhelmkornfeld@bmb.sdu.dk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                6 September 2018
                6 September 2018
                2018
                : 9
                : 3622
                Affiliations
                [1 ]ISNI 0000 0004 4911 0702, GRID grid.418034.a, Max Planck Institute for Metabolism Research, ; Gleueler Strasse 50, 50931 Köln, Germany
                [2 ]GRID grid.452408.f, Cologne Cluster of Excellence: Cellular Stress Responses in Ageing-associated Diseases (CECAD), ; Joseph-Stelzmann-Str. 26, 50931 Köln, Germany
                [3 ]ISNI 0000 0000 9259 8492, GRID grid.22937.3d, Department of Laboratory Medicine, , Medical University of Vienna, ; 1090 Vienna, Austria
                [4 ]ISNI 0000 0001 0728 0170, GRID grid.10825.3e, Department for Biochemistry and Molecular Biology (BMB), , University of Southern Denmark, ; Campusvej 55, 5230 Odense M, Denmark
                [5 ]ISNI 0000 0001 0728 696X, GRID grid.1957.a, Helmholtz-Institute for Biomedical Engineering, Stem Cell Biology and Cellular Engineering, , RWTH Aachen University Medical School, ; Pauwelstrasse 20, 52074 Aachen, Germany
                [6 ]Institute for Biochemistry and Molecular Cell Biology, Martinistraße 52, 20246 Hamburg, Germany
                [7 ]ISNI 0000 0000 9071 0620, GRID grid.419538.2, Max Planck Institute for Molecular Genetics, ; Ihnestrasse 63-73, 14195 Berlin, Germany
                [8 ]ISNI 0000 0001 1956 2722, GRID grid.7048.b, Institute for Molecular Biology and Genetics, , Aarhus University, ; C F Møllers Alle 3, 8000 Aarhus C, Denmark
                [9 ]ISNI 0000 0001 2230 9752, GRID grid.9647.c, Department of Medicine, , University of Leipzig, ; 04103 Leipzig, Germany
                [10 ]ISNI 0000 0000 9259 8492, GRID grid.22937.3d, Core Facilities, , Medical University of Vienna, ; 1090 Vienna, Austria
                Author information
                http://orcid.org/0000-0003-0829-1423
                http://orcid.org/0000-0002-7969-2796
                http://orcid.org/0000-0002-1971-3217
                http://orcid.org/0000-0002-0643-0592
                http://orcid.org/0000-0002-6802-4442
                Article
                5933
                10.1038/s41467-018-05933-8
                6127097
                30190464
                a2f3d7fb-4575-48da-9651-a7c994b15d7b
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 December 2017
                : 31 July 2018
                Funding
                Funded by: Danish Diabetes Academy
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: KO4728/1-1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000781, EC | European Research Council (ERC);
                Award ID: 675014
                Award Recipient :
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