@article{ReimannStopperPolaketal.2020,
  author    = {Reimann, Hauke and Stopper, Helga and Polak, Thomas and Lauer, Martin and Herrmann, Martin J. and Deckert, J{\"u}rgen and Hintzsche, Henning},
  title     = {Micronucleus frequency in buccal mucosa cells of patients with neurodegenerative diseases},
  series = {Scientific Reports},
  volume    = {10},
  journal   = {Scientific Reports},
  doi       = {10.1038/s41598-020-78832-y},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-231430},
  year      = {2020},
  abstract  = {Neurodegenerative diseases show an increase in prevalence and incidence, with the most prominent example being Alzheimer's disease. DNA damage has been suggested to play a role in the pathogenesis, but the exact mechanisms remain elusive. We enrolled 425 participants with and without neurodegenerative diseases and analyzed DNA damage in the form of micronuclei in buccal mucosa samples. In addition, other parameters such as binucleated cells, karyolytic cells, and karyorrhectic cells were quantified. No relevant differences in DNA damage and cytotoxicity markers were observed in patients compared to healthy participants. Furthermore, other parameters such as lifestyle factors and diseases were also investigated. Overall, this study could not identify a direct link between changes in buccal cells and neurogenerative diseases, but highlights the influence of lifestyle factors and diseases on the human buccal cytome.},
  language  = {en}
}
@article{SchwarzmeierLeehrBoehnleinetal.2020,
  author    = {Schwarzmeier, Hanna and Leehr, Elisabeth Johanna and B{\"o}hnlein, Joscha and Seeger, Fabian Reinhard and Roesmann, Kati and Gathmann, Bettina and Herrmann, Martin J. and Siminski, Niklas and Jungh{\"o}fer, Markus and Straube, Thomas and Grotegerd, Dominik and Dannlowski, Udo},
  title     = {Theranostic markers for personalized therapy of spider phobia: Methods of a bicentric external cross-validation machine learning approach},
  series = {International Journal of Methods in Psychiatric Research},
  volume    = {29},
  journal   = {International Journal of Methods in Psychiatric Research},
  number    = {2},
  doi       = {10.1002/mpr.1812},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-213430},
  year      = {2020},
  abstract  = {Objectives Embedded in the Collaborative Research Center "Fear, Anxiety, Anxiety Disorders" (CRC-TRR58), this bicentric clinical study aims at identifying biobehavioral markers of treatment (non-)response by applying machine learning methodology with an external cross-validation protocol. We hypothesize that a priori prediction of treatment (non-)response is possible in a second, independent sample based on multimodal markers. Methods One-session virtual reality exposure treatment (VRET) with patients with spider phobia was conducted on two sites. Clinical, neuroimaging, and genetic data were assessed at baseline, post-treatment and after 6 months. The primary and secondary outcomes defining treatment response are as follows: 30\% reduction regarding the individual score in the Spider Phobia Questionnaire and 50\% reduction regarding the individual distance in the behavioral avoidance test. Results N = 204 patients have been included (n = 100 in W{\"u}rzburg, n = 104 in M{\"u}nster). Sample characteristics for both sites are comparable. Discussion This study will offer cross-validated theranostic markers for predicting the individual success of exposure-based therapy. Findings will support clinical decision-making on personalized therapy, bridge the gap between basic and clinical research, and bring stratified therapy into reach. The study is registered at ClinicalTrials.gov (ID: NCT03208400).},
  language  = {en}
}