scholarly journals Identification of cerebrospinal fluid biomarkers for parkinsonism using a proteomics approach

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Tainá M. Marques ◽  
Anouke van Rumund ◽  
Iris Kersten ◽  
Ilona B. Bruinsma ◽  
Hans J.C.T. Wessels ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Current Knowledge ◽  
Shotgun Proteomics ◽  
Selected Reaction Monitoring ◽  
Csf Biomarkers ◽  
Forest Modelling ◽  
Neurofilament Light Chain ◽  
Tryptic Peptides ◽  
Neurofilament Light ◽  
Peptide Profiles

AbstractThe aim of our study was to investigate cerebrospinal fluid (CSF) tryptic peptide profiles as potential diagnostic biomarkers for the discrimination of parkinsonian disorders. CSF samples were collected from individuals with parkinsonism, who had an uncertain diagnosis at the time of inclusion and who were followed for up to 12 years in a longitudinal study. We performed shotgun proteomics to identify tryptic peptides in CSF of Parkinson’s disease (PD, n = 10), multiple system atrophy patients (MSA, n = 5) and non-neurological controls (n = 10). We validated tryptic peptides with differential levels between PD and MSA using a newly developed selected reaction monitoring (SRM) assay in CSF of PD (n = 46), atypical parkinsonism patients (AP; MSA, n = 17; Progressive supranuclear palsy; n = 8) and non-neurological controls (n = 39). We identified 191 tryptic peptides that differed significantly between PD and MSA, of which 34 met our criteria for SRM development. For 14/34 peptides we confirmed differences between PD and AP. These tryptic peptides discriminated PD from AP with moderate-to-high accuracy. Random forest modelling including tryptic peptides plus either clinical assessments or other CSF parameters (neurofilament light chain, phosphorylated tau protein) and age improved the discrimination of PD vs. AP. Our results show that the discovery of tryptic peptides by untargeted and subsequent validation by targeted proteomics is a suitable strategy to identify potential CSF biomarkers for PD versus AP. Furthermore, the tryptic peptides, and corresponding proteins, that we identified as differential biomarkers may increase our current knowledge about the disease-specific pathophysiological mechanisms of parkinsonism.

scholarly journals Inflammation-related plasma and CSF biomarkers for multiple sclerosis

2020 ◽  
Vol 117 (23) ◽  
pp. 12952-12960 ◽  
Author(s):  
Jesse Huang ◽  
Mohsen Khademi ◽  
Lars Fugger ◽  
Örjan Lindhe ◽  
Lenka Novakova ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cerebrospinal Fluid ◽  
Neurological Diseases ◽  
Area Under The Curve ◽  
Csf Biomarkers ◽  
Healthy Controls ◽  
Protein Biomarkers ◽  
Neurofilament Light Chain ◽  
Diagnostic Efficacy ◽  
Neurofilament Light

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.

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 A panel of nine cerebrospinal fluid biomarkers may identify patients with atypical parkinsonian syndromes

2015 ◽  
Vol 86 (11) ◽  
pp. 1240-1247 ◽  
Author(s):  
N K Magdalinou ◽  
R W Paterson ◽  
J M Schott ◽  
N C Fox ◽  
C Mummery ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Amyloid Precursor Protein ◽  
Area Under The Curve ◽  
Precursor Protein ◽  
Csf Biomarkers ◽  
Neurofilament Light Chain ◽  
Neurofilament Light ◽  
Monocyte Chemoattractant Protein 1 ◽  
Parkinsonian Syndromes ◽  
Healthy Elderly

BackgroundPatients presenting with parkinsonian syndromes share many clinical features, which can make diagnosis difficult. This is important as atypical parkinsonian syndromes (APSs) such as progressive supranuclear palsy (PSP), multiple system atrophy (MSA) and corticobasal syndrome (CBS) carry a poor prognosis, compared with patients with Parkinson's disease (PD). In addition, there is overlap between APS and dementia diseases, such as Alzheimer's disease (AD) and frontotemporal dementia (FTD).ObjectiveTo use a panel of cerebrospinal fluid (CSF) biomarkers to differentiate patients with APS from PD and dementia.MethodsA prospective cohort of 160 patients and 30 control participants were recruited from a single specialist centre. Patients were clinically diagnosed according to current consensus criteria. CSF samples were obtained from patients with clinical diagnoses of PD (n=31), PSP (n=33), CBS (n=14), MSA (n=31), AD (n=26) and FTD (n=16). Healthy, elderly participants (n=30) were included as controls. Total τ (t-τ), phosphorylated τ (p-τ), β-amyloid 1–42 (Aβ42), neurofilament light chain (NFL), α-synuclein (α-syn), amyloid precursor protein soluble metabolites α and β (soluble amyloid precursor protein (sAPP)α, sAPPβ) and two neuroinflammatory markers (monocyte chemoattractant protein-1 and YKL-40) were measured in CSF. A reverse stepwise regression analysis and the false discovery rate procedure were used.ResultsCSF NFL (p<0.001), sAPPα (p<0.001) and a-syn (p=0.003) independently predicted diagnosis of PD versus APS. Together, these nine biomarkers could differentiate patients with PD from APS with an area under the curve of 0.95 and subtypes of APS from one another. There was good discriminatory power between parkinsonian groups, dementia disorders and healthy controls.ConclusionsA panel of nine CSF biomarkers was able to differentiate APS from patients with PD and dementia. This may have important clinical utility in improving diagnostic accuracy, allowing better prognostication and earlier access to potential disease-modifying therapies.

Comparison between plasma and cerebrospinal fluid biomarkers for the early diagnosis and association with survival in prion disease

2020 ◽  
Vol 91 (11) ◽  
pp. 1181-1188 ◽  
Author(s):  
Samir Abu-Rumeileh ◽  
Simone Baiardi ◽  
Anna Ladogana ◽  
Corrado Zenesini ◽  
Anna Bartoletti-Stella ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Diagnostic Accuracy ◽  
Prion Disease ◽  
Single Molecule ◽  
Clinical Care ◽  
Csf Biomarkers ◽  
Neurofilament Light Chain ◽  
Neurofilament Light ◽  
Lower Accuracy ◽  
T Tau

ObjectiveTo compare the diagnostic accuracy and the prognostic value of blood and cerebrospinal fluid (CSF) tests across prion disease subtypes.MethodsWe used a single-molecule immunoassay to measure tau and neurofilament light chain (NfL) protein levels in the plasma and assessed CSF total(t)-tau, NfL and protein 14-3-3 levels in patients with prion disease (n=336), non-prion rapidly progressive dementias (n=106) and non-neurodegenerative controls (n=37). We then evaluated each plasma and CSF marker for diagnosis and their association with survival, taking into account the disease subtype, which is a strong independent prognostic factor in prion disease.ResultsPlasma tau and NfL concentrations were higher in patients with prion disease than in non-neurodegenerative controls and non-prion rapidly progressive dementias. Plasma tau showed higher diagnostic value than plasma NfL, but a lower accuracy than the CSF proteins t-tau and 14-3-3. In the whole prion cohort, both plasma (tau and NfL) and CSF (t-tau, 14-3-3 and NfL) markers were significantly associated with survival and showed similar prognostic values. However, the intrasubtype analysis revealed that only CSF t-tau in sporadic Creutzfeldt-Jakob disease (sCJD) MM(V)1, plasma tau and CSF t-tau in sCJD VV2, and plasma NfL in slowly progressive prion diseases were significantly associated with survival after accounting for covariates.ConclusionsPlasma markers have lower diagnostic accuracy than CSF biomarkers. Plasma tau and NfL and CSF t-tau are significantly associated with survival in prion disease in a subtype-specific manner and can be used to improve clinical trial stratification and clinical care.

Cerebrospinal fluid neurofilament light chain levels predict visual outcome after optic neuritis

2015 ◽  
Vol 22 (5) ◽  
pp. 590-598 ◽  
Author(s):  
S Modvig ◽  
M Degn ◽  
B Sander ◽  
H Horwitz ◽  
B Wanscher ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Optic Neuritis ◽  
Light Chain ◽  
Visual Outcome ◽  
Enzyme Linked Immunosorbent Assay ◽  
Csf Biomarkers ◽  
Inner Plexiform Layer ◽  
Neurofilament Light Chain ◽  
Neurofilament Light

Background: Optic neuritis is a good model for multiple sclerosis relapse, but currently no tests can accurately predict visual outcome. Objective: The purpose of this study was to examine whether cerebrospinal fluid (CSF) biomarkers of tissue damage and remodelling (neurofilament light chain (NF-L), myelin basic protein, osteopontin and chitinase-3-like-1) predict visual outcome after optic neuritis. Methods: We included 47 patients with optic neuritis as a first demyelinating episode. Patients underwent visual tests, optical coherence tomography (OCT), magnetic resonance imaging (MRI) and lumbar puncture. Biomarkers were measured in CSF by enzyme-linked immunosorbent assay (ELISA). Patients were followed up six months after onset and this included visual tests and OCT. Outcome measures were inter-ocular differences in low contrast visual acuity (LCVA), retinal nerve fibre layer (RNFL) and ganglion cell layer+inner plexiform layer (GC-IPL) thicknesses. Results: CSF NF-L levels at onset predicted inter-ocular differences in follow-up LCVA (β=13.8, p=0.0008), RNFL (β=5.6, p=0.0004) and GC-IPL (β=4.0, p=0.0008). The acute-phase GC-IPL thickness also predicted follow-up LCVA (β=12.9, p=0.0021 for NF-L, β=−1.1, p=0.0150 for GC-IPL). Complete/incomplete remission was determined based on LCVA from 30 healthy controls. NF-L had a positive predictive value of 91% and an area under the curve (AUC) of 0.79 for incomplete remission. Conclusion: CSF NF-L is a promising biomarker of visual outcome after optic neuritis. This could aid neuroprotective/regenerative medical advancements.

scholarly journals Cerebrospinal Fluid and Blood Neurofilament Light Chain Protein in Prion Disease and Other Rapidly Progressive Dementias: Current State of the Art

2021 ◽  
Vol 15 ◽  
Author(s):  
Samir Abu-Rumeileh ◽  
Piero Parchi
Keyword(s):  
Cerebrospinal Fluid ◽  
Cerebrovascular Disease ◽  
Disease Progression ◽  
Light Chain ◽  
Current Knowledge ◽  
Autoimmune Encephalitis ◽  
Progressive Dementia ◽  
Neurofilament Light Chain ◽  
Neurofilament Light ◽  
Short Disease Duration

Rapidly progressive dementia (RPD) is an umbrella term referring to several conditions causing a rapid neurological deterioration associated with cognitive decline and short disease duration. They comprise Creutzfeldt–Jakob disease (CJD), the archetypal RPD, rapidly progressive variants of the most common neurodegenerative dementias (NDs), and potentially treatable conditions such as infectious or autoimmune encephalitis and cerebrovascular disease. Given the significant clinical and, sometimes, neuroradiological overlap between these different disorders, biofluid markers also contribute significantly to the differential diagnosis. Among them, the neurofilament light chain protein (NfL) has attracted growing attention in recent years as a biofluid marker of neurodegeneration due to its sensitivity to axonal damage and the reliability of its measurement in both cerebrospinal fluid (CSF) and blood. Here, we summarize current knowledge regarding biological and clinical implications of NfL evaluation in biofluids across RPDs, emphasizing CJD, and other prion diseases. In the latter, NfL demonstrated a good diagnostic and prognostic accuracy and a potential value as a marker of proximity to clinical onset in pre-symptomatic PRNP mutation carriers. Similarly, in Alzheimer’s disease and other NDs, higher NfL concentrations seem to predict a faster disease progression. While increasing evidence indicates a potential clinical value of NfL in monitoring cerebrovascular disease, the association between NfL and prediction of outcome and/or disease activity in autoimmune encephalitis and infectious diseases has only been investigated in few cohorts and deserves confirmatory studies. In the era of precision medicine and evolving therapeutic options, CSF and blood NfL might aid the diagnostic and prognostic assessment of RPDs and the stratification and management of patients according to disease progression in clinical trials.

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 Unraveling Pathophysiological Mechanisms of Parkinson’s Disease: Contribution of CSF Biomarkers

2020 ◽  
Vol 15 ◽  
pp. 117727192096407
Author(s):  
Lucia Farotti ◽  
Federico Paolini Paoletti ◽  
Simone Simoni ◽  
Lucilla Parnetti
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Clinical History ◽  
Substantial Contribution ◽  
Csf Biomarkers ◽  
Neurofilament Light Chain ◽  
Neurofilament Light ◽  
Disease Modifying Drugs ◽  
Precise Diagnosis ◽  
And Oxidative Stress

Diagnosis of Parkinson’s disease (PD) relies on clinical history and physical examination, but misdiagnosis is common in early stages. Identification of biomarkers for PD may allow for early and more precise diagnosis and provide information about prognosis. Developments in analytical chemistry allow for the detection of a large number of molecules in cerebrospinal fluid (CSF), which are known to be associated with the pathogenesis of PD. Given the pathophysiology of PD, CSF α-synuclein species have the strongest rationale for use, also providing encouraging preliminary results in terms of early diagnosis. In the field of classical Alzheimer’s disease (AD) biomarkers, low CSF Aβ42 levels have shown a robust prognostic value in terms of development of cognitive impairment. Other CSF biomarkers including lysosomal enzymes, neurofilament light chain, markers of neuroinflammation and oxidative stress, although promising, have not proved to be reliable for diagnostic and prognostic purposes yet. Overall, the implementation of CSF biomarkers may give a substantial contribution to the optimal use of disease-modifying drugs.

scholarly journals ATN incorporating cerebrospinal fluid neurofilament light chain detects frontotemporal lobar degeneration

2020 ◽  
Author(s):  
Katheryn A.Q. Cousins ◽  
Jeffrey S. Phillips ◽  
David J. Irwin ◽  
Edward B. Lee ◽  
David A. Wolk ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Light Chain ◽  
Frontotemporal Lobar Degeneration ◽  
Neurofilament Light Chain ◽  
Neurofilament Light

scholarly journals Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease: Current Evidence and Future Perspectives

2021 ◽  
Vol 11 (2) ◽  
pp. 215
Author(s):  
Donovan A. McGrowder ◽  
Fabian Miller ◽  
Kurt Vaz ◽  
Chukwuemeka Nwokocha ◽  
Cameil Wilson-Clarke ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Late Onset ◽  
Amyloid Β ◽  
Current Evidence ◽  
Csf Biomarkers ◽  
Diagnostic Efficacy ◽  
Neurofilament Light ◽  
New Biomarkers

Alzheimer’s disease is a progressive, clinically heterogeneous, and particularly complex neurodegenerative disease characterized by a decline in cognition. Over the last two decades, there has been significant growth in the investigation of cerebrospinal fluid (CSF) biomarkers for Alzheimer’s disease. This review presents current evidence from many clinical neurochemical studies, with findings that attest to the efficacy of existing core CSF biomarkers such as total tau, phosphorylated tau, and amyloid-β (Aβ42), which diagnose Alzheimer’s disease in the early and dementia stages of the disorder. The heterogeneity of the pathophysiology of the late-onset disease warrants the growth of the Alzheimer’s disease CSF biomarker toolbox; more biomarkers showing other aspects of the disease mechanism are needed. This review focuses on new biomarkers that track Alzheimer’s disease pathology, such as those that assess neuronal injury (VILIP-1 and neurofilament light), neuroinflammation (sTREM2, YKL-40, osteopontin, GFAP, progranulin, and MCP-1), synaptic dysfunction (SNAP-25 and GAP-43), vascular dysregulation (hFABP), as well as CSF α-synuclein levels and TDP-43 pathology. Some of these biomarkers are promising candidates as they are specific and predict future rates of cognitive decline. Findings from the combinations of subclasses of new Alzheimer’s disease biomarkers that improve their diagnostic efficacy in detecting associated pathological changes are also presented.

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