Evidence map›Paper›PMID 38305999›Full record

ArticleMetabolic brain disease2024

Identification of metabolic pathways and key genes associated with atypical parkinsonism using a systems biology approach.

Amanda Pasqualotto, Vinícius da Silva, Felipe Mateus Pellenz, Artur Francisco Schumacher Schuh, Ida Vanessa Doederlein Schwartz, Marina Siebert

Abstract read
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In one paragraph

Article in Metabolic brain disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Fluid biomarkers in atypical Parkinsonism: current state and future perspectives.Journal of neural transmission (Vienna, Austria : 1996) · 2025
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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

6 authors at 1 institution in 1 country.

Amanda PasqualottoPrograma de Pós-graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.ORCID 0000-0002-8273-3499
Vinícius da SilvaUniversidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.ORCID 0000-0002-0146-4670
Felipe Mateus PellenzServiço de Endocrinologia, -Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID 0000-0002-7829-9407
Artur Francisco Schumacher SchuhServiço de Neurologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID 0000-0002-8722-0908
Ida Vanessa Doederlein SchwartzPrograma de Pós-graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil. ischwartz@hcpa.edu.br.ORCID 0000-0002-7933-6687
Marina SiebertBRAIN Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID 0000-0003-3366-2177
Universidade Federal do Rio Grande do Sul · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
6 · The paper itself

Abstract

Atypical parkinsonism (AP) is a group of complex neurodegenerative disorders with marked clinical and pathophysiological heterogeneity. The use of systems biology tools may contribute to the characterization of hub-bottleneck genes, and the identification of its biological pathways to broaden the understanding of the bases of these disorders. A systematic search was performed on the DisGeNET database, which integrates data from expert curated repositories, GWAS catalogues, animal models and the scientific literature. The tools STRING 11.0 and Cytoscape 3.8.2 were used for analysis of protein-protein interaction (PPI) network. The PPI network topography analyses were performed using the CytoHubba 0.1 plugin for Cytoscape. The hub and bottleneck genes were inserted into 4 different sets on the InteractiveVenn. Additional functional enrichment analyses were performed to identify Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene ontology for a described set of genes. The systematic search in the DisGeNET database identified 485 genes involved with Atypical Parkinsonism. Superimposing these genes, we detected a total of 31 hub-bottleneck genes. Moreover, our functional enrichment analyses demonstrated the involvement of these hub-bottleneck genes in 3 major KEGG pathways. We identified 31 highly interconnected hub-bottleneck genes through a systems biology approach, which may play a key role in the pathogenesis of atypical parkinsonism. The functional enrichment analyses showed that these genes are involved in several biological processes and pathways, such as the glial cell development, glial cell activation and cognition, pathways were related to Alzheimer disease and Parkinson disease. As a hypothesis, we highlight as possible key genes for AP the MAPT (microtubule associated protein tau), APOE (apolipoprotein E), SNCA (synuclein alpha) and APP (amyloid beta precursor protein) genes.

Indexed as

Metabolic Networks and PathwaysParkinsonian DisordersProtein Interaction MapsSystems BiologyAnimalsGene Regulatory NetworksHumansAnd Lewy body dementiaAtypical parkinsonismCorticobasal degenerationMultiple system atrophyProgressive supranuclear palsySystems biology

Identifiers

PMID38305999
OpenAlexW4391475246

What OpenQuestion holds

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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.