Evidence map›Paper›PMID 37089789›Full record

ArticleParkinson's disease2023

Identification of Hub Genes and Potential Molecular Pathogenesis in Substantia Nigra in Parkinson's Disease via Bioinformatics Analysis.

Yunan Zhou, Zhihui Li, Chunling Chi, Chunmei Li, Meimei Yang, Bin Liu

Open access · goldAbstract read
In one paragraph

Article in Parkinson's disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 10 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

6 authors at 1 institution in 1 country.

Yunan ZhouDepartment of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin 150001, China.ORCID https://orcid.org/0009-0006-5581-8856
Zhihui LiDepartment of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin 150001, China.ORCID https://orcid.org/0000-0002-6774-4755
Chunling ChiDepartment of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin 150001, China.ORCID https://orcid.org/0009-0002-2006-7053
Chunmei LiDepartment of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin 150001, China.ORCID https://orcid.org/0009-0002-8212-9504
Meimei YangDepartment of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin 150001, China.ORCID https://orcid.org/0009-0006-8742-7550
Bin LiuDepartment of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin 150001, China.ORCID https://orcid.org/0000-0002-1418-0124
Harbin Medical University · CN

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, with significant socioeconomic burdens. One of the crucial pathological features of PD is the loss of dopaminergic neurons in the substantia nigra (SN). However, the exact pathogenesis remains unknown. Moreover, therapies to prevent neurodegenerative progress are still being explored. We performed bioinformatics analysis to identify candidate genes and molecular pathogenesis in the SN of patients with PD. We analyzed the expression profiles, GSE49036 and GSE7621, which included 31 SN tissues in PD samples and 17 SN tissues in healthy control samples, and identified 86 common differentially expressed genes (DEGs). Then, GO and KEGG pathway analyses of the identified DEGs were performed to understand the biological processes and significant pathways of PD. Subsequently, a protein-protein interaction network was established, with 15 hub genes and four key modules which were screened in this network. The expression profiles, GSE8397 and GSE42966, were used to verify these hub genes. We demonstrated a decrease in the expression levels of 14 hub genes in the SN tissues of PD samples. Our results indicated that, among the 14 hub genes, DRD2, SLC18A2, and SLC6A3 may participate in the pathogenesis of PD by influencing the function of the dopaminergic synapse. CACNA1E, KCNJ6, and KCNB1 may affect the function of the dopaminergic synapse by regulating ion transmembrane transport. Moreover, we identified eight microRNAs (miRNAs) that can regulate the hub genes and 339 transcription factors (TFs) targeting these hub genes and miRNAs. Subsequently, we established an mTF-miRNA-gene-gTF regulatory network. Together, the identification of DEGs, hub genes, miRNAs, and TFs could provide better insights into the pathogenesis of PD and contribute to the diagnosis and therapies.

Identifiers

PMID37089789
PMCPMC10121343
OpenAlexW4365503168

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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.