@article{JohnGruneOttetal.2018,
  author    = {John, Cathleen and Grune, Jana and Ott, Christiane and Nowotny, Kerstin and Deubel, Stefanie and K{\"u}hne, Arne and Schubert, Carola and Kintscher, Ulrich and Regitz-Zagrosek, Vera and Grune, Tilman},
  title     = {Sex Differences in Cardiac Mitochondria in the New Zealand Obese Mouse},
  series = {Frontiers in Endocrinology},
  volume    = {9},
  journal   = {Frontiers in Endocrinology},
  publisher = {Frontiers Research Foundation},
  address   = {Lausanne},
  issn      = {1664-2392},
  doi       = {10.3389/fendo.2018.00732},
  pages     = {9},
  year      = {2018},
  abstract  = {Background: Obesity is a risk factor for diseases including type 2 diabetes mellitus (T2DM) and cardiovascular disorders. Diabetes itself contributes to cardiac damage. Thus, studying cardiovascular events and establishing therapeutic intervention in the period of type T2DM onset and manifestation are of highest importance. Mitochondrial dysfunction is one of the pathophysiological mechanisms leading to impaired cardiac function. Methods: An adequate animal model for studying pathophysiology of T2DM is the New Zealand Obese (NZO) mouse. These mice were maintained on a high-fat diet (HFD) without carbohydrates for 13 weeks followed by 4 week HFD with carbohydrates. NZO mice developed severe obesity and only male mice developed manifest T2DM. We determined cardiac phenotypes and mitochondrial function as well as cardiomyocyte signaling in this model. Results: The development of an obese phenotype and T2DM in male mice was accompanied by an impaired systolic function as judged by echocardiography and MyH6/7 expression. Moreover, the mitochondrial function only in male NZO hearts was significantly reduced and ERK1/2 and AMPK protein levels were altered. Conclusions: This is the first report demonstrating that the cardiac phenotype in male diabetic NZO mice is associated with impaired cardiac energy function and signaling events.},
  language  = {en}
}
@article{LiStomaLottaetal.2020,
  author    = {Li, Chen and Stoma, Svetlana and Lotta, Luca A. and Warner, Sophie and Albrecht, Eva and Allione, Alessandra and Arp, Pascal P. and Broer, Linda and Buxton, Jessica L. and Boeing, Heiner and Langenberg, Claudia and Codd, Veryan},
  title     = {Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length},
  series = {American Journal of Human Genetics},
  volume    = {106},
  journal   = {American Journal of Human Genetics},
  number    = {3},
  publisher = {Elsevier},
  address   = {Amsterdam},
  pages     = {16},
  year      = {2020},
  abstract  = {Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1 , PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.},
  language  = {en}
}
@misc{LiStomaLottaetal.2020,
  author    = {Li, Chen and Stoma, Svetlana and Lotta, Luca A. and Warner, Sophie and Albrecht, Eva and Allione, Alessandra and Arp, Pascal P. and Broer, Linda and Buxton, Jessica L. and Boeing, Heiner and Langenberg, Claudia and Codd, Veryan},
  title     = {Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {3},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-52684},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-526843},
  pages     = {18},
  year      = {2020},
  abstract  = {Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1 , PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.},
  language  = {en}
}