scholarly journals Serum neurofilament levels reflect outer retinal layer changes in multiple sclerosis

2021 ◽  
Vol 14 ◽  
pp. 175628642110034
Author(s):  
Caspar B. Seitz ◽  
Falk Steffen ◽  
Muthuraman Muthuraman ◽  
Timo Uphaus ◽  
Julia Krämer ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Optic Neuritis ◽  
Previous History ◽  
Supervised Machine Learning ◽  
Support Vector ◽  
Retinal Layer ◽  
Neurofilament Light Chain ◽  
Neurofilament Light ◽  
Retinal Layers ◽  
History Of

Background: Serum neurofilament light chain (sNfL) and distinct intra-retinal layers are both promising biomarkers of neuro-axonal injury in multiple sclerosis (MS). We aimed to unravel the association of both markers in early MS, having identified that neurofilament has a distinct immunohistochemical expression pattern among intra-retinal layers. Methods: Three-dimensional (3D) spectral domain macular optical coherence tomography scans and sNfL levels were investigated in 156 early MS patients (female/male: 109/47, mean age: 33.3 ± 9.5 years, mean disease duration: 2.0 ± 3.3 years). Out of the whole cohort, 110 patients had no history of optic neuritis (NHON) and 46 patients had a previous history of optic neuritis (HON). In addition, a subgroup of patients ( n = 38) was studied longitudinally over 2 years. Support vector machine analysis was applied to test a regression model for significant changes. Results: In our cohort, HON patients had a thinner outer plexiform layer (OPL) volume compared to NHON patients ( B = −0.016, SE = 0.006, p = 0.013). Higher sNfL levels were significantly associated with thinner OPL volumes in HON patients ( B = −6.734, SE = 2.514, p = 0.011). This finding was corroborated in the longitudinal subanalysis by the association of higher sNfL levels with OPL atrophy ( B = 5.974, SE = 2.420, p = 0.019). sNfL levels were 75.7% accurate at predicting OPL volume in the supervised machine learning. Conclusions: In summary, sNfL levels were a good predictor of future outer retinal thinning in MS. Changes within the neurofilament-rich OPL could be considered as an additional retinal marker linked to MS neurodegeneration.

Cerebrospinal fluid levels of chitinase 3-like 1 and neurofilament light chain predict multiple sclerosis development and disability after optic neuritis

2015 ◽  
Vol 21 (14) ◽  
pp. 1761-1770 ◽  
Author(s):  
S Modvig ◽  
M Degn ◽  
H Roed ◽  
TL Sørensen ◽  
HBW Larsson ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cerebrospinal Fluid ◽  
Optic Neuritis ◽  
Light Chain ◽  
Oligoclonal Bands ◽  
Enzyme Linked Immunosorbent Assay ◽  
Csf Biomarkers ◽  
Neurofilament Light Chain ◽  
Neurofilament Light

Background: Cerebrospinal fluid (CSF) biomarkers have been suggested to predict multiple sclerosis (MS) after clinically isolated syndromes, but studies investigating long-term prognosis are needed. Objective: To assess the predictive ability of CSF biomarkers with regard to MS development and long-term disability after optic neuritis (ON). Methods: Eighty-six patients with ON as a first demyelinating event were included retrospectively. Magnetic resonance imaging (MRI), CSF leukocytes, immunoglobulin G index and oligoclonal bands were registered. CSF levels of chitinase-3-like-1, osteopontin, neurofilament light-chain, myelin basic protein, CCL2, CXCL10, CXCL13 and matrix metalloproteinase-9 were measured by enzyme-linked immunosorbent assay. Patients were followed up after 13.6 (range 9.6–19.4) years and 81.4% were examined, including Expanded Disability Status Scale and MS functional composite evaluation. 18.6% were interviewed by phone. Cox regression, multiple regression and Spearman correlation analyses were used. Results: Forty-six (53.5%) developed clinically definite MS (CDMS) during follow-up. In a multivariate model MRI ( p=0.0001), chitinase 3-like 1 ( p=0.0033) and age ( p=0.0194) combined predicted CDMS best. Neurofilament light-chain predicted long-term disability by the multiple sclerosis severity scale ( p=0.0111) and nine-hole-peg-test ( p=0.0202). Chitinase-3-like-1 predicted long-term cognitive impairment by the paced auditory serial addition test ( p=0.0150). Conclusion: Neurofilament light-chain and chitinase-3-like-1 were significant predictors of long-term physical and cognitive disability. Furthermore, chitinase-3-like-1 predicted CDMS development. Thus, these molecules hold promise as clinically valuable biomarkers after ON as a first demyelinating event.

scholarly journals Agreement of different OCT scan directions for individual retinal-layer thickness measurements in multiple sclerosis subjects with prior unilateral optic neuritis

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Alberto Domínguez-Vicent ◽  
Maria Nilsson ◽  
Rune Brautaset ◽  
Abinaya Priya Venkataraman
Keyword(s):  
Multiple Sclerosis ◽  
Optic Neuritis ◽  
Layer Thickness ◽  
Retinal Layer ◽  
Healthy Controls ◽  
Fiber Layer ◽  
Individual Layer ◽  
History Of ◽  
The Individual ◽  
Thickness Measurements

AbstractThe similarities between horizontal and vertical Optical Coherence Tomography (OCT) scans for the individual retinal layer thickness measurements in the macula was evaluated. Two volumetric scans (B-scans oriented horizontally and vertically) were performed in 64 multiple sclerosis subjects with history of unilateral optic neuritis and 64 healthy controls. The agreement between the thickness measurements with horizontal and vertical OCT scans was evaluated in 3 groups of eyes: healthy controls, eyes with history of optic neuritis and the fellow eyes. The mean difference in individual layer thickness between the scans was smaller than the instrument’s axial resolution in all 3 groups. The limit of agreement (LoA) varied among the different layers and sectors analyzed and this trend was similar in all the groups. For the inner retinal layers (retinal nerve fiber layer to inner nuclear layer), the inner macular sectors had a larger LoA compared to the corresponding outer sectors. In the outer plexiform and nuclear layers, the central and inner sectors (except inner temporal) had LoA larger than the other sectors and layers. The larger LoA seen for different layers and sectors suggests that the scan direction must be same for the follow-up OCT measurements and in clinical studies.

Optical coherence tomography angiography indicates associations of the retinal vascular network and disease activity in multiple sclerosis

2018 ◽  
Vol 25 (2) ◽  
pp. 224-234 ◽  
Author(s):  
Nikolaus Feucht ◽  
Mathias Maier ◽  
Gildas Lepennetier ◽  
Moritz Pettenkofer ◽  
Carmen Wetzlmair ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Optical Coherence Tomography ◽  
Optic Neuritis ◽  
Disease Activity ◽  
Optical Coherence Tomography Angiography ◽  
Retinal Layer ◽  
Healthy Controls ◽  
Optical Coherence ◽  
History Of ◽  
Vascular Plexuses

Background: Patients with multiple sclerosis (MS) and clinically isolated syndrome (CIS) may show alterations of retinal layer architecture as measured by optical coherence tomography. Little is known about changes in the retinal vascular network during MS. Objective: To characterize retinal vessel structures in patients with MS and CIS and to test for associations with MS disease activity. Method: In all, 42 patients with MS or CIS and 50 healthy controls underwent retinal optical coherence tomography angiography (OCT-A) with analysis of the superficial and deep vascular plexuses and the choriocapillaries. We tested OCT-A parameters for associations with retinal layer volumes, history of optic neuritis (ON), and the retrospective disease activity. Results: Inner retinal layer volumes correlated positively with the density of both the superficial and deep vascular plexuses. Eyes of MS/CIS patients with a history of ON revealed reduced vessel densities of the superficial and deep vascular plexuses as compared to healthy controls. Higher choriocapillary vessel densities were associated with ongoing inflammatory disease activity during 24 months prior to OCT-A examination in MS and CIS patients. Conclusion: Optic neuritis is associated with rarefaction of the superficial and deep retinal vessels. Alterations of the choriocapillaries might be linked to disease activity in MS.

scholarly journals Cerebrospinal fluid neurofilament light chain in multiple sclerosis and its subtypes: a meta-analysis of case–control studies

2019 ◽  
Vol 90 (9) ◽  
pp. 1059-1067 ◽  
Author(s):  
Sarah-Jane Martin ◽  
Sarah McGlasson ◽  
David Hunt ◽  
James Overell
Keyword(s):  
Multiple Sclerosis ◽  
Cerebrospinal Fluid ◽  
Light Chain ◽  
Meta Analysis ◽  
Grey Literature ◽  
Case Control ◽  
Disease Stage ◽  
Case Control Studies ◽  
Neurofilament Light Chain ◽  
Neurofilament Light

ObjectiveNeurofilament is a biomarker of axonal injury proposed as a useful adjunct in the monitoring of patients with multiple sclerosis (MS). We conducted a systematic review and meta-analysis of case–control studies that have measured neurofilament light chain (NfL) levels in cerebrospinal fluid (CSF) of people with MS (pwMS), in order to determine whether, and to what degree, CSF NfL levels differentiate MS from controls, or the subtypes or stages of MS from each other.MethodsGuidelines on Preferred Reporting Items for Systematic Reviews and Meta-Analyses were followed. Electronic databases were searched for published and ‘grey’ literature, with 151 hits. Of 51 full articles screened, 20 were included in qualitative analysis, and 14 in meta-analysis.ResultsCSF NfL was higher in 746 pwMS than 435 (healthy and disease) controls, with a moderate effect size of 0.61 (p < 0.00001). Mean CSF NfL levels were significantly higher in 176 pwMS with relapsing disease than 92 with progressive disease (2124.8 ng/L, SD 3348.9 vs 1121.4 ng/L, SD 947.7, p = 0.0108). CSF NfL in 138 pwMS in relapse (irrespective of MS subtype) was double that seen in 268 pwMS in remission (3080.6 ng/L, SD 4715.9 vs 1541.7 ng/L, SD 2406.5, p < 0.0001).ConclusionsCSF NfL correlates with MS activity throughout the course of MS, reflecting the axonal damage in pwMS. Relapse is more strongly associated with elevated CSF NfL levels than the development of progression, and NfL may be most useful as a marker of disease ‘activity’ rather than as a marker of disability or disease stage.

scholarly journals Should We Use Clinical Tools to Identify Disease Progression?

2021 ◽  
Vol 11 ◽  
Author(s):  
Hernan Inojosa ◽  
Undine Proschmann ◽  
Katja Akgün ◽  
Tjalf Ziemssen
Keyword(s):  
Multiple Sclerosis ◽  
Clinical Markers ◽  
Disability Progression ◽  
Neurofilament Light Chain ◽  
Neurofilament Light ◽  
Secondary Progressive ◽  
Disability Status ◽  
Relapsing Remitting ◽  
Clinical Tools

The presence of disability progression in multiple sclerosis (MS) is an important hallmark for MS patients in the course of their disease. The transition from relapsing remitting (RRMS) to secondary progressive forms of the disease (SPMS) represents a significant change in their quality of life and perception of the disease. It could also be a therapeutic key for opportunities, where approaches different from those in the initial phases of the disease can be adopted. The characterization of structural biomarkers (e.g., magnetic resonance imaging or neurofilament light chain) has been proposed to differentiate between both phenotypes. However, there is no definite threshold between them. Whether the risk of clinical progression can be predicted by structural markers at early disease phases is still a focus of clinical research. However, several theories and pathological evidence suggest that both disease phenotypes are part of a continuum with common pathophysiological mechanisms. In this case, the clinical evaluation of the patients would play a preponderant role above destruction biomarkers for the early identification of disability progression and SPMS. For this purpose, the use of clinical tools beyond the Expanded Disability Status Scale (EDSS) should be considered. Besides established functional tests such as the Multiple Sclerosis Functional Composite (MSFC), patient's neurological history or digital resources may help neurologists in the decision-taking. In this article, we discuss arguments for the use of clinical markers in the detection of secondary progressive MS and the characterization of progressive disease activity.

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