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Sunita Prajapati K, Gupta S, Chaudhri S, Kumar S. Role of ONECUT family transcription factors in cancer and other diseases. Exp Cell Res 2024; 438:114035. [PMID: 38593917 DOI: 10.1016/j.yexcr.2024.114035] [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: 10/05/2023] [Revised: 04/04/2024] [Accepted: 04/06/2024] [Indexed: 04/11/2024]
Abstract
Members of ONECUT transcription factor play an essential role in several developmental processes, however, the atypical expression of ONECUT proteins lead to numerous diseases, including cancer. ONECUT family proteins promote cell proliferation, progression, invasion, metastasis, angiogenesis, and stemness. This family of proteins interacts with other proteins such as KLF4, TGF-β, VEGFA, PRC2, SMAD3 and alters their expression involved in the regulation of various signaling pathways including Jak/Stat3, Akt/Erk, TGF-β, Smad2/3, and HIF-1α. Furthermore, ONECUT proteins are proposed as predictive biomarkers for pancreatic and gastric cancers. The present review summarizes the involvement of ONECUT family proteins in the development and progression of various human cancers and other diseases.
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Affiliation(s)
- Kumari Sunita Prajapati
- Molecular Signaling & Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Guddha, Bathinda, 151401, Punjab, India
| | - Sanjay Gupta
- Department of Urology, Case Western Reserve University, School of Medicine, Cleveland, OH, 44106, USA
| | - Smriti Chaudhri
- Molecular Signaling & Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Guddha, Bathinda, 151401, Punjab, India
| | - Shashank Kumar
- Molecular Signaling & Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Guddha, Bathinda, 151401, Punjab, India.
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2
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Intson K, Geissah S, McCullumsmith RE, Ramsey AJ. A role for endothelial NMDA receptors in the pathophysiology of schizophrenia. Schizophr Res 2022; 249:63-73. [PMID: 33189520 PMCID: PMC11740474 DOI: 10.1016/j.schres.2020.10.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 10/05/2020] [Accepted: 10/07/2020] [Indexed: 12/14/2022]
Abstract
Numerous genetic and postmortem studies link N-methyl-d-aspartate receptor (NMDAR) dysfunction with schizophrenia, forming the basis of the popular glutamate hypothesis. Neuronal NMDAR abnormalities are consistently reported from both basic and clinical experiments, however, non-neuronal cells also contain NMDARs, and are rarely, if ever, considered in the discussion of glutamate action in schizophrenia. We offer an examination of recent discoveries elucidating the actions and consequences of NMDAR activation in the neuroendothelium. While there has been mixed literature regarding blood flow alterations in the schizophrenia brain, in this review, we posit that some common findings may be explained by neuroendothelial NMDAR dysfunction. In particular, we emphasize that endothelial NMDARs are key mediators of neurovascular coupling, where increased neuronal activity leads to increased blood flow. Based on the broad conclusions that hypoperfusion is a neuroanatomical finding in schizophrenia, we discuss potential mechanisms by which endothelial NMDARs contribute to this disorder. We propose that endothelial NMDAR dysfunction can be a primary cause of neurovascular abnormalities in schizophrenia. Importantly, functional MRI studies using BOLD signal as a proxy for neuron activity should be considered in a new light if neurovascular coupling is impaired in schizophrenia. This review is the first to propose that NMDARs in non-excitable cells play a role in schizophrenia.
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Affiliation(s)
- Katheron Intson
- Department of Pharmacology and Toxicology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Salma Geissah
- Department of Biochemistry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Amy J Ramsey
- Department of Pharmacology and Toxicology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
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3
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Castagnini A, Foldager L, Caffo E, Berrios GE. The predictive validity and outcome of ICD-10 and DSM-5 short-lived psychotic disorders: a review and meta-analysis. Eur Arch Psychiatry Clin Neurosci 2022; 272:1157-1168. [PMID: 34988647 DOI: 10.1007/s00406-021-01356-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 11/08/2021] [Indexed: 11/30/2022]
Abstract
The ICD-10 Classification of Mental and Behavioural Disorders introduced the category of 'acute and transient psychotic disorders' (ATPDs) encompassing polymorphic, schizophrenic and predominantly delusional subtypes, and the forthcoming ICD-11 revision has restricted it to polymorphic psychotic disorder, while the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) listed 'brief psychotic disorder' (BPD). To assess the predictive validity and outcome of ATPDs and BPD, relevant papers in English, French and German were searched in PubMed and Web of Science. Where possible meta-analysis of prognostic validators (diagnostic stability, course, outcome and response to treatment) was conducted. Fifty studies published between January 1993 and July 2019 were found. The clinical and functional outcome of ATPDs proved better than in schizophrenia and related disorders, but mortality risk is high, particularly suicide, and treatment trials provide little evidence. Meta-analysis of 25 studies (13,507 cases) revealed that 55% (95% CI 49-62) do not change diagnosis, 25% (95% CI 20-31) converted into schizophrenia and related disorders, and 12% (95% CI 7-16) into affective disorders on average over 6.3 years. Subgroup meta-analysis estimated prospective consistency of polymorphic psychotic disorder (55%; 95% CI 52-58) significantly greater than that of the ATPD subtypes with schizophrenic (OR 1.7; 95% CI 1.4-2.0) and predominantly delusional (OR 1.3; 95% CI 1.1-1.5) symptoms. Moreover, the diagnostic stability of BPD (13 studies; 294 cases) was 45% (95% CI 32-50) over a mean 4.2 years. Although these findings indicate that short-lived psychotic disorders have little predictive validity, significant differences among the ATPD subtypes support the revised ICD-11 ATPD category.
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Affiliation(s)
- Augusto Castagnini
- School of Child Neuropsychiatry, University of Modena and Reggio Emilia, Modena, Italy.
| | - Leslie Foldager
- Health Research Unit, Department of Animal Science, Aarhus University, Tjele, Denmark.,Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Ernesto Caffo
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - German E Berrios
- Department of Psychiatry and Robinson College, University of Cambridge, Cambridge, UK
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4
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Hinotsu K, Miyaji C, Yada Y, Kawai H, Sakamoto S, Okahisa Y, Tsutsui K, Kanbayashi T, Tanaka K, Takao S, Kishi Y, Takaki M, Yamada N. The validity of atypical psychosis diagnostic criteria to detect anti-NMDA receptor encephalitis with psychiatric symptoms. Schizophr Res 2022; 248:292-299. [PMID: 36130472 DOI: 10.1016/j.schres.2022.08.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 07/06/2022] [Accepted: 08/24/2022] [Indexed: 11/16/2022]
Abstract
Anti-NMDAR encephalitis has a psychotic presentation that is difficult to distinguish from primary psychosis. An atypical psychosis that is similar to schizophrenia, mood disorder, and epilepsy is unique, and the original diagnostic criteria exist only in Japan. The clinical symptoms and courses of anti-NMDAR encephalitis and atypical psychosis are very similar. We investigated whether the diagnostic criteria of atypical psychosis are useful to increase the detection rate of anti-NMDAR encephalitis with psychiatric symptoms. The presence of anti-NR1/NR2B IgG antibodies in the cerebrospinal fluid of 218 newly admitted inpatients initially diagnosed with schizophrenia (n = 151), mood disorder (n = 47), or epilepsy with psychiatric symptoms (n = 20) was assessed by cell-based assay. Of 218 patients, 123 (36.3 years ± SD 17.2, 69.9 % females) fulfilled the diagnostic criteria of category B for atypical psychosis. All 12 patients (9.8 %, 12/123) with anti-NR1/NR2B IgG antibodies fulfilled category B of atypical psychosis statistically better than the patients without anti-NR1/NR2B IgG antibodies (P = 0.0009). Of the 12 patients with anti-NMDAR antibodies, two did not fulfill either criteria of catatonia (DSM-5) or Graus' diagnostic criteria of anti-NMDAR encephalitis during the time course, and 11 patients showed good prognosis with early immunotherapies. In ROC analysis, abnormal electroencephalogram findings showed the highest sensitivity (0.833) for detection of anti-NR1/NR2B IgG antibodies, and 31.3 % of patients with category B atypical psychosis and abnormal electroencephalogram findings had anti-NMDAR antibodies. Lumbar puncture and detection of anti-NMDAR antibodies should be considered for patients who fulfill atypical psychosis diagnosis criteria with an abnormal electroencephalogram.
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Affiliation(s)
- Kenji Hinotsu
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan
| | - Chikara Miyaji
- Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan
| | - Yuji Yada
- Okayama Psychiatric Medical Center, Japan
| | - Hiroki Kawai
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan
| | - Shinji Sakamoto
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan
| | - Yuko Okahisa
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan
| | - Ko Tsutsui
- Department of Neuropsychiatry, Akita University Graduate School of Medicine, Japan; Kato Hospital, Japan
| | - Takashi Kanbayashi
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Japan; Ibaraki Prefectural Medical Center of Psychiatry, Kasama, Japan
| | - Keiko Tanaka
- Brain Research Institute, Niigata University Graduate School of Medicine, Japan
| | - Soshi Takao
- Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan
| | | | - Manabu Takaki
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan.
| | - Norihito Yamada
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan
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5
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Ahangari M, Gentry AE, Nguyen TH, Kirkpatrick R, Verrelli BC, Bacanu SA, Kendler KS, Webb BT, Riley BP. Evaluating the role of common risk variation in the recurrence risk of schizophrenia in multiplex schizophrenia families. Transl Psychiatry 2022; 12:291. [PMID: 35864105 PMCID: PMC9304393 DOI: 10.1038/s41398-022-02060-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/05/2022] [Indexed: 12/13/2022] Open
Abstract
Multiplex families have higher recurrence risk of schizophrenia compared to the families of sporadic cases, but the source of this increased recurrence risk is unknown. We used schizophrenia genome-wide association study data (N = 156,509) to construct polygenic risk scores (PRS) in 1005 individuals from 257 multiplex schizophrenia families, 2114 ancestry-matched sporadic cases, and 2205 population controls, to evaluate whether increased PRS can explain the higher recurrence risk of schizophrenia in multiplex families compared to ancestry-matched sporadic cases. Using mixed-effects logistic regression with family structure modeled as a random effect, we show that SCZ PRS in familial cases does not differ significantly from sporadic cases either with, or without family history (FH) of psychotic disorders (All sporadic cases p = 0.90, FH+ cases p = 0.88, FH- cases p = 0.82). These results indicate that increased burden of common schizophrenia risk variation as indexed by current SCZ PRS, is unlikely to account for the higher recurrence risk of schizophrenia in multiplex families. In the absence of elevated PRS, segregation of rare risk variation or environmental influences unique to the families may explain the increased familial recurrence risk. These findings also further validate a genetically influenced psychosis spectrum, as shown by a continuous increase of common SCZ risk variation burden from unaffected relatives to schizophrenia cases in multiplex families. Finally, these results suggest that common risk variation loading are unlikely to be predictive of schizophrenia recurrence risk in the families of index probands, and additional components of genetic risk must be identified and included in order to improve recurrence risk prediction.
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Affiliation(s)
- Mohammad Ahangari
- grid.224260.00000 0004 0458 8737Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA USA ,grid.224260.00000 0004 0458 8737Integrative Life Sciences PhD Program, Virginia Commonwealth University, Richmond, VA USA
| | - Amanda E. Gentry
- grid.224260.00000 0004 0458 8737Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA USA
| | | | - Tan-Hoang Nguyen
- grid.224260.00000 0004 0458 8737Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA USA ,grid.224260.00000 0004 0458 8737Department of Psychiatry, Virginia Commonwealth University, Richmond, VA USA
| | - Robert Kirkpatrick
- grid.224260.00000 0004 0458 8737Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA USA ,grid.224260.00000 0004 0458 8737Department of Psychiatry, Virginia Commonwealth University, Richmond, VA USA
| | - Brian C. Verrelli
- grid.224260.00000 0004 0458 8737Center for Biological Data Science, Virginia Commonwealth University, Richmond, VA USA
| | - Silviu-Alin Bacanu
- grid.224260.00000 0004 0458 8737Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA USA ,grid.224260.00000 0004 0458 8737Department of Psychiatry, Virginia Commonwealth University, Richmond, VA USA
| | - Kenneth S. Kendler
- grid.224260.00000 0004 0458 8737Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA USA ,grid.224260.00000 0004 0458 8737Department of Psychiatry, Virginia Commonwealth University, Richmond, VA USA ,grid.224260.00000 0004 0458 8737Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA USA
| | - Bradley T. Webb
- grid.505215.6GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI, Richmond, VA USA
| | - Brien P. Riley
- grid.224260.00000 0004 0458 8737Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA USA ,grid.224260.00000 0004 0458 8737Department of Psychiatry, Virginia Commonwealth University, Richmond, VA USA ,grid.224260.00000 0004 0458 8737Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA USA
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6
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Sreeraj VS, Holla B, Ithal D, Nadella RK, Mahadevan J, Balachander S, Ali F, Sheth S, Narayanaswamy JC, Venkatasubramanian G, John JP, Varghese M, Benegal V, Jain S, Reddy YJ, Viswanath B. Psychiatric symptoms and syndromes transcending diagnostic boundaries in Indian multiplex families: The cohort of ADBS study. Psychiatry Res 2021; 296:113647. [PMID: 33429328 DOI: 10.1016/j.psychres.2020.113647] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 12/11/2020] [Indexed: 02/06/2023]
Abstract
Syndromes of schizophrenia, bipolar disorder, obsessive-compulsive disorder, substance use disorders and Alzheimer's dementia are highly heritable. About 10-20% of subjects have another affected first degree relative (FDR), and thus represent a 'greater' genetic susceptibility. We screened 3583 families to identify 481 families with multiple affected members, assessed 1406 individuals in person, and collected information systematically about other relatives. Within the selected families, a third of all FDRs were affected with serious mental illness. Although similar diagnoses aggregated within families, 62% of the families also had members with other syndromes. Moreover, 15% of affected individuals met criteria for co-occurrence of two or more syndromes, across their lifetime. Using dimensional assessments, we detected a range of symptom clusters in both affected and unaffected individuals, and across diagnostic categories. Our findings suggest that in multiplex families, there is considerable heterogeneity of clinical syndromes, as well as sub-threshold symptoms. These families would help provide an opportunity for further research using both genetic analyses and biomarkers.
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Affiliation(s)
- Vanteemar S Sreeraj
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Bharath Holla
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Dhruva Ithal
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Ravi Kumar Nadella
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Jayant Mahadevan
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Srinivas Balachander
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Furkhan Ali
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Sweta Sheth
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Janardhanan C Narayanaswamy
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - John P John
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Mathew Varghese
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Vivek Benegal
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Sanjeev Jain
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Yc Janardhan Reddy
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
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- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India
| | - Biju Viswanath
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India.
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7
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Feng X, Hao X, Shi R, Xia Z, Huang L, Yu Q, Zhou F. Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis. Front Genet 2020; 11:238. [PMID: 32292416 PMCID: PMC7119472 DOI: 10.3389/fgene.2020.00238] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 02/28/2020] [Indexed: 01/05/2023] Open
Abstract
Rheumatoid arthritis (RA) is a common autoimmune disorder influenced by both genetic and environmental factors. To investigate possible contributions of DNA methylation to the etiology of RA with minimum confounding genetic heterogeneity, we investigated genome-wide DNA methylation in disease-discordant monozygotic twin pairs. This study hypothesized that methylomic biomarkers might facilitate accurate RA detection. A comprehensive series of biomarker detection algorithms were utilized to find the best methylomic biomarkers for detecting RA patients using the methylomic data of the peripheral blood samples. The best model achieved 100.00% in accuracy (Acc) with 81 methylomic biomarkers and a 10-fold cross-validation (10FCV) strategy. Some of the methylomic biomarkers were experimentally confirmed to be associated with the onset or development of RA. It is also interesting to observe that many of the detected biomarkers were from chromosome Y, supporting the knowledge that RA has a significant gender discrepancy.
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Affiliation(s)
- Xin Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.,Jilin Institute of Chemical Technology, Jilin, China.,BioKnow Health Informatics Lab, College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China
| | - Xubing Hao
- BioKnow Health Informatics Lab, College of Software, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China
| | - Ruoyao Shi
- BioKnow Health Informatics Lab, College of Life Sciences, Jilin University, Changchun, China
| | - Zhiqiang Xia
- BioKnow Health Informatics Lab, College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China
| | - Lan Huang
- College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China
| | - Qiong Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Fengfeng Zhou
- BioKnow Health Informatics Lab, College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China
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8
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Vosberg DE, Leyton M, Flores C. The Netrin-1/DCC guidance system: dopamine pathway maturation and psychiatric disorders emerging in adolescence. Mol Psychiatry 2020; 25:297-307. [PMID: 31659271 PMCID: PMC6974431 DOI: 10.1038/s41380-019-0561-7] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 08/01/2019] [Accepted: 08/19/2019] [Indexed: 02/02/2023]
Abstract
Axon guidance molecules direct growing axons toward their targets, assembling the intricate wiring of the nervous system. One of these molecules, Netrin-1, and its receptor, DCC (deleted in colorectal cancer), has profound effects, in laboratory animals, on the adolescent expansion of mesocorticolimbic pathways, particularly dopamine. Now, a rapidly growing literature suggests that (1) these same alterations could occur in humans, and (2) genetic variants in Netrin-1 and DCC are associated with depression, schizophrenia, and substance use. Together, these findings provide compelling evidence that Netrin-1 and DCC influence mesocorticolimbic-related psychopathological states that emerge during adolescence.
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Affiliation(s)
- Daniel E Vosberg
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada
- Population Neuroscience and Developmental Neuroimaging, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Marco Leyton
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada.
- Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
| | - Cecilia Flores
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada.
- Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
- Douglas Mental Health University Institute, Montreal, QC, Canada.
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