Evidence map›Paper›PMID 39689271›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2025

Micro-RNA Signature in CSF Before and After Autologous Hematopoietic Stem Cell Transplantation for Multiple Sclerosis.

Ivan Pavlovic, Fredrik Axling, Faisal Hayat Nazir, Malin Müller, Anna Wiberg, Joachim Burman

Abstract read
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Ivan PavlovicTranslational Neurology, Department of Medical Sciences, Uppsala University.ORCID 0000-0002-7832-3083
Fredrik AxlingEndocrine Surgery, Department of Surgical Sciences, Uppsala University; and.ORCID 0000-0003-3748-3176
Faisal Hayat NazirTranslational Neurology, Department of Medical Sciences, Uppsala University.ORCID 0000-0001-7345-8256
Malin MüllerTranslational Neurology, Department of Medical Sciences, Uppsala University.ORCID 0000-0002-3385-6361
Anna WibergTranslational Neurology, Department of Medical Sciences, Uppsala University.ORCID 0000-0002-4563-4432
Joachim BurmanTranslational Neurology, Department of Medical Sciences, Uppsala University.ORCID 0000-0002-7045-1806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesMicroRNAs (miRNAs) are regulators of gene expression and have been reported to be dysregulated in people with multiple sclerosis (pwMS). Autologous hematopoietic stem cell transplantation (aHSCT) is an immune-ablative treatment intervention for pwMS. Currently, it is unknown if aHSCT affects expression levels of miRNAs in CSF. We explored the ability of circulating miRNA to discriminate between pwMS and healthy controls (HCs) and investigated whether these miRNAs were affected by treatment with aHSCT.

methodsUsing quantitative reverse transcription PCR, 87 miRNAs were analyzed in CSF samples of a discovery cohort (

resultsTwelve miRNAs were dysregulated in pwMS compared with HC ( DISCUSSION: miRNAs are dysregulated in CSF from pwMS and particularly in patients with less effective treatments and/or higher inflammatory disease activity. A 4-miRNA signature with elevated expression of miR-16-5p, miR-21-5p, miR-150-5p, and miR-146a-5p was recurring in multiple analyses. After intervention with aHSCT, the expression levels approached the levels of the HCs, suggesting a potent treatment effect.

Indexed as

Hematopoietic Stem Cell TransplantationMicroRNAsTransplantation, AutologousAdultCohort StudiesFemaleHumansMaleMiddle AgedMultiple SclerosisMicroRNAs

Identifiers

PMID39689271
PMCPMC11655170

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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.