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Serum Neurofilament As a Predictor of 10-year Grey Matter Atrophy and Clinical Disability in Multiple Sclerosis: a Longitudinal Study

Abstract

Background: The predictive value of serum neurofilament light chain (sNfL) on long-term prognosis in multiple sclerosis (MS) is still unclear.

Objective: Investigate the relation between sNfL levels over a 2-year period in patients with relapsing-remitting MS, and clinical disability and grey matter (GM) atrophy after 10 years.

Methods: 85 patients, originally enrolled in a multicentre, randomised trial of ω-3 fatty acids, participated in a 10-year follow-up visit. sNfL levels were measured by Simoa quarterly until month 12, and then at month 24. The appearance of new gadolinium-enhancing (Gd+) lesions was assessed monthly between baseline and month 9, and then at months 12 and 24. At the 10-year follow-up visit, brain atrophy measures were obtained using FreeSurfer.

Results: Higher mean sNfL levels during early periods of active inflammation (Gd+ lesions present or recently present) predicted lower total (β=-0.399, p=0.040) and deep (β=-0.556, p=0.010) GM volume, lower mean cortical thickness (β=-0.581, p=0.010) and higher T2 lesion count (β=0.498, p=0.018). Of the clinical outcomes, higher inflammatory sNfL levels were associated with higher disability measured by the dominant hand Nine-Hole Peg Test (β=0.593, p=0.004). Mean sNfL levels during periods of remission (no Gd+ lesions present or recently present) did not predict GM atrophy or disability progression.

Conclusion: Higher sNfL levels during periods of active inflammation predicted more GM atrophy and specific aspects of clinical disability 10 years later. The findings suggest that subsequent long-term GM atrophy is mainly due to neuroaxonal degradation within new lesions.

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References
1.
Hasan K, Kamali A, Kramer L . Mapping the human brain white matter tracts relative to cortical and deep gray matter using diffusion tensor imaging at high spatial resolution. Magn Reson Imaging. 2009; 27(5):631-6. DOI: 10.1016/j.mri.2008.10.007. View

2.
Torkildsen O, Wergeland S, Bakke S, Beiske A, Bjerve K, Hovdal H . ω-3 fatty acid treatment in multiple sclerosis (OFAMS Study): a randomized, double-blind, placebo-controlled trial. Arch Neurol. 2012; 69(8):1044-51. DOI: 10.1001/archneurol.2012.283. View

3.
Bergsland N, Lagana M, Tavazzi E, Caffini M, Tortorella P, Baglio F . Corticospinal tract integrity is related to primary motor cortex thinning in relapsing-remitting multiple sclerosis. Mult Scler. 2015; 21(14):1771-80. DOI: 10.1177/1352458515576985. View

4.
Barro C, Benkert P, Disanto G, Tsagkas C, Amann M, Naegelin Y . Serum neurofilament as a predictor of disease worsening and brain and spinal cord atrophy in multiple sclerosis. Brain. 2018; 141(8):2382-2391. DOI: 10.1093/brain/awy154. View

5.
Sherman S . Functioning of Circuits Connecting Thalamus and Cortex. Compr Physiol. 2017; 7(2):713-739. DOI: 10.1002/cphy.c160032. View