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Pathological abnormalities in the normal-appearing white matter in multiple sclerosis

Overview of attention for article published in Neurological Sciences, April 2001
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Title
Pathological abnormalities in the normal-appearing white matter in multiple sclerosis
Published in
Neurological Sciences, April 2001
DOI 10.1007/s100720170012
Pubmed ID
Authors

I. V. Allen, S. McQuaid, M. Mirakhur, G. Nevin

Abstract

In established cases of multiple sclerosis (MS), the normal-appearing white matter (NAWM), as defined for magnetic resonance imaging (MRI), is abnormal in the majority of cases. The clinical significance of these NAWM abnormalities is the subject of debate, but there is strong correlation with degree and progression of disability. New lesions form in NAWM before blood-brain barrier breakdown, as evidenced by gadolinium enhancement. The pathological basis of these neuroimaging abnormalities is largely unknown. Definitive pathological studies on the NAWM are few and are often based on small numbers of samples and of cases. Despite a variety of MS NAWM pathological studies, major research questions, of importance to our understanding of basic pathogenetic mechanisms and consequent rational therapies, remain unanswered. These relate to the frequency and extent of oligodendrocyte/myelin and axonal abnormalities in MS NAWM, and to the cellular basis of very early MS lesions detected by neuroimaging. In a pilot study of MS NAWM, microglial activation was demonstrated in 9 of 10 MS cases. We are currently testing the hypothesis that microglial activation, as defined by altered phenotype and HLA-DR positivity, will act as a marker for oligodendrocyte/myelin and axonal pathology in MS NAWM.

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Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Germany 1 <1%
Unknown 122 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 22%
Student > Master 20 16%
Student > Bachelor 16 13%
Researcher 16 13%
Other 7 6%
Other 18 14%
Unknown 21 17%
Readers by discipline Count As %
Medicine and Dentistry 41 33%
Neuroscience 28 22%
Agricultural and Biological Sciences 19 15%
Engineering 4 3%
Physics and Astronomy 3 2%
Other 7 6%
Unknown 24 19%