ArticleAnnals of translational medicine2022
Molecular mechanism and candidate biomarkers of morphine for analgesia and addiction effects.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Transcriptional Reprogramming of GPCR Signaling Pathways in the Frontal Cortex of Morphine Dependent Mice.Biomolecules & therapeutics · 2026Article
- A Review and Experimental Analysis of Supervised Learning Systems and Methods for Protein-Protein Interaction Detection.International journal of molecular sciences · 2026Review
- Involvement of CXCL12/CXCR4 in CB2 receptor agonist-attenuated morphine tolerance in Walker 256 tumor-bearing rats with cancer pain.European journal of medical research · 2024Article
- RNA-Seq Analysis of Morphine-Induced Gene Expression Changes in the Mouse Nucleus Accumbens.Iranian journal of pharmaceutical research : IJPRArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Morphine and its substitutes are frequently used in the clinical treatment of acute severe pain and advanced cancer patients. Long-term irregular use of morphine will lead to severe dependence. However, the genes behind the analgesic and addictive effects of morphine still need to be revealed. Methods: We retrieved and downloaded RNA expression data sets related to morphine pain and addiction effects from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes. Functional enrichment analysis was performed to analyze relevant pathways. Gene expression trends was used to screen key genes associated with addiction effects. miRNAs and PPIs were used to explore the functional mechanisms of genes. Results: A total of 163 up-regulated and 277 down-regulated genes were obtained in the dataset for analgesic effects. A total of 1,482 up-regulated and 1,754 down-regulated differentially expressed genes (DEGs) were obtained in the dataset for addictive effects. By taking the intersection, 8 up-regulated and 22 down-regulated mRNAs which showed high correlations with both analgesic and addictive effects were identified. Based on the DEGs, a comprehensive network combining the mRNA-miRNA network and protein-protein interaction (PPI) network was established. Among the networks, 1 up-regulated miRNA (miR-129) and 3 down-regulated miRNAs (miR-714, miR-2135, and miR-2145) were identified. Gene expression trends and Kyoto Encyclopedia of Genes and Genomes (KEGG) terms indicated that Fos may be a biomarker for morphine addiction. Conclusions: Our findings will provide a valuable foundation for future genetic mechanism studies of the analgesic and addictive effects of morphine and provide inspiration for finding analgesic substitutes and relieving the addiction of analgesic drugs.
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Registered trials
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 Socratic graph.