Literature DB >> 25700556

What clinical features precede the onset of bipolar disorder?

Tania Perich1, Phoebe Lau1, Dusan Hadzi-Pavlovic1, Gloria Roberts1, Andrew Frankland1, Adam Wright1, Melissa Green2, Michael Breakspear3, Justine Corry1, Basia Radlinska1, Clare McCormack1, Cassandra Joslyn1, Florence Levy4, Rhoshel Lenroot5, John I Nurnberger Jnr6, Philip B Mitchell7.   

Abstract

Despite a growing number of reports, there is still limited knowledge of the clinical features that precede the onset of bipolar disorder (BD). To explore this, we investigated baseline data from a prospectively evaluated longitudinal cohort of subjects aged 12-30 years to compare: first, lifetime rates of clinical features between a) subjects at increased genetic risk for developing BD ('AR'), b) participants from families without mental illness ('controls'), and c) those with established BD; and, second, prior clinical features that predict the later onset of affective disorders in these same three groups. This is the first study to report such comparisons between these three groups (though certainly not the first to compare AR and control samples). 118 AR participants with a parent or sibling with BD (including 102 with a BD parent), 110 controls, and 44 BD subjects were assessed using semi-structured interviews. AR subjects had significantly increased lifetime risks for depressive, anxiety and behavioural disorders compared to controls. Unlike prior reports, preceding anxiety and behavioural disorders were not found to increase risk for later onset of affective disorders in the AR sample, perhaps due to limited sample size. However, preceding behavioural disorders did predict later onset of affective disorders in the BD sample. The findings that i) AR subjects had higher rates of depressive, anxiety and behavioural disorders compared to controls, and ii) prior behavioural disorders increased the risk to later development of affective disorders in the BD group, suggest the possibility of therapeutic targeting for these disorders in those at high genetic risk for BD.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adolescent; At risk; Bipolar disorder; Genetic; High risk; Psychopathology

Mesh:

Year:  2015        PMID: 25700556     DOI: 10.1016/j.jpsychires.2015.01.017

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  12 in total

1.  Traumatic Stress Interacts With Bipolar Disorder Genetic Risk to Increase Risk for Suicide Attempts.

Authors:  Holly C Wilcox; Janice M Fullerton; Anne L Glowinski; Kelly Benke; Masoud Kamali; Leslie A Hulvershorn; Emma K Stapp; Howard J Edenberg; Gloria M P Roberts; Neera Ghaziuddin; Carrie Fisher; Christine Brucksch; Andrew Frankland; Claudio Toma; Alex D Shaw; Elizabeth Kastelic; Leslie Miller; Melvin G McInnis; Philip B Mitchell; John I Nurnberger
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2017-10-10       Impact factor: 8.829

2.  Substance use disorders in adolescent and young adult relatives of probands with bipolar disorder: What drives the increased risk?

Authors:  Leslie A Hulvershorn; Jennifer King; Patrick O Monahan; Holly C Wilcox; Philip B Mitchell; Janice M Fullerton; Howard J Edenberg; Gloria M P Roberts; Masoud Kamali; Anne L Glowinski; Neera Ghaziuddin; Melvin McInnis; Priya A Iyer-Eimerbrink; John I Nurnberger
Journal:  Compr Psychiatry       Date:  2017-07-27       Impact factor: 3.735

3.  Factor analysis of temperament and personality traits in bipolar patients: Correlates with comorbidity and disorder severity.

Authors:  Frank Qiu; Hagop S Akiskal; John R Kelsoe; Tiffany A Greenwood
Journal:  J Affect Disord       Date:  2016-10-02       Impact factor: 4.839

4.  Patterns and predictors of family environment among adolescents at high and low risk for familial bipolar disorder.

Authors:  Emma K Stapp; Rashelle J Musci; Janice M Fullerton; Anne L Glowinski; Melvin McInnis; Philip B Mitchell; Leslie A Hulvershorn; Neera Ghaziuddin; Gloria M P Roberts; Kathleen R Merikangas; John I Nurnberger; Holly C Wilcox
Journal:  J Psychiatr Res       Date:  2019-05-03       Impact factor: 4.791

Review 5.  Prevalence of psychopathology in bipolar high-risk offspring and siblings: a meta-analysis.

Authors:  Phoebe Lau; David J Hawes; Caroline Hunt; Andrew Frankland; Gloria Roberts; Philip B Mitchell
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-09-21       Impact factor: 4.785

6.  A Systematic Review and Meta-Analysis of the Risk of Disruptive Behavioral Disorders in the Offspring of Parents with Severe Psychiatric Disorders.

Authors:  Getinet Ayano; Kim Betts; Joemer Calderon Maravilla; Rosa Alati
Journal:  Child Psychiatry Hum Dev       Date:  2021-02

7.  Structural dysconnectivity of key cognitive and emotional hubs in young people at high genetic risk for bipolar disorder.

Authors:  G Roberts; A Perry; A Lord; A Frankland; V Leung; E Holmes-Preston; F Levy; R K Lenroot; P B Mitchell; M Breakspear
Journal:  Mol Psychiatry       Date:  2016-12-20       Impact factor: 15.992

8.  Assessment of a Person-Level Risk Calculator to Predict New-Onset Bipolar Spectrum Disorder in Youth at Familial Risk.

Authors:  Danella M Hafeman; John Merranko; Tina R Goldstein; David Axelson; Benjamin I Goldstein; Kelly Monk; Mary Beth Hickey; Dara Sakolsky; Rasim Diler; Satish Iyengar; David A Brent; David J Kupfer; Michael W Kattan; Boris Birmaher
Journal:  JAMA Psychiatry       Date:  2017-08-01       Impact factor: 25.911

9.  Does perfectionism in bipolar disorder pedigrees mediate associations between anxiety/stress and mood symptoms?

Authors:  Justine Corry; Melissa Green; Gloria Roberts; Janice M Fullerton; Peter R Schofield; Philip B Mitchell
Journal:  Int J Bipolar Disord       Date:  2017-10-06

10.  Fronto-limbic dysconnectivity leads to impaired brain network controllability in young people with bipolar disorder and those at high genetic risk.

Authors:  Jayson Jeganathan; Alistair Perry; Danielle S Bassett; Gloria Roberts; Philip B Mitchell; Michael Breakspear
Journal:  Neuroimage Clin       Date:  2018-03-27       Impact factor: 4.881

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