@article{HenzeHomannRohnetal.2016,
  author    = {Henze, Andrea and Homann, Thomas and Rohn, Isabelle and Aschner, Michael A. and Link, Christopher D. and Kleuser, Burkhard and Schweigert, Florian J. and Schwerdtle, Tanja and Bornhorst, Julia},
  title     = {Caenorhabditis elegans as a model system to study post-translational modifications of human transthyretin},
  series = {Scientific reports},
  volume    = {6},
  journal   = {Scientific reports},
  publisher = {Nature Publishing Group},
  address   = {London},
  issn      = {2045-2322},
  doi       = {10.1038/srep37346},
  pages     = {12},
  year      = {2016},
  abstract  = {The visceral protein transthyretin (TTR) is frequently affected by oxidative post-translational protein modifications (PTPMs) in various diseases. Thus, better insight into structure-function relationships due to oxidative PTPMs of TTR should contribute to the understanding of pathophysiologic mechanisms. While the in vivo analysis of TTR in mammalian models is complex, time- and resource-consuming, transgenic Caenorhabditis elegans expressing hTTR provide an optimal model for the in vivo identification and characterization of drug-mediated oxidative PTPMs of hTTR by means of matrix assisted laser desorption/ionization - time of flight - mass spectrometry (MALDI-TOF-MS). Herein, we demonstrated that hTTR is expressed in all developmental stages of Caenorhabditis elegans, enabling the analysis of hTTR metabolism during the whole life-cycle. The suitability of the applied model was verified by exposing worms to D-penicillamine and menadione. Both drugs induced substantial changes in the oxidative PTPM pattern of hTTR. Additionally, for the first time a covalent binding of both drugs with hTTR was identified and verified by molecular modelling.},
  language  = {en}
}
@article{KumarGoodwinUhouseetal.2015,
  author    = {Kumar, Kevin K. and Goodwin, Cody R. and Uhouse, Michael A. and Bornhorst, Julia and Schwerdtle, Tanja and Aschner, Michael A. and McLean, John A. and Bowman, Aaron B.},
  title     = {Untargeted metabolic profiling identifies interactions between Huntington's disease and neuronal manganese status},
  series = {Metallomics},
  volume    = {7},
  journal   = {Metallomics},
  publisher = {RSC Publ.},
  address   = {Cambridge},
  issn      = {1756-591X},
  doi       = {10.1039/C4MT00223G},
  pages     = {363 -- 370},
  year      = {2015},
  abstract  = {Manganese (Mn) is an essential micronutrient for development and function of the nervous system. Deficiencies in Mn transport have been implicated in the pathogenesis of Huntington's disease (HD), an autosomal dominant neurodegenerative disorder characterized by loss of medium spiny neurons of the striatum. Brain Mn levels are highest in striatum and other basal ganglia structures, the most sensitive brain regions to Mn neurotoxicity. Mouse models of HD exhibit decreased striatal Mn accumulation and HD striatal neuron models are resistant to Mn cytotoxicity. We hypothesized that the observed modulation of Mn cellular transport is associated with compensatory metabolic responses to HD pathology. Here we use an untargeted metabolomics approach by performing ultraperformance liquid chromatography-ion mobility-mass spectrometry (UPLC-IM-MS) on control and HD immortalized mouse striatal neurons to identify metabolic disruptions under three Mn exposure conditions, low (vehicle), moderate (non-cytotoxic) and high (cytotoxic). Our analysis revealed lower metabolite levels of pantothenic acid, and glutathione (GSH) in HD striatal cells relative to control cells. HD striatal cells also exhibited lower abundance and impaired induction of isobutyryl carnitine in response to increasing Mn exposure. In addition, we observed induction of metabolites in the pentose shunt pathway in HD striatal cells after high Mn exposure. These findings provide metabolic evidence of an interaction between the HD genotype and biologically relevant levels of Mn in a striatal cell model with known HD by Mn exposure interactions. The metabolic phenotypes detected support existing hypotheses that changes in energetic processes underlie the pathobiology of both HD and Mn neurotoxicity.},
  language  = {en}
}
@misc{HenzeHomannRohnetal.2016,
  author    = {Henze, Andrea and Homann, Thomas and Rohn, Isabelle and Aschner, Michael A. and Link, Christopher D. and Kleuser, Burkhard and Schweigert, Florian J. and Schwerdtle, Tanja and Bornhorst, Julia},
  title     = {Caenorhabditis elegans as a model system to study post-translational modifications of human transthyretin},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-103674},
  pages     = {12},
  year      = {2016},
  abstract  = {The visceral protein transthyretin (TTR) is frequently affected by oxidative post-translational protein modifications (PTPMs) in various diseases. Thus, better insight into structure-function relationships due to oxidative PTPMs of TTR should contribute to the understanding of pathophysiologic mechanisms. While the in vivo analysis of TTR in mammalian models is complex, time- and resource-consuming, transgenic Caenorhabditis elegans expressing hTTR provide an optimal model for the in vivo identification and characterization of drug-mediated oxidative PTPMs of hTTR by means of matrix assisted laser desorption/ionization - time of flight - mass spectrometry (MALDI-TOF-MS). Herein, we demonstrated that hTTR is expressed in all developmental stages of Caenorhabditis elegans, enabling the analysis of hTTR metabolism during the whole life-cycle. The suitability of the applied model was verified by exposing worms to D-penicillamine and menadione. Both drugs induced substantial changes in the oxidative PTPM pattern of hTTR. Additionally, for the first time a covalent binding of both drugs with hTTR was identified and verified by molecular modelling.},
  language  = {en}
}
@misc{KumarGoodwinUhouseetal.2015,
  author    = {Kumar, Kevin K. and Goodwin, Cody R. and Uhouse, Michael A. and Bornhorst, Julia and Schwerdtle, Tanja and Aschner, Michael A. and McLean, John A. and Bowman, Aaron B.},
  title     = {Untargeted metabolic profiling identifies interactions between Huntington's disease and neuronal manganese status},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-94314},
  pages     = {363 -- 370},
  year      = {2015},
  abstract  = {Manganese (Mn) is an essential micronutrient for development and function of the nervous system. Deficiencies in Mn transport have been implicated in the pathogenesis of Huntington's disease (HD), an autosomal dominant neurodegenerative disorder characterized by loss of medium spiny neurons of the striatum. Brain Mn levels are highest in striatum and other basal ganglia structures, the most sensitive brain regions to Mn neurotoxicity. Mouse models of HD exhibit decreased striatal Mn accumulation and HD striatal neuron models are resistant to Mn cytotoxicity. We hypothesized that the observed modulation of Mn cellular transport is associated with compensatory metabolic responses to HD pathology. Here we use an untargeted metabolomics approach by performing ultraperformance liquid chromatography-ion mobility-mass spectrometry (UPLC-IM-MS) on control and HD immortalized mouse striatal neurons to identify metabolic disruptions under three Mn exposure conditions, low (vehicle), moderate (non-cytotoxic) and high (cytotoxic). Our analysis revealed lower metabolite levels of pantothenic acid, and glutathione (GSH) in HD striatal cells relative to control cells. HD striatal cells also exhibited lower abundance and impaired induction of isobutyryl carnitine in response to increasing Mn exposure. In addition, we observed induction of metabolites in the pentose shunt pathway in HD striatal cells after high Mn exposure. These findings provide metabolic evidence of an interaction between the HD genotype and biologically relevant levels of Mn in a striatal cell model with known HD by Mn exposure interactions. The metabolic phenotypes detected support existing hypotheses that changes in energetic processes underlie the pathobiology of both HD and Mn neurotoxicity.},
  language  = {en}
}