1
|
Helmink FGL, Mesman E, Hillegers MHJ. Beyond the Window of Risk? The Dutch Bipolar Offspring Study: 22-Year Follow-Up. J Am Acad Child Adolesc Psychiatry 2024:S0890-8567(24)00308-3. [PMID: 38851383 DOI: 10.1016/j.jaac.2024.05.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 04/03/2024] [Accepted: 05/30/2024] [Indexed: 06/10/2024]
Abstract
OBJECTIVE Adolescent offspring of parents with bipolar disorder (BD) are at high risk to develop BD and other psychopathology, yet, it remains unknown how this risk continues into middle adulthood. We aim to determine the window of risk for BD and other psychopathology in offspring of parents with BD followed from adolescence into adulthood. METHOD This study reports on the 22-year follow-up assessment of the Dutch Bipolar Offspring Study, a fixed cohort study of 140 participants, established in 1997. Offspring (n=100; mean age of 38.28 years, SD=2.74) of parents with BD-I or BD-II were assessed at baseline, 1-, 5-, 12-, and 22-year follow-up. RESULTS No new BD onsets occurred since the 12-year follow-up (lifetime prevalence=11-13%; BD-I=4%; BD-II=7%). Lifetime prevalence of any mood disorder is 65%, for major depressive disorder (MDD) 36%, and for recurrent mood episodes 37%. Prevalence of MDD more than doubled in the past decade. Point prevalence of any psychopathology peaked between 20-25 years (38-46%) subsiding to 29-35% per year after age 30. Overall, 71% of offspring contacted mental health services since the last assessment. CONCLUSION The risk for homotypic transmission of BD in offspring of parents with BD is highest during adolescence. The heterotypic risk for mood disorder onset and recurrences continues over the life course. Severe mood disorders are often preceded by milder psychopathology, emphasizing the need for early identification and interventions. This study allows for better understanding of the onset and course of mood disorders and specific windows of risk in a familial high-risk population.
Collapse
Affiliation(s)
| | - Esther Mesman
- Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | | |
Collapse
|
2
|
Lei B, Feng H, Yang L, Wang J, Chen J, Song W, Jiang C, Zhang K, Wang Q, Tsang JCC, Chan NY, Liu Y, Chan JW, Pan J, Zhang B, Li T, Merikangas KR, Zhang J, Wing YK. Circadian rhythm dysfunction and psychopathology in the offspring of parents with bipolar disorder: a high-risk study in the Chinese population. Gen Psychiatr 2024; 37:e101239. [PMID: 38800632 PMCID: PMC11116863 DOI: 10.1136/gpsych-2023-101239] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 04/11/2024] [Indexed: 05/29/2024] Open
Abstract
Background Understanding the evolution of circadian rhythm dysfunction and psychopathology in the high-risk population has important implications for the prevention of bipolar disorder. Nevertheless, some of the previous studies on the emergence of psychopathologies and circadian dysfunction among high-risk populations were inconsistent and limited. Aims To examine the prevalence rates of sleep and circadian dysfunctions, mental disorders and their symptoms in the offspring of parents with (O-BD) and without bipolar disorder (O-control). Methods The study included 191 O-BD and 202 O-control subjects aged 6-21 years from the Greater Bay Area, China. The diagnoses and symptoms of sleep/circadian rhythm and mental disorders were assessed by the Diagnostic Interview for Sleep Patterns and Disorders, and the Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version, respectively. Generalised estimating equations and shared frailty proportional hazards models of survival analysis were applied to compare the outcomes in the offspring. Results Adjusting for age, sex and region of recruitment, there was a significantly higher risk of delayed sleep phase symptoms (9.55% vs 2.58%, adjusted OR: 4.04) in O-BD than in O-control. O-BD had a nearly fivefold higher risk of mood disorders (11.70% vs 3.47%, adjusted OR: 4.68) and social anxiety (6.28% vs 1.49%, adjusted OR: 4.70), a fourfold higher risk of depressive disorders (11.17% vs 3.47%, adjusted OR: 3.99) and a threefold higher risk of mood symptoms (20.74% vs 10.40%, adjusted OR: 2.59) than O-control. Subgroup analysis revealed that O-BD children (aged under 12 years) had a nearly 2-fold higher risk of any mental and behavioural symptoms than O-control, while there was a nearly 4-fold higher risk of delayed sleep phase symptoms, a 7.5-fold higher risk of social anxiety and a 3-fold higher risk of mood symptoms in O-BD adolescents (aged 12 years and over). Conclusions There was an increase in delayed sleep phase symptoms in O-BD adolescents compared with their control counterparts, confirming the central role of circadian rhythm dysfunction in bipolar disorder. The findings of the specific age-related and stage-related developmental patterns of psychopathologies and circadian dysfunction in children and adolescent offspring of parents with bipolar disorder paved the way to develop specific and early clinical intervention and prevention strategies. Trial registration number NCT03656302.
Collapse
Affiliation(s)
- Binbin Lei
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Hongliang Feng
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Lulu Yang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Jing Wang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jie Chen
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Weidong Song
- Shenzhen Nanshan Center for Chronic Diseases Control (Shenzhen Nanshan Mental Health Center), Shenzhen, China
| | - Chao Jiang
- Department of Clinical Psychology, Shenzhen Fuyong People's Hospital, Shenzhen, China
| | - Kun Zhang
- Department of Mental Illness Prevention and Treatment, Shenzhen Longgang Center for Chronic Diseases Control, Shenzhen, China
| | - Qunfeng Wang
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jessie Chi Ching Tsang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China
| | - Joey W.Y. Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China
| | - Jiyang Pan
- Sleep Medical Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Bin Zhang
- Department of Psychiatry, Nanfang Hospital, Southern Medical University; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, Guangdong, China
| | - Tao Li
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Kathleen Ries Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland, USA
| | - Jihui Zhang
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China
| |
Collapse
|
3
|
Tu EN, Duffy A. Editorial: Combining Genetic and Clinical Predictors of Bipolar Disorder: Towards Improving the Diagnostic Precision in Youth. J Am Acad Child Adolesc Psychiatry 2024:S0890-8567(24)00249-1. [PMID: 38762069 DOI: 10.1016/j.jaac.2024.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 05/09/2024] [Indexed: 05/20/2024]
Abstract
Bipolar disorder (BD) is a complex heterogeneous illness, with 60% to 85% of its variance attributed to genetic factors.1 Adolescence marks the first peak period of risk for the onset of BD, with the initial (hypo)manic episode often preceded by childhood psychopathology, including anxiety and sleep disorders, as well as internalizing symptoms.2 Given the non-specific nature of childhood antecedents, combined with the prominence of depressive episodes in the early illness course, accurate diagnosis is often delayed by 8 to 10 years from onset.3 Yet, the early course of BD in youth is already associated with significant morbidity and mortality. Therefore, more accurate and timely diagnosis is a priority. One way forward could be to combine biomarkers with clinical variables to help validate diagnoses, improve individual risk prediction and treatment, and advance discovery research into pathogenesis.
Collapse
Affiliation(s)
- En-Nien Tu
- University of Oxford, Oxford, United Kingdom, Chang Gung Memorial Hospital, Keelung, Taiwan, and Chang Gung University, Taoyuan City, Taiwan.
| | - Anne Duffy
- Queen's University, Kingston, Ontario, Canada, and University of Oxford, Oxford, United Kingdom
| |
Collapse
|
4
|
Duffy A, Grof P. Advancing clinical practice and discovery research through revised taxonomy: Case in point bipolar disorder diagnosis: Commentary on "The diagnosis of bipolar disorder in children and adolescents: Past, present and future". Bipolar Disord 2024; 26:286-288. [PMID: 38453170 DOI: 10.1111/bdi.13415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Affiliation(s)
- Anne Duffy
- Department of Psychiatry, Queen's University, Kingston, Ontario, Canada
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Paul Grof
- University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
5
|
Bureau A, Berthelot N, Ricard J, Lafrance C, Jomphe V, Dioni A, Fortin-Fabbro É, Boisvert MC, Maziade M. Heterogeneity in the longitudinal courses of global functioning in children at familial risk of major psychiatric disorders: Association with trauma and familial characteristics. Bipolar Disord 2024; 26:265-276. [PMID: 37957788 DOI: 10.1111/bdi.13386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
OBJECTIVES The extent to which heterogeneity in childhood risk trajectories may underlie later heterogeneity in schizophrenia (SZ), bipolar disorder (BP), and major depressive disorder (MDD) remains a chief question. Answers may optimally be found by studying the longitudinal trajectories of children born to an affected parent. We aimed to differentiate trajectories of global functioning and their sensitive periods from the age of 6 to 17 years in children at familial risk (FHRs). METHODS First, a latent class mixed model analysis (LCMM) was applied to yearly ratings of the Children's Global Assessment Scale (CGAS) from the age of 6 to 17 years in 170 FHRs born to a parent affected by DSM-IV SZ (N = 37), BP (N = 82) or MDD (N = 51). Then, we compared the obtained Classes or trajectories of FHRs in terms of sex, parental diagnosis, IQ, child clinical status, childhood trauma, polygenic risk score (PRS), and outcome in transition to illness. RESULTS The LCMM on yearly CGAS trajectories identified a 4-class solution showing markedly different childhood and adolescence dynamic courses and temporal vulnerability windows marked by a functioning decline and a degree of specificity in parental diagnosis. Moreover, IQ, trauma exposure, PRS level, and timing of later transition to illness differentiated the trajectories. Almost half (46%) of the FHRs exhibited a good and stable global functioning trajectory. CONCLUSIONS FHRs of major psychiatric disorders show heterogeneous functional decline during development associated with parental diagnosis, polygenic risk loading, and childhood trauma.
Collapse
Affiliation(s)
- Alexandre Bureau
- Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval, Québec, Quebec, Canada
- Cervo Brain Research Centre, Québec, Quebec, Canada
| | - Nicolas Berthelot
- Cervo Brain Research Centre, Québec, Quebec, Canada
- Université du Québec à Trois-Rivières, Department of Nursing Sciences, Trois-Rivieres, Quebec, Canada
| | | | | | | | - Abdoulaye Dioni
- Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval, Québec, Quebec, Canada
| | | | | | - Michel Maziade
- Cervo Brain Research Centre, Québec, Quebec, Canada
- Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Québec, Quebec, Canada
| |
Collapse
|
6
|
Eijsbroek VC, Kjell K, Schwartz HA, Boehnke JR, Fried EI, Klein DN, Gustafsson P, Augenstein I, Bossuyt PMM, Kjell O. The LEADING Guideline: Reporting Standards for Expert Panel, Best-Estimate Diagnosis, and Longitudinal Expert All Data (LEAD) Studies. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.19.24304526. [PMID: 38699296 PMCID: PMC11065032 DOI: 10.1101/2024.03.19.24304526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Accurate assessments of symptoms and diagnoses are essential for health research and clinical practice but face many challenges. The absence of a single error-free measure is currently addressed by assessment methods involving experts reviewing several sources of information to achieve a more accurate or best-estimate assessment. Three bodies of work spanning medicine, psychiatry, and psychology propose similar assessment methods: The Expert Panel, the Best-Estimate Diagnosis, and the Longitudinal Expert All Data (LEAD). However, the quality of such best-estimate assessments is typically very difficult to evaluate due to poor reporting of the assessment methods and when it is reported, the reporting quality varies substantially. Here we tackle this gap by developing reporting guidelines for such studies, using a four-stage approach: 1) drafting reporting standards accompanied by rationales and empirical evidence, which were further developed with a patient organization for depression, 2) incorporating expert feedback through a two-round Delphi procedure, 3) refining the guideline based on an expert consensus meeting, and 4) testing the guideline by i) having two researchers test it and ii) using it to examine the extent previously published articles report the standards. The last step also demonstrates the need for the guideline: 18 to 58% (Mean = 33%) of the standards were not reported across fifteen randomly selected studies. The LEADING guideline comprises 20 reporting standards related to four groups: The Longitudinal design; the Appropriate data; the Evaluation - experts, materials, and procedures; and the Validity group. We hope that the LEADING guideline will be useful in assisting researchers in planning, reporting, and evaluating research aiming to achieve best-estimate assessments.
Collapse
Affiliation(s)
| | | | - H Andrew Schwartz
- Department of Computer Science, Stony Brook University, New York, the United States
| | - Jan R Boehnke
- School of Health Sciences, University of Dundee, Dundee, Scotland
| | - Eiko I Fried
- Institute of Psychology, Leiden University, Leiden, the Netherlands
| | - Daniel N Klein
- Department of Psychology, Stony Brook University, New York, the United States
| | | | - Isabelle Augenstein
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Patrick M M Bossuyt
- Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Oscar Kjell
- Department of Psychology, Lund University, Lund, Sweden
| |
Collapse
|
7
|
Duffy A, Grof P. Longitudinal studies of bipolar patients and their families: translating findings to advance individualized risk prediction, treatment and research. Int J Bipolar Disord 2024; 12:12. [PMID: 38609722 PMCID: PMC11014837 DOI: 10.1186/s40345-024-00333-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Bipolar disorder is a broad diagnostic construct associated with significant phenotypic and genetic heterogeneity challenging progress in clinical practice and discovery research. Prospective studies of well-characterized patients and their family members have identified lithium responsive (LiR) and lithium non-responsive (LiNR) subtypes that hold promise for advancement. METHOD In this narrative review, relevant observations from published longitudinal studies of well-characterized bipolar patients and their families spanning six decades are highlighted. DSM diagnoses based on SADS-L interviews were decided in blind consensus reviews by expert clinicians. Genetic, neurobiological, and psychosocial factors were investigated in subsets of well-characterized probands and adult relatives. Systematic maintenance trials of lithium, antipsychotics, and lamotrigine were carried out. Clinical profiles that included detailed histories of the clinical course, symptom sets and disorders segregating in families were documented. Offspring of LiR and LiNR families were repeatedly assessed up to 20 years using KSADS-PL format interviews and DSM diagnoses and sub-threshold symptoms were decided by expert clinicians in blind consensus reviews using all available clinical and research data. RESULTS A characteristic clinical profile differentiated bipolar patients who responded to lithium stabilization from those who did not. The LiR subtype was characterized by a recurrent fully remitting course predominated by depressive episodes and a positive family history of episodic remitting mood disorders, and not schizophrenia. Response to lithium clustered in families and the characteristic clinical profile predicted lithium response, with the episodic remitting course being a strong correlate. There is accumulating evidence that genetic and neurobiological markers differ between LiR and LiNR subtypes. Further, offspring of bipolar parents subdivided by lithium response differed in developmental history, clinical antecedents and early course of mood disorders. Moreover, the nature of the emergent course bred true from parent to offspring, independent of the nature of emergent psychopathology. CONCLUSIONS Bipolar disorders are heterogeneous and response to long-term lithium is associated with a familial subtype with characteristic course, treatment response, family history and likely pathogenesis. Incorporating distinctive clinical profiles that index valid bipolar subtypes into routine practice and research will improve patient outcomes and advance the development and translation of novel treatment targets to improve prevention and early intervention.
Collapse
Affiliation(s)
- Anne Duffy
- Department of Psychiatry, Queen's University, Kingston, ON, Canada.
- Department of Psychiatry, University of Oxford, Oxford, UK.
| | - Paul Grof
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
8
|
Tu EN, Manley H, Saunders KEA, Creswell C. Systematic Review and Meta-Analysis: Risks of Anxiety Disorders in Offspring of Parents With Mood Disorders. J Am Acad Child Adolesc Psychiatry 2024; 63:407-421. [PMID: 37453607 DOI: 10.1016/j.jaac.2023.06.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 06/05/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVE To examine the risk of anxiety disorders in offspring of parents with mood disorders. METHOD We conducted a systematic review and meta-analysis. We searched 4 electronic databases (Medline, Embase, PsycINFO, and Web of Science [core collection]) to identify cross-sectional and cohort studies that examined the association between parental mood disorders (including bipolar disorder and unipolar depression) and risk of anxiety disorders in offspring. Pooled risk ratios (RRs) of overall and specific anxiety disorders were synthesized using a random effects model. Subgroup analyses and meta-regression were performed to identify moderation factors. RESULTS A total of 35 studies were included in the final analysis. Our results showed higher risks of all types of anxiety disorders in the offspring of parents with mood disorders (any anxiety disorder, RR = 1.82, 95% CI = 1.47-2.26), except for agoraphobia (RR = 1.08, 95% CI = 0.56-2.08), and with an especially elevated risk of panic disorder (RR = 3.07, 95% CI = 2.19-4.32). Subgroup analysis demonstrated no significant difference between the risks of anxiety disorders across the offspring of parents with bipolar disorder as opposed to unipolar depression. The absence of anxiety disorders in control parents, younger offspring age, and specific parent/offspring sex were associated with higher RRs for some anxiety disorders in offspring of parents with mood disorders. CONCLUSION Our findings suggest a robust relationship between parental mood disorders and offspring anxiety disorders, and highlight the potential value of prevention and early intervention for anxiety disorders in this context. DIVERSITY & INCLUSION STATEMENT We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list. STUDY PREREGISTRATION INFORMATION Anxiety Disorders in Offspring of Parents with Mood Disorders: A Systematic Review; https://www.crd.york.ac.uk/prospero/; CRD42021215058.
Collapse
Affiliation(s)
- En-Nien Tu
- University of Oxford, United Kingdom; Chang Gung Memorial Hospital, Keelung, Taiwan, and Chang Gung University, Taiwan
| | | | - Kate E A Saunders
- University of Oxford, United Kingdom; Queen's University, Kingston, Canada, and Oxford Health NHS Foundation Trust, Oxford, United Kingdom
| | | |
Collapse
|
9
|
Abel MR, Henin A, Holmén J, Kagan E, Hamilton A, Noyola N, Hirshfeld-Becker DR. Anxiety and Disruptive Behavior Symptoms and Disorders in Preschool-Age Offspring of Parents With and Without Bipolar Disorder: Associations With Parental Comorbidity. J Atten Disord 2024; 28:625-638. [PMID: 38084063 DOI: 10.1177/10870547231215288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
OBJECTIVE We examined the relative contribution of parental bipolar disorder (BPD) and psychiatric comorbidities (disruptive behavior disorders [DBD] and anxiety disorders) in predicting psychiatric symptoms and disorders in 2-5-year-old offspring. METHODS Participants were 60 families with a parent with BPD and 78 offspring and 70 comparison families in which neither parent had a mood disorder and 91 offspring. Parent and offspring diagnoses and symptoms were assessed using standardized diagnostic interviews and measures, with offspring assessors masked to parental diagnoses. RESULTS Offspring of parents with BPD had significant elevations in behavioral, mood and anxiety disorders and symptoms. Both parental BPD and DBD contributed to elevations in child disruptive behavioral symptoms, whereas child anxiety symptoms were more strongly predicted by comorbid parental anxiety. Parental BPD was a stronger predictor than comorbid DBD of child DBDs. CONCLUSION Some of the elevated risk for disorders in preschoolers is accounted for by parental comorbidity.
Collapse
Affiliation(s)
- Madelaine R Abel
- Child Cognitive Behavioral Therapy Program, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Aude Henin
- Child Cognitive Behavioral Therapy Program, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Jordan Holmén
- Child Cognitive Behavioral Therapy Program, Massachusetts General Hospital, Boston, MA, USA
- St. John's University, New York, NY, USA
| | - Elana Kagan
- Child Cognitive Behavioral Therapy Program, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Antonia Hamilton
- Child Cognitive Behavioral Therapy Program, Massachusetts General Hospital, Boston, MA, USA
- Syracuse University, New York, NY, USA
| | - Nestor Noyola
- Child Cognitive Behavioral Therapy Program, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Dina R Hirshfeld-Becker
- Child Cognitive Behavioral Therapy Program, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
10
|
Martini J, Bröckel KL, Leopold K, Berndt C, Sauer C, Maicher B, Juckel G, Krüger-Özgürdal S, Fallgatter AJ, Lambert M, Bechdolf A, Reif A, Matura S, Biere S, Kittel-Schneider S, Stamm T, Bermpohl F, Kircher T, Falkenberg I, Jansen A, Dannlowski U, Correll CU, Fusar-Poli P, Hempel LM, Mikolas P, Ritter P, Bauer M, Pfennig A. Young people at risk for developing bipolar disorder: Two-year findings from the multicenter prospective, naturalistic Early-BipoLife study. Eur Neuropsychopharmacol 2024; 78:43-53. [PMID: 37913697 DOI: 10.1016/j.euroneuro.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/18/2023] [Accepted: 10/09/2023] [Indexed: 11/03/2023]
Abstract
Early identification and intervention of individuals with an increased risk for bipolar disorder (BD) may improve the course of illness and prevent long‑term consequences. Early-BipoLife, a multicenter, prospective, naturalistic study, examined risk factors of BD beyond family history in participants aged 15-35 years. At baseline, positively screened help-seeking participants (screenBD at-risk) were recruited at Early Detection Centers and in- and outpatient depression and attention-deficit/hyperactivity disorder (ADHD) settings, references (Ref) drawn from a representative cohort. Participants reported sociodemographics and medical history and were repeatedly examined regarding psychopathology and the course of risk factors. N = 1,083 screenBD at-risk and n = 172 Ref were eligible for baseline assessment. Within the first two years, n = 31 screenBD at-risk (2.9 %) and none of Ref developed a manifest BD. The cumulative transition risk was 0.0028 at the end of multistep assessment, 0.0169 at 12 and 0.0317 at 24 months (p = 0.021). The transition rate with a BD family history was 6.0 %, 4.7 % in the Early Phase Inventory for bipolar disorders (EPIbipolar), 6.6 % in the Bipolar Prodrome Interview and Symptom Scale-Prospective (BPSS-FP) and 3.2 % with extended Bipolar At-Risk - BARS criteria). In comparison to help-seeking young patients from psychosis detection services, transition rates in screenBD at-risk participants were lower. The findings of Early-BipoLife underscore the importance of considering risk factors beyond family history in order to improved early detection and interventions to prevent/ameliorate related impairment in the course of BD. Large long-term cohort studies are crucial to understand the developmental pathways and long-term course of BD, especially in people at- risk.
Collapse
Affiliation(s)
- Julia Martini
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany
| | - Kyra Luisa Bröckel
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany
| | - Karolina Leopold
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, Vivantes Hospital at Urban and Vivantes Hospital at Friedrichshain, Berlin, Germany
| | - Christina Berndt
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany
| | - Cathrin Sauer
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany
| | - Birgit Maicher
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany
| | - Georg Juckel
- Department of Psychiatry and Psychotherapy, LWL-University Hospital Bochum, Ruhr-University Bochum, Bochum, Germany
| | - Seza Krüger-Özgürdal
- Department of Psychiatry and Psychotherapy, LWL-University Hospital Bochum, Ruhr-University Bochum, Bochum, Germany
| | - Andreas J Fallgatter
- Tübingen Center for Mental Health (TüCMH), Department of General Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany
| | - Martin Lambert
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andreas Bechdolf
- Department of Psychiatry, Psychotherapy and Psychosomatics, Vivantes Hospital at Urban and Vivantes Hospital at Friedrichshain, Berlin, Germany; Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - Silke Matura
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - Silvia Biere
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Würzburg, Würzburg, Germany
| | - Thomas Stamm
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin, Berlin, Germany; Department of Psychiatry, Psychotherapy and Psychosomatic, Hospitals of Ruppin - Medical School Brandenburg Theodor Fontane, Neuruppin, Germany
| | - Felix Bermpohl
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Tilo Kircher
- Department for Psychiatry and Psychotherapy, University Hospital Marburg, Marburg, Germany
| | - Irina Falkenberg
- Department for Psychiatry and Psychotherapy, University Hospital Marburg, Marburg, Germany
| | - Andreas Jansen
- Department for Psychiatry and Psychotherapy, University Hospital Marburg, Marburg, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Christoph U Correll
- Department of Child- and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany; Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA; Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Paolo Fusar-Poli
- EPIC Lab, Department of Psychosis Studies, King's College London, London, UK; Department of Brain and Behavioral Health Sciences, University of Pavia, Pavia, Italy
| | - Lisa Marie Hempel
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany
| | - Pavol Mikolas
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany
| | - Philipp Ritter
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital, TUD Dresden University of Technology, Dresden, Germany.
| |
Collapse
|
11
|
Giacomo FD, Strippoli MPF, Castelao E, Amoussou JR, Gholam M, Ranjbar S, Glaus J, Marquet P, Preisig M, Plessen KJ, Vandeleur CL. Risk factors for mood disorders among offspring of parents with bipolar disorder: Findings from a discordant-sibling study. Psychiatry Res 2023; 330:115615. [PMID: 38007982 DOI: 10.1016/j.psychres.2023.115615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 11/15/2023] [Accepted: 11/18/2023] [Indexed: 11/28/2023]
Abstract
The purpose of this naturalistic, prospective study was to identify risk factors for mood disorders in offspring of parents with bipolar disorder (BPD) using the discordant-sibling design by comparing premorbid psychopathology or symptoms, temperament, personality traits and coping style as well as the perception of family-related characteristics among affected and unaffected siblings within the same family. This approach controls for confounding by unmeasured genetic and environmental factors shared within families. Our sample comprised 24 families of a parent with BPD with at least one child that developed BPD or major depressive disorder (n = 31), and at least one child who did not. Offspring were followed for a mean duration of 16.2 (s.d: 4.6) years. Information was collected from the offspring themselves. Generalized linear mixed models only revealed differences in three dimensions of the Dimension of Temperament Survey-Revised (DOTS-R) version: Offspring with mood disorders scored higher on "Approach-withdrawal", "Rhythmicity for daily habits", and "Task orientation" than their unaffected siblings. The higher scores, and not lower scores as expected, on these temperament dimensions observed in offspring that subsequently developed mood disorders may reflect increased vulnerability, but they could also mirror premorbid mood swings or strategies to cope with them.
Collapse
Affiliation(s)
- Francesca Di Giacomo
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland.
| | - Marie-Pierre F Strippoli
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Enrique Castelao
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Joëlle Rosselet Amoussou
- Psychiatry Library, Education and Research Department, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Mehdi Gholam
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Setareh Ranjbar
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Jennifer Glaus
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Pierre Marquet
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland; International Research Unit in Neurodevelopment and Child Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland and Laval University, QC, Canada
| | - Martin Preisig
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Kerstin Jessica Plessen
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Caroline L Vandeleur
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
| |
Collapse
|
12
|
Helmink FGL, Vandeleur CL, Preisig M, Gunput STG, Hillegers MHJ, Mesman E. Functional outcomes across development in offspring of parents with bipolar disorder. J Affect Disord 2023; 340:490-505. [PMID: 37467795 DOI: 10.1016/j.jad.2023.07.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 05/26/2023] [Accepted: 07/14/2023] [Indexed: 07/21/2023]
Abstract
OBJECTIVE Whereas the risk and course of psychopathology in offspring of parents with bipolar disorder (BD) have been the primary focus of high-risk offspring studies to date, functional outcomes have not been given much attention. We present a systematic review of functional outcomes and quality of life (QoL) across development in offspring of parents with BD and aim to explore the role of offspring psychopathology in these outcomes. METHOD We searched Embase, MEDLINE, PsycINFO, Web of Science, Cochrane Central, and Google Scholar from inception to June 24, 2022, for studies referring to functional outcomes (global, social, academic or occupational) or QoL in offspring of parents with BD. RESULTS From the 6470 records identified, 39 studies were retained (global = 17; social = 17; school = 16; occupational = 3; QoL = 5), including 13 studies that examined multiple domains. For all domains, high heterogeneity was found in study methods and quality. Only 56 % of studies adjusted for offspring psychopathology, impeding interpretation. Global and social functioning generally seemed to be impaired among older offspring (>16 years). Academic performance appeared to be unaffected. School behavior, occupational functioning, and QoL showed mixed results. Offspring psychopathology is associated with social functioning, but the relationship of offspring psychopathology with other domains is less clear. CONCLUSION Studies on functional outcome in offspring of parents with BD show predominantly mixed results. Inconsistent adjustment of psychopathology and age limits conclusive interpretation. Functional outcomes should be prioritized as research topics in high-risk studies and the potential associations between familial risk status, offspring psychopathology, and age may inform prevention strategies.
Collapse
Affiliation(s)
- Fleur G L Helmink
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Caroline L Vandeleur
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | | | - Manon H J Hillegers
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Esther Mesman
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands.
| |
Collapse
|
13
|
Turan S, Ermiş Ç, Eray Ş, Ağaç N, Aksoy S, Yüksel AS, Bezir Karaca A, Güler D, Tunçtürk M, Çıray RO, Mutlu C, Karaçetin G, Youngstrom EA, İnal N. Psychomotor agitation and irritability in adolescents with manic episode: Clinical data from three inpatient units. Clin Child Psychol Psychiatry 2023; 28:1266-1278. [PMID: 36052859 DOI: 10.1177/13591045221125331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVES We aimed to investigate the characteristics of adolescents with Bipolar disorder-I with irritability and agitation (Mania+IA) compared to those without irritability and agitation (Mania-IA) in a multi-center representative sample. METHODS Data of 145 patients from three tertiary-care inpatient units between 2016 and 2021 were obtained. Psychomotor agitation was defined as a score of ≥3 on the YMRS "Increased Motor Activity--Energy" item, irritability as a score of ≥4 on the YMRS 'irritability' item, and severity anchors of speech and thought disturbance on the YMRS '6 and 7' items. RESULTS Previous manic episodes (p = 0.013), involuntary hospitalization (p = 0.006), psychotic features (p = 0.001), formal thought disorder (p = 0.010) and aggressive/disruptive behavior (p = 0.021) were more frequent in the Mania+IA group. Conversely, depressive episodes (p = 0.006) and family history of depression (p = 0.024) were more frequent in the Mania-IA group. The Mania+IA had poorer functioning at the time of discharge. CONCLUSIONS Irritability and agitation were closely related to complications, psychotic symptoms and thought disorder. Assessment and monitoring of psychomotor agitation and irritability may help child and adolescent psychiatrists to predict clinical difficulties and appropriate interventions.
Collapse
Affiliation(s)
- Serkan Turan
- Department of Child and Adolescent Psychiatry, Uludag University School of Medicine, Bursa, Turkey
| | | | - Şafak Eray
- Department of Child and Adolescent Psychiatry, Uludag University School of Medicine, Bursa, Turkey
| | - Nilay Ağaç
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University School of Medicine, İzmir, Turkey
| | - Sena Aksoy
- Balıkesir Atatürk City Hospital, Balıkesir, Turkey
| | - Ayşe Sena Yüksel
- Department of Child and Adolescent Psychiatry, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, University of Health Sciences, Istanbul, Turkey
| | - Ayça Bezir Karaca
- Department of Child and Adolescent Psychiatry, Uludag University School of Medicine, Bursa, Turkey
| | - Duru Güler
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University School of Medicine, İzmir, Turkey
| | - Mustafa Tunçtürk
- Department of Child and Adolescent Psychiatry, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, University of Health Sciences, Istanbul, Turkey
| | | | - Caner Mutlu
- Department of Child and Adolescent Psychiatry, Uludag University School of Medicine, Bursa, Turkey
| | - Gül Karaçetin
- Department of Child and Adolescent Psychiatry, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, University of Health Sciences, Istanbul, Turkey
| | - Eric A Youngstrom
- Department of Psychology and Neuroscience, USA & Helping Give Away Psychological Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Neslihan İnal
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University School of Medicine, İzmir, Turkey
| |
Collapse
|
14
|
Hafeman DM, Merranko J, Joseph HM, Goldstein TR, Goldstein BI, Levenson J, Axelson D, Monk K, Sakolsky D, Iyengar S, Birmaher B. Early indicators of bipolar risk in preschool offspring of parents with bipolar disorder. J Child Psychol Psychiatry 2023; 64:1492-1500. [PMID: 36577710 PMCID: PMC10300228 DOI: 10.1111/jcpp.13739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/17/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Offspring of parents with bipolar disorder (BD-I/II) are at increased risk to develop the disorder. Previous work indicates that bipolar spectrum disorder (BPSD) is often preceded by mood/anxiety symptoms. In school-age offspring of parents with BD, we previously built a risk calculator to predict BPSD onset, which generates person-level risk scores. Here, we test whether preschool symptoms predict school-age BPSD risk. METHODS We assessed 113 offspring of parents with BD 1-3 times during preschool years (2-5 years old) and then approximately every 2 years for a mean of 10.6 years. We used penalized (lasso) regression with linear mixed models to assess relationships between preschool mood, anxiety, and behavioral symptoms (parent-reported) and school-age predictors of BPSD onset (i.e., risk score, subthreshold manic symptoms, and mood lability), adjusting for demographics and parental symptomatology. Finally, we conducted survival analyses to assess associations between preschool symptoms and school-age onset of BPSD and mood disorder. RESULTS Of 113 preschool offspring, 33 developed new-onset mood disorder, including 19 with new-onset BPSD. Preschool irritability, sleep problems, and parental factors were lasso-selected predictors of school-age risk scores. After accounting for demographic and parental factors, preschool symptoms were no longer significant. Lasso regressions to predict mood lability and subthreshold manic symptoms yielded similar predictors (irritability, sleep problems, and parental affective lability), but preschool symptoms remained predictive even after adjusting for parental factors (ps < .005). Exploratory analyses indicated that preschool irritability univariately predicted new-onset BPSD (p = .02) and mood disorder (p = .02). CONCLUSIONS These results provide initial prospective evidence that, as early as preschool, youth who will develop elevated risk scores, mood lability, and subthreshold manic symptoms are already showing symptomatology; these preschool symptoms also predict new-onset BPSD. While replication of findings in larger samples is warranted, results point to the need for earlier assessment of risk and development of early interventions.
Collapse
Affiliation(s)
- Danella M. Hafeman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - John Merranko
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Heather M. Joseph
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Tina R. Goldstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Benjamin I. Goldstein
- Center for Addiction and Mental Health, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada
| | - Jessica Levenson
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - David Axelson
- Nationwide Children’s Hospital and Ohio State College of Medicine, Columbus, OH
| | - Kelly Monk
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Dara Sakolsky
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| |
Collapse
|
15
|
Uher R, Pavlova B, Radua J, Provenzani U, Najafi S, Fortea L, Ortuño M, Nazarova A, Perroud N, Palaniyappan L, Domschke K, Cortese S, Arnold PD, Austin JC, Vanyukov MM, Weissman MM, Young AH, Hillegers MH, Danese A, Nordentoft M, Murray RM, Fusar‐Poli P. Transdiagnostic risk of mental disorders in offspring of affected parents: a meta-analysis of family high-risk and registry studies. World Psychiatry 2023; 22:433-448. [PMID: 37713573 PMCID: PMC10503921 DOI: 10.1002/wps.21147] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/17/2023] Open
Abstract
The offspring of parents with mental disorders are at increased risk for developing mental disorders themselves. The risk to offspring may extend transdiagnostically to disorders other than those present in the parents. The literature on this topic is vast but mixed. To inform targeted prevention and genetic counseling, we performed a comprehensive, PRISMA 2020-compliant meta-analysis. We systematically searched the literature published up to September 2022 to retrieve original family high-risk and registry studies reporting on the risk of mental disorders in offspring of parents with any type of mental disorder. We performed random-effects meta-analyses of the relative risk (risk ratio, RR) and absolute risk (lifetime, up to the age at assessment) of mental disorders, defined according to the ICD or DSM. Cumulative incidence by offspring age was determined using meta-analytic Kaplan-Meier curves. We measured heterogeneity with the I2 statistic, and risk of bias with the Quality In Prognosis Studies (QUIPS) tool. Sensitivity analyses addressed the impact of study design (family high-risk vs. registry) and specific vs. transdiagnostic risks. Transdiagnosticity was appraised with the TRANSD criteria. We identified 211 independent studies that reported data on 3,172,115 offspring of parents with psychotic, bipolar, depressive, disruptive, attention-deficit/hyperactivity, anxiety, substance use, eating, obsessive-compulsive, and borderline personality disorders, and 20,428,575 control offspring. The RR and lifetime risk of developing any mental disorder were 3.0 and 55% in offspring of parents with anxiety disorders; 2.6 and 17% in offspring of those with psychosis; 2.1 and 55% in offspring of those with bipolar disorder; 1.9 and 51% in offspring of those with depressive disorders; and 1.5 and 38% in offspring of those with substance use disorders. The offspring's RR and lifetime risk of developing the same mental disorder diagnosed in their parent were 8.4 and 32% for attention-deficit/hyperactivity disorder; 5.8 and 8% for psychosis; 5.1 and 5% for bipolar disorder; 2.8 and 9% for substance use disorders; 2.3 and 14% for depressive disorders; 2.3 and 1% for eating disorders; and 2.2 and 31% for anxiety disorders. There were 37 significant transdiagnostic associations between parental mental disorders and the RR of developing a different mental disorder in the offspring. In offspring of parents with psychosis, bipolar and depressive disorder, the risk of the same disorder onset emerged at 16, 5 and 6 years, and cumulated to 3%, 19% and 24% by age 18; and to 8%, 36% and 46% by age 28. Heterogeneity ranged from 0 to 0.98, and 96% of studies were at high risk of bias. Sensitivity analyses restricted to prospective family high-risk studies confirmed the pattern of findings with similar RR, but with greater absolute risks compared to analyses of all study types. This study demonstrates at a global, meta-analytic level that offspring of affected parents have strongly elevated RR and lifetime risk of developing any mental disorder as well as the same mental disorder diagnosed in the parent. The transdiagnostic risks suggest that offspring of parents with a range of mental disorders should be considered as candidates for targeted primary prevention.
Collapse
Affiliation(s)
- Rudolf Uher
- Dalhousie UniversityDepartment of PsychiatryHalifaxNSCanada
- Nova Scotia Health AuthorityHalifaxNSCanada
| | - Barbara Pavlova
- Dalhousie UniversityDepartment of PsychiatryHalifaxNSCanada
- Nova Scotia Health AuthorityHalifaxNSCanada
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Instituto de Salud Carlos IIIUniversity of BarcelonaBarcelonaSpain
| | - Umberto Provenzani
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | - Sara Najafi
- Dalhousie UniversityDepartment of PsychiatryHalifaxNSCanada
- Nova Scotia Health AuthorityHalifaxNSCanada
| | - Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Instituto de Salud Carlos IIIUniversity of BarcelonaBarcelonaSpain
| | - Maria Ortuño
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Instituto de Salud Carlos IIIUniversity of BarcelonaBarcelonaSpain
| | - Anna Nazarova
- Dalhousie UniversityDepartment of PsychiatryHalifaxNSCanada
- Nova Scotia Health AuthorityHalifaxNSCanada
| | - Nader Perroud
- Service of Psychiatric Specialties, Department of PsychiatryUniversity Hospitals of GenevaGenevaSwitzerland
- Department of PsychiatryUniversity of GenevaGenevaSwitzerland
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, Department of PsychiatryMcGill UniversityMontrealQBCanada
- Robarts Research InstituteWestern UniversityLondonONCanada
- Department of Medical BiophysicsWestern UniversityLondonONCanada
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center, Faculty of MedicineUniversity of FreiburgFreiburgGermany
| | - Samuele Cortese
- School of Psychology, and Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of MedicineUniversity of SouthamptonSouthamptonUK
- Solent NHS TrustSouthamptonUK
- Division of Psychiatry and Applied PsychologyUniversity of NottinghamNottinghamUK
- Hassenfeld Children's Hospital at NYU LangoneNew YorkNYUSA
| | - Paul D. Arnold
- Mathison Centre for Mental Health Research & EducationUniversity of CalgaryCalgaryALCanada
| | - Jehannine C. Austin
- Departments of Psychiatry and Medical GeneticsUniversity of British ColumbiaVancouverBCCanada
| | - Michael M. Vanyukov
- Departments of Pharmaceutical Sciences, Psychiatry, and Human GeneticsUniversity of PittsburghPittsburghPAUSA
| | - Myrna M. Weissman
- Department of Psychiatry, Vagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNYUSA
- Division of Translational EpidemiologyNew York State Psychiatric InstituteNew YorkNYUSA
- Mailman School of Public HealthColumbia UniversityNew YorkNYUSA
| | - Allan H. Young
- Centre for Affective Disorders, Institute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK
| | - Manon H.J. Hillegers
- Department of Child and Adolescent Psychiatry/PsychologyErasmus University Medical Center, Sophia Children's HospitalRotterdamThe Netherlands
| | - Andrea Danese
- Social, Genetic and Developmental Psychiatry Centre and Department of Child and Adolescent PsychiatryInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
- National and Specialist CAMHS Clinic for Trauma, Anxiety, and DepressionSouth London and Maudsley NHS Foundation TrustLondonUK
| | - Merete Nordentoft
- Copenhagen Research Center for Mental Health, Mental Health ServicesCapital Region of DenmarkCopenhagenDenmark
- Department of Clinical Medicine, Faculty of Health SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Paolo Fusar‐Poli
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
- Early Psychosis: Intervention and Clinical‐detection (EPIC) lab, Department of Psychosis StudiesKing's College LondonLondonUK
- Outreach and Support in South‐London (OASIS) NHS Foundation Trust, South London and Maudsley NHS Foundation TrustLondonUK
| |
Collapse
|
16
|
Danielyan A, Patino LR, Benanzer T, Blom TJ, Welge JA, Chang KD, Adler CM, DelBello MP. Cognitive, Family, and Quality-of-Life Characteristics of Youth with Depression Associated with Bipolar Disorder. J Child Adolesc Psychopharmacol 2023; 33:225-231. [PMID: 37590017 PMCID: PMC10458366 DOI: 10.1089/cap.2023.0002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
Background: Depression associated with bipolar disorder (BD) is more common compared to mania. Cognitive, family, and quality-of-life (QOL) factors associated with pediatric bipolar depression are understudied. The goal of this study was to evaluate cognitive, family environmental, and QOL characteristics of youth with bipolar depression. Methods: Thirty-two youth (12-18 years of age) with BD type I currently depressed were recruited from inpatient and outpatient setting. Subjects were assessed using the Behavior Rating Inventory of Executive Function (BRIEF), the Family Environment Scale (FES), and the Child Health Questionnaire-Parental-Form 50 (CHQ-PF50). Results were compared with population norms and the relationship between these domains was calculated. Results: Youth with depression associated with BD did not show significant impairment in executive functions. They displayed impaired family environment in the domains of cohesion, independence, achievement orientation, and organization. Youth also displayed impairments in the psychosocial health domains compared with the population normative data. The CHQ-Psychosocial health significantly negatively correlated with the BRIEF-Global Executive Control score (r = -0.76, p < 0.0001). Conclusion: Depression in youth with BD is associated with impairments in family functioning and QOL. Impairments in psychosocial QOL are associated with cognitive functioning. Further intervention studies examining executive functioning and family environment as treatment targets are needed. ClinicalTrials.gov identifier:NCT00232414.
Collapse
Affiliation(s)
- Arman Danielyan
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Luis R. Patino
- Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA
| | - Tessa Benanzer
- Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA
| | - Thomas J. Blom
- Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA
| | - Jeffrey A. Welge
- Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA
| | - Kiki D. Chang
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA
| | - Caleb M. Adler
- Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA
| | - Melissa P. DelBello
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA
| |
Collapse
|
17
|
Buckley V, Young AH, Smith P. Child and adolescent anxiety as a risk factor for bipolar disorder: A systematic review of longitudinal studies. Bipolar Disord 2023; 25:278-288. [PMID: 36949612 DOI: 10.1111/bdi.13322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
OBJECTIVES Several studies have suggested that anxiety disorders in childhood and adolescence often precede the onset of bipolar disorder. We therefore systematically reviewed the relationship between child and adolescent anxiety and later bipolar disorder. METHODS Online databases (Medline [for Ovid], EMBASE and PsychINFO) were searched for original, peer-reviewed studies examining the relationship between child and adolescent anxiety and later bipolar disorder. Studies in both community samples and bipolar offspring samples were included. RESULTS A total of 16 studies were included in the review. The results were broadly consistent and revealed that child and adolescent anxiety disorders are associated with later bipolar disorder in community samples. In bipolar offspring, child and adolescent anxiety disorders are a marker of increased risk and predict the onset of bipolar disorder and other major mood disorders. CONCLUSIONS There is evidence that anxiety disorders in childhood and adolescence increase the risk of later bipolar disorder. Anxiety disorders may be a useful target for early intervention in those at high-risk of bipolar disorder.
Collapse
Affiliation(s)
- Vanessa Buckley
- Department of Psychology, Institute of Psychology, Psychiatry and Neuroscience, King's College London, DeCrespigny Park, London, SE5 8AF, UK
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, DeCrespigny Park, London, SE5 8AF, UK
| | - Patrick Smith
- Department of Psychology, Institute of Psychology, Psychiatry and Neuroscience, King's College London, DeCrespigny Park, London, SE5 8AF, UK
| |
Collapse
|
18
|
Ge R, Sassi R, Yatham LN, Frangou S. Neuroimaging profiling identifies distinct brain maturational subtypes of youth with mood and anxiety disorders. Mol Psychiatry 2023; 28:1072-1078. [PMID: 36577839 PMCID: PMC10005933 DOI: 10.1038/s41380-022-01925-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 12/07/2022] [Accepted: 12/13/2022] [Indexed: 12/29/2022]
Abstract
Mood and anxiety disorders typically begin in adolescence and have overlapping clinical features but marked inter-individual variation in clinical presentation. The use of multimodal neuroimaging data may offer novel insights into the underlying brain mechanisms. We applied Heterogeneity Through Discriminative Analysis (HYDRA) to measures of regional brain morphometry, neurite density, and intracortical myelination to identify subtypes of youth, aged 9-10 years, with mood and anxiety disorders (N = 1931) compared to typically developing youth (N = 2823). We identified three subtypes that were robust to permutation testing and sample composition. Subtype 1 evidenced a pattern of imbalanced cortical-subcortical maturation compared to the typically developing group, with subcortical regions lagging behind prefrontal cortical thinning and myelination and greater cortical surface expansion globally. Subtype 2 displayed a pattern of delayed cortical maturation indicated by higher cortical thickness and lower cortical surface area expansion and myelination compared to the typically developing group. Subtype 3 showed evidence of atypical brain maturation involving globally lower cortical thickness and surface coupled with higher myelination and neural density. Subtype 1 had superior cognitive function in contrast to the other two subtypes that underperformed compared to the typically developing group. Higher levels of parental psychopathology, family conflict, and social adversity were common to all subtypes, with subtype 3 having the highest burden of adverse exposures. These analyses comprehensively characterize pre-adolescent mood and anxiety disorders, the biopsychosocial context in which they arise, and lay the foundation for the examination of the longitudinal evolution of the subtypes identified as the study sample transitions through adolescence.
Collapse
Affiliation(s)
- Ruiyang Ge
- Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Roberto Sassi
- Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,BC Children's Hospital, Vancouver, BC, Canada
| | - Lakshmi N Yatham
- Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Sophia Frangou
- Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada. .,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada. .,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| |
Collapse
|
19
|
Hafeman DM, Goldstein TR, Birmaher B. Early clinical staging: Why does it matter, and what do we know? Bipolar Disord 2023; 25:79-81. [PMID: 36591646 DOI: 10.1111/bdi.13290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Danella M Hafeman
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Tina R Goldstein
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| |
Collapse
|
20
|
Duffy A, Keown-Stoneman C. Staging the bipolar disorders: Are early stages too early a stage for intervention? Bipolar Disord 2023; 25:76-78. [PMID: 36479794 DOI: 10.1111/bdi.13281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Anne Duffy
- Queen's University, Kingston, Ontario, Canada.,Oxford University, Oxford, UK
| | - Charles Keown-Stoneman
- The HUB, Li Ka Shing Knowledge Institute, Unity Health Toronto (St. Michael's Hospital), Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
21
|
Sesso G, Brancati GE, Masi G. Comorbidities in Youth with Bipolar Disorder: Clinical Features and Pharmacological Management. Curr Neuropharmacol 2023; 21:911-934. [PMID: 35794777 PMCID: PMC10227908 DOI: 10.2174/1570159x20666220706104117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/14/2022] [Accepted: 06/13/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Bipolar Disorder (BD) is a highly comorbid condition, and rates of cooccurring disorders are even higher in youth. Comorbid disorders strongly affect clinical presentation, natural course, prognosis, and treatment. METHODS This review focuses on the clinical and treatment implications of the comorbidity between BD and Attention-Deficit/Hyperactivity Disorder, disruptive behavior disorders (Oppositional Defiant Disorder and/or Conduct Disorder), alcohol and substance use disorders, Autism Spectrum Disorder, anxiety disorders, Obsessive-Compulsive Disorder, and eating disorders. RESULTS These associations define specific conditions which are not simply a sum of different clinical pictures, but occur as distinct and complex combinations with specific developmental pathways over time and selective therapeutic requirements. Pharmacological treatments can improve these clinical pictures by addressing the comorbid conditions, though the same treatments may also worsen BD by inducing manic or depressive switches. CONCLUSION The timely identification of BD comorbidities may have relevant clinical implications in terms of symptomatology, course, treatment and outcome. Specific studies addressing the pharmacological management of BD and comorbidities are still scarce, and information is particularly lacking in children and adolescents; for this reason, the present review also included studies conducted on adult samples. Developmentally-sensitive controlled clinical trials are thus warranted to improve the prognosis of these highly complex patients, requiring timely and finely personalized therapies.
Collapse
Affiliation(s)
- Gianluca Sesso
- IRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiat., Calambrone (Pisa), Italy
| | | | - Gabriele Masi
- IRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiat., Calambrone (Pisa), Italy
| |
Collapse
|
22
|
Zou W, Song P, Lu W, Shao R, Zhang R, Yau SY, Yuan TF, Wang Y, Lin K. Global hippocampus functional connectivity as a predictive neural marker for conversion to future mood disorder in unaffected offspring of bipolar disorder parents. Asian J Psychiatr 2022; 78:103307. [PMID: 36332319 DOI: 10.1016/j.ajp.2022.103307] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 09/06/2022] [Accepted: 09/17/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Hippocampus-related functional alteration in genetically at-risk individuals may reflect an endophenotype of a mood disorder. Herein, we performed a prospective study to investigate whether baseline hippocampus functional connectivity (FC) in offspring of patients with bipolar disorder (BD) would predict subsequent conversion to mood disorder. METHODS Eighty bipolar offspring and 40 matched normal controls (NC) underwent resting state functional MRI (rsfMRI) scanning on a 3.0 Tesla MR scanner. The offspring were subdivided into asymptomatic offspring (AO) (n = 41) and symptomatic offspring (SO) (n = 39) according to whether they manifested subthreshold mood symptoms. After identifying the different hippocampus FCs between the AO and SO, a logistic regression analysis was conducted to investigate whether the baseline hippocampus FCs predicted a future mood disorder during a 6-year follow-up. RESULTS We identified seven baseline para/hippocampus FCs that showed differences between AO and SO, which were entered as predictive features in the logistic regressive model. Of the 80 bipolar offspring entering the analysis, the FCs between left hippocampus and left precuneus, and between right hippocampus and left posterior cingulate, showed a discriminative capacity for predicting future mood disorder (area-under-curve, or AUC=75.76 % and 75.00 % respectively), and for predicting BD onset (AUC=77.46 % and 81.63 %, respectively). CONCLUSIONS The present findings revealed high predictive utility of the hippocampus resting state FCs for future mood disorder and BD onset in individuals at familial risk. These neural markers can potentially improve early detection of individuals carrying particularly high risk for future mood disorder.
Collapse
Affiliation(s)
- Wenjin Zou
- Department of Radiology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Peilun Song
- School of Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Weicong Lu
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Robin Shao
- Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective, Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong
| | - Ruoxi Zhang
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Suk-Yu Yau
- Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong
| | - Ti-Fei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China.
| | - Yaping Wang
- School of Information Engineering, Zhengzhou University, Zhengzhou, China.
| | - Kangguang Lin
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; School of Health and Life Sciences, University of Health and Rehabilitation Sciences, No. 17, Shandong Road, Shinan district, Qingdao City, Shandong Province, China.
| |
Collapse
|
23
|
Risk of conversion to bipolar disorder in patients with late-onset major depression. Int Clin Psychopharmacol 2022; 37:234-241. [PMID: 35916593 DOI: 10.1097/yic.0000000000000421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
To evaluate the impact of age at onset on late-life depression course and on risk of conversion to bipolar disorder (BD). A retrospective chart review of 100 elderly patients (age ≥ 65 years) diagnosed with a moderate-to-severe depressive episode and followed up for at least 18 months was conducted. Among patients affected by major depressive disorder ( N = 57), follow-up morbidity differences between those with typical onset depression (TOD) (<60 years) and those with late-onset depression (LOD) (≥60 years) were investigated using Wilcoxon rank-sum test and Cox proportional hazard model. Patients belonging to the LOD group had a significantly lower percentage of follow-up time spent with depressive symptoms compared with patients with TOD ( r = 0.36; P = 0.006), but significantly more time spent with (hypo)manic episodes ( r = -0.31; P = 0.021). Moreover, LOD was significantly associated with a faster conversion to BD (hazard ratio = 3.05; P = 0.037). Depression first emerging in late life may represent an unstable condition with a high risk to convert to BD. Given the potential clinical implications, further studies on the course of LOD are required.
Collapse
|
24
|
Coradduzza D, Garroni G, Congiargiu A, Balzano F, Cruciani S, Sedda S, Nivoli A, Maioli M. MicroRNAs, Stem Cells in Bipolar Disorder, and Lithium Therapeutic Approach. Int J Mol Sci 2022; 23:ijms231810489. [PMID: 36142403 PMCID: PMC9502703 DOI: 10.3390/ijms231810489] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 09/06/2022] [Accepted: 09/08/2022] [Indexed: 11/22/2022] Open
Abstract
Bipolar disorder (BD) is a severe, chronic, and disabling neuropsychiatric disorder characterized by recurrent mood disturbances (mania/hypomania and depression, with or without mixed features) and a constellation of cognitive, psychomotor, autonomic, and endocrine abnormalities. The etiology of BD is multifactorial, including both biological and epigenetic factors. Recently, microRNAs (miRNAs), a class of epigenetic regulators of gene expression playing a central role in brain development and plasticity, have been related to several neuropsychiatric disorders, including BD. Moreover, an alteration in the number/distribution and differentiation potential of neural stem cells has also been described, significantly affecting brain homeostasis and neuroplasticity. This review aimed to evaluate the most reliable scientific evidence on miRNAs as biomarkers for the diagnosis of BD and assess their implications in response to mood stabilizers, such as lithium. Neural stem cell distribution, regulation, and dysfunction in the etiology of BD are also dissected.
Collapse
Affiliation(s)
| | - Giuseppe Garroni
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | | | - Francesca Balzano
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Sara Cruciani
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Stefania Sedda
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Alessandra Nivoli
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy
- Correspondence: (A.N.); (M.M.); Tel.: +39-079-228-277 (A.N.); +39-079-255-406-228350 (M.M.)
| | - Margherita Maioli
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
- Center for Developmental Biology and Reprogramming (CEDEBIOR), Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy
- Correspondence: (A.N.); (M.M.); Tel.: +39-079-228-277 (A.N.); +39-079-255-406-228350 (M.M.)
| |
Collapse
|
25
|
Epigenetic signatures relating to disease-associated genotypic burden in familial risk of bipolar disorder. Transl Psychiatry 2022; 12:310. [PMID: 35922419 PMCID: PMC9349272 DOI: 10.1038/s41398-022-02079-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 07/18/2022] [Accepted: 07/20/2022] [Indexed: 11/08/2022] Open
Abstract
Environmental factors contribute to risk of bipolar disorder (BD), but how environmental factors impact the development of psychopathology within the context of elevated genetic risk is unknown. We herein sought to identify epigenetic signatures operating in the context of polygenic risk for BD in young people at high familial risk (HR) of BD. Peripheral blood-derived DNA was assayed using Illumina PsychArray, and Methylation-450K or -EPIC BeadChips. Polygenic risk scores (PRS) were calculated using summary statistics from recent genome-wide association studies for BD, major depressive disorder (MDD) and cross-disorder (meta-analysis of eight psychiatric disorders). Unrelated HR participants of European ancestry (n = 103) were stratified based on their BD-PRS score within the HR-population distribution, and the top two quintiles (High-BD-PRS; n = 41) compared against the bottom two quintiles (Low-BD-PRS; n = 41). The High-BD-PRS stratum also had higher mean cross-disorder-PRS and MDD-PRS (ANCOVA p = 0.035 and p = 0.024, respectively). We evaluated DNA methylation differences between High-BD-PRS and Low-BD-PRS strata using linear models. One differentially methylated probe (DMP) (cg00933603; p = 3.54 × 10-7) in VARS2, a mitochondrial aminoacyl-tRNA synthetase, remained significantly hypomethylated after multiple-testing correction. Overall, BD-PRS appeared to broadly impact epigenetic processes, with 1,183 genes mapped to nominal DMPs (p < 0.05); these displayed convergence with genes previously associated with BD, schizophrenia, chronotype, and risk taking. We tested poly-methylomic epigenetic profiles derived from nominal DMPs in two independent samples (n = 54 and n = 82, respectively), and conducted an exploratory evaluation of the effects of family environment, indexing cohesion and flexibility. This study highlights an important interplay between heritable risk and epigenetic factors, which warrant further exploration.
Collapse
|
26
|
Badrfam R, Zandifar A, Barkhori Mehni M, Farid M, Rahiminejad F. Comorbidity of adult ADHD and substance use disorder in a sample of inpatients bipolar disorder in Iran. BMC Psychiatry 2022; 22:480. [PMID: 35854247 PMCID: PMC9295524 DOI: 10.1186/s12888-022-04124-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 06/24/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUNDS The study of the relationship between adult Attention deficit hyperactivity disorder (ADHD) and bipolar disorder has received more attention in recent years and there is limited information in this area. On the other hand, there is a significant comorbidity between ADHD and bipolar disorder with substance use disorder. In this study, we investigated the prevalence of comorbidity of adult ADHD and substance use disorder among a group of bipolar patients admitted to a psychiatric hospital. METHODS One hundred fifty patients from a total of 200 consecutive patients who were referred to the emergency department of Roozbeh Psychiatric Hospital in Tehran, diagnosed with bipolar disorder based on the initial psychiatric interview and needed hospitalization, were evaluated again by an experienced faculty member psychiatrist by using a subsequent interview based on the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition(DSM-5). They were evaluated using the Structured Clinical Interview for DSM-5 (SCID-5) questionnaire to confirm the diagnosis of bipolar disorder and the comorbidity of adult ADHD and substance use disorder. RESULTS From 150 patients diagnosed with bipolar disorder, 106 patients (70.7%) had adult ADHD. 89 patients (59.3%) had substance use disorder and 58 patients (38.7%) had both of these comorbidities with bipolar disorder. Comorbidity of adult ADHD was associated with the earlier onset of the first mood episode in bipolar disorder (p value = 0.025). There was no statistically significant relationship between substance use disorder and age of onset of the first episode. (P value = 0.57). CONCLUSIONS Due to the limitations of studies on adult ADHD comorbidity with bipolar disorder, especially in hospital settings, as well as the increased risk of association with substance use disorder, further multicenter studies in this area with larger sample sizes can increase awareness in this regard.
Collapse
Affiliation(s)
- Rahim Badrfam
- grid.411705.60000 0001 0166 0922Department of Psychiatry, Faculty of Medicine, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Atefeh Zandifar
- grid.411705.60000 0001 0166 0922Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran ,grid.411705.60000 0001 0166 0922Department of Psychiatry, Imam Hossein Hospital, Alborz University of Medical Sciences, Karaj, Iran
| | - Mahdi Barkhori Mehni
- grid.411705.60000 0001 0166 0922Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Malihe Farid
- grid.411705.60000 0001 0166 0922Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran ,grid.411705.60000 0001 0166 0922Non Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Fatemeh Rahiminejad
- Department of Psychiatry, Faculty of Medicine, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
27
|
Abstract
This article reviews the literature on the relationship between sleep deficiency and unipolar and bipolar depression, anxiety disorders, and posttraumatic stress disorder. We consider the evidence for sleep as a contributory causal factor in the development of psychiatric disorders, as well as sleep as an influential factor related to the outcome and recurrence of psychopathology. A case for sleep deficiency being an important treatment target when sleep and psychiatric disorders are comorbid is also made. Our recommendation is that sleep deficiency is recognized as a means to positively impact the development and course of psychopathology and, as such, is routinely assessed and treated in clinical practice.
Collapse
|
28
|
Musci RJ, Ballard ED, Stapp EK, Adams L, Wilcox HC, Ialongo N. Suicide attempt endophenotypes: Latent profiles of child and adolescent aggression and impulsivity differentially predict suicide attempt in females. Prev Med Rep 2022; 28:101829. [PMID: 35620051 PMCID: PMC9126944 DOI: 10.1016/j.pmedr.2022.101829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 04/06/2022] [Accepted: 05/10/2022] [Indexed: 01/07/2023] Open
Abstract
Suicide is a leading cause of death in young adulthood. Identifying early prevention targets to reduce later suicide is a public health priority. Impulsivity and aggression in early childhood may represent actionable early prevention candidate endophenotypes for later suicidal behavior. Our objective is to to understand the association of aggression and impulsivity trajectories with mental health outcomes to inform future prevention efforts. Participants were part of a longitudinal cohort of a preventative intervention trial (n = 597) and predominantly Black. They were assessed for aggressive and impulsive behaviors yearly in 1st-3rd and 6th-12th grades, and provided mental health data via self-report beginning in 6th grade. Longitudinal latent profiles of aggressive and impulsive behaviors were derived for males and females and used to determine whether profiles was associated with lifetime suicide attempt and meeting diagnostic criteria for major depressive disorder. Two impulsivity and aggression classes were found for males, characterized by low behaviors or moderate to high behaviors across development. Three classes were found for females, one of which was characterized by an undulating pattern of behaviors. For females, the class of severe behaviors was associated with significant risk of suicide attempt (Wald = 6.01, p = 0.05). No relationship was found for males or for MDD diagnosis. An endophenotype model of impulsivity and aggression in predicting later suicide attempt was supported in females, but not males. Results underscore the importance of evaluating sex differences in suicide research and the potential identification of females at risk for later suicidal behavior in school settings.
Collapse
Affiliation(s)
- Rashelle J. Musci
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA,Corresponding author.
| | - Elizabeth D. Ballard
- Experimental and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA,Division of Child and Adolescent Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Emma K. Stapp
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA,Genetic Epidemiology Research Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Leslie Adams
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Holly C. Wilcox
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA,Division of Child and Adolescent Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicholas Ialongo
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| |
Collapse
|
29
|
McCarthy MJ, Gottlieb JF, Gonzalez R, McClung CA, Alloy LB, Cain S, Dulcis D, Etain B, Frey BN, Garbazza C, Ketchesin KD, Landgraf D, Lee H, Marie‐Claire C, Nusslock R, Porcu A, Porter R, Ritter P, Scott J, Smith D, Swartz HA, Murray G. Neurobiological and behavioral mechanisms of circadian rhythm disruption in bipolar disorder: A critical multi-disciplinary literature review and agenda for future research from the ISBD task force on chronobiology. Bipolar Disord 2022; 24:232-263. [PMID: 34850507 PMCID: PMC9149148 DOI: 10.1111/bdi.13165] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
AIM Symptoms of bipolar disorder (BD) include changes in mood, activity, energy, sleep, and appetite. Since many of these processes are regulated by circadian function, circadian rhythm disturbance has been examined as a biological feature underlying BD. The International Society for Bipolar Disorders Chronobiology Task Force (CTF) was commissioned to review evidence for neurobiological and behavioral mechanisms pertinent to BD. METHOD Drawing upon expertise in animal models, biomarkers, physiology, and behavior, CTF analyzed the relevant cross-disciplinary literature to precisely frame the discussion around circadian rhythm disruption in BD, highlight key findings, and for the first time integrate findings across levels of analysis to develop an internally consistent, coherent theoretical framework. RESULTS Evidence from multiple sources implicates the circadian system in mood regulation, with corresponding associations with BD diagnoses and mood-related traits reported across genetic, cellular, physiological, and behavioral domains. However, circadian disruption does not appear to be specific to BD and is present across a variety of high-risk, prodromal, and syndromic psychiatric disorders. Substantial variability and ambiguity among the definitions, concepts and assumptions underlying the research have limited replication and the emergence of consensus findings. CONCLUSIONS Future research in circadian rhythms and its role in BD is warranted. Well-powered studies that carefully define associations between BD-related and chronobiologically-related constructs, and integrate across levels of analysis will be most illuminating.
Collapse
Affiliation(s)
- Michael J. McCarthy
- UC San Diego Department of Psychiatry & Center for Circadian BiologyLa JollaCaliforniaUSA
- VA San Diego Healthcare SystemSan DiegoCaliforniaUSA
| | - John F. Gottlieb
- Department of PsychiatryFeinberg School of MedicineNorthwestern UniversityChicagoIllinoisUSA
| | - Robert Gonzalez
- Department of Psychiatry and Behavioral HealthPennsylvania State UniversityHersheyPennsylvaniaUSA
| | - Colleen A. McClung
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Lauren B. Alloy
- Department of PsychologyTemple UniversityPhiladelphiaPennsylvaniaUSA
| | - Sean Cain
- School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
| | - Davide Dulcis
- UC San Diego Department of Psychiatry & Center for Circadian BiologyLa JollaCaliforniaUSA
| | - Bruno Etain
- Université de ParisINSERM UMR‐S 1144ParisFrance
| | - Benicio N. Frey
- Department Psychiatry and Behavioral NeuroscienceMcMaster UniversityHamiltonOntarioCanada
| | - Corrado Garbazza
- Centre for ChronobiologyPsychiatric Hospital of the University of Basel and Transfaculty Research Platform Molecular and Cognitive NeurosciencesUniversity of BaselBaselSwitzerland
| | - Kyle D. Ketchesin
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Dominic Landgraf
- Circadian Biology GroupDepartment of Molecular NeurobiologyClinic of Psychiatry and PsychotherapyUniversity HospitalLudwig Maximilian UniversityMunichGermany
| | - Heon‐Jeong Lee
- Department of Psychiatry and Chronobiology InstituteKorea UniversitySeoulSouth Korea
| | | | - Robin Nusslock
- Department of Psychology and Institute for Policy ResearchNorthwestern UniversityChicagoIllinoisUSA
| | - Alessandra Porcu
- UC San Diego Department of Psychiatry & Center for Circadian BiologyLa JollaCaliforniaUSA
| | | | - Philipp Ritter
- Clinic for Psychiatry and PsychotherapyCarl Gustav Carus University Hospital and Technical University of DresdenDresdenGermany
| | - Jan Scott
- Institute of NeuroscienceNewcastle UniversityNewcastleUK
| | - Daniel Smith
- Division of PsychiatryUniversity of EdinburghEdinburghUK
| | - Holly A. Swartz
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Greg Murray
- Centre for Mental HealthSwinburne University of TechnologyMelbourneVictoriaAustralia
| |
Collapse
|
30
|
Perich T, Kakakios K, Conti J. Experiences of a transdiagnostic anxiety cognitive behaviour therapy group for people living with bipolar disorder: a qualitative study. CLIN PSYCHOL-UK 2022. [DOI: 10.1080/13284207.2022.2049442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Tania Perich
- School of Psychology, Western Sydney University, Penrith, NSW, Australia
| | - Kelly Kakakios
- School of Psychology, Western Sydney University, Penrith, NSW, Australia
| | - Janet Conti
- School of Psychology, Western Sydney University, Penrith, NSW, Australia
| |
Collapse
|
31
|
Brickman HM, Fristad MA. Psychosocial Treatments for Bipolar Disorder in Children and Adolescents. Annu Rev Clin Psychol 2022; 18:291-327. [PMID: 35216522 DOI: 10.1146/annurev-clinpsy-072220-021237] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Evidence suggests that adjunctive psychosocial intervention for the treatment of pediatric bipolar spectrum disorders (BPSDs) is effective, feasible, and highly accepted as both an acute and maintenance treatment for youth with BPSD diagnoses as well as a preventive treatment for high-risk youth who are either asymptomatic or exhibit subsyndromal mood symptoms. Here, we provide a comprehensive review of all known evidence-based interventions, including detailed descriptions of treatment targets and core components, results of clinical trials, and updated research on mediators and moderators of treatment efficacy. Treatments are presented systematically according to level of empirical support (i.e., well established, probably efficacious, possibly efficacious, experimental, or questionable); upcoming and ongoing trials are included when possible. In line with a staging approach, preventive interventions are presented separately. Recommendations for best practices based on age, stage, and additional evidence-based child and family factors shown to affect treatment outcomes are provided. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 18 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
Collapse
Affiliation(s)
- Haley M Brickman
- Big Lots Behavioral Health Services and Division of Child and Family Psychiatry, Nationwide Children's Hospital, Columbus, Ohio; ,
| | - Mary A Fristad
- Big Lots Behavioral Health Services and Division of Child and Family Psychiatry, Nationwide Children's Hospital, Columbus, Ohio; ,
| |
Collapse
|
32
|
Scott J, Etain B, Miklowitz D, Crouse JJ, Carpenter J, Marwaha S, Smith D, Merikangas K, Hickie I. A systematic review and meta-analysis of sleep and circadian rhythms disturbances in individuals at high-risk of developing or with early onset of bipolar disorders. Neurosci Biobehav Rev 2022; 135:104585. [PMID: 35182537 PMCID: PMC8957543 DOI: 10.1016/j.neubiorev.2022.104585] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 02/09/2022] [Accepted: 02/13/2022] [Indexed: 11/27/2022]
Abstract
Sleep and circadian rhythms disturbances (SCRD) in young people at high risk or with early onset of bipolar disorders (BD) are poorly understood. We systematically searched for studies of self, observer or objective estimates of SCRD in asymptomatic or symptomatic offspring of parents with BD (OSBD), individuals with presentations meeting recognized BD-at-risk criteria (BAR) and youth with recent onset of full-threshold BD (FT-BD). Of 76 studies eligible for systematic review, 35 (46%) were included in random effects meta-analyses. Pooled analyses of self-ratings related to circadian rhythms demonstrated greater preference for eveningness and more dysregulation of social rhythms in BAR and FT-BD groups; analyses of actigraphy provided some support for these findings. Meta-analysis of prospective studies showed that pre-existing SCRD were associated with a 40% increased risk of onset of BD, but heterogeneity in assessments was a significant concern. Overall, we identified longer total sleep time (Hedges g: 0.34; 95% confidence intervals:.1,.57), especially in OSBD and FT-BD and meta-regression analysis indicated the effect sizes was moderated by the proportion of any sample manifesting psychopathology or receiving psychotropic medications. This evolving field of research would benefit from greater attention to circadian rhythm as well as sleep quality measures.
Collapse
Affiliation(s)
- Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, NE1 7RU, UK.
| | - Bruno Etain
- Université de Paris, Paris, France; AP-HP Nord, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - David Miklowitz
- Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute, David Geffen School of Medicine at UCLA, Los Angeles, USA
| | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, 94-100 Mallett Street, Camperdown, 2050, NSW, Australia
| | - Joanne Carpenter
- Brain and Mind Centre, University of Sydney, 94-100 Mallett Street, Camperdown, 2050, NSW, Australia
| | - Steven Marwaha
- Institute for Mental Health, University of Birmingham, and Birmingham and Solihull Mental Health Trust, UK
| | - Daniel Smith
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Kathleen Merikangas
- Genetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, USA
| | - Ian Hickie
- Brain and Mind Centre, University of Sydney, 94-100 Mallett Street, Camperdown, 2050, NSW, Australia
| |
Collapse
|
33
|
Keramatian K, Chakrabarty T, Saraf G, Yatham LN. Transitioning to bipolar disorder: A systematic review of prospective high-risk studies. Curr Opin Psychiatry 2022; 35:10-21. [PMID: 34812740 DOI: 10.1097/yco.0000000000000762] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Bipolar disorder is a highly heritable condition, which can progress from an asymptomatic period in at-risk individuals to a potentially debilitating illness. Identifying individuals who are at a high risk of developing bipolar disorder may provide an opportunity for early intervention to improve outcomes. The main objective of this systematic review is to provide an overview of prospective studies that evaluated the incidence and predictors of transitioning to bipolar disorder among high-risk individuals. RECENT FINDINGS Twenty-three publications from 16 cohorts were included in the final review. Most studies focused on familial high-risk groups, while others either used clinical or a combination of clinical and genetic risk factors. The follow-up length was from 1 to 21 years and the rate of conversion to bipolar disorder was between 8 and 25% among different studies. Overall, the results suggest that a combination of genetic and clinical risk factors; namely, subthreshold (hypo)manic symptoms and elevated depressive symptoms, may be required to optimally predict conversion to bipolar disorder. SUMMARY The concept of high-risk for bipolar disorder is still in its infancy. Further discussions are needed to work towards an expert consensus on the high-risk criteria for bipolar disorder, taking into account both clinical and genetic risk factors.
Collapse
Affiliation(s)
- Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | | |
Collapse
|
34
|
Bisdounis L, Saunders KEA, Farley HJ, Lee CK, McGowan NM, Espie CA, Kyle SD. Psychological and behavioural interventions in bipolar disorder that target sleep and circadian rhythms: A systematic review of randomised controlled trials. Neurosci Biobehav Rev 2022; 132:378-390. [PMID: 34871635 DOI: 10.1016/j.neubiorev.2021.12.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 11/18/2021] [Accepted: 12/01/2021] [Indexed: 01/10/2023]
Abstract
Sleep and circadian disruptions are prominent symptoms of bipolar disorder (BD) and potential targets for adjunctive interventions. The aim of this review was to appraise the effectiveness of psychological and behavioural interventions in BD that target sleep and circadian rhythms, as reported by randomised controlled trials. Nineteen studies met the inclusion/exclusion criteria. They were summarised via narrative synthesis and meta-analysis wherever appropriate. Six studies delivered bright light therapy, five interpersonal and social rhythm therapy, two blue-light blocking glasses, one cognitive behavioural therapy for insomnia, one total sleep deprivation, and four combination treatments. More than half of the studies (N = 10, 52 %) did not measure sleep or circadian rhythms despite being the principal target of the intervention. Overall, the evidence base for the effectiveness of these interventions was limited. There was a small number of studies for each intervention, and a lack of consistency in protocols and outcomes. Meta-analysis was possible for the effect of bright light therapy on depression, revealing a medium-to-large post-treatment effect (Nc = 6; g=-0.74 [95 % CI=-1.05 to -0.42], p < 0.001).
Collapse
Affiliation(s)
- Lampros Bisdounis
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom; Department of Psychiatry, Warneford Hospital, University of Oxford, United Kingdom.
| | - Kate E A Saunders
- Department of Psychiatry, Warneford Hospital, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
| | - Hannah J Farley
- Clinical Medical School, Medical Sciences Division, Academic Centre, John Radcliffe Hospital, University of Oxford, United Kingdom
| | - Charlotte K Lee
- Clinical Medical School, Medical Sciences Division, Academic Centre, John Radcliffe Hospital, University of Oxford, United Kingdom
| | - Niall M McGowan
- Department of Psychiatry, Warneford Hospital, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
| | - Colin A Espie
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Simon D Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| |
Collapse
|
35
|
Benevenuto D, Saxena K, Fries GR, Valvassori SS, Kahlon R, Saxena J, Kurian S, Zeni CP, Kazimi IF, Scaini G, Soares JC, Quevedo J. Alterations in plasma kynurenine pathway metabolites in children and adolescents with bipolar disorder and unaffected offspring of bipolar parents: A preliminary study. Bipolar Disord 2021; 23:689-696. [PMID: 33098737 DOI: 10.1111/bdi.13027] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 10/01/2020] [Accepted: 10/19/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND There has been growing scientific evidence in recent years that bipolar disorder (BD) is associated with alterations in the kynurenine (KYN) pathway. However, many of these studies have been limited by their focus on adults. Thus, this preliminary study investigated differences in the peripheral levels of KYN metabolites in children and adolescents with BD, unaffected offspring of parents with BD, and healthy controls (HCs). METHODS Plasma samples were collected from 49 youths with BD, 19 bipolar offspring, and 31 HCs. Tryptophan (TRP), KYN, and kynurenic acid (KYNA) were separated using electrospray ionization. RESULTS One-Way ANCOVA after controlling for age, gender, race, BMI-for-age, and smoking status showed that BD had lower levels of KYN, while unaffected high-risk offspring subjects had lower levels of TRP, KYN, and KYNA when compared to HCs. Moreover, we found that KYN, KYN/TRP, and KYNA/KYN levels predicted the severity of depressive symptoms, while the YMRS score was not associated with any metabolite. CONCLUSIONS In summary, this preliminary study has shown that KYN metabolites are decreased in both affected and unaffected subjects, strengthening the idea that the KYN pathway might underlie the familial risk of BD shown by high-risk offspring individuals. However, longitudinal studies are needed to examine whether the alterations observed in this study represent early markers of risk for later developing BD.
Collapse
Affiliation(s)
- Deborah Benevenuto
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Kirti Saxena
- Department of Psychiatry, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Gabriel R Fries
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Samira S Valvassori
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Ramandeep Kahlon
- Department of Psychiatry, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Johanna Saxena
- Department of Psychiatry, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Sherin Kurian
- Department of Psychiatry, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Cristian P Zeni
- Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Iram F Kazimi
- Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Giselli Scaini
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Jair C Soares
- Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - João Quevedo
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
- Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| |
Collapse
|
36
|
Kupka R, Duffy A, Scott J, Almeida J, Balanzá‐Martínez V, Birmaher B, Bond DJ, Brietzke E, Chendo I, Frey BN, Grande I, Hafeman D, Hajek T, Hillegers M, Kauer‐Sant’Anna M, Mansur RB, van der Markt A, Post R, Tohen M, Tremain H, Vazquez G, Vieta E, Yatham LN, Berk M, Alda M, Kapczinski F. Consensus on nomenclature for clinical staging models in bipolar disorder: A narrative review from the International Society for Bipolar Disorders (ISBD) Staging Task Force. Bipolar Disord 2021; 23:659-678. [PMID: 34174130 PMCID: PMC9290926 DOI: 10.1111/bdi.13105] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVES Clinical staging is widely used in medicine to map disease progression, inform prognosis, and guide treatment decisions; in psychiatry, however, staging remains a hypothetical construct. To facilitate future research in bipolar disorders (BD), a well-defined nomenclature is needed, especially since diagnosis is often imprecise with blurred boundaries, and a full understanding of pathophysiology is lacking. METHODS Under the auspices of the International Society of Bipolar Disorders, a Task Force of international experts was convened to review, discuss, and integrate findings from the scientific literature relevant to the development of a consensus staging model and standardize a terminology that could be used to advance future research including staging of BD and related disorders. RESULTS Consensus opinion and areas of uncertainty or difference were identified in regard to terms referring to staging as it may apply to BD, to at-risk status and subthreshold stages, and to various clinical stages of BD as it is currently diagnosed. CONCLUSION The use of a standardized nomenclature about the clinical stages of BD will facilitate communication about research on clinical and pathological components of this heterogeneous group of disorders. The concepts presented are based on current evidence, but the template provided allows for further refinements as etiological advances come to light.
Collapse
Affiliation(s)
- Ralph Kupka
- Department of PsychiatryAmsterdam Public Mental Health Research InsituteAmsterdam UMCVrije UniversiteitAmsterdamThe Netherlands
| | - Anne Duffy
- Department of PsychiatryDivision of Student Mental HealthQueen's UniversityCote Sharp Student Wellness CentreKingstonONCanada,Department of PsychiatryUniversity of OxfordOxfordUK
| | - Jan Scott
- Institute of NeuroscienceNewcastle UniversityNewcastle upon TyneUK,Brain and Mind CentreThe University of SydneySydneyNSWAustralia
| | - Jorge Almeida
- Department of Psychiatry and Behavior SciencesDell Medical SchoolUniversity of Texas at AustinAustinTXUSA
| | - Vicent Balanzá‐Martínez
- Teaching Unit of Psychiatry and Psychological MedicineDepartment of MedicineUniversity of ValenciaCIBERSAMValenciaSpain
| | | | - David J. Bond
- Department of Psychiatry and Behavioral SciencesUniversity of Minnesota Medical SchoolMinneapolisMNUSA
| | - Elisa Brietzke
- Department of PsychiatryQueen's University School of MedicineKingstonONCanada,Centre for Neuroscience StudiesQueen’s UniversityKingstonONCanada
| | - Ines Chendo
- Psychiatry DepartmentDepartment of NeurosciencesHospital Santa MariaLisbonPortugal,Clínica Universitária de PsiquiatriaFaculty of MedicineUniversity of LisbonLisbonPortugal
| | - Benicio N. Frey
- Department of Psychiatry and Behavioural NeurosciencesMcMaster UniversityHamiltonONCanada,Mood Disorders Program and Women's Health Concerns ClinicSt. Joseph's Healthcare HamiltonHamiltonONCanada
| | - Iria Grande
- Barcelona Bipolar Disorders and Depressive UnitHospital ClinicInstitute of NeurosciencesUniversity of BarcelonaIDIBAPSCIBERSAMBarcelonaSpain
| | - Danella Hafeman
- Department of PsychiatryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Tomas Hajek
- Department of PsychiatryDalhousie UniversityHalifaxNSCanada
| | - Manon Hillegers
- Department of Child and Adolescent Psychiatry/PsychologyErasmus Medical Center‐Sophia Children’s HospitalRotterdamThe Netherlands
| | - Marcia Kauer‐Sant’Anna
- Department of PsychiatryFaculty of MedicineUniversidade Federal do Rio Grande do Sul (UFRGSHospital de Clínicas de Porto Alegre (HCPAPorto AlegreBrazil
| | - Rodrigo B. Mansur
- Mood Disorders Psychopharmacology UnitUniversity Health NetworkTorontoONCanada,Department of PsychiatryUniversity of TorontoTorontoONCanada
| | - Afra van der Markt
- Department of PsychiatryAmsterdam Public Mental Health Research InsituteAmsterdam UMCVrije UniversiteitAmsterdamThe Netherlands
| | - Robert Post
- George Washington University School of MedicineWashingtonDCUSA,Bipolar Collaborative NetworkBethesdaMDUSA
| | - Mauricio Tohen
- Department of Psychiatry and Behavioral SciencesUniversity of New Mexico Health Sciences CenterAlbuquerqueNMUSA
| | - Hailey Tremain
- Centre for Mental HealthFaculty of Health Arts and DesignSwinburne UniversityMelbourneVicAustralia,OrygenThe National Centre of Excellence in Youth Mental HealthParkvilleVicAustralia
| | | | - Eduard Vieta
- Hospital ClinicInstitute of NeuroscienceUniversity of BarcelonaIDIBAPSCIBERSAMBarcelonaSpain
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverBCCanada
| | - Michael Berk
- IMPACT – the Institute for Mental and Physical Health and Clinical TranslationSchool of MedicineBarwon HealthDeakin UniversityGeelongVicAustralia,OrygenThe National Centre of Excellence in Youth Mental HealthCentre for Youth Mental HealthFlorey Institute for Neuroscience and Mental HealthDepartment of PsychiatryThe University of MelbourneMelbourneVicAustralia
| | - Martin Alda
- Department of PsychiatryMood Disorders ClinicDalhousie UniversityHalifaxNCCanada
| | - Flávio Kapczinski
- St. Joseph’s Healthcare Hamilton McMaster UniversityHamiltonONCanada,Universidade Federal do Rio Grande do SulUFRGSPorto AlegreBrazil
| |
Collapse
|
37
|
Birmaher B, Merranko J, Hafeman D, Goldstein BI, Diler R, Levenson JC, Monk K, Iyengar S, Hickey MB, Sakolsky D, Axelson D, Goldstein T. A Longitudinal Study of Psychiatric Disorders in Offspring of Parents With Bipolar Disorder From Preschool to Adolescence. J Am Acad Child Adolesc Psychiatry 2021; 60:1419-1429. [PMID: 33785405 PMCID: PMC8473582 DOI: 10.1016/j.jaac.2021.02.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 01/25/2021] [Accepted: 02/19/2021] [Indexed: 02/09/2023]
Abstract
OBJECTIVE To compare the prevalence of psychopathology, particularly bipolar disorder (BD), between preschool offspring of parents with BD and community controls. METHOD A total of 116 offspring of BD-I/II parents and 98 controls (53 parents with non-BD psychopathology and 45 healthy parents) were recruited at ages 2 to 5 years and followed on average 9.6 years (on average: 2-5: 1.6 times; after age 5: 4 times) (average ages at intake/last follow-up: 3.8/13.4, retention: 98%). Participants were evaluated with standardized instruments blinded to parental diagnoses. RESULTS After adjusting for confounders, offspring of BD parents only showed more attention-deficit/hyperactivity disorder (ADHD) during ages 2 to 5 years than the other 2 groups. After age 5, offspring of BD parents did not differ from offspring of parents with non-BD psychopathology, but they had more anxiety, ADHD, and behavior problems than offspring of healthy parents. Only offspring of BD parents developed BD-I/II: 3.4% (n = 4) and BD-not-otherwise-specified (BD-NOS): 11.2% (n = 13), with mean onset ages 11.4 and 7.4, respectively. About 70% of offspring with BD had non-BD disorders before BD. Only ADHD, diagnosed before age 6 years, and early-onset parental BD were significantly associated with BD risk. CONCLUSION Most offspring of BD parents did not develop BD, but they were at specific high risk for developing BD, particularly those with preschool ADHD and early-onset parental BD. BD symptoms were scarce during the preschool years and increased throughout the school age, mainly in the form of BD-NOS, a disorder that conveys poor prognosis and high risk to develop BD-I/II. Developing early interventions to delay or, ideally, to prevent its onset are warranted.
Collapse
Affiliation(s)
- Boris Birmaher
- Drs. Birmaher, Hafeman, Diler, Levenson, Sakolsky, Goldstein, Mr. Merranko, and Mss. Monk and Hickey are with Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania.
| | - John Merranko
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Danella Hafeman
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Benjamin I. Goldstein
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Rasim Diler
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Jessica C. Levenson
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Kelly Monk
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | | | - Mary Beth Hickey
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Dara Sakolsky
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - David Axelson
- Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus
| | - Tina Goldstein
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania.; Center for Addiction and Mental Health, University of Toronto Faculty of Medicine, Ontario, Canada
| |
Collapse
|
38
|
Wang R, Cai Y, Li J, Yau SY, Lu W, Stubbs B, Su KP, Xu G, So KF, Lin K, Qi LW. Effects of aerobic exercise on gut microbiota in adolescents with subthreshold mood syndromes and healthy adolescents: A 12-week, randomized controlled trial. J Affect Disord 2021; 293:363-372. [PMID: 34233229 DOI: 10.1016/j.jad.2021.06.025] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 06/05/2021] [Accepted: 06/14/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Animal and human studies have revealed reciprocal association between exercise and gut-brain axis. However, the clinical evidence from randomized controlled trials (RCT) are still limited to directly assess the effects of aerobic exercise on gut microbiota. To fill this gap, we conducted this 12-week RCT in both groups of adolescents with and without sub-threshold mood symptoms. METHODS A total of 224 adolescents were randomized to the aerobic exercise intervention or psychoeducation-controlled arm. 49 adolescents with subthreshold symptoms and 142 clinically-well adolescents provided the sample for microbiota assessed by metagenomic sequencing. Aerobic exercise of running at the moderate-intensity for 30 min per day, 5 days a week, were conducted for 12 weeks. RESULTS Adolescents with subthreshold symptoms had significantly lower beta diversity than clinically-well adolescents in both the exercise intervention and psychoeducation-controlled arms (p<0.05). After intervention, no difference in gut microbiota diversity, phylum, genus, species level abundancies or gut microbial functions were found in both of the symptomatic or non-symptomatic groups. Metagenome-wide association study analysis showed no significant difference in metagenomic linkage groups. LIMITATIONS The sample size is relatively small. The exercise intensity we employed may be insufficient to result in observable effects on intestinal microbiota. CONCLUSION We conclude that a 12-week moderate-intensity aerobic exercise intervention showed no significant beneficial effect on the gut microbiota in clinically-well adolescents as well as in adolescents with subthreshold symptoms. The beta diversity of gut microbiota in adolescents with subthreshold mood syndromes may be impaired when compared with clinically-well adolescents.
Collapse
Affiliation(s)
- Runhua Wang
- Department of Affective Disorders, The Affiliated Hospital of Guangzhou Medical University, Guangzhou (Guangzhou Huiai Hospital), China; Academician workstation of Mood and Brain Sciences, Guangzhou Medical University, Guangzhou, China
| | - Yuanyuan Cai
- School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing
| | - Jing Li
- School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing
| | - Suk-Yu Yau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Weicong Lu
- Department of Affective Disorders, The Affiliated Hospital of Guangzhou Medical University, Guangzhou (Guangzhou Huiai Hospital), China
| | - Brendon Stubbs
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Kuan-Pin Su
- Department of Psychiatry & Mind-Body Interface Laboratory (MBI-Lab), China Medical University Hospital, Taichung, Taiwan; An-Nan Hospital, China Medical University, Tainan, Taiwan
| | - Guiyun Xu
- Department of Affective Disorders, The Affiliated Hospital of Guangzhou Medical University, Guangzhou (Guangzhou Huiai Hospital), China
| | - Kwok-Fai So
- Academician workstation of Mood and Brain Sciences, Guangzhou Medical University, Guangzhou, China.; Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China.
| | - Kangguang Lin
- Department of Affective Disorders, The Affiliated Hospital of Guangzhou Medical University, Guangzhou (Guangzhou Huiai Hospital), China; Academician workstation of Mood and Brain Sciences, Guangzhou Medical University, Guangzhou, China..
| | - Lian-Wen Qi
- School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing.
| |
Collapse
|
39
|
Brancati GE, Perugi G, Milone A, Masi G, Sesso G. Development of bipolar disorder in patients with attention-deficit/hyperactivity disorder: A systematic review and meta-analysis of prospective studies. J Affect Disord 2021; 293:186-196. [PMID: 34217137 DOI: 10.1016/j.jad.2021.06.033] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 06/07/2021] [Accepted: 06/19/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Increasing attention has been recently paid to precursors of bipolar disorder (BD). Symptoms of attention-deficit/hyperactivity disorder (ADHD) have been reported among the most common prodromes of BD. The aim of this study was to estimate the risk of BD in youths affected by ADHD based on prospective studies. METHODS A systematic review was conducted according to the PRISMA guidelines. A meta-analysis of single proportions was performed to compute the overall occurrence of BD in ADHD individuals. Binary outcome data were used to calculate risk estimates of BD occurrence in ADHD subjects versus Healthy Controls (HC). RESULTS An overall proportion of BD occurrence of 10.01% (95%-confidence interval [CI]: 6.47%-15.19%; I2 = 82.0%) was found among 1248 patients with ADHD over 10 prospective studies. A slightly higher proportion was found when excluding one study based on jack-knife sensitivity analysis (11.96%, 95%-CI: 9.15%-15.49%; I2 = 54.1%) and in three offspring studies (12.87%, 95%-CI: 8.91%-18.23%). BD occurrence was not significantly associated with mean follow-up duration (p-value = 0.2118). A greater risk of BD occurrence in ADHD versus HC from six studies was found (risk ratio: 8.97, 95%-CI: 4.26-18.87, p-value < 0.0001). LIMITATIONS Few prospective studies have been retrieved in our search and most were not specifically aimed at assessing BD in followed-up ADHD patients. CONCLUSIONS Greater clinical attention should be paid to ADHD as an early precursor of BD since a substantial proportion of ADHD patients is expected to be diagnosed with BD during the developmental age.
Collapse
Affiliation(s)
| | - Giulio Perugi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
| | - Annarita Milone
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy
| | - Gabriele Masi
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy
| | - Gianluca Sesso
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy; Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy
| |
Collapse
|
40
|
Scott J, Vorspan F, Loftus J, Bellivier F, Etain B. Using density of antecedent events and trajectory path analysis to investigate family-correlated patterns of onset of bipolar I disorder: a comparison of cohorts from Europe and USA. Int J Bipolar Disord 2021; 9:29. [PMID: 34595593 PMCID: PMC8484401 DOI: 10.1186/s40345-021-00234-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 08/17/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Major contributors to the global burden of bipolar disorders (BD) are the early age at onset (AAO) and the co-occurrence of non-mood disorders before and after the onset of BD. Using data from two independent cohorts from Europe and the USA, we investigated whether the trajectories of BD-I onset and patterns of psychiatric comorbidities differed in (a) individuals with or without a family history (FH) of BD, or (b) probands and parents who both had BD-I. METHODS First, we estimated cumulative probabilities and AAO of comorbid mental disorders in familial and non-familial cases of BD-I (Europe, n = 573), and sex-matched proband-parent pairs of BD-I cases (USA, n = 194). Then we used time to onset analyses to compare overall AAO of BD-I and AAO according to onset polarity. Next, we examined associations between AAO and polarity of onset of BD-I according to individual experiences of comorbidities. This included analysis of the density of antecedent events (defined as the number of antecedent comorbidities per year of exposure to mental illness per individual) and time trend analysis of trajectory paths plotted for the subgroups included in each cohort (using R2 goodness of fit analysis). RESULTS Earlier AAO of BD-I was found in FH versus non-FH cases (log rank test = 7.63; p = 0.006) and in probands versus parents with BD-I (log rank test = 15.31; p = 0.001). In the European cohort, AAO of BD-I was significantly associated with factors such as: FH of BD (hazard ratio [HR]: 0.60), earlier AAO of first non-mood disorder (HR: 0.93) and greater number of comorbidities (HR: 0.74). In the USA cohort, probands with BD-I had an earlier AAO for depressive and manic episodes and AAO was also associated with e.g., number of comorbidities (HR: 0.65) and year of birth (HR: 2.44). Trajectory path analysis indicated significant differences in density of antecedents between subgroups within each cohort. However, the time trend R2 analysis was significantly different for the European cohort only. CONCLUSIONS Estimating density of antecedent events and comparing trajectory plots for different BD subgroups are informative adjuncts to established statistical approaches and may offer additional insights that enhance understanding of the evolution of BD-I.
Collapse
Affiliation(s)
- Jan Scott
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.,Université de Paris, Paris, France
| | - Florence Vorspan
- Université de Paris, Paris, France.,AP-HP, Département de Psychiatrie et de Médecine Addictologique, GH Saint-Louis-Lariboisière-Fernand-Widal, DMU Neurosciences Tête et Cou, Paris, France.,Inserm UMRS 1144, Université de Paris, Paris, France
| | - Josephine Loftus
- Centre Expert Trouble Bipolaire, Hospital Princesse Grace, Monaco, Monaco
| | - Frank Bellivier
- Université de Paris, Paris, France.,AP-HP, Département de Psychiatrie et de Médecine Addictologique, GH Saint-Louis-Lariboisière-Fernand-Widal, DMU Neurosciences Tête et Cou, Paris, France.,Inserm UMRS 1144, Université de Paris, Paris, France
| | - Bruno Etain
- Université de Paris, Paris, France. .,AP-HP, Département de Psychiatrie et de Médecine Addictologique, GH Saint-Louis-Lariboisière-Fernand-Widal, DMU Neurosciences Tête et Cou, Paris, France. .,Inserm UMRS 1144, Université de Paris, Paris, France.
| |
Collapse
|
41
|
Duffy A. A comment on an important question in psychiatry (QuiP): Whether paediatric bipolar disorder a valid diagnosis? Bipolar Disord 2021; 23:626-627. [PMID: 34310806 DOI: 10.1111/bdi.13117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 07/20/2021] [Indexed: 01/22/2023]
Affiliation(s)
- Anne Duffy
- Department of Psychiatry, Queen's University, Kingston, ON, Canada.,Department of Psychiatry, University of Oxford, Oxford, UK
| |
Collapse
|
42
|
Keown-Stoneman CD, Goodday SM, Preisig M, Vandeleur C, Castelao E, Grof P, Horrocks J, King N, Duffy A. Development and validation of a risk calculator for major mood disorders among the offspring of bipolar parents using information collected in routine clinical practice. EClinicalMedicine 2021; 39:101083. [PMID: 34466794 PMCID: PMC8382986 DOI: 10.1016/j.eclinm.2021.101083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Family history is a significant risk factor for bipolar disorders (BD), but the magnitude of risk varies considerably between individuals within and across families. Accurate risk estimation may increase motivation to reduce modifiable risk exposures and identify individuals appropriate for monitoring over the peak risk period. Our objective was to develop and independently replicate an individual risk calculator for bipolar spectrum disorders among the offspring of BD parents using data collected in routine clinical practice. METHODS Data from the longitudinal Canadian High-Risk Offspring cohort study collected from 1996 to 2020 informed the development of a 5 and 10-year risk calculator using parametric time-to-event models with a cure fraction and a generalized gamma distribution. The calculator was then externally validated using data from the Lausanne-Geneva High-Risk Offspring cohort study collected from 1996 to 2020. A time-varying C-index by age in years was used to estimate the probability that the model correctly classified risk. Bias corrected estimates and 95% confidence limits were derived using a jackknife resampling approach. FINDINGS The primary outcome was age of onset of a major mood disorder. The risk calculator was most accurate at classifying risk in mid to late adolescence in the Canadian cohort (n = 285), and a similar pattern was replicated in the Swiss cohort (n = 128). Specifically, the time-varying C-index indicated that there was approximately a 70% chance that the model would correctly predict which of two 15-year-olds would be more likely to develop the outcome in the future. External validation within a smaller Swiss cohort showed mixed results. INTERPRETATION Findings suggest that this model may be a useful clinical tool in routine practice for improved individualized risk estimation of bipolar spectrum disorders among the adolescent offspring of a BD parent; however, risk estimation in younger high-risk offspring is less accurate, perhaps reflecting the evolving nature of psychopathology in early childhood. Based on external validation with a Swiss cohort, the risk calculator may not be as predictive in more heterogenous high-risk populations. FUNDING The Canadian High-Risk Study has been funded by consecutive operating grants from the Canadian Institutes for Health Research, currently CIHR PJT Grant 152796 he Lausanne-Geneva high-risk study was and is supported by five grants from the Swiss National Foundation (#3200-040,677, #32003B-105,969, #32003B-118,326, #3200-049,746 and #3200-061,974), three grants from the Swiss National Foundation for the National Centres of Competence in Research project "The Synaptic Bases of Mental Diseases" (#125,759, #158,776, and #51NF40 - 185,897), and a grant from GlaxoSmithKline Clinical Genetics.
Collapse
Affiliation(s)
- Charles D.G. Keown-Stoneman
- Applied Health Research Centre (AHRC), Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
| | - Sarah M. Goodday
- Department of Psychiatry, University of Oxford, Oxford, UK
- 4YouandMe, Seattle, USA
| | - Martin Preisig
- Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne. Lausanne, Switzerland
| | - Caroline Vandeleur
- Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne. Lausanne, Switzerland
| | - Enrique Castelao
- Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne. Lausanne, Switzerland
| | - Paul Grof
- Mood Disorders Centre of Ottawa, Ottawa, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Julie Horrocks
- Department of Mathematics and Statistics, Guelph University, Ontario, Canada
| | - Nathan King
- Department of Public Health Sciences, Queen's University, Ontario, Canada
| | - Anne Duffy
- Department of Psychiatry, University of Oxford, Oxford, UK
- Mood Disorders Centre of Ottawa, Ottawa, Ontario, Canada
- Department of Psychiatry, Queen's University, Ontario, Canada
- Corresponding author.
| |
Collapse
|
43
|
Scott J, Crouse JJ, Ho N, Carpenter J, Martin N, Medland S, Parker R, Byrne E, Couvy-Duchesne B, Mitchell B, Merikangas K, Gillespie NA, Hickie I. Can network analysis of self-reported psychopathology shed light on the core phenomenology of bipolar disorders in adolescents and young adults? Bipolar Disord 2021; 23:584-594. [PMID: 33638252 PMCID: PMC8387492 DOI: 10.1111/bdi.13067] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 01/13/2021] [Accepted: 02/21/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Network analysis is increasingly applied to psychopathology research. We used it to examine the core phenomenology of emerging bipolar disorder (BD I and II) and 'at risk' presentations (major depression with a family history of BD). METHODOLOGY The study sample comprised a community cohort of 1867 twin and nontwin siblings (57% female; mean age ~26) who had completed self-report ratings of (i) depression-like, hypomanic-like and psychotic-like experiences; (ii) family history of BD; and (iii) were assessed for mood and psychotic syndromes using the Composite International Diagnostic Interview (CIDI). Symptom networks were compared for recent onset BD versus other cohort members and then for individuals at risk of BD (depression with/without a family history of BD). RESULTS The four key symptoms that differentiated recent onset BD from other cohort members were: anergia, psychomotor speed, hypersomnia and (less) loss of confidence. The four key symptoms that differentiated individuals at high risk of BD from unipolar depression were anergia, psychomotor speed, impaired concentration and hopelessness. However, the latter network was less stable and more error prone. CONCLUSIONS We are encouraged by the overlaps between our findings and those from two recent publications reporting network analyses of BD psychopathology, especially as the studies recruited from different populations and employed different network models. However, the advantages of applying network analysis to youth mental health cohorts (which include many individuals with multimorbidity) must be weighed against the disadvantages including basic issues such as judgements regarding the selection of items for inclusion in network models.
Collapse
Affiliation(s)
- Jan Scott
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
- Institute of Neuroscience, Newcastle University, Newcastle, United Kingdom
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Nicholas Ho
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Joanne Carpenter
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Nicholas Martin
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Sarah Medland
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Richard Parker
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Enda Byrne
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Baptiste Couvy-Duchesne
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Paris Brain Institute, INRIA ARAMIS lab, Paris, France
| | - Brittany Mitchell
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- School of Biomedical Science and Institute of Health and Biomedical Innovation, Faculty of Health, Queensland University of Technology (QUT), Brisbane, Australia
| | - Kathleen Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, USA
| | - Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond VA, USA
| | - Ian Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| |
Collapse
|
44
|
Hafeman DM, Goldstein TR, Strober JM, Merranko J, Gill MK, Liao F, Diler RS, Ryan ND, Goldstein BI, Axelson DA, Keller MB, Hunt JI, Hower H, Weinstock LM, Yen S, Birmaher B. Prospectively ascertained mania and hypomania among young adults with child- and adolescent-onset bipolar disorder. Bipolar Disord 2021; 23:463-473. [PMID: 33340226 PMCID: PMC8213864 DOI: 10.1111/bdi.13034] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 10/05/2020] [Accepted: 11/13/2020] [Indexed: 01/17/2023]
Abstract
OBJECTIVES While adults with bipolar disorder (BD) often report symptoms starting in childhood, continuity of mania and/or hypomania (mania/hypomania) from childhood to adulthood has been questioned. Using longitudinal data from the Course and Outcome of Bipolar Youth (COBY) study, we assessed threshold mania/hypomania in young adults who manifested BD as youth. METHODS COBY is a naturalistic, longitudinal study of 446 youth with BD (84% recruited from outpatient clinics), 7-17 years old at intake, and over 11 years of follow-up. Focusing on youth with BD-I/II (n = 297), we examined adult mania/hypomania risk (>18 years old; mean 7.9 years of follow-up) according to child (<13 years old) versus adolescent (13-17 years old) onset. We next used penalized regression to test demographic and clinical predictors of young adult mania/hypomania. RESULTS Most participants (64%) had child-onset mania/hypomania, 57% of whom also experienced mania/hypomania in adolescence. Among those who experienced an episode in adolescence, over 40% also had mania/hypomania during adulthood; the risk did not differ according to child versus adolescent onset. In contrast, 7% with mania/hypomania in childhood, but not adolescence, experienced mania/hypomania in adulthood. Family history (of mania and suicide attempts) predicted mania/hypomania in young adulthood (p-values <0.05); age of onset was not a significant predictor. Among participants with no mania/hypomania during adulthood, 53% (105/198) still experienced subthreshold manic episodes. DISCUSSION We find substantial continuity across developmental stage indicating that, in this carefully characterized sample, children who experience mania/hypomania-particularly those who also experience mania/hypomania in adolescence-are likely to experience mania/hypomania in young adulthood.
Collapse
Affiliation(s)
- Danella M. Hafeman
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Tina R. Goldstein
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - J Michael Strober
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles, 760 Westwood Plaza, Mail Code 175919, Los Angeles, CA, 90095, USA
| | - John Merranko
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Fangzi Liao
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Rasim S. Diler
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Neal D. Ryan
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Benjamin I. Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, 2075 Bayview Ave., FG-53, Toronto, ON, M4N-3M5, Canada
| | - David A. Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, 1670 Upham Dr., Columbus, OH, 43210, USA
| | - Martin B. Keller
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA,Butler Hospital, 700 Butler Drive, Providence, RI, 02906, USA
| | - Jeffrey I. Hunt
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA,Bradley Hospital, 1011 Veterans Memorial Parkway, East Providence, RI, 02915, USA
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA,Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Providence, RI, 02903, USA,Department of Psychiatry, School of Medicine, University of California San Diego, San Diego, CA, 92123, USA
| | - Lauren M. Weinstock
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA,Butler Hospital, 700 Butler Drive, Providence, RI, 02906, USA
| | - Shirley Yen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA,Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| |
Collapse
|
45
|
Cooper A, Horrocks J, Goodday S, Keown-Stoneman C, Duffy A. Predicting the risk and timing of major mood disorder in offspring of bipolar parents: exploring the utility of a neural network approach. Int J Bipolar Disord 2021; 9:22. [PMID: 34195908 PMCID: PMC8245610 DOI: 10.1186/s40345-021-00228-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 05/27/2021] [Indexed: 12/23/2022] Open
Abstract
Background Bipolar disorder onset peaks over early adulthood and confirmed family history is a robust risk factor. However, penetrance within families varies and most children of bipolar parents will not develop the illness. Individualized risk prediction would be helpful for identifying those young people most at risk and to inform targeted intervention. Using prospectively collected data from the Canadian Flourish High-risk Offspring cohort study available in routine practice, we explored the use of a neural network, known as the Partial Logistic Artificial Neural Network (PLANN) to predict the time to diagnosis of major mood disorders in 1, 3 and 5-year intervals. Results Overall, for predictive performance, PLANN outperformed the more traditional discrete survival model for 3-year and 5-year predictions. PLANN was better able to discriminate or rank individuals based on their risk of developing a major mood disorder, better able to predict the probability of developing a major mood disorder and better able to identify individuals who would be diagnosed in future time intervals. The average AUC achieved by PLANN for 5-year prediction was 0.74, which indicates good discrimination. Conclusions This evaluation of PLANN is a useful step in the investigation of using neural networks as tools in the prediction of mood disorders in at-risk individuals and the potential that neural networks have in this field. Future research is needed to replicate these findings in a separate high-risk offspring sample. Supplementary Information The online version contains supplementary material available at 10.1186/s40345-021-00228-2.
Collapse
Affiliation(s)
- Alysha Cooper
- Department of Mathematics and Statistics, University of Guelph, Guelph, ON, Canada
| | - Julie Horrocks
- Department of Mathematics and Statistics, University of Guelph, Guelph, ON, Canada
| | - Sarah Goodday
- Department of Psychiatry, University of Oxford, Oxford, UK.,4YouandMe, Seattle, USA
| | | | - Anne Duffy
- Department of Psychiatry, University of Oxford, Oxford, UK. .,Department of Psychiatry, Queen's University, Kingston, ON, Canada.
| |
Collapse
|
46
|
Post RM, Grunze H. The Challenges of Children with Bipolar Disorder. MEDICINA (KAUNAS, LITHUANIA) 2021; 57:medicina57060601. [PMID: 34207966 PMCID: PMC8230664 DOI: 10.3390/medicina57060601] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/08/2021] [Accepted: 06/09/2021] [Indexed: 02/05/2023]
Abstract
Childhood onset bipolar disorder (CO-BD) presents a panoply of difficulties associated with early recognition and treatment. CO-BD is associated with a variety of precursors and comorbidities that have been inadequately studied, so treatment remains obscure. The earlier the onset, the longer is the delay to first treatment, and both early onset and treatment delay are associated with more depressive episodes and a poor prognosis in adulthood. Ultra-rapid and ultradian cycling, consistent with a diagnosis of BP-NOS, are highly prevalent in the youngest children and take long periods of time and complex treatment regimens to achieve euthymia. Lithium and atypical antipsychotics are effective in mania, but treatment of depression remains obscure, with the exception of lurasidone, for children ages 10-17. Treatment of the common comorbid anxiety disorders, oppositional defiant disorders, pathological habits, and substance abuse are all poorly studied and are off-label. Cognitive dysfunction after a first manic hospitalization improves over the next year only on the condition that no further episodes occur. Yet comprehensive expert treatment after an initial manic hospitalization results in many fewer relapses than traditional treatment as usual, emphasizing the need for combined pharmacological, psychosocial, and psycho-educational approaches to this difficult and highly recurrent illness.
Collapse
Affiliation(s)
- Robert M. Post
- School of Medicine, George Washington University, Washington, DC 20052, USA
- Bipolar Collaborative Network, 5415 W. Cedar Lane, Suite 201-B, Bethesda, MD 20814, USA
- Correspondence:
| | - Heinz Grunze
- Psychiatrie Schwäbisch Hall, Campus ZfPG, 74523 Schwäbisch Hall, Germany;
- Campus Nuremberg-Nord, Paracelsus Medical University, 90419 Nuremberg, Germany
| |
Collapse
|
47
|
Del Favero E, Montemagni C, Bozzatello P, Brasso C, Riccardi C, Rocca P. The Management of Prodromal Symptoms of Bipolar Disorder: Available Options and Future Perspectives. ACTA ACUST UNITED AC 2021; 57:medicina57060545. [PMID: 34071356 PMCID: PMC8229021 DOI: 10.3390/medicina57060545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/23/2021] [Accepted: 05/24/2021] [Indexed: 12/14/2022]
Abstract
The onset of prodromal symptoms in subjects who are at familial or clinical risk for bipolar disorder could be considered as an important alarm bell for the development of the disease and should be carefully detected. The management of prodromes in bipolar high-risk patients appears to be an important means of prevention; nevertheless, at the moment, there aren’t clear and widely shared treatment indications. The aim of this review is to summarize the available treatment options (pharmacological, psychosocial and nutraceutical) for the management of prodromal symptoms in subjects who are at familial or clinical risk for bipolar disorder.
Collapse
Affiliation(s)
- Elisa Del Favero
- Dipartimento di Neuroscienze “Rita Levi Montalcini”, Università degli Studi di Torino, Via Cherasco 11, 10126 Turin, Italy; (E.D.F.); (P.B.); (C.B.); (C.R.)
| | - Cristiana Montemagni
- Dipartimento di Neuroscienze e Salute Mentale, A.O.U. Città Della Salute e Della Scienza, via Cherasco 11, 10126 Turin, Italy;
| | - Paola Bozzatello
- Dipartimento di Neuroscienze “Rita Levi Montalcini”, Università degli Studi di Torino, Via Cherasco 11, 10126 Turin, Italy; (E.D.F.); (P.B.); (C.B.); (C.R.)
| | - Claudio Brasso
- Dipartimento di Neuroscienze “Rita Levi Montalcini”, Università degli Studi di Torino, Via Cherasco 11, 10126 Turin, Italy; (E.D.F.); (P.B.); (C.B.); (C.R.)
| | - Cecilia Riccardi
- Dipartimento di Neuroscienze “Rita Levi Montalcini”, Università degli Studi di Torino, Via Cherasco 11, 10126 Turin, Italy; (E.D.F.); (P.B.); (C.B.); (C.R.)
| | - Paola Rocca
- Dipartimento di Neuroscienze “Rita Levi Montalcini”, Università degli Studi di Torino, Via Cherasco 11, 10126 Turin, Italy; (E.D.F.); (P.B.); (C.B.); (C.R.)
- Dipartimento di Neuroscienze e Salute Mentale, A.O.U. Città Della Salute e Della Scienza, via Cherasco 11, 10126 Turin, Italy;
- Correspondence:
| |
Collapse
|
48
|
Charatcharungkiat N, Luby J, Tillman R, Vogel A. The association between manic symptoms in adolescence and preschool symptoms: The importance of family history. Bipolar Disord 2021; 23:303-311. [PMID: 33450097 PMCID: PMC8169556 DOI: 10.1111/bdi.13046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 11/10/2020] [Accepted: 12/22/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVES First, to investigate whether specific manic symptoms in preschool predict manic symptom severity in adolescence. Second, to investigate the interaction between family history (FH) of bipolar disorder (BP) and preschool manic symptoms in predicting later adolescent manic symptom severity. METHODS This analysis utilized data from the Preschool Depression Study (PDS) which followed 306 preschoolers aged 3-6 years over time since 2003. Only subjects who had data both at baseline (age 3-6 years) and at or after age 12 were included (n = 122). Baseline manic symptom severity scores and diagnoses were assessed by the Preschool Age Psychiatric Assessment (PAPA). Manic symptoms severity at age ≥12 was assessed by the Kiddie Mania Rating Scale (KMRS). FH were ascertained by Family Interview for Genetic Studies (FIGS). Multilevel models of KMRS total score at age ≥12 by preschool mania symptoms with gender, baseline age, baseline ADHD, as well as baseline MDD diagnosis as covariates, and false discovery rate correction were used in statistical analysis. RESULTS Hypertalkativity, flight of ideas, uninhibited gregariousness, decreased need for sleep (DNFS), and increased motor pressure/ motor activity/ energy in preschool were associated with increased KMRS score at age ≥12. Racing thoughts, inappropriate laughing, and DNFS in early childhood were associated with higher manic symptoms in adolescence in subjects with FH of BP compared to those without FH. CONCLUSION The longitudinal clinical importance of displaying manic symptoms (racing thoughts, inappropriate laughing, and DNFS) in early childhood varies by FH. Among the aforementioned symptoms, DNFS was a robust predictor of later manic symptoms. Assessing FH of BP is very important in clinical risk prediction from early childhood.
Collapse
Affiliation(s)
- Natchanan Charatcharungkiat
- Early Emotional Development Program, William Greenleaf Eliot Division of Child and Adolescent Psychiatry, Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Joan Luby
- Early Emotional Development Program, William Greenleaf Eliot Division of Child and Adolescent Psychiatry, Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Rebecca Tillman
- Early Emotional Development Program, William Greenleaf Eliot Division of Child and Adolescent Psychiatry, Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Alecia Vogel
- Early Emotional Development Program, William Greenleaf Eliot Division of Child and Adolescent Psychiatry, Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| |
Collapse
|
49
|
Lu W, Kennedy KG, Sultan A, Fiksenbaum LM, Dimick MK, Toma S, Goldstein BI. Clinical and neurostructural characteristics among youth with familial and non-familial bipolar disorder: Family history and youth bipolar disorder. J Affect Disord 2021; 282:1315-1322. [PMID: 33601710 DOI: 10.1016/j.jad.2020.12.146] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 10/31/2020] [Accepted: 12/23/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is highly heritable and often severe, particularly when illness onset occurs early in life. There is limited knowledge regarding the clinical and neurostructural correlates of family history of BD among youth with BD. METHODS Clinical characteristics were evaluated in 197 youth with BD, ages 13-20 years, including 87 with familial BD and 110 with non-familial BD. Structural neuroimaging was examined in a subsample of familial BD (n=39), non-familial BD (n=42), and healthy control (HC, n=58) youth. Region of interest (ROI) analyses of anterior cingulate cortex (ACC), inferior frontal gyrus (IFG), and amygdala were complemented by whole-brain vertex-wise analyses. RESULTS Youth with familial BD had more family history of other psychiatric disorders, less severe worst manic episode, and less treatment with lithium, selective serotonin reuptake inhibitor (SSRI) antidepressants, and any lifetime psychiatric medications. None of these findings survived after correction for multiple comparisons. There were no significant between-group differences in ROI analyses. In whole-brain analyses, significant differences in cortical thickness were as follows: familial and non-familial BD < HC in left precentral gyrus and right inferior parietal lobe; familial BD < HC in left superior frontal gyrus; non-familial BD < HC in right precentral gyrus. LIMITATIONS Relatives did not complete full diagnostic interviews. CONCLUSIONS There were relatively few differences in clinical and neurostructural correlates related to family history of BD in youth with BD. Current findings suggest that family history of BD is not a strong contributor to the clinical or neuroimaging phenotypes in youth with BD.
Collapse
Affiliation(s)
- Weicong Lu
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, M6J 1H4, Canada; Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, No. 36 MingXin Road, LiWan District, Guangzhou, Guangdong, 510370, China; Postgraduate Medical Education, University of Toronto, ON, 602-500 University Avenue Toronto, ON, M5G 1V7, Canada
| | - Kody G Kennedy
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, M6J 1H4, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Science Building, Rm 4207 1 King's College Circle, Toronto, ON, M5S 1A8, Canada
| | - Alysha Sultan
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, M6J 1H4, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Science Building, Rm 4207 1 King's College Circle, Toronto, ON, M5S 1A8, Canada
| | - Lisa M Fiksenbaum
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, M6J 1H4, Canada
| | - Mikaela K Dimick
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, M6J 1H4, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Science Building, Rm 4207 1 King's College Circle, Toronto, ON, M5S 1A8, Canada
| | - Simina Toma
- Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, ON, M5T 1R8, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, M6J 1H4, Canada; Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, ON, M5T 1R8, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Science Building, Rm 4207 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.
| |
Collapse
|
50
|
Scaini G, Andrews T, Lima CNC, Benevenuto D, Streck EL, Quevedo J. Mitochondrial dysfunction as a critical event in the pathophysiology of bipolar disorder. Mitochondrion 2021; 57:23-36. [PMID: 33340709 PMCID: PMC10494232 DOI: 10.1016/j.mito.2020.12.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 11/18/2020] [Accepted: 12/10/2020] [Indexed: 01/02/2023]
Abstract
The understanding of the pathophysiology of bipolar disorder (BD) remains modest, despite recent advances in neurobiological research. The mitochondrial dysfunction hypothesis of bipolar disorder has been corroborated by several studies involving postmortem brain analysis, neuroimaging, and specific biomarkers in both rodent models and humans. Evidence suggests that BD might be related to abnormal mitochondrial morphology and dynamics, neuroimmune dysfunction, and atypical mitochondrial metabolism and oxidative stress pathways. Mitochondrial dysfunction in mood disorders is also associated with abnormal Ca2+ levels, glutamate excitotoxicity, an imbalance between pro- and antiapoptotic proteins towards apoptosis, abnormal gene expression of electron transport chain complexes, and decreased ATP synthesis. This paper aims to review and discuss the implications of mitochondrial dysfunction in BD etiology and to explore mitochondria as a potential target for novel therapeutic agents.
Collapse
Affiliation(s)
- Giselli Scaini
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, TX, USA
| | - Taylor Andrews
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, TX, USA
| | - Camila N C Lima
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, TX, USA
| | - Deborah Benevenuto
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, TX, USA
| | - Emilio L Streck
- Laboratory of Experimental Neurology, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - João Quevedo
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, TX, USA; Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil; Center of Excellence on Mood Disorders, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, TX, USA; Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, TX, USA.
| |
Collapse
|