Genetic Pathways Involved in the Pathogenesis of Parkinson's Disease.

Konstantina Skolariki, Marios Diamantopoulos, Panayiotis Vlamos

Abstract read

In one paragraph

Article in Advances in experimental medicine and biology, 2021. 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, top 54% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Konstantina SkolarikiDepartment of Informatics, Ionian University, Corfu, Greece. kskolariki@hotmail.com.

Marios DiamantopoulosDepartment of Informatics, Ionian University, Corfu, Greece.

Panayiotis VlamosDepartment of Informatics, Ionian University, Corfu, Greece.

Ionian University · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disease. PD pathogenesis includes both genetic and environmental factors. Previous studies have linked the disease with several genes such as Parkin, SNCA, PINK1 and HTRA2. BiNGO software utilizes GO annotations in order to detect over-represented genes in terms of biological processes, cellular components and molecular functions. Three databases were utilized for this study (Ensembl, DisGeNET and UniProt). Data processing provided 110 genes associated with PD for further analysis. The aim of this study was to identify genes associated with PD and perform a functional enrichment analysis. Cytoscape and BiNGO software analysis presented several new genes that could play a potential role in pathogenesis of the disease. Future steps include additional research in order to establish the exact mechanism of action of these genes and pathways on PD.

Indexed as

Neurodegenerative DiseasesParkinson DiseaseHumansUbiquitin-Protein LigasesUbiquitin-Protein LigasesBiNGOCytoscapeFunctional enrichment analysisGene networkGenetic componentParkinson’s disease

Identifiers

PMID35023107

DOI10.1007/978-3-030-78787-5_25

OpenAlexW4206109019

What OpenQuestion 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 OpenQuestion graph.