Protein biomarkers for multiple sclerosis: semi-quantitative analysis of cerebrospinal fluid candidate protein biomarkers in different forms of multiple sclerosis

2012 ◽  
Vol 18 (8) ◽  
pp. 1081-1091 ◽  
Author(s):  
Timucin Avsar ◽  
Didem Korkmaz ◽  
Melih Tütüncü ◽  
N Onat Demirci ◽  
Sabahattin Saip ◽  
...  

Background: The complex pathogenesis of multiple sclerosis, combined with an unpredictable prognosis, requires identification of disease-specific diagnostic and prognostic biomarkers. Objective: To determine whether inflammatory proteins, such as neurofilament light chain, myelin oligodendrocyte glycoprotein and myelin basic protein, and neurodegenerative proteins, such as tau and glial fibrillary acidic protein, can serve as biomarkers for predicting the clinical subtype and prognosis of MS. Methods: Cerebrospinal fluid and serum samples were collected from patients with a diagnosis of clinically isolated syndrome ( n = 46), relapsing–remitting MS ( n = 67) or primary-progressive MS ( n = 22) along with controls having other non-inflammatory neurological disease ( n = 22). Western blot analyses were performed for the listed proteins. Protein levels were compared among different clinical subtypes using one-way analysis of variance analysis. The k-nearest neighbour algorithm was further used to assess the predictive use of these proteins for clinical subtype classification. Results: The results showed that each of tau, GFAP, MOG and NFL protein concentrations differed significantly ( p < 0.001) in multiple sclerosis clinical subtypes compared with the controls. Levels of the proteins also differed between the multiple sclerosis clinical subtypes, which may be associated with the underlying disease process. Classification studies revealed that these proteins might be useful for identifying multiple sclerosis clinical subtypes. Conclusions: We showed that select biomarkers may have potential in identifying multiple sclerosis clinical subtypes. We also showed that the predictive value of the prognosis increased when using a combination of the proteins versus using them individually.

2020 ◽  
Vol 117 (23) ◽  
pp. 12952-12960 ◽  
Author(s):  
Jesse Huang ◽  
Mohsen Khademi ◽  
Lars Fugger ◽  
Örjan Lindhe ◽  
Lenka Novakova ◽  
...  

Effective biomarkers for multiple sclerosis diagnosis, assessment of prognosis, and treatment responses, in particular those measurable in blood, are largely lacking. We have investigated a broad set of protein biomarkers in cerebrospinal fluid (CSF) and plasma using a highly sensitive proteomic immunoassay. Cases from two independent cohorts were compared with healthy controls and patients with other neurological diseases. We identified and replicated 10 cerebrospinal fluid proteins including IL-12B, CD5, MIP-1a, and CXCL9 which had a combined diagnostic efficacy similar to immunoglobulin G (IgG) index and neurofilament light chain (area under the curve [AUC] = 0.95). Two plasma proteins, OSM and HGF, were also associated with multiple sclerosis in comparison to healthy controls. Sensitivity and specificity of combined CSF and plasma markers for multiple sclerosis were 85.7% and 73.5%, respectively. In the discovery cohort, eotaxin-1 (CCL11) was associated with disease duration particularly in patients who had secondary progressive disease (PCSF< 4 × 10−5,Pplasma< 4 × 10−5), and plasma CCL20 was associated with disease severity (P= 4 × 10−5), although both require further validation. Treatment with natalizumab and fingolimod showed different compartmental changes in protein levels of CSF and peripheral blood, respectively, including many disease-associated markers (e.g., IL12B, CD5) showing potential application for both diagnosing disease and monitoring treatment efficacy. We report a number of multiple sclerosis biomarkers in CSF and plasma for early disease detection and potential indicators for disease activity. Of particular importance is the set of markers discovered in blood, where validated biomarkers are lacking.


2019 ◽  
Vol 90 (9) ◽  
pp. 1059-1067 ◽  
Author(s):  
Sarah-Jane Martin ◽  
Sarah McGlasson ◽  
David Hunt ◽  
James Overell

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.


BMC Neurology ◽  
2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Maria Landqvist Waldö ◽  
Alexander Frizell Santillo ◽  
Ulla Passant ◽  
Henrik Zetterberg ◽  
Lars Rosengren ◽  
...  

2015 ◽  
Vol 21 (14) ◽  
pp. 1761-1770 ◽  
Author(s):  
S Modvig ◽  
M Degn ◽  
H Roed ◽  
TL Sørensen ◽  
HBW Larsson ◽  
...  

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.


2019 ◽  
Vol 266 (9) ◽  
pp. 2157-2163 ◽  
Author(s):  
Lorenzo Gaetani ◽  
Nicola Salvadori ◽  
Viviana Lisetti ◽  
Paolo Eusebi ◽  
Andrea Mancini ◽  
...  

Bioanalysis ◽  
2019 ◽  
Vol 11 (15) ◽  
pp. 1405-1418 ◽  
Author(s):  
Robert Hendricks ◽  
Dana Baker ◽  
Jochen Brumm ◽  
Teresa Davancaze ◽  
Chris Harp ◽  
...  

Background: Neurofilament light (NfL) chain is an established cerebrospinal fluid (CSF) biomarker for neuroaxonal injury. The highly sensitive Quanterix Simoa™ platform is evaluated for NfL measurement in both CSF and blood. There is a need to link historical ELISA data that use bovine NfL to that of Simoa using a recombinant human (rhuman) NfL standard. Results/Methodology: The Simoa NF-light® Advantage Kit was validated for CSF and qualified for serum and plasma, using both rhuman and bovine NfL calibrators. Matched CSF, serum and plasma samples from 112 multiple sclerosis patients were analyzed using both calibrators. Conclusion: In multiple sclerosis, there is a good correlation between blood and CSF NfL levels. A conversion factor of approximately 5:1 was established between bovine and rhuman NfL calibrators.


2014 ◽  
Vol 21 (4) ◽  
pp. 396-401 ◽  
Author(s):  
C Tortorella ◽  
V Direnzo ◽  
P Taurisano ◽  
R Romano ◽  
M Ruggieri ◽  
...  

Background: Identifying markers of cognitive dysfunction in multiple sclerosis (MS) is extremely challenging since it means supplying potential biomarkers for neuroprotective therapeutic strategies. Objective: The aim of this study is to investigate the relationship between fMRI correlates of attention performance and cerebrospinal fluid (CSF) neurofilament light chain (NFL) levels in patients with clinically isolated syndrome (CIS) suggestive of MS. Methods: Twenty-one untreated, cognitively preserved CIS patients underwent BOLD-fMRI while performing the Variable Attentional Control (VAC) task, a cognitive paradigm requiring increasing levels of attentional control processing. CSF NFL was assessed by ELISA technique. SPM8 random-effects models were used for statistical analyses of fMRI data ( p<0.05 corrected). Results: Repeated-measures ANOVA on imaging data showed an interaction between attentional control load and NFL levels in the right putamen. At the high level of attentional control demand CIS patients with “low NFL levels” showed greater activity in the putamen compared with subjects with “high NFL levels” ( p=0.001). These results are independent of cognitive impairment index. Conclusions: Our findings suggest a relationship between CSF NFL levels and load-dependent failure of putaminal recruitment pattern during sustained attention in CIS and suggest a role of CSF NFL as a marker of subclinical abnormality of cognitive pathway recruitment in CIS.


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