Evidence map›Paper›PMID 29915590›Full record

ArticleFrontiers in immunology2018

Profiling of Canonical and Non-Traditional Cytokine Levels in Interferon-β-Treated Relapsing-Remitting-Multiple Sclerosis Patients.

Chiara D'Angelo, Marcella Reale, Erica Costantini, Marta Di Nicola, Italo Porfilio, Clara de Andrés, Lidia Fernández-Paredes, Silvia Sánchez-Ramón, Livia Pasquali

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

9 authors at 5 institutions in 2 countries.

Chiara D'AngeloDepartment of Medical, Oral and Biotechnological Sciences, School of Medicine and Health Sciences, University "G.d'Annunzio" Chieti-Pescara, Chieti, Italy.
Marcella RealeDepartment of Medical, Oral and Biotechnological Sciences, School of Medicine and Health Sciences, University "G.d'Annunzio" Chieti-Pescara, Chieti, Italy.
Erica CostantiniDepartment of Medical, Oral and Biotechnological Sciences, School of Medicine and Health Sciences, University "G.d'Annunzio" Chieti-Pescara, Chieti, Italy.
Marta Di NicolaDepartment of Medical, Oral and Biotechnological Sciences, School of Medicine and Health Sciences, University "G.d'Annunzio" Chieti-Pescara, Chieti, Italy.
Italo PorfilioDepartment of Medicine and Ageing Sciences, School of Hygiene and Preventive Medicine, University "G.d'Annunzio" Chieti-Pescara, Chieti, Italy.
Clara de AndrésDepartment of Neurology, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Lidia Fernández-ParedesDepartment of Clinical Immunology and IdISSC, Hospital Clínico San Carlos, Madrid, Spain.
Silvia Sánchez-RamónDepartment of Clinical Immunology and IdISSC, Hospital Clínico San Carlos, Madrid, Spain.
Livia PasqualiDepartment of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy.
University of Chieti-Pescara · ITHospital Clínico San Carlos · ESHospital General Universitario Gregorio Marañón · ESUniversidad Complutense de Madrid · ESUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multiple sclerosis (MS) is a chronic, progressive autoimmune disease of the central nervous system in which inflammation plays a key role in the induction, development, and progression. Most of the MS patients present with relapsing-remitting (RR) form, characterized by flare-ups followed by periods of recovery. Many inflammatory and anti-inflammatory cytokines have been proposed as backers in MS pathogenesis, and the balance between these differing cytokines can regulate MS severity. Interferon (IFN)-β, a current disease-modifying therapy for MS, has demonstrated beneficial effects in reducing disease severity in MS patients. However, its immunoregulatory and anti-inflammatory actions in MS are not wholly understood. The aim of the study was to define, in clinically stable patients with RR-MS, the serum concentration of several cytokines, canonical or not, and their modulation by IFN-β therapy. Methods: Relapsing-remitting-MS patients were enrolled and diagnosed according to revised Mc Donald Diagnostic Criteria. A set of cytokines [including non-canonical neurotransmitter acetylcholine (ACh) and adipokines] and B-cell differentiation molecules, as potential biomarkers, were evaluated in 30 non-treated RR-MS patients compared to 30 IFN-β-treated MS patients and 30 age, gender, and body mass index-matched healthy controls (HC). Results: Naïve MS patients showed significantly higher levels of interleukin (IL)-1β, IL-12/IL-23p40, IL-18, high-mobility group box protein-1, and IL-18 binding protein (IL-18BP) than MS-treated patients ( Conclusion: Although more experimental evidence are required, we speculate that the efficacy of treatment of MS with IFN-β is mediated, at least in part, by its ability to work on several levels to slow down the disease progression. Proposed actions include the modulation of IL-1-inflammasome axis and modulation of ACh, B-cell activating factor/a proliferation-inducing ligand system, and several adipokines.

Indexed as

BiomarkersAdultAgedCase-Control StudiesCytokinesFemaleHumansInflammasomesInflammation MediatorsInterferon-betaMaleMiddle AgedMultiple Sclerosis, Relapsing-RemittingPersons with DisabilitiesSeverity of Illness IndexBiomarkersCytokinesInflammasomesInflammation MediatorsInterferon-betaadipokinesinflammasomeinterferon-β therapymultiple sclerosispro-inflammatory cytokines

Identifiers

PMID29915590
PMCPMC5994428
OpenAlexW2803640734

What OpenQuestion holds

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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.