Plasma protein profiling of multiple sclerosis using proximity extension assays.
Huang, J.; Khademi, M.; Piehl, F.; Olsson, T.; Kockum, I.
Show abstract
BackgroundMultiple sclerosis (MS) is an inflammatory disease characterized by demyelination and neuro-axonal degeneration in the central nervous system. Except for neurofilament light protein, identification of biomarkers has been difficult to assess in the blood, presumably due partly to sensitivity. To detect traces of disease activities in the periphery and identify low-abundance protein biomarkers, this study conducts an exploratory examination of the plasma proteome of MS using proximity extension technology, a high-sensitivity multiplex PCR-based immunoassay. MethodsA case-control cohort consisting of 52 MS cases (relapsing-remitting=30, progressive=22) and 17 healthy controls were enrolled at the Karolinska University Hospital. EDTA plasma was analyzed for 1157 unique protein targets across thirteen proximity extension assays. Protein associations to disease outcomes and related clinical measures were assessed using a multivariable linear regression model corrected for sex and age at sampling. ResultsAHCY and CHR levels were higher among MS cases than controls, while FABP2 was lower among those with relapsing-remitting disease than controls (Pdiscovery<0.05, Preplication<0.05), although not significant after multiple test corrections. Furthermore, PTN and CYR61 levels were higher in progressive MS than in relapsing-remitting disease (P<0.0002, PFDR<0.05), and CRNN and CXCL13 were associated with more severe disability at sampling (P<0.0001, PFDR<0.05), independent of disease course. CTSF was positively correlated with disease duration (P=4.1x10-5, PFDR=0.044), while RRM2B level correlated with intrathecal immunoglobulin production (IgG Index) in relapsing-remitting MS (P=1.7x10-5, PFDR=0.018). ConclusionWe provide several candidates for characterizing MS, particularly progressive disease, which may help monitor disease progression and treatment response in a clinical setting.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Paramagnetic rim lesions are associated with pathogenic CSF profiles and worse clinical outcomes in multiple sclerosis: a retrospective cross-sectional study 96%
- Tissue damage detected by quantitative gradient echo MRI correlates with clinical progression in non-relapsing progressive MS 96%
- The relationship between ethnicity and Multiple Sclerosis characteristics in the United Kingdom: a UK MS Register study 95%
Similar papers in this journal
- Persons with multiple sclerosis reveal distinct kynurenine pathway metabolite patterns: a multinational cross-sectional study 96%
- CSF of SARS-CoV-2 patients with neurological syndromes reveals hints to understand pathophysiology 96%
- Dynamics of spinal fluid immune cell alterations following cladribine tablet treatment in multiple sclerosis 95%
Similar papers in this journal
Similar papers in this journal
- Genetic subtypes predict multiple sclerosis severity and response to treatment 96%
- SARS-CoV-2 mRNA vaccination fails to elicit humoral and cellular immune responses in multiple sclerosis patients receiving fingolimod 93%
- Neuroinflammation predicts disease progression in progressive supranuclear palsy 91%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.