Potential biomarkers for bipolar disorder: Where do we stand?
TLDR
A critical appraisal and update on some of the most promising candidates for biomarkers, namely, neuroimaging markers, peripheral biomarkers and genetic markers, including a brief discussion on cognitive endophenotypes as indicative of genetic risk are presented.Abstract:
Bipolar disorder (BD) is a severe, recurrent mood disorder, associated with a significant morbidity and mortality, with high rates of suicides and medical comorbidities. There is a high risk of mood disorders among the first-degree relatives of patients with BD. In the current clinical practice, the diagnosis of BD is made by history taking, interview and behavioural observations, thereby lacking an objective, biological validation. This approach may result in underdiagnosis, misdiagnosis and eventually poorer outcomes. Due to the heterogeneity of BD, the possibility of developing a single, specific biomarker is still remote; however, there is a set of promising biomarkers which may serve as predictive, prognostic or treatment markers in the future. The review presents a critical appraisal and update on some of the most promising candidates for biomarkers, namely, neuroimaging markers, peripheral biomarkers and genetic markers, including a brief discussion on cognitive endophenotypes as indicative of genetic risk. The lessons learnt from other fields and specialties in medicine need to be applied to psychiatry to translate the knowledge from 'bench to bedside' by means of clinically useful biomarkers. Overall, the biomarkers may help in pushing the shift towards personalized medicine for psychiatric patients.read more
Citations
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Structural Magnetic Resonance Imaging in Bipolar Disorder: An International Collaborative Mega-Analysis of Individual Adult Patient Data
Brian Hallahan,John Newell,Jair C. Soares,Paolo Brambilla,Stephen M. Strakowski,David E. Fleck,Tuula Kieseppä,Lori L. Altshul,Alex Fornito,Gin S Malhi,Andrew M. McIntosh,Deborah A. Yurgelun-Todd,Kevin S. LaBar,Verinder Sharma,Glenda MacQueen,Robin M. Murrayand,Colm McDonald +16 more
TL;DR: An international collaborative mega-analysis of regional volumetric measurements of individual patient and healthy subject data is performed to optimize statistical power, detect case-control differences, assess the association of psychotropic medication usage with brain structural variation, and detect other possible sources of heterogeneity.
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Biomarkers for bipolar disorder: current status and challenges ahead.
Antônio Lúcio Teixeira,Gabriela D. Colpo,Gabriel Rodrigo Fries,Isabelle E. Bauer,Sudhakar Selvaraj +4 more
TL;DR: This manuscript will critically review the current status of different biomarkers for BD, including peripheral, genetic, neuroimaging, and neurophysiological candidates, discussing the challenges to move the field forward.
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Classification of Unmedicated Bipolar Disorder Using Whole-Brain Functional Activity and Connectivity: A Radiomics Analysis
Ying Wang,Kai Sun,Kai Sun,Zhenyu Liu,Guanmao Chen,Yanbin Jia,Shu-Ming Zhong,Jiyang Pan,Li Huang,Jie Tian +9 more
TL;DR: A valid radiomics approach by rs-fMRI can identify BD individuals from healthy controls with a high classification accuracy, providing the potential adjunctive approach to clinical diagnostic systems.
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Serum uric acid as a predictor of bipolarity in individuals with a major depressive episode.
TL;DR: There are no well‐established biomarkers to predict the risk of conversion to bipolar disorder (BD) in patients with depression, but higher serum uric acid levels could predict BD conversion in depressed inpatients.
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Sex differences in the blood–brain barrier: Implications for mental health
Laurence Dion-Albert,Luisa Bandeira Binder,B. Daigle,Amandine Hong-Minh,Manon Lebel,Caroline Menard +5 more
TL;DR: In this article , the authors provide an overview of sex-specific immune, endocrine, vascular and transcriptional mediated changes that could affect neurovascular integrity and possibly contribute to the pathogenesis of mental disorders.
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