@phdthesis{Reinhold2016,
  author    = {Reinhold, Ann-Kristin},
  title     = {New players in neuropathic pain? microRNA expression in dorsal root ganglia and differential transcriptional profiling in primary sensory neurons},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-140314},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2016},
  abstract  = {Neuropathic pain, caused by neuronal damage, is a severely impairing mostly chronic condition. Its underlying molecular mechanisms have not yet been thoroughly understood in their variety. In this doctoral thesis, I investigated the role of microRNAs (miRNAs) in a murine model of peripheral neuropathic pain. MiRNAs are small, non-coding RNAs known to play a crucial role in post-transcriptional gene regulation, mainly in cell proliferation and differentiation. Initially, expression patterns in affected dorsal root ganglia (DRG) at different time points after setting a peripheral nerve lesion were studied. DRG showed an increasingly differential expression pattern over the course of one week. Interestingly, a similar effect, albeit to a smaller extent, was observed in corresponding contralateral ganglia. Five miRNA (miR-124, miR-137, miR-183, miR-27b, and miR-505) were further analysed. qPCR, in situ hybridization, and bioinformatical analysis point towards a role for miR-137 and -183 in neuropathic pain as both were downregulated. Furthermore, miR-137 is shown to be specific for non-peptidergic non-myelinated nociceptors (C fibres) in DRG. As the ganglia consist of highly heterocellular tissue, I also developed a neuron-specific approach. Primarily damaged neurons were separated from intact adjacent neurons using fluorescence-activated cell-sorting and their gene expression pattern was analysed using a microarray. Thereby, not only were information obtained about mRNA expression in both groups but, by bioinformatical tools, also inferences on miRNA involvement. The general expression pattern was consistent with previous findings. Still, several genes were found differentially expressed that had not been described in this context before. Among these are corticoliberin or cation-regulating proteins like Otopetrin1. Bioinformatical data conformed, in part, to results from whole DRG, e.g. they implied a down-regulation of miR-124, -137, and -183. However, these results were not significant. In summary, I found that a) miRNA expression in DRG is influenced by nerve lesions typical of neuropathic pain and that b) these changes develop simultaneously to over-expression of galanin, a marker for neuronal damage. Furthermore, several miRNAs (miR-183, -137) exhibit distinct expression patterns in whole-DRG as well as in neuron-specific approaches. Therefore, further investigation of their possible role in initiation and maintenance of neuropathic pain seems promising. Finally, the differential expression of genes like Corticoliberin or Otopetrin 1, previously not described in neuropathic pain, has already resulted in follow-up projects.},
  subject      = {Schmerzforschung},
  language  = {en}
}
@article{SommerRichterRogauschetal.2011,
  author    = {Sommer, Claudia and Richter, Helmut and Rogausch, Jan P. and Frettloh, Jule and Lungenhausen, Margitta and Maier, Christoph},
  title     = {A modified score to identify and discriminate neuropathic pain: a study on the German version of the neuropathic pain symptom inventory (NPSI)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-68716},
  year      = {2011},
  abstract  = {Background: Neuropathic pain must be correctly diagnosed for optimal treatment. The questionnaire named Neuropathic Pain Symptom Inventory (NPSI) was developed in its original French version to evaluate the different symptoms of neuropathic pain. We hypothesized that the NPSI might also be used to differentiate neuropathic from non-neuropathic pain. Methods: We translated the NPSI into German using a standard forward-backward translation and administered it in a case-control design to patients with neuropathic (n = 68) and non-neuropathic pain (headache and osteoarthritis, n = 169) to validate it and to analyze its discriminant properties, its sensitivity to change, and to detect neuropathic pain subgroups with distinct profiles. Results: Using a sum score (the NPSI-G score), we found sensitivity to change (r between 0.37 and 0.5 for pain items of the graded chronic pain scale) and could distinguish between neuropathic and other pain on a group basis, but not for individual patients. Post hoc development of a discriminant score with optimized diagnostic properties to distinguish neuropathic pain from non-neuropathic pain resulted in an instrument with high sensitivity (91\%) and acceptable specificity (70\%). We detected six different pain profiles in the patient group with neuropathic pain; three profiles were found to be distinct. Conclusions: The NPSI-G potentially combines the properties of a diagnostic tool and an instrument to identify subtypes of neuropathic pain.},
  subject      = {Neuralgie},
  language  = {en}
}