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Sun Y, Geng S, Fu C, Song X, Lin H, Xu Y. Causal relationship between affect disorders and endometrial cancer: a Mendelian randomisation study. J OBSTET GYNAECOL 2024; 44:2321321. [PMID: 38425012 DOI: 10.1080/01443615.2024.2321321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/10/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND The aim was to assess the causal relationship between depression and anxiety disorders and endometrial cancer. METHOD We performed two-sample Mendelian randomisation analysis using summary statistics from genome-wide association studies to assess associations of major depressive disorder, anxiety and stress-related disorders with endometrial cancer. The genome-wide association studies(GWASs) data were derived from participants of predominantly European ancestry included in the Genome-wide Association Research Collaboration. Inverse variance-weighted, MR-Egger and weighted median MR analyses were performed, together with a range of sensitivity analyses. RESULTS Mendelian randomisation analysis showed no statistically significant genetic responsibility effect of anxiety and stress-related disorders on any pathological type of endometrial cancer. Only the effect of major depressive disorder under the inverse variance weighting method increasing the risk of endometrial endometrial cancer (effect 0.004 p = 0.047) and the effect of major depressive disorder under the MR-Egger method decreasing endometrial cancer of all pathology types (effect -0.691 p = 0.015) were statistically significant. Other Mendelian randomisation analyses did not show a statistically significant effect. CONCLUSION Major depressive disorder(MDD), anxiety and stress-related disorders(ASRD) are not genetically responsible for endometrial cancer. We consider that emotional disorders may affect endometrial cancer indirectly by affecting body mass index. This study provides us with new insights to better understand the aetiology of endometrial cancer and inform prevention strategies.
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Affiliation(s)
- Yewu Sun
- Department of Gynaecology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Shuo Geng
- Department of Clinical Psychology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Chunmeng Fu
- Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiaoyan Song
- Department of Gynaecology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Hua Lin
- Department of Endocrinology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yidan Xu
- Department of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao, China
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Ren S, Peng H, Zhang J, Yang J, He Y, Sun Z, Wang G. A genome-wide association study of escitalopram treatment outcomes in patients with major depressive disorder. Gene 2024; 926:148596. [PMID: 38782219 DOI: 10.1016/j.gene.2024.148596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 05/10/2024] [Accepted: 05/20/2024] [Indexed: 05/25/2024]
Abstract
Major depressive disorder (MDD) is a common psychological condition, the consequences of which, such as suicide, can be severe. Escitalopram, a selective serotonin reuptake inhibitor, is a commonly used antidepressant in clinics. However, more than one-third of patients with MDD do not respond to this drug. Gene polymorphism may affect the efficacy of escitalopram, but the genetic architecture of the antidepressant response in patients with MDD remains unclear. We perform a genome-wide association study (GWAS) of the genetic effect on the outcome of escitalopram in patients with MDD. A total of 203 patients with MDD and 176 healthy control (HC) adults were recruited from Beijing Anding Hospital. Patients received 12 weeks of antidepressant treatment with escitalopram. The Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR) or Hamilton depression scale (HAMD) were used to evaluate the severity of depression symptoms at the baseline and the end of 2 and 12 weeks of treatment. A total of 140 variants in MDD patients were identified by GWAS to have genome-wide significance (p < 5e - 8) compared with HCs. Similarly, 189 and 18 variants were identified to be associated with QIDS-SR and HAMD score changes in patients after antidepressant treatment (p < 1e - 5), including rs12602361, rs72799048, rs16842235, and rs2518256. In the two weeks QIDS-SR score study, the gene-level association for these variants and gene set enrichment analyses implicate the enrichment of genes involved in the synaptic plasticity process and nervous system development. Our results implicate the predictive capacity of the effect of escitalopram treatment, supporting a link between genetic basis and remission of depression.
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Affiliation(s)
- Siyu Ren
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - He Peng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Department of Computational Biology for Individualised Medicine, Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH). Hannover, Germany; TWINCORE, a joint venture between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany
| | - Jinniu Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Jian Yang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yi He
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Zuoli Sun
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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Wang B, Xiong Y, Li R, Zhang S. Depression increases the risk of gallstone: A cross-sectional study and Mendelian randomization analysis. J Affect Disord 2024; 362:606-614. [PMID: 39029662 DOI: 10.1016/j.jad.2024.07.119] [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: 02/01/2024] [Revised: 06/28/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Gallstone, a common digestive disorder, poses a significant public health burden. Concurrently, depression is acknowledged as a health risk. However, limited information exists on depression's impact on gallstone formation. This study investigates depression's causal effect on gallstone risk. METHODS Using National Health and Nutrition Examination Survey (NHANES) data, we conducted an observational study. The severity of depression was assessed using the Patient Health Questionnaire-9 (PHQ-9). Multivariable logistic regression and subgroup analyses explored the correlation between depression and gallstone risk. Mendelian Randomization (MR) analysis, leveraging Genome-Wide Association Studies (GWAS) data, reduced observational bias and elucidated causality. Inverse Variance Weighting (IVW) was the primary method, with sensitivity analyses validating results. RESULTS In the observational study (7707 participants), gallstone risk was elevated in mild (OR: 1.58, 95 % CI 1.31-1.90, P < 0.001), moderate (OR: 2.07, 95 % CI 1.59-2.67, P < 0.001), and severe (OR: 2.41, 95 % CI 1.70-3.34, P < 0.001) depression groups (P for trend <0.001). Subgroup analyses revealed a stronger association in those under 65, females, non-Hispanic Black, individuals with obesity, smokers, and those with college education or higher. Mendelian Randomization indicated a causal link between genetically predicted depression and higher cholelithiasis risk (OR: 2.06, 95 % CI 1.34-3.17, P = 0.001), validated through sensitivity analyses and multi-cohort verification. CONCLUSION Depression independently increases gallstone risk, particularly in those under 65, females, non-Hispanic Black, individuals with obesity, smokers, and those with college education or higher. Further validation is needed through multi-center, prospective cohort studies.
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Affiliation(s)
- Bo Wang
- Department of Geriatric Digestive Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yongqiang Xiong
- Department of Geriatric Digestive Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ren Li
- Department of Geriatric Digestive Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shu Zhang
- Department of Geriatric Digestive Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Experimental Teaching Center for Clinical Skills, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
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Wang R, Su Y, O'Donnell K, Caron J, Meaney M, Meng X, Li Y. Differential interactions between gene expressions and stressors across the lifespan in major depressive disorder. J Affect Disord 2024; 362:688-697. [PMID: 39029669 DOI: 10.1016/j.jad.2024.07.069] [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: 01/24/2024] [Revised: 07/05/2024] [Accepted: 07/14/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Both genetic predispositions and exposures to stressors have collectively contributed to the development of major depressive disorder (MDD). To deep dive into their roles in MDD, our study aimed to examine which susceptible gene expression interacts with various dimensions of stressors in the MDD risk among a large population cohort. METHODS Data analyzed were from a longitudinal community-based cohort from Southwest Montreal, Canada (N = 1083). Latent profile models were used to identify distinct patterns of stressors for the study cohort. A transcriptome-wide association study (TWAS) method was performed to examine the interactive effects of three dimensions of stressors (threat, deprivation, and cumulative lifetime stress) and gene expression on the MDD risk in a total of 48 tissues from GTEx. Additional analyses were also conducted to further explore and specify these associations including colocalization, and fine-mapping analyses, in addition to enrichment analysis investigations based on TWAS. RESULTS We identified 3321 genes linked to MDD at the nominal p-value <0.05 and found that different patterns of stressors can amplify the genetic susceptibility to MDD. We also observed specific genes and pathways that interacted with deprivation and cumulative lifetime stressors, particularly in specific brain tissues including basal ganglia, prefrontal cortex, brain amygdala, brain cerebellum, brain cortex, and the whole blood. Colocalization analysis also identified these genes as having a high probability of sharing MDD causal variants. LIMITATIONS The study cohort was composed exclusively of individuals of Caucasians, which restricts the generalizability of the findings to other ethnic population groups. CONCLUSIONS The findings of the study unveiled significant interactions between potential tissue-specific gene expression × stressors in the MDD risk and shed light on the intricate etiological attributes of gene expression and specific stressors across the lifespan in MDD. These genetic and environmental attributes in MDD corroborate the vulnerability-stress theory and direct future stress research to have a closer examination of genetic predisposition and potential involvements of omics studies to specify the intricate relationships between genes and stressful environments.
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Affiliation(s)
- Ruiyang Wang
- Department of Financial and Risk Engineering, New York University, NY, NYC, USA; Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada
| | - Yingying Su
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Kieran O'Donnell
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada; Yale Child Study Center, Department of Obstetrics Gynecology & Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, CT, USA; Child & Brain Development Program, CIFAR, Toronto, ON, Canada
| | - Jean Caron
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada
| | - Michael Meaney
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada
| | - Xiangfei Meng
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada.
| | - Yue Li
- School of Computer Science, McGill University, Montreal, QC, Canada.
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Zhang Y, Wang SW, Ding J, Wen X, Li T, Yang L, Peng J, Dong Y, Mi W, Gao Y, Sun G. Causal role of immune cells in major depressive disorder and bipolar disorder: Mendelian randomization (MR) study. J Affect Disord 2024; 361:165-171. [PMID: 38838789 DOI: 10.1016/j.jad.2024.05.106] [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: 04/06/2024] [Revised: 05/19/2024] [Accepted: 05/21/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) and bipolar disorder (BD) are prevalent psychiatric conditions linked to inflammatory processes. However, it is unclear whether associations of immune cells with these disorders are likely to be causal. METHODS We used two-sample Mendelian randomization (MR) approach to investigate the relationship between 731 immune cells and the risk of MDD and BD. Rigorous sensitivity analyses are conducted to assess the reliability, heterogeneity, and horizontal pleiotropy of the findings. RESULTS Genetically-predicted CD27 on IgD+ CD38- unswitched memory B cell (inverse variance weighting (IVW): odds ratio (OR) [95 %]: 1.017 [1.007 to 1.027], p = 0.001), CD27 on IgD+ CD24+ B cell (IVW: OR [95 %]: 1.021 [1.011 to 1.031], p = 4.821E-05) and other 12 immune cells were associated with increased risk of MDD in MR, while HLA DR++ monocyte %leukocyte (IVW: OR [95 %]: 0.973 [0.948 to 0.998], p = 0.038), CD4 on Central Memory CD4+ T cell (IVW: OR [95 %]: 0.979 [0.963 to 0.995], p = 0.011) and other 13 immune cells were associated with decreased risk of MDD in MR. Additionally, CD33+ HLA DR+ Absolute Count (IVW: OR [95 %]: 1.022[1.007 to 1.036], p = 0.007), CD28+ CD45RA- CD8+ T cell %T cell (IVW: OR [95 %]: 1.024 [1.008 to 1.041], p = 0.004) and other 18 immune cells were associated with increased risk of BD in MR, while CD62L on CD62L+ myeloid Dendritic Cell (IVW: OR [95 %]: 0.926 [0.871 to 0.985], p = 0.014), IgD- CD27- B cell %lymphocyte (IVW: OR [95 %]: 0.918 [0.880 to 0.956], p = 4.654E-05) and other 13 immune cells were associated with decreased risk of BD in MR. CONCLUSIONS This MR study provides robust evidence supporting a causal relationship between immune cells and the susceptibility to MDD and BD, offering valuable insights for future clinical investigations. Experimental studies are also required to further examine causality, mechanisms, and treatment potential for these immune cells for MDD and BD.
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Affiliation(s)
- Yi Zhang
- Department of Psychiatry, Binzhou Medical University Hospital, Binzhou, China; Department of Psychiatry, Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, 430063, China
| | - San-Wang Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China; Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Jiahao Ding
- Shandong First Medical University (Shandong Academy Of Medical Sciences) No. 6699, Qingdao Road, Huaiyin District, Jinan City, Shandong Province, China
| | - Xin Wen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Tingting Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Lu Yang
- Department of Psychiatry, Binzhou Medical University Hospital, Binzhou, China; Department of Psychiatry, Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, 430063, China
| | - Jintao Peng
- Department of Psychiatry, Binzhou Medical University Hospital, Binzhou, China; Department of Psychiatry, Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, 430063, China
| | - Yingying Dong
- Department of Psychiatry, Binzhou Medical University Hospital, Binzhou, China
| | - Weifeng Mi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
| | - Yujun Gao
- Clinical and Translational Sciences (CaTS) Lab, The Douglas Research Centre, McGill University, Montréal, Québec, Canada; Binzhou Medical University, Binzhou, China.
| | - Guizhi Sun
- Department of Psychiatry, Binzhou Medical University Hospital, Binzhou, China.
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Lv Z, Deng C. NSAID medication mediates the causal effect of genetically predicted major depressive disorder on falls: Evidence from a Mendelian randomization study. J Affect Disord 2024; 361:217-223. [PMID: 38876314 DOI: 10.1016/j.jad.2024.06.028] [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: 12/07/2023] [Revised: 05/27/2024] [Accepted: 06/11/2024] [Indexed: 06/16/2024]
Abstract
BACKGROUND Increasing evidence supports that depression including major depressive disorder (MDD) is associated with an increased risk of falls. However, some studies suggest no association between MDD and falls. Therefore, the specific causal relationship whereby MDD affects the risk of falls remains elusive, and the potential mediators are unclear. METHODS Summary-level data for MDD and falls were collected from the Genome-wide association studies (GWAS) in this study. Mendelian randomization (MR) and multivariable MR (MVMR) analyses were performed to evaluate the causal associations between MDD and falls. A Two-step MR analysis was employed to analyze the mediating effect of nonsteroidal anti-inflammatory drugs (NSAIDs) on the causal association between MDD and the risk of falls. RESULTS Using the inverse-variance weighted (IVW) method, genetically predicted MDD was associated with an increased risk of falls (β = 0.15, SE = 0.034; P = 1.61E-5). MVMR and two-step MR analyses demonstrated that MDD was a causal determinant of increased falls independent of body mass index (BMI), smoking initiation, and alcohol consumption and that this causal relationship was mediated by NSAID medication. LIMITATIONS Extracted GWAS summary statistics are from European ancestry. Stratified analyses by sex and age were not included in our study. Therefore, it is unclear whether the results are the same for other ethnic groups, genders, and ages. CONCLUSIONS Our results demonstrate that MDD is independently associated with an increased risk of falls, in which NSAIDs mediate the association. This study suggests that avoiding the use of NSAIDs may reduce the risk of falls in patients diagnosed with MDD.
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Affiliation(s)
- Zhengtao Lv
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Chunchu Deng
- Department of Rehabilitation Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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Zhang Z, Wang M, Gill D, Liu X, Zhu W. Association of Genetically Predicted Anxiety and Depression With Functional Outcome After Ischemic Stroke: A Mendelian Randomization Study. Neurology 2024; 103:e209776. [PMID: 39116372 DOI: 10.1212/wnl.0000000000209776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Anxiety and depression have implications for ischemic stroke recovery. This study explored the association of genetically predicted anxiety and depression with functional outcome after ischemic stroke using Mendelian randomization (MR) approach. METHODS Independent genetic variants associated with anxiety and depression at genome-wide significance level (p < 5 × 10-8) were obtained from large-scale genome-wide association studies (Nmax = 1,306,354). Genetic results of poststroke outcome were obtained from Genetics of Ischemic Stroke Functional Outcome meta-analysis (N = 6,021). Three months after ischemic stroke event, the functional outcome was appraised with the modified Rankin Scale (mRS) score, and a mRS >2 was defined as worse functional outcome. Odds ratios (ORs) and 95% CIs are reported for the association of genetically predicted anxiety and depression with functional outcome after ischemic stroke. The inverse-variance weighted method was adopted to pool estimates. Alternative MR methods such as the weighted median and MR using the Robust Adjusted Profile Score were used as sensitivity analyses. The intercept of MR-Egger regression was also adopted to assess pleiotropy. The heterogeneity among variants was assessed by I2 and Q statistics. RESULTS Genetic liability to depression was associated with worse functional outcome after stroke (mRS 3-6, OR 2.30; 95% CI 1.18-4.49, p = 0.015). Sensitivity analyses produced consistent results. The bidirectional MR analysis indicates that poststroke outcome did not influence liability to depression (OR 1.01, 95% CI 0.99-1.03; p = 0.436). By comparison, genetic liability to anxiety was not related with poststroke outcome (OR 1.03; 95% CI 0.71-1.50; p = 0.869). Analyses in models without adjustment for stroke severity also indicated that genetic liability to depression was related with poor functional outcome after ischemic stroke (OR 2.54; 95% CI 1.41-4.58; p = 0.002). No evidence of heterogeneity or directional pleiotropy was observed (p > 0.05). DISCUSSION Our MR study provides evidence to support detrimental effects of depression on ischemic stroke functional outcome. Future studies are warranted to explore whether clinical intervention on depression can ameliorate functional outcome after ischemic stroke.
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Affiliation(s)
- Zhizhong Zhang
- From the Department of Neurology (Z.Z., X.L., W.Z.), Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University; Department of Neurology (M.W.), The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Jiangsu, China; and Department of Epidemiology and Biostatistics (D.G.), School of Public Health, St Mary's Hospital, Imperial College London, United Kingdom
| | - Mengmeng Wang
- From the Department of Neurology (Z.Z., X.L., W.Z.), Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University; Department of Neurology (M.W.), The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Jiangsu, China; and Department of Epidemiology and Biostatistics (D.G.), School of Public Health, St Mary's Hospital, Imperial College London, United Kingdom
| | - Dipender Gill
- From the Department of Neurology (Z.Z., X.L., W.Z.), Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University; Department of Neurology (M.W.), The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Jiangsu, China; and Department of Epidemiology and Biostatistics (D.G.), School of Public Health, St Mary's Hospital, Imperial College London, United Kingdom
| | - Xinfeng Liu
- From the Department of Neurology (Z.Z., X.L., W.Z.), Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University; Department of Neurology (M.W.), The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Jiangsu, China; and Department of Epidemiology and Biostatistics (D.G.), School of Public Health, St Mary's Hospital, Imperial College London, United Kingdom
| | - Wusheng Zhu
- From the Department of Neurology (Z.Z., X.L., W.Z.), Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University; Department of Neurology (M.W.), The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Jiangsu, China; and Department of Epidemiology and Biostatistics (D.G.), School of Public Health, St Mary's Hospital, Imperial College London, United Kingdom
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Shaikh M, Doshi G. Epigenetic aging in major depressive disorder: Clocks, mechanisms and therapeutic perspectives. Eur J Pharmacol 2024; 978:176757. [PMID: 38897440 DOI: 10.1016/j.ejphar.2024.176757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 06/09/2024] [Accepted: 06/16/2024] [Indexed: 06/21/2024]
Abstract
Depression, a chronic mental disorder characterized by persistent sadness, loss of interest, and difficulty in daily tasks, impacts millions globally with varying treatment options. Antidepressants, despite their long half-life and minimal effectiveness, leave half of patients undertreated, highlighting the need for new therapies to enhance well-being. Epigenetics, which studies genetic changes in gene expression or cellular phenotype without altering the underlying Deoxyribonucleic Acid (DNA) sequence, is explored in this article. This article delves into the intricate relationship between epigenetic mechanisms and depression, shedding light on how environmental stressors, early-life adversity, and genetic predispositions shape gene expression patterns associated with depression. We have also discussed Histone Deacetylase (HDAC) inhibitors, which enhance cognitive function and mood regulation in depression. Non-coding RNAs, (ncRNAs) such as Long Non-Coding RNAs (lncRNAs) and micro RNA (miRNAs), are highlighted as potential biomarkers for detecting and monitoring major depressive disorder (MDD). This article also emphasizes the reversible nature of epigenetic modifications and their influence on neuronal growth processes, underscoring the dynamic interplay between genetics, environment, and epigenetics in depression development. It explores the therapeutic potential of targeting epigenetic pathways in treating clinical depression. Additionally, it examines clinical findings related to epigenetic clocks and their role in studying depression and biological aging.
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Affiliation(s)
- Muqtada Shaikh
- SVKM's Dr. Bhanuben Nanavati College of Pharmacy, Mumbai, 400 056, India
| | - Gaurav Doshi
- SVKM's Dr. Bhanuben Nanavati College of Pharmacy, Mumbai, 400 056, India.
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Banerjee P, Chau K, Kotla S, Davis EL, Turcios EB, Li S, Pengzhi Z, Wang G, Kolluru GK, Jain A, Cooke JP, Abe J, Le NT. A Potential Role for MAGI-1 in the Bi-Directional Relationship Between Major Depressive Disorder and Cardiovascular Disease. Curr Atheroscler Rep 2024; 26:463-483. [PMID: 38958925 DOI: 10.1007/s11883-024-01223-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2024] [Indexed: 07/04/2024]
Abstract
PURPOSE OF REVIEW Major Depressive Disorder (MDD) is characterized by persistent symptoms such as fatigue, loss of interest in activities, feelings of sadness and worthlessness. MDD often coexist with cardiovascular disease (CVD), yet the precise link between these conditions remains unclear. This review explores factors underlying the development of MDD and CVD, including genetic, epigenetic, platelet activation, inflammation, hypothalamic-pituitary-adrenal (HPA) axis activation, endothelial cell (EC) dysfunction, and blood-brain barrier (BBB) disruption. RECENT FINDINGS Single nucleotide polymorphisms (SNPs) in the membrane-associated guanylate kinase WW and PDZ domain-containing protein 1 (MAGI-1) are associated with neuroticism and psychiatric disorders including MDD. SNPs in MAGI-1 are also linked to chronic inflammatory disorders such as spontaneous glomerulosclerosis, celiac disease, ulcerative colitis, and Crohn's disease. Increased MAGI-1 expression has been observed in colonic epithelial samples from Crohn's disease and ulcerative colitis patients. MAGI-1 also plays a role in regulating EC activation and atherogenesis in mice and is essential for Influenza A virus (IAV) infection, endoplasmic reticulum stress-induced EC apoptosis, and thrombin-induced EC permeability. Despite being understudied in human disease; evidence suggests that MAGI-1 may play a role in linking CVD and MDD. Therefore, further investigation of MAG-1 could be warranted to elucidate its potential involvement in these conditions.
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Affiliation(s)
- Priyanka Banerjee
- Center for Cardiovascular Regeneration, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX, USA
- Medical Physiology, College of Medicine, Texas A&M Health Science Center, Bryan, TX, USA
| | - Khanh Chau
- Center for Cardiovascular Regeneration, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX, USA
| | - Sivareddy Kotla
- Department of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eleanor L Davis
- Center for Cardiovascular Regeneration, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX, USA
| | - Estefani Berrios Turcios
- Center for Cardiovascular Regeneration, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX, USA
| | - Shengyu Li
- Center for Cardiovascular Regeneration, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX, USA
| | - Zhang Pengzhi
- Center for Cardiovascular Regeneration, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX, USA
| | - Guangyu Wang
- Center for Cardiovascular Regeneration, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX, USA
| | | | - Abhishek Jain
- Center for Cardiovascular Regeneration, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX, USA
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, TX, USA
- Department of Medical Physiology, School of Medicine, Texas A&M Health Science Center, Bryan, USA
| | - John P Cooke
- Center for Cardiovascular Regeneration, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX, USA
| | - Junichi Abe
- Department of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nhat-Tu Le
- Center for Cardiovascular Regeneration, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX, USA.
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10
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Toseeb U, Vincent J, Asbury K. Genetic influences on sibling bullying and mental health difficulties. J Child Psychol Psychiatry 2024; 65:1165-1174. [PMID: 38333945 DOI: 10.1111/jcpp.13956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/20/2023] [Indexed: 02/10/2024]
Abstract
BACKGROUND Sibling bullying is associated with mental health difficulties; both in the short and long term. It is commonly assumed that sibling bullying leads to mental health difficulties but additional explanations for the relationship between the two are seldom investigated. METHODS To address this gap in knowledge, we used a genetically sensitive design with data from the Avon Longitudinal Study of Parents and Children (maximum N = 3,959, 53% female). At ages 11-13 years, individuals self-reported their involvement in sibling bullying, as a victim and perpetrator, and parents reported on their child's mental health difficulties. Polygenic scores, indices of genetic risk for psychiatric disorders (major depressive disorder and attention deficit hyperactivity disorder) were computed using children's genetic data. Regression and structural equation models were fitted to the data. RESULTS Sibling bullying, victimisation and perpetration, and polygenic scores both predicted mental health difficulties in an additive manner but there was no interaction between them. Polygenic scores for mental health difficulties were also associated with sibling bullying. CONCLUSIONS These findings suggest that sibling bullying, victimisation and perpetration, is associated with mental health difficulties, even after accounting for some genetic effects. Additionally, the relationship between sibling bullying and mental health difficulties may be, at least partly, due to shared genetic aetiology. One possibility is that genetic risk for mental health difficulties influences the onset of mental health difficulties which in turn make children more susceptible to sibling bullying.
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Affiliation(s)
- Umar Toseeb
- Department of Education, University of York, York, UK
| | - John Vincent
- Institute of Psychiatry Psychology and Neuroscience, Social Genetic and Developmental Psychiatry Centre, King's College London, London, UK
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11
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Miles AE, Rashid SS, Dos Santos FC, Clifford KP, Sibille E, Nikolova YS. Neurodevelopmental signature of a transcriptome-based polygenic risk score for depression. Psychiatry Res 2024; 339:116030. [PMID: 38909414 DOI: 10.1016/j.psychres.2024.116030] [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: 01/25/2024] [Revised: 05/31/2024] [Accepted: 06/12/2024] [Indexed: 06/25/2024]
Abstract
Disentangling the molecular underpinnings of major depressive disorder (MDD) is necessary for identifying new treatment and prevention targets. The functional impact of depression-related transcriptomic changes on the brain remains relatively unexplored. We recently developed a novel transcriptome-based polygenic risk score (tPRS) composed of genes transcriptionally altered in MDD. Here, we sought to investigate effects of tPRS on brain structure in a developmental cohort (Adolescent Brain Cognitive Development study; n = 5124; 2387 female) at baseline (9-10 years) and 2-year follow-up (11-12 years). We tested associations between tPRS and Freesurfer-derived measures of cortical thickness, cortical surface area, and subcortical volume. Across the whole sample, higher tPRS was significantly associated with thicker left posterior cingulate cortex at both baseline and 2-year follow-up. In females only, tPRS was associated with lower right hippocampal volume at baseline and 2-year follow-up, and lower right pallidal volume at baseline. Furthermore, regional subcortical volume significantly mediated an indirect effect of tPRS on depressive symptoms in females at both timepoints. Conversely, tPRS did not have significant effects on cortical surface area. These findings suggest the existence of a sex-specific neurodevelopmental signature associated with shifts towards a more depression-like brain transcriptome, and highlight novel pathways of developmentally mediated MDD risk.
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Affiliation(s)
- Amy E Miles
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Sarah S Rashid
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Fernanda C Dos Santos
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Kevan P Clifford
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Etienne Sibille
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Yuliya S Nikolova
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
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12
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Merner AR, Trotter PM, Ginn LA, Bach J, Freedberg KJ, Soda T, Storch EA, Pereira S, Lázaro-Muñoz G. Psychiatric polygenic risk scores: Experience, hope for utility, and concerns among child and adolescent psychiatrists. Psychiatry Res 2024; 339:116080. [PMID: 39002500 PMCID: PMC11321910 DOI: 10.1016/j.psychres.2024.116080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 06/26/2024] [Accepted: 07/05/2024] [Indexed: 07/15/2024]
Abstract
Recent advances in psychiatric genetics have enabled the use of polygenic risk scores (PRS) to estimate genetic risk for psychiatric disorders. However, the potential use of PRS in child and adolescent psychiatry has raised concerns. This study provides an in-depth examination of attitudes among child and adolescent psychiatrists (CAP) regarding the use of PRS in psychiatry. We conducted semi-structured interviews with U.S.-based CAP (n = 29) who possess expertise in genetics. The majority of CAP indicated that PRS have limited clinical utility in their current form and are not ready for clinical implementation. Most clinicians stated that nothing would motivate them to generate PRS at present; however, some exceptions were noted (e.g., parent/family request). Clinicians spoke to challenges related to ordering, interpreting, and explaining PRS to patients and families. CAP raised concerns regarding the potential for this information to be misinterpreted or misused by patients, families, clinicians, and outside entities such as insurance companies. Finally, some CAP noted that PRS may lead to increased stigmatization of psychiatric disorders, and at the extreme, could be used to support eugenics. As PRS testing increases, it will be critical to examine CAP and other stakeholders' views to ensure responsible implementation of this technology.
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Affiliation(s)
- Amanda R Merner
- Center for Bioethics, Harvard Medical School, Boston, MA 02115, United States
| | - Page M Trotter
- Center for Medical Ethics & Health Policy at Baylor College of Medicine, United States
| | - Lauren A Ginn
- Center for Medical Ethics & Health Policy at Baylor College of Medicine, United States; Department of Biosciences, Rice University, Houston, Texas, United States
| | - Jason Bach
- University of Pennsylvania Law School, Philadelphia, Pennsylvania, United States
| | | | - Takahiro Soda
- Department of Psychiatry, University of Florida, Gainesville, Florida, United States; Center for Autism and Neurodevelopment, University of Florida, Gainesville, Florida, United States
| | - Eric A Storch
- Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, Texas, United States
| | - Stacey Pereira
- Center for Medical Ethics & Health Policy at Baylor College of Medicine, United States
| | - Gabriel Lázaro-Muñoz
- Center for Bioethics, Harvard Medical School, Boston, MA 02115, United States; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States.
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13
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Chen Q, Gan D, Zhang Y, Yan R, Li B, Tang W, Han S, Gao Y. Causal relationship between neuroticism and frailty: A bidirectional Mendelian randomization study. J Affect Disord 2024; 360:71-78. [PMID: 38788854 DOI: 10.1016/j.jad.2024.05.105] [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: 04/01/2024] [Revised: 05/17/2024] [Accepted: 05/21/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Observational studies have shown that neuroticism is associated with frailty, but the causal relationship between them remains unclear. METHODS A two-sample Mendelian randomization (MR) study was conducted to explore the bidirectional causal relationship between neuroticism (n = 380,506 for the primary analysis, n = 79,004 for the validation) and frailty (n = 175,226) using publicly available genome-wide association study data. The inverse variance weighted (IVW), weighted median, and MR-Egger were used to obtain the causal estimates. Findings were verified through extensive sensitivity analyses and validated using another dataset. Multivariable MR (MVMR) analysis was performed to estimate the direct causal effects with adjustment of potential confounders. Two-step MR technique was then conducted to explore the mediators in the causal effects of neuroticism on frailty. RESULTS Genetically-predicted higher neuroticism score was significantly correlated with higher frailty index (IVW beta: 0.53, 95%CI: 0.48 to 0.59, P = 9.3E-83), and genetically-determined higher frailty index was significantly associated with higher neuroticism score (IVW beta: 0.28, 95%CI: 0.21 to 0.35, P = 1.3E-16). These results remained robust across sensitivity analyses and were reproducible using another dataset. The MVMR analysis indicated that the causal relationships remained significant after adjusting for the potential confounding factors. Mediation analysis revealed that depression, years of schooling, and smoking were significantly mediated the causal effects of neuroticism on frailty. CONCLUSIONS A bidirectional causal relationship existed between neuroticism and frailty. Our findings suggested that early intervention and behavioral changes might be helpful to reduce the neuroticism levels and prevent the development of frailty.
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Affiliation(s)
- Qingyan Chen
- The Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China; Zhejiang Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Senile Chronic Diseases, Department of Geriatrics, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Zhejiang 310006, China
| | - Da Gan
- Jiangxi Medicine Academy of Nutrition and Health Management, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
| | - Yingjuan Zhang
- Zhejiang Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Senile Chronic Diseases, Department of Geriatrics, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Zhejiang 310006, China
| | - Runlan Yan
- Zhejiang Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Senile Chronic Diseases, Department of Geriatrics, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Zhejiang 310006, China
| | - Bei Li
- Zhejiang Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Senile Chronic Diseases, Department of Geriatrics, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Zhejiang 310006, China
| | - Wenbin Tang
- The Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China
| | - Shuang Han
- Zhejiang Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Senile Chronic Diseases, Department of Geriatrics, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Zhejiang 310006, China; School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.
| | - Yue Gao
- Zhejiang Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Senile Chronic Diseases, Department of Geriatrics, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Zhejiang 310006, China.
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14
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Francia M, Bot M, Boltz T, De la Hoz JF, Boks M, Kahn RS, Ophoff RA. Fibroblasts as an in vitro model of circadian genetic and genomic studies. Mamm Genome 2024; 35:432-444. [PMID: 38960898 PMCID: PMC11329553 DOI: 10.1007/s00335-024-10050-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 06/25/2024] [Indexed: 07/05/2024]
Abstract
Bipolar disorder (BD) is a heritable disorder characterized by shifts in mood that manifest in manic or depressive episodes. Clinical studies have identified abnormalities of the circadian system in BD patients as a hallmark of underlying pathophysiology. Fibroblasts are a well-established in vitro model for measuring circadian patterns. We set out to examine the underlying genetic architecture of circadian rhythm in fibroblasts, with the goal to assess its contribution to the polygenic nature of BD disease risk. We collected, from primary cell lines of 6 healthy individuals, temporal genomic features over a 48 h period from transcriptomic data (RNA-seq) and open chromatin data (ATAC-seq). The RNA-seq data showed that only a limited number of genes, primarily the known core clock genes such as ARNTL, CRY1, PER3, NR1D2 and TEF display circadian patterns of expression consistently across cell cultures. The ATAC-seq data identified that distinct transcription factor families, like those with the basic helix-loop-helix motif, were associated with regions that were increasing in accessibility over time. Whereas known glucocorticoid receptor target motifs were identified in those regions that were decreasing in accessibility. Further evaluation of these regions using stratified linkage disequilibrium score regression analysis failed to identify a significant presence of them in the known genetic architecture of BD, and other psychiatric disorders or neurobehavioral traits in which the circadian rhythm is affected. In this study, we characterize the biological pathways that are activated in this in vitro circadian model, evaluating the relevance of these processes in the context of the genetic architecture of BD and other disorders, highlighting its limitations and future applications for circadian genomic studies.
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Affiliation(s)
- Marcelo Francia
- Interdepartmental Program for Neuroscience, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
| | - Merel Bot
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Toni Boltz
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Juan F De la Hoz
- Bioinformatics Interdepartamental Program, University of California Los Angeles, Los Angeles, CA, USA
| | - Marco Boks
- Department Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Roel A Ophoff
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
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15
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Ning B, Huang T, Liu Y, Wei Y. A depression-related lncRNA signature predicts the clinical outcome and immune characteristics of gastric cancer. Heliyon 2024; 10:e34399. [PMID: 39144985 PMCID: PMC11320146 DOI: 10.1016/j.heliyon.2024.e34399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 06/29/2024] [Accepted: 07/09/2024] [Indexed: 08/16/2024] Open
Abstract
Background Depression and long non-coding RNA (lncRNA) have been reported to be associated with tumor progression and prognosis in gastric cancer (GC). This study aims to build a GC risk classification and prognosis model based on depression-related lncRNAs (DRLs). Methods To develop a risk model, we performed univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses using RNA sequencing data of GC from The Cancer Genome Atlas (TCGA) and depression-related genes (DRGs) from previous studies. Kaplan-Meier analysis, receiver operating characteristic (ROC) curve analysis, nomogram construction, pathway enrichment analysis, assessment of immunological features, and drug sensitivity testing were conducted using a series of bioinformatics methods. Results Seven DRLs were identified to build a prognostic model, whose robustness was verified in an internal cohort. Subsequent prognostic analyses found that high risk scores were associated with worse overall survival (OS). Univariate and multivariate analyses revealed that the risk score could be used as an independent prognostic factor. Furthermore, the ROC curve indicated that the risk score had higher diagnostic efficiency than traditional clinicopathological features. The calibration curve confirmed the accuracy and reliability of the nomogram. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses showed that there were differences in digestive system and nervous system-related pathways between the high- and low-risk groups. Results of tumor mutational burden (TMB) and tumor immune dysfunction and exclusion (TIDE) analyses indicated that patients in the low-risk group had a better response rate to immunotherapy. Finally, the results of drug sensitivity analysis showed that risk score could influence sensitivity to EHT 1864 in GC. Conclusion We have successfully developed and verified a 7-DRL risk model which can assess the prognosis and immunological features and guide individualized therapy of GC patients.
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Affiliation(s)
- Biao Ning
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
- Hubei Key Laboratory of Tumor Biological Behaviors Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
- Hubei Cancer Clinical Study Center Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
| | - Tianhe Huang
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
- Hubei Key Laboratory of Tumor Biological Behaviors Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
- Hubei Cancer Clinical Study Center Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
| | - Yixin Liu
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
- Hubei Key Laboratory of Tumor Biological Behaviors Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
- Hubei Cancer Clinical Study Center Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
| | - Yongchang Wei
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
- Hubei Key Laboratory of Tumor Biological Behaviors Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
- Hubei Cancer Clinical Study Center Zhongnan Hospital of Wuhan University, 169, Donghu Road, Wuchang District, Wuhan, Hubei Province, 430071, China
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16
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Wu S, Yuan G, Wu L, Zou L, Wu F. Identifying the association between depression and constipation: An observational study and Mendelian randomization analysis. J Affect Disord 2024; 359:394-402. [PMID: 38806066 DOI: 10.1016/j.jad.2024.05.124] [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: 01/02/2024] [Revised: 05/23/2024] [Accepted: 05/24/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND Both depression and constipation are universal disorders that seriously affect quality of life. But the phenotypic relationship and causality between depression and constipation are still unclear. METHODS We first assessed phenotypic relationships by logistic regression analysis using large-scale data extracted from the National Health and Nutrition Examination Survey (N = 11,585). We then evaluated causality by bidirectional two-sample mendelian randomization (MR) analysis using Genome-wide association study (GWAS) data (depression: N = 807,553; constipation: N = 377,277). To investigate whether depression severity affects the causal relationship between depression and constipation, we conducted a further MR study on GWAS data of major depression (N = 480,359). RESULTS About 11.31 % of the participants in the constipation group suffered from depression, which was significantly higher than the normal bowel group (6.09 %). The observational study showed a positive correlation between depression and constipation (OR = 1.968, 95%CI = 1.530-2.532). Besides, the risk of constipation was higher in participants with severe depression (OR = 2.294, 95%CI = 1.538-3.422) than in participants with mild depression (OR = 1.549, 95%CI = 1.242-1.932). Bidirectional MR analysis revealed an obviously causal effect of depression on constipation, but no causal effect of constipation on depression. In addition, the MR analysis also revealed a causal relationship between major depression and constipation. LIMITATION The exact mechanism by which depression affects constipation is still unclear. CONCLUSION This study reveals a positive correlation between depression and constipation and the causal effect of depression on constipation. Clinicians should keep the risk of constipation in mind when treating patients with depression.
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Affiliation(s)
- Shasha Wu
- Department of Gastroenterology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China
| | - Guojun Yuan
- Department of Gastroenterology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China
| | - Linlin Wu
- Department of Psychosomatic diseases, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China
| | - Long Zou
- Department of Gastroenterology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China.
| | - Feixiang Wu
- Department of Urology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China.
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17
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Zhang X, Lu Q, Luo Y, Wang L, Tian Y, Luo X. The causal relationship between major depression disorder and thyroid diseases: A Mendelian randomization study and mediation analysis. J Affect Disord 2024; 359:287-299. [PMID: 38788859 DOI: 10.1016/j.jad.2024.05.097] [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: 11/02/2023] [Revised: 04/23/2024] [Accepted: 05/19/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Studies have been conducted on the relationship between depression and thyroid diseases and function, its causal relationship remains unclear. METHODS Using summary statistics of genome-wide association studies of European and East Asian ancestry, we conducted 2-sample bidirectional Mendelian randomization to estimate the association between MDD and thyroid function (European: normal range TSH, T4, T3, fT4, TPOAb levels and TPOAb-positives; East Asian: T4) and thyroid diseases (hypothyroidism, hyperthyroidism, and Hashimoto's thyroiditis), and used Mediation analysis to evaluate potential mediators (alcohol intake, antidepressant) of the association and calculate the mediated proportions. RESULTS It was observed a significant causal association between MDD on hypothyroidism (P = 8.94 × 10-5), hyperthyroidism (P = 8.68 × 10-3), and hashimoto's thyroiditis (P = 3.97 × 10-5) among European ancestry, which was mediated by Alcohol intake (alcohol intake versus 10 years previously for hypothyroidism (P = 0.026), hashimoto's thyroiditis (P = 0.042), and alcohol intake frequency for hypothyroidism (P = 0.015)) and antidepressant (for hypothyroidism (P = 0.008), hashimoto's thyroiditis (P = 0.010)), but not among East Asian ancestry (PMDD-hypothyroidism = 0.016, but β direction was different; PMDD-hyperthyroidism = 0.438; PMDD-hashimoto's thyroiditis = 0.496). There was no evidence for bidirectional causal association between thyroid function mentioned above and MDD among both ancestry (all P > 0.05). CONCLUSION We importantly observed a significant causal association between MDD on risk of hypothyroidism, hyperthyroidism, and hashimoto's thyroiditis among European ancestry, and Alcohol intake and antidepressant as mediators for prevention of hypothyroidism, hashimoto's thyroiditis attributable to MDD.
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Affiliation(s)
- Xu Zhang
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China.
| | - Qiao Lu
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Yiping Luo
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Luyao Wang
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Yuan Tian
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Xuemei Luo
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
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18
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Qiu-Qiang Z, Wei-Wei Y, Shan-Shu H, Yi-Ran L. Mendelian randomization of individual sleep traits associated with major depressive disorder. J Affect Disord 2024:S0165-0327(24)01280-1. [PMID: 39153551 DOI: 10.1016/j.jad.2024.08.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 06/06/2024] [Accepted: 08/12/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND Observational studies have shown that individual sleep traits habits are potential risk factors for major depression. However, it is not known whether there is a causal relationship between individual sleep traits habits such as continuous sleep duration, short sleep duration, short sleep duration, insomnia, nap during the day, snoring, and major depression. In this study, Mendelian randomization (MR) was used to predict major depressive disorder (MDD) in individuals sleep traits habits. METHODS Data were obtained from the genome-wide association study (GWAS). Nine MR analysis methods were used: Inverse Variance Weighted (IVW) [fixed effects/multiplicative random effects], simple mode, simple mode, weighted mode, simple median, weighted median, penalised weighted median, and MR-Egger, MR Egger (bootstrap). IVW was used as the main analysis method for the MR analysis of two samples, and the other methods were used as supplements. RESULTS The results obtained through the IVW method supported a causal relationship between sleep duration and decreased risk of MDD (odds ratio, ORivw: 0.998; 95 % CI: 0.996-0.999, P<0.001). Two-Sample MR, results showed that short sleep duration has a causal effect on the increased risk of MDD (odds ratio, ORivw: 1.179; 95 % CI: 1.108-1.255, P<0.001). However, there were no sufficient evidence supported that long sleep duration has a causal effect on the decreased risk of MDD (odds ratio, ORivw: 0.991; 95 % CI: 0.924-1.062, P = 0.793). A significant causal relationship between insomnia and increased risk of MDD was observed (OR: 1.233; 95 % CI: 1.214-1.253, P<0.001). Interestingly, our study also found that daytime napping has a causal effect on the increased risk of MDD (odds ratio, ORivw: 1.519; 95 % CI: 1.376-1.678, P<0.001). The present results did not show a significant causal relationship between snoring and the risk of MDD (ORivw: 1.000; 95 % CI: 0.998-1.002, P = 0.906). Obstructive sleep apnea (odds ratio, ORivw: 1.021; 95 % CI: 0.972-1.072, P = 0.407) and morning person (odds ratio, ORivw: 1.021; 95 % CI: 0.972-1.072, P = 0.407) have no causal effect on the increased risk of MDD. LIMITATIONS The study could not ascertain whether there were genetic differences among different ethnicities, nations, and regions, as it only included participants of European ancestry. CONCLUSIONS In summary, our research provides genetic evidence for the relationship between individual sleep traits (short sleep duration, insomnia, daytime napping) and the increased risk of MDD. Interventions targeting lifestyle factors may reduce the risk of MDD.
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Affiliation(s)
- Zheng Qiu-Qiang
- School of Education Science, Huizhou University, Huizhou, China and Institute of Analytical Psychology, City University of Macau, Macao
| | - Yang Wei-Wei
- Mental Health Education and Counseling Center, Beijing Normal University Zhuhai, Zhuhai, China
| | - He Shan-Shu
- College of Administration and Business, Dankook University, Yongin 16891, Republic of Korea
| | - Li Yi-Ran
- College of Educational Sciences, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea.
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Luo L, Xu R, Mu F, Li H, Liu Y, Gao J, Wu Y, Wang K, Liu Y, Zhang Y, Wang J, Liu Y. The interaction between TMEM161B (rs768705) and paranoid personality traits in relation to the risk of major depressive disorder: Results form a longitudinal study of 7642 Chinese freshmen. J Affect Disord 2024:S0165-0327(24)01278-3. [PMID: 39147160 DOI: 10.1016/j.jad.2024.08.065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/26/2024] [Accepted: 08/12/2024] [Indexed: 08/17/2024]
Abstract
BACKGROUND Rs768705 (TMEM161B) is one of the identified single nucleotide polymorphisms related to major depressive disorder (MDD). Paranoid personality traits are independently associated with the risk of MDD. This study aimed to investigate the interaction effect between rs768705 (TMEM161B) and paranoid personality traits on the new-onset risk of MDD in Chinese freshmen. METHODS A longitudinal study was conducted among 7642 Chinese freshmen without lifetime MDD at baseline in 2018. 158 new-onset MDD cases were ascertained in 2019. DNA samples were extracted to detect the genotype of rs768705. The diagnostic and statistical manual of mental disorders-IV criteria were used to determine MDD and personality disorder traits. Multiplicative interaction was assessed by logistic regression models. Tomas Andersson's method for calculating biological interactions was used to estimate the additive interaction. RESULTS Rs768705(AG) (OR = 1.88, 95 % CI: 1.24-2.83) and paranoid personality traits (OR = 3.68, 95 % CI: 2.57-5.26) were significantly associated with the risk of MDD. The multiplicative interaction model with the product term of rs768705 and paranoid personality trait traits had a significant interaction effect (OR = 4.20, 95 % CI:1.62-10.91). There was also a significant additive interaction effect (RR = 7.08, 95 % CI:4.31-11.65) for the incidence of MDD. Seventy seven percent patients among new MDD cases were attributed to the additive interaction effect between rs768705 and paranoid personality traits. CONCLUSIONS Rs768705 (AG) may interact with paranoid personality traits to increase the incidence of MDD among Chinese college students. Schools and psychosocial health organizations should pay more attention to individuals with paranoid personality traits for MDD intervention and prevention.
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Affiliation(s)
- Linlin Luo
- School of Public Health, Jining Medical University, Jining, Shandong, China; Department of Hematology, The Affiliated Tai'an City Central Hospital of Qingdao University, Tai'an, Shandong, China
| | - Ruixue Xu
- School of Public Health, Jining Medical University, Jining, Shandong, China; School of Public Health, Binzhou Medical University, Yantai, Shandong, China
| | - Fuqin Mu
- School of Mental Health, Jining Medical University, Jining, Shandong, China
| | - Hanyun Li
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China; School of Clinical Medicine, Jining Medical University, Jining, Shandong, China
| | - Yujia Liu
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jianhua Gao
- School of Mental Health, Jining Medical University, Jining, Shandong, China
| | - Yilin Wu
- School of Mental Health, Jining Medical University, Jining, Shandong, China
| | - Kejin Wang
- The first senior middle school of Jining City, Jining, Shandong, China
| | - Yanzhi Liu
- School of Clinical Medicine, Jining Medical University, Jining, Shandong, China
| | - Ying Zhang
- School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
| | - Jianli Wang
- School of Mental Health, Jining Medical University, Jining, Shandong, China; Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Yan Liu
- School of Public Health, Jining Medical University, Jining, Shandong, China; Center of Evidence-Based Medicine, Jining Medical University, Jining, Shandong, China.
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20
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Zhu J, Chen X, Lu B, Li XY, Wang ZH, Cao LP, Chen GM, Chen JS, Chen T, Chen TL, Cheng YQ, Chu ZS, Cui SX, Cui XL, Deng ZY, Gong QY, Guo WB, He CC, Hu ZJY, Huang Q, Ji XL, Jia FN, Kuang L, Li BJ, Li F, Li HX, Li T, Lian T, Liao YF, Liu XY, Liu YS, Liu ZN, Long YC, Lu JP, Qiu J, Shan XX, Si TM, Sun PF, Wang CY, Wang HN, Wang X, Wang Y, Wang YW, Wu XP, Wu XR, Wu YK, Xie CM, Xie GR, Xie P, Xu XF, Xue ZP, Yang H, Yu H, Yuan ML, Yuan YG, Zhang AX, Zhao JP, Zhang KR, Zhang W, Zhang ZJ, Yan CG, Yu Y. Transcriptomic decoding of regional cortical vulnerability to major depressive disorder. Commun Biol 2024; 7:960. [PMID: 39117859 PMCID: PMC11310478 DOI: 10.1038/s42003-024-06665-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 07/31/2024] [Indexed: 08/10/2024] Open
Abstract
Previous studies in small samples have identified inconsistent cortical abnormalities in major depressive disorder (MDD). Despite genetic influences on MDD and the brain, it is unclear how genetic risk for MDD is translated into spatially patterned cortical vulnerability. Here, we initially examined voxel-wise differences in cortical function and structure using the largest multi-modal MRI data from 1660 MDD patients and 1341 controls. Combined with the Allen Human Brain Atlas, we then adopted transcription-neuroimaging spatial correlation and the newly developed ensemble-based gene category enrichment analysis to identify gene categories with expression related to cortical changes in MDD. Results showed that patients had relatively circumscribed impairments in local functional properties and broadly distributed disruptions in global functional connectivity, consistently characterized by hyper-function in associative areas and hypo-function in primary regions. Moreover, the local functional alterations were correlated with genes enriched for biological functions related to MDD in general (e.g., endoplasmic reticulum stress, mitogen-activated protein kinase, histone acetylation, and DNA methylation); and the global functional connectivity changes were associated with not only MDD-general, but also brain-relevant genes (e.g., neuron, synapse, axon, glial cell, and neurotransmitters). Our findings may provide important insights into the transcriptomic signatures of regional cortical vulnerability to MDD.
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Affiliation(s)
- Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Bin Lu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xue-Ying Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zi-Han Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Li-Ping Cao
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Guan-Mao Chen
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, 250024, China
| | - Jian-Shan Chen
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Tao Chen
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Tao-Lin Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610044, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, 610052, China
| | - Yu-Qi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China
| | - Zhao-Song Chu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China
| | - Shi-Xian Cui
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 101408, China
- Sino-Danish Center for Education and Research, Graduate University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Xi-Long Cui
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Zhao-Yu Deng
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qi-Yong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610044, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, 610052, China
| | - Wen-Bin Guo
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Can-Can He
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu, 210009, China
| | - Zheng-Jia-Yi Hu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 101408, China
- Sino-Danish Center for Education and Research, Graduate University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Qian Huang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
| | - Xin-Lei Ji
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Feng-Nan Jia
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, 215003, China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
| | - Bao-Juan Li
- Xijing Hospital of Air Force Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Feng Li
- Beijing Anding Hospital, Capital Medical University, Beijing, 100120, China
| | - Hui-Xian Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tao Li
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310063, China
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, 610044, China
| | - Tao Lian
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yi-Fan Liao
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xiao-Yun Liu
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, 215003, China
| | - Zhe-Ning Liu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Yi-Cheng Long
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Jian-Ping Lu
- Shenzhen Kangning Hospital Shenzhen, Guangzhou, 518020, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Xiao-Xiao Shan
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Tian-Mei Si
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Peng-Feng Sun
- Xi'an Central Hospital, Xi'an, Shaanxi, 710004, China
| | - Chuan-Yue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing, 100120, China
| | - Hua-Ning Wang
- Xijing Hospital of Air Force Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Xiang Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, 250024, China
| | - Yu-Wei Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiao-Ping Wu
- Xi'an Central Hospital, Xi'an, Shaanxi, 710004, China
| | - Xin-Ran Wu
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Yan-Kun Wu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Chun-Ming Xie
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu, 210009, China
| | - Guang-Rong Xie
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing, 400016, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, 400000, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
| | - Xiu-Feng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China
| | - Zhen-Peng Xue
- Shenzhen Kangning Hospital Shenzhen, Guangzhou, 518020, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Hua Yu
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310063, China
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, 610044, China
| | - Min-Lan Yuan
- West China Hospital of Sichuan University, Chengdu, Sichuan, 610044, China
| | - Yong-Gui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Ai-Xia Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Jing-Ping Zhao
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Ke-Rang Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Wei Zhang
- West China Hospital of Sichuan University, Chengdu, Sichuan, 610044, China
| | - Zi-Jing Zhang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 101408, China
- Sino-Danish Center for Education and Research, Graduate University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China.
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China.
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Myers J, Xiao J, Mathura R, Shofty B, Pirtle V, Adkinson J, Allawala AB, Anand A, Gadot R, Najera R, Rey HG, Mathew SJ, Bijanki K, Banks G, Watrous A, Bartoli E, Heilbronner SR, Provenza N, Goodman WK, Pouratian N, Hayden BY, Sheth SA. Intracranial Directed Connectivity Links Subregions of the Prefrontal Cortex to Major Depression. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.07.24311546. [PMID: 39148826 PMCID: PMC11326344 DOI: 10.1101/2024.08.07.24311546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Understanding the neural basis of major depressive disorder (MDD) is vital to guiding neuromodulatory treatments. The available evidence supports the hypothesis that MDD is fundamentally a disease of cortical disinhibition, where breakdowns of inhibitory neural systems lead to diminished emotion regulation and intrusive ruminations. Recent research also points towards network changes in the brain, especially within the prefrontal cortex (PFC), as primary sources of MDD etiology. However, due to limitations in spatiotemporal resolution and clinical opportunities for intracranial recordings, this hypothesis has not been directly tested. We recorded intracranial EEG from the dorsolateral (dlPFC), orbitofrontal (OFC), and anterior cingulate cortices (ACC) in neurosurgical patients with MDD. We measured daily fluctuations in self-reported depression severity alongside directed connectivity between these PFC subregions. We focused primarily on delta oscillations (1-3 Hz), which have been linked to GABAergic inhibitory control and intracortical communication. Depression symptoms worsened when connectivity within the left vs. right PFC became imbalanced. In the left hemisphere, all directed connectivity towards the ACC, from the dlPFC and OFC, was positively correlated with depression severity. In the right hemisphere, directed connectivity between the OFC and dlPFC increased with depression severity as well. This is the first evidence that delta oscillations flowing between prefrontal subregions transiently increase intensity when people are experiencing more negative mood. These findings support the overarching hypothesis that MDD worsens with prefrontal disinhibition.
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Affiliation(s)
- John Myers
- Baylor College of Medicine, Department of Neurosurgery
| | - Jiayang Xiao
- Baylor College of Medicine, Department of Neurosurgery
| | | | - Ben Shofty
- Baylor College of Medicine, Department of Neurosurgery
| | | | | | | | - Adrish Anand
- Baylor College of Medicine, Department of Neurosurgery
| | - Ron Gadot
- Baylor College of Medicine, Department of Neurosurgery
| | | | - Hernan G. Rey
- Baylor College of Medicine, Department of Neurosurgery
| | - Sanjay J. Mathew
- Baylor College of Medicine, Department of Psychiatry and Behavioral Science
| | - Kelly Bijanki
- Baylor College of Medicine, Department of Neurosurgery
| | - Garrett Banks
- Baylor College of Medicine, Department of Neurosurgery
| | | | | | | | | | - Wayne K. Goodman
- University of Texas: Southwestern, Department of Neurological Surgery
| | - Nader Pouratian
- University of Texas: Southwestern, Department of Neurological Surgery
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22
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Xu JJ, Kan WJ, Wang TY, Li L, Zhang Y, Ge ZY, Xu JY, Yin ZJ, Feng Y, Wang G, Du J. Ganoderic acid A ameliorates depressive-like behaviors in CSDS mice: Insights from proteomic profiling and molecular mechanisms. J Affect Disord 2024; 358:270-282. [PMID: 38723681 DOI: 10.1016/j.jad.2024.05.038] [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: 12/26/2023] [Revised: 05/03/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024]
Abstract
OBJECTIVE Ganoderic Acid A (GAA), a primary bioactive component in Ganoderma, has demonstrated ameliorative effects on depressive-like behaviors in a Chronic Social Defeat Stress (CSDS) mouse model. This study aims to elucidate the underlying molecular mechanisms through proteomic analysis. METHODS C57BL/6 J mice were allocated into control (CON), chronic social defeat stress (CSDS), GAA, and imipramine (IMI) groups. Post-depression induction via CSDS, the GAA and IMI groups received respective treatments of GAA (2.5 mg/kg) and imipramine (10 mg/kg) for five days. Behavioral assessments utilized standardized tests. Proteins from the prefrontal cortex were analyzed using LC-MS, with further examination via bioinformatics and PRM for differential expression. Western blot analysis confirmed protein expression levels. RESULTS Chronic social defeat stress (CSDS) induced depressive-like behaviors in mice, which were significantly alleviated by GAA treatment, comparably to imipramine (IMI). Proteomic analysis identified distinct proteins in control (305), GAA-treated (949), and IMI-treated (289) groups. Enrichment in mitochondrial and synaptic proteins was evident from GO and PPI analyses. PRM analysis revealed significant expression changes in proteins crucial for mitochondrial and synaptic functions (namely, Naa30, Bnip1, Tubgcp4, Atxn3, Carmil1, Nup37, Apoh, Mrpl42, Tprkb, Acbd5, Dcx, Erbb4, Ppp1r2, Fam3c, Rnf112, and Cep41). Western blot validation in the prefrontal cortex showed increased levels of Mrpl42, Dcx, Fam3c, Ppp1r2, Rnf112, and Naa30 following GAA treatment. CONCLUSION GAA exhibits potential antidepressant properties, with its action potentially tied to the modulation of synaptic functions and mitochondrial activities.
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Affiliation(s)
- Jin-Jie Xu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Wei-Jing Kan
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Tian-Yi Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Lei Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Yi Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Zi-Yu Ge
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Ji-Yi Xu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Zi-Jia Yin
- Harbin Medical University Daqing Campus, Heilongjiang 163319, China
| | - Yuan Feng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China.
| | - Jing Du
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China.
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23
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Wang Z, Dou Y, Chen L, Feng W, Zou Y, Xiao J, Wang J, Zou Z. Mendelian randomization identifies causal effects of major depressive disorder on accelerated aging. J Affect Disord 2024; 358:422-431. [PMID: 38750800 DOI: 10.1016/j.jad.2024.05.056] [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: 01/13/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND Evidence links major depressive disorder (MDD) with aging, but it's unclear if MDD accelerates aging and what factors mediate this transition. METHODS Two-sample Mendelian randomization (MR) analyses were applied to estimate the causal association between MDD and frailty index (FI), telomere length (TL), and appendicular lean mass (ALM) from available genome-wide association studies in populations of European ancestry. Furthermore, we conducted mediation MR analyses to assess the mediating effects of 31 lifestyle factors or diseases on the causal relationship between MDD and aging. RESULTS MDD was significantly causally associated with increased FI (βIVW = 0.23, 95 % CI = 0.18 to 0.28, p = 1.20 × 10-17), shorter TL (βIVW = -0.04, 95 % CI = -0.07 to -0.01, p = 0.01), and decreased ALM (βIVW = -0.07, 95 % CI = -0.11 to -0.03, p = 3.54 × 10-4). The mediation analysis through two-step MR revealed smoking initiation (9.09 %), hypertension (6.67 %) and heart failure (5.36 %) mediated the causal effect of MDD on FI. Additionally, alcohol use disorders and alcohol dependence on the causal relationship between MDD and TL were found to be 17.52 % and 17.13 % respectively. LIMITATIONS Confounding, statistical power, and Euro-centric focus limit generalization. CONCLUSION Overall, individuals with MDD may be at a higher risk of experiencing premature aging, and this risk is partially influenced by the pathways involving smoking, alcohol use, and cardiovascular health. It underscores the importance of early intervention and comprehensive health management in individuals with MDD to promote healthy aging and overall well-being.
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Affiliation(s)
- Zuxing Wang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China.
| | - Yikai Dou
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Lili Chen
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Wenqian Feng
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Yazhu Zou
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Jun Xiao
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Jinyu Wang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Zhili Zou
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China.
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24
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Argyriou S, Fullard JF, Krivinko JM, Lee D, Wingo TS, Wingo AP, Sweet RA, Roussos P. Beyond memory impairment: the complex phenotypic landscape of Alzheimer's disease. Trends Mol Med 2024; 30:713-722. [PMID: 38821772 PMCID: PMC11329360 DOI: 10.1016/j.molmed.2024.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/15/2024] [Accepted: 04/26/2024] [Indexed: 06/02/2024]
Abstract
Neuropsychiatric symptoms (NPSs) in Alzheimer's disease (AD) constitute multifaceted behavioral manifestations that reflect processes of emotional regulation, thinking, and social behavior. They are as prevalent in AD as cognitive impairment and develop independently during the progression of neurodegeneration. As studying NPSs in AD is clinically challenging, most AD research to date has focused on cognitive decline. In this opinion article we summarize emerging literature on the prevalence, time course, and the underlying genetic, molecular, and pathological mechanisms related to NPSs in AD. Overall, we propose that NPSs constitute a cluster of core symptoms in AD, and understanding their neurobiology can lead to a more holistic approach to AD research, paving the way for more accurate diagnostic tests and personalized treatments embracing the goals of precision medicine.
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Affiliation(s)
- Stathis Argyriou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - John F Fullard
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Josh M Krivinko
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Donghoon Lee
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Thomas S Wingo
- Goizueta Alzheimer's Disease Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Aliza P Wingo
- Department of Psychiatry, Emory University School of Medicine, Atlanta, GA, USA; Veterans Affairs Atlanta Health Care System, Decatur, GA, USA
| | - Robert A Sweet
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Panos Roussos
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Street, Bronx, NY, USA; Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Street, Bronx, NY, USA.
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25
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Zhao Z, Liu A, Citu C, Enduru N, Chen X, Manuel A, Sinha T, Gorski D, Fernandes B, Yu M, Schulz P, Simon L, Soto C. Single-nucleus multiomics reveals the disrupted regulatory programs in three brain regions of sporadic early-onset Alzheimer's disease. RESEARCH SQUARE 2024:rs.3.rs-4622123. [PMID: 39149497 PMCID: PMC11326379 DOI: 10.21203/rs.3.rs-4622123/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Sporadic early-onset Alzheimer's disease (sEOAD) represents a significant but less-studied subtype of Alzheimer's disease (AD). Here, we generated a single-nucleus multiome atlas derived from the postmortem prefrontal cortex, entorhinal cortex, and hippocampus of nine individuals with or without sEOAD. Comprehensive analyses were conducted to delineate cell type-specific transcriptomic changes and linked candidate cis- regulatory elements (cCREs) across brain regions. We prioritized seven conservative transcription factors in glial cells in multiple brain regions, including RFX4 in astrocytes and IKZF1 in microglia, which are implicated in regulating sEOAD-associated genes. Moreover, we identified the top 25 altered intercellular signaling between glial cells and neurons, highlighting their regulatory potential on gene expression in receiver cells. We reported 38 cCREs linked to sEOAD-associated genes overlapped with late-onset AD risk loci, and sEOAD cCREs enriched in neuropsychiatric disorder risk loci. This atlas helps dissect transcriptional and chromatin dynamics in sEOAD, providing a key resource for AD research.
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26
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Akçimen F, Chia R, Saez-Atienzar S, Ruffo P, Rasheed M, Ross JP, Liao C, Ray A, Dion PA, Scholz SW, Rouleau GA, Traynor BJ. Genomic Analysis Identifies Risk Factors in Restless Legs Syndrome. Ann Neurol 2024. [PMID: 39078117 DOI: 10.1002/ana.27040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 07/11/2024] [Accepted: 07/12/2024] [Indexed: 07/31/2024]
Abstract
OBJECTIVE Restless legs syndrome (RLS) is a neurological condition that causes uncomfortable sensations in the legs and an irresistible urge to move them, typically during periods of rest. The genetic basis and pathophysiology of RLS are incompletely understood. We sought to identify additional novel genetic risk factors associated with RLS susceptibility. METHODS We performed a whole-genome sequencing and genome-wide association meta-analysis of RLS cases (n = 9,851) and controls (n = 38,957) in 3 population-based biobanks (All of Us, Canadian Longitudinal Study on Aging, and CARTaGENE). RESULTS Genome-wide association analysis identified 9 independent risk loci, of which 8 had been previously reported, and 1 was a novel risk locus (LMX1B, rs35196838, OR 1.14, 95% CI 1.09-1.19, p value = 2.2 × 10-9). Furthermore, a transcriptome-wide association study also identified GLO1 and a previously unreported gene, ELFN1. A genetic correlation analysis revealed significant common variant overlaps between RLS and neuroticism (rg = 0.40, se = 0.08, p value = 5.4 × 10-7), depression (rg = 0.35, se = 0.06, p value = 2.17 × 10-8), and intelligence (rg = -0.20, se = 0.06, p value = 4.0 × 10-4). INTERPRETATION Our study expands the understanding of the genetic architecture of RLS, and highlights the contributions of common variants to this prevalent neurological disorder. ANN NEUROL 2024.
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Affiliation(s)
- Fulya Akçimen
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Ruth Chia
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Sara Saez-Atienzar
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Paola Ruffo
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
- Medical Genetics Laboratory, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy
| | - Memoona Rasheed
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Jay P Ross
- Department of Human Genetics, McGill University, Montréal, Quebec, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, Quebec, Canada
| | - Calwing Liao
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Anindita Ray
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Patrick A Dion
- Montreal Neurological Institute-Hospital, McGill University, Montréal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, Quebec, Canada
| | - Sonja W Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, Maryland, USA
| | - Guy A Rouleau
- Department of Human Genetics, McGill University, Montréal, Quebec, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, Quebec, Canada
| | - Bryan J Traynor
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, Maryland, USA
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27
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Nie J, Zhang Y, Ma J, Xue Q, Hu M, Qi H. Major depressive disorder elevates the risk of dentofacial deformity: a bidirectional two-sample Mendelian randomization study. Front Psychiatry 2024; 15:1442679. [PMID: 39140105 PMCID: PMC11319251 DOI: 10.3389/fpsyt.2024.1442679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Accepted: 07/15/2024] [Indexed: 08/15/2024] Open
Abstract
Background The association between psychiatric disorders and dentofacial deformities has attracted widespread attention. However, their relationship is currently unclear and controversial. Methods A two-sample bidirectional MR analysis was performed to study the causal relationship between dentofacial deformity and eight psychiatric disorders, including major depressive disorder, panic disorder, schizophrenia, bipolar disorder, attention deficit hyperactivity disorder, Alzheimer's disease, autism spectrum disorder, and neuroticism. Inverse variance weighted, weighted median, MR-Egger regression, weighted mode four methods, and further sensitivity analyses were conducted. Results The major depressive disorder affected dentofacial deformity, with an OR = 1.387 (95% CI = 1.181-1.629, P = 6.77×10-5). No other psychiatric disorders were found to be associated with dentofacial deformity. In turn, dentofacial deformity were associated with neuroticism, with an OR = 1.050 (95% CI = 1.008-1.093, P = 0.018). And there was no evidence that dentofacial deformity would increase the risk of other psychiatric disorders. Conclusions Major depressive disorder might elevate the risk of dentofacial deformities, and dentofacial deformity conditions would increase the risk of the incidence of neuroticism.
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Affiliation(s)
- Jinhan Nie
- Department of Orthodontics, Hospital of Stomatology, Jilin University, Changchun, Jilin, China
| | - Yi Zhang
- Department of Orthodontics, Hospital of Stomatology, Jilin University, Changchun, Jilin, China
| | - Jun Ma
- Department of Oral Anatomy and Physiology, Hospital of Stomatology, Jilin University, Changchun, Jilin, China
| | - Qing Xue
- Department of Orthodontics, Hospital of Stomatology, Jilin University, Changchun, Jilin, China
| | - Min Hu
- Department of Orthodontics, Hospital of Stomatology, Jilin University, Changchun, Jilin, China
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, Jilin, China
| | - Huichuan Qi
- Department of Orthodontics, Hospital of Stomatology, Jilin University, Changchun, Jilin, China
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28
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Jácome-Ferrer P, Costas J. Exploring the causal effect of placental physiology in susceptibility to mental and addictive disorders: a Mendelian randomization study. Front Psychiatry 2024; 15:1396837. [PMID: 39135989 PMCID: PMC11317394 DOI: 10.3389/fpsyt.2024.1396837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 07/02/2024] [Indexed: 08/15/2024] Open
Abstract
Background Epidemiological studies have linked low birth weight to psychiatric disorders, including substance use disorders. Genomic analyses suggest a role of placental physiology on psychiatric risk. We investigated whether this association is causally related to impaired trophoblast function. Methods We conducted a two-sample summary-data Mendelian randomization study using as instrumental variables those genetic variants strongly associated with birth weight, whose effect is exerted through the fetal genome, and are located near genes with differential expression in trophoblasts. Eight psychiatric and substance use disorders with >10,000 samples were included as outcomes. The inverse variance weighted method was used as the main analysis and several sensitivity analyses were performed for those significant results. Results The inverse variance weighted estimate, based on 14 instrumental variables, revealed an association, after correction for multiple tests, between birth weight and broadly defined depression (β = -0.165, 95% CI = -0.282 to -0.047, P = 0.0059). Sensitivity analyses revealed the absence of heterogeneity in the effect of instrumental variables, confirmed by leave-one-out analysis, MR_Egger intercept, and MR_PRESSO. The effect was consistent using robust methods. Reverse causality was not detected. The effect was specifically linked to genetic variants near genes involved in trophoblast physiology instead of genes with fetal effect on birth weight or involved in placenta development. Conclusion Impaired trophoblast functioning, probably leading to reduced fetal brain oxygen and nutrient supply, is causally related to broadly defined depression. Considering the therapeutic potential of some agents to treat fetal growth restriction, further research on the effect of trophoblast physiology on mental disorders may have future implications in prevention.
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Affiliation(s)
- Pablo Jácome-Ferrer
- Psychiatric Genetics group, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Universidade de Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Javier Costas
- Psychiatric Genetics group, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain
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29
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Aouci R, Fontaine A, Vion A, Belz L, Levi G, Narboux-Nême N. The Antidepressant Action of Fluoxetine Involves the Inhibition of Dlx5/6 in Cortical GABAergic Neurons through a TrkB-Dependent Pathway. Cells 2024; 13:1262. [PMID: 39120293 PMCID: PMC11311550 DOI: 10.3390/cells13151262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 07/17/2024] [Accepted: 07/24/2024] [Indexed: 08/10/2024] Open
Abstract
Major depressive disorder (MDD) is a complex and devastating illness that affects people of all ages. Despite the large use of antidepressants in current medical practice, neither their mechanisms of action nor the aetiology of MDD are completely understood. Experimental evidence supports the involvement of Parvalbumin-positive GABAergic neurons (PV-neurons) in the pathogenesis of MDD. DLX5 and DLX6 (DLX5/6) encode two homeodomain transcription factors involved in cortical GABAergic differentiation and function. In the mouse, the level of expression of these genes is correlated with the cortical density of PV-neurons and with anxiety-like behaviours. The same genomic region generates the lncRNA DLX6-AS1, which, in humans, participates in the GABAergic regulatory module downregulated in schizophrenia and ASD. Here, we show that the expression levels of Dlx5/6 in the adult mouse brain are correlated with the immobility time in the forced swim test, which is used to measure depressive-like behaviours. We show that the administration of the antidepressant fluoxetine (Flx) to normal mice induces, within 24 h, a rapid and stable reduction in Dlx5, Dlx6 and Dlx6-AS1 expression in the cerebral cortex through the activation of the TrkB-CREB pathway. Experimental Dlx5 overexpression counteracts the antidepressant effects induced by Flx treatment. Our findings show that one of the short-term effects of Flx administration is the reduction in Dlx5/6 expression in GABAergic neurons, which, in turn, has direct consequences on PV expression and on behavioural profiles. Variants in the DLX5/6 regulatory network could be implicated in the predisposition to depression and in the variability of patients' response to antidepressant treatment.
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Affiliation(s)
| | | | | | | | | | - Nicolas Narboux-Nême
- Molecular Physiology and Adaption, UMR7221 CNRS, Museum National d’Histoire Naturelle, 75005 Paris, France; (R.A.); (A.F.); (L.B.); (G.L.)
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30
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Guo W, Guo Y, Song S, Huang X, Zhang Y, Zhang A, Meng F, Chang M, Wang Z. Causal effect of the age at first birth with depression: a mendelian randomization study. BMC Med Genomics 2024; 17:192. [PMID: 39049090 PMCID: PMC11270952 DOI: 10.1186/s12920-024-01966-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND This study aimed to explore the causal relationship between age at first birth (AFB) and depression. METHODS Using the univariable Mendelian randomization (UVMR) and multivariable Mendelian randomization (MVMR) methods to examine the potential correlation between age at first birth (AFB) and major depressive disorder and postpartum depression. A public database was used to obtain the genome-wide association studies (GWAS) summary data. We put inverse-variance-weighted (IVW) as the primary method in Mendelian randomization (MR) analysis and used sensitivity analysis to confirm the robustness of our result. RESULTS We found a significant causal association between AFB and major depressive disorder by using the IVW algorithm (odd ratio [OR] 0.826; 95% confidence interval [CI] 0.793 - 0.861; P = 4.51 × 10- 20). MR-Egger, weighted median, simple mode and weighted mode method concluded the same result (P < 0.05). During the sensitivity analysis, the heterogeneity test (Q-value = 55.061, df = 48, P = 2.81 × 10- 01, I2 = 12.82%) and the leave-one-out plot analysis confirmed the stability of the results. The outcomes of the pleiotropy test (MR-Egger intercept = 8.932 × 10- 3. SE = 6.909 × 10- 3. P = 2.02 × 10- 01) and MR_PRESSO global test (P = 2.03 × 10- 01) indicated there is no pleiotropy. CONCLUSION There is solid evidence that a higher age at first birth is associated with a lower risk of major depressive disorder.
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Affiliation(s)
- Wanshu Guo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Yuanyuan Guo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Shaokang Song
- Yebio Bioengineering Co., Ltd of Qingdao, Qingdao, 266000, China
| | - Xuankai Huang
- Da Bei Nong Food Group , Breeding Center , Harbin, 150000, Heilongjiang, China
- Branch of Animal Husbandry and Veterinary, Heilongjiang Academy of Agricultural Sciences, No. 2, Heyi St, Longsha District, Qiqihaer, 161005, China
| | - Yu Zhang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Aizhen Zhang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Fangrong Meng
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Minghang Chang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Zhipeng Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China.
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China.
- Da Bei Nong Food Group , Breeding Center , Harbin, 150000, Heilongjiang, China.
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31
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Hartwell EE, Jinwala Z, Milone J, Ramirez S, Gelernter J, Kranzler HR, Kember RL. Application of polygenic scores to a deeply phenotyped sample enriched for substance use disorders reveals extensive pleiotropy with psychiatric and somatic traits. Neuropsychopharmacology 2024:10.1038/s41386-024-01922-2. [PMID: 39043921 DOI: 10.1038/s41386-024-01922-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 06/07/2024] [Accepted: 06/28/2024] [Indexed: 07/25/2024]
Abstract
Co-occurring psychiatric, medical, and substance use disorders (SUDs) are common, but the complex pathways leading to such comorbidities are poorly understood. A greater understanding of genetic influences on this phenomenon could inform precision medicine efforts. We used the Yale-Penn dataset, a cross-sectional sample enriched for individuals with SUDs, to examine pleiotropic effects of genetic liability for psychiatric and somatic traits. Participants completed an in-depth interview that provides information on demographics, environment, medical illnesses, and psychiatric and SUDs. Polygenic scores (PGS) for psychiatric disorders and somatic traits were calculated in European-ancestry (EUR; n = 5691) participants and, when discovery datasets were available, for African-ancestry (AFR; n = 4918) participants. Phenome-wide association studies (PheWAS) were then conducted. In AFR participants, the only PGS with significant associations was bipolar disorder (BD), all of which were with substance use phenotypes. In EUR participants, PGS for major depressive disorder (MDD), generalized anxiety disorder (GAD), post-traumatic stress disorder (PTSD), schizophrenia (SCZ), body mass index (BMI), coronary artery disease (CAD), and type 2 diabetes (T2D) all showed significant associations, the majority of which were with phenotypes in the substance use categories. For instance, PGSMDD was associated with over 200 phenotypes, 15 of which were depression-related (e.g., depression criterion count), 55 of which were other psychiatric phenotypes, and 126 of which were substance use phenotypes; and PGSBMI was associated with 138 phenotypes, 105 of which were substance related. Genetic liability for psychiatric and somatic traits is associated with numerous phenotypes across multiple categories, indicative of the broad genetic liability of these traits.
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Affiliation(s)
- Emily E Hartwell
- Crescenz VA Medical Center, Philadelphia, PA, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | - Zeal Jinwala
- Crescenz VA Medical Center, Philadelphia, PA, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Joel Gelernter
- West Haven VA Medical Center, West Haven, CT, USA
- Yale University, New Haven, CT, USA
| | - Henry R Kranzler
- Crescenz VA Medical Center, Philadelphia, PA, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | - Rachel L Kember
- Crescenz VA Medical Center, Philadelphia, PA, USA.
- University of Pennsylvania, Philadelphia, PA, USA.
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Müller S, Lieb K, Streit F, Awasthi S, Wagner S, Frank J, Müller MB, Tadic A, Heilmann-Heimbach S, Hoffmann P, Mavarani L, Schmidt B, Rietschel M, Witt SH, Zillich L, Engelmann J. Common polygenic variation in the early medication change (EMC) cohort affects disorder risk, but not the antidepressant treatment response. J Affect Disord 2024; 363:542-551. [PMID: 39038621 DOI: 10.1016/j.jad.2024.07.138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 07/08/2024] [Accepted: 07/16/2024] [Indexed: 07/24/2024]
Abstract
BACKGROUND Given the great interest in identifying reliable predictors of the response to antidepressant drugs, the present study investigated whether polygenic scores (PGS) for Major Depressive Disorder (MDD) and antidepressant treatment response (ADR) were related to the complex trait of antidepressant response in the Early Medication Change (EMC) cohort. METHODS In this secondary analysis of the EMC trial (N = 889), 481 MDD patients were included and compared to controls from a population-based cohort. Patients were treated over eight weeks within a pre-defined treatment-algorithm. We investigated patients' genetic variation associated with MDD and ADR, using PGS and examined the association of PGS with treatment outcomes (early improvement, response, remission). Additionally, the influence of two cytochrome P450 drug-metabolizing enzymes (CYP2C19, CYP2D6) was determined. RESULTS PGS for MDD was significantly associated with disorder status (NkR2 = 2.48 %, p < 1*10-12), with higher genetic burden in EMC patients compared to controls. The PGS for ADR did not explain remission status. The PGS for MDD and ADR were also not associated with treatment outcomes. In addition, there were no effects of common CYP450 gene variants on ADR. LIMITATIONS The study was limited by variability in the outcome parameters due to differences in treatment and insufficient sample size in the used ADR genome-wide association study (GWAS). CONCLUSIONS The present study confirms a polygenic contribution to MDD burden in the EMC patients. Larger GWAS with homogeneity in antidepressant treatments are needed to explore the genetic variation associated with ADR and realize the potential of PGS to contribute to specific response subtypes.
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Affiliation(s)
- Svenja Müller
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; German Center for Mental Health (DZPG), Partner site Mannheim/Heidelberg/Ulm, Germany.
| | - Klaus Lieb
- Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; German Center for Mental Health (DZPG), Partner site Mannheim/Heidelberg/Ulm, Germany; Hector Institute for Artificial Intelligence in Psychiatry (HITKIP), Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Stefanie Wagner
- Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Marianne B Müller
- Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany; Translational Psychiatry, Department of Psychiatry and Psychotherapy & Focus Program Translational Neuroscience, University Medical Center, Mainz, Germany
| | - André Tadic
- Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany; Department of Psychiatry, Psychosomatics, and Psychotherapy, DR. FONTHEIM Mentale Gesundheit, Liebenburg, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Laven Mavarani
- Institute for Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; German Center for Mental Health (DZPG), Partner site Mannheim/Heidelberg/Ulm, Germany
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; German Center for Mental Health (DZPG), Partner site Mannheim/Heidelberg/Ulm, Germany
| | - Jan Engelmann
- Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany; Translational Psychiatry, Department of Psychiatry and Psychotherapy & Focus Program Translational Neuroscience, University Medical Center, Mainz, Germany.
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Fu Q, Li L, Zhuoma N, Ma R, Zhao Z, Quzuo Z, Wang Z, Yangzong D, Di J. Causality between six psychiatric disorders and digestive tract cancers risk: a two-sample Mendelian randomization study. Sci Rep 2024; 14:16689. [PMID: 39030227 PMCID: PMC11271641 DOI: 10.1038/s41598-024-66535-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 07/02/2024] [Indexed: 07/21/2024] Open
Abstract
Associations between psychiatric disorders and digestive tract cancers have been proposed. However, the causal link between these factors remains unclear. This study pioneers Mendelian randomization (MR) analysis to explore the genetic link between psychiatric disorders and digestive tract cancers risk. We analysed data on six psychiatric disorders [schizophrenia, bipolar disorder, major depressive disorder (MDD), attention deficit hyperactivity disorder, autism spectrum disorder, and panic disorder (PD)] and digestive tract cancers [esophagus cancer (EC), gastric cancer (GC), and colorectal cancer (CRC)] from genome-wide association studies databases. Using instrumental variables identified from significant single nucleotide polymorphism associations, we employed the inverse variance weighted (IVW) method alongside the weighted median (WM) method and MR-Egger regression. The results revealed no causal link between psychiatric disorders and the risk of EC or GC. Psychiatric disorders were not identified as risk factors for CRC. Notably, PD demonstrated a lower CRC risk (OR = 0.79, 95% CI 0.66-0.93, P = 0.01). This MR analysis underscores the lack of a causal association between psychiatric disorders and digestive tract cancers risk while suggesting a potential protective effect of PD against CRC.
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Affiliation(s)
- Qi Fu
- Qinghai University Affiliated Hospital (The Clinical Medical School), Qinghai University, Xining, 810000, Qinghai, China
| | - Linghui Li
- The Fifth People's Hospital of Qinghai Province, Xining, 810000, Qinghai, China
| | - Niyang Zhuoma
- Yushu City People's Hospital, Yushu, 815099, Qinghai, China
| | - Rui Ma
- Qinghai University Affiliated Hospital (The Clinical Medical School), Qinghai University, Xining, 810000, Qinghai, China
| | - Zhixi Zhao
- Yushu City People's Hospital, Yushu, 815099, Qinghai, China
| | - Zhaxi Quzuo
- Yushu City People's Hospital, Yushu, 815099, Qinghai, China
| | - Zhen Wang
- Yushu City People's Hospital, Yushu, 815099, Qinghai, China
| | - Deji Yangzong
- Yushu City People's Hospital, Yushu, 815099, Qinghai, China
| | - Ji Di
- Qinghai University Affiliated Hospital (The Clinical Medical School), Qinghai University, Xining, 810000, Qinghai, China.
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Petersen L, Christiansen G, Chatwin H, Yilmaz Z, Schendel D, Bulik C, Grove J, Brikell I, Semark B, Holde K, Abdulkadir M, Hubel C, Albiñana C, Vilhjálmsson B, Borglum A, Demontis D, Mortensen P. The role of co-occurring conditions and genetics in the associations of eating disorders with attention-deficit/hyperactivity disorder and autism spectrum disorder. RESEARCH SQUARE 2024:rs.3.rs-4236554. [PMID: 39070652 PMCID: PMC11275993 DOI: 10.21203/rs.3.rs-4236554/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Eating disorders (EDs) commonly co-occur with other psychiatric and neurodevelopmental disorders including attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD); however, the pattern of family history and genetic overlap among them requires clarification. This study investigated the diagnostic, familial, and genetic associations of EDs with ADHD and ASD. The nationwide population-based cohort study included all individuals born in Denmark, 1981-2008, linked to their siblings and cousins. Cox regression was used to estimate associations between EDs and ADHD or ASD, and mediation analysis was used to assess the effects of intermediate mood or anxiety disorders. Polygenic scores (PGSs) were used to investigate the genetic association between anorexia nervosa (AN) and ADHD or ASD. Significantly increased risk for any ED was observed following an ADHD [hazard ratio = 1.97, 95% confidence interval = 1.75-2.22] or ASD diagnosis [2.82, 2.48-3.19]. Mediation analysis suggested that intermediate mood or anxiety disorders could account for 44-100% of the association between ADHD or ASD and ED. Individuals with a full sibling or maternal halfsibling with ASD had increased risk of AN [1.54, 1.33-1.78; 1.45, 1.08-1.94] compared to those with siblings without ASD. A positive association was found between ASD-PGS and AN risk [1.06, 1.02-1.09]. In this study, positive phenotypic associations between EDs and ADHD or ASD, mediation by mood or anxiety disorder, and a genetic association between ASD-PGS and AN were observed. These findings could guide future research in the development of new treatments that can mitigate the development of EDs among individuals with ADHD or ASD.
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35
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Cha J, Lee E, van Dijk M, Kim B, Kim G, Murphy E, Talati A, Joo Y, Weissman M. Polygenic scores for psychiatric traits mediate the impact of multigenerational history for depression on offspring psychopathology. RESEARCH SQUARE 2024:rs.3.rs-4264742. [PMID: 39070622 PMCID: PMC11275997 DOI: 10.21203/rs.3.rs-4264742/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
A family history of depression is a well-documented risk factor for offspring psychopathology. However, the genetic mechanisms underlying the intergenerational transmission of depression remain unclear. We used genetic, family history, and diagnostic data from 11,875 9-10 year-old children from the Adolescent Brain Cognitive Development study. We estimated and investigated the children's polygenic scores (PGSs) for 30 distinct traits and their association with a family history of depression (including grandparents and parents) and the children's overall psychopathology through logistic regression analyses. We assessed the role of polygenic risk for psychiatric disorders in mediating the transmission of depression from one generation to the next. Among 11,875 multi-ancestry children, 8,111 participants had matching phenotypic and genotypic data (3,832 female [47.2%]; mean (SD) age, 9.5 (0.5) years), including 6,151 [71.4%] of European ancestry). Greater PGSs for depression (estimate = 0.129, 95% CI = 0.070-0.187) and bipolar disorder (estimate = 0.109, 95% CI = 0.051-0.168) were significantly associated with higher family history of depression (Bonferroni-corrected P < .05). Depression PGS was the only PGS that significantly associated with both family risk and offspring's psychopathology, and robustly mediated the impact of family history of depression on several youth psychopathologies including anxiety disorders, suicidal ideation, and any psychiatric disorder (proportions mediated 1.39%-5.87% of the total effect on psychopathology; FDR-corrected P < .05). These findings suggest that increased polygenic risk for depression partially mediates the associations between family risk for depression and offspring psychopathology, showing a genetic basis for intergenerational transmission of depression. Future approaches that combine assessments of family risk with polygenic profiles may offer a more accurate method for identifying children at elevated risk.
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Affiliation(s)
| | | | | | - Bogyeom Kim
- Department of Psychology, Seoul National University
| | | | | | | | | | - Myrna Weissman
- Columbia University Vagelos College of Physicians and Surgeons
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36
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Kanjira SC, Adams MJ, Jiang Y, Tian C, Lewis CM, Kuchenbaecker K, McIntosh AM. Polygenic prediction of major depressive disorder and related traits in African ancestries UK Biobank participants. Mol Psychiatry 2024:10.1038/s41380-024-02662-x. [PMID: 39014000 DOI: 10.1038/s41380-024-02662-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 06/27/2024] [Accepted: 07/03/2024] [Indexed: 07/18/2024]
Abstract
Genome-Wide Association Studies (GWAS) over-represent European ancestries, neglecting all other ancestry groups and low-income nations. Consequently, polygenic risk scores (PRS) more accurately predict complex traits in Europeans than African Ancestries groups. Very few studies have looked at the transferability of European-derived PRS for behavioural and mental health phenotypes to Africans. We assessed the comparative accuracy of depression PRS trained on European and African Ancestries GWAS studies to predict major depressive disorder (MDD) and related traits in African ancestry participants from the UK Biobank. UK Biobank participants were selected based on Principal component analysis clustering with an African genetic similarity reference population, MDD was assessed with the Composite International Diagnostic Interview (CIDI). PRS were computed using PRSice2 software using either European or African Ancestries GWAS summary statistics. PRS trained on European ancestry samples (246,363 cases) predicted case control status in Africans of the UK Biobank with similar accuracies (R2 = 2%, β = 0.32, empirical p-value = 0.002) to PRS trained on far much smaller samples of African Ancestries participants from 23andMe, Inc. (5045 cases, R² = 1.8%, β = 0.28, empirical p-value = 0.008). This suggests that prediction of MDD status from Africans to Africans had greater efficiency relative to discovery sample size than prediction of MDD from Europeans to Africans. Prediction of MDD status in African UK Biobank participants using GWAS findings of likely causal risk factors from European ancestries was non-significant. GWAS of MDD in European ancestries are inefficient for improving polygenic prediction in African samples; urgent MDD studies in Africa are needed.
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Affiliation(s)
- S C Kanjira
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
| | - M J Adams
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Y Jiang
- 23andMe Inc, Sunnyvale, CA, USA
| | - C Tian
- 23andMe Inc, Sunnyvale, CA, USA
| | - C M Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - K Kuchenbaecker
- UCL Genetics Institute, University College London, London, UK
| | - A M McIntosh
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK.
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37
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Jimoh-Abdulghaffaar HO, Joel IY, Jimoh OS, Ganiyu KO, Alatiba TM, Ogunyomi VO, Adebayo MS, Awoliyi VT, Agaka AO, Oyedeji AB, Kolade IA, Ojulari LS. Sex Influences Genetic Susceptibility to Depression-Like Behaviors in Chronic Unpredictable Mild Stress-Exposed Wistar Rats. Mol Neurobiol 2024:10.1007/s12035-024-04348-5. [PMID: 39012445 DOI: 10.1007/s12035-024-04348-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 07/03/2024] [Indexed: 07/17/2024]
Abstract
Depression is one of the most common mood disorders among psychiatric diseases. It affects about 10% of the adult population. However, its etiopathogenesis remains poorly understood. Exploring the dynamics of stress-susceptibility and resilience will help in understanding the molecular and biological mechanisms underlying the etiopathogenesis of depression. This study aimed to determine the differences and/or similarities in factors responsible for susceptibility to depression-like behaviors in male and female Wistar rats subjected to chronic unpredictable mild stress (CUMS). Sixty Wistar rats (30 male and 30 female) weighing between 120 and 150 g were used for this study. The rats were divided into two sub-groups: control (10) and test (20) groups. Rats in the test groups were subjected to CUMS. Depression-like behaviors were assessed using light-dark box, sucrose preference, and tail suspension tests. Rats that showed depression-like behaviors following the behavioral tests (CUMS-susceptible group) were sacrificed, and their hippocampi were excised. Genomic deoxyribonucleic acid (gDNA) was purified from the hippocampal samples. Purified gDNA was subjected to whole genome sequencing (WGS). Base-calling of sequence reads from raw sequencing signal (FAST5) files was carried out, and variants were called from alignment BAM files. The corresponding VCF files generated from the variant calling experiment were filtered. Genes were identified, their impacts estimated, and variants annotated. Functional enrichment analysis was then carried out. Approximately 41% of the male and 49% of the female rats subjected to CUMS showed significant (p < 0.05) depression-like behaviors following assessment on behavioral tests. WGS of the hippocampal DNA revealed 289,839 single nucleotide polymorphisms variant types, 7002 insertions, and 34,459 deletions in males, and 1,570,186 single nucleotide polymorphisms variant types, 109,860 insertions, and 597,241 deletions in female Wistar rats. Three genes with high-impact variants were identified in male and 22 in female Wistar rats, respectively. In conclusion, female Wistar rats are more susceptible to depression-like behaviors after exposure to CUMS than males. They also have more gene variants (especially high-impact variants) than male Wistar rats.
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Affiliation(s)
| | - Ireoluwa Yinka Joel
- Department of Biochemistry, Federal University of Agriculture, Makurdi, Benue State, Nigeria
| | | | - Kaosara Oyinola Ganiyu
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Temidayo Micheal Alatiba
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Victory Oluwaseyi Ogunyomi
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Muhammed Salaudeen Adebayo
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Victoria Tolulope Awoliyi
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Adamah Olamide Agaka
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Aminat Bolatito Oyedeji
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Ifeoluwa A Kolade
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
| | - Lekan Sheriff Ojulari
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Nigeria
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38
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Sokolov AV, Schiöth HB. Decoding depression: a comprehensive multi-cohort exploration of blood DNA methylation using machine learning and deep learning approaches. Transl Psychiatry 2024; 14:287. [PMID: 39009577 PMCID: PMC11250806 DOI: 10.1038/s41398-024-02992-y] [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: 12/28/2023] [Revised: 06/24/2024] [Accepted: 06/27/2024] [Indexed: 07/17/2024] Open
Abstract
The causes of depression are complex, and the current diagnosis methods rely solely on psychiatric evaluations with no incorporation of laboratory biomarkers in clinical practices. We investigated the stability of blood DNA methylation depression signatures in six different populations using six public and two domestic cohorts (n = 1942) conducting mega-analysis and meta-analysis of the individual studies. We evaluated 12 machine learning and deep learning strategies for depression classification both in cross-validation (CV) and in hold-out tests using merged data from 8 separate batches, constructing models with both biased and unbiased feature selection. We found 1987 CpG sites related to depression in both mega- and meta-analysis at the nominal level, and the associated genes were nominally related to axon guidance and immune pathways based on enrichment analysis and eQTM data. Random forest classifiers achieved the highest performance (AUC 0.73 and 0.76) in CV and hold-out tests respectively on the batch-level processed data. In contrast, the methylation showed low predictive power (all AUCs < 0.57) for all classifiers in CV and no predictive power in hold-out tests when used with harmonized data. All models achieved significantly better performance (>14% gain in AUCs) with pre-selected features (selection bias), with some of the models (joint autoencoder-classifier) reaching AUCs of up to 0.91 in the final testing regardless of data preparation. Different algorithmic feature selection approaches may outperform limma, however, random forest models perform well regardless of the strategy. The results provide an overview over potential future biomarkers for depression and highlight many important methodological aspects for DNA methylation-based depression profiling including the use of machine learning strategies.
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Affiliation(s)
- Aleksandr V Sokolov
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Helgi B Schiöth
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden.
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Ciulkinyte A, Mountford HS, Fontanillas P, Bates TC, Martin NG, Fisher SE, Luciano M. Genetic neurodevelopmental clustering and dyslexia. Mol Psychiatry 2024:10.1038/s41380-024-02649-8. [PMID: 39009701 DOI: 10.1038/s41380-024-02649-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 06/18/2024] [Accepted: 06/26/2024] [Indexed: 07/17/2024]
Abstract
Dyslexia is a learning difficulty with neurodevelopmental origins, manifesting as reduced accuracy and speed in reading and spelling. It is substantially heritable and frequently co-occurs with other neurodevelopmental conditions, particularly attention deficit-hyperactivity disorder (ADHD). Here, we investigate the genetic structure underlying dyslexia and a range of psychiatric traits using results from genome-wide association studies of dyslexia, ADHD, autism, anorexia nervosa, anxiety, bipolar disorder, major depressive disorder, obsessive compulsive disorder, schizophrenia, and Tourette syndrome. Genomic Structural Equation Modelling (GenomicSEM) showed heightened support for a model consisting of five correlated latent genomic factors described as: F1) compulsive disorders (including obsessive-compulsive disorder, anorexia nervosa, Tourette syndrome), F2) psychotic disorders (including bipolar disorder, schizophrenia), F3) internalising disorders (including anxiety disorder, major depressive disorder), F4) neurodevelopmental traits (including autism, ADHD), and F5) attention and learning difficulties (including ADHD, dyslexia). ADHD loaded more strongly on the attention and learning difficulties latent factor (F5) than on the neurodevelopmental traits latent factor (F4). The attention and learning difficulties latent factor (F5) was positively correlated with internalising disorders (.40), neurodevelopmental traits (.25) and psychotic disorders (.17) latent factors, and negatively correlated with the compulsive disorders (-.16) latent factor. These factor correlations are mirrored in genetic correlations observed between the attention and learning difficulties latent factor and other cognitive, psychological and wellbeing traits. We further investigated genetic variants underlying both dyslexia and ADHD, which implicated 49 loci (40 not previously found in GWAS of the individual traits) mapping to 174 genes (121 not found in GWAS of individual traits) as potential pleiotropic variants. Our study confirms the increased genetic relation between dyslexia and ADHD versus other psychiatric traits and uncovers novel pleiotropic variants affecting both traits. In future, analyses including additional co-occurring traits such as dyscalculia and dyspraxia will allow a clearer definition of the attention and learning difficulties latent factor, yielding further insights into factor structure and pleiotropic effects.
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Affiliation(s)
- Austeja Ciulkinyte
- Translational Neuroscience PhD Programme, University of Edinburgh, Edinburgh, UK
| | - Hayley S Mountford
- School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Timothy C Bates
- School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Michelle Luciano
- School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.
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Jamet C, Dubertret C, Le Strat Y, Tebeka S. Age of onset of major depressive episode and association with lifetime psychiatric disorders, health-related quality of life and impact of gender: A cross sectional and retrospective cohort study. J Affect Disord 2024; 363:300-309. [PMID: 39004313 DOI: 10.1016/j.jad.2024.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 06/07/2024] [Accepted: 07/11/2024] [Indexed: 07/16/2024]
Abstract
OBJECTIVE To assess the long-term impact of the age of onset (AOO) of the first major depressive episode (MDE) according to 3 age groups and considering gender. METHODS Data were extracted from NESARC III, a representative U.S. SAMPLE We included 8053 participants with an MDE history in a cross-sectional and retrospective cohort study. We defined 3 AOO groups: childhood-onset (< 13 yo), adolescence-onset (13-18 yo), and adult-onset (> 18 yo). We compared sociodemographic characteristics, lifetime psychiatric disorders per DSM-5 criteria, and health-related quality of life (HRQOL) in each group and performed gender-stratified analyses. RESULTS Prevalence of childhood-onset MDE was 10.03 %, adolescence-onset was 14.12 %, and adult-onset was 75.85 %. Suicide attempts (AOR = 3.61; 95 % CI 2.90-4.50), anxiety disorders (AOR = 1.92; 95 % CI 1.62-2.27), and personality disorders (AOR = 3.08; 95 % CI 2.56-3.71) were more frequent in the childhood-onset than in the adult-onset one. Adolescence-onset group showed similar results. Physical Disability scale (p < 0.001) and Mental Disability scale (p < 0.001) were significantly lower in the childhood-onset group. Results were more nuanced in the adolescence-onset group. Women in childhood-onset and adolescence-onset groups had poorer outcomes than the adult-onset group. Differences were less pronounced in men. LIMITATIONS Recall and classification biases inherent to survey design. CONCLUSION Individuals, particularly women, who experienced their first MDE during childhood or adolescence exhibit higher lifetime psychiatric disorder prevalence and poorer HRQOL than those with adult-onset MDE. These findings highlight the importance of preventive measures, early diagnosis, and treatment of youth depression.
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Affiliation(s)
- Camille Jamet
- Department of Psychiatry, Louis-Mourier Hospital, AP-HP, 92700 Colombes, France; Université Paris Cité, Faculty of Medicine, Paris, France
| | - Caroline Dubertret
- Department of Psychiatry, Louis-Mourier Hospital, AP-HP, 92700 Colombes, France; Université Paris Cité, Faculty of Medicine, Paris, France; INSERM U1266, Centre for Psychiatry and Neurosciences, 102 rue de la Santé, 75014 Paris, France
| | - Yann Le Strat
- Department of Psychiatry, Louis-Mourier Hospital, AP-HP, 92700 Colombes, France; Université Paris Cité, Faculty of Medicine, Paris, France; INSERM U1266, Centre for Psychiatry and Neurosciences, 102 rue de la Santé, 75014 Paris, France
| | - Sarah Tebeka
- Department of Psychiatry, Louis-Mourier Hospital, AP-HP, 92700 Colombes, France; Université Paris Cité, Faculty of Medicine, Paris, France; INSERM U1266, Centre for Psychiatry and Neurosciences, 102 rue de la Santé, 75014 Paris, France.
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Li X, Xue C, Zhu Z, Yu X, Yang Q, Cui L, Li M. Application of GWAS summary data and drug-induced gene expression profiles of neural progenitor cells in psychiatric drug prioritization analysis. Mol Psychiatry 2024:10.1038/s41380-024-02660-z. [PMID: 39003413 DOI: 10.1038/s41380-024-02660-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 06/24/2024] [Accepted: 07/02/2024] [Indexed: 07/15/2024]
Abstract
Common psychiatric disorders constitute one of the most substantial healthcare burdens worldwide. However, drug development in psychiatry remains hampered partially due to the lack of approaches to estimating drugs that can simultaneously modulate the expression of a nontrivial fraction of disease susceptibility genes. We proposed a new drug prioritization strategy under the framework of our previously proposed phenotype-associated tissues estimation approach (DESE) by investigating the drugs' selective perturbation effect on disease susceptibility genes. Based on the genome-wide association study summary data and drug-induced gene expression profiles of neural progenitor cells, we applied this strategy to prioritize candidate drugs for schizophrenia, depression and bipolar I disorder and identified several known therapeutic drugs among the top-ranked drug candidates. Also, our results revealed that the disease susceptibility genes involved in the selective gene perturbation analysis were enriched with many biologically sensible function terms and interacted with known therapeutic drugs. Our results suggested that selective gene perturbation analysis could be a promising starting point to prioritize biologically sensible drug candidates under the "one drug, multiple targets" paradigm for the drug development of common psychiatric disorders.
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Affiliation(s)
- Xiangyi Li
- Program in Bioinformatics, Zhongshan School of Medicine and The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, 510080, Guangdong, China
| | - Chao Xue
- Program in Bioinformatics, Zhongshan School of Medicine and The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Zheng Zhu
- Program in Bioinformatics, Zhongshan School of Medicine and The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Xuegao Yu
- Program in Bioinformatics, Zhongshan School of Medicine and The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Qi Yang
- Program in Bioinformatics, Zhongshan School of Medicine and The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Liqian Cui
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
- Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, Guangzhou, 510080, Guangdong, China.
- National Key Clinical Department and Key Discipline of Neurology, Guangzhou, 510080, Guangdong, China.
| | - Miaoxin Li
- Program in Bioinformatics, Zhongshan School of Medicine and The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, 510080, Guangdong, China.
- Research Center of Medical Sciences, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong, Guangzhou, 510080, China.
- Center for Precision Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong, China.
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Torii K, Ohi K, Fujikane D, Takai K, Kuramitsu A, Muto Y, Sugiyama S, Shioiri T. Tissue-specific gene expression of genome-wide significant loci associated with major depressive disorder subtypes. Prog Neuropsychopharmacol Biol Psychiatry 2024; 133:111019. [PMID: 38663672 DOI: 10.1016/j.pnpbp.2024.111019] [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: 12/29/2023] [Revised: 04/16/2024] [Accepted: 04/23/2024] [Indexed: 04/29/2024]
Abstract
Major depressive disorder (MDD) is a clinically and genetically heterogeneous disorder. To reduce heterogeneity, large-scale genome-wide association studies have recently identified genome-wide significant loci associated with seven MDD subtypes. However, it was unclear in which tissues the genes near those loci are specifically expressed. We investigated whether genes related to specific MDD subtypes would be preferably expressed in a specific tissue. At 14 novel subtype-specific loci related to seven MDD subtypes-(1) non-atypical-like features MDD, (2) early-onset MDD, (3) recurrent MDD, (4) MDD with suicidal thoughts, (5) MDD without suicidal thoughts, (6) MDD with moderate impairment, and (7) postpartum depression, we investigated whether 22 genome-wide significant genetic variant-mapped genes were tissue-specifically expressed in brain, female reproductive, male specific, cardiovascular, gastrointestinal, or urinary tissues in the Genotype-Tissue Expression (GTEx) subjects (n ≤ 948). To confirm the tissue-specific expression in the GTEx, we used independent Human Protein Atlas (HPA) RNA-seq subjects (n ≤ 95). Of 22 genes, nine and five genes were tissue-specifically expressed in brain and female reproductive tissues, respectively (p < 2.27 × 10-3). RTN1, ERBB4, and AMIGO1 related to early-onset MDD, recurrent MDD, or MDD with suicidal thoughts were highly expressed in brain tissues (d = 1.19-2.71), while OAS1, LRRC9, DHRS7, PSMA5, SYPL2, and GULP1 related to non-atypical-like features MDD, early-onset MDD, MDD with suicidal thoughts, or postpartum depression were expressed at low levels in brain tissues (d = -0.17--1.48). DFNA5, CTBP2, PCNX4, SDCCAG8, and GULP1, which are related to early-onset MDD, MDD with moderate impairment, or postpartum depression, were highly expressed in female reproductive tissues (d = 0.80-2.08). Brain and female reproductive tissue-specific expression was confirmed in the HPA RNA-seq subjects. Our findings suggest that brain and female reproductive tissue-specific expression might contribute to the pathogenesis of MDD subtypes.
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Affiliation(s)
- Kaai Torii
- School of Medicine, Gifu University, Gifu, Japan
| | - Kazutaka Ohi
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan; Department of General Internal Medicine, Kanazawa Medical University, Ishikawa, Japan.
| | - Daisuke Fujikane
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Kentaro Takai
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Ayumi Kuramitsu
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yukimasa Muto
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Shunsuke Sugiyama
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Toshiki Shioiri
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
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Marchi M, Alkema A, Xia C, Thio CHL, Chen LY, Schalkwijk W, Galeazzi GM, Ferrari S, Pingani L, Kweon H, Evans-Lacko S, David Hill W, Boks MP. Investigating the impact of poverty on mental illness in the UK Biobank using Mendelian randomization. Nat Hum Behav 2024:10.1038/s41562-024-01919-3. [PMID: 38987359 DOI: 10.1038/s41562-024-01919-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 05/31/2024] [Indexed: 07/12/2024]
Abstract
It is unclear whether poverty and mental illness are causally related. Using UK Biobank and Psychiatric Genomic Consortium data, we examined evidence of causal links between poverty and nine mental illnesses (attention deficit and hyperactivity disorder (ADHD), anorexia nervosa, anxiety disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, obsessive-compulsive disorder, post-traumatic stress disorder and schizophrenia). We applied genomic structural equation modelling to derive a poverty common factor from household income, occupational income and social deprivation. Then, using Mendelian randomization, we found evidence that schizophrenia and ADHD causally contribute to poverty, while poverty contributes to major depressive disorder and schizophrenia but decreases the risk of anorexia nervosa. Poverty may also contribute to ADHD, albeit with uncertainty due to unbalanced pleiotropy. The effects of poverty were reduced by approximately 30% when we adjusted for cognitive ability. Further investigations of the bidirectional relationships between poverty and mental illness are warranted, as they may inform efforts to improve mental health for all.
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Affiliation(s)
- Mattia Marchi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Department of Mental Health and Addiction Services, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
- Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Anne Alkema
- Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Charley Xia
- Lothian Birth Cohort Studies, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Chris H L Thio
- Department of Epidemiology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
- Department of Population Health Sciences, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Li-Yu Chen
- Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Winni Schalkwijk
- Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Gian M Galeazzi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
- Department of Mental Health and Addiction Services, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
| | - Silvia Ferrari
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Department of Mental Health and Addiction Services, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Luca Pingani
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Department of Mental Health and Addiction Services, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Hyeokmoon Kweon
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, HV Amsterdam, the Netherlands
| | - Sara Evans-Lacko
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
| | - W David Hill
- Lothian Birth Cohort Studies, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Marco P Boks
- Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
- Dimence Institute for Specialized Mental Health Care, Dimence Group, Deventer, The Netherlands.
- Department of Psychiatry, Amsterdam UMC, Amsterdam, The Netherlands.
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Retallick-Townsley KG, Lee S, Cartwright S, Cohen S, Sen A, Jia M, Young H, Dobbyn L, Deans M, Fernandez-Garcia M, Huckins LM, Brennand KJ. Dynamic stress- and inflammatory-based regulation of psychiatric risk loci in human neurons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.09.602755. [PMID: 39026810 PMCID: PMC11257632 DOI: 10.1101/2024.07.09.602755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
The prenatal environment can alter neurodevelopmental and clinical trajectories, markedly increasing risk for psychiatric disorders in childhood and adolescence. To understand if and how fetal exposures to stress and inflammation exacerbate manifestation of genetic risk for complex brain disorders, we report a large-scale context-dependent massively parallel reporter assay (MPRA) in human neurons designed to catalogue genotype x environment (GxE) interactions. Across 240 genome-wide association study (GWAS) loci linked to ten brain traits/disorders, the impact of hydrocortisone, interleukin 6, and interferon alpha on transcriptional activity is empirically evaluated in human induced pluripotent stem cell (hiPSC)-derived glutamatergic neurons. Of ~3,500 candidate regulatory risk elements (CREs), 11% of variants are active at baseline, whereas cue-specific CRE regulatory activity range from a high of 23% (hydrocortisone) to a low of 6% (IL-6). Cue-specific regulatory activity is driven, at least in part, by differences in transcription factor binding activity, the gene targets of which show unique enrichments for brain disorders as well as co-morbid metabolic and immune syndromes. The dynamic nature of genetic regulation informs the influence of environmental factors, reveals a mechanism underlying pleiotropy and variable penetrance, and identifies specific risk variants that confer greater disorder susceptibility after exposure to stress or inflammation. Understanding neurodevelopmental GxE interactions will inform mental health trajectories and uncover novel targets for therapeutic intervention.
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Affiliation(s)
- Kayla G. Retallick-Townsley
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Seoyeon Lee
- Department of Psychiatry, Division of Molecular Psychiatry, Yale University School of Medicine, New Haven, CT 06511
- Department of Genetics, Wu Tsai Institute, Yale University School of Medicine, New Haven, CT 06511
| | - Sam Cartwright
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Sophie Cohen
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Annabel Sen
- Department of Psychiatry, Division of Molecular Psychiatry, Yale University School of Medicine, New Haven, CT 06511
- Department of Genetics, Wu Tsai Institute, Yale University School of Medicine, New Haven, CT 06511
| | - Meng Jia
- Department of Psychiatry, Division of Molecular Psychiatry, Yale University School of Medicine, New Haven, CT 06511
- Department of Genetics, Wu Tsai Institute, Yale University School of Medicine, New Haven, CT 06511
| | - Hannah Young
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lee Dobbyn
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael Deans
- Department of Psychiatry, Division of Molecular Psychiatry, Yale University School of Medicine, New Haven, CT 06511
- Department of Genetics, Wu Tsai Institute, Yale University School of Medicine, New Haven, CT 06511
| | - Meilin Fernandez-Garcia
- Department of Psychiatry, Division of Molecular Psychiatry, Yale University School of Medicine, New Haven, CT 06511
- Department of Genetics, Wu Tsai Institute, Yale University School of Medicine, New Haven, CT 06511
| | - Laura M. Huckins
- Department of Psychiatry, Division of Molecular Psychiatry, Yale University School of Medicine, New Haven, CT 06511
| | - Kristen J. Brennand
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Psychiatry, Division of Molecular Psychiatry, Yale University School of Medicine, New Haven, CT 06511
- Department of Genetics, Wu Tsai Institute, Yale University School of Medicine, New Haven, CT 06511
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45
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Zhao Q, Baranova A, Cao H, Zhang F. Gut microbiome and major depressive disorder: insights from two-sample Mendelian randomization. BMC Psychiatry 2024; 24:493. [PMID: 38977973 PMCID: PMC11232322 DOI: 10.1186/s12888-024-05942-6] [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: 03/21/2024] [Accepted: 07/01/2024] [Indexed: 07/10/2024] Open
Abstract
BACKGROUND Existing evidence suggests that alterations in the gut microbiome are closely associated with major depressive disorder (MDD). We aimed to reveal the causal relationships between MDD and various microbial taxa in the gut. METHODS We used the two-sample Mendelian randomization (TSMR) to explore the bidirectional causal effects between gut microbiota and MDD. The genome-wide association studies summary results of gut microbiota were obtained from two large consortia, the MibioGen consortium and the Dutch Microbiome Project, which we analyzed separately. RESULTS Our TSMR analysis identified 10 gut bacterial taxa that were protective against MDD, including phylum Actinobacteria, order Clostridiales, and family Bifidobacteriaceae (OR: 0.96 ∼ 0.98). Ten taxa were associated with an increased risk of MDD, including phyla Firmicutes and Proteobacteria, class Actinobacteria, and genus Alistipes (OR: 1.01 ∼ 1.09). On the other hand, MDD may decrease the abundance of 12 taxa, including phyla Actinobacteria and Firmicutes, families Bifidobacteriaceae and Defluviitaleaceae (OR: 0.63 ∼ 0.88). MDD may increase the abundance of 8 taxa, including phylum Bacteroidetes, genera Parabacteroides, and Bacteroides (OR: 1.12 ∼ 1.43). CONCLUSIONS Our study supports that there are mutual causal relationships between certain gut microbiota and the development of MDD suggesting that gut microbiota may be targeted in the treatment of MDD.
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Affiliation(s)
- Qian Zhao
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Ancha Baranova
- School of Systems Biology, George Mason University, Fairfax, 22030, USA
- Research Centre for Medical Genetics, Moscow, 115478, Russia
| | - Hongbao Cao
- School of Systems Biology, George Mason University, Fairfax, 22030, USA
| | - Fuquan Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
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46
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Liu T, Wang Z, Kang X, Wang X, Ren G, Lv Y, Li J, Liu Y, Liang S, Nie Y, Luo H, Pan Y. Causal relationships between psychological disorders and functional gastrointestinal disorders: a bidirectional two-sample Mendelian randomization study. Eur J Gastroenterol Hepatol 2024:00042737-990000000-00383. [PMID: 38973539 DOI: 10.1097/meg.0000000000002825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/09/2024]
Abstract
BACKGROUND AND AIMS Observational studies have shown bidirectional associations between psychological disorders (e.g. depression and anxiety) and functional gastrointestinal disorders. However, whether the relationships are causal is uncertain. Here, we used a bidirectional two-sample Mendelian randomization method to investigate the association between psychological disorders and functional gastrointestinal disorders (FGIDs). METHODS We obtained genome-wide association study summary statistics for two common psychological disorders: depression (170 756 cases) and anxiety (31 977 cases), as well as for three common FGIDs: functional dyspepsia with 6666 cases, constipation with 26 919 cases, and irritable bowel syndrome (IBS) with 7053 cases. These summary statistics were retrieved from several publicly available genome-wide association study databases. The inverse variance weighted method was used as the main Mendelian randomization method. RESULTS Inverse variance weighted Mendelian randomization analyses showed statistically significant associations between genetically predicted depression and risk of functional dyspepsia [odds ratio (OR): 1.40, 95% confidence interval (CI): 1.08-1.82], constipation (OR: 1.28, 95% CI: 1.13-1.44), and IBS (OR: 1.51, 95% CI: 1.37-1.67). Genetically predicted anxiety was associated with a higher risk of IBS (OR: 1.13, 95% CI: 1.10-1.17) instead of functional dyspepsia and constipation. In addition, genetically predicted IBS instead of functional dyspepsia and constipation was associated with a higher risk of depression (OR: 1.33, 95% CI: 1.12-1.57) and anxiety (OR: 2.05, 95% CI: 1.05-4.03). CONCLUSION Depression is a causal risk factor for three common FGIDs. A bidirectional causal relationship between IBS and anxiety or depression was also identified.
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Affiliation(s)
- Tangyi Liu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, China
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47
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Strom NI, Verhulst B, Bacanu SA, Cheesman R, Purves KL, Gedik H, Mitchell BL, Kwong AS, Faucon AB, Singh K, Medland S, Colodro-Conde L, Krebs K, Hoffmann P, Herms S, Gehlen J, Ripke S, Awasthi S, Palviainen T, Tasanko EM, Peterson RE, Adkins DE, Shabalin AA, Adams MJ, Iveson MH, Campbell A, Thomas LF, Winsvold BS, Drange OK, Børte S, Ter Kuile AR, Nguyen TH, Meier SM, Corfield EC, Hannigan L, Levey DF, Czamara D, Weber H, Choi KW, Pistis G, Couvy-Duchesne B, Van der Auwera S, Teumer A, Karlsson R, Garcia-Argibay M, Lee D, Wang R, Bjerkeset O, Stordal E, Bäckmann J, Salum GA, Zai CC, Kennedy JL, Zai G, Tiwari AK, Heilmann-Heimbach S, Schmidt B, Kaprio J, Kennedy MM, Boden J, Havdahl A, Middeldorp CM, Lopes FL, Akula N, McMahon FJ, Binder EB, Fehm L, Ströhle A, Castelao E, Tiemeier H, Stein DJ, Whiteman D, Olsen C, Fuller Z, Wang X, Wray NR, Byrne EM, Lewis G, Timpson NJ, Davis LK, Hickie IB, Gillespie NA, Milani L, Schumacher J, Woldbye DP, Forstner AJ, Nöthen MM, Hovatta I, Horwood J, Copeland WE, Maes HH, McIntosh AM, Andreassen OA, Zwart JA, Mors O, Børglum AD, Mortensen PB, Ask H, Reichborn-Kjennerud T, Najman JM, Stein MB, Gelernter J, Milaneschi Y, Penninx BW, Boomsma DI, Maron E, Erhardt-Lehmann A, Rück C, Kircher TT, Melzig CA, Alpers GW, Arolt V, Domschke K, Smoller JW, Preisig M, Martin NG, Lupton MK, Luik AI, Reif A, Grabe HJ, Larsson H, Magnusson PK, Oldehinkel AJ, Hartman CA, Breen G, Docherty AR, Coon H, Conrad R, Lehto K, Deckert J, Eley TC, Mattheisen M, Hettema JM. Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.03.24309466. [PMID: 39006447 PMCID: PMC11245051 DOI: 10.1101/2024.07.03.24309466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
The major anxiety disorders (ANX; including generalized anxiety disorder, panic disorder, and phobias) are highly prevalent, often onset early, persist throughout life, and cause substantial global disability. Although distinct in their clinical presentations, they likely represent differential expressions of a dysregulated threat-response system. Here we present a genome-wide association meta-analysis comprising 122,341 European ancestry ANX cases and 729,881 controls. We identified 58 independent genome-wide significant ANX risk variants and 66 genes with robust biological support. In an independent sample of 1,175,012 self-report ANX cases and 1,956,379 controls, 51 of the 58 associated variants were replicated. As predicted by twin studies, we found substantial genetic correlation between ANX and depression, neuroticism, and other internalizing phenotypes. Follow-up analyses demonstrated enrichment in all major brain regions and highlighted GABAergic signaling as one potential mechanism underlying ANX genetic risk. These results advance our understanding of the genetic architecture of ANX and prioritize genes for functional follow-up studies.
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Affiliation(s)
- Nora I Strom
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Brad Verhulst
- Psychiatry and Behavioral Sciences, Texas A&M University, College Station, Texas, USA
| | | | - Rosa Cheesman
- PROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Kirstin L Purves
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hüseyin Gedik
- Institute for Genomics in Health, Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
- Life Sciences, Integrative Life Sciences Doctoral Program, Virginia Commonwealth University, Richmond, Virginia, USA
- Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Brittany L Mitchell
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, Queensland University , Brisbane, Queensland, Australia
| | - Alex S Kwong
- Bristol Medical School, Population Health Sciences, MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Centre for Clinical Brain Sciences, Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Annika B Faucon
- Division of Medicine, Human Genetics, Vanderbilt University, Nashville, Tennessee, USA
| | - Kritika Singh
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sarah Medland
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Lucia Colodro-Conde
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - Kristi Krebs
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Department of Biomedicine, Human Genomics Research Group, University of Basel; University Hospital Basel, Basel, Switzerland
| | - Stefan Herms
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Institute of Medical Genetics and Pathology, Medical Faculty, University Hospital Basel, Basel, Switzerland
- Department of Biomedicine, Human Genomics Research Group, University of Basel; University Hospital Basel, Basel, Switzerland
| | - Jan Gehlen
- Center for Human Genetics, University of Marburg, Marburg, Germany
| | - Stephan Ripke
- Dept. of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Swapnil Awasthi
- Dept. of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Teemu Palviainen
- Helsinki Institute of Life Science, Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Elisa M Tasanko
- Faculty of Medicine, Department of Psychology and Logopedics, SleepWell Research Program, University of Helsinki, Helsinki, Finland
| | - Roseann E Peterson
- Institute for Genomics in Health, Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
- Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Daniel E Adkins
- School of Medicine, Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
| | - Andrey A Shabalin
- School of Medicine, Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
| | - Mark J Adams
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Matthew H Iveson
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Archie Campbell
- College of Medicine and Veterinary Medicine, Institute of Genetics and Cancer; Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - Laurent F Thomas
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- BioCore - Bioinformatics Core Facility, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Bendik S Winsvold
- Division of Clinical Neuroscience, Department of Research and Innovation, Oslo University Hospital, Oslo, Norway
- Department of Public Health and Nursing, HUNT Center for Molecular and Clinical Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Ole Kristian Drange
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
- Division of Mental Health, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- NORMENT Centre, University of Oslo, Oslo, Norway
- Centre of Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Psychiatry, Sørlandet Hospital, Kristiansand, Norway
| | - Sigrid Børte
- Division of Clinical Neuroscience, Department of Research and Innovation; Musculoskeletal Health, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Public Health and Nursing, HUNT Center for Molecular and Clinical Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Abigail R Ter Kuile
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health and Care Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Tan-Hoang Nguyen
- Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Sandra M Meier
- Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Elizabeth C Corfield
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- Nic Waals Institute , Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Laurie Hannigan
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Daniel F Levey
- Department of Psychiatry, Division of Human Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Psychiatry, Research, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Darina Czamara
- Department of Genes and Environment, Max-Planck Institute of Psychiatry, Munich, Germany
| | - Heike Weber
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Würzburg, Germany
| | - Karmel W Choi
- Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
- Psychiatry, Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Giorgio Pistis
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Baptiste Couvy-Duchesne
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- ARAMIS laboratory, Paris Brain Institute, Paris, France
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Miguel Garcia-Argibay
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Donghyung Lee
- Department of Statistics, Miami University, Oxford, Ohio, USA
| | - Rujia Wang
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ottar Bjerkeset
- Faculty of Nursing and Health Science, Nord University, Levanger, Norway
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Eystein Stordal
- Department of Psychiatry, Hospital Namsos, Nord-Trøndelag Health Trustt, Namsos, Norway
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Julia Bäckmann
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Giovanni A Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Child Psychiatry, National Institute of Developmental Psychiatry, São Paulo, Brazil
| | - Clement C Zai
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Sciences Department, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Division of Neurosciences and Clinical Translation, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - James L Kennedy
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Sciences Department, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Division of Neurosciences and Clinical Translation, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Gwyneth Zai
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Sciences Department, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Division of Neurosciences and Clinical Translation, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Arun K Tiwari
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Sciences Department, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Division of Neurosciences and Clinical Translation, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Jaakko Kaprio
- Helsinki Institute of Life Science, Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Martin M Kennedy
- Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Joseph Boden
- Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Alexandra Havdahl
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- PROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway
- Bristol Medical School, Population Health Sciences, MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Christel M Middeldorp
- Child Health Research Centre, University of Queensland, Brisbane, Queensland, Australia
- Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, Queensland, Australia
| | - Fabiana L Lopes
- National Institute of Mental Health, Human Genetics Branch, National Institutes of Health, Bethesda, Maryland, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Nirmala Akula
- National Institute of Mental Health, Genetic Basis of Mood and Anxiety Disorders, National Institutes of Health, Bethesda, Maryland, USA
| | - Francis J McMahon
- National Institute of Mental Health, Genetic Basis of Mood and Anxiety Disorders, National Institutes of Health, Bethesda, Maryland, USA
- Psychiatry & Behavioral Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Elisabeth B Binder
- Department of Genes and Environment, Max-Planck Institute of Psychiatry, Munich, Germany
| | - Lydia Fehm
- Department of Psychology, Zentrum für Psychotherapie, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Andreas Ströhle
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Enrique Castelao
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Henning Tiemeier
- Social and Behavioral Science, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - David Whiteman
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Catherine Olsen
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | | | - Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Enda M Byrne
- Child Health Research Centre, University of Queensland, Brisbane, Queensland, Australia
| | - Glyn Lewis
- UCL Division of Psychiatry, University College London, London, UK
| | - Nicholas J Timpson
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | | | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - David P Woldbye
- Department of Neuroscience, Laboratory of Neural Plasticity, University of Copenhagen, Copenhagen, Denmark
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
- Center for Human Genetics, University of Marburg, Marburg, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Iiris Hovatta
- Faculty of Medicine, Department of Psychology and Logopedics and SleepWell Research Program, University of Helsinki, Helsinki, Finland
| | - John Horwood
- Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - William E Copeland
- UVM Medical Center, Department of Psychiatry, University of Vermont, Burlington, Vermont, USA
| | - Hermine H Maes
- Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
- Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Andrew M McIntosh
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Ole A Andreassen
- NORMENT Centre, University of Oslo, Oslo, Norway
- Centre of Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- K. G. Jebsen Center for Neurodevelopmental disorders, University of Oslo, Oslo, Norway
| | - John-Anker Zwart
- Division of Clinical Neuroscience, Department of Research and Innovation; Musculoskeletal Health, Oslo University Hospital, Oslo, Norway
- Department of Public Health and Nursing, HUNT Center for Molecular and Clinical Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole Mors
- Department of Psychiatry, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, Denmark
| | - Anders D Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalised Medicine, Aarhus University, Aarhus, Denmark
| | - Preben B Mortensen
- The National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Helga Ask
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- PROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Ted Reichborn-Kjennerud
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- NORMENT Centre, University of Oslo, Oslo, Norway
| | - Jackob M Najman
- Faculty of Medicine, School of Public Health, University of Queensland, Herston, Queensland, Australia
| | - Murray B Stein
- Psychiatry, University of California San Diego, La Jolla, CA, USA
- School of Public Health, University of California San Diego, La Jolla, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, Division of Human Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Psychiatry Research, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
- Departments of Genetics and Neuroscience, Yale University of Medicine, New Haven, Connecticut, USA
| | - Yuri Milaneschi
- Amsterdam Neuroscience; Amsterdam Public Health, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Brenda W Penninx
- Amsterdam Neuroscience; Amsterdam Public Health, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Dorret I Boomsma
- Twin Register and Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Public Health, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Eduard Maron
- Psychiatry, University of Tartu, Tartu, Estonia
- Department of Medicine, Centre for Neuropsychopharmacology,, Division of Brain Sciences, Imperial College London, London, UK
| | - Angelika Erhardt-Lehmann
- Department of Genes and Environment, Max-Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Tilo T Kircher
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Christiane A Melzig
- Psychology, Clinical Psychology, Experimental Psychopathology and Psychotherapy, University of Marburg, Marburg, Germany
- Psychology, Biological and Clinical Psychology, University of Greifswald, Greifswald, Germany
| | - Georg W Alpers
- School of Social Sciences, Department of Psychology, University of Mannheim, Mannheim, Germany
| | - Volker Arolt
- Department of Mental Health, Institute for Translational Psychiatry, University of Muenster, Muenster, Germany
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Center for Mental Health (DZPG), Partner Site Berlin, Berlin, Germany
| | - Jordan W Smoller
- Psychiatry, Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Martin Preisig
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Nicholas G Martin
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Michelle K Lupton
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, Queensland University , Brisbane, Queensland, Australia
- Faculty of Health, Queensland University of technology, Queensland, Australia
| | - Annemarie I Luik
- Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt - Goethe University, Frankfurt, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Henrik Larsson
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Patrik K Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Albertine J Oldehinkel
- Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Catharina A Hartman
- Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Anna R Docherty
- School of Medicine, Psychiatry, University of Utah, Salt Lake City, Utah, USA
- School of Medicine, Psychiatry; Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
- Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Hilary Coon
- School of Medicine, Psychiatry, University of Utah, Salt Lake City, Utah, USA
| | - Rupert Conrad
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Münster, Münster, Germany
| | - Kelli Lehto
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Manuel Mattheisen
- Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
- Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - John M Hettema
- Psychiatry and Behavioral Sciences, Texas A&M University, Bryan, Texas, USA
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48
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Carey CE, Shafee R, Wedow R, Elliott A, Palmer DS, Compitello J, Kanai M, Abbott L, Schultz P, Karczewski KJ, Bryant SC, Cusick CM, Churchhouse C, Howrigan DP, King D, Davey Smith G, Neale BM, Walters RK, Robinson EB. Principled distillation of UK Biobank phenotype data reveals underlying structure in human variation. Nat Hum Behav 2024:10.1038/s41562-024-01909-5. [PMID: 38965376 DOI: 10.1038/s41562-024-01909-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 05/14/2024] [Indexed: 07/06/2024]
Abstract
Data within biobanks capture broad yet detailed indices of human variation, but biobank-wide insights can be difficult to extract due to complexity and scale. Here, using large-scale factor analysis, we distill hundreds of variables (diagnoses, assessments and survey items) into 35 latent constructs, using data from unrelated individuals with predominantly estimated European genetic ancestry in UK Biobank. These factors recapitulate known disease classifications, disentangle elements of socioeconomic status, highlight the relevance of psychiatric constructs to health and improve measurement of pro-health behaviours. We go on to demonstrate the power of this approach to clarify genetic signal, enhance discovery and identify associations between underlying phenotypic structure and health outcomes. In building a deeper understanding of ways in which constructs such as socioeconomic status, trauma, or physical activity are structured in the dataset, we emphasize the importance of considering the interwoven nature of the human phenome when evaluating public health patterns.
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Affiliation(s)
- Caitlin E Carey
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
| | - Rebecca Shafee
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, MD, USA
| | - Robbee Wedow
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Sociology, Purdue University, West Lafayette, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- AnalytiXIN, Indianapolis, IN, USA
- Center on Aging and the Life Course, Purdue University, West Lafayette, IN, USA
- Department of Statistics, Purdue University, West Lafayette, IN, USA
| | - Amanda Elliott
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Duncan S Palmer
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Nuffield Department of Population Health, Medical Sciences Division University of Oxford, Oxford, UK
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - John Compitello
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Masahiro Kanai
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Liam Abbott
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Patrick Schultz
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Konrad J Karczewski
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Samuel C Bryant
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Caroline M Cusick
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Claire Churchhouse
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel P Howrigan
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel King
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - George Davey Smith
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Benjamin M Neale
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Raymond K Walters
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
| | - Elise B Robinson
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
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49
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Henry M, Chen LM, Ducharme L, Devault-Tousignant C, Rosberger Z, Frenkiel S, Hier M, Zeitouni A, Kost K, Mlynarek A, Richardson K, Chartier G, Mascarella M, Sadeghi N, Sultanem K, Shenouda G, Cury FL, Meaney M. Genetic Risk For Depression and Quality of Life in Patients With Head and Neck Cancer. JAMA Otolaryngol Head Neck Surg 2024; 150:598-606. [PMID: 38814668 PMCID: PMC11140576 DOI: 10.1001/jamaoto.2024.0376] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 04/05/2024] [Indexed: 05/31/2024]
Abstract
Importance Although patients with head and neck cancer (HNC) have been shown to experience high distress, few longitudinal studies include a comprehensive evaluation of biopsychosocial factors affecting quality of life (QoL), including genetic risk for depression. Objective To identify factors at the time of cancer diagnosis associated with QoL scores at 3 months after treatment in patients newly diagnosed with a first occurrence of HNC. Design, Setting, and Participants This prospective longitudinal study of 1464 participants with a 3-month follow-up, including structured clinical interviews and self-administered measures was carried out at the Department of Otolaryngology Head and Neck Surgery at 2 tertiary care McGill University Affiliated Hospitals, McGill University Health Centre, and Jewish General Hospital. Eligible patients were adults newly diagnosed within 2 weeks with a primary first occurrence of HNC, had a Karnofsky Performance Scale score higher than 60, and an expected survival of more than 6 months. Two hundred and twenty-three patients (72%) consented to participate and completed the baseline questionnaire, and 71% completed the 3-month follow-up measures. Exposures An a priori conceptual model including sociodemographics, medical variables, psychosocial risk factors, and a polygenic risk score for depression (PRS-D) was tested. Main outcomes and measures The Functional Assessment of Cancer Therapy-Head and Neck measured QoL at baseline and at 3 months. Results Participants were mostly men (68.7%), with a mean (range) age of 62.9 (31-92) years, 36.6% having a university degree, 35.6% living alone, and 71.4% diagnosed with advanced HNC with mostly cancers being of the oropharynx (42.2%), oral cavity (17%), and larynx (16.3%). QoL at 3 months after HNC diagnosis was associated with higher PRS-D (B = -4.71; 95% CI, -9.18 to -0.23), and a diagnosis of major depressive disorder within 2 weeks of an HNC diagnosis (B = -32.24; 95% CI, -51.47 to 13.02), lifetime suicidal ideation (B = -22.39; 95% CI, -36.14 to -8.65), living with someone (B = 12.48; 95% CI, 3.43-21.52), having smoked cigarettes in the past 30 days pre-HNC diagnosis (B = -15.50; 95% CI, -26.07 to -4.93), chemotherapy type (B = -11.13; 95% CI, -21.23 to -1.02), and total radiotherapy dose (Gy) (B = -0.008; 95% CI, -0.01 to -0.002). Conclusions and relevance This study identified the predictive value of a genetic predisposition to depression on QoL and function immediately after oncologic treatments. These findings highlight the potential importance of genetic profiling pretreatment to identify those most susceptible to experience QoL and functional compromise. Depression is a clear area of public health concern and should be a central focus in the treatment of patients with HNC.
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Affiliation(s)
- Melissa Henry
- McGill University, Montreal, Quebec, Canada
- Jewish General Hospital, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Montreal, Quebec, Canada
| | | | - Laurence Ducharme
- McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Montreal, Quebec, Canada
| | | | - Zeev Rosberger
- McGill University, Montreal, Quebec, Canada
- Jewish General Hospital, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Montreal, Quebec, Canada
| | - Saul Frenkiel
- McGill University, Montreal, Quebec, Canada
- Jewish General Hospital, McGill University, Montreal, Quebec, Canada
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Michael Hier
- McGill University, Montreal, Quebec, Canada
- Jewish General Hospital, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Montreal, Quebec, Canada
| | - Anthony Zeitouni
- McGill University, Montreal, Quebec, Canada
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Karen Kost
- McGill University, Montreal, Quebec, Canada
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Alex Mlynarek
- McGill University, Montreal, Quebec, Canada
- Jewish General Hospital, McGill University, Montreal, Quebec, Canada
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Keith Richardson
- McGill University, Montreal, Quebec, Canada
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | | | - Marco Mascarella
- McGill University, Montreal, Quebec, Canada
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Nader Sadeghi
- McGill University, Montreal, Quebec, Canada
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Khalil Sultanem
- McGill University, Montreal, Quebec, Canada
- Jewish General Hospital, McGill University, Montreal, Quebec, Canada
| | - Georges Shenouda
- McGill University, Montreal, Quebec, Canada
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Fabio L. Cury
- McGill University, Montreal, Quebec, Canada
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Michael Meaney
- McGill University, Montreal, Quebec, Canada
- Douglas Hospital, Montreal, Quebec, Canada
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50
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Gustavson DE, Stern EF, Reynolds CA, Grotzinger AD, Corley RP, Wadsworth SJ, Rhee SH, Friedman NP. Evidence for strong genetic correlations among internalizing psychopathology and related self-reported measures using both genomic and twin/adoptive approaches. JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE 2024; 133:347-357. [PMID: 38722592 PMCID: PMC11232111 DOI: 10.1037/abn0000905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
The internalizing construct captures shared variance underlying risk for mood and anxiety disorders. Internalizing factors based on diagnoses (or symptoms) of major depressive disorder (MDD) and generalized anxiety disorder (GAD) are well established. Studies have also integrated self-reported measures of associated traits (e.g., questionnaires assessing neuroticism, worry, and rumination) onto these factors, despite having not tested the assumption that these measures truly capture the same sets of risk factors. This study examined the overlap among both sets of measures using converging approaches. First, using genomic structural equation modeling, we constructed internalizing factors based on genome-wide association studies (GWASs) of internalizing diagnoses (e.g., MDD) and traits associated with internalizing (neuroticism, loneliness, and reverse-scored subjective well-being). Results indicated the two factors were highly (rg = .79) but not perfectly genetically correlated (rg < 1.0, p < .001). Second, we constructed similar latent factors in a combined twin/adoption sample of adults from the Colorado Adoption/Twin Study of Lifespan Behavioral Development and Cognitive Aging. Again, both factors demonstrated strong overlap at the level of genetic (rg = .76, 95% confidence interval [CI] [0.40, 0.97]) and nonshared environmental influences (re = .80, 95% CI [0.53, 1.0]). Shared environmental influences were estimated near zero for both factors. Our findings are consistent with current frameworks of psychopathology, though they suggest there are some unique genetic influences captured by internalizing diagnosis compared to trait measures, with potentially more nonadditive genetic influences on trait measures. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
| | - Elisa F Stern
- Institute for Behavioral Genetics, University of Colorado Boulder
| | | | | | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado Boulder
| | | | - Soo H Rhee
- Institute for Behavioral Genetics, University of Colorado Boulder
| | - Naomi P Friedman
- Institute for Behavioral Genetics, University of Colorado Boulder
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