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.
复制标题

DOI:
10.3389/fpsyt.2022.843400
复制
发表时间:
2022
影响因子:
4.7
通讯作者:
Zhang, Zhijun
Zhang, Zhijun
中科院分区:
医学3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

文献摘要

参考文献

被引文献

相似文献

双相情感障碍(BD)易误诊为重度抑郁障碍(MDD),易延误治疗并影响预后。昼夜节律紊乱与MDD向BD的转化密切相关。到目前为止,还没有研究揭示昼夜节律基因多态性与MDD向BD转化的关系。此外,还没有通过集成多维数据来预测MDD到BD的转换。这项研究结合了临床和遗传因素,通过机器学习(ML)建立了MDD向BD转化的预测模型。经过5年的随访,最终纳入MDD患者70例,BD患者68例。选择昼夜节律基因的单核苷酸多态(SNPs)进行检测。用R软件进行特征筛选,建立预测模型。采用Logistic回归方法建立预测模型,采用四种评价方法进行预测。研究发现,发病年龄是MDD向BD转化的危险因素。发病年龄越小,患BD的风险越高。此外,自杀企图和住院次数与MDD向BD的转化有关。通过特征筛选,发现11个昼夜节律基因多态性与MDD向BD的转化相关。利用这些因素建立了两个模型,4种评价方法证明,具有临床特征和SNPs的模型具有较好的预测能力。找出了MDD转化为BD的危险因素,并建立了预测模型,对临床诊断具有特定的指导意义。
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.
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
DOI: 10.3390/brainsci10110784
发表时间: 2020-10-27
期刊: Brain sciences
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
DOI: 10.1080/15622975.2016.1231421
发表时间: 2018-10-31
影响因子: 3.1
作者:
Bengesser, Susanne A.;Reininghaus, Eva Z.;Waha, Andreas
通讯作者: Waha, Andreas
DOI: 10.1016/j.jad.2011.06.019
发表时间: 2011-11-01
影响因子: 6.6
作者:
Dumlu, Kemal;Orhon, Zahide;Tunca, Zeliha
通讯作者: Tunca, Zeliha
DOI: 10.1016/j.jad.2018.11.051
发表时间: 2019-02-15
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