Evidence map›Paper›PMID 35755969›Full record

ArticleTherapeutic advances in neurological disorders2022

CSF TNF and osteopontin levels correlate with the response to dimethyl fumarate in early multiple sclerosis.

Damiano Marastoni, Anna I Pisani, Gianmarco Schiavi, Valentina Mazziotti, Marco Castellaro, Agnese Tamanti, Francesca Bosello, Francesco Crescenzo, Giuseppe K Ricciardi, Stefania Montemezzi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in neurological disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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 1 institution in 1 country.

Damiano MarastoniNeurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0003-0358-9431
Anna I PisaniNeurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Gianmarco SchiaviNeurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Valentina MazziottiNeurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Marco CastellaroNeurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Agnese TamantiNeurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Francesca BoselloDepartment of Neurosciences, Biomedicine and Movement Sciences, Eye Clinic, Ocular Immunology and Neuroophthalmology Service, AOUI-University of Verona, Verona, Italy.
Francesco CrescenzoNeurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Giuseppe K RicciardiNeuroradiology & Radiology Units, Integrated University Hospital of Verona, Verona, Italy.
Stefania MontemezziNeuroradiology & Radiology Units, Integrated University Hospital of Verona, Verona, Italy.
Francesca B PizziniRadiology, Department of Diagnostic and Public Health, Integrated University Hospital of Verona, Verona, Italy.
Massimiliano CalabreseNeurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico 'G.B. Rossi' Borgo Roma, Piazzale L. A. Scuro, 10, 37134 Verona, Italy.
University of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Disease activity in the first years after a diagnosis of relapsing-remitting multiple sclerosis (RRMS) is a negative prognostic factor for long-term disability. Markers of both clinical and radiological responses to disease-modifying therapies (DMTs) are advocated. Objective: The objective of this study is to estimate the value of cerebrospinal fluid (CSF) inflammatory markers at the time of diagnosis in predicting the disease activity in treatment-naïve multiple sclerosis (MS) patients exposed to dimethyl fumarate (DMF). Methods: In total, 48 RRMS patients (31 females/17 males) treated with DMF after the diagnosis were included in this 2-year longitudinal study. All patients underwent a CSF examination, regular clinical and 3T magnetic resonance imaging (MRI) scans that included the assessment of white matter (WM) lesions, cortical lesions (CLs) and global cortical thickness. CSF levels of 10 pro-inflammatory markers - CXCL13 [chemokine (C-X-C motif) ligand 13 or B lymphocyte chemoattractant], CXCL12 (stromal cell-derived factor or C-X-C motif chemokine 12), tumour necrosis factor (TNF), APRIL (a proliferation-inducing ligand, or tumour necrosis factor ligand superfamily member 13), LIGHT (tumour necrosis factor ligand superfamily member 14 or tumour necrosis factor superfamily member 14), interferon (IFN) gamma, interleukin 12 (IL-12), osteopontin, sCD163 [soluble-CD163 (cluster of differentiation 163)] and Chitinase3-like1 - were assessed using immune-assay multiplex techniques. The combined three-domain status of 'no evidence of disease activity' (NEDA-3) was defined by no relapses, no disability worsening and no MRI activity, including CLs. Results: Twenty patients (42%) reached the NEDA-3 status; patients with disease activity showed higher CSF TNF ( Conclusion: CSF inflammatory markers may provide prognostic information in predicting disease activity in the first years after DMF initiation. CSF TNF levels are a possible candidate in predicting treatment response, in addition to clinical, demographic and MRI variables.

Indexed as

chemokinescytokinesdimethyl fumaratedisease activityosteopontinrelapsing multiple sclerosisTNF

Identifiers

PMID35755969
PMCPMC9218430
OpenAlexW4285177417

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.