Gao Wenfan, Xu Yayun, Liang Jun, Sun Yanhong, Zhang Yuanyuan, Shan Feng, Ge Jinfang, Xia Qingrong
Affiliated Psychological Hospital of Anhui Medical University, Hefei, People's Republic of China.
Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, People's Republic of China.
Psychol Res Behav Manag. 2022 Oct 11;15:2971-2978. doi: 10.2147/PRBM.S384267. eCollection 2022.
Evidence indicates a potential role of chemokines in depression-like behavior and depression-related pathophysiological processes. In the present study, we examined the serum levels of multiple chemokines, focusing on CC chemokines, in patients with major depressive disorder (MDD), with the aim to discover and identify serum chemokines-based biomarkers for MDD diagnosis.
Participants included 24 patients with MDD and 24 healthy controls. The 24-item Hamilton Depression Rating Scale (HAMD-24) was administered to assess the disease severity of patients with MDD. A total of 9 serum CC chemokines including MCP-1 (CCL-2), MIP-1α (CCL-3), MIP-1β (CCL-4), eotaxin-1 (CCL-11), MCP-4 (CCL-13), TARC (CCL-17), MIP-3α (CCL-20), MDC (CCL-22), and Eotaxin-3 (CCL-26) were measured using electrochemiluminescence immunoassays. The levels of serum CC chemokines between MDD group and control group were compared, and diagnostic values of different CC chemokines were evaluated using the receiver operating characteristic (ROC) curve method for discriminating MDD patients from healthy controls. Correlations between the levels of serum CC chemokines and depression severity (HAMD-24 scores) were evaluated using Pearson's correlation test.
Patients with MDD had higher levels of serum MIP-1α and MIP-1β and lower levels of serum MCP-1, MCP-4, TARC, MDC, and Eotaxin-3 compared to controls (all < 0.05). Moreover, ROC curve analysis showed that the Area Under Curve (AUC) values of MIP-1α, MCP-4, TARC, and Eotaxin-3 were > 0.7 in discriminating patients with MDD from healthy controls. Furthermore, no significant relationship was found between the levels of serum CC chemokines and HAMD-24 scores in MDD group.
These results suggested that circulating CC chemokines may hold promise in the discovery of biomarkers for diagnosing MDD.
有证据表明趋化因子在抑郁样行为和抑郁相关病理生理过程中可能发挥作用。在本研究中,我们检测了重度抑郁症(MDD)患者多种趋化因子的血清水平,重点关注CC趋化因子,旨在发现并鉴定基于血清趋化因子的MDD诊断生物标志物。
参与者包括24例MDD患者和24名健康对照者。采用24项汉密尔顿抑郁量表(HAMD - 24)评估MDD患者的疾病严重程度。使用电化学发光免疫分析法检测包括MCP - 1(CCL - 2)、MIP - 1α(CCL - 3)、MIP - 1β(CCL - 4)、嗜酸性粒细胞趋化因子 - 1(CCL - 11)、MCP - 4(CCL - 13)、TARC(CCL - 17)、MIP - 3α(CCL - 20)、MDC(CCL - 22)和嗜酸性粒细胞趋化因子 - 3(CCL - 26)在内的9种血清CC趋化因子。比较MDD组和对照组血清CC趋化因子水平,并使用受试者工作特征(ROC)曲线法评估不同CC趋化因子区分MDD患者与健康对照者的诊断价值。采用Pearson相关检验评估血清CC趋化因子水平与抑郁严重程度(HAMD - 24评分)之间的相关性。
与对照组相比,MDD患者血清MIP - 1α和MIP - 1β水平较高,而血清MCP - 1、MCP - 4、TARC、MDC和嗜酸性粒细胞趋化因子 - 3水平较低(均P < 0.05)。此外,ROC曲线分析显示,MIP - 1α、MCP - 4、TARC和嗜酸性粒细胞趋化因子 - 3在区分MDD患者与健康对照者时曲线下面积(AUC)值> 0.7。此外,MDD组血清CC趋化因子水平与HAMD - 24评分之间未发现显著相关性。
这些结果表明循环CC趋化因子在发现MDD诊断生物标志物方面可能具有前景。