Back

Plasma protein profiling of multiple sclerosis using proximity extension assays.

Huang, J.; Khademi, M.; Piehl, F.; Olsson, T.; Kockum, I.

2022-07-30 neurology
10.1101/2022.07.29.22278211 medRxiv
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 5 journals account for 50% of the predicted probability mass.

1
Multiple Sclerosis Journal
18 papers in training set
Top 0.1%
14.9%
2
Frontiers in Neurology
91 papers in training set
Top 0.3%
14.9%
3
Multiple Sclerosis and Related Disorders
15 papers in training set
Top 0.1%
9.3%
4
Neurology Neuroimmunology & Neuroinflammation
11 papers in training set
Top 0.1%
6.4%
5
Annals of Clinical and Translational Neurology
29 papers in training set
Top 0.1%
6.4%
50% of probability mass above
6
Clinical Immunology
21 papers in training set
Top 0.1%
3.6%
7
Journal of Neurology, Neurosurgery & Psychiatry
29 papers in training set
Top 0.3%
3.3%
8
Annals of Neurology
57 papers in training set
Top 0.6%
3.1%
9
Journal of Neurology
26 papers in training set
Top 0.3%
2.9%
10
Neurobiology of Disease
134 papers in training set
Top 2%
2.8%
11
Neuropathology and Applied Neurobiology
14 papers in training set
Top 0.2%
2.1%
12
Journal of Advanced Research
15 papers in training set
Top 0.1%
2.1%
13
Brain, Behavior, & Immunity - Health
27 papers in training set
Top 0.2%
1.7%
14
Frontiers in Immunology
586 papers in training set
Top 4%
1.7%
15
Neurology
44 papers in training set
Top 0.9%
1.5%
16
Scientific Reports
3102 papers in training set
Top 62%
1.5%
17
EBioMedicine
39 papers in training set
Top 0.6%
1.1%
18
Journal of the Neurological Sciences
17 papers in training set
Top 0.5%
1.0%
19
Brain
154 papers in training set
Top 4%
0.9%
20
JCI Insight
241 papers in training set
Top 6%
0.9%
21
PLOS ONE
4510 papers in training set
Top 64%
0.9%
22
Journal of Neuroinflammation
50 papers in training set
Top 0.7%
0.9%
23
European Journal of Neurology
20 papers in training set
Top 0.5%
0.8%
24
Clinical Chemistry and Laboratory Medicine (CCLM)
12 papers in training set
Top 0.2%
0.8%
25
Clinical Chemistry
22 papers in training set
Top 0.8%
0.8%
26
eBioMedicine
130 papers in training set
Top 4%
0.8%
27
International Journal of Molecular Sciences
453 papers in training set
Top 16%
0.7%
28
Journal of Neurochemistry
50 papers in training set
Top 0.9%
0.5%
29
Clinical and Experimental Immunology
12 papers in training set
Top 0.1%
0.5%
30
BMC Medicine
163 papers in training set
Top 9%
0.5%