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Spatial and temporal profiles of growth factor expression during CNS demyelination reveal the dynamics of repair priming.

ABSTRACT: Demyelination is the cause of disability in various neurological disorders. It is therefore crucial to understand the molecular regulation of oligodendrocytes, the myelin forming cells in the CNS. Growth factors are known to be essential for the development and maintenance of oligodendrocytes and are involved in the regulation of glial responses in various pathological conditions. We employed the well established murine cuprizone model of toxic demyelination to analyze the expression of 13 growth factors in the CNS during de- and remyelination. The temporal mRNA expression profile during demyelination and the subsequent remyelination were analyzed separately in the corpus callosum and cerebral cortex using laser microdissection and real-time PCR techniques. During demyelination a similar pattern of growth factor mRNA expression was observed in both areas with a strong up-regulation of NRG1 and GDNF and a slight increase of CNTF in the first week of cuprizone treatment. HGF, FGF-2, LIF, IGF-I, and TGF-ß1 were up-regulated mainly during peak demyelination. In contrast, during remyelination there were regional differences in growth factor mRNA expression levels. GDNF, CNTF, HGF, FGF-2, and BDNF were elevated in the corpus callosum but not in the cortex, suggesting tissue differences in the molecular regulation of remyelination in the white and grey matter. To clarify the cellular source we isolated microglia from the cuprizone lesions. GDNF, IGF-1, and FGF mRNA were detected in the microglial fraction with a temporal pattern corresponding to that from whole tissue PCR. In addition, immunohistochemical analysis revealed IGF-1 protein expression also in the reactive astrocytes. CNTF was located in astrocytes. This study identified seven different temporal expression patterns for growth factors in white and grey matter and demonstrated the importance of early tissue priming and exact orchestration of different steps during callosal and cortical de- and remyelination.

SUBMITTER: Gudi V

PROVIDER: S-EPMC3144923 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Introduction: Anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis, a serious neurological autoimmune disorder caused by autoantibodies with diverse clinical manifestations, may simultaneously onset with antimyelin oligodendrocyte glycoprotein (MOG) demyelination after recurrent central nervous system (CNS) demyelination. Case Report: We present a case of anti-NMDAR encephalitis combining with anti-MOG CNS demyelination following recurrent CNS demyelination. A 38-year-old man admitted to hospital developed epileptic seizures following recurrent episodes of cross-sensory disturbance and dizziness. Magnetic resonance imaging (MRI) showed a demyelinating lesion in the right brainstem initially. Despite a good response to methylprednisolone pulse therapy at the beginning, the patient still had relapses and progression after corticosteroid reduction or withdrawal. Then brain MRI discovered new serpentine lesions involving extensive cerebral cortex on his second relapse. Repeat autoantibodies test indicated cerebrospinal fluid (CSF) NMDAR antibodies coexisted with MOG-Abs simultaneously, suggesting the diagnosis of anti-NMDAR encephalitis with anti-MOG CNS demyelination. Results: After a definite diagnosis, the patient was treated with mycophenolate mofetil (MMF) and corticosteroid. He was discharged after his symptoms ameliorated. No neurological sequels remained, and there were no effects on his activities of daily living after 6 months of immunoregulatory therapy of MMF and corticosteroid. Conclusion: For individuals with recurrent CNS demyelination, especially combining with cortical encephalitis, repeated detection of autoantibodies against AE, and demyelination in CSF/serum can be helpful to enable a definite early diagnosis. For patients who suffer from anti-NMDAR encephalitis combining with anti-MOG CNS demyelination, second-line immunotherapy is recommended when first-line treatment such as steroids, intravenous immunoglobulin G (IVIG) and plasma exchange has been proven ineffective to prevent the relapse of disease.

Project description:BackgroundMacrophages show versatile functions in innate immunity, infectious diseases, and progression of cancers and cardiovascular diseases. These versatile functions of macrophages are conducted by different macrophage phenotypes classified as classically activated macrophages and alternatively activated macrophages due to different stimuli in the complex in vivo cytokine environment. Dissecting the regulation of macrophage activations will have a significant impact on disease progression and therapeutic strategy. Mathematical modeling of macrophage activation can improve the understanding of this biological process through quantitative analysis and provide guidance to facilitate future experimental design. However, few results have been reported for a complete model of macrophage activation patterns.ResultsWe globally searched and reviewed literature for macrophage activation from PubMed databases and screened the published experimental results. Temporal in vitro macrophage cytokine expression profiles from published results were selected to establish Boolean network models for macrophage activation patterns in response to three different stimuli. A combination of modeling methods including clustering, binarization, linear programming (LP), Boolean function determination, and semi-tensor product was applied to establish Boolean networks to quantify three macrophage activation patterns. The structure of the networks was confirmed based on protein-protein-interaction databases, pathway databases, and published experimental results. Computational predictions of the network evolution were compared against real experimental results to validate the effectiveness of the Boolean network models.ConclusionThree macrophage activation core evolution maps were established based on the Boolean networks using Matlab. Cytokine signatures of macrophage activation patterns were identified, providing a possible determination of macrophage activations using extracellular cytokine measurements.

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Spatial and temporal profiles of growth factor expression during CNS demyelination reveal the dynamics of repair priming.

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