Evidence map›Paper›PMID 41234467›Full record

ArticleTurkish journal of medical sciences2025

Baseline neurofilament light chain and brain-derived neurotrophic factor levels predict development of aggressive multiple sclerosis.

Ruziye Erol Yildiz, Ece Akbayir, Tuğçe Kizilay, Ayça Simay Ersöz, Duygu Özkan Yaşargün, Devran Süer, Vuslat Yilmaz, Erdem Tüzün, Recai Türkoğlu

Abstract read
In one paragraph

Article in Turkish journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ruziye Erol YildizDepartment of Neurology, University of Health Sciences, Haydarpaşa Numune Training and Research Hospital, İstanbul, Turkiye.ORCID https://orcid.org/0000-0001-9182-2955
Ece AkbayirDepartment of Neuroscience, Aziz Sancar Institute of Experimental Medicine, İstanbul University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-8148-6940
Tuğçe KizilayDepartment of Neurology, University of Health Sciences, Haydarpaşa Numune Training and Research Hospital, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-1092-5336
Ayça Simay ErsözDepartment of Neurology, University of Health Sciences, Haydarpaşa Numune Training and Research Hospital, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-7588-3376
Duygu Özkan YaşargünDepartment of Neurology, University of Health Sciences, Haydarpaşa Numune Training and Research Hospital, İstanbul, Turkiye.ORCID https://orcid.org/0000-0003-3723-6335
Devran SüerDepartment of Neurology, University of Health Sciences, Haydarpaşa Numune Training and Research Hospital, İstanbul, Turkiye.ORCID https://orcid.org/0000-0003-4119-6380
Vuslat YilmazDepartment of Neuroscience, Aziz Sancar Institute of Experimental Medicine, İstanbul University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-4809-2966
Erdem TüzünDepartment of Neuroscience, Aziz Sancar Institute of Experimental Medicine, İstanbul University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-4483-0394
Recai TürkoğluDepartment of Neurology, University of Health Sciences, Haydarpaşa Numune Training and Research Hospital, İstanbul, Turkiye.ORCID https://orcid.org/0000-0001-9724-851X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: Patients with multiple sclerosis (MS) may present with a rapidly disabling clinical course in the first few years of disease. It is imperative to find biomarkers to predict patients with aggressive MS (AMS) and have an opportunity to prevent disability accumulation through appropriate treatment strategies. Our aim was to explore the prognostic value of neurofilament light chain (NFL) and brain-derived neurotrophic factor (BDNF) levels in cerebrospinal fluid (CSF) obtained in the early stages of MS. Materials and methods: Relapsing-remitting multiple sclerosis (RRMS) patients presenting with first-time attacks were screened, of which 26 fulfilled AMS criteria in the 3-year follow-up period. In addition, 27 age/sex-matched RRMS patients without AMS (non-AMS) were included. Baseline NFL and BDNF levels were measured in CSF obtained during the remission period following the first MS attack. Disease activity was monitored for 3 years by periodic expanded disability status scale (EDSS), cranial-spinal MRI assessments, and no evidence of disease activity (NEDA)-3 was determined. Results: AMS patients showed significantly higher attack numbers, EDSS scores, MRI lesions, and baseline NFL levels compared to non-AMS patients. Baseline BDNF levels were significantly lower than in non-AMS patients. NFL/BDNF levels were correlated with number of attacks and/or EDSS scores at the third year follow-up. Patients with NEDA-3 showed significantly lower baseline NFL and higher BDNF levels than those without NEDA-3. Receiver operating characteristic curve analysis showed the highest specificity for CSF BDNF measurements in predicting AMS conversion. Conclusion: Baseline NFL and BDNF levels effectively predict the development of AMS emerging early in the course of MS. Combined use of these molecular markers with MRI results may enable early diagnosis and appropriate therapeutic intervention of AMS.

Indexed as

Brain-Derived Neurotrophic FactorMultiple SclerosisMultiple Sclerosis, Relapsing-RemittingNeurofilament ProteinsAdultBiomarkersFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisBDNF protein, humanBiomarkersBrain-Derived Neurotrophic Factorneurofilament protein LNeurofilament Proteinsautoimmunitybrain-derived neurotrophic factordisabilityMultiple sclerosisneurofilament light chain

Identifiers

PMID41234467
PMCPMC12611367

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.