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de Sousa TR, Dt C, Novais F. Exploring the Hypothesis of a Schizophrenia and Bipolar Disorder Continuum: Biological, Genetic and Pharmacologic Data. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2023; 22:161-171. [PMID: 34477537 DOI: 10.2174/1871527320666210902164235] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 07/19/2021] [Accepted: 08/08/2021] [Indexed: 12/16/2022]
Abstract
Present time nosology has its roots in Kraepelin's demarcation of schizophrenia and bipolar disorder. However, accumulating evidence has shed light on several commonalities between the two disorders, and some authors have advocated for the consideration of a disease continuum. Here, we review previous genetic, biological and pharmacological findings that provide the basis for this conceptualization. There is a cross-disease heritability, and they share single-nucleotide polymorphisms in some common genes. EEG and imaging patterns have a number of similarities, namely reduced white matter integrity and abnormal connectivity. Dopamine, serotonin, GABA and glutamate systems have dysfunctional features, some of which are identical among the disorders. Finally, cellular calcium regulation and mitochondrial function are, also, impaired in the two.
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Affiliation(s)
- Teresa Reynolds de Sousa
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
| | - Correia Dt
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
- Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
- ISAMB - Instituto de Saúde Ambiental, Lisboa, Portugal
| | - Filipa Novais
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
- Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
- ISAMB - Instituto de Saúde Ambiental, Lisboa, Portugal
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152
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BDNF Levels According to Variations in the CACNA1C Gene: Sex-Based Disparity. Cell Mol Neurobiol 2023; 43:357-366. [PMID: 35128618 DOI: 10.1007/s10571-022-01189-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 01/03/2022] [Indexed: 01/07/2023]
Abstract
The CACNA1C gene encodes the pore-forming alpha-1c subunit of L-type voltage-gated calcium channels. The calcium influx through these channels regulates the transcription of the brain-derived neurotrophic factor (BDNF). Polymorphisms in this gene have been consistently associated with psychiatric disorders, and alterations in BDNF levels are a possible biological mechanism to explain such associations. Here, we sought to investigate the effect of the CACNA1C rs1006737 and rs4765913 polymorphisms and their haplotypes on serum BDNF concentration. We further aim to investigate the regulatory function of these SNPs and the ones linked to them. The study enrolled 641 young adults (362 women and 279 men) in a cross-sectional population-based survey. Linear regression was used to test the effects of polymorphisms and haplotypes on BDNF levels adjusted for potential confounders. Moreover, regulatory putative functional roles were assessed using in silico approach. BDNF levels were not associated with CACNA1C polymorphisms/haplotype in the total sample. When the sample was stratified by sex, checking the effect of polymorphisms on men and women separately, the A-allele of rs4765913 was associated with lower BDNF levels in women compared with the TT genotype (p = 0.010). The AA (rs1006737-rs4765913) haplotype was associated with BDNF levels in opposite directions regarding sex, with lower levels of BDNF in women (p = 0.040) compared to those without this haplotype, while with higher levels in men (p = 0.027). These findings were supported by the presence of regulatory marks only on the male fetal brain. Our results suggest that the BDNF levels regulation may be a potential mechanism underpinning the association between CACNA1C and psychiatric disorders, with a differential role in women and men.
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153
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Hessenberger M, Haddad S, Obermair GJ. Pathophysiological Roles of Auxiliary Calcium Channel α 2δ Subunits. Handb Exp Pharmacol 2023; 279:289-316. [PMID: 36598609 DOI: 10.1007/164_2022_630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
α2δ proteins serve as auxiliary subunits of voltage-gated calcium channels, which are essential components of excitable cells such as skeletal and heart muscles, nerve cells of the brain and the peripheral nervous system, as well as endocrine cells. Over the recent years, α2δ proteins have been identified as critical regulators of synaptic functions, including the formation and differentiation of synapses. These functions require signalling mechanisms which are partly independent of calcium channels. Hence, in light of these features it is not surprising that the genes encoding for the four α2δ isoforms have recently been linked to neurological and neurodevelopmental disorders including epilepsy, autism spectrum disorders, schizophrenia, and depressive and bipolar disorders. Despite the increasing number of identified disease-associated mutations, the underlying pathophysiological mechanisms are only beginning to emerge. However, a thorough understanding of the pathophysiological role of α2δ proteins ideally serves two purposes: first, it will contribute to our understanding of general pathological mechanisms in synaptic disorders. Second, it may support the future development of novel and specific treatments for brain disorders. In this context, it is noteworthy that the antiepileptic and anti-allodynic drugs gabapentin and pregabalin both act via binding to α2δ proteins and are among the top sold drugs for treating neuropathic pain. In this book chapter, we will discuss recent developments in our understanding of the functions of α2δ proteins, both as calcium channel subunits and as independent regulatory entities. Furthermore, we present and summarize recently identified and likely pathogenic mutations in the genes encoding α2δ proteins and discuss potential underlying pathophysiological consequences at the molecular and structural level.
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Affiliation(s)
- Manuel Hessenberger
- Division Physiology, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Krems, Austria
| | - Sabrin Haddad
- Division Physiology, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Krems, Austria
- Institute of Physiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Gerald J Obermair
- Division Physiology, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Krems, Austria.
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154
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Karaman E, Yazıcı AR, Doğan BG, Gökalp S, Eni N, Etçi Ş, Yazıcı MK. Oral Health Status of Outpatients with Schizophrenia in Ankara, Türkiye: A Descriptive Study. TURK PSIKIYATRI DERGISI = TURKISH JOURNAL OF PSYCHIATRY 2023; 34:262-271. [PMID: 38173327 PMCID: PMC10786350 DOI: 10.5080/u27364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 11/08/2023] [Indexed: 01/05/2024]
Abstract
OBJECTIVES To evaluate the oral health status and denture treatment needs of a group of outpatients with schizophrenia. METHODS One hundred and eighty-eight patients diagnosed with schizophrenia were evaluated. Socio-demographic characteristics, eating habits, alcohol consumption, smoking status, oral hygiene attitudes, medical status, medications and the data related to dental visit were obtained via structured questionnaire of 45 questions. Medication information were confirmed from hospital records. The DMFT score (the Total of decayed, missing and filled teeth), denture status, Community Periodontal Index of Treatment (CPITN) and attachment loss were recorded in accordance with the criteria defined by the WHO. RESULTS The mean DMFT score was 11.1±8.6. Total number of teeth decreased, while the number of decayed teeth and DMFT scores increased with age (p<0.001). There was no relationship between the anticholinergic effects of antipsychotics and the teeth count, number of decayed, filled and missing teeth, and the DMFT scores. The CPITN assessment revealed that 71.6% of the patients had healthy periodontium, 7.4% exhibited gingival bleeding upon probing, and 21% had dental calculus. Psychotropic medication and tooth brushing habits were associated with CPITN scores. Male sex was associated with higher frequency of denture need (p<0.001), while no association was observed with the education level and antipsychotic use (p>0.001). CONCLUSION Physicians and dentists have to work in coordination to maintain good oral health of patients with schizophrenia. Patients should be encouraged for regular dental check-ups and dentist should take utmost care of the oral hygiene maintenance.
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Affiliation(s)
- Emel Karaman
- Assoc. Prof., Ondokuz Mayıs University School of Dentistry, Department of Restorative Dentistry, Samsun
| | - Ayşe Rüya Yazıcı
- Prof, Hacettepe University Faculty of Medicine, Institute of Public Health, Ankara
| | - Bahar Güçiz Doğan
- Prof., Hacettepe University Faculty of Medicine, Institute of Public Health, Ankara
| | - Saadet Gökalp
- Retired Prof., Hacettepe University School of Dentistry, Department of Restorative Dentistry, Ankara
| | - Nurhayat Eni
- Nurse, Hacettepe University School of Dentistry, Department of Restorative Dentistry, Ankara
| | - Şengül Etçi
- Dentist, DDS, PhD, Burdur Oral and Dental Health Center, Burdur, Turkey
| | - M. Kâzım Yazıcı
- Retired Prof., Hacettepe University Faculty of Medicine, Departmentof Psychiatry, Ankara
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155
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Klomp AJ, Plumb A, Mehr JB, Madencioglu DA, Wen H, Williams AJ. Neuronal deletion of Ca V1.2 is associated with sex-specific behavioral phenotypes in mice. Sci Rep 2022; 12:22152. [PMID: 36550186 PMCID: PMC9780340 DOI: 10.1038/s41598-022-26504-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
The gene CACNA1C, which encodes the pore forming subunit of the L-type calcium channel CaV1.2, is associated with increased risk for neuropsychiatric disorders including schizophrenia, autism spectrum disorder, major depression, and bipolar disorder. Previous rodent work identified that loss or reduction of CaV1.2 results in cognitive, affective, and motor deficits. Most previous work has either included non-neuronal cell populations (haploinsufficient and Nestin-Cre) or investigated a discrete neuronal cell population (e.g. CaMKII-Cre, Drd1-Cre), but few studies have examined the effects of more broad neuron-specific deletion of CaV1.2. Additionally, most of these studies did not evaluate for sex-specific effects or used only male animals. Here, we sought to clarify whether there are sex-specific behavioral consequences of neuron-specific deletion of CaV1.2 (neuronal CaV1.2 cKO) using Syn1-Cre-mediated conditional deletion. We found that neuronal CaV1.2 cKO mice have normal baseline locomotor function but female cKO mice display impaired motor performance learning. Male neuronal CaV1.2 cKO display impaired startle response with intact pre-pulse inhibition. Male neuronal CaV1.2 cKO mice did not display normal social preference, whereas female neuronal CaV1.2 cKO mice did. Neuronal CaV1.2 cKO mice displayed impaired associative learning in both sexes, as well as normal anxiety-like behavior and hedonic capacity. We conclude that deletion of neuronal CaV1.2 alters motor performance, acoustic startle reflex, and social behaviors in a sex-specific manner, while associative learning deficits generalize across sexes. Our data provide evidence for both sex-specific and sex-independent phenotypes related to neuronal expression of CaV1.2.
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Affiliation(s)
- Annette J Klomp
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Ashley Plumb
- Department of Physical Therapy and Rehabilitation Science, University of Iowa, Iowa City, IA, USA
| | - Jacqueline B Mehr
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
- Brain Health Institute, Rutgers University, Piscataway, NJ, USA
| | - Deniz A Madencioglu
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Hsiang Wen
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Aislinn J Williams
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA.
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA.
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156
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Liu D, Wu L, Wei H, Zhu C, Tian R, Zhu W, Xu Q. The SFT2D2 gene is associated with the autoimmune pathology of schizophrenia in a Chinese population. Front Neurol 2022; 13:1037777. [PMID: 36619926 PMCID: PMC9810986 DOI: 10.3389/fneur.2022.1037777] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/10/2022] [Indexed: 12/24/2022] Open
Abstract
Background The relative risk of GWAS-confirmed loci strongly associated with schizophrenia may be underestimated due to the decay of linkage disequilibrium between index SNPs and causal variants. This study is aimed to investigate schizophrenia-associated signals detected in the 1q24-25 region in order to identify a causal variant in LD with GWAS index SNPs, and the potential biological functions of the risk gene. Methods Re-genotyping analysis was performed in the 1q24-25 region that harbors three GWAS index SNPs associated with schizophrenia (rs10489202, rs11586522, and rs6670165) in total of 9801 case-control subjects of Chinese Han origin. Circulating autoantibody levels were assessed using an in-house ELISA against a protein derived fragment encoded by SFT2D2 in total of 682 plasma samples. Results A rare variant (rs532193193) in the SFT2D2 locus was identified to be strongly associated with schizophrenia. Compared with control subjects, patients with schizophrenia showed increased anti-SFT2D2 IgG levels. Receiver operating characteristic (ROC) analysis revealed an area under the ROC curve (AUC) of 0.803 with sensitivity of 28.57% against specificity of 95% for the anti-SFT2D2 IgG assay. Discussion Our findings indicate that SFT2D2 is a novel gene for risk of schizophrenia, while endogenous anti-SFT2D2 IgG may underlie the pathophysiology of the immunological aspects of schizophrenia.
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Affiliation(s)
- Duilin Liu
- State Key Laboratory of Medical Molecular Biology, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China
| | - Lin Wu
- State Key Laboratory of Medical Molecular Biology, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China,Laboratory of Molecular Diagnostics, Beijing Boren Hospital, Beijing, China
| | - Hui Wei
- State Key Laboratory of Medical Molecular Biology, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China,Neuroscience Center, Chinese Academy of Medical Sciences, Beijing, China
| | - Caiyun Zhu
- State Key Laboratory of Medical Molecular Biology, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China,Neuroscience Center, Chinese Academy of Medical Sciences, Beijing, China
| | - Runhui Tian
- Mental Health Center, The First Bethune Hospital of Jilin University, Changchun, China
| | - Wanwan Zhu
- State Key Laboratory of Medical Molecular Biology, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China,Neuroscience Center, Chinese Academy of Medical Sciences, Beijing, China
| | - Qi Xu
- State Key Laboratory of Medical Molecular Biology, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China,Neuroscience Center, Chinese Academy of Medical Sciences, Beijing, China,*Correspondence: Qi Xu
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157
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Kim Y, Suh BC. Editorial: Brain cells' compensatory mechanisms in response to disease risk factors. Front Mol Neurosci 2022; 15:1096287. [PMID: 36606142 PMCID: PMC9808396 DOI: 10.3389/fnmol.2022.1096287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 12/02/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Yong Kim
- Department of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, United States,Brain Health Institute, Rutgers University, Piscataway, NJ, United States,*Correspondence: Yong Kim ✉
| | - Byung-Chang Suh
- Department of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea,Byung-Chang Suh ✉
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158
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Ibrahim WW, Sayed RH, Kandil EA, Wadie W. Niacin mitigates blood-brain barrier tight junctional proteins dysregulation and cerebral inflammation in ketamine rat model of psychosis: Role of GPR109A receptor. Prog Neuropsychopharmacol Biol Psychiatry 2022; 119:110583. [PMID: 35690118 DOI: 10.1016/j.pnpbp.2022.110583] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 06/05/2022] [Accepted: 06/05/2022] [Indexed: 01/25/2023]
Abstract
Dysregulated inflammatory responses and blood-brain barrier (BBB) dysfunction are recognized as central factors in the development of psychiatric disorders. The present study was designed to evaluate the effect of niacin on BBB integrity in ketamine-induced model of psychosis. Meanwhile, mepenzolate bromide (MPN), a GPR109A receptor blocker, was used to investigate the role of this receptor on the observed niacin's effect. Male Wistar rats received ketamine (30 mg/kg/day, i.p) for 5 consecutive days and then niacin (40 mg/kg/day, p.o), with or without MPN (5 mg/kg/day, i.p), was given for the subsequent 15 days. Three days before the end of experiment, rats were behaviorally tested using open field, novel object recognition, social interaction, and forced swimming tests. Niacin significantly ameliorated ketamine-induced behavioral deficits, amended gamma aminobutyric acid and glutamate concentration, decreased tumor necrosis factor-α and matrix metallopeptidase 9 levels, and increased netrin-1 contents in the hippocampus of rats. Niacin also augmented the hippocampal expression of ZO-1, occludin, and claudin-5 proteins, indicating the ability of niacin to restore the BBB integrity. Moreover, the histopathologic changes in hippocampal neurons were alleviated. Since all the beneficial effects of niacin in the present investigation were partially abolished by the co-administration of MPN; GPR109A receptor was proven to partially mediate the observed antipsychotic effects of niacin. These data revealed that GPR109A-mediated signaling pathways might represent potential targets for therapeutic interventions to prevent or slow the progression of psychosis.
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Affiliation(s)
- Weam W Ibrahim
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Cairo University, Egypt
| | - Rabab H Sayed
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Cairo University, Egypt.
| | - Esraa A Kandil
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Cairo University, Egypt
| | - Walaa Wadie
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Cairo University, Egypt
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159
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Kishimoto T, Nakamura H, Kano Y, Eguchi Y, Kitazawa M, Liang KC, Kudo K, Sento A, Takamiya A, Horigome T, Yamasaki T, Sunami Y, Kikuchi T, Nakajima K, Tomita M, Bun S, Momota Y, Sawada K, Murakami J, Takahashi H, Mimura M. Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology. Front Psychiatry 2022; 13:954703. [PMID: 36532181 PMCID: PMC9752868 DOI: 10.3389/fpsyt.2022.954703] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 11/11/2022] [Indexed: 12/04/2022] Open
Abstract
Introduction Psychiatric disorders are diagnosed through observations of psychiatrists according to diagnostic criteria such as the DSM-5. Such observations, however, are mainly based on each psychiatrist's level of experience and often lack objectivity, potentially leading to disagreements among psychiatrists. In contrast, specific linguistic features can be observed in some psychiatric disorders, such as a loosening of associations in schizophrenia. Some studies explored biomarkers, but biomarkers have yet to be used in clinical practice. Aim The purposes of this study are to create a large dataset of Japanese speech data labeled with detailed information on psychiatric disorders and neurocognitive disorders to quantify the linguistic features of those disorders using natural language processing and, finally, to develop objective and easy-to-use biomarkers for diagnosing and assessing the severity of them. Methods This study will have a multi-center prospective design. The DSM-5 or ICD-11 criteria for major depressive disorder, bipolar disorder, schizophrenia, and anxiety disorder and for major and minor neurocognitive disorders will be regarded as the inclusion criteria for the psychiatric disorder samples. For the healthy subjects, the absence of a history of psychiatric disorders will be confirmed using the Mini-International Neuropsychiatric Interview (M.I.N.I.). The absence of current cognitive decline will be confirmed using the Mini-Mental State Examination (MMSE). A psychiatrist or psychologist will conduct 30-to-60-min interviews with each participant; these interviews will include free conversation, picture-description task, and story-telling task, all of which will be recorded using a microphone headset. In addition, the severity of disorders will be assessed using clinical rating scales. Data will be collected from each participant at least twice during the study period and up to a maximum of five times at an interval of at least one month. Discussion This study is unique in its large sample size and the novelty of its method, and has potential for applications in many fields. We have some challenges regarding inter-rater reliability and the linguistic peculiarities of Japanese. As of September 2022, we have collected a total of >1000 records from >400 participants. To the best of our knowledge, this data sample is one of the largest in this field. Clinical Trial Registration Identifier: UMIN000032141.
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Affiliation(s)
- Taishiro Kishimoto
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
- Hills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, Tokyo, Japan
| | - Hironobu Nakamura
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yoshinobu Kano
- Faculty of Informatics, Shizuoka University, Shizuoka, Japan
| | - Yoko Eguchi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Momoko Kitazawa
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kuo-ching Liang
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Koki Kudo
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
- Department of Neuropsychiatry, St. Marianna University School of Medicine Hospital, Kawasaki, Japan
| | - Ayako Sento
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Akihiro Takamiya
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Toshiro Horigome
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Toshihiko Yamasaki
- Computer Vision and Media Lab (Yamasaki Lab), Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Yuki Sunami
- Keio University School of Medicine, Tokyo, Japan
| | - Toshiaki Kikuchi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kazuki Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | | | - Shogyoku Bun
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
- Department of Psychiatry, Koutokukai Sato Hospital, Yamagata, Japan
| | - Yuki Momota
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kyosuke Sawada
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | | | - Hidehiko Takahashi
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
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160
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Sanderson JL, Freund RK, Castano AM, Benke TA, Dell'Acqua ML. The Ca V1.2 G406R mutation decreases synaptic inhibition and alters L-type Ca 2+ channel-dependent LTP at hippocampal synapses in a mouse model of Timothy Syndrome. Neuropharmacology 2022; 220:109271. [PMID: 36162529 PMCID: PMC9644825 DOI: 10.1016/j.neuropharm.2022.109271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/09/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022]
Abstract
Genetic alterations in autism spectrum disorders (ASD) frequently disrupt balance between synaptic excitation and inhibition and alter plasticity in the hippocampal CA1 region. Individuals with Timothy Syndrome (TS), a genetic disorder caused by CaV1.2 L-type Ca2+ channel (LTCC) gain-of function mutations, such as G406R, exhibit social deficits, repetitive behaviors, and cognitive impairments characteristic of ASD that are phenocopied in TS2-neo mice expressing G406R. Here, we characterized hippocampal CA1 synaptic function in male TS2-neo mice and found basal excitatory transmission was slightly increased and inhibitory transmission strongly decreased. We also found distinct impacts on two LTCC-dependent forms of long-term potentiation (LTP) synaptic plasticity that were not readily consistent with LTCC gain-of-function. LTP induced by high-frequency stimulation (HFS) was strongly impaired in TS2-neo mice, suggesting decreased LTCC function. Yet, CaV1.2 expression, basal phosphorylation, and current density were similar for WT and TS2-neo. However, this HFS-LTP also required GABAA receptor activity, and thus may be impaired in TS2-neo due to decreased inhibitory transmission. In contrast, LTP induced in WT mice by prolonged theta-train (PTT) stimulation in the presence of a β-adrenergic receptor agonist to increase CaV1.2 phosphorylation was partially induced in TS2-neo mice by PTT stimulation alone, consistent with increased LTCC function. Overall, our findings provide insights regarding how altered CaV1.2 channel function disrupts basal transmission and plasticity that could be relevant for neurobehavioral alterations in ASD.
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Affiliation(s)
- Jennifer L Sanderson
- Department of Pharmacology, University of Colorado School of Medicine, Anschutz Medical Campus, 12800 E. 19th Ave, Mail Stop 8303, Aurora, CO, 80045, USA
| | - Ronald K Freund
- Department of Pharmacology, University of Colorado School of Medicine, Anschutz Medical Campus, 12800 E. 19th Ave, Mail Stop 8303, Aurora, CO, 80045, USA
| | - Anna M Castano
- Department of Pharmacology, University of Colorado School of Medicine, Anschutz Medical Campus, 12800 E. 19th Ave, Mail Stop 8303, Aurora, CO, 80045, USA
| | - Timothy A Benke
- Department of Pharmacology, University of Colorado School of Medicine, Anschutz Medical Campus, 12800 E. 19th Ave, Mail Stop 8303, Aurora, CO, 80045, USA; Departments of Pediatrics, Neurology, and Otolaryngology, University of Colorado School of Medicine, Anschutz Medical Campus, 12800 E. 19th Ave, Mail Stop 8303, Aurora, CO, 80045, USA
| | - Mark L Dell'Acqua
- Department of Pharmacology, University of Colorado School of Medicine, Anschutz Medical Campus, 12800 E. 19th Ave, Mail Stop 8303, Aurora, CO, 80045, USA.
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161
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DiCriscio AS, Wain KE, Smith J, Beiler D, Walsh LK, Holdren K, Troiani V. Higher scores on autonomic symptom scales in pediatric patients with neurodevelopmental disorders of known genetic etiology. Brain Behav 2022; 12:e2813. [PMID: 36423250 PMCID: PMC9759134 DOI: 10.1002/brb3.2813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 10/03/2022] [Accepted: 10/18/2022] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION Features of underlying autonomic dysfunction, including sleep disturbances, gastrointestinal problems, and atypical heart rate, have been reported in neurodevelopmental conditions, including autism spectrum disorder (ASD). The current cross-sectional, between-groups study aimed to quantify symptoms of autonomic dysfunction in a neurodevelopmental pediatric cohort characterized by clinical diagnoses as well as genetic etiology. METHOD The Pediatric Autonomic Symptom Scales (PASS) questionnaire was used to assess autonomic features across a group of patients with clinical neurodevelopmental diagnoses (NPD; N = 90) and genetic etiologies. Patients were subdivided based on either having a clinical ASD diagnosis (NPD-ASD; n = 37) or other non-ASD neurodevelopmental diagnoses, such as intellectual disability without ASD, speech and language disorders, and/or attention deficit hyperactivity disorder (NPD-OTHER; n = 53). Analyses focused on characterizing differences between the NPD group compared to previously published reference samples, as well as differences between the two NPD subgroups (NPD-ASD and NPD-OTHER). RESULTS Our results indicate higher PASS scores in our NPD cohort relative to children with and without ASD from a previously published cohort. However, we did not identify significant group differences between our NPD-ASD and NPD-OTHER subgroups. Furthermore, we find a significant relationship between quantitative ASD traits and symptoms of autonomic function. CONCLUSION This work demonstrates the utility of capturing quantitative estimates of autonomic trait dimensions that may be significantly linked with psychosocial impairments and other core clinical features of ASD.
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Affiliation(s)
- Antoinette S DiCriscio
- Geisinger Health System, Autism & Developmental Medicine Institute (ADMI), Lewisburg, Pennsylvania, USA
| | - K E Wain
- Geisinger Health System, Autism & Developmental Medicine Institute (ADMI), Lewisburg, Pennsylvania, USA
| | - J Smith
- Geisinger Health System, Autism & Developmental Medicine Institute (ADMI), Lewisburg, Pennsylvania, USA
| | - D Beiler
- Geisinger Health System, Autism & Developmental Medicine Institute (ADMI), Lewisburg, Pennsylvania, USA
| | - L K Walsh
- Geisinger Health System, Autism & Developmental Medicine Institute (ADMI), Lewisburg, Pennsylvania, USA
| | - K Holdren
- Geisinger Health System, Autism & Developmental Medicine Institute (ADMI), Lewisburg, Pennsylvania, USA
| | - Vanessa Troiani
- Geisinger Health System, Autism & Developmental Medicine Institute (ADMI), Lewisburg, Pennsylvania, USA.,Department of Imaging Science and Innovation, Center for Health Research, Geisinger, Danville, Pennsylvania, USA.,Neuroscience Institute, Geisinger, Danville, Pennsylvania, USA.,Department of Basic Sciences, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania, USA
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162
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A family-based study of genetic and epigenetic effects across multiple neurocognitive, motor, social-cognitive and social-behavioral functions. Behav Brain Funct 2022; 18:14. [PMID: 36457050 PMCID: PMC9714039 DOI: 10.1186/s12993-022-00198-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 09/09/2022] [Indexed: 12/03/2022] Open
Abstract
Many psychiatric and neurodevelopmental disorders are known to be heritable, but studies trying to elucidate the genetic architecture of such traits often lag behind studies of somatic traits and diseases. The reasons as to why relatively few genome-wide significant associations have been reported for such traits have to do with the sample sizes needed for the detection of small effects, the difficulty in defining and characterizing the phenotypes, partially due to overlaps in affected underlying domains (which is especially true for cognitive phenotypes), and the complex genetic architectures of the phenotypes, which are not wholly captured in traditional case-control GWAS designs. We aimed to tackle the last two issues by performing GWASs of eight quantitative neurocognitive, motor, social-cognitive and social-behavioral traits, which may be considered endophenotypes for a variety of psychiatric and neurodevelopmental conditions, and for which we employed models capturing both general genetic association and parent-of-origin effects, in a family-based sample comprising 402 children and their parents (mostly family trios). We identified 48 genome-wide significant associations across several traits, of which 3 also survived our strict study-wide quality criteria. We additionally performed a functional annotation of implicated genes, as most of the 48 associations were with variants within protein-coding genes. In total, our study highlighted associations with five genes (TGM3, CACNB4, ANKS1B, CSMD1 and SYNE1) associated with measures of working memory, processing speed and social behavior. Our results thus identify novel associations, including previously unreported parent-of-origin associations with relevant genes, and our top results illustrate new potential gene → endophenotype → disorder pathways.
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163
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Zanga A, Ozkirimli E, Stella F. A Survey on Causal Discovery: Theory and Practice. Int J Approx Reason 2022. [DOI: 10.1016/j.ijar.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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164
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Plomin R. The next 10 years of behavioural genomic research. JCPP ADVANCES 2022; 2:e12112. [PMID: 37431418 PMCID: PMC10242940 DOI: 10.1002/jcv2.12112] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 09/23/2022] [Indexed: 12/10/2023] Open
Abstract
Background The explosion caused by the fusion of quantitative genetics and molecular genetics will transform behavioural genetic research in child and adolescent psychology and psychiatry. Methods Although the fallout has not yet settled, the goal of this paper is to predict the next 10 years of research in what could be called behavioural genomics. Results I focus on three research directions: the genetic architecture of psychopathology, causal modelling of gene-environment interplay, and the use of DNA as an early warning system. Conclusion Eventually, whole-genome sequencing will be available for all newborns, which means that behavioural genomics could potentially be applied ubiquitously in research and clinical practice.
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Affiliation(s)
- Robert Plomin
- King's College LondonInstitute of PsychiatryPsychology and NeuroscienceLondonUK
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165
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Granerud G, Elvsåshagen T, Arntzen E, Juhasz K, Emilsen NM, Sønderby IE, Nærland T, Malt EA. A family study of symbolic learning and synaptic plasticity in autism spectrum disorder. Front Hum Neurosci 2022; 16:950922. [PMID: 36504626 PMCID: PMC9730282 DOI: 10.3389/fnhum.2022.950922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 05/23/2022] [Indexed: 11/25/2022] Open
Abstract
The current study presents a male with autism spectrum disorder (ASD) and a 3q29 deletion, and three healthy first-degree relatives. Our magnetic resonance imaging (MRI) dataset included a healthy control subset. We describe a comprehensive multimodal approach, including equivalence class formation, neurocognitive testing, MRI, and electroencephalography (EEG)-based cortical plasticity, which can provide new insights into socio-communicative and learning impairments and neural underpinnings in ASD. On neurocognitive testing, the proband showed reduced processing speed, attending behavior, and executive function. He required more training trials in equivalence class training compared with family members and exhibited impaired priming of words compared with priming with images. The proband had smaller intracranial volume and surface area and a larger visual evoked potential (VEP) C1 amplitude than family members and intact long-term potentiation (LTP)-like visual cortex plasticity. Together, these results suggest that 3q29 deletion-related ASD is associated with impaired problem-solving strategies in complex socio-communicative and learning tasks, smaller intracranial and surface area, altered VEP amplitude, and normal LTP-like visual cortex plasticity. Further studies are needed to clarify whether this multimodal approach can be used to identify ASD subgroups with distinct neurobiological alterations and to uncover mechanisms underlying socio-communicative and learning impairments. Lay Summary: We studied learning, brain activity, and brain structure in a person with autism and a genetic aberration, and his close relatives. Compared with relatives, the person with autism required more training for learning, and visual learning was better than verbal learning. This person had some changes in the activity of the visual cortex, and the size and the surface area of the brain were reduced. Knowledge about learning and brain mechanisms is valuable for the development of training programs for individuals with autism.
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Affiliation(s)
- Guro Granerud
- Department of Adult Habilitation, Akershus University Hospital, Oslo, Norway,Department of Behavioral Science, Oslo Metropolitan University, Oslo, Norway,KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway,*Correspondence: Guro Granerud
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research, Oslo University Hospital, Oslo, Norway,Department of Neurology, Oslo University Hospital, Oslo, Norway,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Erik Arntzen
- Department of Behavioral Science, Oslo Metropolitan University, Oslo, Norway
| | - Katalin Juhasz
- Department of Adult Habilitation, Akershus University Hospital, Oslo, Norway
| | - Nina Merete Emilsen
- Department of Adult Habilitation, Akershus University Hospital, Oslo, Norway
| | - Ida Elken Sønderby
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway,Norwegian Centre for Mental Disorders Research, Oslo University Hospital, Oslo, Norway,Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Terje Nærland
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway,NevSom Department of Rare Disorders and Disabilities, Oslo University Hospital, Oslo, Norway
| | - Eva Albertsen Malt
- Department of Adult Habilitation, Akershus University Hospital, Oslo, Norway,Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
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166
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Novel non-stimulants rescue hyperactive phenotype in an adgrl3.1 mutant zebrafish model of ADHD. Neuropsychopharmacology 2022:10.1038/s41386-022-01505-z. [PMID: 36400921 PMCID: PMC10267219 DOI: 10.1038/s41386-022-01505-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/02/2022] [Accepted: 11/04/2022] [Indexed: 11/19/2022]
Abstract
ADHD is a highly prevalent neurodevelopmental disorder. The first-line therapeutic for ADHD, methylphenidate, can cause serious side effects including weight loss, insomnia, and hypertension. Therefore, the development of non-stimulant-based therapeutics has been prioritized. However, many of these also cause other effects, most notably somnolence. Here, we have used a uniquely powerful genetic model and unbiased drug screen to identify novel ADHD non-stimulant therapeutics. We first found that adgrl3.1 null (adgrl3.1-/-) zebrafish larvae showed a robust hyperactive phenotype. Although the hyperactivity was rescued by three ADHD non-stimulant therapeutics, all interfered significantly with sleep. Second, we used wild-type zebrafish larvae to characterize a simple behavioral phenotype generated by atomoxetine and screened the 1200 compound Prestwick Chemical Library® for a matching behavioral profile resulting in 67 hits. These hits were re-assayed in the adgrl3.1-/-. Using the previously identified non-stimulants as a positive control, we identified four compounds that matched the effect of atomoxetine: aceclofenac, amlodipine, doxazosin, and moxonidine. We additionally demonstrated cognitive effects of moxonidine in mice using a T-maze spontaneous alternation task. Moxonidine, has high affinity for imidazoline 1 receptors. We, therefore, assayed a pure imidazoline 1 agonist, LNP599, which generated an effect closely matching other non-stimulant ADHD therapeutics suggesting a role for this receptor system in ADHD. In summary, we introduce a genetic model of ADHD in zebrafish and identify five putative therapeutics. The findings offer a novel tool for understanding the neural circuits of ADHD, suggest a novel mechanism for its etiology, and identify novel therapeutics.
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167
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Machlitt-Northen S, Keers R, Munroe PB, Howard DM, Pluess M. Polygenic risk scores for schizophrenia and major depression are associated with socio-economic indicators of adversity in two British community samples. Transl Psychiatry 2022; 12:477. [PMID: 36376270 PMCID: PMC9663827 DOI: 10.1038/s41398-022-02247-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 10/26/2022] [Accepted: 10/31/2022] [Indexed: 11/16/2022] Open
Abstract
Schizophrenia (SCZ) and major depressive disorder (MDD) are complex psychiatric disorders which contribute substantially to the global burden of disease. Both psychopathologies are heritable with some genetic overlap between them. Importantly, SCZ and MDD have also been found to be associated with environmental risk factors. However, rather than being independent of genetic influences, exposure to environmental risk factors may be under genetic control, known as gene-environment correlation (rGE). In this study we investigated rGE in relation to polygenic risk scores for SCZ and MDD in adults, derived from large genome-wide association studies, across two different British community samples: Understanding Society (USoc) and the National Child Development Study (NCDS). We tested whether established environmental risk factors for SCZ and/or MDD are correlated with polygenic scores in adults and whether these associations differ between the two disorders and cohorts. Findings partially overlapped between disorders and cohorts. In NCDS, we identified a significant correlation between the genetic risk for MDD and an indicator of low socio-economic status, but no significant findings emerged for SCZ. In USoc, we replicated associations between indicators of low socio-economic status and the genetic propensity for MDD. In addition, we identified associations between the genetic susceptibility for SCZ and being single or divorced. Results across both studies provide further evidence that the genetic risk for SCZ and MDD were associated with common environmental risk factors, specifically MDD's association with lower socio-economic status.
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Affiliation(s)
- Sandra Machlitt-Northen
- grid.4868.20000 0001 2171 1133Department of Biological and Experimental Psychology, Queen Mary University of London, London, UK
| | - Robert Keers
- grid.4868.20000 0001 2171 1133Department of Biological and Experimental Psychology, Queen Mary University of London, London, UK
| | - Patricia B. Munroe
- grid.4868.20000 0001 2171 1133Department of Clinical Pharmacology, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK
| | - David M. Howard
- grid.13097.3c0000 0001 2322 6764Social, Genetic and Developmental Psychiatry Centre, King’s College London, London, UK ,grid.4305.20000 0004 1936 7988Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Michael Pluess
- Department of Biological and Experimental Psychology, Queen Mary University of London, London, UK.
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168
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Ma H, Qiu R, Zhang W, Chen X, Zhang L, Wang M. Association of PPP1R1B polymorphisms with working memory in healthy Han Chinese adults. Front Neurosci 2022; 16:989046. [PMID: 36440265 PMCID: PMC9685989 DOI: 10.3389/fnins.2022.989046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/10/2022] [Indexed: 11/11/2022] Open
Abstract
Aims The dopamine- and cAMP-regulated phosphoprotein (DARPP-32), which is encoded by the PPP1R1B gene, plays a converging regulatory role in the central nervous system by mediating the actions of dopamine, serotonin, and glutamate. Previous studies have demonstrated that variations in genes related to the dopamine system influence working memory. The present study thus investigated whether polymorphisms in PPP1R1B gene were associated with working memory. Materials and methods A sample of 124 healthy Han Chinese were genotyped for three single nucleotide polymorphisms of PPP1R1B gene, namely rs12601930C/T, rs879606A/G, and rs3764352A/G, using polymerase chain reaction and restriction fragment length polymorphism analysis. Working memory performance was assessed using the Wisconsin Card Sorting Test (WCST). Results Significant differences were observed in the Total Correct (TC), Total Errors (TE), and Conceptual Level Responses (CLR) scores of the WCST among the three rs12601930C/T genotypes (p = 0.044, 0.044, and 0.047, respectively); in TC, TE, Non-Perseverative Errors (NPE), and CLR scores between participants with the CC and (CT + TT) rs12601930C/T polymorphism genotypes (p = 0.032, 0.032, 0.019, and 0.029, respectively); in TC, TE, Perseverative Errors (PE), NPE, and CLR scores between participants with the (CT + CC) and TT rs12601930C/T polymorphism genotypes (p = 0.001, 0.001, 0.011, 0.004, and 0.001, respectively); and in NPE and CLR scores between participants with the GG and (AG + AA) genotypes of the rs3764352A/G polymorphism (p = 0.011 and 0.010). Furthermore, for males only, there were significant differences in TC, TE, PE, NPE, and CLR scores among the rs12601930C/T genotypes (p = 0.020, 0.020, 0.037, 0.029, and 0.014, respectively) and NPE and CLR scores among the rs3764352 genotypes (p = 0.045 and 0.042). Conclusion PPP1R1B gene polymorphisms rs12601930C/T and rs3764352A/G might be associated with working memory assessed by the WCST in healthy Chinese adults, especially among males.
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Affiliation(s)
- Hui Ma
- Hainan Provincial Institute of Mental Health, Hainan Provincial Anning Hospital, Haikou, Hainan, China
| | - Riyang Qiu
- Department of Precision Therapy, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
- Department of Precision Therapy, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Wenya Zhang
- Department of Precision Therapy, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
- Department of Precision Therapy, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Xiaohong Chen
- Department of Precision Therapy, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
- Department of Precision Therapy, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Liguo Zhang
- Department of Psychiatry, The Third Hospital of Heilongjiang Province, Bei’an, Heilongjiang, China
| | - Man Wang
- Department of Precision Therapy, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
- Department of Precision Therapy, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
- *Correspondence: Man Wang,
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169
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Wei Y, de Lange SC, Savage JE, Tissink E, Qi T, Repple J, Gruber M, Kircher T, Dannlowski U, Posthuma D, van den Heuvel MP. Associated Genetics and Connectomic Circuitry in Schizophrenia and Bipolar Disorder. Biol Psychiatry 2022:S0006-3223(22)01719-X. [PMID: 36803976 DOI: 10.1016/j.biopsych.2022.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 10/15/2022] [Accepted: 11/02/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Schizophrenia (SCZ) and bipolar disorder (BD) are severe psychiatric conditions that can involve symptoms of psychosis and cognitive dysfunction. The 2 conditions share symptomatology and genetic etiology and are regularly hypothesized to share underlying neuropathology. Here, we examined how genetic liability to SCZ and BD shapes normative variations in brain connectivity. METHODS We examined the effect of the combined genetic liability for SCZ and BD on brain connectivity from two perspectives. First, we examined the association between polygenic scores for SCZ and BD for 19,778 healthy subjects from the UK Biobank and individual variation in brain structural connectivity reconstructed by means of diffusion weighted imaging data. Second, we conducted genome-wide association studies using genotypic and imaging data from the UK Biobank, taking SCZ-/BD-involved brain circuits as phenotypes of interest. RESULTS Our findings showed brain circuits of superior parietal and posterior cingulate regions to be associated with polygenic liability for SCZ and BD, circuitry that overlaps with brain networks involved in disease conditions (r = 0.239, p < .001). Genome-wide association study analysis showed 9 significant genomic loci associated with SCZ-involved circuits and 14 loci associated with BD-involved circuits. Genes related to SCZ-/BD-involved circuits were significantly enriched in gene sets previously reported in genome-wide association studies for SCZ and BD. CONCLUSIONS Our findings suggest that polygenic liability of SCZ and BD is associated with normative individual variation in brain circuitry.
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Affiliation(s)
- Yongbin Wei
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China; Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Siemon C de Lange
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands
| | - Jeanne E Savage
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Elleke Tissink
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ting Qi
- Department of Neurology, School of Medicine, University of California San Francisco, San Francisco, California
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Marius Gruber
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Child and Adolescent Psychiatry and Psychology, Section Complex Trait Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
| | - Martijn P van den Heuvel
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Child and Adolescent Psychiatry and Psychology, Section Complex Trait Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam UMC, Amsterdam, the Netherlands.
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170
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Taraszka K, Zaitlen N, Eskin E. Leveraging pleiotropy for joint analysis of genome-wide association studies with per trait interpretations. PLoS Genet 2022; 18:e1010447. [PMID: 36342933 PMCID: PMC9671458 DOI: 10.1371/journal.pgen.1010447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 11/17/2022] [Accepted: 09/27/2022] [Indexed: 11/09/2022] Open
Abstract
We introduce pleiotropic association test (PAT) for joint analysis of multiple traits using genome-wide association study (GWAS) summary statistics. The method utilizes the decomposition of phenotypic covariation into genetic and environmental components to create a likelihood ratio test statistic for each genetic variant. Though PAT does not directly interpret which trait(s) drive the association, a per trait interpretation of the omnibus p-value is provided through an extension to the meta-analysis framework, m-values. In simulations, we show PAT controls the false positive rate, increases statistical power, and is robust to model misspecifications of genetic effect. Additionally, simulations comparing PAT to three multi-trait methods, HIPO, MTAG, and ASSET, show PAT identified 15.3% more omnibus associations over the next best method. When these associations were interpreted on a per trait level using m-values, PAT had 37.5% more true per trait interpretations with a 0.92% false positive assignment rate. When analyzing four traits from the UK Biobank, PAT discovered 22,095 novel variants. Through the m-values interpretation framework, the number of per trait associations for two traits were almost tripled and were nearly doubled for another trait relative to the original single trait GWAS.
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Affiliation(s)
- Kodi Taraszka
- Department of Computer Science, University of California, Los Angeles, California, United States of America
| | - Noah Zaitlen
- Department of Neurology, University of California, Los Angeles, California, United States of America
- Department of Computational Medicine, University of California, Los Angeles, California, United States of America
| | - Eleazar Eskin
- Department of Computer Science, University of California, Los Angeles, California, United States of America
- Department of Computational Medicine, University of California, Los Angeles, California, United States of America
- Department of Human Genetics, University of California, Los Angeles, California, United States of America
- * E-mail:
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171
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Hindley G, Frei O, Shadrin AA, Cheng W, O’Connell KS, Icick R, Parker N, Bahrami S, Karadag N, Roelfs D, Holen B, Lin A, Fan CC, Djurovic S, Dale AM, Smeland OB, Andreassen OA. Charting the Landscape of Genetic Overlap Between Mental Disorders and Related Traits Beyond Genetic Correlation. Am J Psychiatry 2022; 179:833-843. [PMID: 36069018 PMCID: PMC9633354 DOI: 10.1176/appi.ajp.21101051] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Mental disorders are heritable and polygenic, and genome-wide genetic correlations (rg) have indicated widespread shared genetic risk across multiple disorders and related traits, mirroring their overlapping clinical characteristics. However, rg may underestimate the shared genetic underpinnings of mental disorders and related traits because it does not differentiate mixtures of concordant and discordant genetic effects from an absence of genetic overlap. Using novel statistical genetics tools, the authors aimed to evaluate the genetic overlap between mental disorders and related traits when accounting for mixed effect directions. METHODS The authors applied the bivariate causal mixture model (MiXeR) to summary statistics for four mental disorders, four related mental traits, and height from genome-wide association studies (Ns ranged from 53,293 to 766,345). MiXeR estimated the number of "causal" variants for a given trait ("polygenicity"), the number of variants shared between traits, and the genetic correlation of shared variants (rgs). Local rg was investigated using LAVA. RESULTS Among mental disorders, ADHD was the least polygenic (5.6K "causal" variants), followed by bipolar disorder (8.6K), schizophrenia (9.6K), and depression (14.5K). Most variants were shared across mental disorders (4.4K-9.3K) and between mental disorders and related traits (5.2K-12.8K), but with disorder-specific variations in rg and rgs. Overlap with height was small (0.7K-1.1K). MiXeR estimates correlated with LAVA local rg (r=0.88, p<0.001). CONCLUSIONS There is extensive genetic overlap across mental disorders and related traits, with mixed effect directions and few disorder-specific variants. This suggests that genetic risk for mental disorders is predominantly differentiated by divergent effect distributions of pleiotropic genetic variants rather than disorder-specific variants. This represents a conceptual advance in our understanding of the landscape of shared genetic architecture across mental disorders, which may inform genetic discovery, biological characterization, nosology, and genetic prediction.
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Affiliation(s)
- Guy Hindley
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
- Psychosis Studies, Institute of Psychiatry, Psychology and
Neurosciences, King’s College London, 16 De Crespigny Park, London SE5 8AB,
United Kingdom
| | - Oleksandr Frei
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
- Center for Bioinformatics, Department of Informatics,
University of Oslo, PO box 1080, Blindern, 0316 Oslo, Norway
| | - Alexey A. Shadrin
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental disorders,
University of Oslo, Oslo, Norway
| | - Weiqiu Cheng
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
| | - Kevin S. O’Connell
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
| | - Romain Icick
- INSERM UMR-S1144, Paris University, F-75006, France
| | - Nadine Parker
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
| | - Shahram Bahrami
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
| | - Naz Karadag
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
| | - Daniel Roelfs
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
| | - Børge Holen
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
| | - Aihua Lin
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
| | - Chun C Fan
- Department of Cognitive Science, University of California,
San Diego, La Jolla, CA, USA
- Multimodal Imaging Laboratory, University of California San
Diego, La Jolla, CA 92093, USA
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital,
Oslo, Norway
- NORMENT Centre, Department of Clinical Science, University
of Bergen, Bergen, Norway
- KG Jebsen Centre for Neurodevelopmental disorders,
University of Oslo, Oslo, Norway
| | - Anders M. Dale
- Multimodal Imaging Laboratory, University of California San
Diego, La Jolla, CA 92093, USA
- Department of Psychiatry, University of California, San
Diego, La Jolla, CA, USA
- Department of Neurosciences, University of California San
Diego, La Jolla, CA 92093, United States of America
- Department of Radiology, University of California, San
Diego, La Jolla, CA 92093, United States of America
| | - Olav B. Smeland
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
| | - Ole A. Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University
of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407
Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental disorders,
University of Oslo, Oslo, Norway
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172
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Fischer NC, Friedman V, Martinez-Reyes MA, Hao H, Chowdhury TA, Starr DA, Quinn CC. The ANC-1 (Nesprin-1/2) organelle-anchoring protein functions through mitochondria to polarize axon growth in response to SLT-1. PLoS Genet 2022; 18:e1010521. [PMID: 36409768 PMCID: PMC9721489 DOI: 10.1371/journal.pgen.1010521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 12/05/2022] [Accepted: 11/11/2022] [Indexed: 11/22/2022] Open
Abstract
A family of giant KASH proteins, including C. elegans ANC-1 and mammalian Nesprin-1 and -2, are involved in organelle anchoring and are associated with multiple neurodevelopmental disorders including autism, bipolar disorder, and schizophrenia. However, little is known about how these proteins function in neurons. Moreover, the role of organelle anchoring in axon development is poorly understood. Here, we report that ANC-1 functions with the SLT-1 extracellular guidance cue to polarize ALM axon growth. This role for ANC-1 is specific to its longer ANC-1A and ANC-1C isoforms, suggesting that it is mechanistically distinct from previously described roles for ANC-1. We find that ANC-1 is required for the localization of a cluster of mitochondria to the base of the proximal axon. Furthermore, genetic and pharmacological studies indicate that ANC-1 functions with mitochondria to promote polarization of ALM axon growth. These observations reveal a mechanism whereby ANC-1 functions through mitochondria to polarize axon growth in response to SLT-1.
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Affiliation(s)
- Nathan C. Fischer
- Department of Biological Sciences, University of Wisconsin-Milwaukee; Milwaukee, Wisconsin, United States of America
| | - Vladislav Friedman
- Department of Biological Sciences, University of Wisconsin-Milwaukee; Milwaukee, Wisconsin, United States of America
| | - Miguel A. Martinez-Reyes
- Department of Biological Sciences, University of Wisconsin-Milwaukee; Milwaukee, Wisconsin, United States of America
| | - Hongyan Hao
- Department of Molecular and Cellular Biology, University of California, Davis, California, United States of America
| | - Tamjid A. Chowdhury
- Department of Biological Sciences, University of Wisconsin-Milwaukee; Milwaukee, Wisconsin, United States of America
| | - Daniel A. Starr
- Department of Molecular and Cellular Biology, University of California, Davis, California, United States of America
| | - Christopher C. Quinn
- Department of Biological Sciences, University of Wisconsin-Milwaukee; Milwaukee, Wisconsin, United States of America
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173
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Identifying pleiotropic genes for major psychiatric disorders with GWAS summary statistics using multivariate adaptive association tests. J Psychiatr Res 2022; 155:471-482. [PMID: 36183601 DOI: 10.1016/j.jpsychires.2022.09.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/17/2022] [Accepted: 09/16/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Genome wide association studies (GWAS) have discovered a few of single nucleotide polymorphisms (SNPs) related to major psychiatric disorders. However, it is not completely clear which genes play a pleiotropic role in multiple disorders. The study aimed to identify the pleiotropic genes across five psychiatric disorders using multivariate adaptive association tests. METHODS Summary statistics of five psychiatric disorders were downloaded from Psychiatric Genomics Consortium. We applied linkage disequilibrium score regression (LDSC) to estimate genetic correlation and conducted tissue and cell type specificity analyses based on Multi-marker Analysis of GenoMic Annotation (MAGMA). Then, we identified the pleiotropic genes using MTaSPUsSet and aSPUs tests. We ultimately performed the functional analysis for pleiotropic genes. RESULTS We confirmed the significant genetic correlation and brain tissue and neuron specificity among five disorders. 100 pleiotropic genes were detected to be significantly associated with five psychiatric disorders, of which 55 were novel genes. These genes were functionally enriched in neuron differentiation and synaptic transmission. LIMITATIONS The effect direction of pleiotropic genes couldn't be distinguished due to without individual-level data. CONCLUSION We identified pleiotropic genes using multivariate adaptive association tests and explored their biological function. The findings may provide novel insight into the development and implementation of prevention and treatment as well as targeted drug discovery in practice.
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174
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Jiao S, Cao T, Cai H. Peripheral biomarkers of treatment-resistant schizophrenia: Genetic, inflammation and stress perspectives. Front Pharmacol 2022; 13:1005702. [PMID: 36313375 PMCID: PMC9597880 DOI: 10.3389/fphar.2022.1005702] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/26/2022] [Indexed: 11/16/2022] Open
Abstract
Treatment-resistant schizophrenia (TRS) often results in severe disability and functional impairment. Currently, the diagnosis of TRS is largely exclusionary and emphasizes the improvement of symptoms that may not be detected early and treated according to TRS guideline. As the gold standard, clozapine is the most prescribed selection for TRS. Therefore, how to predict TRS in advance is critical for forming subsequent treatment strategy especially clozapine is used during the early stage of TRS. Although mounting studies have identified certain clinical factors and neuroimaging characteristics associated with treatment response in schizophrenia, the predictors for TRS remain to be explored. Biomarkers, particularly for peripheral biomarkers, show great potential in predicting TRS in view of their predictive validity, noninvasiveness, ease of testing and low cost that would enable their widespread use. Recent evidence supports that the pathogenesis of TRS may be involved in abnormal neurotransmitter systems, inflammation and stress. Due to the heterogeneity of TRS and the lack of consensus in diagnostic criteria, it is difficult to compare extensive results among different studies. Based on the reported neurobiological mechanisms that may be associated with TRS, this paper narratively reviews the updates of peripheral biomarkers of TRS, from genetic and other related perspectives. Although current evidence regarding biomarkers in TRS remains fragmentary, when taken together, it can help to better understand the neurobiological interface of clinical phenotypes and psychiatric symptoms, which will enable individualized prediction and therapy for TRS in the long run.
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Affiliation(s)
- Shimeng Jiao
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China
| | - Ting Cao
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China
| | - Hualin Cai
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China
- *Correspondence: Hualin Cai,
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175
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Guardiola-Ripoll M, Almodóvar-Payá C, Lubeiro A, Sotero A, Salvador R, Fuentes-Claramonte P, Salgado-Pineda P, Papiol S, Ortiz-Gil J, Gomar JJ, Guerrero-Pedraza A, Sarró S, Maristany T, Molina V, Pomarol-Clotet E, Fatjó-Vilas M. A functional neuroimaging association study on the interplay between two schizophrenia genome-wide associated genes (CACNA1C and ZNF804A). Eur Arch Psychiatry Clin Neurosci 2022; 272:1229-1239. [PMID: 35796825 DOI: 10.1007/s00406-022-01447-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 06/07/2022] [Indexed: 12/23/2022]
Abstract
The CACNA1C and the ZNF804A genes are among the most relevant schizophrenia GWAS findings. Recent evidence shows that the interaction of these genes with the schizophrenia diagnosis modulates brain functional response to a verbal fluency task. To better understand how these genes might influence the risk for schizophrenia, we aimed to study the interplay between CACNA1C and ZNF804A on working memory brain functional correlates. The analyses included functional and behavioural N-back task data (obtained from an fMRI protocol) and CACNA1C-rs1006737 and ZNF804A-rs1344706 genotypes for 78 healthy subjects and 78 patients with schizophrenia (matched for age, sex and premorbid IQ). We tested the effects of the epistasis between these genes as well as of the three-way interaction (CACNA1C × ZNAF804A × diagnosis) on working memory-associated activity (N-back: 2-back vs 1-back). We detected a significant CACNA1C × ZNAF804A interaction on working memory functional response in regions comprising the ventral caudate medially and within the left hemisphere, the superior and inferior orbitofrontal gyrus, the superior temporal pole and the ventral-anterior insula. The individuals with the GWAS-identified risk genotypes (CACNA1C-AA/AG and ZNF804A-AA) displayed a reduced working memory modulation response. This genotypic combination was also associated with opposite brain activity patterns between patients and controls. While further research will help to comprehend the neurobiological mechanisms of this interaction, our data highlight the role of the epistasis between CACNA1C and ZNF804A in the functional mechanisms underlying the pathophysiology of schizophrenia.
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Affiliation(s)
- Maria Guardiola-Ripoll
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain
| | - Carmen Almodóvar-Payá
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain
| | - Alba Lubeiro
- Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain
| | - Alejandro Sotero
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain
| | - Paola Fuentes-Claramonte
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain
| | - Pilar Salgado-Pineda
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain
| | - Sergi Papiol
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry, University Hospital, Ludwig Maximilian University, Munich, Germany
| | - Jordi Ortiz-Gil
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain
- Hospital General de Granollers, Barcelona, Spain
| | - Jesús J Gomar
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- The Litwin-Zucker Alzheimer's Research Center, Manhasset, NY, USA
| | | | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain
| | - Teresa Maristany
- Diagnostic Imaging Department, Hospital Sant Joan de Déu Research Foundation, Barcelona, Spain
| | - Vicente Molina
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain
- Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain
- Neurosciences Institute of Castilla y León (INCYL), University of Salamanca, Salamanca, Spain
- Psychiatry Service, University Hospital of Valladolid, Valladolid, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain.
| | - Mar Fatjó-Vilas
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.
- CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain.
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Universitat de Barcelona, Barcelona, Spain.
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176
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Brenner AM, Claudino FCDA, Burin LM, Scheibe VM, Padilha BL, de Souza GR, Duarte JA, da Rocha NS. Structural magnetic resonance imaging findings in severe mental disorders adult inpatients: A systematic review. Psychiatry Res Neuroimaging 2022; 326:111529. [PMID: 36058133 DOI: 10.1016/j.pscychresns.2022.111529] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 07/13/2022] [Accepted: 08/04/2022] [Indexed: 11/21/2022]
Abstract
In severe presentations, major depressive disorder (MDD), schizophrenia (SZ), and bipolar disorder (BD) can be categorized as severe mental disorders (SMD). Our aim is to evaluate structural magnetic resonance imaging and computed tomography findings in adult inpatients diagnosed with SMD and hospitalized at psychiatric wards. PubMed, Embase, PsycInfo, Cochrane Library, and Web of Science were searched up to May 27th, 2021. Articles were screened and extracted by two independent groups, with third-party raters for discrepancies. Quality of evidence was evaluated with the Newcastle-Ottawa Scale. Synthesis was made by qualitative analysis. This study was registered on PROSPERO (CRD42020171718) and followed the PRISMA protocol. 35 studies were included, of which none was considered to likely introduce bias in our analyses. Overlapping areas in MDD, SZ, and Affective Psychosis (AP) patients, that include BD and MDD with psychotic features, are presented in the inferior temporal and cingulate gyri. MDD and SZ had commonly affected areas in the inferior and middle frontal gyri, transverse temporal gyrus, insula, and hippocampus. SZ and AP had commonly affected areas in the temporal pole. Overlapping affected areas among SMD patients are reported, but the heterogeneity of studies' designs and findings are still a limitation for clinically relevant guidelines.
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Affiliation(s)
- Augusto Mädke Brenner
- Center for Clinical Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; School of Medicine, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Post-graduation Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
| | - Felipe Cesar de Almeida Claudino
- Center for Clinical Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Post-graduation Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Luísa Monteiro Burin
- Center for Clinical Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Post-graduation Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Victória Machado Scheibe
- Center for Clinical Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Post-graduation Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; School of Medicine, Universidade Luterana do Brasil, Canoas, Rio Grande do Sul, Brazil
| | - Barbara Larissa Padilha
- Center for Clinical Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Post-graduation Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Gianfranco Rizzotto de Souza
- Center for Clinical Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; School of Medicine, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Post-graduation Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Juliana Avila Duarte
- Center for Clinical Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Post-graduation Program in Medical Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Neusa Sica da Rocha
- Center for Clinical Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Post-graduation Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
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177
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Vouga Ribeiro N, Tavares V, Bramon E, Toulopoulou T, Valli I, Shergill S, Murray R, Prata D. Effects of psychosis-associated genetic markers on brain volumetry: a systematic review of replicated findings and an independent validation. Psychol Med 2022; 52:1-16. [PMID: 36168994 PMCID: PMC9811278 DOI: 10.1017/s0033291722002896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 08/13/2022] [Accepted: 08/24/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Given psychotic illnesses' high heritability and associations with brain structure, numerous neuroimaging-genetics findings have been reported in the last two decades. However, few findings have been replicated. In the present independent sample we aimed to replicate any psychosis-implicated SNPs (single nucleotide polymorphisms), which had previously shown at least two main effects on brain volume. METHODS A systematic review for SNPs showing a replicated effect on brain volume yielded 25 studies implicating seven SNPs in five genes. Their effect was then tested in 113 subjects with either schizophrenia, bipolar disorder, 'at risk mental state' or healthy state, for whole-brain and region-of-interest (ROI) associations with grey and white matter volume changes, using voxel-based morphometry. RESULTS We found FWER-corrected (Family-wise error rate) (i.e. statistically significant) associations of: (1) CACNA1C-rs769087-A with larger bilateral hippocampus and thalamus white matter, across the whole brain; and (2) CACNA1C-rs769087-A with larger superior frontal gyrus, as ROI. Higher replication concordance with existing literature was found, in decreasing order, for: (1) CACNA1C-rs769087-A, with larger dorsolateral-prefrontal/superior frontal gyrus and hippocampi (both with anatomical and directional concordance); (2) ZNF804A-rs11681373-A, with smaller angular gyrus grey matter and rectus gyri white matter (both with anatomical and directional concordance); and (3) BDNF-rs6265-T with superior frontal and middle cingulate gyri volume change (with anatomical and allelic concordance). CONCLUSIONS Most literature findings were not herein replicated. Nevertheless, high degree/likelihood of replication was found for two genome-wide association studies- and one candidate-implicated SNPs, supporting their involvement in psychosis and brain structure.
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Affiliation(s)
- Nuno Vouga Ribeiro
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Vânia Tavares
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Elvira Bramon
- Division of Psychiatry, University College London, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Timothea Toulopoulou
- Department of Psychology & National Magnetic Resonance Research Center (UMRAM), Aysel Sabuncu Brain Research Centre (ASBAM), Bilkent University, Ankara, Turkey
| | - Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Sukhi Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
| | - Robin Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
| | - Diana Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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178
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Integrative Functional Genomic Analysis in Multiplex Autism Families from Kazakhstan. DISEASE MARKERS 2022; 2022:1509994. [PMID: 36199823 PMCID: PMC9529466 DOI: 10.1155/2022/1509994] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/21/2022] [Accepted: 09/06/2022] [Indexed: 12/14/2022]
Abstract
The study of extended pedigrees containing autism spectrum disorder- (ASD-) related broader autism phenotypes (BAP) offers a promising approach to the search for ASD candidate variants. Here, a total of 650,000 genetic markers were tested in four Kazakhstani multiplex families with ASD and BAP to obtain data on de novo mutations (DNMs), common, and rare inherited variants that may contribute to the genetic risk for developing autistic traits. The variants were analyzed in the context of gene networks and pathways. Several previously well-described enriched pathways were identified, including ion channel activity, regulation of synaptic function, and membrane depolarization. Perhaps these pathways are crucial not only for the development of ASD but also for ВАР. The results also point to several additional biological pathways (circadian entrainment, NCAM and BTN family interactions, and interaction between L1 and Ankyrins) and hub genes (CFTR, NOD2, PPP2R2B, and TTR). The obtained results suggest that further exploration of PPI networks combining ASD and BAP risk genes can be used to identify novel or overlooked ASD molecular mechanisms.
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179
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Harrison PJ, Husain SM, Lee H, Los Angeles AD, Colbourne L, Mould A, Hall NAL, Haerty W, Tunbridge EM. CACNA1C (Ca V1.2) and other L-type calcium channels in the pathophysiology and treatment of psychiatric disorders: Advances from functional genomics and pharmacoepidemiology. Neuropharmacology 2022; 220:109262. [PMID: 36154842 DOI: 10.1016/j.neuropharm.2022.109262] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/09/2022] [Accepted: 09/17/2022] [Indexed: 11/17/2022]
Abstract
A role for voltage-gated calcium channels (VGCCs) in psychiatric disorders has long been postulated as part of a broader involvement of intracellular calcium signalling. However, the data were inconclusive and hard to interpret. We review three areas of research that have markedly advanced the field. First, there is now robust genomic evidence that common variants in VGCC subunit genes, notably CACNA1C which encodes the L-type calcium channel (LTCC) CaV1.2 subunit, are trans-diagnostically associated with psychiatric disorders including schizophrenia and bipolar disorder. Rare variants in these genes also contribute to the risk. Second, pharmacoepidemiological evidence supports the possibility that calcium channel blockers, which target LTCCs, might have beneficial effects on the onset or course of these disorders. This is especially true for calcium channel blockers that are brain penetrant. Third, long-range sequencing is revealing the repertoire of full-length LTCC transcript isoforms. Many novel and abundant CACNA1C isoforms have been identified in human and mouse brain, including some which are enriched compared to heart or aorta, and predicted to encode channels with differing functional and pharmacological properties. These isoforms may contribute to the molecular mechanisms of genetic association to psychiatric disorders. They may also enable development of therapeutic agents that can preferentially target brain LTCC isoforms and be of potential value for psychiatric indications.
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Affiliation(s)
- Paul J Harrison
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK.
| | - Syed M Husain
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Hami Lee
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
| | | | - Lucy Colbourne
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Arne Mould
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Nicola A L Hall
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Wilfried Haerty
- Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, UK; School of Biological Sciences, University of East Anglia, Norwich, UK
| | - Elizabeth M Tunbridge
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK
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180
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Ahrens KF, Neumann RJ, von Werthern NM, Kranz TM, Kollmann B, Mattes B, Puhlmann LMC, Weichert D, Lutz B, Basten U, Fiebach CJ, Wessa M, Kalisch R, Lieb K, Chiocchetti AG, Tüscher O, Reif A, Plichta MM. Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown. Transl Psychiatry 2022; 12:396. [PMID: 36130942 PMCID: PMC9490720 DOI: 10.1038/s41398-022-02165-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 09/06/2022] [Accepted: 09/08/2022] [Indexed: 11/25/2022] Open
Abstract
The COVID-19 pandemic is a global stressor with inter-individually differing influences on mental health trajectories. Polygenic Risk Scores (PRSs) for psychiatric phenotypes are associated with individual mental health predispositions. Elevated hair cortisol concentrations (HCC) and high PRSs are related to negative mental health outcomes. We analyzed whether PRSs and HCC are related to different mental health trajectories during the first COVID lockdown in Germany. Among 523 participants selected from the longitudinal resilience assessment study (LORA), we previously reported three subgroups (acute dysfunction, delayed dysfunction, resilient) based on weekly mental health (GHQ-28) assessment during COVID lockdown. DNA from blood was collected at the baseline of the original LORA study (n = 364) and used to calculate the PRSs of 12 different psychopathological phenotypes. An explorative bifactor model with Schmid-Leiman transformation was calculated to extract a general genetic factor for psychiatric disorders. Hair samples were collected quarterly prior to the pandemic for determining HCC (n = 192). Bivariate logistic regressions were performed to test the associations of HCC and the PRS factors with the reported trajectories. The bifactor model revealed 1 general factor and 4 sub-factors. Results indicate a significant association between increased values on the general risk factor and the allocation to the acute dysfunction class. The same was found for elevated HCC and the exploratorily tested sub-factor "childhood-onset neurodevelopmental disorders". Genetic risk and long-term cortisol secretion as a potential indicator of stress, indicated by PRSs and HCC, respectively, predicted different mental health trajectories. Results indicate a potential for future studies on risk prediction.
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Affiliation(s)
- Kira F. Ahrens
- Goethe University Frankfurt, University Hospital, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Frankfurt, Germany
| | - Rebecca J. Neumann
- Goethe University Frankfurt, University Hospital, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Frankfurt, Germany
| | - Nina M. von Werthern
- Goethe University Frankfurt, University Hospital, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Frankfurt, Germany
| | - Thorsten M. Kranz
- Goethe University Frankfurt, University Hospital, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Frankfurt, Germany
| | - Bianca Kollmann
- grid.410607.4Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany ,grid.509458.50000 0004 8087 0005Leibniz Institute for Resilience Research (LIR), Mainz, Germany
| | - Björn Mattes
- grid.6546.10000 0001 0940 1669Institute of Psychology, Technical University of Darmstadt, Darmstadt, Germany
| | - Lara M. C. Puhlmann
- grid.509458.50000 0004 8087 0005Leibniz Institute for Resilience Research (LIR), Mainz, Germany
| | - Danuta Weichert
- grid.410607.4Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany
| | - Beat Lutz
- grid.509458.50000 0004 8087 0005Leibniz Institute for Resilience Research (LIR), Mainz, Germany ,grid.410607.4Institute of Physiological Chemistry, University Medical Center Mainz, Mainz, Germany
| | - Ulrike Basten
- grid.7839.50000 0004 1936 9721Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany ,grid.7839.50000 0004 1936 9721Brain Imaging Center, Goethe University, Frankfurt, Germany
| | - Christian J. Fiebach
- grid.7839.50000 0004 1936 9721Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany ,grid.7839.50000 0004 1936 9721Brain Imaging Center, Goethe University, Frankfurt, Germany
| | - Michèle Wessa
- grid.509458.50000 0004 8087 0005Leibniz Institute for Resilience Research (LIR), Mainz, Germany ,grid.5802.f0000 0001 1941 7111Department of Clinical Psychology and Neuropsychology, Institute for Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Raffael Kalisch
- grid.509458.50000 0004 8087 0005Leibniz Institute for Resilience Research (LIR), Mainz, Germany ,grid.410607.4Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
| | - Klaus Lieb
- grid.410607.4Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany ,grid.509458.50000 0004 8087 0005Leibniz Institute for Resilience Research (LIR), Mainz, Germany
| | - Andreas G. Chiocchetti
- grid.7839.50000 0004 1936 9721Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Oliver Tüscher
- grid.410607.4Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany ,grid.509458.50000 0004 8087 0005Leibniz Institute for Resilience Research (LIR), Mainz, Germany
| | - Andreas Reif
- Goethe University Frankfurt, University Hospital, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Frankfurt, Germany
| | - Michael M. Plichta
- Goethe University Frankfurt, University Hospital, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Frankfurt, Germany
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181
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Evidence of genetic overlap and causal relationships between blood-based biochemical traits and human cortical anatomy. Transl Psychiatry 2022; 12:373. [PMID: 36075890 PMCID: PMC9458732 DOI: 10.1038/s41398-022-02141-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 08/18/2022] [Accepted: 08/25/2022] [Indexed: 01/08/2023] Open
Abstract
Psychiatric disorders such as schizophrenia are commonly associated with structural brain alterations affecting the cortex. Recent genetic evidence suggests circulating metabolites and other biochemical traits play a causal role in many psychiatric disorders which could be mediated by changes in the cerebral cortex. Here, we leveraged publicly available genome-wide association study data to explore shared genetic architecture and evidence for causal relationships between a panel of 50 biochemical traits and measures of cortical thickness and surface area. Linkage disequilibrium score regression identified 191 genetically correlated biochemical-cortical trait pairings, with consistent representation of blood cell counts and other biomarkers such as C-reactive protein (CRP), haemoglobin and calcium. Spatially organised patterns of genetic correlation were additionally uncovered upon clustering of region-specific correlation profiles. Interestingly, by employing latent causal variable models, we found strong evidence suggesting CRP and vitamin D exert causal effects on region-specific cortical thickness, with univariable and multivariable Mendelian randomization further supporting a negative causal relationship between serum CRP levels and thickness of the lingual region. Our findings suggest a subset of biochemical traits exhibit shared genetic architecture and potentially causal relationships with cortical structure in functionally distinct regions, which may contribute to alteration of cortical structure in psychiatric disorders.
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182
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Tao S, Zhang Y, Wang Q, Qiao C, Deng W, Liang S, Wei J, Wei W, Yu H, Li X, Li M, Guo W, Ma X, Zhao L, Li T. Identifying transdiagnostic biological subtypes across schizophrenia, bipolar disorder, and major depressive disorder based on lipidomics profiles. Front Cell Dev Biol 2022; 10:969575. [PMID: 36133917 PMCID: PMC9483200 DOI: 10.3389/fcell.2022.969575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/01/2022] [Indexed: 11/23/2022] Open
Abstract
Emerging evidence has demonstrated overlapping biological abnormalities underlying schizophrenia (SCZ), bipolar disorder (BP), and major depressive disorder (MDD); these overlapping abnormalities help explain the high heterogeneity and the similarity of patients within and among diagnostic categories. This study aimed to identify transdiagnostic subtypes of these psychiatric disorders based on lipidomics abnormalities. We performed discriminant analysis to identify lipids that classified patients (N = 349, 112 with SCZ, 132 with BP, and 105 with MDD) and healthy controls (N = 198). Ten lipids that mainly regulate energy metabolism, inflammation, oxidative stress, and fatty acylation of proteins were identified. We found two subtypes (named Cluster 1 and Cluster 2 subtypes) across patients with SCZ, BP, and MDD by consensus clustering analysis based on the above 10 lipids. The distribution of clinical diagnosis, functional impairment measured by Global Assessment of Functioning (GAF) scales, and brain white matter abnormalities measured by fractional anisotropy (FA) and radial diffusivity (RD) differed in the two subtypes. Patients within the Cluster 2 subtype were mainly SCZ and BP patients and featured significantly elevated RD along the genu of corpus callosum (GCC) region and lower GAF scores than patients within the Cluster 1 subtype. The SCZ and BP patients within the Cluster 2 subtype shared similar biological patterns; that is, these patients had comparable brain white matter abnormalities and functional impairment, which is consistent with previous studies. Our findings indicate that peripheral lipid abnormalities might help identify homogeneous transdiagnostic subtypes across psychiatric disorders.
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Affiliation(s)
- Shiwan Tao
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yamin Zhang
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Chunxia Qiao
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Sugai Liang
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jinxue Wei
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wei Wei
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Hua Yu
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaojing Li
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Mingli Li
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wanjun Guo
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Tao Li
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China
- *Correspondence: Tao Li,
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183
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Page ML, Vance EL, Cloward ME, Ringger E, Dayton L, Ebbert MTW, Miller JB, Kauwe JSK. The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores. Commun Biol 2022; 5:899. [PMID: 36056235 PMCID: PMC9438378 DOI: 10.1038/s42003-022-03795-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 08/03/2022] [Indexed: 11/20/2022] Open
Abstract
The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present a centralized polygenic risk score calculator currently containing over 250,000 genetic variant associations from the NHGRI-EBI GWAS Catalog for users to easily calculate sample-specific polygenic risk scores with comparable results to other available tools. Polygenic risk scores are calculated either online through the Polygenic Risk Score Knowledge Base (PRSKB; https://prs.byu.edu ) or via a command-line interface. We report study-specific polygenic risk scores across the UK Biobank, 1000 Genomes, and the Alzheimer's Disease Neuroimaging Initiative (ADNI), contextualize computed scores, and identify potentially confounding genetic risk factors in ADNI. We introduce a streamlined analysis tool and web interface to calculate and contextualize polygenic risk scores across various studies, which we anticipate will facilitate a wider adaptation of polygenic risk scores in future disease research.
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Affiliation(s)
- Madeline L Page
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Elizabeth L Vance
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | | | - Ed Ringger
- Department of Biology, Brigham Young University, Provo, UT, USA
| | - Louisa Dayton
- Department of Biology, Brigham Young University, Provo, UT, USA
| | - Mark T W Ebbert
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington, KY, USA.,Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | | | - Justin B Miller
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington, KY, USA.,Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, USA
| | - John S K Kauwe
- Department of Biology, Brigham Young University, Provo, UT, USA.
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184
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Arjun McKinney A, Petrova R, Panagiotakos G. Calcium and activity-dependent signaling in the developing cerebral cortex. Development 2022; 149:276624. [PMID: 36102617 PMCID: PMC9578689 DOI: 10.1242/dev.198853] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Calcium influx can be stimulated by various intra- and extracellular signals to set coordinated gene expression programs into motion. As such, the precise regulation of intracellular calcium represents a nexus between environmental cues and intrinsic genetic programs. Mounting genetic evidence points to a role for the deregulation of intracellular calcium signaling in neuropsychiatric disorders of developmental origin. These findings have prompted renewed enthusiasm for understanding the roles of calcium during normal and dysfunctional prenatal development. In this Review, we describe the fundamental mechanisms through which calcium is spatiotemporally regulated and directs early neurodevelopmental events. We also discuss unanswered questions about intracellular calcium regulation during the emergence of neurodevelopmental disease, and provide evidence that disruption of cell-specific calcium homeostasis and/or redeployment of developmental calcium signaling mechanisms may contribute to adult neurological disorders. We propose that understanding the normal developmental events that build the nervous system will rely on gaining insights into cell type-specific calcium signaling mechanisms. Such an understanding will enable therapeutic strategies targeting calcium-dependent mechanisms to mitigate disease.
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Affiliation(s)
- Arpana Arjun McKinney
- University of California 1 Graduate Program in Developmental and Stem Cell Biology , , San Francisco, CA 94143 , USA
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California 2 , San Francisco, CA 94143 , USA
- University of California 3 Department of Biochemistry and Biophysics , , San Francisco, CA 94143 , USA
- Kavli Institute for Fundamental Neuroscience, University of California 4 , San Francisco, CA 94143 , USA
| | - Ralitsa Petrova
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California 2 , San Francisco, CA 94143 , USA
- University of California 3 Department of Biochemistry and Biophysics , , San Francisco, CA 94143 , USA
- Kavli Institute for Fundamental Neuroscience, University of California 4 , San Francisco, CA 94143 , USA
| | - Georgia Panagiotakos
- University of California 1 Graduate Program in Developmental and Stem Cell Biology , , San Francisco, CA 94143 , USA
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California 2 , San Francisco, CA 94143 , USA
- University of California 3 Department of Biochemistry and Biophysics , , San Francisco, CA 94143 , USA
- Kavli Institute for Fundamental Neuroscience, University of California 4 , San Francisco, CA 94143 , USA
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185
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Silva-Costa LC, Smith BJ, Carregari VC, Souza GHMF, Vieira EM, Mendes-Silva AP, de Almeida V, Carvalho BS, Diniz BS, Martins-de-Souza D. Plasma proteomic signature of major depressive episode in the elderly. J Proteomics 2022; 269:104713. [PMID: 36058540 DOI: 10.1016/j.jprot.2022.104713] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 08/10/2022] [Accepted: 08/28/2022] [Indexed: 10/14/2022]
Abstract
Depression is a complex and multifactorial disease, affecting about 6.5% of the elderly population in what is referred to as late-life depression (LLD). Despite its public health relevance, there is still limited information about the molecular mechanisms of LLD. We analyzed the blood plasma of 50 older adults, 19 with LLD and 31 controls, through untargeted mass spectrometry, and used systems biology tools to identify biochemical pathways and biological processes dysregulated in the disease. We found 96 differentially expressed proteins between LLD patients and control individuals. Using elastic-net regression, we generated a panel of 75 proteins that comprises a potential model for determining the molecular signature of LLD. We also showed that biological pathways related to vesicle-mediated transport and voltage-dependent calcium channels may be dysregulated in LLD. These data can help to build an understanding of the molecular basis of LLD, offering an integrated view of the biomolecular alterations that occur in this disorder. SIGNIFICANCE: Major depressive disorder in the elderly, called late-life depression (LLD), is a common and disabling disorder, with recent prevalence estimates of 6.5% in the general population. Despite the public health relevance, there is still limited information about the molecular mechanisms of LLD. The findings in this paper shed light on LLD heterogeneous biological mechanisms. We uncovered a potential novel biomolecular signature for LLD and biological pathways related to this condition which can be targets for the development of novel interventions for prevention, early diagnosis, and treatment of LLD.
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Affiliation(s)
- Licia C Silva-Costa
- Laboratory of Neuroproteomics, Institute of Biology, Department of Biochemistry and Tissue Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Bradley J Smith
- Laboratory of Neuroproteomics, Institute of Biology, Department of Biochemistry and Tissue Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Victor Corasolla Carregari
- Laboratory of Neuroproteomics, Institute of Biology, Department of Biochemistry and Tissue Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | | | - Erica M Vieira
- Centre for Addiction and Mental Health (CAMH) (APMS, BSD), Toronto, ON, Canada; Department of Psychiatry, Faculty of Medicine (BSD), University of Toronto, Toronto, ON, Canada
| | - Ana Paula Mendes-Silva
- Centre for Addiction and Mental Health (CAMH) (APMS, BSD), Toronto, ON, Canada; Department of Psychiatry, Faculty of Medicine (BSD), University of Toronto, Toronto, ON, Canada
| | - Valéria de Almeida
- Laboratory of Neuroproteomics, Institute of Biology, Department of Biochemistry and Tissue Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Benilton S Carvalho
- Department of Statistics, Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, (UNICAMP), Campinas, Brazil; Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil
| | - Breno S Diniz
- UConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA; Department of Psychiatry, Faculty of Medicine, University of Connecticut, CT, USA
| | - Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, Institute of Biology, Department of Biochemistry and Tissue Biology, University of Campinas (UNICAMP), Campinas, Brazil; Experimental Medicine Research Cluster (EMRC), University of Campinas, Campinas, Sao Paulo, Brazil; D'Or Institute for Research and Education (IDOR), São Paulo, Brazil; Instituto Nacional de Biomarcadores em Neuropsiquiatria, Conselho Nacional de Desenvolvimento Científico e Tecnológico, São Paulo, Brazil.
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186
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Fountoulakis KN, Panagiotidis P, Tegos T, Kimiskidis V, Nimatoudis I. Paternal age and specific neurological soft signs as reliable and valid neurobiological markers for the diagnosis of patients with schizophrenia. Eur Arch Psychiatry Clin Neurosci 2022; 272:1087-1096. [PMID: 34842982 DOI: 10.1007/s00406-021-01357-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 11/08/2021] [Indexed: 12/17/2022]
Abstract
Advanced parental age at delivery and neurological soft signs (NSS) constitute risk factors for schizophrenia. The aim of the current study was to develop a neurobiological diagnostic index by combining them, and without the contribution of clinical symptomatology. The study sample included 133 patients suffering from schizophrenia according to DSM-IV-TR (77 males and 56 females; aged 33.55 ± 11.22 years old) and 122 normal controls (66 males and 56 females; aged 32.89 ± 9.91 years old). The assessment included the Neurological Evaluation Scale (NES), and a number of scales assessing the clinical symptoms and adverse effects. The statistical analysis included exploratory t-test, Pearson Correlation coefficient (R) and Discriminant Function Analysis (DFA). Exploratory t-tests and Pearson's R suggested that sex, parental age and NSS constitute independent components. On the basis of DFA results, the Psychotic Neurological Index was developed. At the cut-off PNI score of 8.5, sensitivity was equal to 94.74 and specificity to 93.44. The current is probably the first study to report on an easily obtainable diagnostic neurobiological marker with identifiable properties which is absolutely independent from the clinical manifestations and could serve in distinguishing between patients with schizophrenia and healthy controls with high efficacy.
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Affiliation(s)
- Konstantinos N Fountoulakis
- 3rd Department of Psychiatry, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Panagiotis Panagiotidis
- 3rd Department of Psychiatry, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Thomas Tegos
- 1st Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vasileios Kimiskidis
- 1st Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ioannis Nimatoudis
- 3rd Department of Psychiatry, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
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187
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Cattarinussi G, Kubera KM, Hirjak D, Wolf RC, Sambataro F. Neural Correlates of the Risk for Schizophrenia and Bipolar Disorder: A Meta-analysis of Structural and Functional Neuroimaging Studies. Biol Psychiatry 2022; 92:375-384. [PMID: 35523593 DOI: 10.1016/j.biopsych.2022.02.960] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 01/28/2022] [Accepted: 02/23/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Clinical features and genetics overlap in schizophrenia (SCZ) and bipolar disorder (BD). Identifying brain alterations associated with genetic vulnerability for SCZ and BD could help to discover intermediate phenotypes, quantifiable biological traits with greater prevalence in unaffected relatives (RELs), and early recognition biomarkers in ultrahigh risk populations. However, a comprehensive meta-analysis of structural and functional magnetic resonance imaging (MRI) studies examining relatives of patients with SCZ and BD has not been performed yet. METHODS We systematically searched PubMed, Scopus, and Web of Science for structural and functional MRI studies investigating relatives and healthy control subjects. A total of 230 eligible neuroimaging studies (6274 SCZ-RELs, 1900 BD-RELs, 10,789 healthy control subjects) were identified. We conducted coordinate-based activation likelihood estimation meta-analyses on 26 structural MRI and 81 functional MRI investigations, including stratification by task type. We also meta-analyzed regional and global volumetric changes. Finally, we performed a meta-analysis of all MRI studies combined. RESULTS Reduced thalamic volume was present in both SCZ and BD RELs. Moreover, SCZ-RELs showed alterations in corticostriatal-thalamic networks, spanning the dorsolateral prefrontal cortex and temporal regions, while BD-RELs showed altered thalamocortical and limbic regions, including the ventrolateral prefrontal, superior parietal, and medial temporal cortices, with frontoparietal alterations in RELs of BD type I. CONCLUSIONS Familiarity for SCZ and BD is associated with alterations in the thalamocortical circuits, which may be the expression of the shared genetic mechanism underlying both disorders. Furthermore, the involvement of different prefrontocortical and temporal nodes may be associated with a differential symptom expression in the two disorders.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience, Università degli studi di Padova, Padova, Italy; Padova Neuroscience Center, Università degli studi di Padova, Padova, Italy
| | - Katharina M Kubera
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Robert C Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Fabio Sambataro
- Department of Neuroscience, Università degli studi di Padova, Padova, Italy; Padova Neuroscience Center, Università degli studi di Padova, Padova, Italy.
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188
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Meijs H, Prentice A, Lin BD, De Wilde B, Van Hecke J, Niemegeers P, van Eijk K, Luykx JJ, Arns M. A polygenic-informed approach to a predictive EEG signature empowers antidepressant treatment prediction: A proof-of-concept study. Eur Neuropsychopharmacol 2022; 62:49-60. [PMID: 35896057 DOI: 10.1016/j.euroneuro.2022.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 07/05/2022] [Accepted: 07/08/2022] [Indexed: 11/04/2022]
Abstract
The treatment of major depressive disorder (MDD) is hampered by low chances of treatment response in each treatment step, which is partly due to a lack of firmly established outcome-predictive biomarkers. Here, we hypothesize that polygenic-informed EEG signatures may help predict antidepressant treatment response. Using a polygenic-informed electroencephalography (EEG) data-driven, data-reduction approach, we identify a brain network in a large cohort (N=1,123), and discover it is sex-specifically (male patients, N=617) associated with polygenic risk score (PRS) of antidepressant response. Subsequently, we demonstrate in three independent datasets the utility of the network in predicting response to antidepressant medication (male, N=232) as well as repetitive transcranial magnetic stimulation (rTMS) and concurrent psychotherapy (male, N=95). This network significantly improves a treatment response prediction model with age and baseline severity data (area under the curve, AUC=0.623 for medicaton; AUC=0.719 for rTMS). A predictive model for MDD patients, aimed at increasing the likelihood of being a responder to antidepressants or rTMS and concurrent psychotherapy based on only this network, yields a positive predictive value (PPV) of 69% for medication and 77% for rTMS. Finally, blinded out-of-sample validation of the network as predictor for psychotherapy response in another independent dataset (male, N=50) results in a within-subsample response rate of 50% (improvement of 56%). Overall, the findings provide a first proof-of-concept of a combined genetic and neurophysiological approach in the search for clinically-relevant biomarkers in psychiatric disorders, and should encourage researchers to incorporate genetic information, such as PRS, in their search for clinically relevant neuroimaging biomarkers.
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Affiliation(s)
- Hannah Meijs
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; GGNet Mental Health, Warnsveld, the Netherlands.
| | - Amourie Prentice
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Bochao D Lin
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Bieke De Wilde
- Department of Psychiatry, Ziekenhuis Netwerk Antwerpen (ZNA), Antwerp, Belgium
| | - Jan Van Hecke
- Department of Psychiatry, Ziekenhuis Netwerk Antwerpen (ZNA), Antwerp, Belgium
| | - Peter Niemegeers
- Department of Psychiatry, Ziekenhuis Netwerk Antwerpen (ZNA), Antwerp, Belgium
| | - Kristel van Eijk
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Jurjen J Luykx
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; GGNet Mental Health, Warnsveld, the Netherlands; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Martijn Arns
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
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189
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Shao Z, Wang T, Qiao J, Zhang Y, Huang S, Zeng P. A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies. BMC Bioinformatics 2022; 23:359. [PMID: 36042399 PMCID: PMC9429742 DOI: 10.1186/s12859-022-04897-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 08/22/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Multilocus analysis on a set of single nucleotide polymorphisms (SNPs) pre-assigned within a gene constitutes a valuable complement to single-marker analysis by aggregating data on complex traits in a biologically meaningful way. However, despite the existence of a wide variety of SNP-set methods, few comprehensive comparison studies have been previously performed to evaluate the effectiveness of these methods. RESULTS We herein sought to fill this knowledge gap by conducting a comprehensive empirical comparison for 22 commonly-used summary-statistics based SNP-set methods. We showed that only seven methods could effectively control the type I error, and that these well-calibrated approaches had varying power performance under the simulation scenarios. Overall, we confirmed that the burden test was generally underpowered and score-based variance component tests (e.g., sequence kernel association test) were much powerful under the polygenic genetic architecture in both common and rare variant association analyses. We further revealed that two linkage-disequilibrium-free P value combination methods (e.g., harmonic mean P value method and aggregated Cauchy association test) behaved very well under the sparse genetic architecture in simulations and real-data applications to common and rare variant association analyses as well as in expression quantitative trait loci weighted integrative analysis. We also assessed the scalability of these approaches by recording computational time and found that all these methods can be scalable to biobank-scale data although some might be relatively slow. CONCLUSION In conclusion, we hope that our findings can offer an important guidance on how to choose appropriate multilocus association analysis methods in post-GWAS era. All the SNP-set methods are implemented in the R package called MCA, which is freely available at https://github.com/biostatpzeng/ .
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Affiliation(s)
- Zhonghe Shao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Jiahao Qiao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Yuchen Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Shuiping Huang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
- Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
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190
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Uliana DL, Zhu X, Gomes FV, Grace AA. Using animal models for the studies of schizophrenia and depression: The value of translational models for treatment and prevention. Front Behav Neurosci 2022; 16:935320. [PMID: 36090659 PMCID: PMC9449416 DOI: 10.3389/fnbeh.2022.935320] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/04/2022] [Indexed: 11/29/2022] Open
Abstract
Animal models of psychiatric disorders have been highly effective in advancing the field, identifying circuits related to pathophysiology, and identifying novel therapeutic targets. In this review, we show how animal models, particularly those based on development, have provided essential information regarding circuits involved in disorders, disease progression, and novel targets for intervention and potentially prevention. Nonetheless, in recent years there has been a pushback, largely driven by the US National Institute of Mental Health (NIMH), to shift away from animal models and instead focus on circuits in normal subjects. This has been driven primarily from a lack of discovery of new effective therapeutic targets, and the failure of targets based on preclinical research to show efficacy. We discuss why animal models of complex disorders, when strongly cross-validated by clinical research, are essential to understand disease etiology as well as pathophysiology, and direct new drug discovery. Issues related to shortcomings in clinical trial design that confound translation from animal models as well as the failure to take patient pharmacological history into account are proposed to be a source of the failure of what are likely effective compounds from showing promise in clinical trials.
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Affiliation(s)
- Daniela L. Uliana
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Xiyu Zhu
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States
| | - Felipe V. Gomes
- Department of Pharmacology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Anthony A. Grace
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States
- *Correspondence: Anthony A. Grace,
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191
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Samson C, Achim AM, Sicard V, Gilker A, Francoeur A, Franck N, Cloutier B, Giguère CE, Jean-Baptiste F, Lecomte T. Further validation of the Cognitive Biases Questionnaire for psychosis. BMC Psychiatry 2022; 22:560. [PMID: 35986316 PMCID: PMC9392283 DOI: 10.1186/s12888-022-04203-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 08/08/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cognitive biases are recognized as important treatment targets for reducing symptoms associated with severe mental disorders. Although cognitive biases have been linked to symptoms in most studies, few studies have looked at such biases transdiagnostically. The Cognitive Bias Questionnaire for psychosis (CBQp) is a self-reported questionnaire that assesses cognitive biases amongst individuals with a psychotic disorder, as well as individuals with other severe mental disorders. The current study aims to validate a French version of the CBQp and to explore transdiagnostic cognitive biases in individuals with psychotic disorders, individuals with depression, and in healthy controls. METHODS The CBQp was translated into French following a protocol based on international standards. Discriminant validity and internal consistency were determined for total score and each subscale score. Confirmatory factor analyses were performed to test construct validity. Finally, cluster analyses were conducted to investigate cognitive biases across diagnostic groups. RESULTS Our results were similar to those of the original authors, with the one-factor solution (assessment of a general thinking bias) being the strongest, but the two-factor solution (assessing biases within two themes relating to psychosis) and the five-factor solution (assessment of multiple distinct biases) being clinically more interesting. A six-cluster solution emerged, suggesting that individuals with similar diagnoses score differently on all cognitive biases, and that individuals with different diagnoses might have similar cognitive biases. CONCLUSIONS The current findings support the validity of the French translation of the CBQp. Our cluster analyses overall support the transdiagnostic presence of cognitive biases.
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Affiliation(s)
- Crystal Samson
- grid.14848.310000 0001 2292 3357Département de Psychologie, Laboratoire d’étude sur la schizophrénie et les psychoses orienté vers l’intervention et le rétablissement Pavillon Marie-Victorin, Université de Montréal, 90 Vincent D’Indy Ave, Outremont, QC, H2V 2S9 Canada ,grid.420732.00000 0001 0621 4067Centre de recherche de l’Institut Universitaire en Santé Mentale de Montréal (CR-IUSMM), Québec, Canada
| | - Amélie M. Achim
- grid.23856.3a0000 0004 1936 8390Université Laval, Québec, Canada ,Centre de recherche CERVO, Québec, Canada ,Centre de recherche en santé durable VITAM, Québec, Canada
| | - Veronik Sicard
- grid.414148.c0000 0000 9402 6172Children’s Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Andy Gilker
- grid.86715.3d0000 0000 9064 6198Département de Génie biotechnologique, Université de Sherbrooke, Québec, Canada
| | - Audrey Francoeur
- grid.14848.310000 0001 2292 3357Département de Psychologie, Laboratoire d’étude sur la schizophrénie et les psychoses orienté vers l’intervention et le rétablissement Pavillon Marie-Victorin, Université de Montréal, 90 Vincent D’Indy Ave, Outremont, QC, H2V 2S9 Canada ,grid.420732.00000 0001 0621 4067Centre de recherche de l’Institut Universitaire en Santé Mentale de Montréal (CR-IUSMM), Québec, Canada
| | - Nicolas Franck
- grid.7849.20000 0001 2150 7757Faculté de Médecine Lyon-Sud Charles Mérieux, Université Claude Bernard Lyon 1, Lyon, France ,grid.420146.50000 0000 9479 661XPôle Centre rive gauche & Centre ressource de réhabilitation psychosociale, Centre hospitalier Le Vinatier, Lyon, France ,Centre National de la Recherche Scientifique (CNRS), Bron, France
| | - Briana Cloutier
- grid.14848.310000 0001 2292 3357Département de Psychologie, Laboratoire d’étude sur la schizophrénie et les psychoses orienté vers l’intervention et le rétablissement Pavillon Marie-Victorin, Université de Montréal, 90 Vincent D’Indy Ave, Outremont, QC, H2V 2S9 Canada ,grid.420732.00000 0001 0621 4067Centre de recherche de l’Institut Universitaire en Santé Mentale de Montréal (CR-IUSMM), Québec, Canada
| | - Charles-Edouard Giguère
- grid.420732.00000 0001 0621 4067Centre de recherche de l’Institut Universitaire en Santé Mentale de Montréal (CR-IUSMM), Québec, Canada
| | - Francelyne Jean-Baptiste
- grid.420732.00000 0001 0621 4067Centre de recherche de l’Institut Universitaire en Santé Mentale de Montréal (CR-IUSMM), Québec, Canada
| | - Tania Lecomte
- Département de Psychologie, Laboratoire d'étude sur la schizophrénie et les psychoses orienté vers l'intervention et le rétablissement Pavillon Marie-Victorin, Université de Montréal, 90 Vincent D'Indy Ave, Outremont, QC, H2V 2S9, Canada. .,Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal (CR-IUSMM), Québec, Canada.
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192
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Chen MX, Oh YS, Kim Y. S100A10 and its binding partners in depression and antidepressant actions. Front Mol Neurosci 2022; 15:953066. [PMID: 36046712 PMCID: PMC9423026 DOI: 10.3389/fnmol.2022.953066] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 06/24/2022] [Indexed: 11/13/2022] Open
Abstract
S100A10 (p11) is an emerging player in the neurobiology of depression and antidepressant actions. p11 was initially thought to be a modulator of serotonin receptor (5-HTR) trafficking and serotonergic transmission, though newly identified binding partners of p11 and neurobiological studies of these proteins have shed light on multifunctional roles for p11 in the regulation of glutamatergic transmission, calcium signaling and nuclear events related to chromatin remodeling, histone modification, and gene transcription. This review article focuses on direct binding partners of p11 in the brain including 5-HTRs, mGluR5, annexin A2, Ahnak, Smarca3, and Supt6h, as well as their roles in neuronal function, particularly in the context of depressive-like behavior as well as behavioral effects of antidepressant drug treatments in mice. In addition, we discuss neurobiological insights from recently uncovered p11 pathways in multiple types of neurons and non-neuronal cells and cast major remaining questions for future studies.
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Affiliation(s)
- Michelle X. Chen
- University of Iowa Medical Scientist Training Program, Carver College of Medicine, University of Iowa, Iowa, IA, United States
| | - Yong-Seok Oh
- Department of Brain Sciences, Daegu-Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
| | - Yong Kim
- Department of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, United States
- Brain Health Institute, Rutgers University, Piscataway, NJ, United States
- *Correspondence: Yong Kim
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193
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Petković A, Chaudhury D. Encore: Behavioural animal models of stress, depression and mood disorders. Front Behav Neurosci 2022; 16:931964. [PMID: 36004305 PMCID: PMC9395206 DOI: 10.3389/fnbeh.2022.931964] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/28/2022] [Indexed: 11/17/2022] Open
Abstract
Animal studies over the past two decades have led to extensive advances in our understanding of pathogenesis of depressive and mood disorders. Among these, rodent behavioural models proved to be of highest informative value. Here, we present a comprehensive overview of the most popular behavioural models with respect to physiological, circuit, and molecular biological correlates. Behavioural stress paradigms and behavioural tests are assessed in terms of outcomes, strengths, weaknesses, and translational value, especially in the domain of pharmacological studies.
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Affiliation(s)
| | - Dipesh Chaudhury
- Laboratory of Neural Systems and Behaviour, Department of Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
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194
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Huda A, Petch J. Too soon to discard Kraepelin: improving diagnosis by appropriate use of neo-Kraepelinian and unitary psychosis models. BJPSYCH ADVANCES 2022. [DOI: 10.1192/bja.2022.53] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
SUMMARY
There is a debate in psychiatry regarding whether it is better to use neo-Kraepelinian diagnostic categories or unitary models of psychosis in clinical practice. This article argues that clinicians should use either model as appropriate for the case in question, along with the conceptual framework used in the clinical management of psychosis without a clear biological cause. It first explores the values involved in the development of psychiatric classification systems, the purpose of classification and how we reached the current DSM/ICD and unitary models of psychosis. It then describes a diagnostic approach in which the choice of model should depend on the case in question, and offers a diagnostic protocol to guide the decision.
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195
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Della Vecchia A, Marazziti D. Back to the Future: The Role of Infections in Psychopathology. Focus on OCD. CLINICAL NEUROPSYCHIATRY 2022; 19:248-263. [PMID: 36101642 PMCID: PMC9442856 DOI: 10.36131/cnfioritieditore20220407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
OBJECTIVE Recently, there has been a resurgence of interest in the relationship between infections and psychopathology, given the increasing data on the neurotropism and neurological/psychiatric morbidity of the SARS-COV2 virus, responsible for the current worldwide pandemic. Although the majority of observations were those obtained in mood and schizophrenic disorders, a few data are also available on the presence of bacterial or viral infections in patients suffering from obsessive-compulsive disorder (OCD). Therefore, given the limited information, the present paper aimed at reviewing the most updated evidence of infections in neuropsychiatric disorders and their possible mechanisms of actions, with a narrow focus on microbes in OCD. METHOD This paper is a narrative review. The databases of PubMed, Scopus, Embase, PsycINFO and Google Scholar were accessed to research and collect English language papers published between 1 January 1980 and 31 December 2021. The data on PANDAS/PANS and those observed during severe brain infections were excluded. RESULTS Several pathogens have been associated with an increased risk to develop a broad spectrum of neuropsychiatric conditions, such as schizophrenia, mood disorders, autism, attention-deficit/hyperactivity disorder, anorexia nervosa, and post-traumatic stress disorder. Some evidence supported a possible role of infections also in the pathophysiology of OCD. Infections from Herpes simplex virus 1, Borna disease virus, Group A-Beta Hemolytic Streptococcus, Borrelia spp., and Toxoplasma gondii were actually found in patients with OCD. Although different mechanisms have been hypothesized, all would converge to trigger functional/structural alterations of specific circuits or immune processes, with cascade dysfunctions of several other systems. CONCLUSIONS Based on the current evidence, a possible contribution of different types of microbes has been proposed for different neuropsychiatric disorders including OCD. However, the currently available literature is meager and heterogeneous in terms of sample characteristics and methods used. Therefore, further studies are needed to better understand the impact of infectious agents in neuropsychiatric disorders. Our opinion is that deeper insights in this field might contribute to a better definition of biological underpinnings of specific clinical pictures, as well as to promote psychiatric precision medicine, with treatments based on altered pathological pathways of single patients. This might be particularly relevant in OCD, a disorder with a high proportion of patients who are resistant or do not respond to conventional therapeutic strategies.
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Affiliation(s)
- Alessandra Della Vecchia
- Section of Psychiatry, Department of Clinical and Experimental Medicine, University of Pisa, and
| | - Donatella Marazziti
- Section of Psychiatry, Department of Clinical and Experimental Medicine, University of Pisa, and, Saint Camillus International University of Health and Medical Sciences – UniCamillus, Rome, Italy
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196
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Aoki R, Saito T, Ninomiya K, Shimasaki A, Ashizawa T, Ito K, Ikeda M, Iwata N. Shared genetic components between metabolic syndrome and schizophrenia: Genetic correlation using multipopulation data sets. Psychiatry Clin Neurosci 2022; 76:361-366. [PMID: 35536160 PMCID: PMC9546074 DOI: 10.1111/pcn.13372] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/24/2022] [Accepted: 04/21/2022] [Indexed: 11/30/2022]
Abstract
AIM The genetic relationship between schizophrenia (SCZ) and other nonpsychiatric disorders remains largely unknown. We examined the shared genetic components between these disorders based on multipopulation data sets. METHODS We used two data sets for East Asian (EAS) and European (EUR) samples. SCZ data was based on the Psychiatric Genomics Consortium Asia with our own genome-wide association study for EAS and Psychiatric Genomics Consortium for EUR. Nonpsychiatric data (20 binary traits [mainly nonpsychiatric complex disorders] and 34 quantitative traits [mainly laboratory examinations and physical characteristics]) were obtained from Biobank Japan and UK Biobank for EAS and EUR samples, respectively. To evaluate genetic correlation, linkage disequilibrium score regression analysis was utilized with further meta-analysis for each result from EAS and EUR samples to obtain robust evidence. Subsequent mendelian randomization analysis was also included to examine the causal effect. RESULTS A significant genetic correlation between SCZ and several metabolic syndrome (MetS) traits was detected in the combined samples (meta-analysis between EAS and EUR data) (body mass index [rg = -0.10, q-value = 1.0 × 10-9 ], high-density-lipoprotein cholesterol [rg = 0.072, q-value = 2.9 × 10-3 ], blood sugar [rg = -0.068, q-value = 1.4 × 10-2 ], triglycerides [rg = -0.052, q-value = 2.4 × 10-2 ], systolic blood pressure [rg = -0.054, q-value = 3.5 × 10-2 ], and C-reactive protein [rg = -0.076, q-value = 7.8 × 10-5 ]. However, no causal relationship on SCZ susceptibility was detected for these traits based on the mendelian randomization analysis. CONCLUSION Our results indicate shared genetic components between SCZ and MetS traits and C-reactive protein. Specifically, we found it interesting that the correlation between MetS traits and SCZ was the opposite of that expected from clinical studies: this genetic study suggests that SCZ susceptibility was associated with reduced MetS. This implied that MetS in patients with SCZ was not associated with genetic components but with environmental factors, including antipsychotics, lifestyle changes, poor diet, lack of exercise, and living conditions.
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Affiliation(s)
- Rei Aoki
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Takeo Saito
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kohei Ninomiya
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Ayu Shimasaki
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Takuma Ashizawa
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kenta Ito
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
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197
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Baranova A, Wang J, Cao H, Chen JH, Chen J, Chen M, Ni S, Xu X, Ke X, Xie S, Sun J, Zhang F. Shared genetics between autism spectrum disorder and attention-deficit/hyperactivity disorder and their association with extraversion. Psychiatry Res 2022; 314:114679. [PMID: 35717853 DOI: 10.1016/j.psychres.2022.114679] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/31/2022] [Accepted: 06/10/2022] [Indexed: 12/22/2022]
Abstract
BACKGROUND Deciphering the genetic relationships between autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) may uncover underlining shared pathophysiology as well as inform treatment. METHODS The summary results of genome-wide association studies on ADHD, ASD, and extraversion were utilized for the analyzes. Genetic correlations between ADHD, ASD, and extraversion were tested using linkage disequilibrium score regression. Causal relationships between ADHD, ASD, and extraversion were investigated using Mendelian randomization (MR) analysis. Novel pleiotropic genomic loci shared by ADHD and ASD were identified using a cross-trait meta-analysis. RESULTS Extraversion was positively correlated with ADHD (rg = 0.205) and negatively correlated with ASD (rg = -0.193). The MR analysis showed that ADHD confers a causal effect on ASD (OR: 1.35, 95% confidence interval (CI):1.20-1.52) and vice versa (1.46, 1.38-1.55). Extraversion exerts a causal effect on ADHD only (1.19, 1.05-1.33). The cross-trait meta-analysis identified three novel pleiotropic genomic loci for ADHD and ASD, involving two pleiotropic genes, LINC00461 and KIZ. CONCLUSIONS Our study provides new insights into the shared genetics of ADHD and ASD and their connections with extraversion.
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Affiliation(s)
- Ancha Baranova
- School of Systems Biology, George Mason University, Manassas 20110, USA; Research Centre for Medical Genetics, Moscow 115478, Russia
| | - Jun Wang
- Department of Psychiatry, Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, China
| | - Hongbao Cao
- School of Systems Biology, George Mason University, Manassas 20110, USA
| | - Jiang-Huan Chen
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Miao Chen
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Sulin Ni
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Xijia Xu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Xiaoyan Ke
- Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Shiping Xie
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Jing Sun
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Fuquan Zhang
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China.
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198
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Vigod SN, Ray JG, Cohen E, Wilton AS, Saunders NR, Barker LC, Berard A, Dennis CL, Holloway AC, Morrison K, Oberlander TF, Hanley G, Tu K, Brown HK. Maternal Schizophrenia and the Risk of a Childhood Chronic Condition. Schizophr Bull 2022; 48:1252-1262. [PMID: 35900007 PMCID: PMC9673258 DOI: 10.1093/schbul/sbac091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND HYPOTHESIS Maternal schizophrenia heightens the risk for certain perinatal complications, yet it is not known to what degree future childhood chronic health conditions (Childhood-CC) might arise. STUDY DESIGN This population-based cohort study using health administrative data from Ontario, Canada (1995-2018) compared 5066 children of mothers with schizophrenia to 25 324 children of mothers without schizophrenia, propensity-matched on birth-year, maternal age, parity, immigrant status, income, region of residence, and maternal medical and psychiatric conditions other than schizophrenia. Cox proportional hazard models generated hazard ratios (HR) and 95% confidence intervals (CI) for incident Childhood-CCs, and all-cause mortality, up to age 19 years. STUDY RESULTS Six hundred and fifty-six children exposed to maternal schizophrenia developed a Childhood-CC (20.5/1000 person-years) vs. 2872 unexposed children (17.1/1000 person-years)-an HR of 1.18, 95% CI 1.08-1.28. Corresponding rates were 3.3 vs. 1.9/1000 person-years (1.77, 1.44-2.18) for mental health Childhood-CC, and 18.0 vs. 15.7/1000 person-years (1.13, 1.04-1.24) for non-mental health Childhood-CC. All-cause mortality rates were 1.2 vs. 0.8/1000 person-years (1.34, 0.96-1.89). Risk for children exposed to maternal schizophrenia was similar whether or not children were discharged to social service care. From age 1 year, risk was greater for children whose mothers were diagnosed with schizophrenia prior to pregnancy than for children whose mothers were diagnosed with schizophrenia postnatally. CONCLUSIONS A child exposed to maternal schizophrenia is at elevated risk of chronic health conditions including mental and physical subtypes. Future research should examine what explains the increased risk particularly for physical health conditions, and what preventive and treatment efforts are needed for these children.
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Affiliation(s)
- Simone N Vigod
- To whom correspondence should be addressed; Department of Psychiatry, Women’s College Hospital, 76 Grenville Street, Toronto, ON, Canada; tel: 416-323-6400, ext. 4080, e-mail:
| | - Joel G Ray
- Institute for Health Policy, Management and Evaluation, Toronto, ON, Canada,ICES, Toronto, ON, Canada,St. Michael’s Hospital, Toronto, ON, Canada,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Eyal Cohen
- Institute for Health Policy, Management and Evaluation, Toronto, ON, Canada,ICES, Toronto, ON, Canada,Edwin S.H. Leong Centre for Healthy Children, Hospital for Sick Children, Toronto, ON, Canada,Department of Pediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Natasha R Saunders
- Institute for Health Policy, Management and Evaluation, Toronto, ON, Canada,ICES, Toronto, ON, Canada,Edwin S.H. Leong Centre for Healthy Children, Hospital for Sick Children, Toronto, ON, Canada,Department of Pediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Lucy C Barker
- Women’s College Hospital and Women’s College Research Institute, Toronto, ON, Canada,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada,Institute for Health Policy, Management and Evaluation, Toronto, ON, Canada,ICES, Toronto, ON, Canada
| | - Anick Berard
- Universite de Montreal, Faculty of Pharmacy, Montreal, QC, Canada,CHU Ste-Justine, Montreal, QC, Canada
| | - Cindy-Lee Dennis
- Women’s College Hospital and Women’s College Research Institute, Toronto, ON, Canada,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada,Lawrence S. BloombergFaculty of Nursing, University of Toronto, Toronto, ON, Canada
| | - Alison C Holloway
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, ON, Canada
| | | | - Tim F Oberlander
- Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Gillian Hanley
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada
| | - Karen Tu
- Institute for Health Policy, Management and Evaluation, Toronto, ON, Canada,Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, North York General Hospital, Toronto Western Hospital Family Health Team-UHN, Toronto, ON, Canada
| | - Hilary K Brown
- Women’s College Hospital and Women’s College Research Institute, Toronto, ON, Canada,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada,Institute for Health Policy, Management and Evaluation, Toronto, ON, Canada,ICES, Toronto, ON, Canada,Department of Health and Society, University of Toronto, Scarborough, Toronto, ON, Canada
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199
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Carnovale C, Perrotta C, Baldelli S, Cattaneo D, Montrasio C, Barbieri SS, Pompilio G, Vantaggiato C, Clementi E, Pozzi M. Antihypertensive drugs and brain function: mechanisms underlying therapeutically beneficial and harmful neuropsychiatric effects. Cardiovasc Res 2022; 119:647-667. [PMID: 35895876 PMCID: PMC10153433 DOI: 10.1093/cvr/cvac110] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 06/15/2022] [Accepted: 06/21/2022] [Indexed: 11/14/2022] Open
Abstract
A bidirectional relationship exists between hypertension and psychiatric disorders, including unipolar and bipolar depression, anxiety, post-traumatic stress disorder (PTSD), psychosis, schizophrenia, mania, and dementia/cognitive decline. Repurposing of antihypertensive drugs to treat mental disorders is thus being explored. A systematic knowledge of the mechanisms of action and clinical consequences of the use of antihypertensive agents on neuropsychiatric functions has not been achieved yet. In this article, we review the putative role of antihypertensive agents in psychiatric disorders, discuss the targets and mechanisms of action, and examine how and to what extent specific drug classes/molecules may trigger, worsen, or mitigate psychiatric symptoms. In addition, we review pharmacokinetics (brain penetration of drugs) and pharmacogenetics data that add important information to assess risks and benefits of antihypertensive drugs in neuropsychiatric settings. The scientific literature shows robust evidence of a positive effect of α1 blockers on PTSD symptoms, nightmares and sleep quality, α2 agonists on core symptoms, executive function and quality of life in Attention-Deficit/Hyperactivity Disorder, PTSD, Tourette's syndrome, and β blockers on anxiety, aggression, working memory, and social communication. Renin-angiotensin system modulators exert protective effects on cognition, depression, and anxiety, and the loop diuretic bumetanide reduced the core symptoms of autism in a subset of patients. There is no evidence of clear benefits of calcium channel blockers in mood disorders in the scientific literature. These findings are mainly from preclinical studies; clinical data are still insufficient or of anecdotal nature, and seldom systematic. The information herewith provided can support a better therapeutic approach to hypertension, tailored to patients with, or with high susceptibility to, psychiatric illness. It may prompt clinical studies exploring the potential benefit of antihypertensive drugs in selected patients with neuropsychiatric comorbidities that include outcomes of neuropsychiatric interest and specifically assess undesirable effects or interactions.
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Affiliation(s)
- Carla Carnovale
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, 20157 Milano, Italy
| | - Cristiana Perrotta
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, 20157 Milano, Italy
| | - Sara Baldelli
- Unit of Clinical Pharmacology, ASST Fatebenefratelli-Sacco University Hospital, 20157 Milano, Italy
| | - Dario Cattaneo
- Unit of Clinical Pharmacology, ASST Fatebenefratelli-Sacco University Hospital, 20157 Milano, Italy
| | - Cristina Montrasio
- Unit of Clinical Pharmacology, ASST Fatebenefratelli-Sacco University Hospital, 20157 Milano, Italy
| | - Silvia S Barbieri
- Unit of Brain-Heart axis: cellular and molecular mechanisms - Centro Cardiologico Monzino IRCCS, 20138 Milano, Italy
| | - Giulio Pompilio
- Unit of Vascular Biology and Regenerative Medicine - Centro Cardiologico Monzino IRCCS, 20138, Milan, Italy.,Department of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Milan, Italy
| | | | - Emilio Clementi
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, 20157 Milano, Italy.,Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | - Marco Pozzi
- Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
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200
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de Marco A, Scozia G, Manfredi L, Conversi D. A Systematic Review of Genetic Polymorphisms Associated with Bipolar Disorder Comorbid to Substance Abuse. Genes (Basel) 2022; 13:genes13081303. [PMID: 35893041 PMCID: PMC9330731 DOI: 10.3390/genes13081303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 07/20/2022] [Accepted: 07/21/2022] [Indexed: 01/09/2023] Open
Abstract
It is currently unknown which genetic polymorphisms are involved in substance use disorder (SUD) comorbid with bipolar disorder (BD). The research on polymorphisms in BD comorbid with SUD (BD + SUD) is summarized in this systematic review. We looked for case-control studies that genetically compared adults and adolescents with BD and SUD, healthy controls, and BD without SUD. PRISMA was used to create our protocol, which is PROSPERO-registered (identification: CRD4221270818). The following bibliographic databases were searched indefinitely until December 2021 to identify potentially relevant articles: PubMed, PsycINFO, Scopus, and Web of Science. This systematic review, after the qualitative analysis of the study selection, included 17 eligible articles. In the selected studies, 66 polymorphisms in 29 genes were investigated. The present work delivers a group of potentially valuable genetic polymorphisms associated with BD + SUD: rs11600996 (ARNTL), rs228642/rs228682/rs2640909 (PER3), PONQ192R (PON1), rs945032 (BDKRB2), rs1131339 (NR4A3), and rs6971 (TSPO). It is important to note that none of those findings have been confirmed by two or more studies; thus, we believe that all the polymorphisms identified in this review require additional evidence to be confirmed.
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Affiliation(s)
- Adriano de Marco
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
| | - Gabriele Scozia
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
- PhD Program in Behavioral Neuroscience, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy
| | - Lucia Manfredi
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
| | - David Conversi
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
- Correspondence:
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