Evidence map›Paper›PMID 39337499›Full record

ArticleInternational journal of molecular sciences2024

Association of MicroRNA Expression and Serum Neurofilament Light Chain Levels with Clinical and Radiological Findings in Multiple Sclerosis.

María Inmaculada Domínguez-Mozo, Ignacio Casanova, Enric Monreal, Lucienne Costa-Frossard, Susana Sainz-de-la-Maza, Raquel Sainz-Amo, Yolanda Aladro-Benito, Pedro Lopez-Ruiz, Laura De-Torres, Sara Abellán and 10 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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

20 authors.

María Inmaculada Domínguez-MozoResearch Group in Environmental Factors of Neurodegenerative Diseases, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Red de Enfermedades Inflamatorias (REI), 28040 Madrid, Spain.
Ignacio CasanovaDepartment of Neurology, Hospital Universitario de Torrejón, 28850 Madrid, Spain.ORCID 0000-0002-5904-9904
Enric MonrealDepartment of Neurology, Hospital Universitario Ramón y Cajal, Red de Enfermedades Inflamatorias (REI), Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, 28034 Madrid, Spain.
Lucienne Costa-FrossardDepartment of Neurology, Hospital Universitario Ramón y Cajal, Red de Enfermedades Inflamatorias (REI), Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, 28034 Madrid, Spain.ORCID 0000-0002-6512-4413
Susana Sainz-de-la-MazaDepartment of Neurology, Hospital Universitario Ramón y Cajal, Red de Enfermedades Inflamatorias (REI), Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, 28034 Madrid, Spain.ORCID 0000-0001-8605-0049
Raquel Sainz-AmoDepartment of Neurology, Hospital Universitario Ramón y Cajal, Red de Enfermedades Inflamatorias (REI), Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, 28034 Madrid, Spain.
Yolanda Aladro-BenitoDepartment of Neurology, Hospital Universitario de Getafe, 28905 Madrid, Spain.ORCID 0000-0001-9459-5452
Pedro Lopez-RuizDepartment of Neurology, Hospital Universitario QuironSalud Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain.
Laura De-TorresDepartment of Neurology, Hospital Universitario de Torrejón, 28850 Madrid, Spain.
Sara AbellánDepartment of Neurology, Hospital Universitario de Torrejón, 28850 Madrid, Spain.
Maria Angel Garcia-MartinezResearch Group in Environmental Factors of Neurodegenerative Diseases, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Red de Enfermedades Inflamatorias (REI), 28040 Madrid, Spain.
David De-la-CuestaResearch Group in Environmental Factors of Neurodegenerative Diseases, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Red de Enfermedades Inflamatorias (REI), 28040 Madrid, Spain.ORCID 0000-0002-9545-9230
Daniel LouridoDepartment of Radiology, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, 28034 Madrid, Spain.ORCID 0000-0002-1146-4439
Angel Torrado-CarvajalMedical Image Analysis and Biometry Laboratory, Universidad Rey Juan Carlos, Móstoles, 28933 Madrid, Spain.ORCID 0000-0002-1540-2809
Carol Gomez-BarbosaDepartment of Radiology, Hospital Universitario de Torrejón, 28850 Madrid, Spain.
Carla Linares-VillavicencioDepartment of Radiology, Hospital Universitario de Torrejón, 28850 Madrid, Spain.
Luisa Maria VillarDepartment of Immunology, Hospital Universitario Ramón y Cajal, Red de Enfermedades Inflamatorias (REI), Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, 28034 Madrid, Spain.ORCID 0000-0002-9067-3668
Carlos López-De-SilanesDepartment of Neurology, Hospital Universitario de Torrejón, 28850 Madrid, Spain.
Rafael ArroyoDepartment of Neurology, Hospital Universitario QuironSalud Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain.
Roberto Alvarez-LafuenteResearch Group in Environmental Factors of Neurodegenerative Diseases, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Red de Enfermedades Inflamatorias (REI), 28040 Madrid, Spain.ORCID 0000-0002-3132-1486

Funding

Fundación LAIR xxxxFundación Mutua Madrileña xxxxMinisterio de Ciencia, Innovación y Universidades PID2021-126041OB-I00
6 · The paper itself

Abstract

microRNAs (miRNAs) are promising biomarkers for many diseases, including multiple sclerosis (MS). The neurofilament light chain (NfL) is a biomarker that can detect axonal damage in different neurological diseases. The objective of this study was to evaluate the association of the expression profile of pre-selected miRNAs and NfL levels with clinical and radiological variables in MS patients. We conducted a 1-year longitudinal prospective study in MS patients with different clinical forms. We measured clinical disability using the expanded disability status scale (EDSS), the magnetic resonance imaging (MRI) volumetry baseline, and cognitive functioning using the processing speed test (PST) at baseline and 1 year later. Selected serum miRNAs and serum NfL (sNfL) levels were quantified. Seventy-three patients were recruited. MiR-126.3p correlated with EDSS and cognitive status at baseline and miR-126.3p and miR-9p correlated with cognitive deterioration at 1 year. Correlations with regional brain volumes were observed between miR-126.3p and the cortical gray matter, cerebellum, putamen, and pallidum; miR-146a.5p with the cerebellum and pallidum; miR-29b.3p with white matter and the pallidum; miR-138.5p with the pallidum; and miR-9.5p with the thalamus. sNfL was correlated with miR-9.5p. miR-146a.5p was also associated with the MS phenotype. These data justify future studies to further explore the utility of miRNAs (mirR-126.3p, miR-146.5p, and miR.9-5p) and sNfL levels as biomarkers of MS.

Indexed as

BiomarkersMagnetic Resonance ImagingMicroRNAsMultiple SclerosisNeurofilament ProteinsAdultBrainFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesBiomarkersMicroRNAsneurofilament protein LNeurofilament Proteinsmagnetic resonance imaging (MRI)microRNAs (MiRNAs)multiple sclerosisneurofilament light (NfL)processing speed test (PST)

Identifiers

PMID39337499
PMCPMC11432459

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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.