ArticleBrain and behavior2020
Analyzing the genes and pathways related to major depressive disorder via a systems biology approach.
Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- A Systematic Review of Candidate Genes for Major Depression.Medicina (Kaunas, Lithuania) · 2022Pooled it
- A Systematic Review of Circulatory microRNAs in Major Depressive Disorder: Potential Biomarkers for Disease Prognosis.International journal of molecular sciences · 2022Pooled it
- Regional cerebral blood flow correlates with transcriptional and cellular signatures in tinnitus.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Article
- Article
- Peripheral blood transcriptomic biomarkers for predicting antidepressant response in major depressive disorder.BMC psychiatry · 2026Article
- Chronic administration of isotretinoin induces depressive- and anxiety-like behaviors by altering the neuroactive ligand-receptor interaction pathway in adolescent mice.Translational psychiatry · 2025Article
- The Art of Nanoimmunobiotechnomedicine in Depression Management.Advanced pharmaceutical bulletin · 2025Review
- Depression Polygenicity and Disease Activity and Disability Worsening in Multiple Sclerosis.Annals of neurology · 2025Article
- Alterations in gray matter volume and associated transcriptomics after electroconvulsive therapy in major depressive disorder.Psychological medicine · 2025Article
- Multi-omics insight into the molecular networks of mental disorder related genetic pathways in the pathogenesis of inflammatory bowel disease.Translational psychiatry · 2025Article
- Identifying behavior regulatory leverage over mental disorders transcriptomic network hubs toward lifestyle-dependent psychiatric drugs repurposing.Human genomics · 2025Article
- Genome-wide association study of early-onset and late-onset postpartum depression: the IGEDEPP prospective study.European psychiatry : the journal of the Association of European Psychiatrists · 2024Article
- Chronic nicotine exposure induces molecular and transcriptomic endophenotypes associated with mood and anxiety disorders in a cerebral organoid neurodevelopmental model.Frontiers in pharmacology · 2024Article
- Pharmacological modulation of HIF-1 in the treatment of neuropsychiatric disorders.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- Addressing multi-site functional MRI heterogeneity through dual-expert collaborative learning for brain disease identification.Human brain mapping · 2023Article
- Gene Expression has Distinct Associations with Brain Structure and Function in Major Depressive Disorder.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification.Medical image analysis · 2023Article
- Morphometric similarity network alterations in COVID-19 survivors correlate with behavioral features and transcriptional signatures.NeuroImage. Clinical · 2023Article
- Transcriptomic and Macroscopic Architectures of Multimodal Covariance Network Reveal Molecular-Structural-Functional Co-alterations.Research (Washington, D.C.) · 2023Article
- Identifying Antidepressant Effects of Brain-Derived Neurotrophic Factor and IDO1 in the Mouse Model Based on RNA-Seq Data.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
introductionMajor depressive disorder (MDD) is a mental disorder caused by the combination of genetic, environmental, and psychological factors. Over the years, a number of genes potentially associated with MDD have been identified. However, in many cases, the role of these genes and their relationship in the etiology and development of MDD remains unclear. Under such situation, a systems biology approach focusing on the function correlation and interaction of the candidate genes in the context of MDD will provide useful information on exploring the molecular mechanisms underlying the disease.
methodsWe collected genes potentially related to MDD by screening the human genetic studies deposited in PubMed (https://www.ncbi.nlm.nih.gov/pubmed). The main biological themes within the genes were explored by function and pathway enrichment analysis. Then, the interaction of genes was analyzed in the context of protein-protein interaction network and a MDD-specific network was built by Steiner minimal tree algorithm.
resultsWe collected 255 candidate genes reported to be associated with MDD from available publications. Functional analysis revealed that biological processes and biochemical pathways related to neuronal development, endocrine, cell growth and/or survivals, and immunology were enriched in these genes. The pathways could be largely grouped into three modules involved in biological procedures related to nervous system, the immune system, and the endocrine system, respectively. From the MDD-specific network, 35 novel genes potentially associated with the disease were identified.
conclusionBy means of network- and pathway-based methods, we explored the molecular mechanism underlying the pathogenesis of MDD at a systems biology level. Results from our work could provide valuable clues for understanding the molecular features of MDD.
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