ArticleAging2022
Effective biomarkers and therapeutic targets of nerve-immunity interaction in the treatment of depression: an integrated investigation of the miRNA-mRNA regulatory networks.
Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 36 citations in OpenAlex.
- Integrative methylation and miRNA dysregulation in dlPFC reveal distinct molecular signatures of suicide and non-suicide subtypes in major depressive disorder.Psychiatry and clinical neurosciences · 2026Article
- Integrative analysis via bioinformatics and machine learning identifies SERPING1 as a biomarker candidate for major depressive disorder.BMC psychiatry · 2026Article
- Homocysteine as a biomarker in arthritis and depression: Evidence from NHANES and gene expression studies.SAGE open medicine · 2026Article
- Parkinson's disease: an integrative bioinformatics and machine learning analysis reveals tryptophan metabolism-associated gene biomarkers.BMC neurology · 2025Article
- Nanotechnology-Enhanced MicroRNAs for Improved Diagnosis and Treatment of Major Depressive Disorder: A Comprehensive Review.Molecular neurobiology · 2025Review
- Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome.Molecular psychiatry · 2025Article
- Pharmacological evaluation of physcion as a TRPV1 inhibitor with multimodal analgesic efficacy in experimental pain models.Biological research · 2025Article
- An integrated bioinformatics and machine learning approach to identifying biomarkers connecting parkinson's disease with purine metabolism-related genes.BMC neurology · 2025Article
- Psychological stress disturbs bone metabolism via miR-335-3p/Fos signaling in osteoclast.eLife · 2025Article
- Identification and evaluation of a pinocembrin analog as a TRPV1 inhibitor with analgesic properties in murine pain models.Frontiers in pharmacology · 2025Article
- Identification of Potential Biomarkers for Major Depressive Disorder: Based on Integrated Bioinformatics and Clinical Validation.Molecular neurobiology · 2024Article
- PRKCB methylation: a potential biomarker of MDD with childhood chronic stress, a cross-sectional study in drug-naive, first-episode adolescent MDD.Epigenetics · 2024Observational
- Article
- Deciphering the role of miRNA-134 in the pathophysiology of depression: A comprehensive review.Heliyon · 2024Review
- Identification of molecular targets of Hypericum perforatum in blood for major depressive disorder: a machine-learning pharmacological study.Chinese medicine · 2024Article
- Evidence for the Contribution of the miR-206/BDNF Pathway in the Pathophysiology of Depression.The international journal of neuropsychopharmacology · 2024Review
- Employing a synergistic bioinformatics and machine learning framework to elucidate biomarkers associating asthma with pyrimidine metabolism genes.Respiratory research · 2024Article
- Breed-Related Differential microRNA Expression and Analysis of Colostrum and Mature Milk Exosomes in Bamei and Landrace Pigs.International journal of molecular sciences · 2024Article
- miR-26a is a Key Therapeutic Target with Enormous Potential in the Diagnosis and Prognosis of Human Disease.Current medicinal chemistry · 2024Review
- Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential.Signal transduction and targeted therapy · 2023Review
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMajor depressive disorder (MDD) is an emotional condition that interferes with sufferers' work and daily life. Numerous studies have found that miRNAs play a significant role in the development of MDD and can be utilized as a biomarker for its diagnosis and therapy. However, there have been few studies on nerve-immunity interaction treatment for the brains of MMD patients.
methodsThe work is performed on microarray data. We analyzed the differences of miRNAs (GSE58105, GSE81152, GSE152267, and GSE182194) and mRNA (GSE19738, GSE32280, GSE44593, GSE53987, and GSE98793) in MDD and healthy samples from GEO datasets. FunRich was used to predict the transcription factors and target genes of the miRNAs, and TF and GO enrichment analyses were performed. Then, by comparing the differential expression of the anticipated target genes and five mRNAs, intersecting mRNAs were discovered. The intersecting genes were submitted to GO and KEGG analyses to determine their functions. These intersecting potential genes and pathways that linked to MDD in neurological and immunological aspects have been identified for future investigation.
resultsWe discovered five hub genes: KCND2, MYT1L, GJA1, CHL1, and SNAP25, which were all up-regulated genes. However, in MMD, the equivalent miRNAs, hsa-miR-206 and hsa-miR-338-3p, were both down-regulated. These miRNAs can activate or inhibit the T cell receptor signal pathway, JAK-STAT and other signal pathways, govern immune-inflammatory response, neuronal remodeling, and mediate the onset and development of MMD Conclusions: The results of a thorough bioinformatics investigation of miRNAs and mRNAs in MDD showed that miR-338-3P and miR-206 might be effective biomarkers and possible therapeutic targets for the treatment of MDD via nerve-immunity interaction.
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