Title |
Maternal Neurofascin-Specific Autoantibodies Bind to Structures of the Fetal Nervous System during Pregnancy, but Have No Long Term Effect on Development in the Rat
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Published in |
PLOS ONE, January 2014
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DOI | 10.1371/journal.pone.0085393 |
Pubmed ID | |
Authors |
Sonja Hochmeister, Thomas Pekar, Maren Lindner, Maja Kitic, Michaela Haindl, Maria Storch, Franz Fazekas, Christopher Linington |
Abstract |
Neurofascin was recently reported as a target for axopathic autoantibodies in patients with multiple sclerosis (MS), a response that will exacerbate axonal pathology and disease severity in an animal model of multiple sclerosis. As transplacental transfer of maternal autoantibodies can permanently damage the developing nervous system we investigated whether intrauterine exposure to this neurofascin-specific response had any detrimental effect on white matter tract development. To address this question we intravenously injected pregnant rats with either a pathogenic anti-neurofascin monoclonal antibody or an appropriate isotype control on days 15 and 18 of pregnancy, respectively, to mimic the physiological concentration of maternal antibodies in the circulation of the fetus towards the end of pregnancy. Pups were monitored daily with respect to litter size, birth weight, growth and motor development. Histological studies were performed on E20 embryos and pups sacrificed on days 2, 10, 21, 32 and 45 days post partum. |
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Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 5 | 15% |
Student > Master | 4 | 12% |
Student > Bachelor | 3 | 9% |
Researcher | 3 | 9% |
Student > Postgraduate | 3 | 9% |
Other | 6 | 18% |
Unknown | 10 | 29% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 12 | 35% |
Neuroscience | 3 | 9% |
Agricultural and Biological Sciences | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Computer Science | 1 | 3% |
Other | 4 | 12% |
Unknown | 11 | 32% |