Evidence map›Paper›PMID 31588250›Full record

ArticleJournal of circulating biomarkers

Plasma vitronectin is reduced in patients with myasthenia gravis: Diagnostic and pathophysiological potential.

Antonio Junior Lepedda, Giovanni Andrea Deiana, Omar Lobina, Gabriele Nieddu, Paola Baldinu, Pierina De Muro, Francesca Andreetta, Elia Sechi, Giannina Arru, Davide Giacomo Corda and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of circulating biomarkers. 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
0.6field-weighted citation impact, top 30% 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, 6 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

12 authors at 2 institutions in 1 country.

Antonio Junior LepeddaDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.ORCID https://orcid.org/0000-0002-8356-894X
Giovanni Andrea DeianaDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.
Omar LobinaDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.
Gabriele NiedduDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.
Paola BaldinuDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.
Pierina De MuroDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.
Francesca AndreettaDiagnostic Laboratory of Neuroimmunolgy, U.O. Neurologia IV, I.R.C.C.S. Fondazione Istituto Neurologico "C. Besta", Milano, Italy.
Elia SechiDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.
Giannina ArruDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.
Davide Giacomo CordaDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.
Gian Pietro SechiDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.
Marilena FormatoDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro, Sassari, Italy.
University of Sassari · ITFondazione IRCCS Istituto Neurologico Carlo Besta · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myasthenia gravis (MG) is an autoimmune disease leading to varying degrees of skeletal muscle weakness. It is caused by specific antibodies directed against definite components in the postsynaptic membrane at the neuromuscular junction (NMJ), such as the acetylcholine receptor (AChR) and the muscle-specific kinase (MUSK) receptor. In clinical practice, MG patients may be classified into three main subgroups based on the occurrence of serum autoantibodies directed against AChR or MUSK receptor or antibody-negative. As the MG subgroups differ in terms of clinical characteristics, disease pathogenesis, prognosis, and response to therapies, they could benefit from targeted treatment as well as the detection of other possible disease biomarkers. We performed proteomics on plasma fractions enriched in low-abundance proteins to identify potential biomarkers according to different autoimmune responses. By this approach, we evidenced a significant reduction of vitronectin in MG patients compared to healthy controls, irrespective of the autoantibodies NMJ target. The obtained results were validated by mono- and two-dimensional Western blotting analysis. Vitronectin is a multifunctional glycoprotein involved in the regulation of several pathophysiological processes, including complement-dependent immune response, coagulation, fibrinolysis, pericellular proteolysis, cell attachment, and spreading. The pathophysiological significance of the reduction of plasma vitronectin in MG patients has yet to be fully elucidated. It could be related either to a possible deposition of vitronectin at NMJ to counteract the complement-mediated muscle damage at this level or to a parallel variation of this glycoprotein in the muscle extracellular matrix with secondary induced alteration in clustering of AChRs at NMJ, as it occurs with variation in concentrations of agrin, another extracellular matrix component. The clinical value of measuring plasma vitronectin has yet to be defined. According to present findings, significantly lower plasma values of this glycoprotein might be indicative of an impaired complement-dependent immune response.

Indexed as

autoimmunitybiomarkersMyasthenia gravisproteomicsvitronectin

Identifiers

PMID31588250
PMCPMC6740073
OpenAlexW2972429343

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.