外周血酪氨酸羟化酶含量与首发抑郁症的相关性研究

Study on the correlation between tyrosine hydroxylase content in peripheral blood and first-episode depression

目的探讨外周血酪氨酸羟化酶(TH)含量与首发抑郁症的相关性,为阐明抑郁症的临床诊断及发病机制提供科学依据。方法选取2021年7月至2022年9月在我院就诊的40例首发抑郁症患者为病例组,另选取在我院体检中心进行健康体检的46名健康者为对照组。两组研究对象均进行汉密尔顿焦虑量表(HAMA)和汉密尔顿抑郁量表(HAMD)评分,并采集外周血测定TH含量。比较两组的TH含量及在不同性别和不同年龄段中的含量;通过偏相关分析TH含量与HAMA、HAMD评分的相关性;通过受试者工作特征曲线(ROC)的曲线下面积(AUC)来评价TH对抑郁症的诊断价值。结果病例组的TH含量显著低于对照组(P<0.05)。病例组的HAMA、HAMD评分与TH含量呈负相关(P<0.05)。ROC曲线分析显示,TH预测抑郁症的AUC为0.660。结论外周血TH含量降低可能与首发抑郁症的发生和发展有关,可作为抑郁症的生物学标志,对预测抑郁症具有一定的临床价值。

Objective To explore the correlation between the content of tyrosine hydroxylase(TH)in peripheral blood and first-episode depression,and to provide scientific basis for elucidating the clinical diagnosis and pathogenesis of depression.Methods Forty patients with first-episode depression who were treated in our hospital from July 2021 to September 2022 were selected as case group,and 46 healthy people who underwent physical examination in the physical examination center of our hospital were selected as control group.The Hamilton Anxiety Scale(HAMA)and Hamilton Depression Scale(HAMD)scores were performed in both groups,and peripheral blood was collected to determine TH content.The TH content of the two groups and the TH content in different gender and different age groups were compared;the correlation between TH content and HAMA and HAMD scores were analyzed by partial correlation;the diagnostic value of TH for depression was evaluated by the area under curve(AUC)of the receiver operating characteristic curve(ROC).Results The TH content in the case group was significantly lower than that in the control group(P<0.05).The HAMA and HAMD scores of the case group were negatively correlated with TH content(P<0.05).ROC curve analysis showed that the AUC of TH in predicting depression was 0.660.Conclusion The decrease of TH content in peripheral blood may be related to the occurrence and development of first-episode depression.It can be used as a biomarker of depression and has certain clinical value in predicting depression.