1
|
Guo N, Wang X, Xu M, Bai J, Yu H, Le Zhang. PI3K/AKT signaling pathway: Molecular mechanisms and therapeutic potential in depression. Pharmacol Res 2024; 206:107300. [PMID: 38992850 DOI: 10.1016/j.phrs.2024.107300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/03/2024] [Accepted: 07/05/2024] [Indexed: 07/13/2024]
Abstract
Depression is a serious global mental disorder. Numerous studies have found that depression may be closely related to decreased neurogenesis, neuroinflammation, neurotransmitter imbalance, and synaptic plasticity dysfunction. The pathogenesis of depression is complex and involves multiple signal transduction pathways and molecular changes. The PI3K/AKT pathway is an essential signaling pathways in neurons, which is widely expressed in emotion-related regions of the brain. Therefore, the PI3K/AKT pathway may play a moderating role in mood disorders. However, the role and mechanism of the PI3K/AKT signaling pathway in depression have not been fully described. This review systematically summarized the role of the PI3K/AKT signaling pathway in the pathogenesis of depression and discussed its potential in the treatment of depression. This will help in the treatment of depression and the development of antidepressants.
Collapse
Affiliation(s)
- Ningning Guo
- School of Mental Health, Jining Medical University, Jining, China
| | - Xin Wang
- Department of Radiation Therapy, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Muran Xu
- Clinical College, Jining Medical University, Jining, China
| | - Jie Bai
- Medical School, Kunming University of Science and Technology, Kunming, China.
| | - Hao Yu
- School of Mental Health, Jining Medical University, Jining, China.
| | - Le Zhang
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
| |
Collapse
|
2
|
Mei J, Wang Y, Song X, Xie XH, Wang G, Chen C, Chen G, Liu Z. The needle in the haystack: Identifying and validating common genes of depression, insomnia, and inflammation. J Affect Disord 2023; 342:45-53. [PMID: 37657625 DOI: 10.1016/j.jad.2023.08.127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 08/18/2023] [Accepted: 08/29/2023] [Indexed: 09/03/2023]
Abstract
BACKGROUND Insomnia, inflammation, and depression are often co-occurring conditions. The mechanisms underlying these conditions remain unclear. MATERIALS AND METHODS We collected microarray datasets of depression and insomnia from GEO and analyzed them for differentially expressed genes (DEGs). We then overlapped the DEGs with a list of inflammatory response-related genes to identify genes associated with all three conditions. We next performed analyses of enrichment analyses, KEGG mapping, and protein-protein interaction to identify hub genes. Furthermore, we established a depression rat model with inflammation and insomnia to validate the potential genes. At last, a two-sample Mendelian randomization (MR) study was conducted to confirm the association of identified target genes with depression outcomes. RESULTS We obtained 32 common DEGs associated with the depression, insomnia and inflammatory, and found that the PI3K-AKT signaling pathway might be involved in the inflammatory response in insomnia and depression. CREB1, CYBB, FYN, and CCR5 were identified as targets for the next validation. In model rats, the CCR5 and PI3K-AKT pathways were significantly up-regulated, while the model group exhibited significantly lower hippocampal p-CREB protein expression. The MR study suggested a potential causal relationship between CREB1 and the risk of depression (OR = 1.11, p = 0.013). LIMITATIONS The identified potential genes and pathways require further laboratory and clinical evidence verification. CONCLUSION We identified four potential inflammatory related-genes (CREB1, CYBB, FYN, and CCR5). CREB1 may be a potential inflammatory response-related biomarker and drug target for depression and insomnia, as validated by the followed rat model and MR study.
Collapse
Affiliation(s)
- Junhua Mei
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Rd, Wuhan 430060, China
| | - Ying Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Rd, Wuhan 430060, China
| | - Xinhua Song
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Rd, Wuhan 430060, China
| | - Xin-Hui Xie
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Rd, Wuhan 430060, China
| | - Guang Wang
- Department of Neurology, Wuhan First Hospital, Hubei University of Chinese Medicine, Wuhan, China
| | - Chao Chen
- Department of Neurology, Wuhan First Hospital, Hubei University of Chinese Medicine, Wuhan, China
| | - Guohua Chen
- Department of Neurology, Wuhan First Hospital, No. 215 Zhongshan Road, Wuhan 430022, China.
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Rd, Wuhan 430060, China; Taikang center for life and medical sciences, Wuhan University, Wuhan 430000, PR China.
| |
Collapse
|
3
|
Norkeviciene A, Gocentiene R, Sestokaite A, Sabaliauskaite R, Dabkeviciene D, Jarmalaite S, Bulotiene G. A Systematic Review of Candidate Genes for Major Depression. Medicina (B Aires) 2022; 58:medicina58020285. [PMID: 35208605 PMCID: PMC8875554 DOI: 10.3390/medicina58020285] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/07/2022] [Accepted: 02/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background and Objectives: The aim of this systematic review was to analyse which candidate genes were examined in genetic association studies and their association with major depressive disorder (MDD). Materials and Methods: We searched PUBMED for relevant studies published between 1 July 2012 and 31 March 2019, using combinations of keywords: “major depressive disorder” OR “major depression” AND “gene candidate”, “major depressive disorder” OR “major depression” AND “polymorphism”. Synthesis focused on assessing the likelihood of bias and investigating factors that may explain differences between the results of studies. For selected gene list after literature overview, functional enrichment analysis and gene ontology term enrichment analysis were conducted. Results: 141 studies were included in the qualitative review of gene association studies focusing on MDD. 86 studies declared significant results (p < 0.05) for 172 SNPs in 85 genes. The 13 SNPs associations were confirmed by at least two studies. The 18 genetic polymorphism associations were confirmed in both the previous and this systematic analysis by at least one study. The majority of the studies (68.79 %) did not use or describe power analysis, which may have had an impact over the significance of their results. Almost a third of studies (N = 54) were conducted in Chinese Han population. Conclusion: Unfortunately, there is still insufficient data on the links between genes and depression. Despite the reported genetic associations, most studies were lacking in statistical power analysis, research samples were small, and most gene polymorphisms have been confirmed in only one study. Further genetic research with larger research samples is needed to discern whether the relationship is random or causal. Summations: This systematic review had summarized all reported genetic associations and has highlighted the genetic associations that have been replicated. Limitations: Unfortunately, most gene polymorphisms have been confirmed only once, so further studies are warranted for replicating these genetic associations. In addition, most studies included a small number of MDD cases that could be indicative for false positive. Considering that polymorphism loci and associations with MDD is also vastly dependent on interpersonal variation, extensive studies of gene interaction pathways could provide more answers to the complexity of MDD.
Collapse
Affiliation(s)
- Audrone Norkeviciene
- Clinic of Psychiatry, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Ciurlionio Str. 21/27, LT-03101 Vilnius, Lithuania; (A.N.); (R.G.)
| | - Romena Gocentiene
- Clinic of Psychiatry, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Ciurlionio Str. 21/27, LT-03101 Vilnius, Lithuania; (A.N.); (R.G.)
| | - Agne Sestokaite
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Rasa Sabaliauskaite
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Daiva Dabkeviciene
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Sonata Jarmalaite
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Giedre Bulotiene
- Clinic of Psychiatry, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Ciurlionio Str. 21/27, LT-03101 Vilnius, Lithuania; (A.N.); (R.G.)
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
- Correspondence:
| |
Collapse
|
4
|
Papale LA, Li S, Madrid A, Zhang Q, Chen L, Chopra P, Jin P, Keleş S, Alisch RS. Sex-specific hippocampal 5-hydroxymethylcytosine is disrupted in response to acute stress. Neurobiol Dis 2016; 96:54-66. [PMID: 27576189 DOI: 10.1016/j.nbd.2016.08.014] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 08/18/2016] [Accepted: 08/23/2016] [Indexed: 01/18/2023] Open
Abstract
Environmental stress is among the most important contributors to increased susceptibility to develop psychiatric disorders. While it is well known that acute environmental stress alters gene expression, the molecular mechanisms underlying these changes remain largely unknown. 5-hydroxymethylcytosine (5hmC) is a novel environmentally sensitive epigenetic modification that is highly enriched in neurons and is associated with active neuronal transcription. Recently, we reported a genome-wide disruption of hippocampal 5hmC in male mice following acute stress that was correlated to altered transcript levels of genes in known stress related pathways. Since sex-specific endocrine mechanisms respond to environmental stimulus by altering the neuronal epigenome, we examined the genome-wide profile of hippocampal 5hmC in female mice following exposure to acute stress and identified 363 differentially hydroxymethylated regions (DhMRs) linked to known (e.g., Nr3c1 and Ntrk2) and potentially novel genes associated with stress response and psychiatric disorders. Integration of hippocampal expression data from the same female mice found stress-related hydroxymethylation correlated to altered transcript levels. Finally, characterization of stress-induced sex-specific 5hmC profiles in the hippocampus revealed 778 sex-specific acute stress-induced DhMRs some of which were correlated to altered transcript levels that produce sex-specific isoforms in response to stress. Together, the alterations in 5hmC presented here provide a possible molecular mechanism for the adaptive sex-specific response to stress that may augment the design of novel therapeutic agents that will have optimal effectiveness in each sex.
Collapse
Affiliation(s)
- Ligia A Papale
- Department of Psychiatry, University of Wisconsin, Madison, WI, USA
| | - Sisi Li
- Department of Psychiatry, University of Wisconsin, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin, Madison, WI, USA
| | - Andy Madrid
- Department of Psychiatry, University of Wisconsin, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin, Madison, WI, USA
| | - Qi Zhang
- Department of Statistics, University of Nebraska, Lincoln, NE, USA
| | - Li Chen
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Pankaj Chopra
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Peng Jin
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Sündüz Keleş
- Department of Statistics, Biostatistics, and Medical Informatics, University of Wisconsin, Madison, WI, USA
| | - Reid S Alisch
- Department of Psychiatry, University of Wisconsin, Madison, WI, USA.
| |
Collapse
|