Evidence map›Paper›PMID 36215027›Full record

ArticleMolecular neurobiology2023

CSF CXCL13 and Chitinase 3-like-1 Levels Predict Disease Course in Relapsing Multiple Sclerosis.

Matteo Lucchini, Valeria De Arcangelis, Geny Piro, Viviana Nociti, Assunta Bianco, Chiara De Fino, Gabriele Di Sante, Francesco Ria, Paolo Calabresi, Massimiliano Mirabella

Open access · hybridAbstract read
In one paragraph

Article in Molecular neurobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 38 citations in OpenAlex.

  1. A framework for blood biomarker discovery in MS.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026
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  9. The utility of CXCL13 and circulating CXCR5Frontiers in immunology · 2025
    Article
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  16. Observational
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  20. [Recent research on cytokines associated with anti-N-methyl-D-aspartate receptor encephalitis].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Review
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

10 authors at 3 institutions in 1 country.

Matteo LucchiniFondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy. lucchinimatteo87@gmail.com.ORCID http://orcid.org/0000-0002-0447-2297
Valeria De ArcangelisFondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy.
Geny PiroFondazione Policlinico Universitario Agostino Gemelli IRCCS, Oncologia Medica, Rome, Italy.
Viviana NocitiFondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy.
Assunta BiancoFondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy.
Chiara De FinoFondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy.
Gabriele Di SanteDipartimento Di Medicina e Chirurgia, Sezione Di Anatomia Umana, Clinica e Forense, Università Degli Studi Di Perugia, Perugia, Italy.
Francesco RiaDipartimento Di Medicina E Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy.
Paolo CalabresiFondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy.
Massimiliano MirabellaFondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy.
Università Cattolica del Sacro Cuore · ITAgostino Gemelli University Polyclinic · ITUniversity of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several biomarkers from multiple sclerosis (MS) patients' biological fluids have been considered to support diagnosis, predict disease course, and evaluate treatment response. In this study, we assessed the CSF concentration of selected molecules implicated in the MS pathological process. To investigate the diagnostic and prognostic significance of CSF concentration of target candidate biomarkers in both relapsing (RMS, n = 107) and progressive (PMS, n = 18) MS patients and in other inflammatory (OIND, n = 10) and non-inflammatory (ONIND, n = 15) neurological disorders. We measured the CSF concentration of APRIL, BAFF, CHI3L1, CCL-2, CXCL-8, CXCL-10, CXCL-12, CXCL-13 through a Luminex Assay. MS patients were prospectively evaluated, and clinical and radiological activity were recorded. CHI3L1 and CXCL13 CSF levels were significantly higher in both MS groups compared to control groups, while CCL2, BAFF, and APRIL concentrations were lower in RMS patients compared to PMS and OIND. Considering RMS patients with a single demyelinating event, higher concentrations of CHI3L1, CXCL10, CXCL12, and CXCL13 were recorded in patients who converted to clinically defined MS(CDMS). RMS patients in the CXCL13 and CHI3L1 high concentration group had a significantly higher risk of relapse (HR 12.61 and 4.57), MRI activity (HR 7.04 and 2.46), and of any evidence of disease activity (HR 12.13 and 2.90) during follow-up. CSF CXCL13 and CHI3L1 levels represent very good prognostic biomarkers in RMS patients, and therefore can be helpful in the treatment choice. Higher CSF concentrations of neuro-inflammatory biomarkers were associated with a higher risk of conversion to CDMS in patients with a first clinical demyelinating event. Differential CSF BAFF and APRIL levels between RMS and PMS suggest a different modulation of B-cells pathways in the different phases of the disease.

Indexed as

Chemokine CXCL13Chitinase-3-Like Protein 1Multiple SclerosisBiomarkersDisease ProgressionHumansRecurrenceBiomarkersChemokine CXCL13CHI3L1 protein, humanChitinase-3-Like Protein 1CXCL13 protein, humanAPRILBAFFBiomarkerCCL2ChemokineChitinase 3-like1CNSCSFCXC13CXCL10CXCL12CXCL8Multiple sclerosis

Identifiers

PMID36215027
PMCPMC9758105
OpenAlexW4303986457

What OpenQuestion holds

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LicenceCC BY
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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.