ArticleInternational journal of molecular sciences2024
Identification of Oxidative Stress-Related Biomarkers for Pain-Depression Comorbidity Based on Bioinformatics.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- NADCdb: A Joint Transcriptomic Database for Non-AIDS-Defining Cancer Research in HIV-Positive Individuals.International journal of molecular sciences · 2026Article
- TLR4 and RB1 as the Identified Lactate-Related Genes to Predict the Diagnostic Performance, Gene Regulatory Network, and Targeting Drugs in Depression.Human mutation · 2026Article
- The association of pain phenotype and providing caregiving with depressive symptom trajectory for older adults: a longitudinal analysis using the health and retirement study.BMC geriatrics · 2025Article
- Identification of Novel Modifier Genes Associated With Pain in Cystic Fibrosis: An In Silico Gene Discovery.Human mutation · 2025Article
- Screening of antidepressant effective active components ofFrontiers in nutrition · 2025Article
- Integrating bioinformatics and molecular experiments to reveal the critical role of the cellular energy metabolism-related marker PLA2G1B in COPD epithelial cells.Frontiers in immunology · 2025Article
- Nrf2/HO-1-sulfiredoxin1 pathway involved in nanobubble hydrogen-dissolved water-mediated protective effects by ultrasound-guided early local injection in a rat model of chronic constriction injury-induced neuropathic pain.Frontiers in molecular neuroscience · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Oxidative stress has been identified as a major factor in the development and progression of pain and psychiatric disorders, but the underlying biomarkers and molecular signaling pathways remain unclear. This study aims to identify oxidative stress-related biomarkers and signaling pathways in pain-depression comorbidity. Integrated bioinformatics analyses were applied to identify key genes by comparing pain-depression comorbidity-related genes and oxidative stress-related genes. A total of 580 differentially expressed genes and 35 differentially expressed oxidative stress-related genes (DEOSGs) were identified. By using a weighted gene co-expression network analysis and a protein-protein interaction network, 43 key genes and 5 hub genes were screened out, respectively. DEOSGs were enriched in biological processes and signaling pathways related to oxidative stress and inflammation. The five hub genes, RNF24, MGAM, FOS, and TKT, were deemed potential diagnostic and prognostic markers for patients with pain-depression comorbidity. These genes may serve as valuable targets for further research and may aid in the development of early diagnosis, prevention strategies, and pharmacotherapy tools for this particular patient population.
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