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Elder TR, Turner JR. Nicotine use disorder and Neuregulin 3: Opportunities for precision medicine. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2024; 99:387-404. [PMID: 38467488 DOI: 10.1016/bs.apha.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
Nicotine use disorder remains a major public health emergency despite years of trumpeting the consequences of smoking. This is likely due to the complex interplay of genetics and nicotine exposure across the lifespan of these individuals. Genetics influence all aspects of life, including complex disorders such as nicotine use disorder. This review first highlights the critical neurocircuitry underlying nicotine dependence and withdrawal, and then describes the cellular signaling mechanisms involved. Finally, current genetic, genomic, and transcriptomic evidence for new drug development of smoking cessation aids is discussed, with a focus on the Neuregulin 3 Signaling Pathway.
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Affiliation(s)
- Taylor R Elder
- Department of Pharmaceutical Sciences, University of Kentucky College of Pharmacy, Lexington, KY, United States
| | - Jill R Turner
- Department of Pharmaceutical Sciences, University of Kentucky College of Pharmacy, Lexington, KY, United States.
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2
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Yuan D, Wu J, Li S, Zhang R, Zhou X, Zhang Y. Network analysis of cold cognition and depression in middle-aged and elder population: the moderation of grandparenting. Front Public Health 2023; 11:1204977. [PMID: 37674685 PMCID: PMC10479032 DOI: 10.3389/fpubh.2023.1204977] [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: 04/13/2023] [Accepted: 07/27/2023] [Indexed: 09/08/2023] Open
Abstract
Background Cognitive decline and negative emotions are common in aging, especially decline in cold cognition which often co-occurred with depression in middle-aged and older adults. This study analyzed the interactions between cold cognition and depression in the middle-aged and elder populations using network analysis and explored the effects of grandparenting on the cold cognition-depression network. Methods The data of 6,900 individuals (≥ 45 years) from the China Health and Retirement Longitudinal Study (CHARLS) were used. The Minimum Mental State Examination (MMSE) and the Epidemiology Research Center Depression Scale-10 (CESD-10) were used to assess cold cognition and depressive symptoms, respectively. Centrality indices and bridge centrality indices were used to identify central nodes and bridge nodes, respectively. Results Network analysis showed that nodes "language ability" and "depressed mood" were more central nodes in the network of cold cognition and depression in all participants. Meantime, nodes "attention," "language ability" and "hopeless" were three key bridge nodes connecting cold cognition and depressive symptoms. Additionally, the global connectivity of the cold cognition and depression network was stronger in the non-grandparenting than the grandparenting. Conclusion The findings shed a light on the complex interactions between cold cognition and depression in the middle-aged and elder populations. Decline in language ability and depressed mood can serve as predictors for the emergence of cold cognitive dysfunction and depression in individuals during aging. Attention, language ability and hopelessness are potential targets for psychosocial interventions. Furthermore, grandparenting is effective in alleviating cold cognitive dysfunction and depression that occur during individual aging.
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Affiliation(s)
- Dongling Yuan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jialing Wu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Shansi Li
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ruoyi Zhang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiao Zhou
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yi Zhang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
- Medical Psychological Institute of Central South University, Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders (Xiangya), Changsha, China
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Kara HG, Erdal ME, Yılmaz SG, Şengül C, Şengül CB, Karakülah K. Association of NRG3 and ERBB4 gene polymorphism with nicotine dependence in Turkish population. Mol Biol Rep 2021; 48:5319-5326. [PMID: 34247340 DOI: 10.1007/s11033-021-06548-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 07/06/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Nicotine dependence (ND) is characterized by regular smoking, anxiety, irritation, difficulty concentrating, impatience, restlessness, tremor, dizziness, hunger, nicotine demand, and the individual's reluctance to quit despite knowing the health risks of smoking. Recently, it has been reported that the Neuregulin 3 (NRG3)/Erb-B2 receptor tyrosine kinase 4 (ERBB4) signaling pathway plays a role in ND. NRG3, which is activated after nicotine intake, binds to ERBB4 and causes GABA release. GABA reduces anxiety and tension, which are one of the nicotine withdrawal symptoms. Therefore we aimed to investigate the relationship between NRG3 and ERBB4 gene polymorphisms and ND. MATERIALS AND METHODS The study population was comprised of patients with ND (n = 200) and healthy non-smoker control subjects (n = 200) who were matched for age, sex, and compared for comorbidity factors such as alcohol, smoking, duration, and education (age range 18-60). Genotypes were detected by Real-Time PCR using TaqMan technology. The Fagerström Nicotine Dependence Test (FTND) score was 5 and above for the patient group and 0 for the control group. DNA was obtained from whole peripheral blood and six polymorphisms of Neuregulin 3 (NRG3) (rs1836724, rs7562566, and rs10048757) and Erb-B2 Receptor Tyrosine Kinase 4 (ERBB4) (rs1764072, rs6584400, and rs10883934) genes were analyzed by real-time PCR method. RESULTS Our findings show that the six selected SNPs are not significantly associated with ND in the Turkish population and no correlation with dependence levels (p > 0.05). CONCLUSION Although our findings do not show a relationship between ND and these polymorphisms, it is the first study to investigate these single nucleotide polymorphisms (SNPs) for the first time in ND and to find some genotypes in the Turkish population when compared to other populations. Also, our findings are important in terms of their contribution to the literature and forensic genetics.
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Affiliation(s)
- Hale Güler Kara
- Department of Medical Biology, Faculty of Medicine, Ege University, 35100, Izmir, Turkey.
- Unye State Hospital, Ordu, Turkey.
| | - Mehmet Emin Erdal
- Department of Medical Biology, Faculty of Medicine, Mersin University, 33343, Mersin, Turkey
- Unye State Hospital, Ordu, Turkey
| | - Senay Görücü Yılmaz
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Gaziantep University, Gaziantep, Turkey
- Unye State Hospital, Ordu, Turkey
| | - Cem Şengül
- Psychiatry Clinic, Denizli, Turkey
- Unye State Hospital, Ordu, Turkey
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Radhakrishna U, Vishweswaraiah S, Uppala LV, Szymanska M, Macknis J, Kumar S, Saleem-Rasheed F, Aydas B, Forray A, Muvvala SB, Mishra NK, Guda C, Carey DJ, Metpally RP, Crist RC, Berrettini WH, Bahado-Singh RO. Placental DNA methylation profiles in opioid-exposed pregnancies and associations with the neonatal opioid withdrawal syndrome. Genomics 2021; 113:1127-1135. [PMID: 33711455 DOI: 10.1016/j.ygeno.2021.03.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 12/29/2020] [Accepted: 03/02/2021] [Indexed: 12/11/2022]
Abstract
Opioid abuse during pregnancy can result in Neonatal Opioid Withdrawal Syndrome (NOWS). We investigated genome-wide methylation analyses of 96 placental tissue samples, including 32 prenatally opioid-exposed infants with NOWS who needed therapy (+Opioids/+NOWS), 32 prenatally opioid-exposed infants with NOWS who did not require treatment (+Opioids/-NOWS), and 32 prenatally unexposed controls (-Opioids/-NOWS, control). Statistics, bioinformatics, Artificial Intelligence (AI), including Deep Learning (DL), and Ingenuity Pathway Analyses (IPA) were performed. We identified 17 dysregulated pathways thought to be important in the pathophysiology of NOWS and reported accurate AI prediction of NOWS diagnoses. The DL had an AUC (95% CI) =0.98 (0.95-1.0) with a sensitivity and specificity of 100% for distinguishing NOWS from the +Opioids/-NOWS group and AUCs (95% CI) =1.00 (1.0-1.0) with a sensitivity and specificity of 100% for distinguishing NOWS versus control and + Opioids/-NOWS group versus controls. This study provides strong evidence of methylation dysregulation of placental tissue in NOWS development.
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Affiliation(s)
- Uppala Radhakrishna
- Department of Obstetrics and Gynecology, Oakland University William Beaumont School of Medicine, Royal Oak, MI, USA.
| | - Sangeetha Vishweswaraiah
- Department of Obstetrics and Gynecology, Oakland University William Beaumont School of Medicine, Royal Oak, MI, USA
| | - Lavanya V Uppala
- College of Information Science & Technology, University of Nebraska at Omaha, Peter Kiewit Institute, Omaha, NE, USA
| | - Marta Szymanska
- Department of Obstetrics and Gynecology, Oakland University William Beaumont School of Medicine, Royal Oak, MI, USA
| | | | - Sandeep Kumar
- Department of Pathology, Beaumont Health System, Royal Oak, MI, USA
| | - Fozia Saleem-Rasheed
- Department of Newborn Medicine, Oakland University William Beaumont School of Medicine, Royal Oak, MI, USA
| | - Buket Aydas
- Department of Healthcare Analytics, Meridian Health Plans, Detroit, MI, USA
| | - Ariadna Forray
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | | | - Nitish K Mishra
- Department of Genetics, Cell Biology & Anatomy College of Medicine, University of Nebraska Medical Center Omaha, NE, USA
| | - Chittibabu Guda
- Department of Genetics, Cell Biology & Anatomy College of Medicine, University of Nebraska Medical Center Omaha, NE, USA
| | - David J Carey
- Department of Molecular and Functional Genomics, Geisinger, Danville, PA, USA
| | - Raghu P Metpally
- Department of Molecular and Functional Genomics, Geisinger, Danville, PA, USA
| | - Richard C Crist
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Wade H Berrettini
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Geisinger Clinic, Danville, PA, USA
| | - Ray O Bahado-Singh
- Department of Obstetrics and Gynecology, Oakland University William Beaumont School of Medicine, Royal Oak, MI, USA
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Ledonne A, Mercuri NB. Insights on the Functional Interaction between Group 1 Metabotropic Glutamate Receptors (mGluRI) and ErbB Receptors. Int J Mol Sci 2020; 21:ijms21217913. [PMID: 33114459 PMCID: PMC7662933 DOI: 10.3390/ijms21217913] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 10/23/2020] [Accepted: 10/23/2020] [Indexed: 11/16/2022] Open
Abstract
It is well-appreciated that phosphorylation is an essential post-translational mechanism of regulation for several proteins, including group 1 metabotropic glutamate receptors (mGluRI), mGluR1, and mGluR5 subtypes. While contributions of various serine/threonine protein kinases on mGluRI modulation have been recognized, the functional role of tyrosine kinases (TKs) is less acknowledged. Here, while describing current evidence supporting that mGluRI are targets of TKs, we mainly focus on the modulatory roles of the ErbB tyrosine kinases receptors—activated by the neurotrophic factors neuregulins (NRGs)—on mGluRI function. Available evidence suggests that mGluRI activity is tightly dependent on ErbB signaling, and that ErbB’s modulation profoundly influences mGluRI-dependent effects on neurotransmission, neuronal excitability, synaptic plasticity, and learning and memory processes.
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Affiliation(s)
- Ada Ledonne
- Department of Experimental Neuroscience, IRCCS Fondazione Santa Lucia, 00143 Rome, Italy
- Correspondence: ; Tel.: +39-06-50170-3160
| | - Nicola B. Mercuri
- Department of Experimental Neuroscience, IRCCS Fondazione Santa Lucia, 00143 Rome, Italy
- Department of Systems Medicine, Università di Roma “Tor Vergata”, 00133 Rome, Italy;
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Neuregulins 1, 2, and 3 Promote Early Neurite Outgrowth in ErbB4-Expressing Cortical GABAergic Interneurons. Mol Neurobiol 2020; 57:3568-3588. [PMID: 32542595 DOI: 10.1007/s12035-020-01966-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 05/29/2020] [Indexed: 12/27/2022]
Abstract
The neuregulins (Nrgs 1-4) are a family of signaling molecules that play diverse roles in the nervous system. Nrg1 has been implicated in the formation of synapses and in synaptic plasticity. Previous studies have shown Nrg1 can affect neurite outgrowth in several neuronal populations, while the role of Nrg2 and Nrg3 in this process has remained understudied. The Nrgs can bind and activate the ErbB4 receptor tyrosine kinase which is preferentially expressed in GABAergic interneurons in the rodent hippocampus and cerebral cortex. In the present study, we evaluated the effects of Nrgs 1, 2, and 3 on neurite outgrowth of dissociated rat cortical ErbB4-positive (+)/GABA+ interneurons in vitro. All three Nrgs were able to promote neurite outgrowth during the first 2 days in vitro, with increases detected for both the axon (116-120%) and other neurites (100-120%). Increases in the average number of primary and secondary neurites were also observed. Treatment with the Nrgs for an additional 3 days promoted an increase in axonal length (86-96%), with only minimal effects on the remaining neurites (8-13%). ErbB4 expression persisted throughout the dendritic arbor and cell soma at all stages examined, while its expression in the axon was transient and declined with cell maturation. ErbB4 overexpression in GABAergic neurons promoted neurite outgrowth, an effect that was potentiated by Nrg treatment. These results show that Nrgs 1, 2, and 3 are each capable of influencing dendritic and axonal growth at early developmental stages in GABAergic neurons grown in vitro.
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Ledonne A, Mercuri NB. On the Modulatory Roles of Neuregulins/ErbB Signaling on Synaptic Plasticity. Int J Mol Sci 2019; 21:ijms21010275. [PMID: 31906113 PMCID: PMC6981567 DOI: 10.3390/ijms21010275] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 12/27/2019] [Accepted: 12/29/2019] [Indexed: 12/14/2022] Open
Abstract
Neuregulins (NRGs) are a family of epidermal growth factor-related proteins, acting on tyrosine kinase receptors of the ErbB family. NRGs play an essential role in the development of the nervous system, since they orchestrate vital functions such as cell differentiation, axonal growth, myelination, and synapse formation. They are also crucially involved in the functioning of adult brain, by directly modulating neuronal excitability, neurotransmission, and synaptic plasticity. Here, we provide a review of the literature documenting the roles of NRGs/ErbB signaling in the modulation of synaptic plasticity, focusing on evidence reported in the hippocampus and midbrain dopamine (DA) nuclei. The emerging picture shows multifaceted roles of NRGs/ErbB receptors, which critically modulate different forms of synaptic plasticity (LTP, LTD, and depotentiation) affecting glutamatergic, GABAergic, and DAergic synapses, by various mechanisms. Further, we discuss the relevance of NRGs/ErbB-dependent synaptic plasticity in the control of brain processes, like learning and memory and the known involvement of NRGs/ErbB signaling in the modulation of synaptic plasticity in brain’s pathological conditions. Current evidence points to a central role of NRGs/ErbB receptors in controlling glutamatergic LTP/LTD and GABAergic LTD at hippocampal CA3–CA1 synapses, as well as glutamatergic LTD in midbrain DA neurons, thus supporting that NRGs/ErbB signaling is essential for proper brain functions, cognitive processes, and complex behaviors. This suggests that dysregulated NRGs/ErbB-dependent synaptic plasticity might contribute to mechanisms underlying different neurological and psychiatric disorders.
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Affiliation(s)
- Ada Ledonne
- Department of Experimental Neuroscience, Santa Lucia Foundation, Via del Fosso di Fiorano, no 64, 00143 Rome, Italy;
- Correspondence: ; Tel.: +3906-501703160; Fax: +3906-501703307
| | - Nicola B. Mercuri
- Department of Experimental Neuroscience, Santa Lucia Foundation, Via del Fosso di Fiorano, no 64, 00143 Rome, Italy;
- Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier no 1, 00133 Rome, Italy
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Gupta R, Qaiser B, He L, Hiekkalinna TS, Zheutlin AB, Therman S, Ollikainen M, Ripatti S, Perola M, Salomaa V, Milani L, Cannon TD, Madden PAF, Korhonen T, Kaprio J, Loukola A. Neuregulin signaling pathway in smoking behavior. Transl Psychiatry 2017; 7:e1212. [PMID: 28892072 PMCID: PMC5611747 DOI: 10.1038/tp.2017.183] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Revised: 06/26/2017] [Accepted: 07/06/2017] [Indexed: 12/23/2022] Open
Abstract
Understanding molecular processes that link comorbid traits such as addictions and mental disorders can provide novel therapeutic targets. Neuregulin signaling pathway (NSP) has previously been implicated in schizophrenia, a neurodevelopmental disorder with high comorbidity to smoking. Using a Finnish twin family sample, we have previously detected association between nicotine dependence and ERBB4 (a neuregulin receptor), and linkage for smoking initiation at the ERBB4 locus on 2q33. Further, Neuregulin3 has recently been shown to associate with nicotine withdrawal in a behavioral mouse model. In this study, we scrutinized association and linkage between 15 036 common, low frequency and rare genetic variants in 10 NSP genes and phenotypes encompassing smoking and alcohol use. Using the Finnish twin family sample (N=1998 from 740 families), we detected 66 variants (representing 23 LD blocks) significantly associated (false discovery rate P<0.05) with smoking initiation, nicotine dependence and nicotine withdrawal. We comprehensively annotated the associated variants using expression (eQTL) and methylation quantitative trait loci (meQTL) analyses in a Finnish population sample. Among the 66 variants, we identified 25 eQTLs (in NRG1 and ERBB4), 22 meQTLs (in NRG3, ERBB4 and PSENEN), a missense variant in NRG1 (rs113317778) and a splicing disruption variant in ERBB4 (rs13385826). Majority of the QTLs in blood were replicated in silico using publicly available databases, with additional QTLs observed in brain. In conclusion, our results support the involvement of NSP in smoking behavior but not in alcohol use and abuse, and disclose functional potential for 56 of the 66 associated single-nucleotide polymorphism.
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Affiliation(s)
- R Gupta
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - B Qaiser
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - L He
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
| | - T S Hiekkalinna
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - A B Zheutlin
- Department of Psychology, Yale University, New Haven, CT, USA
| | - S Therman
- National Institute for Health and Welfare, Helsinki, Finland
| | - M Ollikainen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - S Ripatti
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - M Perola
- National Institute for Health and Welfare, Helsinki, Finland
| | - V Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - L Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - T D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
| | - P A F Madden
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - T Korhonen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - J Kaprio
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - A Loukola
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
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Paterson C, Wang Y, Hyde TM, Weinberger DR, Kleinman JE, Law AJ. Temporal, Diagnostic, and Tissue-Specific Regulation of NRG3 Isoform Expression in Human Brain Development and Affective Disorders. Am J Psychiatry 2017; 174:256-265. [PMID: 27771971 PMCID: PMC5892449 DOI: 10.1176/appi.ajp.2016.16060721] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Genes implicated in schizophrenia are enriched in networks differentially regulated during human CNS development. Neuregulin 3 (NRG3), a brain-enriched neurotrophin, undergoes alternative splicing and is implicated in several neurological disorders with developmental origins. Isoform-specific increases in NRG3 are observed in schizophrenia and associated with rs10748842, a NRG3 risk polymorphism, suggesting NRG3 transcriptional dysregulation as a molecular mechanism of risk. The authors quantitatively mapped the temporal trajectories of NRG3 isoforms (classes I-IV) in the neocortex throughout the human lifespan, examined whether tissue-specific regulation of NRG3 occurs in humans, and determined if abnormalities in NRG3 transcriptomics occur in mood disorders and are genetically determined. METHOD NRG3 isoform classes I-IV were quantified using quantitative real-time polymerase chain reaction in human postmortem dorsolateral prefrontal cortex from 286 nonpsychiatric control individuals, from gestational week 14 to 85 years old, and individuals diagnosed with either bipolar disorder (N=34) or major depressive disorder (N=69). Tissue-specific mapping was investigated in several human tissues. rs10748842 was genotyped in individuals with mood disorders, and association with NRG3 isoform expression examined. RESULTS NRG3 classes displayed individually specific expression trajectories across human neocortical development and aging; classes I, II, and IV were significantly associated with developmental stage. NRG3 class I was increased in bipolar and major depressive disorder, consistent with observations in schizophrenia. NRG3 class II was increased in bipolar disorder, and class III was increased in major depression. The rs10748842 risk genotype predicted elevated class II and III expression, consistent with previous reports in the brain, with tissue-specific analyses suggesting that classes II and III are brain-specific isoforms of NRG3. CONCLUSIONS Mapping the temporal expression of genes during human brain development provides vital insight into gene function and identifies critical sensitive periods whereby genetic factors may influence risk for psychiatric disease. Here the authors provide comprehensive insight into the transcriptional landscape of the psychiatric risk gene, NRG3, in human neocortical development and expand on previous findings in schizophrenia to identify increased expression of developmentally and genetically regulated isoforms in the brain of patients with mood disorders. Principally, the finding that NRG3 classes II and III are brain-specific isoforms predicted by rs10748842 risk genotype and are increased in mood disorders further implicates a molecular mechanism of psychiatric risk at the NRG3 locus and identifies a potential developmental role for NRG3 in bipolar disorder and major depression. These observations encourage investigation of the neurobiology of NRG3 isoforms and highlight inhibition of NRG3 signaling as a potential target for psychiatric treatment development.
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Affiliation(s)
- Clare Paterson
- From the Department of Psychiatry and the Department of Cell and Developmental Biology, School of Medicine, University of Colorado, Aurora; the Lieber Institute for Brain Development, Johns Hopkins University, Baltimore; and the Department of Psychiatry and Behavioral Sciences, the Department of Neurology, the Department of Neuroscience, and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore
| | - Yanhong Wang
- From the Department of Psychiatry and the Department of Cell and Developmental Biology, School of Medicine, University of Colorado, Aurora; the Lieber Institute for Brain Development, Johns Hopkins University, Baltimore; and the Department of Psychiatry and Behavioral Sciences, the Department of Neurology, the Department of Neuroscience, and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore
| | - Thomas M. Hyde
- From the Department of Psychiatry and the Department of Cell and Developmental Biology, School of Medicine, University of Colorado, Aurora; the Lieber Institute for Brain Development, Johns Hopkins University, Baltimore; and the Department of Psychiatry and Behavioral Sciences, the Department of Neurology, the Department of Neuroscience, and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore
| | - Daniel R. Weinberger
- From the Department of Psychiatry and the Department of Cell and Developmental Biology, School of Medicine, University of Colorado, Aurora; the Lieber Institute for Brain Development, Johns Hopkins University, Baltimore; and the Department of Psychiatry and Behavioral Sciences, the Department of Neurology, the Department of Neuroscience, and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore
| | - Joel E. Kleinman
- From the Department of Psychiatry and the Department of Cell and Developmental Biology, School of Medicine, University of Colorado, Aurora; the Lieber Institute for Brain Development, Johns Hopkins University, Baltimore; and the Department of Psychiatry and Behavioral Sciences, the Department of Neurology, the Department of Neuroscience, and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore
| | - Amanda J. Law
- From the Department of Psychiatry and the Department of Cell and Developmental Biology, School of Medicine, University of Colorado, Aurora; the Lieber Institute for Brain Development, Johns Hopkins University, Baltimore; and the Department of Psychiatry and Behavioral Sciences, the Department of Neurology, the Department of Neuroscience, and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore
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