A Predictive Model of Risk Factors for Conversion From Major Depressive Disorder to Bipolar Disorder Based on Clinical Characteristics and Circadian Rhythm Gene Polymorphisms.
A Predictive Model of Risk Factors for Conversion From Major Depressive Disorder to Bipolar Disorder Based on Clinical Characteristics and Circadian Rhythm Gene Polymorphisms.
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DOI:
10.3389/fpsyt.2022.843400
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发表时间:
2022
影响因子:
4.7
通讯作者:
Zhang, Zhijun
中科院分区:
文献类型:
--
作者:
Xu, Zhi;Chen, Lei;Hu, Yunyun;Shen, Tian;Chen, Zimu;Tan, Tingting;Gao, Chenjie;Chen, Suzhen;Chen, Wenji;Chen, Bingwei;Yuan, Yonggui;Zhang, Zhijun
Bipolar disorder (BD) is easy to be misdiagnosed as major depressive disorder (MDD), which may contribute to a delay in treatment and affect prognosis. Circadian rhythm dysfunction is significantly associated with conversion from MDD to BD. So far, there has been no study that has revealed a relationship between circadian rhythm gene polymorphism and MDD-to-BD conversion. Furthermore, the prediction of MDD-to-BD conversion has not been made by integrating multidimensional data. The study combined clinical and genetic factors to establish a predictive model through machine learning (ML) for MDD-to-BD conversion. By following up for 5 years, 70 patients with MDD and 68 patients with BD were included in this study at last. Single nucleotide polymorphisms (SNPs) of the circadian rhythm genes were selected for detection. The R software was used to operate feature screening and establish a predictive model. The predictive model was established by logistic regression, which was performed by four evaluation methods. It was found that age of onset was a risk factor for MDD-to-BD conversion. The younger the age of onset, the higher the risk of BD. Furthermore, suicide attempts and the number of hospitalizations were associated with MDD-to-BD conversion. Eleven circadian rhythm gene polymorphisms were associated with MDD-to-BD conversion by feature screening. These factors were used to establish two models, and 4 evaluation methods proved that the model with clinical characteristics and SNPs had the better predictive ability. The risk factors for MDD-to-BD conversion have been found, and a predictive model has been established, with a specific guiding significance for clinical diagnosis.
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DOI:
10.1038/s41436-018-0058-9
发表时间:
2019-03
期刊:
Genetics in medicine : official journal of the American College of Medical Genetics
影响因子:
--
作者:
Martens FK;Tonk ECM;Janssens ACJW
通讯作者:
Janssens ACJW
影响因子:
3.3
作者:
Fan P;Guo X;Qi X;Matharu M;Patel R;Sakolsky D;Kirisci L;Silverstein JC;Wang L
通讯作者:
Wang L
影响因子:
3.1
作者:
Bengesser, Susanne A.;Reininghaus, Eva Z.;Waha, Andreas
通讯作者:
Waha, Andreas
影响因子:
6.6
作者:
Dumlu, Kemal;Orhon, Zahide;Tunca, Zeliha
通讯作者:
Tunca, Zeliha
影响因子:
6.6
作者:
Belizario, Gabriel Okawa;Borges Junior, Renato Gomes;Dias, Rodrigo da Silva
通讯作者:
Dias, Rodrigo da Silva