@article{SchampelKuerten2017,
  author    = {Schampel, Andrea and Kuerten, Stefanie},
  title     = {Danger: high voltage - the role of voltage-gated calcium channels in central nervous system pathology},
  series = {Cells},
  volume    = {6},
  journal   = {Cells},
  number    = {4},
  doi       = {10.3390/cells6040043},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-172653},
  year      = {2017},
  abstract  = {Voltage-gated calcium channels (VGCCs) are widely distributed within the central nervous system (CNS) and presumed to play an important role in the pathophysiology of a broad spectrum of CNS disorders including Alzheimer's and Parkinson's disease as well as multiple sclerosis. Several calcium channel blockers have been in clinical practice for many years so that their toxicity and side effects are well studied. However, these drugs are primarily used for the treatment of cardiovascular diseases and most if not all effects on brain functions are secondary to peripheral effects on blood pressure and circulation. While the use of calcium channel antagonists for the treatment of CNS diseases therefore still heavily depends on the development of novel strategies to specifically target different channels and channel subunits, this review is meant to provide an impulse to further emphasize the importance of future research towards this goal.},
  language  = {en}
}
@article{KoenigerKuerten2017,
  author    = {Koeniger, Tobias and Kuerten, Stefanie},
  title     = {Splitting the "unsplittable": Dissecting resident and infiltrating macrophages in experimental autoimmune encephalomyelitis},
  series = {International Journal of Molecular Sciences},
  volume    = {18},
  journal   = {International Journal of Molecular Sciences},
  number    = {10},
  issn      = {1422-0067},
  doi       = {10.3390/ijms18102072},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-285067},
  year      = {2017},
  abstract  = {Macrophages predominate the inflammatory landscape within multiple sclerosis (MS) lesions, not only regarding cellularity but also with respect to the diverse functions this cell fraction provides during disease progression and remission. Researchers have been well aware of the fact that the macrophage pool during central nervous system (CNS) autoimmunity consists of a mixture of myeloid cells. Yet, separating these populations to define their unique contribution to disease pathology has long been challenging due to their similar marker expression. Sophisticated lineage tracing approaches as well as comprehensive transcriptome analysis have elevated our insight into macrophage biology to a new level enabling scientists to dissect the roles of resident (microglia and non-parenchymal macrophages) and infiltrating macrophages with unprecedented precision. To do so in an accurate way, researchers have to know their toolbox, which has been filled with diverse, discriminating approaches from decades of studying neuroinflammation in animal models. Every method has its own strengths and weaknesses, which will be addressed in this review. The focus will be on tools to manipulate and/or identify different macrophage subgroups within the injured murine CNS.},
  language  = {en}
}
@article{BailNotzRovitusoetal.2017,
  author    = {Bail, Kathrin and Notz, Quirin and Rovituso, Damiano M. and Schampel, Andrea and Wunsch, Marie and Koeniger, Tobias and Schropp, Verena and Bharti, Richa and Scholz, Claus-Juergen and Foerstner, Konrad U. and Kleinschnitz, Christoph and Kuerten, Stefanie},
  title     = {Differential effects of FTY720 on the B cell compartment in a mouse model of multiple sclerosis.},
  series = {Journal of Neuroinflammation},
  volume    = {14},
  journal   = {Journal of Neuroinflammation},
  number    = {148},
  doi       = {10.1186/s12974-017-0924-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-157869},
  year      = {2017},
  abstract  = {Background: MP4-induced experimental autoimmune encephalomyelitis (EAE) is a mouse model of multiple sclerosis (MS), which enables targeted research on B cells, currently much discussed protagonists in MS pathogenesis. Here, we used this model to study the impact of the S1P1 receptor modulator FTY720 (fingolimod) on the autoreactive B cell and antibody response both in the periphery and the central nervous system (CNS). Methods: MP4-immunized mice were treated orally with FTY720 for 30 days at the peak of disease or 50 days after EAE onset. The subsequent disease course was monitored and the MP4-specific B cell/antibody response was measured by ELISPOT and ELISA. RNA sequencing was performed to determine any effects on B cell-relevant gene expression. S1P\(_{1}\) receptor expression by peripheral T and B cells, B cell subset distribution in the spleen and B cell infiltration into the CNS were studied by flow cytometry. The formation of B cell aggregates and of tertiary lymphoid organs (TLOs) was evaluated by histology and immunohistochemistry. Potential direct effects of FTY720 on B cell aggregation were studied in vitro. Results: FTY720 significantly attenuated clinical EAE when treatment was initiated at the peak of EAE. While there was a significant reduction in the number of T cells in the blood after FTY720 treatment, B cells were only slightly diminished. Yet, there was evidence for the modulation of B cell receptor-mediated signaling upon FTY720 treatment. In addition, we detected a significant increase in the percentage of B220\(^{+}\) B cells in the spleen both in acute and chronic EAE. Whereas acute treatment completely abrogated B cell aggregate formation in the CNS, the numbers of infiltrating B cells and plasma cells were comparable between vehicle- and FTY720-treated mice. In addition, there was no effect on already developed aggregates in chronic EAE. In vitro B cell aggregation assays suggested the absence of a direct effect of FTY720 on B cell aggregation. However, FTY720 impacted the evolution of B cell aggregates into TLOs. Conclusions: The data suggest differential effects of FTY720 on the B cell compartment in MP4-induced EAE.},
  language  = {en}
}