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Chancel R, Lopez-Castroman J, Baca-Garcia E, Mateos Alvarez R, Courtet P, Conejero I. Biomarkers of Bipolar Disorder in Late Life: An Evidence-Based Systematic Review. Curr Psychiatry Rep 2024; 26:78-103. [PMID: 38470559 DOI: 10.1007/s11920-024-01483-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/09/2024] [Indexed: 03/14/2024]
Abstract
PURPOSE OF REVIEW Review the current evidence on biomarkers for bipolar disorder in the older adults. We conducted a systematic search of PubMed MEDLINE, PsycINFO, and Web of Science databases using the MeSH search terms "Biomarkers", "Bipolar Disorder", "Aged" and and "Aged, 80 and over". Studies were included if they met the following criteria: (1) the mean age of the study population was 50 years old or older, (2) the study included patients with bipolar disorder, and (3) the study examined one type of biomarkers or more including genetic, neuroimaging, and biochemical biomarkers. Reviews, case reports, studies not in English and studies for which no full text was available were excluded. A total of 26 papers were included in the final analysis. RECENT FINDINGS Genomic markers of bipolar disorder in older adults highlighted the implication of serotonin metabolism, while the expression of genes involved in angiogenesis was dysregulated. Peripheral blood markers were mainly related with low grade inflammation, axonal damage, endothelial dysfunction, and the dysregulation of the HPA axis. Neuroanatomical markers reflected a dysfunction of the frontal cortex, a loss of neurones in the anterior cingulate cortex and a reduction of the hippocampal volume (in patients older than 50 years old). While not necessarily limited to older adults, some of them may be useful for differential diagnosis (neurofilaments), disease staging (homocysteine, BDNF) and the monitoring of treatment outcomes (matrix metalloproteinases). Our review provides a comprehensive overview of the current evidence on biomarkers for bipolar disorder in the older adults. The identification of biomarkers may aid in the diagnosis, treatment selection, and monitoring of bipolar disorder in older adults, ultimately leading to improved outcomes for this population. Further research is needed to validate and further explore the potential clinical utility of biomarkers in this population.
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Affiliation(s)
- R Chancel
- PSNREC, Univ Montpellier, INSERM, CHU de Montpellier, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - J Lopez-Castroman
- Department of Psychiatry, Nimes University Hospital, Nimes, France
- Department of Signal Theory and Communications, Carlos III University, Madrid, Spain
- Institut de Génomique Fonctionnelle, University of Montpellier, CNRS-INSERM, Montpellier, France
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - E Baca-Garcia
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Rey Juan Carlos, Móstoles, Madrid, Spain
- Universidad Autónoma de Madrid, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Central de Villalba, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Infanta Elena, Valdemoro, Madrid, Spain
- Universidad Católica del Maude, Talca, Chile
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
| | - R Mateos Alvarez
- Department of Psychiatry, University of Santiago de Compostela, Santiago de Compostela, Spain
- Psychogeriatric Unit, CHUS University Hospital, Santiago de Compostela, Spain
| | - Ph Courtet
- PSNREC, Univ Montpellier, INSERM, CHU de Montpellier, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - I Conejero
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain.
- Universidad Autónoma de Madrid, Madrid, Spain.
- Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain.
- Department of Psychiatry, CHU Nîmes, PSNREC, INSERM, University of Montpellier, Nîmes, France.
- Pôle de psychiatrie, CHU Nîmes, Rue du Professeur Robert Debré, 30900, Nîmes, France.
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Mola-Ali-Nejad R, Fakharianzadeh S, Maloum Z, Taheri M, Shirvani-Farsani Z. A gene expression analysis of long non-coding RNAs NKILA and PACER as well as their target genes, NF-κB and cox-2 in bipolar disorder patients. NUCLEOSIDES, NUCLEOTIDES & NUCLEIC ACIDS 2023; 42:527-537. [PMID: 36628999 DOI: 10.1080/15257770.2023.2166063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Bipolar disorder (BD) is a severe condition characterized by periods of mania and depression. Despite advances in the neurobiology of bipolar disorder, the exact etiology of the disease remains unclear. There is evidence that Inflammation is associated with bipolar disorder. COX-2 and NF-κB are two critical mediators in the inflammatory pathways. Long non-coding RNAs (lncRNAs) are a new class of non-coding RNAs that play a wide range of roles, especially in developing and maintaining normal brain functions. Two lncRNAs called PACER and NKILA control the expression of COX-2 and NF-κB genes, respectively. In this study, Expression levels of PACER and NKILA lncRNAs, as well as, COX-2 and NF-κB genes were measured in fifty patients with bipolar disorder and 50 healthy individuals by real-time PCR. Expression levels of NKILA and COX2 were considerably reduced in BD patients compared with healthy controls. Such significant downregulation in the expression of NKILA and PACER was only observed in male patients with BD compared with male healthy subjects. Also, according to the results of the ROC curve, the area under curve values for NKILA and COX2 were 0.68 and 0.52 respectively. Consequently, the NKILA gene could be considered a biomarker. By examining the degree of pairwise correlation between genes, all genes had a significant positive correlation with each other. Taken together, these results revealed a function for NKILA and PACER lncRNAs in the pathogenesis of BD.
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Affiliation(s)
- Reza Mola-Ali-Nejad
- Department of Medical Genetics, School of Medicine, Jiroft University of Medical Sciences, Jiroft, Iran
| | - Saba Fakharianzadeh
- Department of Cell and Molecular Biology, Faculty of Life Sciences and Technology, Shahid Beheshti University, Tehran, Iran
| | - Zahra Maloum
- Department of Cell and Molecular Biology, Faculty of Life Sciences and Technology, Shahid Beheshti University, Tehran, Iran
| | - Mohammad Taheri
- Men's Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zeinab Shirvani-Farsani
- Department of Cell and Molecular Biology, Faculty of Life Sciences and Technology, Shahid Beheshti University, Tehran, Iran
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3
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Hu X, Yu C, Dong T, Yang Z, Fang Y, Jiang Z. Biomarkers and detection methods of bipolar disorder. Biosens Bioelectron 2022; 220:114842. [DOI: 10.1016/j.bios.2022.114842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 09/16/2022] [Accepted: 10/19/2022] [Indexed: 12/01/2022]
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4
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Sargazi S, Zahedi Abghari A, Mirinejad S, Heidari Nia M, Majidpour M, Danesh H, Saravani R, Sheervalilou R, Shakiba M, Zahedi Abghari F. Long noncoding RNA HOTAIR polymorphisms and susceptibility to bipolar disorder: a preliminary case-control study. NUCLEOSIDES, NUCLEOTIDES & NUCLEIC ACIDS 2022; 41:684-701. [PMID: 35469536 DOI: 10.1080/15257770.2022.2065017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Recent studies have shown that long noncoding RNAs contribute to the pathogenesis of bipolar disorder (BD). In this study, we genotyped four HOX Transcript Antisense Intergenic RNA (HOTAIR) gene polymorphisms to investigate if these variations could affect the risk of BD and its clinical subtypes. A total of 357 subjects, comprised of 194 BD patients and 163 age-matched healthy controls, were enrolled. Genotyping was carried out using PCR-RFLP and ARMS-PCR methods. We detected significant associations between the HOTAIR gene rs1899663 G/T, rs12826786 C/T, rs4759314 A/G, and rs920778 C/T polymorphism and the risk of BD under allelic, recessive, dominant, and codominant contrasted genetic models. The CT genotype of rs920778 C/T, GT genotype of rs1899663 G/T, and CT genotype of rs12826786 C/T polymorphisms enhanced the risk of BD type II (BDII). In contrast, the GG genotype of rs4759314 A/G polymorphism significantly diminished BDII risk by 83%. A positive association was noticed between CTTA and CTCG haplotypes of rs920778/rs1899663/rs12826786/rs4759314 and BD risk. Our findings reveal an interactive effect of HOTAIR polymorphisms on the development of BD and its subtypes. Further functional studies are needed to elucidate the role of these variations on HOTAIR expression and epigenetic status.
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Affiliation(s)
- Saman Sargazi
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Armin Zahedi Abghari
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran.,Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Shekoufeh Mirinejad
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Milad Heidari Nia
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Mahdi Majidpour
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran.,Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Hiva Danesh
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ramin Saravani
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran.,Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | | | - Mansoor Shakiba
- Department of Psychiatry, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Fateme Zahedi Abghari
- Department of Medical Genetics and Molecular Biology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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5
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Truong TTT, Bortolasci CC, Spolding B, Panizzutti B, Liu ZSJ, Kidnapillai S, Richardson M, Gray L, Smith CM, Dean OM, Kim JH, Berk M, Walder K. Co-Expression Networks Unveiled Long Non-Coding RNAs as Molecular Targets of Drugs Used to Treat Bipolar Disorder. Front Pharmacol 2022; 13:873271. [PMID: 35462908 PMCID: PMC9024411 DOI: 10.3389/fphar.2022.873271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/24/2022] [Indexed: 12/13/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) may play a role in psychiatric diseases including bipolar disorder (BD). We investigated mRNA-lncRNA co-expression patterns in neuronal-like cells treated with widely prescribed BD medications. The aim was to unveil insights into the complex mechanisms of BD medications and highlight potential targets for new drug development. Human neuronal-like (NT2-N) cells were treated with either lamotrigine, lithium, quetiapine, valproate or vehicle for 24 h. Genome-wide mRNA expression was quantified for weighted gene co-expression network analysis (WGCNA) to correlate the expression levels of mRNAs with lncRNAs. Functional enrichment analysis and hub lncRNA identification was conducted on key co-expressed modules associated with the drug response. We constructed lncRNA-mRNA co-expression networks and identified key modules underlying these treatments, as well as their enriched biological functions. Processes enriched in key modules included synaptic vesicle cycle, endoplasmic reticulum-related functions and neurodevelopment. Several lncRNAs such as GAS6-AS1 and MIR100HG were highlighted as driver genes of key modules. Our study demonstrates the key role of lncRNAs in the mechanism(s) of action of BD drugs. Several lncRNAs have been suggested as major regulators of medication effects and are worthy of further investigation as novel drug targets to treat BD.
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Affiliation(s)
- Trang TT. Truong
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
- *Correspondence: Trang TT. Truong,
| | - Chiara C. Bortolasci
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Briana Spolding
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Bruna Panizzutti
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Zoe SJ. Liu
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Srisaiyini Kidnapillai
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Mark Richardson
- Genomics Centre, School of Life and Environmental Sciences, Deakin University, Burwood, VIC, Australia
| | - Laura Gray
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Craig M. Smith
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Olivia M. Dean
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Jee Hyun Kim
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Michael Berk
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Ken Walder
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental health and Clinical Translation, Deakin University, Geelong, VIC, Australia
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6
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Abstract
Many patients under treatment for mood disorders, in particular patients with bipolar mood disorders, experience episodes of mood switching from one state to another. Various hypotheses have been proposed to explain the mechanism of mood switching, spontaneously or induced by drug treatment. Animal models have also been used to test the role of psychotropic drugs in the switching of mood states. We examine the possible relationship between the pharmacology of psychotropic drugs and their reported incidents of induced mood switching, with reference to the various hypotheses of mechanisms of mood switching.
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7
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Zandi PP, Jaffe AE, Goes FS, Burke EE, Collado-Torres L, Huuki-Myers L, Seyedian A, Lin Y, Seifuddin F, Pirooznia M, Ross CA, Kleinman JE, Weinberger DR, Hyde TM. Amygdala and anterior cingulate transcriptomes from individuals with bipolar disorder reveal downregulated neuroimmune and synaptic pathways. Nat Neurosci 2022; 25:381-389. [PMID: 35260864 PMCID: PMC8915427 DOI: 10.1038/s41593-022-01024-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 01/26/2022] [Indexed: 12/12/2022]
Abstract
Recent genetic studies have identified variants associated with bipolar disorder (BD), but it remains unclear how brain gene expression is altered in BD and how genetic risk for BD may contribute to these alterations. Here, we obtained transcriptomes from subgenual anterior cingulate cortex and amygdala samples from post-mortem brains of individuals with BD and neurotypical controls, including 511 total samples from 295 unique donors. We examined differential gene expression between cases and controls and the transcriptional effects of BD-associated genetic variants. We found two coexpressed modules that were associated with transcriptional changes in BD: one enriched for immune and inflammatory genes and the other with genes related to the postsynaptic membrane. Over 50% of BD genome-wide significant loci contained significant expression quantitative trait loci (QTL) (eQTL), and these data converged on several individual genes, including SCN2A and GRIN2A. Thus, these data implicate specific genes and pathways that may contribute to the pathology of BP.
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Affiliation(s)
- Peter P Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA. .,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Andrew E Jaffe
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,The Lieber Institute for Brain Development, Baltimore, MD, USA.,Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Emily E Burke
- The Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Leonardo Collado-Torres
- The Lieber Institute for Brain Development, Baltimore, MD, USA.,Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
| | | | - Arta Seyedian
- The Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Yian Lin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Fayaz Seifuddin
- The National Heart, Lung and Blood Institute, the National Institute of Health, Bethesda, MD, USA
| | - Mehdi Pirooznia
- The National Heart, Lung and Blood Institute, the National Institute of Health, Bethesda, MD, USA
| | - Christopher A Ross
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.,Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.,Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Joel E Kleinman
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.,The Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Daniel R Weinberger
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.,The Lieber Institute for Brain Development, Baltimore, MD, USA.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Thomas M Hyde
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA. .,The Lieber Institute for Brain Development, Baltimore, MD, USA. .,Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
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8
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Hafez AK, Zimmerman AJ, Papageorgiou G, Chandrasekaran J, Amoah SK, Lin R, Lozano E, Pierotti C, Dell'Orco M, Hartley BJ, Alural B, Lalonde J, Esposito JM, Berretta S, Squassina A, Chillotti C, Voloudakis G, Shao Z, Fullard JF, Brennand KJ, Turecki G, Roussos P, Perlis RH, Haggarty SJ, Perrone-Bizzozero N, Brigman JL, Mellios N. A bidirectional competitive interaction between circHomer1 and Homer1b within the orbitofrontal cortex regulates reversal learning. Cell Rep 2022; 38:110282. [PMID: 35045295 PMCID: PMC8809079 DOI: 10.1016/j.celrep.2021.110282] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 06/28/2021] [Accepted: 12/28/2021] [Indexed: 12/18/2022] Open
Abstract
Although circular RNAs (circRNAs) are enriched in the brain, their relevance for brain function and psychiatric disorders is poorly understood. Here, we show that circHomer1 is inversely associated with relative HOMER1B mRNA isoform levels in both the orbitofrontal cortex (OFC) and stem-cell-derived neuronal cultures of subjects with psychiatric disorders. We further demonstrate that in vivo circHomer1 knockdown (KD) within the OFC can inhibit the synaptic expression of Homer1b mRNA. Furthermore, we show that circHomer1 directly binds to Homer1b mRNA and that Homer1b-specific KD increases synaptic circHomer1 levels and improves OFC-mediated behavioral flexibility. Importantly, double circHomer1 and Homer1b in vivo co-KD results in a complete rescue in circHomer1-associated alterations in both chance reversal learning and synaptic gene expression. Lastly, we uncover an RNA-binding protein that can directly bind to circHomer1 and promote its biogenesis. Taken together, our data provide mechanistic insights into the importance of circRNAs in brain function and disease.
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Affiliation(s)
- Alexander K Hafez
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA; Autophagy Inflammation and Metabolism Center of Biomedical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Amber J Zimmerman
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Grigorios Papageorgiou
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | | | - Stephen K Amoah
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA; Autophagy Inflammation and Metabolism Center of Biomedical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Rixing Lin
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Evelyn Lozano
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Caroline Pierotti
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Michela Dell'Orco
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Brigham J Hartley
- Pamela Sklar Division of Psychiatric Genomics, Friedman Brain Institute, Departments of Genetics and Genomic Sciences, Neuroscience, and Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Begüm Alural
- Center for Genomic Medicine, Chemical Neurobiology Laboratory, Departments of Neurology and Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jasmin Lalonde
- Center for Genomic Medicine, Chemical Neurobiology Laboratory, Departments of Neurology and Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Sabina Berretta
- Translational Neuroscience Laboratory, Mclean Hospital, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Program in Neuroscience, Harvard Medical School, Boston, MA, USA
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Georgios Voloudakis
- Pamela Sklar Division of Psychiatric Genomics, New York, NY, USA; Department of Genetics and Genomic Sciences, New York, NY, USA; Icahn Institute for Data Science and Genomic Technology, New York, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zhiping Shao
- Pamela Sklar Division of Psychiatric Genomics, New York, NY, USA; Department of Genetics and Genomic Sciences, New York, NY, USA; Icahn Institute for Data Science and Genomic Technology, New York, NY, USA
| | - John F Fullard
- Pamela Sklar Division of Psychiatric Genomics, New York, NY, USA; Department of Genetics and Genomic Sciences, New York, NY, USA; Icahn Institute for Data Science and Genomic Technology, New York, NY, USA
| | - Kristen J Brennand
- Pamela Sklar Division of Psychiatric Genomics, Friedman Brain Institute, Departments of Genetics and Genomic Sciences, Neuroscience, and Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gustavo Turecki
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Panos Roussos
- Pamela Sklar Division of Psychiatric Genomics, New York, NY, USA; Department of Genetics and Genomic Sciences, New York, NY, USA; Icahn Institute for Data Science and Genomic Technology, New York, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Mental Illness Research, Education and Clinical Centers, James J. Peters VA Medical Center, Bronx, NY, USA
| | - Roy H Perlis
- Harvard Medical School, Department of Psychiatry, Boston, MA, USA; Center for Experimental Drugs and Diagnostics, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Stephen J Haggarty
- Center for Genomic Medicine, Chemical Neurobiology Laboratory, Departments of Neurology and Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Nora Perrone-Bizzozero
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Jonathan L Brigman
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Nikolaos Mellios
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA; Autophagy Inflammation and Metabolism Center of Biomedical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
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9
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Lin R, Lopez JP, Cruceanu C, Pierotti C, Fiori LM, Squassina A, Chillotti C, Dieterich C, Mellios N, Turecki G. Circular RNA circCCNT2 is upregulated in the anterior cingulate cortex of individuals with bipolar disorder. Transl Psychiatry 2021; 11:629. [PMID: 34893581 PMCID: PMC8664854 DOI: 10.1038/s41398-021-01746-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 11/18/2021] [Accepted: 11/25/2021] [Indexed: 01/12/2023] Open
Abstract
Gene expression dysregulation in the brain has been associated with bipolar disorder, but little is known about the role of non-coding RNAs. Circular RNAs are a novel class of long noncoding RNAs that have recently been shown to be important in brain development and function. However, their potential role in psychiatric disorders, including bipolar disorder, has not been well investigated. In this study, we profiled circular RNAs in the brain tissue of individuals with bipolar disorder. Total RNA sequencing was initially performed in samples from the anterior cingulate cortex of a cohort comprised of individuals with bipolar disorder (N = 13) and neurotypical controls (N = 13) and circular RNAs were identified and analyzed using "circtools". Significant circular RNAs were validated by RT-qPCR and replicated in the anterior cingulate cortex in an independent cohort (24 bipolar disorder cases and 27 controls). In addition, we conducted in vitro studies using B-lymphoblastoid cells collected from bipolar cases (N = 19) and healthy controls (N = 12) to investigate how circular RNAs respond following lithium treatment. In the discovery RNA sequencing analysis, 26 circular RNAs were significantly differentially expressed between bipolar disorder cases and controls (FDR < 0.1). Of these, circCCNT2 was RT-qPCR validated showing significant upregulation in bipolar disorder (p = 0.03). This upregulation in bipolar disorder was replicated in an independent post-mortem human anterior cingulate cortex cohort and in B-lymphoblastoid cell culture. Furthermore, circCCNT2 expression was reduced in response to lithium treatment in vitro. Together, our study is the first to associate circCCNT2 to bipolar disorder and lithium treatment.
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Affiliation(s)
- Rixing Lin
- grid.14709.3b0000 0004 1936 8649McGill Group for Suicide Studies, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Integrated Program in Neuroscience, McGill University, Montreal, QC Canada
| | - Juan Pablo Lopez
- grid.419548.50000 0000 9497 5095Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Bavaria 80804 Germany
| | - Cristiana Cruceanu
- grid.419548.50000 0000 9497 5095Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Caroline Pierotti
- grid.266832.b0000 0001 2188 8502Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM USA
| | - Laura M. Fiori
- grid.14709.3b0000 0004 1936 8649McGill Group for Suicide Studies, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC Canada
| | - Alessio Squassina
- grid.7763.50000 0004 1755 3242Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Christoph Dieterich
- Section of Bioinformatics and Systems Cardiology, Klaus Tschira Institute for Integrative Computational Cardiology, Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Heidelberg, Germany ,grid.452396.f0000 0004 5937 5237DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Berlin, Germany
| | - Nikolaos Mellios
- grid.266832.b0000 0001 2188 8502Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM USA ,Autophagy inflammation and metabolism (AIM) center, Albuquerque, NM USA
| | - Gustavo Turecki
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada. .,Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada.
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10
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He L, Zou P, Sun W, Fu Y, He W, Li J. Identification of lncRNA NR_028138.1 as a biomarker and construction of a ceRNA network for bipolar disorder. Sci Rep 2021; 11:15653. [PMID: 34341362 PMCID: PMC8329146 DOI: 10.1038/s41598-021-94122-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 07/06/2021] [Indexed: 01/01/2023] Open
Abstract
The pathogenesis of bipolar disorder (BD), a chronic mood disorder, is largely unknown. Noncoding RNAs play important roles in the pathogenesis of BD. However, little is known about the correlations of long noncoding RNAs (lncRNAs) with BD. Illumina high-throughput sequencing in BD patients and normal controls was used to identify differentially expressed (DE) genes. Two-step real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to validate DE-RNAs in the first cohort (50 BD and 50 control subjects). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and lncRNA-mRNA coexpression and lncRNA-microRNA (miRNA)-messenger RNA (mRNA) competing endogenous RNA (ceRNA) network analyses were used to predict the functions of DE-RNAs. Receiver operating characteristic (ROC) curve analysis and logistic regression were applied to evaluate diagnostic performance in an additional testing group (80 BD and 66 control subjects). A total of 576 significantly DE-lncRNAs and 262 DE-mRNAs were identified in BD patients, and 95 lncRNA-miRNA-mRNA interactions were used to construct a ceRNA regulatory network. Analysis of the first cohort showed that six RNAs (NR_028138.1, TCONS_00018621, TCONS_00002186, TNF, PID1, and SDK1) were differentially expressed in the BD group (P < 0.01). NR_028138.1 was used to establish a BD diagnostic model (area under the ROC curve 0.923, P < 0.004, 95% CI: 0.830–0.999). Verification in the second cohort revealed uniformly significant differences in NR_028138.1 (P < 0.0001). This study constructed a ceRNA regulatory network and provided a hypothesis for the pathogenesis of BD. NR_028138.1 was identified as a central element involved in the transcriptional regulation in BD and a potential biomarker.
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Affiliation(s)
- Ling He
- Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, Minde Road No. 1, Nanchang, 330006, Jiangxi, China
| | - Pengtao Zou
- Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, Minde Road No. 1, Nanchang, 330006, Jiangxi, China
| | - Wanlei Sun
- Department of Clinical Laboratory, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Yonghui Fu
- Department of Psychiatry, Jiangxi Mental Hospital, Nanchang, 330029, Jiangxi, China
| | - Wenfeng He
- Jiangxi Key Laboratory of Molecular Medicine, Second Affiliated Hospital of Nanchang University, Minde Road No. 1, Nanchang, 330006, Jiangxi, China.
| | - Juxiang Li
- Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, Minde Road No. 1, Nanchang, 330006, Jiangxi, China.
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11
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Neuroepigenetics of psychiatric disorders: Focus on lncRNA. Neurochem Int 2021; 149:105140. [PMID: 34298078 DOI: 10.1016/j.neuint.2021.105140] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 07/16/2021] [Accepted: 07/18/2021] [Indexed: 01/01/2023]
Abstract
Understanding the pathology of psychiatric disorders is challenging due to their complexity and multifactorial origin. However, development of high-throughput technologies has allowed for better insight into their molecular signatures. Advancement of sequencing methodologies have made it possible to study not only the protein-coding but also the noncoding genome. It is now clear that besides the genetic component, different epigenetic mechanisms play major roles in the onset and development of psychiatric disorders. Among them, examining the role of long noncoding RNAs (lncRNAs) is a relatively new field. Here, we present an overview of what is currently known about the involvement of lncRNAs in schizophrenia, major depressive and bipolar disorders, as well as suicide. The diagnosis of psychiatric disorders mainly relies on clinical evaluation without using measurable biomarkers. In this regard, lncRNA may open new opportunities for development of molecular tests. However, so far only a small set of known lncRNAs have been characterized at molecular level, which means they have a long way to go before clinical implementation. Understanding how changes in lncRNAs affect the appearance and development of psychiatric disorders may lead to a more classified and objective diagnostic system, but also open up new therapeutic targets for these patients.
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12
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Bella F, Campo S. Long non-coding RNAs and their involvement in bipolar disorders. Gene 2021; 796-797:145803. [PMID: 34175394 DOI: 10.1016/j.gene.2021.145803] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 06/22/2021] [Indexed: 01/22/2023]
Abstract
Non-coding RNAs (nc-RNAs) can be defined as RNA molecules that are not translated into proteins. Although the functional meaning of many nc-RNAs remains still to be verified, several of these molecules have a clear biological importance, which goes from translation of mRNAs to DNA replication. Indeed, regulatory nc-RNAs can be classified into two groups: short non-coding RNAs (sncRNAs) and long-non coding RNAs (lncRNAs). In the last years, lncRNAs have gained increasing importance in the study of gene regulation, helping authors understand the molecular mechanisms underlying cellular physiology and pathology. LncRNAs are greater than 200 bp and accumulate in nucleus, cytoplasm and exosomes with high tissue specificity, acting in cis or in trans in order to exert enhancer or silencer modulation on gene expression. Such regulatory features, which are widespread in human cells and tissues, can be disrupted in several morbid states. Recent evidences may suggest a disruption of lncRNAs in bipolar disorders, a cluster of severe, chronic and disabling psychiatric diseases, which are characterized by major depressive states cyclically alternating with manic episodes. Here, the authors reviewed genes, classification, biogenesis, structures, functions and databases regarding lncRNAs, and also focused on bipolar disorders, in which some lncRNAs, especially those involved in inflammation and neuronal development, has reported to be dysregulated.
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Affiliation(s)
- Fabrizio Bella
- Department of Biomedical and Dental Sciences and Morphofunctional Images, University of Messina, via Consolare Valeria, 1, Messina 98125 Italy
| | - Salvatore Campo
- Department of Biomedical and Dental Sciences and Morphofunctional Images, University of Messina, via Consolare Valeria, 1, Messina 98125 Italy.
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13
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A Comprehensive Review on the Role of Non-Coding RNAs in the Pathophysiology of Bipolar Disorder. Int J Mol Sci 2021; 22:ijms22105156. [PMID: 34068138 PMCID: PMC8152970 DOI: 10.3390/ijms22105156] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 05/06/2021] [Accepted: 05/07/2021] [Indexed: 01/02/2023] Open
Abstract
Aim: Bipolar disorder is a multifactorial disorder being linked with dysregulation of several genes. Among the recently acknowledged factors in the pathophysiology of bipolar disorder are non-coding RNAs (ncRNAs). Methods: We searched PubMed and Google Scholar databases to find studies that assessed the expression profile of miRNAs, lncRNAs and circRNAs in bipolar disorder. Results: Dysregulated ncRNAs in bipolar patients have been enriched in several neuron-related pathways such as GABAergic and glutamatergic synapses, morphine addiction pathway and redox modulation. Conclusion: Altered expression of these transcripts in bipolar disorder provides clues for identification of the pathogenesis of this disorder and design of targeted therapies for the treatment of patients.
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14
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Potential clinical value of circular RNAs as peripheral biomarkers for the diagnosis and treatment of major depressive disorder. EBioMedicine 2021; 66:103337. [PMID: 33862583 PMCID: PMC8054154 DOI: 10.1016/j.ebiom.2021.103337] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 03/15/2021] [Accepted: 03/24/2021] [Indexed: 12/18/2022] Open
Abstract
Background circular RNAs (circRNAs) are expressed abundantly in the brain and are implicated in the pathophysiology of neuropsychiatric disease. However, the potential clinical value of circRNAs in major depressive disorder (MDD) remains unclear. Methods RNA sequencing was conducted in whole-blood samples in a discovery set (7 highly homogeneous MDD patients and 7 matched healthy controls [HCs]). The differential expression of circRNAs was verified in an independent validation set. The interventional study was conducted to assess the potential effect of the antidepressive treatment on the circRNA expression. Findings in the validation set, compared with 52 HCs, significantly decreased circFKBP8 levels (Diff: -0.24; [95% CI -0.39 ~ -0.09]) and significantly elevated circMBNL1 levels (Diff: 0.37; [95% CI 0.09 ~ 0.64]) were observed in 53 MDD patients. The expression of circMBNL1 was negatively correlated with 24-item Hamilton Depression Scale (HAMD-24) scores in 53 MDD patients. A mediation model indicated that circMBNL1 affected HAMD-24 scores through a mediator, serum brain-derived neurotrophic factor. In 53 MDD patients, the amplitude of low-frequency fluctuations in the right orbital part middle frontal gyrus was positively correlated with circFKBP8 and circMBNL1 expression. Furthermore, the interventional study of 53 MDD patients demonstrated that antidepressive treatment partly increased circFKBP8 expression and the change in expression of circFKBP8 was predictive of further reduced HAMD-24 scores. Interpretation whole-blood circFKBP8 and circMBNL1 may be potential biomarkers for the diagnosis of MDD, respectively, and circFKBP8 may show great potential for the antidepressive treatment.
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15
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Yang S, Lim KH, Kim SH, Joo JY. Molecular landscape of long noncoding RNAs in brain disorders. Mol Psychiatry 2021; 26:1060-1074. [PMID: 33173194 DOI: 10.1038/s41380-020-00947-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 09/28/2020] [Accepted: 10/27/2020] [Indexed: 02/08/2023]
Abstract
According to current paradigms, various risk factors, such as genetic mutations, oxidative stress, neural network dysfunction, and abnormal protein degradation, contribute to the progression of brain disorders. Through the cooperation of gene transcripts in biological processes, the study of noncoding RNAs can lead to insights into the cause and treatment of brain disorders. Recently, long noncoding RNAs (lncRNAs) which are longer than 200 nucleotides in length have been suggested as key factors in various brain disorders. Accumulating evidence suggests the potential of lncRNAs as diagnostic or prognostic biomarkers and therapeutic targets. High-throughput screening-based sequencing has been instrumental in identification of lncRNAs that demand new approaches to understanding the progression of brain disorders. In this review, we discuss the recent progress in the study of lncRNAs, and addresses the pathogenesis of brain disorders that involve lncRNAs and describes the associations of lncRNAs with neurodegenerative disorders such as Alzheimer disease (AD), Parkinson disease (PD), and neurodevelopmental disorders. We also discuss potential targets of lncRNAs and their promise as novel therapeutics and biomarkers in brain disorders.
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Affiliation(s)
- Sumin Yang
- Neurodegenerative Disease Research Group, Korea Brain Research Institute, Daegu, 41062, Republic of Korea
| | - Key-Hwan Lim
- Neurodegenerative Disease Research Group, Korea Brain Research Institute, Daegu, 41062, Republic of Korea
| | - Sung-Hyun Kim
- Neurodegenerative Disease Research Group, Korea Brain Research Institute, Daegu, 41062, Republic of Korea
| | - Jae-Yeol Joo
- Neurodegenerative Disease Research Group, Korea Brain Research Institute, Daegu, 41062, Republic of Korea.
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16
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Li ML, Wang W, Jin ZB. Circular RNAs in the Central Nervous System. Front Mol Biosci 2021; 8:629593. [PMID: 33816552 PMCID: PMC8017125 DOI: 10.3389/fmolb.2021.629593] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 02/25/2021] [Indexed: 11/30/2022] Open
Abstract
Circular RNAs (circRNAs) are endogenous single-stranded RNAs characterized by covalently closed loop structures with neither 5′ to 3′ polarity nor poly(A) tails. They are generated most commonly from back-splicing of protein-coding exons. CircRNAs have a tissue-specific distribution and are evolutionarily conserved, and many circRNAs play important biological functions by combining with microRNAs and proteins to regulate protein functions and their own translation. Numerous studies have shown that circRNAs are enriched in the central nervous system (CNS) and play an important role in the development and maintenance of homeostasis. Correspondingly, they also play an important role in the occurrence and progression of CNS diseases. In this review, we highlight the current state of circRNA biogenesis, properties, function and the crucial roles they play in the CNS.
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Affiliation(s)
- Meng-Lan Li
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing, China
| | - Wen Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing, China
| | - Zi-Bing Jin
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing, China
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17
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Legrand A, Iftimovici A, Khayachi A, Chaumette B. Epigenetics in bipolar disorder: a critical review of the literature. Psychiatr Genet 2021; 31:1-12. [PMID: 33290382 DOI: 10.1097/ypg.0000000000000267] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Bipolar disorder (BD) is a chronic, disabling disease characterised by alternate mood episodes, switching through depressive and manic/hypomanic phases. Mood stabilizers, in particular lithium salts, constitute the cornerstone of the treatment in the acute phase as well as for the prevention of recurrences. The pathophysiology of BD and the mechanisms of action of mood stabilizers remain largely unknown but several pieces of evidence point to gene x environment interactions. Epigenetics, defined as the regulation of gene expression without genetic changes, could be the molecular substrate of these interactions. In this literature review, we summarize the main epigenetic findings associated with BD and response to mood stabilizers. METHODS We searched PubMed, and Embase databases and classified the articles depending on the epigenetic mechanisms (DNA methylation, histone modifications and non-coding RNAs). RESULTS We present the different epigenetic modifications associated with BD or with mood-stabilizers. The major reported mechanisms were DNA methylation, histone methylation and acetylation, and non-coding RNAs. Overall, the assessments are poorly harmonized and the results are more limited than in other psychiatric disorders (e.g. schizophrenia). However, the nature of BD and its treatment offer excellent opportunities for epigenetic research: clear impact of environmental factors, clinical variation between manic or depressive episodes resulting in possible identification of state and traits biomarkers, documented impact of mood-stabilizers on the epigenome. CONCLUSION Epigenetic is a growing and promising field in BD that may shed light on its pathophysiology or be useful as biomarkers of response to mood-stabilizer.
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Affiliation(s)
- Adrien Legrand
- Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris
| | - Anton Iftimovici
- Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris
- Neurospin, CEA, Gif-sur-Yvette, France
| | - Anouar Khayachi
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada
| | - Boris Chaumette
- Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris
- GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, Paris, France
- Department of Psychiatry, McGill University, Montreal, Canada
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18
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Changes in Non-Coding RNA in Depression and Bipolar Disorder: Can They Be Used as Diagnostic or Theranostic Biomarkers? Noncoding RNA 2020; 6:ncrna6030033. [PMID: 32846922 PMCID: PMC7549354 DOI: 10.3390/ncrna6030033] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 08/20/2020] [Accepted: 08/20/2020] [Indexed: 12/14/2022] Open
Abstract
The similarities between the depressive symptoms of Major Depressive Disorders (MDD) and Bipolar Disorders (BD) suggest these disorders have some commonality in their molecular pathophysiologies, which is not apparent from the risk genes shared between MDD and BD. This is significant, given the growing literature suggesting that changes in non-coding RNA may be important in both MDD and BD, because they are causing dysfunctions in the control of biochemical pathways that are affected in both disorders. Therefore, understanding the changes in non-coding RNA in MDD and BD will lead to a better understanding of how and why these disorders develop. Furthermore, as a significant number of individuals suffering with MDD and BD do not respond to medication, identifying non-coding RNA that are altered by the drugs used to treat these disorders offer the potential to identify biomarkers that could predict medication response. Such biomarkers offer the potential to quickly identify patients who are unlikely to respond to traditional medications so clinicians can refocus treatment strategies to ensure more effective outcomes for the patient. This review will focus on the evidence supporting the involvement of non-coding RNA in MDD and BD and their potential use as biomarkers for treatment response.
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19
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Gasparini S, Licursi V, Presutti C, Mannironi C. The Secret Garden of Neuronal circRNAs. Cells 2020; 9:E1815. [PMID: 32751850 PMCID: PMC7463782 DOI: 10.3390/cells9081815] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 07/24/2020] [Accepted: 07/28/2020] [Indexed: 12/15/2022] Open
Abstract
High-throughput transcriptomic profiling approaches have revealed that circular RNAs (circRNAs) are important transcriptional gene products, identified across a broad range of organisms throughout the eukaryotic tree of life. In the nervous system, they are particularly abundant, developmentally regulated, region-specific, and enriched in genes for neuronal proteins and synaptic factors. These features suggested that circRNAs are key components of an important layer of neuronal gene expression regulation, with known and anticipated functions. Here, we review major recognized aspects of circRNA biogenesis, metabolism and biological activities, examining potential new functions in the context of the nervous system.
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Affiliation(s)
- Silvia Gasparini
- Department of Biology and Biotechnology Charles Darwin, Sapienza University of Rome, 00185 Rome, Italy
| | - Valerio Licursi
- Department of Biology and Biotechnology Charles Darwin, Sapienza University of Rome, 00185 Rome, Italy
| | - Carlo Presutti
- Department of Biology and Biotechnology Charles Darwin, Sapienza University of Rome, 00185 Rome, Italy
| | - Cecilia Mannironi
- Institute of Molecular Biology and Pathology, National Research Council, 00185 Rome, Italy
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20
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Park DI. Genomics, transcriptomics, proteomics and big data analysis in the discovery of new diagnostic markers and targets for therapy development. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2020; 173:61-90. [PMID: 32711818 DOI: 10.1016/bs.pmbts.2020.04.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Highly complex endophenotypes and underlying molecular mechanisms have prevented effective diagnosis and treatment of autism spectrum disorder. Despite extensive studies to identify relevant biosignatures, no biomarker and therapeutic targets are available in the current clinical practice. While our current knowledge is still largely incomplete, -omics technology and machine learning-based big data analysis have provided novel insights on the etiology of autism spectrum disorders, elucidating systemic impairments that can be translated into biomarker and therapy target candidates. However, more integrated and sophisticated approaches are vital to realize molecular stratification and individualized treatment strategy. Ultimately, systemic approaches based on -omics and big data analysis will significantly contribute to more effective biomarker and therapy development for autism spectrum disorder.
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Affiliation(s)
- Dong Ik Park
- Danish Research Institute of Translational Neuroscience (DANDRITE)-Nordic EMBL Partnership for Molecular Medicine, Department of Biomedicine, Aarhus University, Aarhus, Denmark; The Danish National Research Foundation Center, PROMEMO, Department of Biomedicine, Aarhus University, Aarhus, Denmark.
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21
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Kathuria A, Lopez-Lengowski K, Vater M, McPhie D, Cohen BM, Karmacharya R. Transcriptome analysis and functional characterization of cerebral organoids in bipolar disorder. Genome Med 2020; 12:34. [PMID: 32306996 PMCID: PMC7168850 DOI: 10.1186/s13073-020-00733-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 04/02/2020] [Indexed: 02/06/2023] Open
Abstract
Background Reprogramming human induced pluripotent stem cells (iPSCs) from somatic cells and generating three-dimensional brain organoids from these iPSCs provide access to live human neuronal tissue with disease-specific genetic backgrounds. Methods Cerebral organoids were generated from iPSCs of eight bipolar disorder (BPI) patients and eight healthy control individuals. RNA-seq experiments were undertaken using RNA isolated from the cerebral organoids. Functional activity in the cerebral organoids was studied using microelectrode arrays. Results RNA-seq data comparing gene expression profiles in the cerebral organoids showed downregulation of pathways involved in cell adhesion, neurodevelopment, and synaptic biology in bipolar disorder along with upregulation of genes involved in immune signaling. The central hub in the network analysis was neurocan (NCAN), which is located in a locus with evidence for genome-wide significant association in BPI. Gene ontology analyses suggested deficits related to endoplasmic reticulum biology in BPI, which was supported by cellular characterization of ER–mitochondria interactions. Functional studies with microelectrode arrays revealed specific deficits in response to stimulation and depolarization in BPI cerebral organoids. Conclusions Our studies in cerebral organoids from bipolar disorder showed dysregulation in genes involved in cell adhesion, immune signaling, and endoplasmic reticulum biology; implicated a central role for the GWAS hit NCAN in the biology of BPI; and showed evidence of deficits in neurotransmission.
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Affiliation(s)
- Annie Kathuria
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Chemical Biology Program, Broad Institute of MIT & Harvard, Cambridge, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Kara Lopez-Lengowski
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Chemical Biology Program, Broad Institute of MIT & Harvard, Cambridge, MA, USA
| | - Magdalena Vater
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Chemical Biology Program, Broad Institute of MIT & Harvard, Cambridge, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Donna McPhie
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.,Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Bruce M Cohen
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.,Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Rakesh Karmacharya
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Chemical Biology Program, Broad Institute of MIT & Harvard, Cambridge, MA, USA. .,Department of Psychiatry, Harvard Medical School, Boston, MA, USA. .,Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA. .,Program in Neuroscience, Harvard University, Cambridge, MA, USA. .,Program in Chemical Biology, Harvard University, Cambridge, MA, USA. .,Harvard Stem Cell Institute, Cambridge, MA, USA.
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