Evidence map›Paper›PMID 38765844›Full record

ArticlePsychiatry and clinical psychopharmacology2023

Identification and Analyses of Crucial Genes Associated with Pathogenesis of Major Depressive Disorder.

Jiao Li, Qing Ma, Ming Ai

Abstract read
In one paragraph

Article in Psychiatry and clinical psychopharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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.

Jiao LiDepartment of the First Clinical Medicine, Chongqing Medical University, Chongqing, China.ORCID 0000-0001-5124-840X
Qing MaDepartment of Pharmacy Practice, University at Buffalo, Buffalo, New York, USA.ORCID 0000-0003-0123-9913
Ming AiDepartment of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0001-7876-3241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Major depressive disorder is a debilitating mental condition that causes severe disability leading to a high fatality rate. No valid blood-based biomarkers for major depressive disorder are currently available. The purpose of this research is to investigate gene biomarkers and pathways that may be linked to major depressive disorder pathogenesis. Methods: Two microarray databases were retrieved from Gene Expression Omnibus for screening of candidate differentially expressed genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed followed by protein-protein interaction network of differentially expressed genes. Results: About 1181 differentially expressed genes were identified from the microarray databases. Gene Ontology analyses indicated that these differentially expressed genes were significantly enriched in mRNA splicing via spliceosome, neutrophil degranulation, peptide antigen assembly with MHC class II protein complex, and immunoglobulin production-mediated immune response. The most enriched Kyoto Encyclopedia of Genes and Genomes pathway terms of the 10 significant were Hematopoietic cell lineage. About 20 genes were identified as hub genes after pathway analyses, mostly involved in colorectal cancer and the composition of ribosomes and protein processing, including KRAS, CD86, RPL9, RPL3, and RPL18. Conclusion: New candidate genes have been identified using bioinformatic approaches that suggest their involvement in the pathogenesis of major depressive disorder and serve as potential genetic diagnostic markers as well as new therapeutic targets.

Identifiers

PMID38765844
PMCPMC11037474

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