101
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de Nooij L, Harris MA, Hawkins EL, Clarke TK, Shen X, Chan SWY, Ziermans TB, McIntosh AM, Whalley HC. Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family Study. Wellcome Open Res 2020; 4:206. [PMID: 32954013 PMCID: PMC7479500 DOI: 10.12688/wellcomeopenres.15617.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/28/2020] [Indexed: 11/20/2022] Open
Abstract
Background: Within young individuals, mood disorder onset may be related to changes in trajectory of brain structure development. To date, however, longitudinal prospective studies remain scarce and show partly contradictory findings, with a lack of emphasis on changes at the level of global brain patterns. Cross-sectional adult studies have applied such methods and show that mood disorders are associated with accelerated brain aging. Currently, it remains unclear whether young individuals show differential brain structure aging trajectories associated with onset of mood disorder and/or presence of familial risk. Methods: Participants included young individuals (15-30 years, 53%F) from the prospective longitudinal Scottish Bipolar Family Study with and without close family history of mood disorder. All were well at time of recruitment. Implementing a structural MRI-based brain age prediction model, we globally assessed individual trajectories of age-related structural change using the difference between predicted brain age and chronological age (brain-predicted age difference (brain-PAD)) at baseline and at 2-year follow-up. Based on follow-up clinical assessment, individuals were categorised into three groups: (i) controls who remained well (C-well, n = 93), (ii) high familial risk who remained well (HR-well, n = 74) and (iii) high familial risk who developed a mood disorder (HR-MD, n = 35). Results: At baseline, brain-PAD was comparable between groups. Results showed statistically significant negative trajectories of brain-PAD between baseline and follow-up for HR-MD versus C-well ( β = -0.60, p corrected < 0.001) and HR-well ( β = -0.36, p corrected = 0.02), with a potential intermediate trajectory for HR-well ( β = -0.24 years, p corrected = 0.06). Conclusions: These preliminary findings suggest that within young individuals, onset of mood disorder and familial risk may be associated with a deceleration in brain structure aging trajectories. Extended longitudinal research will need to corroborate findings of emerging maturational lags in relation to mood disorder risk and onset.
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Affiliation(s)
- Laura de Nooij
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Emma L. Hawkins
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Xueyi Shen
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Stella W. Y. Chan
- Section of Clinical Psychology, University of Edinburgh, Edinburgh, UK
| | - Tim B. Ziermans
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
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102
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Almeida HS, Mitjans M, Arias B, Vieta E, Ríos J, Benabarre A. Genetic differences between bipolar disorder subtypes: A systematic review focused in bipolar disorder type II. Neurosci Biobehav Rev 2020; 118:623-630. [DOI: 10.1016/j.neubiorev.2020.07.033] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 07/07/2020] [Accepted: 07/27/2020] [Indexed: 12/18/2022]
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103
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Walsh RFL, Sheppard B, Cui L, Brown C, Van Meter A, Merikangas KR. Comorbidity and patterns of familial aggregation in attention-deficit/hyperactivity disorder and bipolar disorder in a family study of affective and anxiety spectrum disorders. J Psychiatr Res 2020; 130:355-361. [PMID: 32882577 DOI: 10.1016/j.jpsychires.2020.08.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 07/03/2020] [Accepted: 08/14/2020] [Indexed: 01/03/2023]
Abstract
The aim of this study is to examine the familial aggregation of Attention-deficit/hyperactivity disorder (ADHD) and its cross-transmission with bipolar disorder (BD) in a community-based family study of mood spectrum disorders. A clinically-enriched community sample of 562 probands recruited from the greater Washington, DC metropolitan area and their 698 directly interviewed relatives were included in analyses. Inclusion criteria were English speaking and consent to contact at least two first-degree relatives. Standard family study methodology was used and DSM-IV classified mental disorders were ascertained through a best-estimate procedure based on direct semi-structured interviews and multiple family history reports. There was specificity of familial aggregation of both bipolar I disorder (BD I) and bipolar II disorder (BD II) (i.e., BD I OR = 6.08 [1.66, 22.3]; BD II OR = 2.98 [1.11, 7.96]) and ADHD (ADHD OR = 2.13 [1.16, 3.95]). However, there was no evidence for cross-transmission of BD and ADHD in first degree relatives (i.e., did not observe increased rates of BD in relatives of those with ADHD and vice versa; all ps > 0.05). The specificity of familial aggregation of ADHD and BD alongside the absence of shared familial risk are consistent with the notion that the comorbidity between ADHD and BD may be attributable to diagnostic artifact, could represent a distinct BD suptype characterized by childhood-onset symptoms, or the possibility that attention problems serve as a precursor or consequence of BD.
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Affiliation(s)
- Rachel F L Walsh
- Genetic Epidemiology Research Branch, National Institute of Mental Health, Intramural Research Program, Building 35A, Room 2E410, MSC 3720, Bethesda, MD, 20892, USA.
| | - Brooke Sheppard
- Genetic Epidemiology Research Branch, National Institute of Mental Health, Intramural Research Program, Building 35A, Room 2E410, MSC 3720, Bethesda, MD, 20892, USA; Department of Epidemiology, Johns Hopkins' Bloomberg School of Public Health, 615 North Wolfe Street, W6508, Baltimore, MD, 21205, USA
| | - Lihong Cui
- Genetic Epidemiology Research Branch, National Institute of Mental Health, Intramural Research Program, Building 35A, Room 2E410, MSC 3720, Bethesda, MD, 20892, USA
| | - Cortlyn Brown
- Genetic Epidemiology Research Branch, National Institute of Mental Health, Intramural Research Program, Building 35A, Room 2E410, MSC 3720, Bethesda, MD, 20892, USA
| | - Anna Van Meter
- Genetic Epidemiology Research Branch, National Institute of Mental Health, Intramural Research Program, Building 35A, Room 2E410, MSC 3720, Bethesda, MD, 20892, USA; The Feinstein Institutes for Medical Research, The Zucker Hillside Hospital, Division of Psychiatry Research, 350 Community Dr, Manhasset, NY, 11030, USA
| | - Kathleen R Merikangas
- Genetic Epidemiology Research Branch, National Institute of Mental Health, Intramural Research Program, Building 35A, Room 2E410, MSC 3720, Bethesda, MD, 20892, USA.
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104
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Kaiser AJE, Funkhouser CJ, Mittal VA, Walther S, Shankman SA. Test-retest & familial concordance of MDD symptoms. Psychiatry Res 2020; 292:113313. [PMID: 32738552 PMCID: PMC7529979 DOI: 10.1016/j.psychres.2020.113313] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 07/15/2020] [Accepted: 07/19/2020] [Indexed: 11/23/2022]
Abstract
Psychopathology research has increasingly sought to study the etiology and treatment of individual symptoms, rather than categorical diagnoses. However, it is unclear whether commonly used measures have adequate psychometric properties for assessing individual symptoms. This study examined the test-retest reliability and familial concordance (an indicator of validity) of the symptoms of Major Depressive Disorder (MDD), a disorder consisting of nine core symptoms, most of which are aggregated (e.g., symptom 7 of the DSM criteria for MDD is worthlessness or guilt). Lifetime MDD symptoms were measured in 504 young adults (237 sibling pairs) using the Structured Clinical Interview for DSM-5 (SCID). Fifty-one people completed a second SCID within three weeks of their first SCID. Results indicated that aggregated and unaggregated symptoms demonstrated moderate to substantial test-retest reliability and generally significant, but slight to fair familial concordance (with the highest familial concordance being for markedly diminished interest or pleasure and its unaggregated components - decreased interest and decreased pleasure). Given the increasing focus on the differential validity of individual MDD symptoms, the present study suggests that interview-based assessments of depression can assess most individual symptoms with adequate levels of reliability and validity.
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Affiliation(s)
- Ariela J E Kaiser
- University of Illinois at Chicago, Department of Psychology, United States; Northwestern University, Department of Psychiatry and Behavioral Sciences, United States
| | - Carter J Funkhouser
- University of Illinois at Chicago, Department of Psychology, United States; Northwestern University, Department of Psychiatry and Behavioral Sciences, United States
| | - Vijay A Mittal
- Northwestern University, Department of Psychiatry and Behavioral Sciences, United States; Northwestern University, Departments of Psychology, Medical Social Sciences.. Institutes for Policy Research, Innovations in Developmental Sciences (DevSci), United States
| | - Sebastian Walther
- University of Bern, University Hospital of Psychiatry, Translational Research Center, Bern, Switzerland
| | - Stewart A Shankman
- University of Illinois at Chicago, Department of Psychology, United States; Northwestern University, Department of Psychiatry and Behavioral Sciences, United States.
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105
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Ma C, Li X, Chen J, Li Z, Guan J, Li Y, Yin S, Shi Y. Association Analysis Between Common Variants of the TRPM1 Gene and Three Mental Disorders in the Han Chinese Population. Genet Test Mol Biomarkers 2020; 24:649-657. [PMID: 33001715 PMCID: PMC7585623 DOI: 10.1089/gtmb.2019.0096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Objective: Our study was designed to determine if the TRPM1 gene is associated with any of three mental disorders. The project included a cross disorder meta-analysis and association analysis including 141701 cases and 175248 controls. Materials and Methods: We genotyped eight tag single nucleotide polymorphisms (SNPs) in 1248 unrelated schizophrenia (SCZ) patients, 1056 major depressive disorder patients, 1344 bipolar disorder patients, and 1248 normal controls. We then performed a meta-analysis of 10 GWASs to identify common genetic factors among these three mental disorders. Finally, we performed a meta-analysis of six GWASs to explore the role of rs10162727 in SCZ. Result: Although two haplotypes of the TRPM1 gene, rs1035706-rs10162727 and rs10162727-rs3784599, were identified in the control group, as well as all three disease groups, none of the eight tag SNP associations remained significant after correction for multiple tests. In this cross-disorder meta-analysis of the three diseases, none of the tag SNPs were confirmed to be common among the diseases. In addition, in the meta-analysis conducted for the rs10162727 locus in SCZ, there was no significant association (p-value = 0.84, odds ratio = 1.02 [95% CI = 0.87-1.19]). Conclusion: In the Han Chinese population, no significant evidence was found linking variants of the TRPM1 gene with any of the mental disorders examined.
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Affiliation(s)
- Chuanchuan Ma
- Department of Biology, School of Life Science, Anhui Medical University, Hefei, China
| | - Xiuli Li
- Department of Biology, School of Life Science, Anhui Medical University, Hefei, China
| | - Jianhua Chen
- Department of Biology, School of Life Science, Anhui Medical University, Hefei, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Department of Otolaryngology, Therapy Center for Obstructive Sleep Apnea, Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Zhiqiang Li
- Department of Biology, School of Life Science, Anhui Medical University, Hefei, China
- Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Department of Otolaryngology, Therapy Center for Obstructive Sleep Apnea, Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
- The Affiliated Hospital of Qingdao University, The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, People's Republic of China
| | - Jian Guan
- Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Department of Otolaryngology, Therapy Center for Obstructive Sleep Apnea, Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yigang Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- Department of Cardiology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) and the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Shankai Yin
- Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Department of Otolaryngology, Therapy Center for Obstructive Sleep Apnea, Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yongyong Shi
- Department of Biology, School of Life Science, Anhui Medical University, Hefei, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Department of Otolaryngology, Therapy Center for Obstructive Sleep Apnea, Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
- The Affiliated Hospital of Qingdao University, The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, People's Republic of China
- Department of Cardiology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) and the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, People's Republic of China
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106
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Dwyer DS. Genomic Chaos Begets Psychiatric Disorder. Complex Psychiatry 2020; 6:20-29. [PMID: 34883501 PMCID: PMC7673594 DOI: 10.1159/000507988] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 04/06/2020] [Indexed: 12/21/2022] Open
Abstract
The processes that created the primordial genome are inextricably linked to current day vulnerability to developing a psychiatric disorder as summarized in this review article. Chaos and dynamic forces including duplication, transposition, and recombination generated the protogenome. To survive early stages of genome evolution, self-organization emerged to curb chaos. Eventually, the human genome evolved through a delicate balance of chaos/instability and organization/stability. However, recombination coldspots, silencing of transposable elements, and other measures to limit chaos also led to retention of variants that increase risk for disease. Moreover, ongoing dynamics in the genome creates various new mutations that determine liability for psychiatric disorders. Homologous recombination, long-range gene regulation, and gene interactions were all guided by spooky action-at-a-distance, which increased variability in the system. A probabilistic system of life was required to deal with a changing environment. This ensured the generation of outliers in the population, which enhanced the probability that some members would survive unfavorable environmental impacts. Some of the outliers produced through this process in man are ill suited to cope with the complex demands of modern life. Genomic chaos and mental distress from the psychological challenges of modern living will inevitably converge to produce psychiatric disorders in man.
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Affiliation(s)
- Donard S. Dwyer
- Departments of Psychiatry and Behavioral Medicine and Pharmacology, Toxicology and Neuroscience, LSU Health Shreveport, Shreveport, Louisiana, USA
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107
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Abstract
In the post-genomic era, genetics has led to limited clinical applications in the diagnosis and treatment of major depressive disorder (MDD). Variants in genes coding for cytochrome enzymes are included in guidelines for assisting in antidepressant choice and dosing, but there are no recommendations involving genes responsible for antidepressant pharmacodynamics and no consensus applications for guiding diagnosis or prognosis. However, genetics has contributed to a better understanding of MDD pathogenesis and the mechanisms of antidepressant action, also thanks to recent methodological innovations that overcome the challenges posed by the polygenic architecture of these traits. Polygenic risk scores can be used to estimate the risk of disease at the individual level, which may have clinical relevance in cases with extremely high scores (e.g. top 1%). Genetic studies have also shed light on a wide genetic overlap between MDD and other psychiatric disorders. The relationships between genes/pathways associated with MDD and known drug targets are a promising tool for drug repurposing and identification of new pharmacological targets. Increase in power thanks to larger samples and methods integrating genetic data with gene expression, the integration of common variants and rare variants, are expected to advance our knowledge and assist in personalized psychiatry.
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108
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Anke TMS, Slinning K, Moe V, Brunborg C, Siqveland TS, Skjelstad DV. Bipolar offspring and mothers: interactional challenges at infant age 3 and 12 months-a developmental pathway to enhanced risk? Int J Bipolar Disord 2020; 8:27. [PMID: 32869152 PMCID: PMC7459000 DOI: 10.1186/s40345-020-00192-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 06/04/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Bipolar offspring are considered a high-risk group for developing mental disorders. Developmental outcomes result from additive and interactive effects of biological vulnerability and environmental influences. Mother-infant interactions represent important early environmental influences that may modify infants' risk of mental disorders. The aim of the current prospective study was to investigate the patterns and development of mother-infant interactions in the first year of life in dyads in which the mothers have bipolar disorder (BD). METHODS Twenty-six dyads in which the mothers had BD and 28 dyads in which the mothers had no mental disorder were video-taped in a free play interaction. The Parent-Child Early Relational Assessment (PCERA) was used to assess the quality of the interactions on three domains (maternal behaviour, infant behaviour and dyadic coordination) at 3 and 12 months of infant age. First, we compared the mother-infant interaction patterns between the two groups at 12 months. Second, we investigated how the patterns developed within and between the groups from infant ages 3 to 12 months. RESULTS BD dyads demonstrated significantly more challenges in all three interaction domains at infant age 12 months compared to the healthy dyads. This observation was in line with the findings at infant age 3 months. Subdued expression of positive affect and mutual underinvolvement represented core challenges in maternal and infant behaviours in the BD dyads. Continuous difficulties with dyadic coordination and reciprocity were the most concerning interaction behaviours at 3 and 12 months. On the positive side, there was little expression of negative affect or tension in maternal, infant and dyadic behaviour, and some positive changes in infant behaviour from 3 to 12 months. CONCLUSIONS The current results suggest that challenges in mother-infant interaction patterns in the first year of life may enhance the developmental risk for bipolar offspring. Clinical interventions should address both the BD mothers' needs in relation to postpartum mood deviations and mother-infant interactions. We suggest interaction interventions to promote dyadic coordination and reciprocity, such as helping mothers being more sensitive to their infant's cues and to provide attuned contingent responses.
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Affiliation(s)
- Teija M S Anke
- Division of Mental Health and Addiction, Vestre Viken Hospital Trust, 3004, Drammen, Norway.
| | - Kari Slinning
- The Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway
| | - Vibeke Moe
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Cathrine Brunborg
- Oslo Centre for Biostatistics and Epidemiology, Research Support Services, Oslo University Hospital, Ullevål, Oslo, Norway
| | | | - Dag Vegard Skjelstad
- Division of Mental Health and Addiction, Vestre Viken Hospital Trust, 3004, Drammen, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
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109
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Kendler KS, Ohlsson H, Sundquist J, Sundquist K. An Extended Swedish National Adoption Study of Bipolar Disorder Illness and Cross-Generational Familial Association With Schizophrenia and Major Depression. JAMA Psychiatry 2020; 77:814-822. [PMID: 32186664 PMCID: PMC7081154 DOI: 10.1001/jamapsychiatry.2020.0223] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Information about how risk for bipolar disorder is transmitted across generations and how parental risk for bipolar disorder relates to their children's risk for schizophrenia and major depression is limited. OBJECTIVE To evaluate the sources of parent-offspring transmission of bipolar disorder and its familial cross-generational association with schizophrenia and major depression. DESIGN, SETTING, AND PARTICIPANTS Parents and offspring (born 1960-1990) from 4 family types were ascertained from Swedish national samples: intact (offspring, n = 2 175 259), not-lived-with biological father (n = 152 436), lived-with stepfather (n = 73 785), and adoptive (n = 15 624). Data analysis was conducted from October 28, 2019, to January 8, 2020. EXPOSURES Three sources of parent-offspring resemblance: genes plus rearing, genes only, and rearing only. MAIN OUTCOMES AND MEASURES Diagnosis of bipolar disorder, broad schizophrenia (ie, schizophrenia as a 3-level variable: unaffected, nonaffective psychosis, and schizophrenia) and major depression obtained from Swedish national registries. Parent-offspring resemblance was assessed primarily by tetrachoric correlation (ie, correlation of liability) and for key results, odds ratios (ORs) from logistic regression. Cross-generational associations of bipolar disorder with broad schizophrenia and major depression were assessed by their transmission from bipolar disorder in parents and transmission to bipolar disorder in offspring. RESULTS The study population included 2 417 104 individuals of 4 family types (51.8% male and 48.2% female; median age, 41 [range, 25-60] years). For bipolar disorder to bipolar disorder transmission, tetrachoric correlations for 3 types of parent-offspring relationships were statistically homogeneous across family type and mothers and fathers for genes plus rearing (0.25; 95% CI, 0.24-0.26), genes only (0.22; 95% CI, 0.18-0.26), and rearing only (0.07; 95% CI, -0.01 to 0.15). Parallel ORs were 5.20 (95% CI, 4.91-5.50), 3.66 (95% CI, 2.97-4.51), and 1.63 (95% CI, 0.96-2.78). Best-estimate, cross-disorder tetrachoric correlations for 3 types of parent-offspring relationships for bipolar disorder and broad schizophrenia were 0.12 (95% CI, 0.11-0.13) for genes plus rearing, 0.12 (95% CI, 0.09-0.14) for genes only, and -0.03 (95% CI, -0.11 to 0.04) for rearing only, with parallel ORs of 1.95 (95% CI, 1.93-1.97), 2.04 (95% CI, 1.75-2.38), and 0.76 (95% CI, 0.43-1.35). For bipolar disorder and major depression, the parallel tetrachoric correlations were 0.09 (95% CI, 0.07-0.10) for genes plus rearing, 0.04 (95% CI, 0.01-0.07) for genes only, and 0.05 (95% CI, 0.01-0.08) for rearing only; parallel ORs were 1.53 (95% CI, 1.50-1.57), 1.23 (95% CI, 1.13-1.34), and 1.25 (95% CI, 1.09-1.42). Heritability for bipolar disorder was estimated at 0.44 (95% CI, 0.36-0.48). Genetic correlations were estimated at 0.572 (95% CI, 0.560-0.589) between bipolar disorder and broad schizophrenia and 0.302 (95% CI, 0.001-0.523) between bipolar disorder and major depression. CONCLUSIONS AND RELEVANCE The findings of this study suggest that genes are largely responsible for bipolar disorder transmission across generations, although modest rearing effects are also likely present. Cross-generational transmission between bipolar disorder and broad schizophrenia appears to be entirely genetic with a moderate genetic correlation; for bipolar disorder and major depression, transmission appears to result equally from genes and rearing with a modest genetic correlation.
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Affiliation(s)
- Kenneth S. Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond,Department of Psychiatry, Virginia Commonwealth University, Richmond
| | - Henrik Ohlsson
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Jan Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden,Department of Family Medicine and Community Health, Icahn School of Medicine at Mount Sinai, New York, New York,Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden,Department of Family Medicine and Community Health, Icahn School of Medicine at Mount Sinai, New York, New York,Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York,Center for Community-Based Healthcare Research and Education, Department of Functional Pathology, School of Medicine, Shimane University, Matsue, Japan
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110
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de Nooij L, Harris MA, Hawkins EL, Clarke TK, Shen X, Chan SWY, Ziermans TB, McIntosh AM, Whalley HC. Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family Study. Wellcome Open Res 2020; 4:206. [PMID: 32954013 PMCID: PMC7479500 DOI: 10.12688/wellcomeopenres.15617.2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2020] [Indexed: 11/14/2023] Open
Abstract
Background: Within young individuals, mood disorder onset may be related to changes in trajectory of brain structure development. To date, however, longitudinal prospective studies remain scarce and show partly contradictory findings, with a lack of emphasis on changes at the level of global brain patterns. Cross-sectional adult studies have applied such methods and show that mood disorders are associated with accelerated brain ageing. Currently, it remains unclear whether young individuals show differential brain structure aging trajectories associated with onset of mood disorder and/or presence of familial risk. Methods: Participants included young individuals (15-30 years, 53%F) from the prospective longitudinal Scottish Bipolar Family Study with and without close family history of mood disorder. All were well at time of recruitment. Implementing a structural MRI-based brain age prediction model, we globally assessed individual trajectories of age-related structural change using the difference between predicted brain age and chronological age (brain-predicted age difference (brain-PAD)) at baseline and at 2-year follow-up. Based on follow-up clinical assessment, individuals were categorised into three groups: (i) controls who remained well (C-well, n = 93), (ii) high familial risk who remained well (HR-well, n = 74) and (iii) high familial risk who developed a mood disorder (HR-MD, n = 35). Results: At baseline, brain-PAD was comparable between groups. Results showed statistically significant negative trajectories of brain-PAD between baseline and follow-up for HR-MD versus C-well ( β = -0.60, p corrected < 0.001) and HR-well ( β = -0.36, p corrected = 0.02), with a potential intermediate trajectory for HR-well ( β = -0.24 years, p corrected = 0.06). Conclusions: These preliminary findings suggest that within young individuals, onset of mood disorder and familial risk may be associated with a deceleration in brain structure aging trajectories. Extended longitudinal research will need to corroborate findings of emerging maturational lags in relation to mood disorder risk and onset.
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Affiliation(s)
- Laura de Nooij
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Emma L. Hawkins
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Xueyi Shen
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Stella W. Y. Chan
- Section of Clinical Psychology, University of Edinburgh, Edinburgh, UK
| | - Tim B. Ziermans
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
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111
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Revisiting the Stress Concept: Implications for Affective Disorders. J Neurosci 2020; 40:12-21. [PMID: 31896560 DOI: 10.1523/jneurosci.0733-19.2019] [Citation(s) in RCA: 269] [Impact Index Per Article: 67.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 11/24/2019] [Accepted: 11/29/2019] [Indexed: 12/18/2022] Open
Abstract
Over the last 50 years, the concept of stress has evolved significantly, and our understanding of the underlying neurobiology has expanded dramatically. Rather than consider stress biology to be relevant only under unusual and threatening conditions, we conceive of it as an ongoing, adaptive process of assessing the environment, coping with it, and enabling the individual to anticipate and deal with future challenges. Though much remains to be discovered, the fundamental neurocircuitry that underlies these processes has been broadly delineated, key molecular players have been identified, and the impact of this system on neuroplasticity has been well established. More recently, we have come to appreciate the critical interaction between the brain and the rest of the body as it pertains to stress responsiveness. Importantly, this system can become overloaded due to ongoing environmental demands on the individual, be they physical, physiological, or psychosocial. The impact of this overload is deleterious to brain health, and it results in vulnerability to a range of brain disorders, including major depression and cognitive deficits. Thus, stress biology is one of the best understood systems in affective neuroscience and is an ideal target for addressing the pathophysiology of many brain-related diseases. The story we present began with the discovery of glucocorticoid receptors in hippocampus and has extended to other brain regions in both animal models and the human brain with the further discovery of structural and functional adaptive plasticity in response to stressful and other experiences.
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112
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McClain LL, Shaw P, Sabol R, Chedia AM, Segretti AM, Rengasamy M, Finegold DN, Pan L, Peters DG. Rare variants and biological pathways identified in treatment-refractory depression. J Neurosci Res 2020; 98:1322-1334. [PMID: 32128872 DOI: 10.1002/jnr.24609] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 02/12/2020] [Accepted: 02/22/2020] [Indexed: 12/30/2022]
Abstract
Individuals diagnosed with major depressive disorder not responding to at least two adequate treatments are defined as treatment-refractory major depressive disorder (TR-MDD). Some TR-MDD patients have altered metabolic phenotypes that may be pharmacologically reversed. The characterization of these phenotypes and their underlying etiologies is paramount, particularly their genetic components. In this study, TR-MDD patients (n = 124) were recruited and metabolites were quantified in their cerebrospinal fluid (CSF) and peripheral blood. Three sub-categories of deficiencies were examined, namely 5-methyltetrahydrofolte (in CSF; n = 13), tetrahydrobiopterin (in CSF; n = 11), and abnormal acylcarnitine profiles (in peripheral blood; n = 8). Whole exome sequencing was performed on genomic DNA from the entire TR-MDD cohort and exonic variant allele frequencies for cases were compared to a control cohort (1:5 matching on ancestry). Low frequency, damaging alleles were identified and used for in silico pathway analyses. Three association signals for TR-MDD approached genome-wide significance on chromosomes 22, 7, and 3. Three risk-associated variants from a prior depression study were replicated. Relevant biological pathways were identified that contained an enrichment of rare, damaging variants in central nervous system (CNS)-specific pathways, including neurotransmitter receptors, potassium channels, and synapse transmission. Some TR-MDD patients had rare variants in genes that were previously associated with other psychiatric disorders, psychiatric endophenotypes, CNS structural defects, and CNS-related cellular and molecular functions. Exome analysis of metabolically phenotyped TR-MDD patients has identified potentially functional gene pathways and low frequency, deleterious gene variants for further investigation. Further studies in larger cohorts of biochemically phenotyped TR-MDD patients are desirable to extend and confirm these findings.
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Affiliation(s)
- Lora Lee McClain
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Patricia Shaw
- Center for Fetal Medicine, Magee-Womens Research Institute, Pittsburgh, PA, USA
| | - Roisin Sabol
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Anna Maria Chedia
- Center for Fetal Medicine, Magee-Womens Research Institute, Pittsburgh, PA, USA
- Creative and Performing Arts Magnet, Pittsburgh Public Schools, Pittsburgh, PA, USA
| | - Anna Maria Segretti
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Manivel Rengasamy
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David N Finegold
- Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Lisa Pan
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David Gerard Peters
- Center for Fetal Medicine, Magee-Womens Research Institute, Pittsburgh, PA, USA
- Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Pfennig A, Leopold K, Martini J, Boehme A, Lambert M, Stamm T, Bermpohl F, Reif A, Kittel-Schneider S, Juckel G, Fallgatter AJ, Kircher T, Jansen A, Pfeiffer S, Berndt C, Rottmann-Wolf M, Sauer C, Ritter P, Correll CU, Bechdolf A, Falkenberg I, Bauer M. Improving early recognition and intervention in people at increased risk for the development of bipolar disorder: study protocol of a prospective-longitudinal, naturalistic cohort study (Early-BipoLife). Int J Bipolar Disord 2020; 8:22. [PMID: 32607662 PMCID: PMC7326843 DOI: 10.1186/s40345-020-00183-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 03/07/2020] [Indexed: 12/12/2022] Open
Abstract
Background Bipolar disorders (BD) belong to the most severe mental disorders, characterized by an early onset and recurrent, severe episodes or a chronic course with poor psychosocial functioning in a proportion of patients. Many patients with BD experience substantial symptomatology months or even years before full BD manifestation. Adequate diagnosis and treatment is often delayed, which is associated with a worse outcome. This study aims to prospectively evaluate and improve early recognition and intervention strategies for persons at-risk for BD. Methods Early-BipoLife is a prospective-longitudinal cohort study of 1419 participants (aged 15–35 years) with at least five waves of assessment over a period of at least 2 years (baseline, 6, 12, 18 and 24 months). A research consortium of ten university and teaching hospitals across Germany conducts this study. The following risk groups (RGs) were recruited: RG I: help-seeking youth and young adults consulting early recognition centres/facilities presenting ≥ 1 of the proposed risk factors for BD, RG II: in-/outpatients with unipolar depressive syndrome, and RG III: in-/outpatients with attention-deficit/hyperactivity disorder (ADHD). The reference cohort was selected from the German representative IMAGEN cohort. Over the study period, the natural course of risk and resilience factors, early symptoms of BD and changes of symptom severity (including conversion to manifest BD) are observed. Psychometric properties of recently developed, structured instruments on potential risk factors for conversion to BD and subsyndromal symptomatology (Bipolar Prodrome Symptom Scale, Bipolar at-risk criteria, EPIbipolar) and biomarkers that potentially improve prediction are investigated. Moreover, actual treatment recommendations are monitored in the participating specialized services and compared to recently postulated clinical categorization and treatment guidance in the field of early BD. Discussion Findings from this study will contribute to an improved knowledge about the natural course of BD, from the onset of first noticeable symptoms (precursors) to fully developed BD, and about mechanisms of conversion from subthreshold to manifest BD. Moreover, these generated data will provide information for the development of evidence-based guidelines for early-targeted detection and preventive intervention for people at risk for BD.
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Affiliation(s)
- Andrea Pfennig
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
| | - Karolina Leopold
- Department of Psychiatry, Psychotherapy and Psychosomatics, Vivantes Klinikum Am Urban, Berlin, Germany
| | - Julia Martini
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Anne Boehme
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Martin Lambert
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thomas Stamm
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatic, Medical School Brandenburg, Neuruppin, Germany
| | - Felix Bermpohl
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Georg Juckel
- Department of Psychiatry and Psychotherapy, LWL-University Hospital Bochum, Ruhr-University Bochum, Bochum, Germany
| | - Andreas J Fallgatter
- Department of General Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University Hospital Marburg, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University Hospital Marburg, Marburg, Germany
| | - Steffi Pfeiffer
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Christina Berndt
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Maren Rottmann-Wolf
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Cathrin Sauer
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Philipp Ritter
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Christoph U Correll
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, The Zucker Hillside Hospital, Glen Oaks, NY, USA.,Department of Child- and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Bechdolf
- Department of Psychiatry, Psychotherapy and Psychosomatics, Vivantes Klinikum Am Urban, Berlin, Germany
| | - Irina Falkenberg
- Department of Psychiatry and Psychotherapy, University Hospital Marburg, Marburg, Germany
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
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Kasyanov ED, Merkulova TV, Kibitov AO, Mazo GE. Genetics of Bipolar Spectrum Disorders: Focus on Family Studies Using Whole Exome Sequencing. RUSS J GENET+ 2020. [DOI: 10.1134/s1022795420070054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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115
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Lynch CJ, Gunning FM, Liston C. Causes and Consequences of Diagnostic Heterogeneity in Depression: Paths to Discovering Novel Biological Depression Subtypes. Biol Psychiatry 2020; 88:83-94. [PMID: 32171465 DOI: 10.1016/j.biopsych.2020.01.012] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 12/13/2019] [Accepted: 01/18/2020] [Indexed: 12/17/2022]
Abstract
Depression is a highly heterogeneous syndrome that bears only modest correlations with its biological substrates, motivating a renewed interest in rethinking our approach to diagnosing depression for research purposes and new efforts to discover subtypes of depression anchored in biology. Here, we review the major causes of diagnostic heterogeneity in depression, with consideration of both clinical symptoms and behaviors (symptomatology and trajectory of depressive episodes) and biology (genetics and sexually dimorphic factors). Next, we discuss the promise of using data-driven strategies to discover novel subtypes of depression based on functional neuroimaging measures, including dimensional, categorical, and hybrid approaches to parsing diagnostic heterogeneity and understanding its biological basis. The merits of using resting-state functional magnetic resonance imaging functional connectivity techniques for subtyping are considered along with a set of technical challenges and potential solutions. We conclude by identifying promising future directions for defining neurobiologically informed depression subtypes and leveraging them in the future for predicting treatment outcomes and informing clinical decision making.
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Affiliation(s)
- Charles J Lynch
- Brain and Mind Research Institute and Department of Psychiatry, Weill Cornell Medicine, New York, New York
| | - Faith M Gunning
- Brain and Mind Research Institute and Department of Psychiatry, Weill Cornell Medicine, New York, New York
| | - Conor Liston
- Brain and Mind Research Institute and Department of Psychiatry, Weill Cornell Medicine, New York, New York.
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Ottesen NM, Meluken I, Frikke-Schmidt R, Plomgaard P, Scheike T, Fernandes BS, Berk M, Poulsen HE, Kessing LV, Miskowiak K, Vinberg M. Are remitted affective disorders and familial risk of affective disorders associated with metabolic syndrome, inflammation and oxidative stress? - a monozygotic twin study. Psychol Med 2020; 50:1736-1745. [PMID: 31482770 DOI: 10.1017/s003329171900182x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Metabolic syndrome (MetS) is associated with reduced life expectancy in patients with affective disorders, however, whether MetS also plays a role before the onset of affective disorder is unknown. We aimed to investigate whether MetS, inflammatory markers or oxidative stress act as risk factors for affective disorders, and whether MetS is associated with increased inflammation and oxidative stress. METHODS We conducted a high-risk study including 204 monozygotic (MZ) twins with unipolar or bipolar disorder in remission or partial remission (affected), their unaffected co-twins (high-risk) and twins with no personal or family history of affective disorder (low-risk). Metabolic Syndrome was ascertained according to the International Diabetes Federation (IDF) criteria. Inflammatory markers and markers of oxidative stress were analyzed from fasting blood and urine samples, respectively. RESULTS The affected and the high-risk group had a significantly higher prevalence of MetS compared to the low-risk group (20% v. 15% v. 2.5%, p = 0.0006), even after adjusting for sex, age, smoking and alcohol consumption. No differences in inflammatory and oxidative markers were seen between the three groups. Further, MetS was associated with alterations in inflammatory markers, and oxidative stress was modestly correlated with inflammation. CONCLUSION Metabolic syndrome is associated with low-grade inflammation and may act as a risk factor and a trait marker for affective disorders. If confirmed in longitudinal studies, this suggests the importance of early intervention and preventive approaches targeted towards unhealthy lifestyle factors that may contribute to later psychopathology.
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Affiliation(s)
- Ninja Meinhard Ottesen
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Iselin Meluken
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Plomgaard
- Department of Clinical Biochemistry Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thomas Scheike
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Brisa S Fernandes
- Centre for Addiction and Mental Health (CAMH) and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Michael Berk
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Geelong, Australia
- Orygen, the National Centre of Excellence in Youth Mental Health, the Florey Institute for Neuroscience and Mental Health, and the Department of Psychiatry, University of Melbourne, Parkville, Australia
| | - Henrik Enghusen Poulsen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Pharmacology, Bispebjerg Frederiksberg Hospital, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Kamilla Miskowiak
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Maj Vinberg
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
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The black sheep of the family- whole-exome sequencing in family of lithium response discordant bipolar monozygotic twins. Eur Neuropsychopharmacol 2020; 34:19-27. [PMID: 32305265 DOI: 10.1016/j.euroneuro.2020.03.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 03/06/2020] [Indexed: 01/20/2023]
Abstract
Twin studies are among the most promising strategies for studying heritable disorders, including bipolar disorder (BD). The aim of the present study was to identify distinguishing genes between monozygotic (MZ) twins with different BD phenotype and compare them to their non-affected siblings. Whole-exome sequencing (WES) can identify rare and structural variants that could detect the polygenetic burden of complex disorders. WES was performed on a family composed of two MZ twins with BD, their unaffected brother and unaffected parents. The twins have a discordant response to lithium and distinct course of illness. Following WES, six genes of particular interest emerged: Neurofibromin type 1 (NF1), Biorientation of chromosomes in cell division 1 (BOD1), Golgi-associated gamma adaptin ear-containing ARF binding protein 3 (GGA3), Disrupted in schizophrenia 1 (DISC1), Neuromedin U receptor 2 (NMUR2), and Huntingtin interacting protein 1-related (HIP1R). Interestingly, many of these influence glutamatergic pathways and thus the findings may have therapeutical implications. These results may provide important insights to unveil genetic underpinnings of BD and the response to lithium.
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118
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Charney AW, Mullins N, Park YJ, Xu J. On the diagnostic and neurobiological origins of bipolar disorder. Transl Psychiatry 2020; 10:118. [PMID: 32327632 PMCID: PMC7181677 DOI: 10.1038/s41398-020-0796-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 03/11/2020] [Accepted: 04/01/2020] [Indexed: 11/22/2022] Open
Abstract
Psychiatry is constructed around a taxonomy of several hundred diagnoses differentiated by nuances in the timing, co-occurrence, and severity of symptoms. Bipolar disorder (BD) is notable among these diagnoses for manic, depressive, and psychotic symptoms all being core features. Here, we trace current understanding of the neurobiological origins of BD and related diagnoses. To provide context, we begin by exploring the historical origins of psychiatric taxonomy. We then illustrate how key discoveries in pharmacology and neuroscience gave rise to a generation of neurobiological hypotheses about the origins of these disorders that facilitated therapeutic innovation but failed to explain disease pathogenesis. Lastly, we examine the extent to which genetics has succeeded in filling this void and contributing to the construction of an objective classification of psychiatric disturbance.
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Affiliation(s)
- Alexander W Charney
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
- Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters Veterans Affairs Medical Center, Bronx, NY, 10468, USA.
| | - Niamh Mullins
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - You Jeong Park
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Jonathan Xu
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
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119
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Gene expression changes associated with trajectories of psychopathology in a longitudinal cohort of children and adolescents. Transl Psychiatry 2020; 10:99. [PMID: 32184383 PMCID: PMC7078305 DOI: 10.1038/s41398-020-0772-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 02/14/2020] [Accepted: 02/27/2020] [Indexed: 12/02/2022] Open
Abstract
We aimed to identify blood gene expression patterns associated to psychopathological trajectories retrieved from a large community, focusing on the emergence and remission of general psychiatric symptoms. Hundred and three individuals from the Brazilian High-Risk Cohort Study (BHRCS) for mental disorders were classified in four groups according to Child Behavior Checklist (CBCL) total score at the baseline (w0) and after 3 years (w1): low-high (L-H) (N = 27), high-low (H-L) (N = 12), high-high (H-H) (N = 34) and low-low (L-L) groups (N = 30). Blood gene expression profile was measured using Illumina HT-12 Beadchips, and paired analyses comparing w0 and w1 were performed for each group. Results: 98 transcripts were differentially expressed comparing w0 and w1 in the L-H, 33 in the H-L, 177 in the H-H and 273 in the L-L. Of these, 66 transcripts were differentially expressed exclusively in the L-H; and 6 only in the H-L. Cross-Lagged Panel Models analyses revealed that RPRD2 gene expression at w1 might be influenced by the CBCL score at w0. Moreover, COX5B, SEC62, and NDUFA2 were validated with another technique and were also differentially regulated in postmortem brain of subjects with mental disorders, indicating that they might be important not only to specific disorders, but also to general psychopathology and symptoms trajectories. Whereas genes related to metabolic pathways seem to be associated with the emergence of psychiatric symptoms, mitochondrial inner membrane genes might be important over the course of normal development. These results suggest that changes in gene expression can be detected in blood in different psychopathological trajectories.
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120
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Putt S, Yanes T, Meiser B, Kaur R, Fullerton JM, Barlow-Stewart K, Schofield PR, Toma C, Peay H, Mitchell PB. Exploration of experiences with and understanding of polygenic risk scores for bipolar disorder. J Affect Disord 2020; 265:342-350. [PMID: 32090758 DOI: 10.1016/j.jad.2020.01.037] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Revised: 11/27/2019] [Accepted: 01/11/2020] [Indexed: 01/04/2023]
Abstract
BACKGROUND Polygenic risk scores (PRSs) summarise genetic risk in complex genetic disorders such as bipolar disorder (BD). The aim of this study was to gain in-depth, nuanced information regarding the understanding and experience of receiving a PRS for BD from individuals who already have a BD diagnosis. METHODS Participants from a previous genetics study were invited to receive their PRS in a face-to-face consultation with a genetic counsellor or psychiatrist. Four weeks later, semi-structured interviews were conducted, with 14 'acceptors' (those who chose to receive their PRS) and 4 'decliners' (those who did not wish to receive their PRS). RESULTS Four themes were developed: (1) An easy decision, (2) A positive experience, (3) The grey area, and (4) The future is exciting and frightening. Despite some reported initial shock and distress, all acceptors described the experience of receiving their PRS as a positive one. It allowed them to better understand their condition and/or reduced feelings of self-blame. Decliners chose not to receive their results because of a lack of perceived usefulness or concern that PRS may hinder personal recovery. LIMITATIONS Given the qualitative design of the study, statistically valid generalisations cannot be undertaken, nor can causal relationships be established. CONCLUSIONS PRS for BD were generally well accepted and understood. Knowledge regarding the impact of PRS for BD ensures that counselling frameworks are responsive to patient needs as well as informing education for psychiatrists and genetic counsellors, who will play pivotal roles in future polygenic testing provision.
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Affiliation(s)
- Sophie Putt
- University of New South Wales Medicine, Sydney, NSW 2052, Australia.
| | - Tatiane Yanes
- Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2052, Australia
| | - Bettina Meiser
- Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2052, Australia
| | - Rajneesh Kaur
- Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2052, Australia
| | - Janice M Fullerton
- Neuroscience Research Australia, Randwick, Sydney, NSW 2031, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Kristine Barlow-Stewart
- Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2000, Australia
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, Sydney, NSW 2031, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Claudio Toma
- Neuroscience Research Australia, Randwick, Sydney, NSW 2031, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Holly Peay
- National Human Genome Research Institute, Bethesda, United States
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW 2052, Australia; Black Dog Institute, Prince of Wales Hospital, Sydney, NSW 2052, Australia
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121
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Gordovez FJA, McMahon FJ. The genetics of bipolar disorder. Mol Psychiatry 2020; 25:544-559. [PMID: 31907381 DOI: 10.1038/s41380-019-0634-7] [Citation(s) in RCA: 136] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 11/22/2019] [Accepted: 12/11/2019] [Indexed: 12/11/2022]
Abstract
Bipolar disorder (BD) is one of the most heritable mental illnesses, but the elucidation of its genetic basis has proven to be a very challenging endeavor. Genome-Wide Association Studies (GWAS) have transformed our understanding of BD, providing the first reproducible evidence of specific genetic markers and a highly polygenic architecture that overlaps with that of schizophrenia, major depression, and other disorders. Individual GWAS markers appear to confer little risk, but common variants together account for about 25% of the heritability of BD. A few higher-risk associations have also been identified, such as a rare copy number variant on chromosome 16p11.2. Large scale next-generation sequencing studies are actively searching for other alleles that confer substantial risk. As our understanding of the genetics of BD improves, there is growing optimism that some clear biological pathways will emerge, providing a basis for future studies aimed at molecular diagnosis and novel therapeutics.
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Affiliation(s)
- Francis James A Gordovez
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA.,College of Medicine, University of the Philippines Manila, 1000, Ermita, Manila, Philippines
| | - Francis J McMahon
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA.
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Foucher JR, Gawlik M, Roth JN, de Crespin de Billy C, Jeanjean LC, Obrecht A, Mainberger O, Clauss JME, Elowe J, Weibel S, Schorr B, Cetkovich M, Morra C, Rebok F, Ban TA, Bollmann B, Roser MM, Hanke MS, Jabs BE, Franzek EJ, Berna F, Pfuhlmann B. Wernicke-Kleist-Leonhard phenotypes
of endogenous psychoses: a review of their validity
. DIALOGUES IN CLINICAL NEUROSCIENCE 2020; 22:37-49. [PMID: 32699504 PMCID: PMC7365293 DOI: 10.31887/dcns.2020.22.1/jfoucher] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
While the ICD-DSM paradigm has been a major advance in clinical psychiatry, its usefulness for biological psychiatry is debated. By defining consensus-based disorders rather than empirically driven phenotypes, consensus classifications were not an implementation of the biomedical paradigm. In the field of endogenous psychoses, the Wernicke-Kleist-Leonhard (WKL) pathway has optimized the descriptions of 35 major phenotypes using common medical heuristics on lifelong diachronic observations. Regarding their construct validity, WKL phenotypes have good reliability and predictive and face validity. WKL phenotypes come with remarkable evidence for differential validity on age of onset, familiality, pregnancy complications, precipitating factors, and treatment response. Most impressive is the replicated separation of high- and low-familiality phenotypes. Created in the purest tradition of the biomedical paradigm, the WKL phenotypes deserve to be contrasted as credible alternatives with other approaches currently under discussion.
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Affiliation(s)
- Jack R Foucher
- ICube - CNRS UMR 7357, neurophysiology, FMTS, University of Strasbourg, France ; CEMNIS - Noninvasive Neuromodulation Center, University Hospital Strasbourg, France
| | - Micha Gawlik
- Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Julian N Roth
- Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Clément de Crespin de Billy
- ICube - CNRS UMR 7357, neurophysiology, FMTS, University of Strasbourg, France; CEMNIS - Noninvasive Neuromodulation Center, University Hospital Strasbourg, France
| | - Ludovic C Jeanjean
- IICube - CNRS UMR 7357, neurophysiology, FMTS, University of Strasbourg, France; CEMNIS - Noninvasive Neuromodulation Center, University Hospital Strasbourg, France
| | - Alexandre Obrecht
- ICube - CNRS UMR 7357, neurophysiology, FMTS, University of Strasbourg, France; Pôle de Psychiatrie, Santé Mentale et Addictologie, University Hospital Strasbourg, France
| | - Olivier Mainberger
- ICube - CNRS UMR 7357, neurophysiology, FMTS, University of Strasbourg, France. CEMNIS - Noninvasive Neuromodulation Center, University Hospital Strasbourg, France
| | - Julie M E Clauss
- Pôle de Psychiatrie, Santé Mentale et Addictologie, University Hospital Strasbourg, France. SAGE - CNRS UMR 7363, FMTS, University of Strasbourg, France
| | - Julien Elowe
- Department of Psychiatry, Prangins Psychiatric Hospital (CHUV), Route de Benex, Prangins, Switzerland
| | - Sébastien Weibel
- IPôle de Psychiatrie, Santé Mentale et Addictologie, University Hospital Strasbourg, France; Physiopathologie et Psychopathologie Cognitive de la Schizophrénie - INSERM 1114, FMTS, University of Strasbourg, France
| | - Benoit Schorr
- Pôle de Psychiatrie, Santé Mentale et Addictologie, University Hospital Strasbourg, France; Physiopathologie et Psychopathologie Cognitive de la Schizophrénie - INSERM 1114, FMTS, University of Strasbourg, France
| | - Marcelo Cetkovich
- Institute of Translational and Cognitive Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Carlos Morra
- ICube - CNRS UMR 7357, neurophysiology, FMTS, University of StInstitute of Translational and Cognitive Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Sanatorio Morra, Córdoba, Argentina
| | - Federico Rebok
- "Servicio de Emergencia", Acute Inpatient Unit, Moyano Neuropsychiatric Hospital, Buenos Aires, Argentina
| | - Thomas A Ban
- International Network for the History of Neuropsychopharmacology (INHN), Córdoba, Argentina
| | - Barbara Bollmann
- Klinik für Psychiatrie, Psychotherapie und Psychosomatik, Berlin, Germany
| | - Mathilde M Roser
- Department of Psychiatry, Mondor Hospital France, Creteil, France
| | - Markus S Hanke
- Universitäre psychiatrische Dienste Bern, Spiez, Switzerland
| | - Burkhard E Jabs
- Klinik für Psychiatrie and Psychotherapie, Städtisches Klinikum Dresden, Dresden, Germany
| | - Ernst J Franzek
- Yes We Can Clinics, Department of Research and Development, Eindhoven, The Netherlands
| | - Fabrice Berna
- Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany; Department of Psychiatry, Prangins Psychiatric Hospital (CHUV), Route de Benex, Prangins, Switzerland
| | - Bruno Pfuhlmann
- IKlinik für Psychiatrie and Psychotherapie, Städtisches Klinikum Dresden, Dresden, Germany
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Mood Disorders. Fam Med 2020. [DOI: 10.1007/978-1-4939-0779-3_33-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Picardi A, Pallagrosi M, Fonzi L, Martinotti G, Caroppo E, Meldolesi GN, Di Gennaro G, De Risi M, Biondi M. Attachment in Patients with Bipolar and Unipolar Depression: A Comparison with Clinical and Non-clinical Controls. Clin Pract Epidemiol Ment Health 2019; 15:143-152. [PMID: 32174996 PMCID: PMC7040468 DOI: 10.2174/1745017901915010143] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 11/25/2019] [Accepted: 11/26/2019] [Indexed: 01/20/2023]
Abstract
Background A link between depression and insecure attachment has long been postulated. Although many studies examined the relationship between depressive symptoms and attachment, relatively few studies were performed on patients diagnosed with depression. Also, research on patients with bipolar disorder is scarce. Objective We aimed at testing the association between attachment insecurity and unipolar and bipolar depression. Methods We studied 21 patients with bipolar disorder, current episode depressed, and three age- and sex-matched groups, each consisting of 21 individuals: patients with major depressive disorder, recurrent episode; patients with epilepsy; non-clinical participants. The Experience in Close Relationships questionnaire was used to assess adult attachment style. Results Patients with both bipolar and unipolar depression displayed significantly higher scores on attachment-related avoidance as compared with patients with epilepsy and non-clinical participants. Also, patients with bipolar depression scored significantly higher on attachment-related anxiety than all other groups. In both psychiatric groups, attachment dimensions were not significantly correlated with global clinical severity or severity of depression. Conclusion Despite some study limitations, our results are consistent with some previous studies and provide support to Bowlby's seminal hypothesis that attachment insecurity may predispose to depression. Attachment theory may provide a valuable theoretical framework for future research and for guiding treatment.
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Affiliation(s)
- Angelo Picardi
- Centre of Behavioural Sciences and Mental Health, Italian National Institute of Health, Rome, Italy
| | - Mauro Pallagrosi
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | | | - Giovanni Martinotti
- Department of Neuroscience and Imaging, University "G.d'Annunzio", Chieti, Italy
| | - Emanuele Caroppo
- Department of Mental Health, Rome 2 Local Health Unit, Catholic University of Sacred Heart, Rome, Italy
| | - Giulio Nicolò Meldolesi
- "Neurone" Foundation for Research in Neuropsychobiology and Clinical Neurosciences, Rome, Italy
| | | | - Marco De Risi
- Epilepsy Surgery Unit, IRCCS Neuromed, Pozzilli, Italy
| | - Massimo Biondi
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
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Fortinguerra S, Sorrenti V, Giusti P, Zusso M, Buriani A. Pharmacogenomic Characterization in Bipolar Spectrum Disorders. Pharmaceutics 2019; 12:E13. [PMID: 31877761 PMCID: PMC7022469 DOI: 10.3390/pharmaceutics12010013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 12/14/2019] [Accepted: 12/19/2019] [Indexed: 12/15/2022] Open
Abstract
The holistic approach of personalized medicine, merging clinical and molecular characteristics to tailor the diagnostic and therapeutic path to each individual, is steadily spreading in clinical practice. Psychiatric disorders represent one of the most difficult diagnostic challenges, given their frequent mixed nature and intrinsic variability, as in bipolar disorders and depression. Patients misdiagnosed as depressed are often initially prescribed serotonergic antidepressants, a treatment that can exacerbate a previously unrecognized bipolar condition. Thanks to the use of the patient's genomic profile, it is possible to recognize such risk and at the same time characterize specific genetic assets specifically associated with bipolar spectrum disorder, as well as with the individual response to the various therapeutic options. This provides the basis for molecular diagnosis and the definition of pharmacogenomic profiles, thus guiding therapeutic choices and allowing a safer and more effective use of psychotropic drugs. Here, we report the pharmacogenomics state of the art in bipolar disorders and suggest an algorithm for therapeutic regimen choice.
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Affiliation(s)
- Stefano Fortinguerra
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35131 Padova, Italy; (S.F.); (V.S.)
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; (P.G.); (M.Z.)
| | - Vincenzo Sorrenti
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35131 Padova, Italy; (S.F.); (V.S.)
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; (P.G.); (M.Z.)
- Bendessere™ Study Center, Solgar Italia Multinutrient S.p.A., 35131 Padova, Italy
| | - Pietro Giusti
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; (P.G.); (M.Z.)
| | - Morena Zusso
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; (P.G.); (M.Z.)
| | - Alessandro Buriani
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35131 Padova, Italy; (S.F.); (V.S.)
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; (P.G.); (M.Z.)
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de Nooij L, Harris MA, Hawkins EL, Clarke TK, Shen X, Chan SWY, Ziermans TB, McIntosh AM, Whalley HC. Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder. Wellcome Open Res 2019; 4:206. [PMID: 32954013 PMCID: PMC7479500 DOI: 10.12688/wellcomeopenres.15617.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2019] [Indexed: 11/14/2023] Open
Abstract
Background: Within young individuals, mood disorder onset may be related to changes in trajectory of brain structure development. To date, however, longitudinal prospective studies remain scarce and show partly contradictory findings, with a lack of emphasis on changes at the level of global brain patterns. Cross-sectional adult studies have applied such methods and show that mood disorders are associated with accelerated brain ageing. Currently, it remains unclear whether young individuals show differential brain structure ageing trajectories associated with onset of mood disorder and/or presence of familial risk. Methods: Participants included young individuals (15-30 years, 53%F) from the prospective longitudinal Scottish Bipolar Family Study with and without close family history of mood disorder. All were well at time of recruitment. Implementing a structural MRI-based brain age prediction model, we globally assessed individual trajectories of age-related structural change using the difference between predicted brain age and chronological age (brain-predicted age difference (brain-PAD)) at baseline and at 2-year follow-up. Based on follow-up clinical assessment, individuals were categorised into three groups: (i) controls who remained well (C-well, n = 93), (ii) high familial risk who remained well (HR-well, n = 74) and (iii) high familial risk who developed a mood disorder (HR-MD, n = 35). Results: At baseline, brain-PAD was comparable between groups. Results showed statistically significant negative trajectories of brain-PAD between baseline and follow-up for HR-MD versus C-well ( β = -0.60, p corrected < 0.001) and HR-well ( β = -0.36, p corrected = 0.02), with a potential intermediate trajectory for HR-well ( β = -0.24 years, p corrected = 0.06). Conclusions: These preliminary findings suggest that within young individuals, onset of mood disorder and familial risk may be associated with a deceleration in brain structure ageing trajectories. Extended longitudinal research will need to corroborate findings of emerging maturational lags in relation to mood disorder risk and onset.
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Affiliation(s)
- Laura de Nooij
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Emma L. Hawkins
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Xueyi Shen
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Stella W. Y. Chan
- Section of Clinical Psychology, University of Edinburgh, Edinburgh, UK
| | - Tim B. Ziermans
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
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Clinical, cortical thickness and neural activity predictors of future affective lability in youth at risk for bipolar disorder: initial discovery and independent sample replication. Mol Psychiatry 2019; 24:1856-1867. [PMID: 31628415 PMCID: PMC6814510 DOI: 10.1038/s41380-018-0273-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 07/31/2018] [Accepted: 09/07/2018] [Indexed: 01/02/2023]
Abstract
We aimed to identify markers of future affective lability in youth at bipolar disorder risk from the Pittsburgh Bipolar Offspring Study (BIOS) (n = 41, age = 14, SD = 2.30), and validate these predictors in an independent sample from the Longitudinal Assessment of Manic Symptoms study (LAMS) (n = 55, age = 13.7, SD = 1.9). We included factors of mixed/mania, irritability, and anxiety/depression (29 months post MRI scan) in regularized regression models. Clinical and demographic variables, along with neural activity during reward and emotion processing and gray matter structure in all cortical regions at baseline, were used to predict future affective lability factor scores, using regularized regression. Future affective lability factor scores were predicted in both samples by unique combinations of baseline neural structure, function, and clinical characteristics. Lower bilateral parietal cortical thickness, greater left ventrolateral prefrontal cortex thickness, lower right transverse temporal cortex thickness, greater self-reported depression, mania severity, and age at scan predicted greater future mixed/mania factor score. Lower bilateral parietal cortical thickness, greater right entorhinal cortical thickness, greater right fusiform gyral activity during emotional face processing, diagnosis of major depressive disorder, and greater self-reported depression severity predicted greater irritability factor score. Greater self-reported depression severity predicted greater anxiety/depression factor score. Elucidating unique clinical and neural predictors of future-specific affective lability factors is a step toward identifying objective markers of bipolar disorder risk, to provide neural targets to better guide and monitor early interventions in bipolar disorder at-risk youth.
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Dong R, Stefan G, Horrocks J, Goodday SM, Duffy A. Investigating the association between anxiety symptoms and mood disorder in high-risk offspring of bipolar parents: a comparison of Joint and Cox models. Int J Bipolar Disord 2019; 7:22. [PMID: 31624932 PMCID: PMC6797685 DOI: 10.1186/s40345-019-0157-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 08/14/2019] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Anxiety is associated with mood disorders including bipolar disorder. Two statistical modelling frameworks were compared to investigate the longitudinal relationship between repeatedly measured anxiety symptoms and the onset of depression and bipolar disorder in youth at confirmed familial risk. METHODS Prospectively collected data on 156 offspring of a parent with confirmed bipolar disorder participating in the Canadian Flourish high-risk offspring longitudinal cohort study were used for this analysis. As part of the research protocol at approximately yearly visits, a research psychiatrist completed the HAM-A and a semi-structured diagnostic research interview following KSADS-PL format. Diagnoses using DSM-IV criteria were made on blind consensus review of all available clinical information. We investigated two statistical approaches, Cox model and Joint model, to evaluate the relationship between repeated HAM-A scores and the onset of major depressive or bipolar disorder. The Joint model estimates the trajectory of the longitudinal variable using a longitudinal sub-model and incorporates this estimated trajectory into a Cox sub-model. RESULTS There was evidence of an increased hazard of major mood disorder for high-risk individuals with higher HAM-A scores under both modelling frameworks. After adjusting for other covariates, a one-unit increase in log-transformed HAM-A score was associated with a hazard ratio of 1.74 (95% CI (1.12, 2.72)) in the Cox model compared to 2.91(95% CI (1.29, 6.52)) in the Joint model. In an exploratory analysis there was no evidence that family clustering substantially affected the conclusions. CONCLUSIONS Estimated effects from the conventional Cox model, which is often the model of choice, were dramatically lower in this dataset, compared to the Joint model. While the Cox model is often considered the approach of choice for analysis, research has shown that the Joint model may be more efficient and less biased. Our analysis based on a Joint model suggests that the magnitude of association between anxiety and mood disorder in individuals at familial risk of developing bipolar disorder may be stronger than previously reported.
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Affiliation(s)
- Ruoxi Dong
- Department of Mathematics and Statistics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1 Canada
| | - George Stefan
- Department of Mathematics and Statistics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1 Canada
| | - Julie Horrocks
- Department of Mathematics and Statistics, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1 Canada
| | - Sarah M. Goodday
- Department of Psychiatry, University of Oxford, Warneford Ln, Oxford, OX3 7JX UK
| | - Anne Duffy
- Department of Psychiatry, Queen’s University, 99 University Ave, Kingston, ON K7L 3N6 Canada
- Visiting Fellow, All Souls College, University of Oxford, High Street, Oxford, OX1 4AL UK
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Abstract
PURPOSE OF REVIEW This article discusses the prevalence of the major mood disorders (major depressive disorder and bipolar disorder) in the community and within neurologic settings, articulates the steps taken to make a diagnosis of major depressive disorder or bipolar disorder, and reviews old and newer treatment options with proven efficacy for the treatment of these two conditions. RECENT FINDINGS New medications are available as treatment options for major depressive disorder and bipolar disorder, such as intranasal and IV ketamine, and somatic treatments, such as deep brain stimulation and vagal nerve stimulators, are being used to target treatment-resistant depression. SUMMARY Mood disorders are common in neurologic settings. They are disabling and increase morbidity and mortality. Clinicians should have a high index of suspicion if they suspect their patients seem more distressed or incapacitated than would be warranted by their neurologic disorders. If a patient does have a mood disorder, validating the patient's experience, initiating treatment, and, if necessary, referring the patient to a primary care physician or psychiatrist are appropriate steps.
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Genetic Predisposition and Disease Expression of Bipolar Disorder Reflected in Shape Changes of the Anterior Limbic Network. Brain Sci 2019; 9:brainsci9090240. [PMID: 31546815 PMCID: PMC6770562 DOI: 10.3390/brainsci9090240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 09/13/2019] [Accepted: 09/16/2019] [Indexed: 11/17/2022] Open
Abstract
Bipolar disorder (BD) is a genetically and phenotypically complex psychiatric disease. Although previous studies have suggested that the relatives of BD patients have an increased risk of experiencing affective disturbances, most relatives who have similar genotypes may not manifest the disorder. We aim to identify the neuroimaging alterations—specifically, the cortical folding structures of the anterior limbic network (ALN)—in BD patients and their siblings, compared to healthy controls. The shared alterations in patients and their siblings may indicate the hereditary predisposition of BD, and the altered cortical structures unique to BD patients may be a probe of BD expression. High-resolution, T1-weighted magnetic resonance images for 17 euthymic patients with BD, 17 unaffected siblings of BD patients, and 22 healthy controls were acquired. We categorized the cortical regions within the ALN into sulcal and gyral areas, based on the shape index, followed by the measurement of the folding degree, using the curvedness. Our results revealed that the changes in cortical folding in the orbitofrontal and temporal regions were associated with a hereditary predisposition to BD. Cortical folding structures in multiple regions of the ALN, particularly in the striatal–thalamic circuit and anterior cingulate cortex, could be used to differentiate BD patients from healthy controls and unaffected siblings. We concluded that the cortical folding structures of ALN can provide potential biomarkers for clinical diagnosis of BD and differentiation from the unaffected siblings.
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131
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Baseline and follow-up activity and functional connectivity in reward neural circuitries in offspring at risk for bipolar disorder. Neuropsychopharmacology 2019; 44:1570-1578. [PMID: 30755725 PMCID: PMC6785101 DOI: 10.1038/s41386-019-0339-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Revised: 01/19/2019] [Accepted: 02/06/2019] [Indexed: 12/15/2022]
Abstract
Bipolar disorder (BD) is a serious psychiatric illness with demonstrated abnormalities in reward processing circuitry. Examining this circuitry in youth at familial risk for BD may provide further insight into the underlying mechanisms of BD development. In this study, we compared offspring of bipolar parents (OBP, n = 32), offspring of comparison parents with non-BD psychopathology (OCP, n = 36), and offspring of healthy parents (OHP, n = 39) during a functional magnetic resonance imaging reward processing task. Elastic net regression analyses identified 26 activity, functional connectivity (FC), and demographic variables that explained 34.24% of the variance in group (λ = 0.224). ANOVA and post-hoc analyses revealed that OBP had significantly lower right ventral striatum-left caudal anterior cingulate FC to loss (OBP versus OCP: p = 0.028, OBP versus OHP: p = 0.015) and greater right pars orbitalis-left (OBP versus OCP: p = 0.003, OBP versus OHP: p = 0.036) and -right (OBP versus OCP: p = 0.001, OBP versus OHP: p = 0.038) orbitofrontal cortex FC to reward versus OCP and OHP, respectively. These findings were not affected by non-BD psychopathology, psychotropic medication use, or symptomatology. There were no changes in, or relationships between, neuroimaging or symptom measures at follow-up (mean(SD) = 2.70(1.22) year inter-scan interval) in a subset of youth with follow-up data (OBP, n = 14; OCP, n = 8; OHP, n = 19). These findings suggest that lower right ventral striatum-left caudal anterior cingulate FC to loss and greater right pars orbitalis-orbitofrontal cortex FC to reward may be trait-level neural markers that may reflect risk for BD in at-risk youth. These findings comprise important steps toward identifying neural markers of BD risk, which may enhance early identification and guide interventions for youth at familial risk for BD.
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Sadana D, Gupta RK, Jain S, Kumaran SS, G S R, Thennarasu K, Rajeswaran J. Neurocognitive profile of patients with Bipolar Affective Disorder in the euthymic phase. Asian J Psychiatr 2019; 44:121-126. [PMID: 31369947 DOI: 10.1016/j.ajp.2019.07.037] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2018] [Revised: 07/20/2019] [Accepted: 07/23/2019] [Indexed: 01/16/2023]
Abstract
UNLABELLED Bipolar disorder is a chronic psychiatric condition characterized by episodes of elevated/irritable and depressed moods resulting in the loss of more disability-adjusted life years (DALYs) than other major conditions. The neurocognitive impairments in these patients interfere with sustained goal-directed performance and achievement even during the euthymic phase of the illness. METHODOLOGY The study aimed to explore the neurocognitive profile of patients in their euthymic phase. We matched 30 patients diagnosed with Bipolar Affective Disorder (BD) in the age range of 20-40 years with 30 healthy controls (with no axis I or II diagnosis, assessed on MINI) matched on age, gender, and education. The neurocognitive profile was assessed using NIMHANS Neuropsychology Battery. RESULTS Euthymic phase patients with bipolar disorder had statistically significant low scores on the speed of processing information as compared to healthy controls. Although impaired in BD group, no statistically significant difference was found between the two groups on executive functions and memory. CONCLUSION The findings of the study suggest that cognitive retraining aimed at ameliorating these deficits can be a used as an essential intervention in rehabilitation programs to successfully reintegrate patients with the bipolar affective disorder into the society. The research also indicates that despite the symptomatic recovery between the episodes, impairments in the speed of processing information continue to disrupt performance in patients with Bipolar Disorder.
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Affiliation(s)
- Divya Sadana
- Mazumdar Shaw Center, Narayana Health City, Bengaluru, India
| | - Rajnish Kumar Gupta
- Department of Clinical Psychology, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, India
| | - Sanjeev Jain
- Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, India
| | - S Senthil Kumaran
- Department of NMR & MRI Facility, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Ravi G S
- Department of Biostatistics, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, India
| | - K Thennarasu
- Department of Biostatistics, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, India
| | - Jamuna Rajeswaran
- Department of Clinical Psychology, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, India.
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Nascimento C, Nunes VP, Diehl Rodriguez R, Takada L, Suemoto CK, Grinberg LT, Nitrini R, Lafer B. A review on shared clinical and molecular mechanisms between bipolar disorder and frontotemporal dementia. Prog Neuropsychopharmacol Biol Psychiatry 2019; 93:269-283. [PMID: 31014945 PMCID: PMC6994228 DOI: 10.1016/j.pnpbp.2019.04.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 04/15/2019] [Accepted: 04/18/2019] [Indexed: 12/12/2022]
Abstract
Mental disorders are highly prevalent and important causes of medical burden worldwide. Co-occurrence of neurological and psychiatric symptoms are observed among mental disorders, representing a challenge for their differential diagnosis. Psychiatrists and neurologists have faced challenges in diagnosing old adults presenting behavioral changes. This is the case for early frontotemporal dementia (FTD) and bipolar disorder. In its initial stages, FTD is characterized by behavioral or language disturbances in the absence of cognitive symptoms. Consequently, patients with the behavioral subtype of FTD (bv-FTD) can be initially misdiagnosed as having a psychiatric disorder, typically major depression disorder (MDD) or bipolar disorder (BD). Bipolar disorder is associated with a higher risk of dementia in older adults and with cognitive impairment, with a subset of patients presents a neuroprogressive pattern during the disease course. No mendelian mutations were identified in BD, whereas three major genetic causes of FTD have been identified. Clinical similarities between BD and bv-FTD raise the question whether common molecular pathways might explain shared clinical symptoms. Here, we reviewed existing data on clinical and molecular similarities between BD and FTD to propose biological pathways that can be further investigated as common or specific markers of BD and FTD.
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Affiliation(s)
- Camila Nascimento
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil.
| | - Villela Paula Nunes
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil.
| | - Roberta Diehl Rodriguez
- Behavioral and Cognitive Neurology Unit, Department of Neurology and LIM 22, University of São Paulo, São Paulo 05403-900, Brazil
| | - Leonel Takada
- Behavioral and Cognitive Neurology Unit, Department of Neurology, University of São Paulo, São Paulo 05403-900, Brazil
| | - Cláudia Kimie Suemoto
- Division of Geriatrics, LIM-22, University of São Paulo Medical School, São Paulo 01246-90, Brazil
| | - Lea Tenenholz Grinberg
- Department of Pathology, LIM-22, University of São Paulo Medical School, São Paulo 01246-90, Brazil; Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94143-120, USA.
| | - Ricardo Nitrini
- Behavioral and Cognitive Neurology Unit, Department of Neurology, University of São Paulo, São Paulo 05403-900, Brazil
| | - Beny Lafer
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
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Moreno-Salinas AL, Avila-Zozaya M, Ugalde-Silva P, Hernández-Guzmán DA, Missirlis F, Boucard AA. Latrophilins: A Neuro-Centric View of an Evolutionary Conserved Adhesion G Protein-Coupled Receptor Subfamily. Front Neurosci 2019; 13:700. [PMID: 31354411 PMCID: PMC6629964 DOI: 10.3389/fnins.2019.00700] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 06/20/2019] [Indexed: 12/21/2022] Open
Abstract
The adhesion G protein-coupled receptors latrophilins have been in the limelight for more than 20 years since their discovery as calcium-independent receptors for α-latrotoxin, a spider venom toxin with potent activity directed at neurotransmitter release from a variety of synapse types. Latrophilins are highly expressed in the nervous system. Although a substantial amount of studies has been conducted to describe the role of latrophilins in the toxin-mediated action, the recent identification of endogenous ligands for these receptors helped confirm their function as mediators of adhesion events. Here we hypothesize a role for latrophilins in inter-neuronal contacts and the formation of neuronal networks and we review the most recent information on their role in neurons. We explore molecular, cellular and behavioral aspects related to latrophilin adhesion function in mice, zebrafish, Drosophila melanogaster and Caenorhabditis elegans, in physiological and pathophysiological conditions, including autism spectrum, bipolar, attention deficit and hyperactivity and substance use disorders.
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Affiliation(s)
- Ana L. Moreno-Salinas
- Department of Cell Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
| | - Monserrat Avila-Zozaya
- Department of Cell Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
| | - Paul Ugalde-Silva
- Department of Cell Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
| | - David A. Hernández-Guzmán
- Department of Physiology, Biophysics and Neurosciences, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
| | - Fanis Missirlis
- Department of Physiology, Biophysics and Neurosciences, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
| | - Antony A. Boucard
- Department of Cell Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
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135
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Increased serum levels of leptin and insulin in both schizophrenia and major depressive disorder: A cross-disorder proteomics analysis. Eur Neuropsychopharmacol 2019; 29:835-846. [PMID: 31230885 DOI: 10.1016/j.euroneuro.2019.05.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 03/15/2019] [Accepted: 05/29/2019] [Indexed: 12/12/2022]
Abstract
We investigated whether there are similar serum alterations in schizophrenia and major depressive disorder (MDD). We investigated serum analytes in two epidemiological studies on schizophrenia (N = 121) and MDD (N = 1172) versus controls. Serum analytes (N = 109) were measured with a multi-analyte profiling platform and analysed using linear regression models, adjusted for site, age, gender, ethnicity, anti-inflammatory agents, smoking, cardiovascular disease and diabetes, and adjusted for multiple comparisons. An increase in leptin and insulin levels was observed for both schizophrenia patients (Cohen's d (d): 0.26 and 0.65, respectively) and MDD patients (d: 0.29 and 0.12, respectively) compared to their respective controls. Lower angiopoietin-2 levels were seen in both schizophrenia (d: -0.22) and MDD (d: -0.13). Four analytes differed in only schizophrenia patients (increased levels of C-peptide and prolactin, and decreased levels of CD5 antigen-like and sex hormone binding globulin) and one analyte differed in only MDD patients (increased angiotensinogen levels) compared to their respective controls. Restricting analyses to patients with a current episode of disease showed even more marked elevations of insulin and leptin. Our results suggest the presence of insulin and leptin resistance as cross-disorder mechanisms that could contribute to the higher somatic comorbidity and decreased life-span seen in both disorders.
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136
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Abstract
PURPOSE OF REVIEW Familial predisposition to bipolar disorder is associated with increased risk of affective morbidity in the first-degree relatives of patients. Nevertheless, a substantial proportion of relatives remain free of psychopathology throughout their lifetime. A series of studies reviewed here were designed to test whether resilience in these high-risk individuals is associated with adaptive brain plasticity. RECENT FINDINGS The findings presented here derive from structural and functional magnetic resonance imaging data obtained from patients, their resilient first-degree relatives, and healthy individuals. Patients and relatives showed similar abnormalities in activation and connectivity while performing tasks of interference control and facial affect recognition and in the resting-state connectivity of sensory and motor regions. Resilient relatives manifested unique neuroimaging features that differentiated them from patients and healthy individuals. Specifically, they had larger cerebellar vermis volume, enhanced prefrontal connectivity during task performance, and enhanced functional integration of the default mode network in task-free conditions. Resilience to bipolar disorder is not the reverse of risk but is associated with adaptive brain changes indicative of increased neural reserve. This line of research may open new avenues in preventing and treating bipolar disorder.
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Affiliation(s)
- Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY, 10029, USA.
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137
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Gonzalez S, Villa E, Rodriguez M, Ramirez M, Zavala J, Armas R, Dassori A, Contreras J, Raventós H, Flores D, Jerez A, Ontiveros A, Nicolini H, Escamilla M. Fine-mapping scan of bipolar disorder susceptibility loci in Latino pedigrees. Am J Med Genet B Neuropsychiatr Genet 2019; 180:213-222. [PMID: 30779416 DOI: 10.1002/ajmg.b.32715] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 12/27/2018] [Accepted: 01/28/2019] [Indexed: 11/11/2022]
Abstract
We previously identified bipolar disorder (BD) susceptibility loci on 8q24, 14q32, and 2q12-14 in a genome-wide nonparametric linkage screen in a Latino cohort. We now perform a fine mapping analysis using a dense map of additional SNPs to identify BD susceptibility genes within these regions. One thousand nine hundred and thirty-eight individuals with Latino ancestry (880 individuals with BD Type I or Schizoaffective, Bipolar Type) from 416 Latino pedigrees from the United States, Mexico, Costa Rica, and Guatemala were genotyped with 3,074 SNPs to provide dense coverage of the 8q24 (11.5 cM), 14q32 (7.5 cM), and 2q12-14 (6.5 cM) chromosomal loci. Single-marker association tests in the presence of linkage were performed using the LAMP software. The top linkage peak (rs7834818; LOD = 5.08, p = 3.30E - 5) and associated single marker (rs2280915, p = 2.70E - 12) were located within FBXO32 on 8q24. On chromosome 2, the top linkage peak (rs6750326; LOD = 5.06, p = 3.50E - 5) and associated single marker (rs11887088, p = 2.90E - 6) were located in intragenic regions near ACTR3 and DPP10. None of the additional markers in the region around chromosome 14q32 met significance levels for linkage or association. We identified six SNPs on 2q12-q14 and one SNP in FBXO32 on 8q24 that were significantly associated with BD in this Latino cohort.
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Affiliation(s)
- Suzanne Gonzalez
- Center of Emphasis in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas.,Departments of Psychiatry and Pharmacology, Penn State College of Medicine, Hershey, Pennsylvania
| | - Erika Villa
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Marco Rodriguez
- Center of Emphasis in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas
| | - Mercedes Ramirez
- Center of Emphasis in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas.,Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas
| | - Juan Zavala
- Center of Emphasis in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas.,Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas
| | - Regina Armas
- Langley Porter Psychiatric Institute, University of California at San Francisco, San Francisco, California
| | - Albana Dassori
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas.,Department of Psychiatry, South Texas Veterans Health Care System, San Antonio, Texas
| | - Javier Contreras
- Centro de Investigación en Biología Celular y Molecular y Escuela de Biologia, Universidad de Costa Rica, San Jose, Costa Rica
| | - Henriette Raventós
- Centro de Investigación en Biología Celular y Molecular y Escuela de Biologia, Universidad de Costa Rica, San Jose, Costa Rica
| | - Deborah Flores
- Los Angeles Biomedical Research Center at Harbor, University of California Los Angeles Medical Center, Torrance, California
| | - Alvaro Jerez
- Centro Internacional de Trastornos Afectivos y de la Conducta Adictiva, Guatemala City, Guatemala
| | - Alfonso Ontiveros
- Departamento de Psiquiatria, Hospital Universitario UANL, Monterrey, Nuevo Leon, Mexico
| | - Humberto Nicolini
- Grupo de Estudios Médicos y Familiares Carracci S.C., México, Distrito Federal, Mexico.,Laboratorio de Enfermedades Psychiatricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica, México, Distrito Federal, Mexico
| | - Michael Escamilla
- Center of Emphasis in Neurosciences, Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas.,Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas
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Yang C, Li S, Ma JX, Li Y, Zhang A, Sun N, Wang Y, Xu Y, Zhang K. Whole Exome Sequencing Identifies a Novel Predisposing Gene, MAPKAP1, for Familial Mixed Mood Disorder. Front Genet 2019; 10:74. [PMID: 30828345 PMCID: PMC6384253 DOI: 10.3389/fgene.2019.00074] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 01/28/2019] [Indexed: 11/13/2022] Open
Abstract
Background: Mood disorder is ranked seventh among the worldwide causes of non-fatal disease burden and is generally believed to be a heritable disease. However, there is still a substantial portion of the heritability yet to be discovered, despite the success of genome-wide association studies (GWAS) for mood disorder. A proportion of the missing heritability may be accounted for by rare coding variants segregating in families enriched with mood disorder. Methods: To identify novel variants segregating with mood disorder, we performed whole-exome sequencing on genomic DNA for a multigenerational family with nine members affected with mood disorder. We prioritized potential causal variants within the family based on segregation with mood disorder, predicted functional effects, and prevalence in human populations. In addition, for the top-ranked candidate variant, we conducted validation in vivo to explore the pathogenesis of mood disorder. Results: We identified and ranked 26 candidate variants based on their segregation pattern and functional annotations. The top-ranked variant, rs78809014, is located in intron 7 of the MAPKAP1 gene. The expression levels of MAPKAP1 in peripheral blood of both major depression disorder (MDD) patients and depressive-like mice ventral dentate gyrus were significantly higher than that in the corresponding controls. In addition, the expression level of MAPKAP1 were correlated with antidepressant response. Conclusions: Although the exact mechanisms in the family remain to be elucidated, our data strongly indicate a probable role of the variant, rs78809014, in the regulatory process of the expression of MAPKAP1 and thus in the development of mood disorder in familial mood disorder.
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Affiliation(s)
- Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Suping Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Jack X. Ma
- McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Yi Li
- School of Statistics, Shanxi University of Finance and Economics, Taiyuan, China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- Nuring College of Shanxi Medical University, Taiyuan, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- *Correspondence: Yong Xu
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- Kerang Zhang
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139
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Liu F, Gong X, Yao X, Cui L, Yin Z, Li C, Tang Y, Wang F. Variation in the CACNB2 gene is associated with functional connectivity of the Hippocampus in bipolar disorder. BMC Psychiatry 2019; 19:62. [PMID: 30744588 PMCID: PMC6371424 DOI: 10.1186/s12888-019-2040-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Accepted: 01/28/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Calcium voltage-gated channel auxiliary subunit β2 is a protein that, in humans, is encoded by the CACNB2 gene. The β2 subunit is an auxiliary protein of voltage-gated calcium channels, which is predominantly expressed in hippocampal pyramidal neurons. A single-nucleotide polymorphism at the CACNB2 gene (rs11013860) has been reported in genome-wide association studies to be associated with bipolar disorder (BD). However, the neural effects of rs11013860 expression are unknown. Thus, the current study investigated the mechanisms of how the CACNB2 gene influences hippocampal-cortical limbic circuits in patients with bipolar disorder (BD). METHODS A total of 202 subjects were studied [69 BD patients and 133 healthy controls (HC)]. Participants agreed to undergo resting-state functional magnetic resonance imaging (rs-fMRI) and have blood drawn for genetic testing. Participants were found to belong to either a CC group homozygous for the C-allele (17 BD, 41 HC), or an A-carrier group carrying the high risk A-allele (AA/CA genotypes; 52 BD, 92 HC). Brain activity was assessed using resting-state functional connectivity (rs-FC) analyses. RESULTS A main effect of genotype showed that the rs-FC of the AA/CA group was elevated more than that of the CC-group between the hippocampus and the regions of right-inferior temporal, fusiform, and left-inferior occipital gyri. Additionally, a significant diagnosis × genotype interaction was noted between the hippocampus and right pars triangularis. Furthermore, in BD patients, the AA/CA group showed lower rs-FC when compared to that of the CC group. Additionally, individuals from HC within the AA/CA group showed higher rs-FC than that of the CC group. Finally, within C-allele-carrying groups, individuals with BD showed significantly increased rs-FC compared to that of HC. CONCLUSIONS Our study demonstrates that BD patients with the CACNB2 rs11013860 AA/CA genotype may exhibit altered hippocampal-cortical connectivity.
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Affiliation(s)
- Fang Liu
- grid.412636.4Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001 Liaoning China ,0000 0004 0369 4060grid.54549.39The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaohong Gong
- A605, Building School of Life SCiences, Songhu Road 2005, Dinstric Yangpu, Shanghai, China
| | - Xudong Yao
- grid.412636.4Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001 Liaoning China ,0000 0004 0369 4060grid.54549.39The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Lingling Cui
- grid.412636.4Department of Radiology, First Affiliated Hospital, China Medical University, Shenyang, Liaoning People’s Republic of China
| | - Zhiyang Yin
- grid.412636.4Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001 Liaoning China
| | - Chao Li
- grid.412636.4Department of Radiology, First Affiliated Hospital, China Medical University, Shenyang, Liaoning People’s Republic of China
| | - Yanqing Tang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, China. .,Department of Geriatric Medicine, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, People's Republic of China.
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, China. .,Department of Radiology, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, People's Republic of China. .,Brain Function Research Section, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, People's Republic of China.
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140
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Acuff HE, Versace A, Bertocci MA, Hanford LC, Ladouceur CD, Manelis A, Monk K, Bonar L, McCaffrey A, Goldstein BI, Goldstein TR, Sakolsky D, Axelson D, Birmaher B, Phillips ML. White matter - emotion processing activity relationships in youth offspring of bipolar parents. J Affect Disord 2019; 243:153-164. [PMID: 30243195 PMCID: PMC6476540 DOI: 10.1016/j.jad.2018.09.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 07/31/2018] [Accepted: 09/09/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND Early detection of Bipolar Disorder (BD) is critical for targeting interventions to delay or prevent illness onset. Yet, the absence of objective BD biomarkers makes accurately identifying at-risk youth difficult. In this study, we examined how relationships between white matter tract (WMT) structure and activity in emotion processing neural circuitry differentiate youth at risk for BD from youth at risk for other psychiatric disorders. METHODS Offspring (ages 8-17) of parents with BD (OBP, n = 32), offspring of comparison parents with non-BD psychopathology (OCP, n = 30), and offspring of healthy parents (OHP, n = 24) underwent diffusion tensor and functional magnetic resonance imaging while performing an emotional face processing task. Penalized and multiple regression analyses included GROUP(OBP,OCP)xWMT interactions as main independent variables, and emotion processing activity as dependent variables, to determine significant group differences in WMT-activity relationships. RESULTS 8 GROUPxWMT interaction variables contributed to 16.5% of the variance in amygdala and prefrontal cortical activity to happy faces. Of these, significant group differences in slopes (inverse for OBP, positive for OCP) existed for the relationship between forceps minor radial diffusivity and rostral anterior cingulate activity (p = 0.014). Slopes remained significantly different in unmedicated youth without psychiatric disorders (p = 0.017) and were moderated by affective lability symptoms (F(1,29) = 5.566, p = 0.036). LIMITATIONS Relatively small sample sizes were included. CONCLUSIONS Forceps minor radial diffusivity-rostral anterior cingulate activity relationships may reflect underlying neuropathological processes that contribute to affectively labile youth at risk for BD and may help differentiate them from youth at risk for other psychiatric disorders.
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Affiliation(s)
- Heather E. Acuff
- Departments of Neuroscience, Psychology, and Psychiatry, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA,Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | | | - Anna Manelis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelly Monk
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lisa Bonar
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alicia McCaffrey
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Tina R. Goldstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dara Sakolsky
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus, OH, USA
| | | | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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Jia X, Yang Y, Chen Y, Cheng Z, Du Y, Xia Z, Zhang W, Xu C, Zhang Q, Xia X, Deng H, Shi X. Multivariate analysis of genome-wide data to identify potential pleiotropic genes for five major psychiatric disorders using MetaCCA. J Affect Disord 2019; 242:234-243. [PMID: 30212762 PMCID: PMC6343670 DOI: 10.1016/j.jad.2018.07.046] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 06/06/2018] [Accepted: 07/16/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND Genome-wide association studies have been extensively applied in identifying SNP associated with major psychiatric disorders. However, the SNPs identified by the prevailing univariate approach only explain a small percentage of the genetic variance of traits, and the extensive data have shown the major psychiatric disorders have common biological mechanisms and the overlapping pathophysiological pathways. METHODS We applied the genetic pleiotropy-informed metaCCA method on summary statistics data from the Psychiatric Genomics Consortium Cross-Disorder Group to examine the overlapping genetic relations between the five major psychiatric disorders. Furthermore, to refine all genes, we performed gene-based association analyses for the five disorders respectively using VEGAS2. Gene enrichment analysis was applied to explore the potential functional significance of the identified genes. RESULTS After metaCCA analysis, 1147 SNPs reached the Bonferroni corrected threshold (p < 1.06 × 10-6) in the univariate SNP-multivariate phenotype analysis, and 246 genes with a significance threshold (p < 3.85 × 10-6) were identified as potentially pleiotropic genes in the multivariate SNP-multivariate phenotype analysis. By screening the results of gene-based p-values, we identified 37 putative pleiotropic genes which achieved significance threshold in metaCCA analyses and were also associated with at least one disorder in the VEGAS2 analyses. LIMITATIONS Alternative approaches and experimental studies may be applied to check whether novel genes could still be identified/substantiated with these methods. CONCLUSIONS The metaCCA method identified novel variants associated with psychiatric disorders by effectively incorporating information from different GWAS datasets. Our analyses may provide insights for some common therapeutic approaches of these five major psychiatric disorders based on the pleiotropic genes and common mechanisms identified.
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Affiliation(s)
- XiaoCan Jia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - YongLi Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - YuanCheng Chen
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guang Zhou, Guangdong, China
| | - ZhiWei Cheng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuhui Du
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhenhua Xia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Weiping Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Chao Xu
- Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Qiang Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xin Xia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - HongWen Deng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - XueZhong Shi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
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Nedic Erjavec G, Svob Strac D, Tudor L, Konjevod M, Sagud M, Pivac N. Genetic Markers in Psychiatry. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1192:53-93. [PMID: 31705490 DOI: 10.1007/978-981-32-9721-0_4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Psychiatric disorders such as addiction (substance use and addictive disorders), depression, eating disorders, schizophrenia, and post-traumatic stress disorder (PTSD) are severe, complex, multifactorial mental disorders that carry a high social impact, enormous public health costs, and various comorbidities as well as premature morbidity. Their neurobiological foundation is still not clear. Therefore, it is difficult to uncover new set of genes and possible genetic markers of these disorders since the understanding of the molecular imbalance leading to these disorders is not complete. The integrative approach is needed which will combine genomics and epigenomics; evaluate epigenetic influence on genes and their influence on neuropeptides, neurotransmitters, and hormones; examine gene × gene and gene × environment interplay; and identify abnormalities contributing to development of these disorders. Therefore, novel genetic approaches based on systems biology focused on improvement of the identification of the biological underpinnings might offer genetic markers of addiction, depression, eating disorders, schizophrenia, and PTSD. These markers might be used for early prediction, detection of the risk to develop these disorders, novel subtypes of the diseases and tailored, personalized approach to therapy.
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Affiliation(s)
- Gordana Nedic Erjavec
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, HR-10000, Zagreb, Croatia
| | - Dubravka Svob Strac
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, HR-10000, Zagreb, Croatia
| | - Lucija Tudor
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, HR-10000, Zagreb, Croatia
| | - Marcela Konjevod
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, HR-10000, Zagreb, Croatia
| | - Marina Sagud
- School of Medicine, University of Zagreb, Salata 2, HR-10000, Zagreb, Croatia
- Department of Psychiatry, University Hospital Centre Zagreb, Kispaticeva 12, HR-10000, Zagreb, Croatia
| | - Nela Pivac
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, HR-10000, Zagreb, Croatia.
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143
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Mehta D, Czamara D. GWAS of Behavioral Traits. Curr Top Behav Neurosci 2019; 42:1-34. [PMID: 31407241 DOI: 10.1007/7854_2019_105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Over the past decade, genome-wide association studies (GWAS) have evolved into a powerful tool to investigate genetic risk factors for human diseases via a hypothesis-free scan of the genome. The success of GWAS for psychiatric disorders and behavioral traits have been somewhat mixed, partly owing to the complexity and heterogeneity of these traits. Significant progress has been made in the last few years in the development and implementation of complex statistical methods and algorithms incorporating GWAS. Such advanced statistical methods applied to GWAS hits in combination with incorporation of different layers of genomics data have catapulted the search for novel genes for behavioral traits and improved our understanding of the complex polygenic architecture of these traits.This chapter will give a brief overview on GWAS and statistical methods currently used in GWAS. The chapter will focus on reviewing the current literature and highlight some of the most important GWAS on psychiatric and other behavioral traits and will conclude with a discussion on future directions.
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Affiliation(s)
- Divya Mehta
- School of Psychology and Counselling, Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia.
| | - Darina Czamara
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
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144
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Yang Y, Liu S, Jiang X, Yu H, Ding S, Lu Y, Li W, Zhang H, Liu B, Cui Y, Fan L, Jiang T, Lv L. Common and Specific Functional Activity Features in Schizophrenia, Major Depressive Disorder, and Bipolar Disorder. Front Psychiatry 2019; 10:52. [PMID: 30837901 PMCID: PMC6389674 DOI: 10.3389/fpsyt.2019.00052] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 01/24/2019] [Indexed: 12/12/2022] Open
Abstract
Objectives: Schizophrenia (SZ), major depressive disorder (MDD), and bipolar disorder (BD) are serious mental disorders with distinct diagnostic criteria. They share common clinical and biological features. However, there are still only few studies on the common and specific brain imaging changes associated with the three mental disorders. Therefore, the aim of this study was to identify the common and specific functional activity and connectivity changes in SZ, MDD, and BD. Methods: A total of 271 individuals underwent functional magnetic resonance imaging: SZ (n = 64), MDD (n = 73), BD (n = 41), and healthy controls (n = 93). The symptoms of SZ patients were evaluated by the Positive and Negative Syndrome Scale. The Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI) were used to evaluate the symptoms of MDD patients. The BDI, BAI, and Young Mania Rating Scale were used to evaluate the symptoms of MDD and BD patients. In addition, we compared the fALFF and functional connectivity between the three mental disorders and healthy controls using two sample t-tests. Results: Significantly decreased functional activity was found in the right superior frontal gyrus, middle cingulate gyrus, left middle frontal gyrus, and decreased functional connectivity (FC) of the insula was found in SZ, MDD, and BD. Specific fALFF changes, mainly in the ventral lateral pre-frontal cortex, striatum, and thalamus were found for SZ, in the left motor cortex and parietal lobe for MDD, and the dorsal lateral pre-frontal cortex, orbitofrontal cortex, and posterior cingulate cortex in BD. Conclusion: Our findings of common abnormalities in SZ, MDD, and BD provide evidence that salience network abnormality may play a critical role in the pathogenesis of these three mental disorders. Meanwhile, our findings also indicate that specific alterations in SZ, MDD, and BD provide neuroimaging evidence for the differential diagnosis of the three mental disorders.
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Affiliation(s)
- Yongfeng Yang
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Shu Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Xiaoyan Jiang
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Hongyan Yu
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Shuang Ding
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Yanli Lu
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Wenqiang Li
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Hongxing Zhang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Bing Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yue Cui
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Lingzhong Fan
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Tianzi Jiang
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China.,The Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Luxian Lv
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
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145
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Whittaker JR, Foley SF, Ackling E, Murphy K, Caseras X. The Functional Connectivity Between the Nucleus Accumbens and the Ventromedial Prefrontal Cortex as an Endophenotype for Bipolar Disorder. Biol Psychiatry 2018; 84:803-809. [PMID: 30227973 PMCID: PMC6218647 DOI: 10.1016/j.biopsych.2018.07.023] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 07/12/2018] [Accepted: 07/25/2018] [Indexed: 12/30/2022]
Abstract
BACKGROUND Alterations in functional connectivity between the nucleus accumbens (NAcc) and frontal cortices have been previously associated with the presence of psychiatric syndromes, including bipolar disorder (BD). Whether these alterations are a consequence or a risk factor for mental disorders remains unresolved. METHODS This study included 35 patients with BD, 30 nonaffected siblings of patients with BD, and 23 healthy control subjects to probe functional connectivity at rest between NAcc and the rest of the brain in a cross-sectional design. Blood oxygen level-dependent time series at rest from NAcc were used as seed region in a voxelwise correlational analysis. The strength of the correlations found was compared across groups after Fisher's Z transformation. RESULTS We found increased functional connectivity between the NAcc and the ventromedial prefrontal cortex-comprising mainly the subgenual anterior cingulate-in patients compared with healthy control subjects. Participants at increased genetic risk but yet resilient-nonaffected siblings-showed functional connectivity values midway between the former two groups. CONCLUSIONS Our results are indicative of the potential for the connectivity between NAcc and the ventromedial prefrontal cortex to represent an endophenotype for BD.
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Affiliation(s)
- Joseph R Whittaker
- Cardiff University Brain Research Imaging Centre - CUBRIC, Cardiff, United Kingdom; School of Physics and Astronomy at Cardiff University, Cardiff, United Kingdom
| | - Sonya F Foley
- Cardiff University Brain Research Imaging Centre - CUBRIC, Cardiff, United Kingdom
| | - Edward Ackling
- Division of Psychological Medicine and Clinical Neurosciences at Cardiff University, Cardiff, United Kingdom
| | - Kevin Murphy
- Cardiff University Brain Research Imaging Centre - CUBRIC, Cardiff, United Kingdom; School of Physics and Astronomy at Cardiff University, Cardiff, United Kingdom
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics at Cardiff University, Cardiff, United Kingdom; Division of Psychological Medicine and Clinical Neurosciences at Cardiff University, Cardiff, United Kingdom.
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146
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Song J, Kuja-Halkola R, Sjölander A, Bergen SE, Larsson H, Landén M, Lichtenstein P. Specificity in Etiology of Subtypes of Bipolar Disorder: Evidence From a Swedish Population-Based Family Study. Biol Psychiatry 2018; 84:810-816. [PMID: 29331354 DOI: 10.1016/j.biopsych.2017.11.014] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 10/03/2017] [Accepted: 11/10/2017] [Indexed: 01/13/2023]
Abstract
BACKGROUND Uncertainty remains whether bipolar I disorder (BDI) and bipolar II disorder (BDII) differ etiologically. We used a population-based family sample to examine the etiological boundaries between BDI and BDII by assessing their familial aggregation/coaggregation and by assessing the coaggregation between them and schizophrenia, depression, attention-deficit/hyperactivity disorder, eating disorders, autism spectrum disorder, substance use disorders, anxiety disorders, and personality disorders. METHODS By linking Swedish national registers, we established a population-based cohort (N = 15,685,511) and identified relatives with different biological relationships. Odds ratios (ORs) were used to measure the relative risk of BDI and BDII in relatives of individuals diagnosed with BDI (n = 4309) and BDII (n = 4178). The heritability for BDI and BDII and the genetic correlation across psychiatric disorders were estimated by variance decomposition analysis. RESULTS Compared with the general population, the OR of BDI was 17.0 (95% confidence interval [CI] 13.1-22.0) in first-degree relatives of BDI patients, higher than that of BDII patients (OR 9.8, 95% CI 7.7-12.5). The ORs of BDII were 13.6 (95% CI 10.2-18.2) in first-degree relatives of BDII patients and 9.8 (95% CI 7.7-12.4) in relatives of BDI patients. The heritabilities for BDI and BDII were estimated at 57% (95% CI 32%-79%) and 46% (95% CI 21%-67%), respectively, with a genetic correlation estimated as 0.78 (95% CI 0.36-1.00). The familial coaggregation of other psychiatric disorders, in particular schizophrenia, showed different patterns for BDI and BDII. CONCLUSIONS Our results suggest a distinction between BDI and BDII in etiology, partly due to genetic differences.
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Affiliation(s)
- Jie Song
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Arvid Sjölander
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sarah E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Stanley Center for Psychiatric Research, the Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Institute of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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147
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Acuff HE, Versace A, Bertocci MA, Ladouceur CD, Hanford LC, Manelis A, Monk K, Bonar L, McCaffrey A, Goldstein BI, Goldstein TR, Sakolsky D, Axelson D, Birmaher B, Phillips ML. Association of Neuroimaging Measures of Emotion Processing and Regulation Neural Circuitries With Symptoms of Bipolar Disorder in Offspring at Risk for Bipolar Disorder. JAMA Psychiatry 2018; 75:1241-1251. [PMID: 30193355 PMCID: PMC6528787 DOI: 10.1001/jamapsychiatry.2018.2318] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
IMPORTANCE Bipolar disorder (BD) is difficult to distinguish from other psychiatric disorders. Neuroimaging studies can identify objective markers of BD risk. OBJECTIVE To identify neuroimaging measures in emotion processing and regulation neural circuitries and their associations with symptoms specific to youth at risk for BD. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional (August 1, 2011, to July 31, 2017) and longitudinal (February 1, 2013, to November 30, 2017) neuroimaging study performed at the University of Pittsburgh Medical Center compared a sample of 31 offspring of parents with BD (OBP) with 28 offspring of comparison parents with non-BD psychopathologies (OCP) and 21 offspring of healthy parents (OHP); OBP, OCP, and OHP were recruited from the Bipolar Offspring Study and the Longitudinal Assessment of Manic Symptoms Study. MAIN OUTCOMES AND MEASURES Group differences in activity and functional connectivity during emotional face processing and n-back task performance in amygdala, dorsolateral and ventrolateral prefrontal cortices (PFC), caudal anterior cingulate cortices (cACC), and rostral anterior cingulate cortices (rACC) neuroimaging measures showing between-group differences and symptom severity (anxiety, affective lability, depression, mania). We hypothesized that elevated amygdala activity and/or lower PFC activity and abnormal amygdala to PFC functional connectivity would distinguish OBP from OCP and OHP, and magnitudes of these abnormalities would positively correlate with elevated symptom severity. We explored associations between changes in neuroimaging and symptom measures over follow-up (mean [SD], 2.9 [1.4] years) in a subset of participants (n = 30). RESULTS Eighty participants were included (mean [SD] age, 14.2 (2.1) years; 35 female). Twelve neuroimaging measures explained 51% of the variance in the results of neuroimaging measures overall. Of the 12, 9 showed significant main associations of the group; however, after post hoc analyses and Bonferroni corrections, only 7 showed statistically significant associations between groups (corrected P < .05 for all). Of the 7, 2 showed significant relationships with symptoms. Offspring of parents with BD had greater right rACC activity when regulating attention to happy faces vs OCP (mean [SD] difference, 0.744 [0.249]; 95% CI, 0.134-1.354; P = .01), which positively correlated with affective lability severity (ρ = 0.304; uncorrected P = .006). Offspring of parents with BD had greater amygdala to left cACC functional connectivity when regulating attention to fearful faces vs OCP (mean [SD] difference, 0.493 [0.169]; 95% CI, 0.079-0.908; P = .01). Increases in this measure positively correlated with increases in affective lability over follow-up (r = 0.541; P = .003). CONCLUSIONS AND RELEVANCE Greater anterior cingulate cortex activity and functional connectivity during emotion regulation tasks may be specific markers of BD risk. These findings highlight potential neural targets to aid earlier identification of and guide new treatment developments for BD.
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Affiliation(s)
- Heather E. Acuff
- Departments of Neuroscience, Psychology, and Psychiatry, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA,Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | | | - Anna Manelis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelly Monk
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lisa Bonar
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alicia McCaffrey
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Tina R. Goldstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dara Sakolsky
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus, Ohio, USA
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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148
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Motz RT, Tanksley P, Liu H, Mersha TB, Barnes JC. Every contact leaves a trace: contact with the criminal justice system, life outcomes, and the intersection with genetics. Curr Opin Psychol 2018; 27:82-87. [PMID: 30347286 DOI: 10.1016/j.copsyc.2018.09.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 09/18/2018] [Accepted: 09/26/2018] [Indexed: 10/28/2022]
Abstract
Contact with the criminal justice (CJ) system is a relatively common occurrence in the United States. Criminologists and sociologists have long considered the impact of contact with the CJ system on later-in-life outcomes. This body of work has revealed a great deal of heterogeneity in life outcomes, suggesting individual differences are important to consider. At the same time, recent advances in the genomic sciences have allowed researchers to gather information from across the entire genome and to summarize that information into polygenic scores. In the present review, we consider how polygenic scores might be used to advance research into the impact of CJ system contact on life outcomes. In particular, we emphasize the importance of gene-environment interaction (G × E). We suggest that contact with the CJ system might represent a substantively important environmental moderator of polygenic risks. But we caution that studying the moderating role of contact with the CJ system will have its own complications-points that scholars must begin to consider and discuss now that the genomic era has reached the social sciences.
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Affiliation(s)
- Ryan T Motz
- School of Criminal Justice, University of Cincinnati, Cincinnati, OH, 45221, USA
| | - Peter Tanksley
- School of Criminal Justice, University of Cincinnati, Cincinnati, OH, 45221, USA
| | - Hexuan Liu
- School of Criminal Justice, University of Cincinnati, Cincinnati, OH, 45221, USA; Institute for Analytics Innovation, University of Cincinnati, Cincinnati, OH, 45221, USA
| | - Tesfaye B Mersha
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, 45229, USA; Cincinnati Children's Hospital, Cincinnati, OH, 45229, USA
| | - J C Barnes
- School of Criminal Justice, University of Cincinnati, Cincinnati, OH, 45221, USA.
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149
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Birmaher B, Merranko JA, Goldstein TR, Gill MK, Goldstein BI, Hower H, Yen S, Hafeman D, Strober M, Diler RS, Axelson D, Ryan ND, Keller MB. A Risk Calculator to Predict the Individual Risk of Conversion From Subthreshold Bipolar Symptoms to Bipolar Disorder I or II in Youth. J Am Acad Child Adolesc Psychiatry 2018; 57:755-763.e4. [PMID: 30274650 PMCID: PMC6293466 DOI: 10.1016/j.jaac.2018.05.023] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 04/18/2018] [Accepted: 06/21/2018] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Youth with subthreshold mania are at increased risk of conversion to bipolar disorder (BP) I/II. Predictors for conversion have been published for the group as a whole. However, risk factors are heterogeneous, indicating the need for personalized risk assessment. METHOD One hundred forty youth with BP not otherwise specified (BP-NOS; 6-17 years old) followed through the Course and Outcome of Bipolar Youth (COBY) study with at least 1 follow-up assessment before conversion to BP-I/II were included. Youths were assessed on average every 7 months (median 11.5 years) using standard instruments. Risk predictors reported in the literature were used to build a 5-year risk calculator. Discrimination was measured using the time-dependent area under the curve after 1,000 bootstrap resamples. Calibration was evaluated by comparing observed with predicted probability of conversion. External validation was performed using an independent sample of 58 youths with BP-NOS recruited from the Pittsburgh Bipolar Offspring Study. RESULTS Seventy-five (53.6%) COBY youths with BP-NOS converted to BP-I/II, of which 57 (76.0%) converted within 5 years. Earlier-onset BP-NOS, familial hypomania/mania, and high mania, anxiety, and mood lability symptoms were important predictors of conversion. The calculator showed excellent consistency between the predicted and observed risks of conversion, good discrimination between converters and non-converters (area under the curve 0.71, CI 0.67-0.74), and a proportionally increasing rate of converters at each successive risk class. Discrimination in the external validation sample was good (area under the curve 0.75). CONCLUSION If replicated, the risk calculator would provide a useful tool to predict personalized risk of conversion from subsyndromal mania to BP-I/II and inform individualized interventions and research.
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Affiliation(s)
| | | | | | | | - Benjamin I Goldstein
- Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, Ontario, Canada
| | - Heather Hower
- Warren Alpert Medical School of Brown University, Butler Hospital, Providence, RI
| | - Shirley Yen
- Warren Alpert Medical School of Brown University, Butler Hospital, Providence, RI
| | | | - Michael Strober
- David Geffen School of Medicine at the University of California, Los Angeles
| | | | - David Axelson
- Nationwide Children's Hospital and The Ohio State College of Medicine, Columbus
| | - Neal D Ryan
- University of Pittsburgh School of Medicine, PA
| | - Martin B Keller
- Warren Alpert Medical School of Brown University, Butler Hospital, Providence, RI
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150
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Cruceanu C, Schmouth JF, Torres-Platas SG, Lopez JP, Ambalavanan A, Darcq E, Gross F, Breton B, Spiegelman D, Rochefort D, Hince P, Petite JM, Gauthier J, Lafrenière RG, Dion PA, Greenwood CM, Kieffer BL, Alda M, Turecki G, Rouleau GA. Rare susceptibility variants for bipolar disorder suggest a role for G protein-coupled receptors. Mol Psychiatry 2018; 23:2050-2056. [PMID: 29158579 DOI: 10.1038/mp.2017.223] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 08/21/2017] [Accepted: 09/08/2017] [Indexed: 11/09/2022]
Abstract
Bipolar disorder (BD) is a prevalent mood disorder that tends to cluster in families. Despite high heritability estimates, few genetic susceptibility factors have been identified over decades of genetic research. One possible interpretation for the shortcomings of previous studies to detect causative genes is that BD is caused by highly penetrant rare variants in many genes. We explored this hypothesis by sequencing the exomes of affected individuals from 40 well-characterized multiplex families. We identified rare variants segregating with affected status in many interesting genes, and found an enrichment of deleterious variants in G protein-coupled receptor (GPCR) family genes, which are important drug targets. Furthermore, we showed targeted downstream GPCR dysregulation for some of the variants that may contribute to disease pathology. Particularly interesting was the finding of a rare and functionally relevant nonsense mutation in the corticotropin-releasing hormone receptor 2 (CRHR2) gene that tracked with affected status in one family. By focusing on rare variants in informative families, we identified key biochemical pathways likely implicated in this complex disorder.
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Affiliation(s)
- C Cruceanu
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.,Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - J-F Schmouth
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - S G Torres-Platas
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - J P Lopez
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - A Ambalavanan
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - E Darcq
- Department of Psychiatry, Faculty of Medicine, Douglas Hospital Research Center, McGill University, Montreal, QC, Canada
| | - F Gross
- Department of Psychiatry, Faculty of Medicine, Douglas Hospital Research Center, McGill University, Montreal, QC, Canada
| | - B Breton
- Domain Therapeutics NA, Montreal, QC, Canada
| | - D Spiegelman
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - D Rochefort
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - P Hince
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - J M Petite
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - J Gauthier
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - R G Lafrenière
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - P A Dion
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - C M Greenwood
- Lady Davis Research Institute, Jewish General Hospital,, Montreal, QC, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.,Department of Oncology and Human Genetics, McGill University, Montreal, QC, Canada
| | - B L Kieffer
- Department of Psychiatry, Faculty of Medicine, Douglas Hospital Research Center, McGill University, Montreal, QC, Canada
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - G Turecki
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
| | - G A Rouleau
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
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