Evidence map›Paper›PMID 36593912›Full record

ArticleOxidative medicine and cellular longevity2022

Bioinformatic Analysis of Genetic Factors from Human Blood Samples and Postmortem Brains in Parkinson's Disease.

Longping Yao, Kai Lin, Zijian Zheng, Sumeyye Koc, Shizhong Zhang, Guohui Lu, Thomas Skutella

Open access · hybridAbstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 48 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

7 authors at 5 institutions in 3 countries.

Longping YaoDepartment of Neuroanatomy, Group for Regeneration and Reprogramming, Institute for Anatomy and Cell Biology, Medical Faculty, Heidelberg University, 69120 Heidelberg, Germany.ORCID https://orcid.org/0000-0002-7239-1392
Kai LinNursing Department of Zengcheng Branch, Nanfang Hospital, No. 28 Innovation Avenue, Zengcheng, Guangzhou 511300, China.
Zijian ZhengDepartment of Neurosurgery, First Affiliated Hospital of Nanchang University, 330006 Nanchang, China.
Sumeyye KocDepartment of Neuroscience, Institute of Health Sciences, Ondokuz Mayıs University, 55200 Samsun, Turkey.
Shizhong ZhangDepartment of Neurosurgery, Southern Medical University, 510280 Guangzhou, China.
Guohui LuDepartment of Neurosurgery, First Affiliated Hospital of Nanchang University, 330006 Nanchang, China.ORCID https://orcid.org/0000-0001-6713-0000
Thomas SkutellaDepartment of Neuroanatomy, Group for Regeneration and Reprogramming, Institute for Anatomy and Cell Biology, Medical Faculty, Heidelberg University, 69120 Heidelberg, Germany.ORCID https://orcid.org/0000-0003-4813-1213
Heidelberg University · DENanchang University · CNNanfang Hospital · CNOndokuz Mayıs University · TRSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is one of the most prevalent neurodegenerative disorders characterized by motor and nonmotor symptoms due to the selective loss of midbrain dopaminergic neurons. Pharmacological and surgical interventions have not been possible to cure PD; however, the cause of neurodegeneration remains unclear. Here, we performed and tested a multitiered bioinformatic analysis using the GEO and Proteinexchange database to investigate the gene expression involved in the pathogenesis of PD. Then we further validated individual differences in gene expression in whole blood samples that we collected in the clinic. We also made an interaction analysis and prediction for these genetic factors. There were in all 1045 genes expressing differently in PD compared with the healthy control group. Protein-protein interaction (PPI) networks showed 10 top hub genes: ACO2, MDH2, SDHA, ATP5A1, UQCRC2, PDHB, SUCLG1, NDUFS3, UQCRC1, and ATP5C1. We validated the ten hub gene expression in clinical PD patients and showed the expression of MDH2 was significantly different compared with healthy control. Besides, we also identified the expression of G6PD, GRID2, RIPK2, CUL4B, BCL6, MRPS31, GPI, and MAP 2 K1 were all significantly increased, and levels of MAPK, ELAVL1, RAB14, KLF9, ARF1, ARFGAP1, ATG7, ABCA7, SFT2D2, E2F2, MAPK7, and UHRF1 were all significantly decreased in PD. Among them, to our knowledge, we presently have the most recent and conclusive evidence that GRID2, RIPK2, CUL4B, E2F2, and ABCA7 are possible PD indicators. We confirmed several genetic factors which may be involved in the pathogenesis of PD. They could be promising markers for discriminating the PD and potential factors that may affect PD development.

Indexed as

Parkinson DiseaseCCAAT-Enhancer-Binding ProteinsCullin ProteinsDopaminergic NeuronsGTPase-Activating ProteinsHumansKruppel-Like Transcription FactorsMesencephalonMitogen-Activated Protein Kinase 7Protein Interaction Mapsrab GTP-Binding ProteinsUbiquitin-Protein LigasesARFGAP1 protein, humanCCAAT-Enhancer-Binding ProteinsCUL4B protein, humanCullin ProteinsGTPase-Activating ProteinsKLF9 protein, humanKruppel-Like Transcription FactorsMAPK7 protein, humanMitogen-Activated Protein Kinase 7Rab14 protein, humanrab GTP-Binding ProteinsUbiquitin-Protein LigasesUHRF1 protein, human

Identifiers

PMID36593912
PMCPMC9805394
OpenAlexW4312203426

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.