Evidence map›Paper›PMID 36411079›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2023

Serum Levels of CXCL13 Are Associated With Teriflunomide Response in Patients With Multiple Sclerosis.

Nicolás Fissolo, Agustin Pappolla, Jordi Rio, Luisa M Villar, Santiago Perez-Hoyos, Alex Sanchez, Lucía Gutierrez, Xavier Montalban, Manuel Comabella

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. A framework for blood biomarker discovery in MS.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026
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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 2 institutions in 1 country.

Nicolás FissoloFrom the Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron (N.F., A.P., J.R., L.G., X.M., M.C.); Departments of Immunology and Neurology (L.M.V.), Multiple Sclerosis Unit, Hospital Ramon y Cajal, (IRYCIS), Madrid; Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR) (S.P.-H., A.S.); and Genetics, Microbiology and Statistics Department (A.S.), Universitat de Barcelona, Spain. nicolas.fissolo@vhir.org.
Agustin PappollaFrom the Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron (N.F., A.P., J.R., L.G., X.M., M.C.); Departments of Immunology and Neurology (L.M.V.), Multiple Sclerosis Unit, Hospital Ramon y Cajal, (IRYCIS), Madrid; Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR) (S.P.-H., A.S.); and Genetics, Microbiology and Statistics Department (A.S.), Universitat de Barcelona, Spain.
Jordi RioFrom the Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron (N.F., A.P., J.R., L.G., X.M., M.C.); Departments of Immunology and Neurology (L.M.V.), Multiple Sclerosis Unit, Hospital Ramon y Cajal, (IRYCIS), Madrid; Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR) (S.P.-H., A.S.); and Genetics, Microbiology and Statistics Department (A.S.), Universitat de Barcelona, Spain.
Luisa M VillarFrom the Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron (N.F., A.P., J.R., L.G., X.M., M.C.); Departments of Immunology and Neurology (L.M.V.), Multiple Sclerosis Unit, Hospital Ramon y Cajal, (IRYCIS), Madrid; Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR) (S.P.-H., A.S.); and Genetics, Microbiology and Statistics Department (A.S.), Universitat de Barcelona, Spain.
Santiago Perez-HoyosFrom the Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron (N.F., A.P., J.R., L.G., X.M., M.C.); Departments of Immunology and Neurology (L.M.V.), Multiple Sclerosis Unit, Hospital Ramon y Cajal, (IRYCIS), Madrid; Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR) (S.P.-H., A.S.); and Genetics, Microbiology and Statistics Department (A.S.), Universitat de Barcelona, Spain.
Alex SanchezFrom the Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron (N.F., A.P., J.R., L.G., X.M., M.C.); Departments of Immunology and Neurology (L.M.V.), Multiple Sclerosis Unit, Hospital Ramon y Cajal, (IRYCIS), Madrid; Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR) (S.P.-H., A.S.); and Genetics, Microbiology and Statistics Department (A.S.), Universitat de Barcelona, Spain.
Lucía GutierrezFrom the Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron (N.F., A.P., J.R., L.G., X.M., M.C.); Departments of Immunology and Neurology (L.M.V.), Multiple Sclerosis Unit, Hospital Ramon y Cajal, (IRYCIS), Madrid; Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR) (S.P.-H., A.S.); and Genetics, Microbiology and Statistics Department (A.S.), Universitat de Barcelona, Spain.
Xavier MontalbanFrom the Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron (N.F., A.P., J.R., L.G., X.M., M.C.); Departments of Immunology and Neurology (L.M.V.), Multiple Sclerosis Unit, Hospital Ramon y Cajal, (IRYCIS), Madrid; Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR) (S.P.-H., A.S.); and Genetics, Microbiology and Statistics Department (A.S.), Universitat de Barcelona, Spain.
Manuel ComabellaFrom the Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron (N.F., A.P., J.R., L.G., X.M., M.C.); Departments of Immunology and Neurology (L.M.V.), Multiple Sclerosis Unit, Hospital Ramon y Cajal, (IRYCIS), Madrid; Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR) (S.P.-H., A.S.); and Genetics, Microbiology and Statistics Department (A.S.), Universitat de Barcelona, Spain.
Vall d'Hebron Institut de Recerca · ESUniversitat de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesTo identify biomarkers associated with treatment response in patients with multiple sclerosis (MS) treated with the oral therapies teriflunomide, dimethyl fumarate (DMF), and fingolimod.

methodsSerum levels of IL-6, IL-17, TNF-α, granulocyte-macrophage colony-stimulating factor, IL-10, interferon-gamma (IFN-γ) IL-1β, and chemokine ligand 13 (CXCL13) were measured at baseline and 12 months with single molecule array (Simoa) assays in a cohort of patients with MS treated with teriflunomide (N = 19), DMF (N = 22), and fingolimod (N = 25) and classified into "no evidence of disease activity" (NEDA) and EDA patients after 1 year of treatment.

resultsSerum CXCL13 and TNF-α levels were significantly decreased after treatment with teriflunomide in NEDA compared with EDA patients after 1 year of treatment ( DISCUSSION: Altogether, these results point to CXCL13 as a treatment response biomarker to teriflunomide in relapsing-remitting patients with MS, and the change in CXCL13 levels during the first year of treatment can be used in clinical practice to identify optimal responders to teriflunomide.

Indexed as

Multiple SclerosisMultiple Sclerosis, Relapsing-RemittingChemokine CXCL13CrotonatesDimethyl FumarateFingolimod HydrochlorideHumansHydroxybutyratesImmunosuppressive AgentsNitrilesToluidinesChemokine CXCL13CrotonatesCXCL13 protein, humanDimethyl FumarateFingolimod HydrochlorideHydroxybutyratesImmunosuppressive AgentsNitrilesteriflunomideToluidines

Identifiers

PMID36411079
PMCPMC9679885
OpenAlexW4309657233

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LicenceCC BY-NC-ND
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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.