1
|
Arakelyan A, Avagyan S, Kurnosov A, Mkrtchyan T, Mkrtchyan G, Zakharyan R, Mayilyan KR, Binder H. Temporal changes of gene expression in health, schizophrenia, bipolar disorder, and major depressive disorder. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:19. [PMID: 38368435 PMCID: PMC10874418 DOI: 10.1038/s41537-024-00443-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 02/02/2024] [Indexed: 02/19/2024]
Abstract
The molecular events underlying the development, manifestation, and course of schizophrenia, bipolar disorder, and major depressive disorder span from embryonic life to advanced age. However, little is known about the early dynamics of gene expression in these disorders due to their relatively late manifestation. To address this, we conducted a secondary analysis of post-mortem prefrontal cortex datasets using bioinformatics and machine learning techniques to identify differentially expressed gene modules associated with aging and the diseases, determine their time-perturbation points, and assess enrichment with expression quantitative trait loci (eQTL) genes. Our findings revealed early, mid, and late deregulation of expression of functional gene modules involved in neurodevelopment, plasticity, homeostasis, and immune response. This supports the hypothesis that multiple hits throughout life contribute to disease manifestation rather than a single early-life event. Moreover, the time-perturbed functional gene modules were associated with genetic loci affecting gene expression, highlighting the role of genetic factors in gene expression dynamics and the development of disease phenotypes. Our findings emphasize the importance of investigating time-dependent perturbations in gene expression before the age of onset in elucidating the molecular mechanisms of psychiatric disorders.
Collapse
Affiliation(s)
- Arsen Arakelyan
- Institute of Molecular Biology NAS RA, Yerevan, Armenia.
- Armenian Bioinformatics Institute, Yerevan, Armenia.
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan, Armenia.
| | | | | | - Tigran Mkrtchyan
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan, Armenia
| | | | - Roksana Zakharyan
- Institute of Molecular Biology NAS RA, Yerevan, Armenia
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan, Armenia
| | - Karine R Mayilyan
- Institute of Molecular Biology NAS RA, Yerevan, Armenia
- Department of Therapeutics, Faculty of General Medicine, University of Traditional Medicine, Yerevan, Armenia
| | - Hans Binder
- Armenian Bioinformatics Institute, Yerevan, Armenia
- Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany
| |
Collapse
|
2
|
Villacres JE, Riveira N, Kim S, Colgin LL, Noebels JL, Lopez AY. Abnormal patterns of sleep and waking behaviors are accompanied by neocortical oscillation disturbances in an Ank3 mouse model of epilepsy-bipolar disorder comorbidity. Transl Psychiatry 2023; 13:403. [PMID: 38123552 PMCID: PMC10733341 DOI: 10.1038/s41398-023-02700-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 11/28/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023] Open
Abstract
ANK3 is a leading bipolar disorder (BD) candidate gene in humans and provides a unique opportunity for studying epilepsy-BD comorbidity. Previous studies showed that deletion of Ank3-1b, a BD-associated variant of Ank3 in mice leads to increased firing threshold and diminished action potential dynamic range of parvalbumin (PV) interneurons and absence epilepsy, thus providing a biological mechanism linking epilepsy and BD. To explore the behavioral overlap of these disorders, we characterized behavioral patterns of Ank3-1b KO mice during overnight home-cage activity and examined network activity during these behaviors using paired video and EEG recordings. Since PV interneurons contribute to the generation of high-frequency gamma oscillations, we anticipated changes in the power of neocortical EEG signals in the gamma frequency range (> 25 Hz) during behavioral states related to human BD symptoms, including abnormal sleep, hyperactivity, and repetitive behaviors. Ank3-1b KO mice exhibited an overall increase in slow gamma (~25-45 Hz) power compared to controls, and slow gamma power correlated with seizure phenotype severity across behaviors. During sleep, increased slow gamma power correlated with decreased time spent in the rapid eye movement (REM) stage of sleep. Seizures were more common during REM sleep compared to non-REM (NREM) sleep. We also found that Ank3-1b KO mice were hyperactive and exhibited a repetitive behavior phenotype that co-occurred with increased slow gamma power. Our results identify a novel EEG biomarker associating Ank3 genetic variation with BD and epilepsy and suggest modulation of gamma oscillations as a potential therapeutic target.
Collapse
Affiliation(s)
- Juan E Villacres
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712-0805, USA
| | - Nicholas Riveira
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, 78712-0805, USA
| | - Sohmee Kim
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA
| | - Laura L Colgin
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Institute for Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA
| | - Jeffrey L Noebels
- Department of Neurology, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Angel Y Lopez
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX, 78712-0805, USA.
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA.
| |
Collapse
|
3
|
Zeng L, He Z, Liu D, Li K, Gu K, Sun Q, Mei G, Zhang Y, Yan S, Zhang F. Genetic analysis of a large Han Chinese family line with schizoaffective psychosis. Heliyon 2023; 9:e14943. [PMID: 37025789 PMCID: PMC10070140 DOI: 10.1016/j.heliyon.2023.e14943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 03/17/2023] [Accepted: 03/22/2023] [Indexed: 03/29/2023] Open
Abstract
To locate the specific susceptibility genes of a high incidence of schizoaffective disease (SAD) with autonomic dominant inheritance, we recruited a family group from Henan Province with a high incidence of SAD, including 19 individuals sampled from five generations. We used a genome-wide high-density SNP chip to perform genotype detection. The LINKAGE package and MENDEL programs were used for. The two-point and multipoint analyses were calculated by Merlin and SimWalk2 software to obtain the nonparametric linkage (NPL) value, corresponding P value, and parameter linkage limit of detection (LOD) value. Genome-wide linkage analysis yielded a significant linkage signal located on the short arm of chromosome 19. In the dominant genetic model, the LOD of the multipoint parametric analysis was 2.5, and the nonparametric analysis was 19.4 (P < 0.00001). Further haploid genotype analysis localized the candidate region in the 19p13.3-13.2 region, beginning at rs178414 and ending at rs11668751 with a physical length of approximately 4.9 Mb. We believe that the genes responsible for SAD are in this region.
Collapse
Affiliation(s)
- Liping Zeng
- The Clinical Laboratory of No.984 Hospital of the People's Liberation Army, Beijing, 100094, China
- Corresponding author. NO.984 Hospital of the People’s Liberation Army, Beijing, China
| | - Ziyun He
- College of Laboratory Medicine, Zunyi Medical University, Zunyi, 563006, China
| | - Di Liu
- The 3rd People's Hospital of Heilongjiang Province-Qinhuangdao Branch, Qinhuangdao, 066001,China
| | - Kai Li
- The Clinical Laboratory of No.984 Hospital of the People's Liberation Army, Beijing, 100094, China
| | - Kesheng Gu
- The Clinical Laboratory of No.984 Hospital of the People's Liberation Army, Beijing, 100094, China
| | - Qi Sun
- The Clinical Laboratory of No.984 Hospital of the People's Liberation Army, Beijing, 100094, China
| | - Guisen Mei
- The Clinical Laboratory of No.984 Hospital of the People's Liberation Army, Beijing, 100094, China
| | - Yingxue Zhang
- The Clinical Laboratory of No.984 Hospital of the People's Liberation Army, Beijing, 100094, China
| | - Shengkai Yan
- College of Laboratory Medicine, Zunyi Medical University, Zunyi, 563006, China
| | - Feng Zhang
- College of Laboratory Medicine, Zunyi Medical University, Zunyi, 563006, China
- Beijing Institute of Genomics, Chinese Academy of Sciences No. 1 Beichen West Road, Chaoyang District, Beijing, 100800, China
- Ori-Gene (ShangDong)Science and Technology Co., Ltd, 261000, China
- Corresponding author. College of Laboratory Medicine, Zunyi Medical University, Zunyi, China.
| |
Collapse
|
4
|
Abstract
BACKGROUND To date, besides genome-wide association studies, a variety of other genetic analyses (e.g. polygenic risk scores, whole-exome sequencing and whole-genome sequencing) have been conducted, and a large amount of data has been gathered for investigating the involvement of common, rare and very rare types of DNA sequence variants in bipolar disorder. Also, non-invasive neuroimaging methods can be used to quantify changes in brain structure and function in patients with bipolar disorder. AIMS To provide a comprehensive assessment of genetic findings associated with bipolar disorder, based on the evaluation of different genomic approaches and neuroimaging studies. METHOD We conducted a PubMed search of all relevant literatures from the beginning to the present, by querying related search strings. RESULTS ANK3, CACNA1C, SYNE1, ODZ4 and TRANK1 are five genes that have been replicated as key gene candidates in bipolar disorder pathophysiology, through the investigated studies. The percentage of phenotypic variance explained by the identified variants is small (approximately 4.7%). Bipolar disorder polygenic risk scores are associated with other psychiatric phenotypes. The ENIGMA-BD studies show a replicable pattern of lower cortical thickness, altered white matter integrity and smaller subcortical volumes in bipolar disorder. CONCLUSIONS The low amount of explained phenotypic variance highlights the need for further large-scale investigations, especially among non-European populations, to achieve a more complete understanding of the genetic architecture of bipolar disorder and the missing heritability. Combining neuroimaging data with genetic data in large-scale studies might help researchers acquire a better knowledge of the engaged brain regions in bipolar disorder.
Collapse
Affiliation(s)
- Mojtaba Oraki Kohshour
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Iran
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, USA
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, USA
| |
Collapse
|
5
|
Barizzone N, Cagliani R, Basagni C, Clarelli F, Mendozzi L, Agliardi C, Forni D, Tosi M, Mascia E, Favero F, Corà D, Corrado L, Sorosina M, Esposito F, Zuccalà M, Vecchio D, Liguori M, Comi C, Comi G, Martinelli V, Filippi M, Leone M, Martinelli-Boneschi F, Caputo D, Sironi M, Guerini FR, D’Alfonso S. An Investigation of the Role of Common and Rare Variants in a Large Italian Multiplex Family of Multiple Sclerosis Patients. Genes (Basel) 2021; 12:1607. [PMID: 34681001 PMCID: PMC8535321 DOI: 10.3390/genes12101607] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 09/26/2021] [Accepted: 10/01/2021] [Indexed: 12/30/2022] Open
Abstract
Known multiple sclerosis (MS) susceptibility variants can only explain half of the disease's estimated heritability, whereas low-frequency and rare variants may partly account for the missing heritability. Thus, here we sought to determine the occurrence of rare functional variants in a large Italian MS multiplex family with five affected members. For this purpose, we combined linkage analysis and next-generation sequencing (NGS)-based whole exome and whole genome sequencing (WES and WGS, respectively). The genetic burden attributable to known common MS variants was also assessed by weighted genetic risk score (wGRS). We found a significantly higher burden of common variants in the affected family members compared to that observed among sporadic MS patients and healthy controls (HCs). We also identified 34 genes containing at least one low-frequency functional variant shared among all affected family members, showing a significant enrichment in genes involved in specific biological processes-particularly mRNA transport-or neurodegenerative diseases. Altogether, our findings point to a possible pathogenic role of different low-frequency functional MS variants belonging to shared pathways. We propose that these rare variants, together with other known common MS variants, may account for the high number of affected family members within this MS multiplex family.
Collapse
Affiliation(s)
- Nadia Barizzone
- Department of Health Sciences, CAAD (Center for Translational Research on Autoimmune and Allergic Diseases), University of Eastern Piedmont, 28100 Novara, Italy; (C.B.); (M.T.); (L.C.); (M.Z.)
| | - Rachele Cagliani
- Bioinformatics, Scientific Institute IRCCS E.MEDEA, 23842 Bosisio Parini, Italy; (R.C.); (D.F.); (M.S.)
| | - Chiara Basagni
- Department of Health Sciences, CAAD (Center for Translational Research on Autoimmune and Allergic Diseases), University of Eastern Piedmont, 28100 Novara, Italy; (C.B.); (M.T.); (L.C.); (M.Z.)
| | - Ferdinando Clarelli
- Laboratory of Genetics of Neurological Complex Disorders, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy; (F.C.); (E.M.); (M.S.); (F.E.)
| | - Laura Mendozzi
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy; (L.M.); (C.A.); (D.C.); (F.R.G.)
| | - Cristina Agliardi
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy; (L.M.); (C.A.); (D.C.); (F.R.G.)
| | - Diego Forni
- Bioinformatics, Scientific Institute IRCCS E.MEDEA, 23842 Bosisio Parini, Italy; (R.C.); (D.F.); (M.S.)
| | - Martina Tosi
- Department of Health Sciences, CAAD (Center for Translational Research on Autoimmune and Allergic Diseases), University of Eastern Piedmont, 28100 Novara, Italy; (C.B.); (M.T.); (L.C.); (M.Z.)
| | - Elisabetta Mascia
- Laboratory of Genetics of Neurological Complex Disorders, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy; (F.C.); (E.M.); (M.S.); (F.E.)
| | - Francesco Favero
- Department of Translational Medicine, CAAD (Center for Translational Research on Autoimmune and Allergic Diseases), University of Eastern Piedmont, 28100 Novara, Italy; (F.F.); (D.C.)
| | - Davide Corà
- Department of Translational Medicine, CAAD (Center for Translational Research on Autoimmune and Allergic Diseases), University of Eastern Piedmont, 28100 Novara, Italy; (F.F.); (D.C.)
| | - Lucia Corrado
- Department of Health Sciences, CAAD (Center for Translational Research on Autoimmune and Allergic Diseases), University of Eastern Piedmont, 28100 Novara, Italy; (C.B.); (M.T.); (L.C.); (M.Z.)
| | - Melissa Sorosina
- Laboratory of Genetics of Neurological Complex Disorders, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy; (F.C.); (E.M.); (M.S.); (F.E.)
| | - Federica Esposito
- Laboratory of Genetics of Neurological Complex Disorders, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy; (F.C.); (E.M.); (M.S.); (F.E.)
| | - Miriam Zuccalà
- Department of Health Sciences, CAAD (Center for Translational Research on Autoimmune and Allergic Diseases), University of Eastern Piedmont, 28100 Novara, Italy; (C.B.); (M.T.); (L.C.); (M.Z.)
| | - Domizia Vecchio
- Department of Translational Medicine, IRCAD (Interdisciplinary Research Center of Autoimmune Diseases), University of Eastern Piedmont, 28100 Novara, Italy; (D.V.); (C.C.)
| | - Maria Liguori
- Institute of Biomedical Technologies, Bari Unit, National Research Council, 70126 Bari, Italy;
| | - Cristoforo Comi
- Department of Translational Medicine, IRCAD (Interdisciplinary Research Center of Autoimmune Diseases), University of Eastern Piedmont, 28100 Novara, Italy; (D.V.); (C.C.)
| | - Giancarlo Comi
- Vita-Salute San Raffaele University, 20132 Milan, Italy; (G.C.); (M.F.)
| | - Vittorio Martinelli
- Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy;
| | - Massimo Filippi
- Vita-Salute San Raffaele University, 20132 Milan, Italy; (G.C.); (M.F.)
- Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy;
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
| | - Maurizio Leone
- Dipartimento di Emergenza e Area Critica, UO Neurologia, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy;
| | - Filippo Martinelli-Boneschi
- Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, Neuroscience Section, University of Milan, 20122 Milan, Italy;
- Neurology Unit and MS Centre, Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Domenico Caputo
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy; (L.M.); (C.A.); (D.C.); (F.R.G.)
| | - Manuela Sironi
- Bioinformatics, Scientific Institute IRCCS E.MEDEA, 23842 Bosisio Parini, Italy; (R.C.); (D.F.); (M.S.)
| | - Franca Rosa Guerini
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy; (L.M.); (C.A.); (D.C.); (F.R.G.)
| | - Sandra D’Alfonso
- Department of Health Sciences, CAAD (Center for Translational Research on Autoimmune and Allergic Diseases), University of Eastern Piedmont, 28100 Novara, Italy; (C.B.); (M.T.); (L.C.); (M.Z.)
| |
Collapse
|