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Toward Precision Phenotyping of Multiple Sclerosis

Pitt David; Lo Chih Hung; Gauthier Susan A.; Hickman Richard A.; Longbrake Erin; Airas Laura M.; Mao-Draayer Yang; Riley Claire; De Jager Philip Lawrence; Wesley Sarah; Boster Aaron; Topalli Ilir; Bagnato Francesca; Mansoor Mohammad; Stuve Olaf; Kister Ilya; Pelletier Daniel; Stathopoulos Panos; Dutta Ranjan; Lincoln Matthew R.

Toward Precision Phenotyping of Multiple Sclerosis

Pitt David
Lo Chih Hung
Gauthier Susan A.
Hickman Richard A.
Longbrake Erin
Airas Laura M.
Mao-Draayer Yang
Riley Claire
De Jager Philip Lawrence
Wesley Sarah
Boster Aaron
Topalli Ilir
Bagnato Francesca
Mansoor Mohammad
Stuve Olaf
Kister Ilya
Pelletier Daniel
Stathopoulos Panos
Dutta Ranjan
Lincoln Matthew R.
Katso/Avaa
AirasEtAl2022TowardPrecisionPhenotypingOfMultipleSclerosis.pdf (439.9Kb)
Lataukset: 

NLM (Medline)
doi:10.1212/NXI.0000000000200025
URI
https://nn.neurology.org/content/9/6/e200025
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2022102463112
Tiivistelmä

The classification of multiple sclerosis (MS) has been established by Lublin in 1996 and revised in 2013. The revision includes clinically isolated syndrome, relapsing-remitting, primary progressive and secondary progressive MS, and has added activity (i.e., formation of white matter lesions or clinical relapses) as a qualifier. This allows for the distinction between active and nonactive progression, which has been shown to be of clinical importance. We propose that a logical extension of this classification is the incorporation of additional key pathological processes, such as chronic perilesional inflammation, neuroaxonal degeneration, and remyelination. This will distinguish MS phenotypes that may present as clinically identical but are driven by different combinations of pathological processes. A more precise description of MS phenotypes will improve prognostication and personalized care as well as clinical trial design. Thus, our proposal provides an expanded framework for conceptualizing MS and for guiding development of biomarkers for monitoring activity along the main pathological axes in MS.

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