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Tang Y, Tan Y, Palaniyappan L, Yao Y, Luo Q, Li Y. Epigenetic profile of the immune system associated with symptom severity and treatment response in schizophrenia. J Psychiatry Neurosci 2024; 49:E45-E58. [PMID: 38359932 PMCID: PMC10890792 DOI: 10.1503/jpn.230099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/19/2023] [Accepted: 09/25/2023] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND Environmental modification of genetic information (epigenetics) is often invoked to explain interindividual differences in the phenotype of schizophrenia. In clinical practice, such variability is most prominent in the symptom profile and the treatment response. Epigenetic regulation of immune function is of particular interest, given the therapeutic relevance of this mechanism in schizophrenia. METHODS We analyzed the DNA methylation data of immune-relevant genes in patients with schizophrenia whose disease duration was less than 3 years, with previous lifetime antipsychotic treatment of no more than 2 weeks total. RESULTS A total of 441 patients met the inclusion criteria. Core symptoms were consistently associated with 206 methylation positions, many of which had previously been implicated in inflammatory responses. Of these, 24 methylation positions were located either in regulatory regions or near the CpG islands of 20 genes, including the SRC gene, which is a key player in glutamatergic signalling. These symptom-associated immune genes were enriched in neuronal development functions, such as neuronal migration and glutamatergic synapse. Compared with using only clinical information (including scores on the Positive and Negative Syndrome Scale), integrating methylation data into the model significantly improved the predictive ability (as indicated by area under the curve) for response to 8 weeks of antipsychotic treatment. LIMITATIONS We focused on a small number of methylation probes (immune-centred search) and lacked nutritional data and direct brain-based measures. CONCLUSION Epigenetic modifications of the immune system are associated with symptom severity at onset and subsequent treatment response in schizophrenia.
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Affiliation(s)
- Yuanhao Tang
- From the National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science and School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China (Tang, Yao); the Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China (Tan, Li); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Palaniyappan); Robarts Research Institute and Department of Medical Biophysics, Western University, London, Ont. (Palaniyappan); the Lawson Health Research Institute, London, Ont. (Palaniyappan); the MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Luo)
| | - Yunlong Tan
- From the National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science and School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China (Tang, Yao); the Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China (Tan, Li); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Palaniyappan); Robarts Research Institute and Department of Medical Biophysics, Western University, London, Ont. (Palaniyappan); the Lawson Health Research Institute, London, Ont. (Palaniyappan); the MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Luo)
| | - Lena Palaniyappan
- From the National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science and School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China (Tang, Yao); the Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China (Tan, Li); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Palaniyappan); Robarts Research Institute and Department of Medical Biophysics, Western University, London, Ont. (Palaniyappan); the Lawson Health Research Institute, London, Ont. (Palaniyappan); the MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Luo)
| | - Yin Yao
- From the National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science and School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China (Tang, Yao); the Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China (Tan, Li); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Palaniyappan); Robarts Research Institute and Department of Medical Biophysics, Western University, London, Ont. (Palaniyappan); the Lawson Health Research Institute, London, Ont. (Palaniyappan); the MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Luo)
| | - Qiang Luo
- From the National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science and School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China (Tang, Yao); the Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China (Tan, Li); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Palaniyappan); Robarts Research Institute and Department of Medical Biophysics, Western University, London, Ont. (Palaniyappan); the Lawson Health Research Institute, London, Ont. (Palaniyappan); the MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Luo)
| | - Yanli Li
- From the National Clinical Research Center for Aging and Medicine at Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science and School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China (Tang, Yao); the Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China (Tan, Li); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Palaniyappan); Robarts Research Institute and Department of Medical Biophysics, Western University, London, Ont. (Palaniyappan); the Lawson Health Research Institute, London, Ont. (Palaniyappan); the MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Luo)
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Pörschke M, Rodríguez-González I, Parfentev I, Urlaub H, Kehlenbach RH. Transportin 1 is a major nuclear import receptor of the nitric oxide synthase interacting protein. J Biol Chem 2023; 299:102932. [PMID: 36690276 PMCID: PMC9974451 DOI: 10.1016/j.jbc.2023.102932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 01/12/2023] [Accepted: 01/14/2023] [Indexed: 01/22/2023] Open
Abstract
The nitric oxide synthase interacting protein (NOSIP), an E3-ubiquitin ligase, is involved in various processes like neuronal development, craniofacial development, granulopoiesis, mitogenic signaling, apoptosis, and cell proliferation. The best-characterized function of NOSIP is the regulation of endothelial nitric oxide synthase activity by translocating the membrane-bound enzyme to the cytoskeleton, specifically in the G2 phase of the cell cycle. For this, NOSIP itself has to be translocated from its prominent localization, the nucleus, to the cytoplasm. Nuclear import of NOSIP was suggested to be mediated by the canonical transport receptors importin α/β. Recently, we found NOSIP in a proteomic screen as a potential importin 13 cargo. Here, we describe the nuclear shuttling characteristics of NOSIP in living cells and in vitro and show that it does not interact directly with importin α. Instead, it formed stable complexes with several importins (-β, -7, -β/7, -13, and transportin 1) and was also imported into the nucleus in digitonin-permeabilized cells by these factors. In living HeLa cells, transportin 1 seems to be the major nuclear import receptor for NOSIP. A detailed analysis of the NOSIP-transportin 1 interaction revealed a high affinity and an unusual binding mode, involving the N-terminal half of transportin 1. In contrast to nuclear import, nuclear export of NOSIP seems to occur mostly by passive diffusion. Thus, our results uncover additional layers in the larger process of endothelial nitric oxide synthase regulation.
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Affiliation(s)
- Marius Pörschke
- Department of Molecular Biology, Faculty of Medicine, GZMB, Georg-August-University Göttingen, Göttingen, Germany
| | - Inés Rodríguez-González
- Department of Molecular Biology, Faculty of Medicine, GZMB, Georg-August-University Göttingen, Göttingen, Germany
| | - Iwan Parfentev
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Henning Urlaub
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany,Bioanalytics Group, Institute of Clinical Chemistry, University Medical Center Göttingen, Göttingen, Germany
| | - Ralph H. Kehlenbach
- Department of Molecular Biology, Faculty of Medicine, GZMB, Georg-August-University Göttingen, Göttingen, Germany,For correspondence: Ralph H. Kehlenbach
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Caro JC, Holuka C, Menta G, Turner JD, Vögele C, D'Ambrosio C. Children's internalizing behavior development is heterogeneously associated with the pace of epigenetic aging. Biol Psychol 2023; 176:108463. [PMID: 36436681 DOI: 10.1016/j.biopsycho.2022.108463] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Internalizing behaviors are an indicator of children's psychological and emotional development, predicting future mental disorders. Recent studies have identified associations between DNA methylation (DNAm) and internalizing behaviors. This prospective study aimed at exploring the associations between pace of biological aging and the developmental trajectories of internalizing behaviors. METHODS Participants were children from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (N = 974). Measures of DNA methylation were collected at birth, age 7 and ages 15-17. The pace of aging was estimated using the DunedinPoAm algorithm (PoAm). Internalizing behaviors reported by caregivers between ages 4 and 16 using the Strengths and Difficulties Questionnaire. To explore heterogeneity in the association between PoAm and internalizing behaviors we use Poisson quantile regression in cross-section heterogeneity and longitudinal latent class analysis over the childhood and adolescence. RESULTS Internalizing behavior trajectories were identified: low-risk, childhood limited, late onset and early onset (persistent). Accelerated aging at birth was negatively associated with internalizing behaviors in early childhood but positively correlated during adolescence. Higher PoAm at birth increased chance of low-risk profile, while decreasing likelihood of childhood limited trajectory. PoAm at age 15 was negatively associated with childhood limited profile and positively linked to late onset trajectories. Associations were larger at higher values of internalizing symptoms. CONCLUSIONS The heterogeneity in the association between biological age acceleration and internalizing behaviors suggests a complex dynamic relationship, particularly in children with high or increased risk of adverse mental health outcomes.
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Affiliation(s)
- Juan Carlos Caro
- Department of Behavioral and Cognitive Sciences, University of Luxembourg, Luxembourg.
| | - Cyrielle Holuka
- Department of Infection and Immunity, Luxembourg Institute of Health, Luxembourg; Faculty of Sciences, University of Luxembourg, Luxembourg
| | - Giorgia Menta
- Luxembourg Institute of Socio-Economic Research (LISER), Luxembourg
| | - Jonathan D Turner
- Department of Infection and Immunity, Luxembourg Institute of Health, Luxembourg
| | - Claus Vögele
- Department of Behavioral and Cognitive Sciences, University of Luxembourg, Luxembourg
| | - Conchita D'Ambrosio
- Department of Behavioral and Cognitive Sciences, University of Luxembourg, Luxembourg
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Luo YS, Li W, Cai Y, Zhang J, Gui H, Zhang K, Cheng ZS. Genome-wide screening of sex-biased genetic variants potentially associated with COVID-19 hospitalization. Front Genet 2022; 13:1014191. [DOI: 10.3389/fgene.2022.1014191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 09/29/2022] [Indexed: 11/13/2022] Open
Abstract
Sex-biased difference in coronavirus disease 2019 (COVID-19) hospitalization has been observed as that male patients tend to be more likely to be hospitalized than female patients. However, due to the insufficient sample size and existed studies that more prioritized to sex-stratified COVID-19 genome-wide association study (GWAS), the searching for sex-biased genetic variants showing differential association signals between sexes with COVID-19 hospitalization was severely hindered. We hypothesized genetic variants would show potentially sex-biased genetic effects on COVID-19 hospitalization if they display significant differential association effect sizes between male and female COVID-19 patients. By integrating two COVID-19 GWASs, including hospitalized COVID-19 patients vs. general population separated into males (case = 1,917 and control = 221,174) and females (case = 1,343 and control = 262,886), we differentiated the association effect sizes of each common single nucleotide polymorphism (SNP) within the two GWASs. Twelve SNPs were suggested to show differential COVID-19 associations between sexes. Further investigation of genes (n = 58) close to these 12 SNPs resulted in the identification of 34 genes demonstrating sex-biased differential expression in at least one GTEx tissue. Finally, 5 SNPs are mapped to 8 genes, including rs1134004 (GADD45G), rs140657166 (TRIM29 and PVRL1), rs148143613 (KNDC1 and STK32C), rs2443615 (PGAP2 and TRIM21), and rs2924725 (CSMD1). The 8 genes display significantly differential gene expression in blood samples derived from COVID-19 patients compared to healthy controls. These genes are potential genetic factors contributing to sex differences in COVID-19 hospitalization and warranted for further functional studies.
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Li SC, Kuo HC, Huang LH, Chou WJ, Lee SY, Chan WC, Wang LJ. DNA Methylation in LIME1 and SPTBN2 Genes Is Associated with Attention Deficit in Children. Children (Basel) 2021; 8:92. [PMID: 33572947 DOI: 10.3390/children8020092] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/13/2021] [Accepted: 01/26/2021] [Indexed: 12/15/2022]
Abstract
DNA methylation levels are associated with neurodevelopment. Attention-deficit/hyperactivity disorder (ADHD), characterized by attention deficits, is a common neurodevelopmental disorder. We used methylation microarray and pyrosequencing to detect peripheral blood DNA methylation markers of ADHD. DNA methylation profiling data from the microarray assays identified potential differentially methylated CpG sites between 12 ADHD patients and 9 controls. Five candidate CpG sites (cg00446123, cg20513976, cg07922513, cg17096979, and cg02506324) in four genes (LIME1, KCNAB2, CAPN9, and SPTBN2) were further examined with pyrosequencing. The attention of patients were tested using the Conners’ Continuous Performance Test (CPT). In total, 126 ADHD patients with a mean age of 9.2 years (78.6% males) and 72 healthy control subjects with a mean age of 9.3 years (62.5% males) were recruited. When all participants were categorized by their CPT performance, the DNA methylation levels in LIME1 (cg00446123 and cg20513976) were found to be significantly higher and those in SPTBN2 (cg02506324) were significantly lower in children with worse CPT performance. Therefore, DNA methylation of two CpG sites in LIME1 and one CpG site in SPTBN2 is associated with attention deficits in children. DNA methylation biomarkers may assist in identifying attention deficits of children in clinical settings.
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Abstract
Psychiatric disorders are common, complex, and heritable conditions estimated to be the leading cause of disability worldwide. The last decade of research in genomics of psychiatry, performed by multinational, and multicenter collaborative efforts on hundreds of thousands of mental disorder cases and controls, provided invaluable insight into the genetic risk variants of these conditions. With increasing cohort sizes, more risk variants are predicted to be identified in the near future, but there appears to be a knowledge gap in understanding how these variants contribute to the pathophysiology of psychiatric disorders. Majority of the identified common risk single-nucleotide polymorphisms (SNPs) are non-coding but are enriched in regulatory regions of the genome. It is therefore of great interest to study the impact of identified psychiatric disorders' risk SNPs on DNA methylation, the best studied epigenetic modification, playing a pivotal role in the regulation of transcriptomic processes, brain development, and functioning. This work outlines the mechanisms through which risk SNPs can impact DNA methylation levels and provides a summary of current evidence on the role of DNA methylation in mediating the genetic risk of psychiatric disorders.
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Affiliation(s)
- Anna Starnawska
- Department of Biomedicine, Aarhus University, Aarhus, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Center for Genomics and Personalized Medicine (CGPM), Center for Integrative Sequencing, iSEQ, Aarhus, Denmark
| | - Ditte Demontis
- Department of Biomedicine, Aarhus University, Aarhus, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Center for Genomics and Personalized Medicine (CGPM), Center for Integrative Sequencing, iSEQ, Aarhus, Denmark
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Carmel M, Michaelovsky E, Weinberger R, Frisch A, Mekori-Domachevsky E, Gothelf D, Weizman A. Differential methylation of imprinting genes and MHC locus in 22q11.2 deletion syndrome-related schizophrenia spectrum disorders. World J Biol Psychiatry 2021; 22:46-57. [PMID: 32212948 DOI: 10.1080/15622975.2020.1747113] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
OBJECTIVES 22q11.2 deletion syndrome (DS) is the strongest known genetic risk for schizophrenia. Methylome screening was conducted to elucidate possible involvement of epigenetic alterations in the emergence of schizophrenia spectrum disorders (SZ-SD) in 22q11.2DS. METHODS Sixteen adult men with/without SZ-SD were recruited from a 22q11.2DS cohort and underwent genome-wide DNA methylation profile analysis. Differentially methylated probes (DMPs) and regions (DMRs) were analysed using the ChAMP software. RESULTS The DMPs (p-value <10-6) and DMRs (p-valueArea <0.01) were enriched in two gene sets, 'imprinting genes' and 'chr6p21', a region overlapping the MHC locus. Most of the identified imprinting genes are involved in neurodevelopment and located in clusters under imprinting control region (ICR) regulation, including PEG10, SGCE (7q21.3), GNAS, GNAS-AS1 (20q13.32) and SNHG14, SNURF-SNRPN, SNORD115 (15q11.2). The differentially methylated genes from the MHC locus included immune HLA-genes and non-immune genes, RNF39, PPP1R18 and NOTCH4, implicated in neurodevelopment and synaptic plasticity. The most significant DMR is located in MHC locus and covered the transcription regulator ZFP57 that is required for control and maintenance of gene imprinting at multiple ICRs. CONCLUSIONS The differential methylation in imprinting genes and in chr6p21-22 indicate the neurodevelopmental nature of 22q11.2DS-related SZ and the major role of MHC locus in the risk to develop SZ.
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Affiliation(s)
- Miri Carmel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Elena Michaelovsky
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Ronnie Weinberger
- The Behavioral Neurogenetics Center and Child Psychiatry Division, Sheba Medical Center, Ramat Gan, Israel
| | - Amos Frisch
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Ehud Mekori-Domachevsky
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,The Behavioral Neurogenetics Center and Child Psychiatry Division, Sheba Medical Center, Ramat Gan, Israel
| | - Doron Gothelf
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,The Behavioral Neurogenetics Center and Child Psychiatry Division, Sheba Medical Center, Ramat Gan, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Abraham Weizman
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.,Geha Mental Health Center, Petach Tikva, Israel
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Shanthikumar S, Neeland MR, Maksimovic J, Ranganathan SC, Saffery R. DNA methylation biomarkers of future health outcomes in children. Mol Cell Pediatr 2020; 7:7. [PMID: 32642955 PMCID: PMC7343681 DOI: 10.1186/s40348-020-00099-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 06/25/2020] [Indexed: 11/10/2022] Open
Abstract
Biomarkers which predict future health outcomes are key to the goals of precision health. Such biomarkers do not have to be involved in the causal pathway of a disease, and their performance is best assessed using statistical tests of clinical performance and evaluation of net health impact. DNA methylation is the most commonly studied epigenetic process and represents a potential biomarker of future health outcomes. We review 25 studies in non-oncological paediatric conditions where DNA methylation biomarkers of future health outcomes are assessed. Whilst a number of positive findings have been described, the body of evidence is severely limited by issues with outcome measures, tissue-specific samples, accounting for sample cell type heterogeneity, lack of appropriate statistical testing, small effect sizes, limited validation, and no assessment of net health impact. Future studies should concentrate on careful study design to overcome these issues, and integration of DNA methylation data with other 'omic', clinical, and environmental data to generate the most clinically useful biomarkers of paediatric disease.
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Affiliation(s)
- Shivanthan Shanthikumar
- Respiratory and Sleep Medicine, Royal Children's Hospital, Flemington Road, Parkville, Melbourne, Victoria, 3052, Australia. .,Respiratory Diseases, Murdoch Children's Research Institute, Melbourne, Australia. .,Department of Paediatrics, The University of Melbourne, Melbourne, Australia.
| | - Melanie R Neeland
- Department of Paediatrics, The University of Melbourne, Melbourne, Australia.,Epigenetics, Murdoch Children's Research Institute, Melbourne, Australia
| | - Jovana Maksimovic
- Respiratory Diseases, Murdoch Children's Research Institute, Melbourne, Australia.,Department of Paediatrics, The University of Melbourne, Melbourne, Australia.,Computational Biology, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Sarath C Ranganathan
- Respiratory and Sleep Medicine, Royal Children's Hospital, Flemington Road, Parkville, Melbourne, Victoria, 3052, Australia.,Respiratory Diseases, Murdoch Children's Research Institute, Melbourne, Australia.,Department of Paediatrics, The University of Melbourne, Melbourne, Australia
| | - Richard Saffery
- Department of Paediatrics, The University of Melbourne, Melbourne, Australia.,Epigenetics, Murdoch Children's Research Institute, Melbourne, Australia
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Favre E, Leleu A, Peyroux E, Baudouin JY, Franck N, Demily C. Exploratory case study of monozygotic twins with 22q11.2DS provides further clues to circumscribe neurocognitive markers of psychotic symptoms. Neuroimage Clin 2019; 24:101987. [PMID: 31446315 PMCID: PMC6713843 DOI: 10.1016/j.nicl.2019.101987] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 07/16/2019] [Accepted: 08/16/2019] [Indexed: 01/09/2023]
Abstract
Variation in facial emotion processing abilities may contribute to variability in penetrance for psychotic symptoms in 22q11.2DS. However, the precise nature of the social cognitive dysfunction (i.e., facial expression perception vs. emotion recognition), the potential additional roles of genetic and environmental variabilities, and consequently the possibility of using this neurocognitive marker in clinical monitoring remain unclear. The present case study aimed at testing the hypothesis that when confounding factors are controlled, the presence of psychotic symptoms in 22q11.2DS is associated, at the individual level, with a neural marker of facial expression perception rather than explicit emotional face recognition. Two monozygotic twins with 22q11.2DS discordant for psychiatric manifestations performed (1) a classical facial emotion labelling task and (2) an implicit neural measurement of facial expression perception using a frequency-tagging approach in electroencephalography (EEG). Analysis of the periodic brain response elicited by a change of facial expression from neutrality indicated that the twin with psychotic symptoms did not detect emotion among neutral faces while the twin without the symptoms did. In contrast, both encountered difficulties labelling facial emotion. The results from this exploratory twin study support the idea that impaired facial expression perception rather than explicit recognition of the emotion expressed might be a neurocognitive endophenotype of psychotic symptoms that could be reliable at a clinical level. Although confirmatory studies should be required, it facilitates further discussion on the etiology of the clinical phenotype in 22q11.2DS.
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Affiliation(s)
- Emilie Favre
- GénoPsy, Centre de Référence Maladies Rares à Expression Psychiatrique, Centre Hospitalier Le Vinatier, 95 bd Pinel BP300.91, F-69 678 BRON Cedex, France; Equipe EDR-Psy, Institut de Sciences Cognitives Marc Jeannerod, CNRS-UMR5229 & Université Lyon 1 Claude Bernard, 67 bd Pinel, F-69 500 BRON, France.
| | - Arnaud Leleu
- Équipe Éthologie Développementale et Psychologie Cognitive, Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, UMR 6265 CNRS, UMR 1324 INRA, Université Bourgogne Franche-Comté, 9 bd Jeanne d'Arc, F-21 000 Dijon, France.
| | - Elodie Peyroux
- GénoPsy, Centre de Référence Maladies Rares à Expression Psychiatrique, Centre Hospitalier Le Vinatier, 95 bd Pinel BP300.91, F-69 678 BRON Cedex, France; Equipe EDR-Psy, Institut de Sciences Cognitives Marc Jeannerod, CNRS-UMR5229 & Université Lyon 1 Claude Bernard, 67 bd Pinel, F-69 500 BRON, France; Centre ressource pour la réhabilitation psychosociale et la remédiation cognitive, Centre Hospitalier Le Vinatier, 5 rue Jean Sarrazin, F-69 008 Lyon, France.
| | - Jean-Yves Baudouin
- Équipe Éthologie Développementale et Psychologie Cognitive, Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, UMR 6265 CNRS, UMR 1324 INRA, Université Bourgogne Franche-Comté, 9 bd Jeanne d'Arc, F-21 000 Dijon, France; Laboratoire Développement, Individu, Processus, Handicap, Education (DIPHE), Departement Psychologie du Développement, de l'Education et des Vulnérabilités (PsyDEV), Institut de psychologie, Université Lumière Lyon 2, 5 av Pierre Mendès-France, F-69676 Bron, France.
| | - Nicolas Franck
- Equipe EDR-Psy, Institut de Sciences Cognitives Marc Jeannerod, CNRS-UMR5229 & Université Lyon 1 Claude Bernard, 67 bd Pinel, F-69 500 BRON, France; Centre ressource pour la réhabilitation psychosociale et la remédiation cognitive, Centre Hospitalier Le Vinatier, 5 rue Jean Sarrazin, F-69 008 Lyon, France.
| | - Caroline Demily
- GénoPsy, Centre de Référence Maladies Rares à Expression Psychiatrique, Centre Hospitalier Le Vinatier, 95 bd Pinel BP300.91, F-69 678 BRON Cedex, France; Equipe EDR-Psy, Institut de Sciences Cognitives Marc Jeannerod, CNRS-UMR5229 & Université Lyon 1 Claude Bernard, 67 bd Pinel, F-69 500 BRON, France.
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Cobben JM, Krzyzewska IM, Venema A, Mul AN, Polstra A, Postma AV, Smigiel R, Pesz K, Niklinski J, Chomczyk MA, Henneman P, Mannens MMAM. DNA methylation abundantly associates with fetal alcohol spectrum disorder and its subphenotypes. Epigenomics 2019; 11:767-785. [DOI: 10.2217/epi-2018-0221] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Aim: Fetal alcohol spectrum disorder (FASD) involves prenatal growth delay, impaired facial and CNS development and causes severe clinical, social-economic burdens. Here, we aim to detect DNA-methylation aberrations associated with FASD and potential FASD diagnostic and prognostic biomarkers. Patients & methods: The FASD diagnosis was established according to golden-standard protocols in a discovery and independent replication cohort. Genome-wide differential methylation association and replication analyses were performed. Results: We identified several loci that were robustly associated with FASD or one of its sub phenotypes. Our findings were evaluated using previously reported genome-wide surveys. Conclusion: We have detected robust FASD associated differentially methylated positions and differentially methylated regions for FASD in general and for FASD subphenotypes, in other words on growth delay, impaired facial and CNS development.
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Affiliation(s)
- Jan Maarten Cobben
- Department of Pediatrics, Amsterdam University Medical Centers, Location AMC, Emma Children's Hospital, Amsterdam, The Netherlands
| | - Izabela M Krzyzewska
- Department of Clinical Genetics, Genome Diagnostics Laboratory, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - Andrea Venema
- Department of Clinical Genetics, Genome Diagnostics Laboratory, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - Adri N Mul
- Department of Clinical Genetics, Genome Diagnostics Laboratory, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - Abeltje Polstra
- Department of Clinical Genetics, Genome Diagnostics Laboratory, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - Alex V Postma
- Department of Clinical Genetics, Genome Diagnostics Laboratory, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
- Department of Anatomy, Embryology & Physiology, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - Robert Smigiel
- Department of Pediatrics & Rare Disorders, Medical University of Wroclaw, Poland
| | - Karolina Pesz
- Department of Genetics, Medical University of Wroclaw, Poland
| | - Jacek Niklinski
- Department of Molecular Biology, Medical University of Bialystok, Poland
| | - Monika A Chomczyk
- Department of Molecular Biology, Medical University of Bialystok, Poland
| | - Peter Henneman
- Department of Anatomy, Embryology & Physiology, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - Marcel MAM Mannens
- Department of Anatomy, Embryology & Physiology, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
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11
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Gusev FE, Reshetov DA, Mitchell AC, Andreeva TV, Dincer A, Grigorenko AP, Fedonin G, Halene T, Aliseychik M, Goltsov AY, Solovyev V, Brizgalov L, Filippova E, Weng Z, Akbarian S, Rogaev EI. Epigenetic-genetic chromatin footprinting identifies novel and subject-specific genes active in prefrontal cortex neurons. FASEB J 2019; 33:8161-8173. [PMID: 30970224 DOI: 10.1096/fj.201802646r] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Human prefrontal cortex (PFC) is associated with broad individual variabilities in functions linked to personality, social behaviors, and cognitive functions. The phenotype variabilities associated with brain functions can be caused by genetic or epigenetic factors. The interactions between these factors in human subjects is, as of yet, poorly understood. The heterogeneity of cerebral tissue, consisting of neuronal and nonneuronal cells, complicates the comparative analysis of gene activities in brain specimens. To approach the underlying neurogenomic determinants, we performed a deep analysis of open chromatin-associated histone methylation in PFC neurons sorted from multiple human individuals in conjunction with whole-genome and transcriptome sequencing. Integrative analyses produced novel unannotated neuronal genes and revealed individual-specific chromatin "blueprints" of neurons that, in part, relate to genetic background. Surprisingly, we observed gender-dependent epigenetic signals, implying that gender may contribute to the chromatin variabilities in neurons. Finally, we found epigenetic, allele-specific activation of the testis-specific gene nucleoporin 210 like (NUP210L) in brain in some individuals, which we link to a genetic variant occurring in <3% of the human population. Recently, the NUP210L locus has been associated with intelligence and mathematics ability. Our findings highlight the significance of epigenetic-genetic footprinting for exploring neurologic function in a subject-specific manner.-Gusev, F. E., Reshetov, D. A., Mitchell, A. C., Andreeva, T. V., Dincer, A., Grigorenko, A. P., Fedonin, G., Halene, T., Aliseychik, M., Goltsov, A. Y., Solovyev, V., Brizgalov, L., Filippova, E., Weng, Z., Akbarian, S., Rogaev, E. I. Epigenetic-genetic chromatin footprinting identifies novel and subject-specific genes active in prefrontal cortex neurons.
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Affiliation(s)
- Fedor E Gusev
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts, USA.,Department of Human Genetics and Genomics, Laboratory of Evolutionary Genomics, Vavilov Institute of General Genetics of Russian Academy of Science, Moscow, Russia.,Center of Brain Neurobiology and Neurogenetics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Denis A Reshetov
- Department of Human Genetics and Genomics, Laboratory of Evolutionary Genomics, Vavilov Institute of General Genetics of Russian Academy of Science, Moscow, Russia.,Center of Brain Neurobiology and Neurogenetics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Amanda C Mitchell
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Tatiana V Andreeva
- Department of Human Genetics and Genomics, Laboratory of Evolutionary Genomics, Vavilov Institute of General Genetics of Russian Academy of Science, Moscow, Russia.,Center of Brain Neurobiology and Neurogenetics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Aslihan Dincer
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Anastasia P Grigorenko
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts, USA.,Department of Human Genetics and Genomics, Laboratory of Evolutionary Genomics, Vavilov Institute of General Genetics of Russian Academy of Science, Moscow, Russia.,Center of Brain Neurobiology and Neurogenetics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Gennady Fedonin
- Department of Human Genetics and Genomics, Laboratory of Evolutionary Genomics, Vavilov Institute of General Genetics of Russian Academy of Science, Moscow, Russia
| | - Tobias Halene
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Maria Aliseychik
- Department of Human Genetics and Genomics, Laboratory of Evolutionary Genomics, Vavilov Institute of General Genetics of Russian Academy of Science, Moscow, Russia.,Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Andrey Y Goltsov
- Department of Human Genetics and Genomics, Laboratory of Evolutionary Genomics, Vavilov Institute of General Genetics of Russian Academy of Science, Moscow, Russia
| | - Victor Solovyev
- Department of Cell Biology, Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences (SB RAS), Novosibirsk, Russia
| | - Leonid Brizgalov
- Center of Brain Neurobiology and Neurogenetics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Elena Filippova
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Zhiping Weng
- Department of Cell Biology, Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences (SB RAS), Novosibirsk, Russia
| | - Schahram Akbarian
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Evgeny I Rogaev
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts, USA.,Department of Human Genetics and Genomics, Laboratory of Evolutionary Genomics, Vavilov Institute of General Genetics of Russian Academy of Science, Moscow, Russia.,Center for Genetics and Genetic Technologies, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.,Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia
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12
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Breen MS, Wingo AP, Koen N, Donald KA, Nicol M, Zar HJ, Ressler KJ, Buxbaum JD, Stein DJ. Gene expression in cord blood links genetic risk for neurodevelopmental disorders with maternal psychological distress and adverse childhood outcomes. Brain Behav Immun 2018; 73:320-330. [PMID: 29791872 PMCID: PMC6191930 DOI: 10.1016/j.bbi.2018.05.016] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 02/11/2018] [Accepted: 05/18/2018] [Indexed: 11/29/2022] Open
Abstract
Prenatal exposure to maternal stress and depression has been identified as a risk factor for adverse behavioral and neurodevelopmental outcomes in early childhood. However, the molecular mechanisms through which maternal psychopathology shapes offspring development remain poorly understood. We applied transcriptome-wide screens to 149 umbilical cord blood samples from neonates born to mothers with posttraumatic stress disorder (PTSD; n = 20), depression (n = 31) and PTSD with comorbid depression (n = 13), compared to carefully matched trauma exposed controls (n = 23) and healthy mothers (n = 62). Analyses by maternal diagnoses revealed a clear pattern of gene expression signatures distinguishing neonates born to mothers with a history of psychopathology from those without. Co-expression network analysis identified distinct gene expression perturbations across maternal diagnoses, including two depression-related modules implicated in axon-guidance and mRNA stability, as well as two PTSD-related modules implicated in TNF signaling and cellular response to stress. Notably, these disease-related modules were enriched with brain-expressed genes and genetic risk loci for autism spectrum disorder and schizophrenia, which may imply a causal role for impaired developmental outcomes. These molecular alterations preceded changes in clinical measures at twenty-four months, including reductions in cognitive and socio-emotional outcomes in affected infants. Collectively, these findings indicate that prenatal exposure to maternal psychological distress induces neuronal, immunological and behavioral abnormalities in affected offspring and support the search for early biomarkers of exposures to adverse in utero environments and the classification of children at risk for impaired development.
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Affiliation(s)
- Michael S Breen
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Aliza P Wingo
- Atlanta Veterans Affairs Medical Center, Atlanta, GA, USA; Department of Psychiatry, School of Medicine, Emory University, Atlanta, GA, USA
| | - Nastassja Koen
- Department of Psychiatry and Mental Health, University of Cape Town, South Africa; South African Medical Research Council (SAMRC) Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Kirsten A Donald
- Department of Psychiatry and Mental Health, University of Cape Town, South Africa; South African Medical Research Council (SAMRC) Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa; Department of Paediatrics and Child Health and MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Mark Nicol
- Division of Medical Microbiology, Department of Pathology, University of Cape Town and National Health Laboratory Service, South Africa
| | - Heather J Zar
- Department of Paediatrics and Child Health and MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Kerry J Ressler
- Department of Psychiatry, School of Medicine, Emory University, Atlanta, GA, USA; McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Joseph D Buxbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, South Africa; South African Medical Research Council (SAMRC) Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa.
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13
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Story Jovanova O, Nedeljkovic I, Spieler D, Walker RM, Liu C, Luciano M, Bressler J, Brody J, Drake AJ, Evans KL, Gondalia R, Kunze S, Kuhnel B, Lahti J, Lemaitre RN, Marioni RE, Swenson B, Himali JJ, Wu H, Li Y, McRae AF, Russ TC, Stewart J, Wang Z, Zhang G, Ladwig KH, Uitterlinden AG, Guo X, Peters A, Räikkönen K, Starr JM, Waldenberger M, Wray NR, Whitsel EA, Sotoodehnia N, Seshadri S, Porteous DJ, van Meurs J, Mosley TH, McIntosh AM, Mendelson MM, Levy D, Hou L, Eriksson JG, Fornage M, Deary IJ, Baccarelli A, Tiemeier H, Amin N. DNA Methylation Signatures of Depressive Symptoms in Middle-aged and Elderly Persons: Meta-analysis of Multiethnic Epigenome-wide Studies. JAMA Psychiatry 2018; 75:949-959. [PMID: 29998287 PMCID: PMC6142917 DOI: 10.1001/jamapsychiatry.2018.1725] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
IMPORTANCE Depressive disorders arise from a combination of genetic and environmental risk factors. Epigenetic disruption provides a plausible mechanism through which gene-environment interactions lead to depression. Large-scale, epigenome-wide studies on depression are missing, hampering the identification of potentially modifiable biomarkers. OBJECTIVE To identify epigenetic mechanisms underlying depression in middle-aged and elderly persons, using DNA methylation in blood. DESIGN, SETTING, AND PARTICIPANTS To date, the first cross-ethnic meta-analysis of epigenome-wide association studies (EWAS) within the framework of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium was conducted. The discovery EWAS included 7948 individuals of European origin from 9 population-based cohorts. Participants who were assessed for both depressive symptoms and whole-blood DNA methylation were included in the study. Results of EWAS were pooled using sample-size weighted meta-analysis. Replication of the top epigenetic sites was performed in 3308 individuals of African American and European origin from 2 population-based cohorts. MAIN OUTCOMES AND MEASURES Whole-blood DNA methylation levels were assayed with Illumina-Infinium Human Methylation 450K BeadChip and depressive symptoms were assessed by questionnaire. RESULTS The discovery cohorts consisted of 7948 individuals (4104 [51.6%] women) with a mean (SD) age of 65.4 (5.8) years. The replication cohort consisted of 3308 individuals (2456 [74.2%] women) with a mean (SD) age of 60.3 (6.4) years. The EWAS identified methylation of 3 CpG sites to be significantly associated with increased depressive symptoms: cg04987734 (P = 1.57 × 10-08; n = 11 256; CDC42BPB gene), cg12325605 (P = 5.24 × 10-09; n = 11 256; ARHGEF3 gene), and an intergenic CpG site cg14023999 (P = 5.99 × 10-08; n = 11 256; chromosome = 15q26.1). The predicted expression of the CDC42BPB gene in the brain (basal ganglia) (effect, 0.14; P = 2.7 × 10-03) and of ARHGEF3 in fibroblasts (effect, -0.48; P = 9.8 × 10-04) was associated with major depression. CONCLUSIONS AND RELEVANCE This study identifies 3 methylated sites associated with depressive symptoms. All 3 findings point toward axon guidance as the common disrupted pathway in depression. The findings provide new insights into the molecular mechanisms underlying the complex pathophysiology of depression. Further research is warranted to determine the utility of these findings as biomarkers of depression and evaluate any potential role in the pathophysiology of depression and their downstream clinical effects.
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Affiliation(s)
- Olivera Story Jovanova
- Department of Epidemiology, Erasmus MC-University
Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Ivana Nedeljkovic
- Department of Epidemiology, Erasmus MC-University
Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Derek Spieler
- Institute of Epidemiology II, Helmholtz Zentrum
München, Neuherberg, Germany,Klinik und Poliklinik für Psychosomatische
Medizin und Psychotherapie des Klinikums Rechts der Isar der Technischen Universität
München, Munich, Germany
| | - Rosie M. Walker
- Centre for Cognitive Ageing and Cognitive
Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom,Centre for Genomic and Experimental Medicine, MRC
Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General
Hospital, Edinburgh, United Kingdom
| | - Chunyu Liu
- The Framingham Heart Study, Framingham,
Massachusetts,The Population Sciences Branch, Division of Intramural
Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland,Boston University School of Public Health, Boston,
Massachusetts
| | - Michelle Luciano
- Centre for Cognitive Ageing and Cognitive
Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom,Department of Psychology, University of Edinburgh,
Edinburgh, United Kingdom
| | - Jan Bressler
- Human Genetics Center, University of Texas Health
Science Center at Houston
| | - Jennifer Brody
- Cardiovascular Health Research Unit, Department of
Medicine, University of Washington, Seattle
| | - Amanda J. Drake
- University/British Heart Foundation Centre for
Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh,
Edinburgh, United Kingdom
| | - Kathryn L. Evans
- Centre for Cognitive Ageing and Cognitive
Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom,Centre for Genomic and Experimental Medicine, MRC
Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General
Hospital, Edinburgh, United Kingdom
| | - Rahul Gondalia
- Department of Epidemiology, University of North
Carolina at Chapel Hill
| | - Sonja Kunze
- Institute of Epidemiology II, Helmholtz Zentrum
München, Neuherberg, Germany,Research Unit of Molecular Epidemiology, Helmholtz
Zentrum München, Neuherberg, Germany
| | - Brigitte Kuhnel
- Institute of Epidemiology II, Helmholtz Zentrum
München, Neuherberg, Germany,Research Unit of Molecular Epidemiology, Helmholtz
Zentrum München, Neuherberg, Germany
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of
Medicine, University of Helsinki, Helsinki, Finland
| | - Rozenn N. Lemaitre
- Cardiovascular Health Research Unit, Department of
Medicine, University of Washington, Seattle
| | - Riccardo E. Marioni
- Centre for Cognitive Ageing and Cognitive
Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom,Department of Psychology, University of Edinburgh,
Edinburgh, United Kingdom
| | - Brenton Swenson
- Cardiovascular Health Research Unit, Department of
Medicine, University of Washington, Seattle,Institute for Public Health Genetics, School of
Public Health, University of Washington, Seattle
| | - Jayandra Jung Himali
- The Framingham Heart Study, Framingham,
Massachusetts,Boston University School of Public Health, Boston,
Massachusetts,Boston University School of Medicine, Boston,
Massachusetts
| | - Hongsheng Wu
- Computer Science and Networking, Wentworth Institute
of Technology, Boston, Massachusetts
| | - Yun Li
- Department of Genetics, University of North Carolina
at Chapel Hill,Department of Biostatistics, University of North
Carolina at Chapel Hill,Department of Computer Science, University of North
Carolina at Chapel Hill
| | - Allan F. McRae
- Institute for Molecular Bioscience, The University
of Queensland, Brisbane, Australia,Queensland Brain Institute, The University of
Queensland, Brisbane, Australia
| | - Tom C. Russ
- Centre for Cognitive Ageing and Cognitive
Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom,Alzheimer Scotland Dementia Research Centre,
Edinburgh, United Kingdom,Centre for Dementia Prevention, University of
Edinburgh, Edinburgh, United Kingdom
| | - James Stewart
- Department of Epidemiology, University of North
Carolina at Chapel Hill,Carolina Population Center, University of North
Carolina at Chapel Hill
| | - Zhiying Wang
- Human Genetics Center, University of Texas Health
Science Center at Houston
| | - Guosheng Zhang
- Department of Genetics, University of North Carolina
at Chapel Hill,Department of Biostatistics, University of North
Carolina at Chapel Hill,Department of Computer Science, University of North
Carolina at Chapel Hill
| | - Karl-Heinz Ladwig
- Institute of Epidemiology II, Helmholtz Zentrum
München, Neuherberg, Germany,Klinik und Poliklinik für Psychosomatische
Medizin und Psychotherapie des Klinikums Rechts der Isar der Technischen Universität
München, Munich, Germany
| | - Andre G. Uitterlinden
- Department of Epidemiology, Erasmus MC-University
Medical Center Rotterdam, Rotterdam, the Netherlands,Department of Internal Medicine, Erasmus Medical
Center, Rotterdam, the Netherlands
| | - Xiuqing Guo
- The Institute for Translational Genomics and
Population Sciences, Department of Pediatrics, Harbor-University of California Los Angeles
(UCLA) Medical Center
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum
München, Neuherberg, Germany,Research Unit of Molecular Epidemiology, Helmholtz
Zentrum München, Neuherberg, Germany
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of
Medicine, University of Helsinki, Helsinki, Finland
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive
Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom,Alzheimer Scotland Dementia Research Centre,
Edinburgh, United Kingdom
| | - Melanie Waldenberger
- Institute of Epidemiology II, Helmholtz Zentrum
München, Neuherberg, Germany,Research Unit of Molecular Epidemiology, Helmholtz
Zentrum München, Neuherberg, Germany
| | - Naomi R. Wray
- Institute for Molecular Bioscience, The University
of Queensland, Brisbane, Australia,Queensland Brain Institute, The University of
Queensland, Brisbane, Australia
| | - Eric A. Whitsel
- Department of Epidemiology, University of North
Carolina at Chapel Hill,Department of Medicine, University of North Carolina
at Chapel Hill
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of
Medicine, University of Washington, Seattle
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham,
Massachusetts,Boston University School of Medicine, Boston,
Massachusetts
| | - David J. Porteous
- Centre for Cognitive Ageing and Cognitive
Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom,Centre for Genomic and Experimental Medicine, MRC
Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General
Hospital, Edinburgh, United Kingdom
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus Medical
Center, Rotterdam, the Netherlands
| | | | - Andrew M. McIntosh
- Centre for Cognitive Ageing and Cognitive
Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom,Division of Psychiatry, The University of Edinburgh,
Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael M. Mendelson
- The Framingham Heart Study, Framingham,
Massachusetts,The Population Sciences Branch, Division of Intramural
Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland,Department of Cardiology, Boston Children’s
Hospital, Harvard Medical School, Boston, Massachusetts
| | - Daniel Levy
- The Framingham Heart Study, Framingham,
Massachusetts,The Population Sciences Branch, Division of Intramural
Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Lifang Hou
- Feinberg School of Medicine, Northwestern
University, Chicago, Illinois
| | - Johan G. Eriksson
- Department of General Practice and Primary Health
Care, University of Helsinki, Helsinki, Finland
| | - Myriam Fornage
- Human Genetics Center, University of Texas Health
Science Center at Houston,Institute of Molecular Medicine, University of Texas
Health Science Center at Houston
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive
Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom,Department of Psychology, University of Edinburgh,
Edinburgh, United Kingdom
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Harvard
T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus MC-University
Medical Center Rotterdam, Rotterdam, the Netherlands,Department of Child and Adolescent Psychiatry,
Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands,Department of Social and Behavioral Science, Harvard
T. H. Chan School of Public Health, Boston, Massachusetts
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC-University
Medical Center Rotterdam, Rotterdam, the Netherlands
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14
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Coan M, Rampioni Vinciguerra GL, Cesaratto L, Gardenal E, Bianchet R, Dassi E, Vecchione A, Baldassarre G, Spizzo R, Nicoloso MS. Exploring the Role of Fallopian Ciliated Cells in the Pathogenesis of High-Grade Serous Ovarian Cancer. Int J Mol Sci 2018; 19:ijms19092512. [PMID: 30149579 PMCID: PMC6163198 DOI: 10.3390/ijms19092512] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 08/20/2018] [Accepted: 08/20/2018] [Indexed: 12/22/2022] Open
Abstract
High-grade serous epithelial ovarian cancer (HGSOC) is the fifth leading cause of cancer death in women and the first among gynecological malignancies. Despite an initial response to standard chemotherapy, most HGSOC patients relapse. To improve treatment options, we must continue investigating tumor biology. Tumor characteristics (e.g., risk factors and epidemiology) are valuable clues to accomplish this task. The two most frequent risk factors for HGSOC are the lifetime number of ovulations, which is associated with increased oxidative stress in the pelvic area caused by ovulation fluid, and a positive family history due to genetic factors. In the attempt to identify novel genetic factors (i.e., genes) associated with HGSOC, we observed that several genes in linkage with HGSOC are expressed in the ciliated cells of the fallopian tube. This finding made us hypothesize that ciliated cells, despite not being the cell of origin for HGSOC, may take part in HGSOC tumor initiation. Specifically, malfunction of the ciliary beat impairs the laminar fluid flow above the fallopian tube epithelia, thus likely reducing the clearance of oxidative stress caused by follicular fluid. Herein, we review the up-to-date findings dealing with HGSOC predisposition with the hypothesis that fallopian ciliated cells take part in HGSOC onset. Finally, we review the up-to-date literature concerning genes that are located in genomic loci associated with epithelial ovarian cancer (EOC) predisposition that are expressed by the fallopian ciliated cells.
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Affiliation(s)
- Michela Coan
- Division of Molecular Oncology, Department of Translational Research, IRCCS CRO Aviano-National Cancer Institute, Via Franco Gallini, 2 33081 Aviano PN, Italy.
| | - Gian Luca Rampioni Vinciguerra
- Division of Molecular Oncology, Department of Translational Research, IRCCS CRO Aviano-National Cancer Institute, Via Franco Gallini, 2 33081 Aviano PN, Italy.
| | - Laura Cesaratto
- Division of Molecular Oncology, Department of Translational Research, IRCCS CRO Aviano-National Cancer Institute, Via Franco Gallini, 2 33081 Aviano PN, Italy.
| | - Emanuela Gardenal
- Azienda Ospedaliera Universitaria Integrata, University of Verona, 37129 Verona, Italy.
| | - Riccardo Bianchet
- Scientific Direction, CRO Aviano Italy, Via Franco Gallini, 2 33081 Aviano, Italy.
| | - Erik Dassi
- Centre for Integrative Biology, University of Trento, 38122 Trento, Italy.
| | - Andrea Vecchione
- Department of clinical and molecular medicine, university of Rome "Sapienza", c/o sant andrea hospital, Via di Grottarossa 1035, 00189 Rome, Italy.
| | - Gustavo Baldassarre
- Division of Molecular Oncology, Department of Translational Research, IRCCS CRO Aviano-National Cancer Institute, Via Franco Gallini, 2 33081 Aviano PN, Italy.
| | - Riccardo Spizzo
- Division of Molecular Oncology, Department of Translational Research, IRCCS CRO Aviano-National Cancer Institute, Via Franco Gallini, 2 33081 Aviano PN, Italy.
| | - Milena Sabrina Nicoloso
- Division of Molecular Oncology, Department of Translational Research, IRCCS CRO Aviano-National Cancer Institute, Via Franco Gallini, 2 33081 Aviano PN, Italy.
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Flach H, Krieg J, Hoffmeister M, Dietmann P, Reusch A, Wischmann L, Kernl B, Riegger R, Oess S, Kühl SJ. Nosip functions during vertebrate eye and cranial cartilage development. Dev Dyn 2018; 247:1070-1082. [PMID: 30055071 DOI: 10.1002/dvdy.24659] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 07/01/2018] [Accepted: 07/13/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The nitric oxide synthase interacting protein (Nosip) has been associated with diverse human diseases including psychological disorders. In line, early neurogenesis of mouse and Xenopus is impaired upon Nosip deficiency. Nosip knockout mice show craniofacial defects and the down-regulation of Nosip in the mouse and Xenopus leads to microcephaly. Until now, the exact underlying molecular mechanisms of these malformations were still unknown. RESULTS Here, we show that nosip is expressed in the developing ocular system as well as the anterior neural crest cells of Xenopus laevis. Furthermore, Nosip inhibition causes severe defects in eye formation in the mouse and Xenopus. Retinal lamination as well as dorso-ventral patterning of the retina were affected in Nosip-depleted Xenopus embryos. Marker gene analysis using rax, pax6 and otx2 reveals an interference with the eye field induction and differentiation. A closer look on Nosip-deficient Xenopus embryos furthermore reveals disrupted cranial cartilage structures and an inhibition of anterior neural crest cell induction and migration shown by twist, snai2, and egr2. Moreover, foxc1 as downstream factor of retinoic acid signalling is affected upon Nosip deficiency. CONCLUSIONS Nosip is a crucial factor for the development of anterior neural tissue such the eyes and neural crest cells. Developmental Dynamics 247:1070-1082, 2018. © 2018 Wiley Periodicals, Inc.
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Affiliation(s)
- Hannah Flach
- Institute of Biochemistry and Molecular Biology, Ulm University, Ulm, Germany
| | - Julia Krieg
- Institute of Biochemistry and Molecular Biology, Ulm University, Ulm, Germany
| | - Meike Hoffmeister
- Institute of Biochemistry II, Goethe University, Frankfurt Medical School, Frankfurt/Main, Germany.,Institute of Biochemistry, Brandenburg Medical School (MHB) Theodor Fontane, Neuruppin, Germany
| | - Petra Dietmann
- Institute of Biochemistry and Molecular Biology, Ulm University, Ulm, Germany
| | - Adrian Reusch
- Institute of Biochemistry and Molecular Biology, Ulm University, Ulm, Germany
| | - Lisa Wischmann
- Institute of Biochemistry and Molecular Biology, Ulm University, Ulm, Germany
| | - Bianka Kernl
- Institute of Biochemistry and Molecular Biology, Ulm University, Ulm, Germany
| | - Ricarda Riegger
- Institute of Biochemistry and Molecular Biology, Ulm University, Ulm, Germany
| | - Stefanie Oess
- Institute of Biochemistry II, Goethe University, Frankfurt Medical School, Frankfurt/Main, Germany.,Institute of Biochemistry, Brandenburg Medical School (MHB) Theodor Fontane, Neuruppin, Germany
| | - Susanne J Kühl
- Institute of Biochemistry and Molecular Biology, Ulm University, Ulm, Germany
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Padula MC, Scariati E, Schaer M, Eliez S. A Mini Review on the Contribution of the Anterior Cingulate Cortex in the Risk of Psychosis in 22q11.2 Deletion Syndrome. Front Psychiatry 2018; 9:372. [PMID: 30174623 PMCID: PMC6107828 DOI: 10.3389/fpsyt.2018.00372] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 07/25/2018] [Indexed: 12/31/2022] Open
Abstract
22q11.2 deletion syndrome (22q11DS) is a neurogenetic disorder that causes a high risk of developing schizophrenia, thus representing a unique model for the investigation of biomarkers of psychosis. Cognitive and clinical risk factors have been identified as reliable predictors of schizophrenia in patients with 22q11DS and are currently used in the clinical practice. However, biomarkers based on neuroimaging are still lacking, mainly because of the analytic approaches adopted so far, which are almost uniquely based on the comparison of 22q11DS patients with healthy controls. Such comparisons do not take into account the heterogeneity within patients with 22q11DS, who indeed show various clinical manifestations. More recently, a number of studies compared measures of brain morphology and connectivity between patients with 22q11DS with different symptomatic profiles. The aim of this short review is to highlight the brain alterations found in patients with 22q11DS fulfilling ultra-high risk (UHR) criteria. Findings point to alterations in brain morphology and connectivity in frontal brain regions, and in particular in the anterior cingulate cortex, in patients with 22q11DS presenting UHR symptoms. These alterations may represent valuable biomarkers of psychosis in 22q11DS.
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Affiliation(s)
- Maria C Padula
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.,Developmental Imaging and Psychopathology Laboratory, Office Médico-Pédagogique, Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Elisa Scariati
- Developmental Imaging and Psychopathology Laboratory, Office Médico-Pédagogique, Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Marie Schaer
- Developmental Imaging and Psychopathology Laboratory, Office Médico-Pédagogique, Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Stephan Eliez
- Developmental Imaging and Psychopathology Laboratory, Office Médico-Pédagogique, Department of Psychiatry, University of Geneva, Geneva, Switzerland
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