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Brain-derived neurotrophic factor levels and bipolar disorder in patients in their first depressive episode: 3-year prospective longitudinal study.

Authors :
Zezhi Li
Chen Zhang
Jinbo Fan
Chengmei Yuan
Jia Huang
Jun Chen
Zhenghui Yi
Zuowei Wang
Wu Hong
Yong Wang
Weihong Lu
Yangtai Guan
Zhiguo Wu
Yousong Su
Lan Cao
Yingyan Hu
Yong Hao
Mingyuan Liu
Shunying Yu
Donghong Cui
Source :
British Journal of Psychiatry; Jul2014, Vol. 205 Issue 1, p29-35, 7p
Publication Year :
2014

Abstract

Background Early identification of patients with bipolar disorder during their first depressive episode is beneficial to the outcome of the disorder and treatment, but traditionally this has been a great challenge to clinicians. Recently, brain-derived neurotrophic factor (BDNF) has been suggested to be involved in the pathophysiology of bipolar disorder and major depressive disorder (MDD), but it is not clear whether BDNF levels can be used to predict bipolar disorder among patients in their first major depressive episode. Aims To explore whether BDNF levels can differentiate between MDD and bipolar disorder in the first depressive episode. Method A total of 203 patients with a first major depressive episode as well as 167 healthy controls were recruited. After 3 years of bi-annual follow-up, 164 patients with a major depressive episode completed the study, and of these, 21 were identified as having bipolar disorder and 143 patients were diagnosed as having MDD. BDNF gene expression and plasma levels at baseline were compared among the bipolar disorder, MDD and healthy control groups. Logistic regression and decision tree methods were applied to determine the best model for predicting bipolar disorder at the first depressive episode. Results At baseline, patients in the bipolar disorder and MDD groups showed lower BDNF mRNA levels (P<0.001 and P = 0.02 respectively) and plasma levels (P=0.002 and P=0.01 respectively) compared with healthy controls. Similarly, BDNF levels in the bipolar disorder group were lower than those in the MDD group. These results showed that the best model for predicting bipolar disorder during a first depressive episode was a combination of BDNF mRNA levels with plasma BDNF levels (receiver operating characteristics (ROC)=0.80, logistic regression; ROC=0.84, decision tree). Conclusions Our findings suggest that BDNF levels may serve as a potential differential diagnostic biomarker for bipolar disorder in a patient's first depressive episode. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00071250
Volume :
205
Issue :
1
Database :
Complementary Index
Journal :
British Journal of Psychiatry
Publication Type :
Academic Journal
Accession number :
97063675
Full Text :
https://doi.org/10.1192/bjp.bp.113.134064