首页|基于外周血circRNAs构建抑郁症严重程度的预测模型

基于外周血circRNAs构建抑郁症严重程度的预测模型

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目的 基于外周血环形RNA(circular RNAs,circRNAs)表达构建抑郁症严重程度的预测模型.方法 选取2022年8月至2023年8月于笔者医院就诊的抑郁症80例患者,分为轻中度组49例、重度组31例,并以40名健康人作为健康组,经基因芯片筛查,选择差异较大的5种circRNAs,进一步分析circRNAs与抑郁症严重程度的关系,分析影响抑郁症严重程度的独立危险因子,根据分析结果构建基于外周血circRNAs表达的抑郁症严重程度列线图预测模型.结果 与健康组、轻中度组比较,重度组circRNA_100679、circRNA_103636相对表达量降低,circRNA_102802、circRNA_103964、circRNA_002143 相对表达量升高(P<0.05).circRNA_100679、circRNA_103636 与抑郁症严重程度呈负相关(r=-0.594、-0.512,P<0.05),CircRNA_102802、circRNA_103964、circRNA_002143 与抑郁症严重程度呈正相关(r=0.603、0.425、0.412,P<0.05).CircRNA_100679、circRNA_102802、circRNA_103636、circRNA_103964、circRNA_002143、家族精神疾病史、5-羟色胺(5-hydroxytryptamine,5-HT)均为抑郁症严重程度的危险因子(P<0.05).基于外周血circRNAs等危险因子构建的列线图预测模型的预测曲线下面积为0.900(95%CI:0.811~0.945),模型区分度较好,内部验证一致性较高.结论 构建基于circRNAs表达的抑郁症严重程度的列线图模型预测价值良好,可为临床抑郁症严重程度的诊断提供参考.
Constructing a predictive model for the severity of depression based on the expression of circRNAs in peripheral blood
Objective To construct a predictive model for the severity of depression based on the expression of circular RNAs(circRNAs)in peripheral blood.Methods Selecting 80 patients with depression who visited our hospital from August 2022 to August 2023,they were divided into a mild to moderate group of 49 cases and a severe group of 31 cases.Forty healthy individuals were selected as the healthy group,and after gene chip screening,five circRNAs with significant differences were selected.Further analysis was conducted on the relationship between circRNAs and the severity of depression,and independent risk factors affecting the severity of depression were analyzed,based on the analysis results,construct a depression severity prediction model using a column chart based on the expression of circRNAs in peripheral blood.Results Compared with the healthy group and mild to moderate group,the severe group had circRNA_100679,circRNA_1 03636 relative expression level decreased,circRNA_102802,circRNA_103964,The relative expression level of circRNA_002143 increased(P<0.05).CircRNA_100679,circRNA_103636 is negatively correlated with the severity of depression(r=-0.594,-0.512,P<0.05),circRNA_102802,circRNA_103964,circRNA_002143 is positively correlated with the severity of depression(r=0.603,0.425,0.412,P<0.05).CircRNA_100679,circRNA_102802,circRNA_103636,circRNA_103964,circRNA_002143,family history of mental illness,and 5-hydroxytryptamine(5-HT)are all risk factors for the severity of depression(P<0.05).The predicted area under the curve of the column chart prediction model based on risk factors such as peripheral blood circRNAs is 0.900,with a 95%CI:0.811-0.945.The model has good discrimination and high internal validation consistency.Conclusion The construction of a column chart model based on circRNAs expression for predicting the severity of depression has good predictive value and can provide reference for the diagnosis and treatment of depression severity in clinical practice.

Circular RNADepressionSeverityPrediction model

严焕然、许冬琴、陈晶

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绍兴市第七人民医院精神科,浙江绍兴 312000

环形RNA 抑郁症 严重程度 预测模型

浙江省医药卫生科技计划项目浙江省医药卫生科技计划项目浙江省医药卫生科技计划项目

2020KY3322023KY12722024KY484

2024

中国现代医生
中国医学科学院

中国现代医生

影响因子:1.571
ISSN:1673-9701
年,卷(期):2024.62(20)