Profiling blood-based brain biomarkers and cytokines in experimental autoimmune encephalomyelitis model of multiple sclerosis using single-molecule array technology DOI Creative Commons
Insha Zahoor,

Mir Sajad,

Shailendra Giri

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 27, 2023

Abstract Experimental autoimmune encephalomyelitis (EAE) remains a widely used pre-clinical animal model to study multiple sclerosis (MS). Blood-based cytokines and CNS biomarkers are increasingly as predictors of neurodegeneration, disease activity, disability in MS. However, there exists variation characterization course across strains/studies due understudied confounding factors, limiting the utility these predict activity EAE. In this study, we investigated profile blood-based analytes including, (IL6, IL17, IL12p70, IL10, TNFα) neural markers (NFL GFAP) plasma relapsing-remitting (RR) (SJL) chronic (B6) models EAE during different phases (acute, chronic, progressive) using ultrasensitive single molecule array technology (SIMoA, Quanterix), which can detect ultra-low levels wide range analytes. NFL showed substantial increase post-disease onset at peak, progressive both RR SJL B6 The was markedly pronounced model. leakage GFAP from into periphery also higher after EAE, however, it highest acute phase B6. Out all cytokines, only IL10 consistently lower along duration. We report that NFL, GFAP, may be more useful neurological outcome would make them potential candidates for use surrogate preclinical testing therapeutic interventions

Language: Английский

Comparison of CSF and plasma NfL and pNfH for Alzheimer’s disease diagnosis: a memory clinic study DOI
Agathe Vrillon, Nicholas J. Ashton, Thomas K. Karikari

et al.

Journal of Neurology, Journal Year: 2023, Volume and Issue: 271(3), P. 1297 - 1310

Published: Nov. 11, 2023

Language: Английский

Citations

13
Profiling Blood-Based Neural Biomarkers and Cytokines in Experimental Autoimmune Encephalomyelitis Model of Multiple Sclerosis Using Single-Molecule Array Technology DOI Open Access
Insha Zahoor,

Mir Sajad,

Shailendra Giri

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(7), P. 3258 - 3258

Published: April 1, 2025

Experimental autoimmune encephalomyelitis (EAE) is a preclinical animal model widely used to study multiple sclerosis (MS). Blood-based analytes, including cytokines and neural biomarkers are the predictors of neurodegeneration, disease activity, disability in patients with MS. However, understudied confounding factors cause variation reports on EAE across strains/studies, limiting utility these for predicting activity. In this study, we investigated blood-based analyte profiles, markers (NFL GFAP) (IL-6, IL-17, IL-12p70, IL-10, TNF-α), two clinically distinct models: relapsing-remitting (RR)-EAE chronic-EAE. Ultrasensitive single-molecule array technology (SIMOA, Quanterix) was profile analytes blood plasma mice at acute, chronic, progressive phases disease. both models, NFL substantially increased during post-disease onset all phases, pronounced increase observed The leakage GFAP into peripheral also greater after especially acute phase Among cytokines, only IL-10 had consistently lower levels models throughout course This suggests NFL, GFAP, as potential translational activity EAE, making them candidates surrogate testing therapeutic interventions

Language: Английский

Citations

0
Establishing Normal Serum Values of Neurofilament Light Chains and Glial Fibrillary Acidic Protein Considering the Effects of Age and Other Demographic Factors in Healthy Adults DOI Open Access
Alexander Rodero-Romero, Enric Monreal,

Raquel Sainz-Amo

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(14), P. 7808 - 7808

Published: July 17, 2024

Multiple studies have shown the importance of blood-based biomarkers indicating axonal damage (serum neurofilament light chains [sNfL]) or astroglia activation glial fibrillary acidic protein [sGFAP]) for monitoring different neurological diseases. However, normal values these variables remain to be clearly defined, partly due influence demographic factors. We investigated differences in a cohort healthy volunteers. A cross-sectional study was conducted including 116 controls with ages between 18 and 69 years (67.5% females; n = 79). sNfL sGFAP concentrations were measured using single-molecule arrays. Age body mass index affected values, age found most important factor. The changed age, we established individuals younger than 45 as <10 pg/mL older <15 pg/mL. at individuals. Alternatively, Z-score 1.5 relevant all controls. only by age. Differences evident 55 years. highest normality limit 140 under 280 defined levels their corresponding age-associated changes. These data may contribute application such clinical practice.

Language: Английский

Citations

3
OVERVIEW OF MULTIPLE SCLEROSIS DOI Creative Commons

Alaa Ali Ahmad Al-Dawani,

Hussain Ali A Albakhite,

Ruoa Faisal Albunayyan

et al.

Journal of Population Therapeutics and Clinical Pharmacology, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Multiple sclerosis (MS) is a chronic inflammatory disease affecting the central nervous system (CNS), characterized by immune-mediated assaults on myelin sheath. This autoimmune disorder primarily impacts young individuals and can result in permanent axonal degeneration. The manifestations of MS vary, encompassing relapsing-remitting MS, primary-progressive secondary-progressive MS. etiology stems from an immune dysfunction, culminating obliteration healthy cells. Therapeutic approaches for are geared towards averting exacerbations protracted functional deterioration, with diverse FDA-endorsed drugs stratified according to their efficacy relapse mitigation. precise origin remains elusive; nonetheless, immunomodulated genetic predisposition environmental factors postulated exert considerable influence its onset.

Language: Английский

Citations

6
Neurofilament light chain: A potential biomarker for cerebrovascular disease in children with sickle cell anaemia DOI Open Access
Nancy Green, Caterina Rosano, Paul Bangirana

et al.

British Journal of Haematology, Journal Year: 2023, Volume and Issue: 203(3), P. 460 - 467

Published: Aug. 15, 2023

Cerebrovascular injury frequently occurs in children with sickle cell anaemia (SCA). Limited access to magnetic resonance imaging and angiography (MRI-MRA) sub-Saharan Africa impedes detection of clinically unapparent cerebrovascular injury. Blood-based brain biomarkers cerebral infarcts have been identified non-SCA adults. Using plasma samples from a well-characterized cross-sectional sample Ugandan SCA, we explored relationships between biomarker levels MRI-detected transcranial Doppler (TCD) arterial velocity. Testing was performed using 4-plex panel biomarkers, including neurofilament light chain (NfL), central nervous system neuron-specific protein. Mean the SCA group (n = 81) were similar those sibling controls 54). Within group, NfL significantly higher compared no infarcts, elevated TCD velocity versus normal Elevated remained strongly associated after adjusting for sex age. All participants lacking had low levels. These data suggest potential utility plasma-based identify Replication prospective studies are needed confirm these novel findings clinical MRI imaging.

Language: Английский

Citations

3
Comparison of SIMOA and VEUS technologies for serum neurofilament light chain measurement in multiple sclerosis DOI Creative Commons

Ondřej Pelíšek,

Pavlína Kušnierová, Pavel Hradílek

et al.

Multiple Sclerosis and Related Disorders, Journal Year: 2024, Volume and Issue: 90, P. 105815 - 105815

Published: Aug. 11, 2024

Language: Английский

Citations

0
Profiling blood-based brain biomarkers and cytokines in experimental autoimmune encephalomyelitis model of multiple sclerosis using single-molecule array technology DOI Creative Commons
Insha Zahoor,

Mir Sajad,

Shailendra Giri

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 27, 2023

Abstract Experimental autoimmune encephalomyelitis (EAE) remains a widely used pre-clinical animal model to study multiple sclerosis (MS). Blood-based cytokines and CNS biomarkers are increasingly as predictors of neurodegeneration, disease activity, disability in MS. However, there exists variation characterization course across strains/studies due understudied confounding factors, limiting the utility these predict activity EAE. In this study, we investigated profile blood-based analytes including, (IL6, IL17, IL12p70, IL10, TNFα) neural markers (NFL GFAP) plasma relapsing-remitting (RR) (SJL) chronic (B6) models EAE during different phases (acute, chronic, progressive) using ultrasensitive single molecule array technology (SIMoA, Quanterix), which can detect ultra-low levels wide range analytes. NFL showed substantial increase post-disease onset at peak, progressive both RR SJL B6 The was markedly pronounced model. leakage GFAP from into periphery also higher after EAE, however, it highest acute phase B6. Out all cytokines, only IL10 consistently lower along duration. We report that NFL, GFAP, may be more useful neurological outcome would make them potential candidates for use surrogate preclinical testing therapeutic interventions

Language: Английский

Citations

1