Evidence map›Paper›PMID 40589786›Full record

SynthesisFrontiers in neuroscience2025

A systematic review and functional

Carlos A Arreola-Aldape, Jose A Moran-Guerrero, Guillermo K Pons-Monnier, Rogelio E Flores-Salcido, Emmanuel Martinez-Ledesma, Luis M Ruiz-Manriquez, K Rebeca Razo-Alvarez, Daniela Mares-Custodio, Pablo J Avalos-Montes, Jose A Figueroa-Sanchez and 3 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Carlos A Arreola-Aldape *Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Jose A Moran-Guerrero *Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Guillermo K Pons-Monnier *Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Rogelio E Flores-SalcidoTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Emmanuel Martinez-LedesmaTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Luis M Ruiz-ManriquezTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
K Rebeca Razo-AlvarezTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Daniela Mares-CustodioTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Pablo J Avalos-MontesTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Jose A Figueroa-SanchezTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Rocio Ortiz-LopezTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Hector R MartínezTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Raquel Cuevas-Diaz DuranTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Amyotrophic lateral sclerosis (ALS) is a fatal progressive neurodegenerative disease characterized by the deterioration of upper and lower motor neurons. Affected patients experience progressive muscle weakness, including difficulty in swallowing and breathing; being respiratory failure the main cause of death. However, there is considerable phenotypic heterogeneity, and its diagnosis is based on clinical criteria. Moreover, most ALS cases remain unexplained, suggesting a complex genetic background. Methods: To better understand the molecular mechanisms underlying ALS, we comprehensively analyzed, filtered and classified genes from 4,293 abstracts retrieved from PubMed, 7,343 variants from ClinVar, and 33 study accessions from GWAS catalog. To address the importance of ALS-associated genes and variants, we performed diverse bioinformatic analyses, including gene set enrichment, drug-gene interactions, and differential gene expression analysis using public databases. Results: Our analysis yielded a catalog of 300 genes with 479 ALS-associated variants. Most of these genes and variants are found in coding regions and their proteins are allocated to the cytoplasm and the nucleus, underscoring the relevance of toxic protein aggregates. Moreover, protein-coding genes enriched ALS-specific pathways, for example spasticity, dysarthria and dyspnea. ALS-associated genes are targeted by commonly used drugs, including Riluzole and Edaravone, and by the recently approved antisense oligonucleotide therapy (Tofersen). Moreover, we observed transcriptional dysregulation of ALS-associated genes in peripheral blood mononuclear cell and postmortem cortex samples. Conclusion: Overall, this ALS catalog can serve as a foundational tool for advancing early diagnosis, identifying biomarkers, and developing personalized therapeutic strategies.

Indexed as

Amyotrophic Lateral Sclerosisgenesmutationssystematic reviewvariants

Identifiers

PMID40589786
PMCPMC12206810

What OpenQuestion 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 OpenQuestion graph.