Evidence map›Paper›PMID 40138703›Full record

ReviewBiomolecules & biomedicine2025

Molecular aspects of Angelman Syndrome: Defining the new path forward.

Jacqueline Fátima Martins de Almeida, Ilaria Tonazzini, Simona Daniele

Abstract readReview
In one paragraph

Review in Biomolecules & biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
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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.

Jacqueline Fátima Martins de AlmeidaDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Ilaria TonazziniNEST, Nanoscienze Institute-CNR and Scuola Normale Superiore, Pisa, Italy.
Simona DanieleDepartment of Pharmacy, University of Pisa, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a rare neuro-genetic disease, Angelman syndrome (AS) affects about 15 to 500 thousand people worldwide. The AS is an imprinting genomic disease characterized by the loss of function of the maternal UBE3A gene, located in the 15q11-q13. This gene encodes a ~100 kDa protein, the Ubiquitin-protein ligase E3A (UBE3A), that participates in the ubiquitination process, one of the post-translational protein modifications. In the brain, under normal conditions, the paternal allele of the UBE3A gene is silenced, with only the maternal allele being active. However, in individuals with AS, the maternal loss of function of this gene leads to the complete absence of UBE3A expression, resulting in multiple pathological features. Clinically, children diagnosed with AS exhibit a characteristic behavioral phenotype, including a happy demeanor, frequent and unmotivated laughter, movement, speech impairment, severe intellectual disability, and sleep problems. Since its discovery in 1965, significant progress has been made in understanding the genetic and pathophysiological aspects of AS. However, despite these advances, the molecular mechanisms underlying the disease remain incompletely understood, and no effective treatment currently exists. Current therapies focus solely on symptom management, and no approach has yet succeeded in reactivating the silenced paternal UBE3A allele. Therefore, this review highlights the epigenetic aspects involved in the AS in order to provide a better understanding and clarification of the mechanisms, hopefully paving the way for future research to improve the treatment of affected individuals.

Indexed as

Angelman SyndromeUbiquitin-Protein LigasesAnimalsGenomic ImprintingHumansUBE3A protein, humanUbiquitin-Protein Ligases

Identifiers

PMID40138703
PMCPMC12450077

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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.