Evidence map›Paper›PMID 39171600›Full record

ReviewCNS & neurological disorders drug targets2025

Amyotrophic Lateral Sclerosis (ALS): An Overview of Genetic and Metabolic Signaling Mechanisms.

Jose Augusto Nogueira-Machado, Franscisco das Chagas Lima E Silva, Fabiana Rocha-Silva, Nathalia Gomes

Abstract readReview
PubMed Publisher
In one paragraph

Review in CNS & neurological disorders drug targets, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Genome-Wide Characterization of thePlants (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. 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

4 authors.

Jose Augusto Nogueira-MachadoPrograma de Pós-Graduação Stricto Sensu em Medicina/Biomedicina, Belo Horizonte, Minas Gerais, Brazil.
Franscisco das Chagas Lima E SilvaPrograma de Pós-Graduação Stricto Sensu em Medicina/Biomedicina, Belo Horizonte, Minas Gerais, Brazil.
Fabiana Rocha-SilvaPrograma de Pós-Graduação Stricto Sensu em Medicina/Biomedicina, Belo Horizonte, Minas Gerais, Brazil.
Nathalia GomesDepartment of Morphology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic Lateral Sclerosis (ALS) is a rare, progressive, and incurable disease. Sporadic (sALS) accounts for ninety percent of ALS cases, while familial ALS (fALS) accounts for around ten percent. Reports have identified over 30 different forms of familial ALS. Multiple types of fALS exhibit comparable symptoms with mutations in different genes and possibly with different predominant metabolic signals. Clinical diagnosis takes into account patient history but not genetic mutations, misfolded proteins, or metabolic signaling. As research on genetics and metabolic pathways advances, it is expected that the intricate complexity of ALS will compound further. Clinicians discuss whether a gene's presence is a cause of the disease or just an association or consequence. They believe that a mutant gene alone is insufficient to diagnose ALS. ALS, often perceived as a single disease, appears to be a complex collection of diseases with similar symptoms. This review highlights gene mutations, metabolic pathways, and muscle-neuron interactions.

Indexed as

Amyotrophic Lateral SclerosisSignal TransductionAnimalsHumansMutationALSAmyotrophic lateral sclerosisgenetic biomarkersmetabolic signalingmuscle-neuron interactionmutated ALS genesneurodegenerative diseases.neurological implications

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.