↓ Skip to main content

An updated histological classification system for multiple sclerosis lesions

Overview of attention for article published in Acta Neuropathologica, December 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
8 X users
patent
2 patents
wikipedia
1 Wikipedia page
f1000
1 research highlight platform

Citations

dimensions_citation
436 Dimensions

Readers on

mendeley
586 Mendeley
Title
An updated histological classification system for multiple sclerosis lesions
Published in
Acta Neuropathologica, December 2016
DOI 10.1007/s00401-016-1653-y
Pubmed ID
Authors

Tanja Kuhlmann, Samuel Ludwin, Alexandre Prat, Jack Antel, Wolfgang Brück, Hans Lassmann

Abstract

Multiple sclerosis is a complex and heterogeneous, most likely autoimmune, demyelinating disease of the central nervous system (CNS). Although a number of histological classification systems for CNS lesions have been used by different groups in recent years, no uniform classification exists. In this paper, we propose a simple and unifying classification of MS lesions incorporating many elements of earlier histological systems that aims to provide guidelines for neuropathologists and researchers studying MS lesions to allow for better comparison of different studies performed with MS tissue, and to aid in understanding the pathogenesis of the disease. Based on the presence/absence and distribution of macrophages/microglia (inflammatory activity) and the presence/absence of ongoing demyelination (demyelinating activity), we suggest differentiating between active, mixed active/inactive, and inactive lesions with or without ongoing demyelination. Active lesions are characterized by macrophages/microglia throughout the lesion area, whereas mixed active/inactive lesions have a hypocellular lesion center with macrophages/microglia limited to the lesion border. Inactive lesions are almost completely lacking macrophages/microglia. Active and mixed active/inactive lesions can be further subdivided into lesions with ongoing myelin destruction (demyelinating lesions) and lesions in which the destruction of myelin has ceased, but macrophages are still present (post-demyelinating lesions). This distinction is based on the presence or absence of myelin degradation products within the cytoplasm of macrophages/microglia. For this classification of MS lesions, identification of myelin with histological stains [such as luxol fast blue-PAS] or by immunohistochemistry using antibodies against myelin basic-protein (MBP) or proteolipid-protein (PLP), as well as, detection of macrophages/microglia by, e.g., anti-CD68 is sufficient. Active and demyelinating lesions may be further subdivided into the early and late demyelinating lesions. The former is defined by the presence in macrophages of major and small molecular weight myelin proteins, such as cyclic nucleotide diphosphoesterase (CNP), myelin oligodendrocyte glycoprotein (MOG), or myelin-associated protein (MAG), whereas macrophages in the latter demonstrate merely the presence of the major myelin proteins MBP or PLP. We discuss the histological features and staining techniques required to classify MS lesions, and, in addition, describe the histological hallmarks of cortical pathology and diffuse white matter changes, as well as of remyelination.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 586 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Canada 1 <1%
Unknown 584 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 94 16%
Student > Bachelor 76 13%
Student > Master 70 12%
Researcher 66 11%
Student > Doctoral Student 34 6%
Other 89 15%
Unknown 157 27%
Readers by discipline Count As %
Neuroscience 111 19%
Medicine and Dentistry 101 17%
Biochemistry, Genetics and Molecular Biology 50 9%
Agricultural and Biological Sciences 45 8%
Unspecified 23 4%
Other 77 13%
Unknown 179 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 October 2023.
All research outputs
#1,098,813
of 26,017,215 outputs
Outputs from Acta Neuropathologica
#167
of 2,635 outputs
Outputs of similar age
#21,195
of 414,181 outputs
Outputs of similar age from Acta Neuropathologica
#5
of 38 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 414,181 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.