scholarly journals Evaluation of retinal nerve fiber and ganglion cell layers in patients with multiple sclerosis and fibromyalgia

2022 ◽  
Vol 100 (S267) ◽  
Author(s):  
Elisa Viladés Palomar ◽  
Beatriz Cordón Ciordia ◽  
Maria Jesus Rodrigo ◽  
Manuel Subías Perié ◽  
Lorena Arias Campo ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Ganglion Cell ◽  
Nerve Fiber ◽  
Cell Layers ◽  
Retinal Nerve Fiber

Progressive Changes in the Retinal Nerve Fiber Layer in Patients with Multiple Sclerosis

2010 ◽  
Vol 20 (1) ◽  
pp. 167-173 ◽  
Author(s):  
Elena García-Martín ◽  
Victoria Pueyo ◽  
Jesus Martin ◽  
Carmen Almarcegui ◽  
Jose R. Ara ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Nerve Fiber ◽  
Retinal Nerve Fiber Layer ◽  
Fiber Layer ◽  
Nerve Fiber Layer ◽  
Retinal Nerve Fiber

Retinal nerve fiber layer thickness in multiple sclerosis subtypes

2015 ◽  
Vol 52 (3) ◽  
pp. 216 ◽  
Author(s):  
DinaA Zamzam ◽  
AymanA Gaafar ◽  
AhmedT Ismail ◽  
Ahmed Elbassiouny ◽  
MohamedA Tork ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Nerve Fiber ◽  
Layer Thickness ◽  
Retinal Nerve Fiber Layer ◽  
Fiber Layer ◽  
Nerve Fiber Layer ◽  
Nerve Fiber Layer Thickness ◽  
Retinal Nerve Fiber

Serum neurofilament levels correlate with retinal nerve fiber layer thinning in multiple sclerosis

2019 ◽  
Vol 26 (13) ◽  
pp. 1682-1690 ◽  
Author(s):  
Gabriel Bsteh ◽  
Klaus Berek ◽  
Harald Hegen ◽  
Barbara Teuchner ◽  
Arabella Buchmann ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Linear Regression ◽  
Nerve Fiber ◽  
Single Molecule ◽  
Retinal Nerve Fiber Layer ◽  
Axonal Damage ◽  
Fiber Layer ◽  
Mixed Effect ◽  
Nerve Fiber Layer ◽  
Retinal Nerve Fiber

Background: Serum neurofilament light chain (sNfL) levels and peripapillary retinal nerve fiber layer (pRNFL) are both emerging biomarkers of neuro-axonal damage in multiple sclerosis (MS). However, data on the relation between sNfL and pRNFL are scarce. Objective: We aimed to determine the relation of sNfL levels with pRNFL thinning in a large cohort of relapsing–remitting (RR) MS patients. Methods: We identified 80 patients from a prospective, 3-year observational study on retinal changes in RRMS with annual blood samples available. sNfL levels were measured using single-molecule array (SimoaTM) assay. Annualized loss of pRNFL (aLpRNFL) was determined by individual linear regression models. Correlations between single and repeated sNfL levels and aLpRNFL were analyzed using multivariate linear regression and mixed-effect models. Results: After correction for sex, age, and baseline sNfL, an sNfL increase of 10 pg/mL was associated with an aLpRNFL of −0.7 µm (95% confidence interval (CI): (−1.3, −0.2), p < 0.001). Patients with ⩾2 sNfL measurements >75th percentile displayed higher aLpRNFL (2.2 µm, standard deviation (SD) 0.6) compared to patients with no sNfL measure >75th percentile (0.4 µm, SD 0.2, p < 0.001). Between 15% and 20% of the aLpRNFL variance could be predicted from sNfL levels. Conclusion: sNfL levels contribute to the prediction of retinal thinning in patients with RRMS, strengthening its value as a biomarker of neuro-axonal damage.

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