ArticleScientific reports2018
Analyzing the genes related to nicotine addiction or schizophrenia via a pathway and network based approach.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Coptidis Rhizoma for Obesity, Diabetes, and Dyslipidemia: An Integrated Meta-Analysis and In Silico Study.International journal of molecular sciences · 2026Pooled it
- Microfluidic low-input profiling reveals lncRNA roles in disease.bioRxiv : the preprint server for biology · 2026Article
- Externalizing as a common genetic influence for a broad spectrum of substance use and behavioral conditions: A developmental perspective from the Avon Longitudinal Study of Parents and Children.Addiction (Abingdon, England) · 2025Article
- Effects of positive mGlu5 modulation on DJournal of psychopharmacology (Oxford, England) · 2025Article
- Identification of key genes and pathways in schizophrenia: a bioinformatics analysis based on GWAS and GEO.Frontiers in psychiatry · 2025Article
- Differential Expression of miR-26b-5p, EGR1, and STAT1 in Peripheral Blood of Schizophrenia Patients.Psychiatry and clinical psychopharmacology · 2024Article
- Nicotine Impairs Smooth Muscle cAMP Signaling and Vascular Reactivity.Microcirculation (New York, N.Y. : 1994) · 2024Article
- Synaptic Structure and Transcriptomic Profiling of Reward and Sensory Brain Areas in Male Mice of Fentanyl Addiction.Substance abuse and rehabilitation · 2024Article
- Potential Schizophrenia Disease-Related Genes Prediction Using Metagraph Representations Based on a Protein-Protein Interaction Keyword Network: Framework Development and Validation.JMIR formative research · 2023Article
- Low Dopamine D2 Receptor Expression Drives Gene Networks Related to GABA, cAMP, Growth and Neuroinflammation in Striatal Indirect Pathway Neurons.Biological psychiatry global open science · 2023Article
- Hippocampal Changes Elicited by Metabolic and Inflammatory Stressors following Prenatal Maternal Infection.Genes · 2022Article
- Demographics, clinical characteristics and cognitive symptoms of heavy smokers and non-heavy smokers in Chinese male patients with chronic schizophrenia.European archives of psychiatry and clinical neuroscience · 2022Article
- Development of a platform to investigate long-term potentiation in human iPSC-derived neuronal networks.Stem cell reports · 2022Article
- Review
- The Association between Lifestyle Choices and Schizophrenia Symptoms.Journal of clinical medicine · 2021Article
- Multifactorial Etiology of Adolescent Nicotine Addiction: A Review of the Neurobiology of Nicotine Addiction and Its Implications for Smoking Cessation Pharmacotherapy.Frontiers in public health · 2021Review
- Article
- Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses.BMC bioinformatics · 2020Article
- Article
- Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prevalence of tobacco use in people with schizophrenia is much higher than in general population, which indicates a close relationship between nicotine addiction and schizophrenia. However, the molecular mechanism underlying the high comorbidity of tobacco smoking and schizophrenia remains largely unclear. In this study, we conducted a pathway and network analysis on the genes potentially associated with nicotine addiction or schizophrenia to reveal the functional feature of these genes and their interactions. Of the 276 genes associated with nicotine addiction and 331 genes associated with schizophrenia, 52 genes were shared. From these genes, 12 significantly enriched pathways associated with both diseases were identified. These pathways included those related to synapse function and signaling transduction, and drug addiction. Further, we constructed a nicotine addiction-specific and schizophrenia-specific sub-network, identifying 11 novel candidate genes potentially associated with the two diseases. Finally, we built a schematic molecular network for nicotine addiction and schizophrenia based on the results of pathway and network analysis, providing a systematic view to understand the relationship between these two disorders. Our results illustrated that the biological processes underlying the comorbidity of nicotine addiction and schizophrenia was complex, and was likely induced by the dysfunction of multiple molecules and pathways.
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