@article{WernerKobayashiJavadietal.2018,
  author    = {Werner, Rudolf A. and Kobayashi, Ryohei and Javadi, Mehrbod Som and K{\"o}ck, Zoe and Wakabayashi, Hiroshi and Unterecker, Stefan and Nakajima, Kenichi and Lapa, Constantin and Menke, Andreas and Higuchi, Takahiro},
  title     = {Impact of Novel Antidepressants on Cardiac Metaiodobenzylguanidine (mIBG) Uptake: Experimental Studies in SK-N-SH Cells and Healthy Rabbits},
  series = {Journal of Nuclear Medicine},
  journal   = {Journal of Nuclear Medicine},
  issn      = {0161-5505},
  doi       = {10.2967/jnumed.117.206045},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-161280},
  year      = {2018},
  abstract  = {Background: \(^{123}\)I-metaiodobenzylguanidine (mIBG) provides independent prognostic value for risk stratification among heart failure patients, but the use of concomitant medication should not impact its quantitative information. We aimed to evaluate the four most-prescribed antidepressants currently used as a first‑line treatment for patients with major depressive disorder (MDD) and their potential on altering mIBG imaging results. Methods: The inhibition effect of four different types of antidepressants (desipramine, escitalopram, venlafaxine and bupropion) for MDD treatment on \(^{131}\)I-mIBG uptake was assessed by in-vitro cell uptake assays using human neuroblastoma SK-N-SH cells. The half maximal inhibitory concentration (IC50) of tracer uptake was determined from dose-response curves. To evaluate the effects of IV pretreatment with desipramine (1.5 mg/kg) and escitalopram (2.5, 15 mg/kg) on mIBG cardiac uptake, in-vivo planar 123I-mIBG scans in healthy New Zealand White Rabbits were conducted. Results: The IC50 values of desipramine, escitalopram, venlafaxine and bupropion on \(^{131}\)I-mIBG cellular uptake were 11.9 nM, 7.5 μM, 4.92 μM, and 12.9 μM, respectively. At the maximum serum concentration (Cmax, as derived by previous clinical trials), the inhibition rates of 131I-mIBG uptake were 90.6 \% for desipramine, 25.5 \% for venlafaxine, 11.7 \% for bupropion and 0.72 \% for escitalopram. A low inhibition rate for escitalopram in the cell uptake study triggered investigation of an in-vivo rabbit model: with dosage considerably higher than clinical practice, the non-inhibitory effect of escitalopram was confirmed. Furthermore, pretreatment with desipramine led to a marked reduction of cardiac 123I-mIBG uptake. Conclusions: In the present in-vitro binding assay and in-vivo rabbit study, the selective-serotonin reuptake inhibitor escitalopram had no major impact on neuronal cardiac mIBG uptake within therapeutic dose ranges, while other types of first-line antidepressants for MDD treatment led to a significant decrease. These preliminary results warrant further confirmatory clinical trials regarding the reliability of cardiac mIBG imaging, in particular, if the patient's neuropsychiatric status would not tolerate withdrawal of a potentially norepinephrine interfering antidepressant.},
  subject      = {Antidepressants},
  language  = {en}
}
@article{BiernackaSangkuhlJenkinsetal.2015,
  author    = {Biernacka, J. M. and Sangkuhl, K. and Jenkins, G. and Whaley, R. M. and Barman, P. and Batzler, A. and Altman, R. B. and Arolt, V. and Brockm{\"o}ller, J. and Chen, C. H. and Domschke, K. and Hall-Flavin, D. K. and Hong, C. J. and Illi, A. and Ji, Y. and Kampman, O. and Kinoshita, T. and Leinonen, E. and Liou, Y. J. and Mushiroda, T. and Nonen, S. and Skime, M. K. and Wang, L. and Baune, B. T. and Kato, M. and Liu, Y. L. and Praphanphoj, V. and Stingl, J. C. and Tsai, S. J. and Kubo, M. and Klein, T. E. and Weinshilboum, R.},
  title     = {The International SSRI Pharmacogenomics Consortium (ISPC): a genome-wide association study of antidepressant treatment response},
  series = {Translational Psychiatry},
  volume    = {5},
  journal   = {Translational Psychiatry},
  number    = {e553},
  doi       = {10.1038/tp.2015.47},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-143223},
  year      = {2015},
  abstract  = {Response to treatment with selective serotonin reuptake inhibitors (SSRIs) varies considerably between patients. The International SSRI Pharmacogenomics Consortium (ISPC) was formed with the primary goal of identifying genetic variation that may contribute to response to SSRI treatment of major depressive disorder. A genome-wide association study of 4-week treatment outcomes, measured using the 17-item Hamilton Rating Scale for Depression (HRSD-17), was performed using data from 865 subjects from seven sites. The primary outcomes were percent change in HRSD-17 score and response, defined as at least 50\% reduction in HRSD-17. Data from two prior studies, the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomics Study (PGRN-AMPS) and the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, were used for replication, and a meta-analysis of the three studies was performed (N = 2394). Although many top association signals in the ISPC analysis map to interesting candidate genes, none were significant at the genome-wide level and the associations were not replicated using PGRN-AMPS and STAR*D data. Top association results in the meta-analysis of response included single-nucleotide polymorphisms (SNPs) in the HPRTP4 (hypoxanthine phosphoribosyltransferase pseudogene 4)/VSTM5 (V-set and transmembrane domain containing 5) region, which approached genome-wide significance (P = 5.03E - 08) and SNPs 5' upstream of the neuregulin-1 gene, NRG1 (P = 1.20E - 06). NRG1 is involved in many aspects of brain development, including neuronal maturation and variations in this gene have been shown to be associated with increased risk for mental disorders, particularly schizophrenia. Replication and functional studies of these findings are warranted.},
  language  = {en}
}
@article{HenningsKohliCzamaraetal.2013,
  author    = {Hennings, Johannes M. and Kohli, Martin A. and Czamara, Darina and Giese, Maria and Eckert, Anne and Wolf, Christiane and Heck, Angela and Domschke, Katharina and Arolt, Volker and Baune, Bernhard T. and Horstmann, Sonja and Br{\"u}ckl, Tanja and Klengel, Torsten and Menke, Andreas and M{\"u}ller-Myhsok, Bertram and Ising, Marcus and Uhr, Manfred and Lucae, Susanne},
  title     = {Possible Associations of NTRK2 Polymorphisms with Antidepressant Treatment Outcome: Findings from an Extended Tag SNP Approach},
  series = {PLoS ONE},
  volume    = {8},
  journal   = {PLoS ONE},
  number    = {6},
  doi       = {10.1371/journal.pone.0065636},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-130924},
  pages     = {e64947},
  year      = {2013},
  abstract  = {Background: Data from clinical studies and results from animal models suggest an involvement of the neurotrophin system in the pathology of depression and antidepressant treatment response. Genetic variations within the genes coding for the brain-derived neurotrophic factor (BDNF) and its key receptor Trkb (NTRK2) may therefore influence the response to antidepressant treatment. Methods: We performed a single and multi-marker association study with antidepressant treatment outcome in 398 depressed Caucasian inpatients participating in the Munich Antidepressant Response Signature (MARS) project. Two Caucasian replication samples (N = 249 and N = 247) were investigated, resulting in a total number of 894 patients. 18 tagging SNPs in the BDNF gene region and 64 tagging SNPs in the NTRK2 gene region were genotyped in the discovery sample; 16 nominally associated SNPs were tested in two replication samples. Results: In the discovery analysis, 7 BDNF SNPs and 9 NTRK2 SNPs were nominally associated with treatment response. Three NTRK2 SNPs (rs10868223, rs1659412 and rs11140778) also showed associations in at least one replication sample and in the combined sample with the same direction of effects (\(P_{corr}\) = .018, \(P_{corr}\) = .015 and \(P_{corr}\) = .004, respectively). We observed an across-gene BDNF-NTRK2 SNP interaction for rs4923468 and rs1387926. No robust interaction of associated SNPs was found in an analysis of BDNF serum protein levels as a predictor for treatment outcome in a subset of 93 patients. Conclusions/Limitations: Although not all associations in the discovery analysis could be unambiguously replicated, the findings of the present study identified single nucleotide variations in the BDNF and NTRK2 genes that might be involved in antidepressant treatment outcome and that have not been previously reported in this context. These new variants need further validation in future association studies.},
  language  = {en}
}