Remyelination in multiple sclerosis

Wolfgang Brück1, Tanja Kuhlmann, Christine Stadelmann

  • 1Institut für Neuropathologie, Charité, Campus Virchow-Klinikum, Humboldt-Universität, Augustenburger Platz 1, 13353, Berlin, Germany. wolfgang.brueck@charite.de

Insights

Remyelination in multiple sclerosis (MS) lesions involves myelinating cells and axons. This review explores imaging markers for this crucial repair process in MS.

Area of Science:

  • Neuroscience
  • Immunology
  • Radiology

Background:

  • Remyelination, the repair of myelin sheaths, occurs in multiple sclerosis (MS) lesions.
  • Successful remyelination requires mature oligodendrocytes and proper oligodendrocyte-axon interaction.
  • Current imaging techniques lack defined signals for detecting remyelination in MS.

Purpose of the Study:

  • To review the morphological characteristics of remyelinated MS lesions.
  • To correlate lesion appearance with oligodendrocyte pathology.
  • To identify potential imaging markers for remyelination in MS.

Main Methods:

  • Literature review of studies on MS lesions, oligodendrocytes, and imaging.
  • Analysis of morphological features in remyelinating lesions.
  • Correlation of imaging findings with oligodendrocyte markers and pathology.

Main Results:

  • Morphological evidence of remyelination exists in MS lesions.
  • Oligodendrocyte presence and function are critical for remyelination.
  • Specific imaging signals for remyelination are still under investigation.

Conclusions:

  • Remyelination is an important endogenous repair mechanism in MS.
  • Understanding oligodendrocyte pathology is key to promoting remyelination.
  • Further research is needed to define reliable imaging markers for remyelination in MS.

Related Concept Videos

Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
38.1K
Multiple Regression01:25

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
4.0K
Multiple Voltage Sources01:25

Multiple Voltage Sources

Generally, a single battery is not enough to power some devices. In such cases, batteries can be combined in two ways: in series or in parallel.
In series, the positive terminal of one battery is connected to the negative terminal of another battery. Hence, the voltage of each battery is added to give the net voltage, which is increased because each battery boosts the electrons that enter it. The same current flows through each battery because they are connected in series.
Batteries are...
1.8K
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
477
Multiple Bar Graph01:07

Multiple Bar Graph

As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
9.4K
Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.5K