Evidence map›Paper›PMID 36830985›Full record

ArticleBiomedicines2023

Immunological and Structural Characterization of Titin Main Immunogenic Region; I110 Domain Is the Target of Titin Antibodies in Myasthenia Gravis.

Christos Stergiou, Rhys Williams, Jennifer R Fleming, Vasiliki Zouvelou, Elpinickie Ninou, Francesca Andreetta, Elena Rinaldi, Ornella Simoncini, Renato Mantegazza, Julius Bogomolovas and 4 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular insights into titin's A-band.Journal of muscle research and cell motility · 2023
    Article
  4. 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

14 authors at 7 institutions in 4 countries.

Christos StergiouTzartos NeuroDiagnostics, 115 23 Athens, Greece.
Rhys WilliamsDepartment of Biology, University of Konstanz, 78457 Konstanz, Germany.
Jennifer R FlemingDepartment of Biology, University of Konstanz, 78457 Konstanz, Germany.ORCID 0000-0003-4016-8740
Vasiliki Zouvelou1st Neurology Department, Eginition Hospital, National and Kapodistrian University of Athens, 157 72 Athens, Greece.
Elpinickie NinouTzartos NeuroDiagnostics, 115 23 Athens, Greece.ORCID 0000-0001-5850-8630
Francesca AndreettaFondazione I.R.C.C.S., Istituto Neurologico Carlo Besta, 20133 Milano, Italy.ORCID 0000-0001-8239-8830
Elena RinaldiFondazione I.R.C.C.S., Istituto Neurologico Carlo Besta, 20133 Milano, Italy.ORCID 0000-0003-0744-7238
Ornella SimonciniFondazione I.R.C.C.S., Istituto Neurologico Carlo Besta, 20133 Milano, Italy.ORCID 0000-0003-0083-6847
Renato MantegazzaFondazione I.R.C.C.S., Istituto Neurologico Carlo Besta, 20133 Milano, Italy.ORCID 0000-0002-9810-5737
Julius BogomolovasSchool of Medicine, University of California, La Jolla, San Diego, CA 92093, USA.ORCID 0000-0001-8344-1909
John TzartosSchool of Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
Siegfried LabeitDZHK Partner Site Mannheim-Heidelberg, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany.ORCID 0000-0002-9009-210X
Olga MayansDepartment of Biology, University of Konstanz, 78457 Konstanz, Germany.ORCID 0000-0001-6876-8532
Socrates TzartosTzartos NeuroDiagnostics, 115 23 Athens, Greece.
Fondazione IRCCS Istituto Neurologico Carlo Besta · ITUniversity of Konstanz · DENational and Kapodistrian University of Athens · GRStavros Niarchos Foundation · GRHeidelberg University · DEUniversity of California San Diego · USUniversity of Patras · GR

Funding

EU-RISE-H2020 - Marie Skłodowska-Curie 645648
6 · The paper itself

Abstract

Myasthenia gravis (MG) is an autoimmune disease caused by antibodies targeting the neuromuscular junction (NJ) of skeletal muscles. The major MG autoantigen is nicotinic acetylcholine receptor. Other autoantigens at the NJ include MuSK, LRP4 and agrin. Autoantibodies to the intra-sarcomeric striated muscle-specific gigantic protein titin, although not directed to the NJ, are invaluable biomarkers for thymoma and MG disease severity. Thymus and thymoma are critical in MG mechanisms and management. Titin autoantibodies bind to a 30 KDa titin segment, the main immunogenic region (MIR), consisting of an Ig-FnIII-FnIII 3-domain tandem, termed I109-I111. In this work, we further resolved the localization of titin epitope(s) to facilitate the development of more specific anti-titin diagnostics. For this, we expressed protein samples corresponding to 8 MIR and non-MIR titin fragments and tested 77 anti-titin sera for antibody binding using ELISA, competition experiments and Western blots. All anti-MIR antibodies were bound exclusively to the central MIR domain, I110, and to its containing titin segments. Most antibodies were bound also to SDS-denatured I110 on Western blots, suggesting that their epitope(s) are non-conformational. No significant difference was observed between thymoma and non-thymoma patients or between early- and late-onset MG. In addition, atomic 3D-structures of the MIR and its subcomponents were elucidated using X-ray crystallography. These immunological and structural data will allow further studies into the atomic determinants underlying titin-based autoimmunity, improved diagnostics and how to eventually treat titin autoimmunity associated co-morbidities.

Indexed as

epitope mappingmain immunogenic regionmyasthenia gravisthymomatitintitin atomic structure

Identifiers

PMID36830985
PMCPMC9952892
OpenAlexW4319298056

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.