Evidence map›Paper›PMID 30819229›Full record

SynthesisMolecular brain2019

Gene expression meta-analysis of Parkinson's disease and its relationship with Alzheimer's disease.

Jack Kelly, Rana Moyeed, Camille Carroll, Diego Albani, Xinzhong Li

Abstract readMeta-Analysis
In one paragraph

Synthesis in Molecular brain, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 4 pooled it
–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

41 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Jack KellyFaculty of Medicine and Dentistry, Plymouth University, Plymouth, PL6 8BU, UK.
Rana MoyeedFaculty of Science and Engineering, Plymouth University, Plymouth, PL6 8BU, UK.
Camille CarrollFaculty of Medicine and Dentistry, Plymouth University, Plymouth, PL6 8BU, UK.
Diego AlbaniDepartment of Neuroscience, IRCCS - Istituto di Ricerche Farmacologiche "Mario Negri" Via La Masa 19, 20156, Milan, Italy.
Xinzhong LiFaculty of Medicine and Dentistry, Plymouth University, Plymouth, PL6 8BU, UK. xinzhong.li@plymouth.ac.uk.ORCID 0000-0002-6411-4045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) and Alzheimer's disease (AD) are the most common neurodegenerative diseases and have been suggested to share common pathological and physiological links. Understanding the cross-talk between them could reveal potentials for the development of new strategies for early diagnosis and therapeutic intervention thus improving the quality of life of those affected. Here we have conducted a novel meta-analysis to identify differentially expressed genes (DEGs) in PD microarray datasets comprising 69 PD and 57 control brain samples which is the biggest cohort for such studies to date. Using identified DEGs, we performed pathway, upstream and protein-protein interaction analysis. We identified 1046 DEGs, of which a majority (739/1046) were downregulated in PD. YWHAZ and other genes coding 14-3-3 proteins are identified as important DEGs in signaling pathways and in protein-protein interaction networks (PPIN). Perturbed pathways also include mitochondrial dysfunction and oxidative stress. There was a significant overlap in DEGs between PD and AD, and over 99% of these were differentially expressed in the same up or down direction across the diseases. REST was identified as an upstream regulator in both diseases. Our study demonstrates that PD and AD share significant common DEGs and pathways, and identifies novel genes, pathways and upstream regulators which may be important targets for therapy in both diseases.

Indexed as

Gene Expression RegulationAlzheimer DiseaseDown-RegulationGene Expression ProfilingHumansParkinson DiseaseProtein Interaction MapsSignal TransductionTranscription, GeneticAlzheimer’s diseaseGene expressionMeta-analysisParkinson’s diseaseSystems analysisTranscriptome analysis

Identifiers

PMID30819229
PMCPMC6396547

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.