Evidence map›Paper›PMID 41079358›Full record

ArticleFrontiers in neurology2025

System-level hypothesis of dopamine imbalance in early multiple sclerosis.

Daniele Caligiore, Aurelia Schirripa, Monica Biggio

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Daniele CaligioreComputational and Translational Neuroscience Laboratory, Institute of Cognitive Sciences and Technologies, National Research Council (CTNLab-ISTC-CNR), Rome, Italy.
Aurelia SchirripaComputational and Translational Neuroscience Laboratory, Institute of Cognitive Sciences and Technologies, National Research Council (CTNLab-ISTC-CNR), Rome, Italy.
Monica BiggioDepartment of Neuroscience, Rehabilitation, Ophtalmology Genetics, Maternal and Child Health, DINOGMI, University of Genoa, Largo Paolo Daneo, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Sclerosis (MS) is a chronic autoimmune disorder of the central nervous system, with evidence suggesting that age-related brain changes may influence its progression. Clinically Isolated Syndrome (CIS) often marks an early phase of MS, with optic neuritis frequently presenting as a symptom. Despite recognition as an early indicator, the mechanisms driving optic neuritis and its contribution to MS progression remain unclear. Traditionally, immune-mediated inflammation has dominated MS research; however, emerging evidence highlights neurotransmitter dysregulation-especially involving dopamine-as a crucial factor in disease pathophysiology. The impact of dopamine imbalance on neural circuits and its role in advancing MS requires further investigation. This paper proposes a system-level, dopamine-based hypothesis to explain MS origins, focusing on early stages in CIS. Building on a review of recent literature linking dopaminergic dysfunction, neuroinflammation, and demyelination, the model suggests that optic nerve demyelination, as seen in optic neuritis, disrupts dopamine signaling, triggering a cascade of neural alterations that drive MS pathogenesis. By emphasizing dopamine role in CIS and early MS, this framework offers a novel perspective on the neurobiological mechanisms underlying the disease. This approach complements current research on neurotransmitter involvement in age-related conditions, expanding understanding of how neurotransmitter imbalances may influence MS and related disorders.

Indexed as

clinically isolated syndromedemyelinationdopamine dysregulationmultiple sclerosisnetwork neuroscienceneurodegenerationneurotransmitter imbalanceoptic neuritis

Identifiers

PMID41079358
PMCPMC12508551

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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.