Evidence map›Paper›PMID 28004338›Full record

SynthesisMolecular neurobiology2018

Network Analysis Identifies Disease-Specific Pathways for Parkinson's Disease.

Chiara Monti, Ilaria Colugnat, Leonardo Lopiano, Adriano Chiò, Tiziana Alberio

Open access · greenAbstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular neurobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Chiara MontiLaboratory of Biochemistry and Functional Proteomics, Department of Science and High Technology, University of Insubria, via Manara,7, I-21052, Busto Arsizio, VA, Italy.
Ilaria ColugnatLaboratory of Biochemistry and Functional Proteomics, Department of Science and High Technology, University of Insubria, via Manara,7, I-21052, Busto Arsizio, VA, Italy.
Leonardo Lopiano'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.
Adriano Chiò'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.
Tiziana AlberioLaboratory of Biochemistry and Functional Proteomics, Department of Science and High Technology, University of Insubria, via Manara,7, I-21052, Busto Arsizio, VA, Italy. tiziana.alberio@uninsubria.it.ORCID 0000-0002-6065-6699
University of Insubria · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative diseases are characterized by the progressive loss of specific neurons in selected regions of the central nervous system. The main clinical manifestation (movement disorders, cognitive impairment, and/or psychiatric disturbances) depends on the neuron population being primarily affected. Parkinson's disease is a common movement disorder, whose etiology remains mostly unknown. Progressive loss of dopaminergic neurons in the substantia nigra causes an impairment of the motor control. Some of the pathogenetic mechanisms causing the progressive deterioration of these neurons are not specific for Parkinson's disease but are shared by other neurodegenerative diseases, like Alzheimer's disease and amyotrophic lateral sclerosis. Here, we performed a meta-analysis of the literature of all the quantitative proteomic investigations of neuronal alterations in different models of Parkinson's disease, Alzheimer's disease, and amyotrophic lateral sclerosis to distinguish between general and Parkinson's disease-specific pattern of neurodegeneration. Then, we merged proteomics data with genetics information from the DisGeNET database. The comparison of gene and protein information allowed us to identify 25 proteins involved uniquely in Parkinson's disease and we verified the alteration of one of them, i.e., transaldolase 1 (TALDO1), in the substantia nigra of 5 patients. By using open-source bioinformatics tools, we identified the biological processes specifically affected in Parkinson's disease, i.e., proteolysis, mitochondrion organization, and mitophagy. Eventually, we highlighted four cellular component complexes mostly involved in the pathogenesis: the proteasome complex, the protein phosphatase 2A, the chaperonins CCT complex, and the complex III of the respiratory chain.

Indexed as

Databases, GeneticAnimalsGene Regulatory NetworksHumansParkinson DiseaseProteomicsSignal TransductionAlzheimer’s diseaseAmyotrophic lateral sclerosisMeta-analysisNetwork analysisParkinson’s diseasePathway analysis

Identifiers

PMID28004338
OpenAlexW2566451156

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.