Evidence map›Paper›PMID 39949311›Full record

ArticleAnnals of neurology2025

Mapping Molecular Pathways of Multiple Sclerosis: A Gene Prioritization and Network Analysis of White Matter Pathology Transcriptomics.

Gianmarco Abbadessa, Ai Nagano, Simon Hametner, Owain Howell, David Owen, Artemis Papadaki, Prashant Srivastava, Simona Bonavita, Roberta Magliozzi, Richard Reynolds and 2 more

Abstract read
In one paragraph

Article in Annals of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Downregulation of dual-specificity phosphatase 1 (DUSP1) in post-mortem brain white matter in progressive multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    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

12 authors.

Gianmarco AbbadessaDepartment of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy.ORCID 0000-0001-8912-3055
Ai NaganoDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.
Simon HametnerDivision of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.
Owain HowellDepartment of Brain Sciences, Imperial College London, London, UK.
David OwenDepartment of Brain Sciences, Imperial College London, London, UK.
Artemis PapadakiCentre for Inflammatory Disease, Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-2295-3713
Prashant SrivastavaNational Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, UK.
Simona BonavitaDepartment of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy.
Roberta MagliozziDepartment of Brain Sciences, Imperial College London, London, UK.ORCID 0000-0001-8284-7763
Richard ReynoldsDepartment of Brain Sciences, Imperial College London, London, UK.
Mie RizigDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK.
Richard NicholasDepartment of Brain Sciences, Imperial College London, London, UK.ORCID 0000-0003-0414-1225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRapid advances in transcriptomics have driven efforts to identify deregulated pathways in multiple sclerosis (MS) tissues, though many detected differentially expressed genes are likely false positives, with only a small fraction reflecting actual pathological events. Robust, integrative methods are essential for accurately understanding the molecular mechanisms underlying MS pathology.

methodsWe conducted a gene prioritization analysis of MS white matter pathology transcriptomic studies. Articles were sought in Scopus and PubMed up to July 31, 2024. Potentially eligible publications were those that provided either transcriptomics datasets (deposited in GEO) or lists of differentially expressed genes comparing MS white matter to control white matter.

resultsApplying a vote-count strategy to search for the intersection of genes reported in multiple independent studies with a consistent fold-change direction, followed by a Monte Carlo simulation, we identified 528 highly significant differentially expressed multi-study genes (p < 0.0001; 10,000 simulations). Functional enrichment analysis revealed deregulation of the folate pathway in MS normal-appearing white matter, and tumor necrosis factor (TNF) -related and complement-related pathways in active and chronic active lesions, respectively. Network analysis identified 6 key signaling hubs: PTPRC, HLA-B, MYC, MMP2, COL11A2, MAG. The major nodes identified revealed mechanistic concordance with published in vivo MS models, supporting their value as potential therapeutic targets.

interpretationOur strategy provides a robust framework for integrating gene expression data, effectively identifying the intricate pathways altered in human diseased tissues. This method holds potential for translating findings into drug development strategies. ANN NEUROL 2025;98:67-79.

Indexed as

Gene Regulatory NetworksMultiple SclerosisTranscriptomeWhite MatterGene Expression ProfilingHumans

Identifiers

PMID39949311
PMCPMC12174739

What Socratic holds

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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 Socratic graph.