Evidence map›Paper›PMID 41299145›Full record

ReviewMolecular neurobiology2025

Unlocking the Therapeutic Potential of RGMa: A New Frontier in Neurological Disorder Treatment.

Elham Hosseini, Mohammad Ali Sahraian, Sajad Sahab Negah

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 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. 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

3 authors.

Elham HosseiniNeuroscience Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad Ali SahraianMultiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Sajad Sahab NegahMultiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran. sahabnegahs@tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finding new biomolecules to target upstream signaling in neurological disorders is a state-of-the-art research strategy. Axon guidance molecules (AGMs) play vital roles in development; however, evidence suggests that these molecules are involved in the pathogenesis of several neurological diseases. Recent studies have shown that repulsive guidance molecule A (RGMa), a member of AGMs, can be targeted as a novel therapeutic option. This molecule has been implicated in several diseases, and inhibiting it improves the outcomes. For example, in various pathological conditions such as multiple sclerosis, neuromyelitis optica, optic nerve crush model, focal cerebral ischemia, traumatic brain injury, and vascular dementia the expression of RGMa is significantly elevated. RGMa has been detected on amyloid plaques and in the glial scar in brains impacted by Alzheimer's disease. Furthermore, RGMa is elevated by activated astrocytes after exposure to TGFβ. Since the role of RGMa in the development of neurological disorders is crucial, inhibiting RGMa can lead to positive outcomes such as axonal regeneration, neuronal repair, and behavioral improvement. Our review explores the impact of RGMa and outlines the positive results achieved by targeting it in preclinical studies. Based on this information, it is clear that RGMa has significant potential as both a predictive biomarker and a therapeutic option.

Indexed as

Nerve Tissue ProteinsNervous System DiseasesAnimalsGPI-Linked ProteinsHumansGPI-Linked ProteinsNerve Tissue ProteinsRGMA protein, humanAxon guidance moleculeNeuroinflammationNeurological disorderNeuroregenerationRepulsive guidance molecule ARGMa

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.