Evidence map›Paper›PMID 38077014›Full record

ArticleResearch square2023

The relationship between serum astroglial and neuronal markers and AQP4 and MOG autoantibodies.

Miyo K Chatanaka, Lisa M Avery, Maria D Pasic, Shanthan Sithravadivel, Dalia Rotstein, Catherine Demos, Rachel Cohen, Taron Gorham, Mingyue Wang, Martin Stengelin and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 2 countries.

Miyo K ChatanakaUniversity of Toronto.
Lisa M AveryUniversity of Toronto.
Maria D PasicUniversity of Toronto.
Shanthan SithravadivelUnity Health Toronto.
Dalia RotsteinUnity Health Toronto.
Catherine DemosMeso Scale Discovery (United States).
Rachel CohenMeso Scale Discovery (United States).
Taron GorhamMeso Scale Discovery (United States).
Mingyue WangMeso Scale Discovery (United States).
Martin StengelinMeso Scale Discovery (United States).
Anu MathewMeso Scale Discovery (United States).
Jacob WohlstadterMeso Scale Discovery (United States).
Ioannis PrassasUniversity Health Network.
Eleftherios P DiamandisMount Sinai Hospital.
Meso Scale Discovery (United States) · USUniversity of Toronto · CAUnity Health TorontoUniversity Health Network · CA

Funding

Elucidating factors affecting blood levels of tau and GFAP in adults at risk for neurodegenerationU01NS114144 · NINDS · MESO SCALE DIAGNOSTICS, LLC · PI STENGELIN, MARTIN · 2020 to 2024
$3.3M
NINDS NIH HHS U01 NS114144
6 · The paper itself

Abstract

Background: Certain demyelinating disorders, such as neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) exhibit serum autoantibodies against aquaporin-4 (αAQP4) and myelin oligodendrocyte glycoprotein (αMOG). The variability of the autoantibody presentation warrants further research into subtyping each case. Methods: To elucidate the relationship between astroglial and neuronal protein concentrations in the peripheral circulation with occurrence of these autoantibodies, 86 serum samples were analyzed using immunoassays. The protein concentration of glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL) and tau protein was measured in 3 groups of subcategories of suspected NMOSD: αAQP4 positive (n = 20), αMOG positive (n = 32) and αMOG/αAQP4 seronegative (n = 34). Kruskal-Wallis analysis, univariate predictor analysis, and multivariate logistic regression with ROC curves were performed. Results: GFAP and NFL concentrations were significantly elevated in the αAQP4 positive group (p = 0.003; p = 0.042, respectively), and tau was elevated in the αMOG/αAQP4 seronegative group (p < 0.001). A logistic regression model to classify serostatus was able to separate αAQP4 seropositivity using GFAP + tau, and αMOG seropositivity using tau. The areas under the ROC curves (AUCs) were 0.77 and 0.72, respectively. Finally, a combined seropositivity versus negative status logistic regression model was generated, with AUC = 0.80. Conclusion: The 3 markers can univariately and multivariately classify with moderate accuracy the samples with seropositivity and seronegativity for αAQP4 and αMOG.

Indexed as

Aquaporin 4autoantibodyautoimmunityglial fibrillary acidic proteinMyelin oligodendrocyte glycoproteinneurofilament-lighttau

Identifiers

PMID38077014
PMCPMC10705596
OpenAlexW4389132761

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.