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Evolution of retinal degeneration and prediction of disease activity in relapsing and progressive multiple sclerosis

Authors :
Julia Krämer
Carolin Balloff
Margit Weise
Valeria Koska
Yannik Uthmeier
Isabell Esderts
Mai Nguyen-Minh
Moritz Zimmerhof
Alex Hartmann
Michael Dietrich
Jens Ingwersen
John-Ih Lee
Joachim Havla
Tania Kümpfel
Martin Kerschensteiner
Vivien Häußler
Christoph Heesen
Jan-Patrick Stellmann
Hanna G. Zimmermann
Frederike C. Oertel
Marius Ringelstein
Alexander U. Brandt
Friedemann Paul
Orhan Aktas
Hans-Peter Hartung
Heinz Wiendl
Sven G. Meuth
Philipp Albrecht
Source :
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Retinal optical coherence tomography has been identified as biomarker for disease progression in relapsing-remitting multiple sclerosis (RRMS), while the dynamics of retinal atrophy in progressive MS are less clear. We investigated retinal layer thickness changes in RRMS, primary and secondary progressive MS (PPMS, SPMS), and their prognostic value for disease activity. Here, we analyzed 2651 OCT measurements of 195 RRMS, 87 SPMS, 125 PPMS patients, and 98 controls from five German MS centers after quality control. Peripapillary and macular retinal nerve fiber layer (pRNFL, mRNFL) thickness predicted future relapses in all MS and RRMS patients while mRNFL and ganglion cell-inner plexiform layer (GCIPL) thickness predicted future MRI activity in RRMS (mRNFL, GCIPL) and PPMS (GCIPL). mRNFL thickness predicted future disability progression in PPMS. However, thickness change rates were subject to considerable amounts of measurement variability. In conclusion, retinal degeneration, most pronounced of pRNFL and GCIPL, occurs in all subtypes. Using the current state of technology, longitudinal assessments of retinal thickness may not be suitable on a single patient level.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.b623b81163fc45c78c872333e4b0d660
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-024-49309-7