Evidence map›Paper›PMID 38108416›Full record

ArticleJournal of visualized experiments : JoVE2023

Quantification of Autoreactive Antibodies in Mice upon Experimental Autoimmune Encephalomyelitis.

Jonathan J Carver, Alessandro Didonna

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jonathan J CarverDepartment of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University.
Alessandro DidonnaDepartment of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University; didonnaal21@ecu.edu.
East Carolina University · US

Funding

Development of a conditional ataxin-1 knockout mouse lineR03NS131908 · NINDS · EAST CAROLINA UNIVERSITY · PI DIDONNA, ALESSANDRO · 2023 to 2024
$151k
NINDS NIH HHS R03 NS131908
6 · The paper itself

Abstract

Experimental autoimmune encephalomyelitis (EAE) is a disease model that recapitulates the autoimmune disorder multiple sclerosis (MS) at histopathological and molecular levels. EAE is induced by immunizing experimental animals via subcutaneous injection of short myelin peptides together with specific adjuvants to boost the immune response. Like the human counterpart, EAE mice develop demyelinating lesions, immune cell infiltration into the central nervous system (CNS), glia activation and neuronal injury. A consistent body of evidence also supports a mechanistic role for B cell dysfunction in the etiology of both MS and EAE. B cells can serve as antigen-presenting cells as well as a primary source of pro-inflammatory cytokines and autoantibodies. In EAE, antibodies are generated against the myelin peptides that were employed to induce the disease. Such autoantibodies have been shown to mediate either myelin loss or pathogenic T cell reactivation into the CNS. This article describes an efficient ELISA-based protocol to quantify autoantibodies in the serum of C57BL/6J mice immunized with the myelin oligodendrocyte glycoprotein 35-55 (MOG35-55) peptide. The proposed method serves as a powerful tool to investigate the specificity and magnitude of the aberrant humoral response in the context of autoimmune demyelination.

Indexed as

Encephalomyelitis, Autoimmune, ExperimentalMultiple SclerosisAnimalsAutoantibodiesCentral Nervous SystemCytokinesHumansMiceMice, Inbred C57BLAutoantibodiesCytokines

Identifiers

PMID38108416
PMCPMC12261340
OpenAlexW4389262480

What OpenQuestion holds

Textmetadata
LicenceTDM
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.