Biological Psychiatric Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125, Brescia, Italy.
Statistical Service, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125, Brescia, Italy.
Transl Psychiatry. 2020 Jul 23;10(1):232. doi: 10.1038/s41398-020-00874-7.
The mRNA expression signatures associated with the 'pro-inflammatory' phenotype of depression, and the differential signatures associated with depression subtypes and the effects of antidepressants, are still unknown. We examined 130 depressed patients (58 treatment-resistant, 36 antidepressant-responsive and 36 currently untreated) and 40 healthy controls from the BIODEP study, and used whole-blood mRNA qPCR to measure the expression of 16 candidate mRNAs, some never measured before: interleukin (IL)-1-beta, IL-6, TNF-alpha, macrophage inhibiting factor (MIF), glucocorticoid receptor (GR), SGK1, FKBP5, the purinergic receptor P2RX7, CCL2, CXCL12, c-reactive protein (CRP), alpha-2-macroglobulin (A2M), acquaporin-4 (AQP4), ISG15, STAT1 and USP-18. All genes but AQP4, ISG15 and USP-18 were differentially regulated. Treatment-resistant and drug-free depressed patients had both increased inflammasome activation (higher P2RX7 and proinflammatory cytokines/chemokines mRNAs expression) and glucocorticoid resistance (lower GR and higher FKBP5 mRNAs expression), while responsive patients had an intermediate phenotype with, additionally, lower CXCL12. Most interestingly, using binomial logistics models we found that a signature of six mRNAs (P2RX7, IL-1-beta, IL-6, TNF-alpha, CXCL12 and GR) distinguished treatment-resistant from responsive patients, even after adjusting for other variables that were different between groups, such as a trait- and state-anxiety, history of childhood maltreatment and serum CRP. Future studies should replicate these findings in larger, longitudinal cohorts, and test whether this mRNA signature can identify patients that are more likely to respond to adjuvant strategies for treatment-resistant depression, including combinations with anti-inflammatory medications.
与抑郁症“促炎”表型相关的 mRNA 表达特征,以及与抑郁症亚型和抗抑郁药作用相关的差异特征,目前尚不清楚。我们对来自 BIODEP 研究的 130 名抑郁症患者(58 名治疗抵抗、36 名抗抑郁药反应和 36 名未治疗)和 40 名健康对照者进行了检查,使用全血 mRNA qPCR 测量了 16 种候选 mRNA 的表达,其中一些以前从未测量过:白细胞介素 (IL)-1-β、IL-6、肿瘤坏死因子 (TNF)-α、巨噬细胞抑制因子 (MIF)、糖皮质激素受体 (GR)、SGK1、FKBP5、嘌呤能受体 P2RX7、CCL2、CXCL12、C 反应蛋白 (CRP)、α-2-巨球蛋白 (A2M)、水通道蛋白 4 (AQP4)、ISG15、STAT1 和 USP-18。除了 AQP4、ISG15 和 USP-18 外,所有基因的表达都发生了差异调节。治疗抵抗和无药治疗的抑郁症患者均存在炎症小体激活增加(更高的 P2RX7 和促炎细胞因子/趋化因子 mRNA 表达)和糖皮质激素抵抗(更低的 GR 和更高的 FKBP5 mRNA 表达),而反应性患者则具有中间表型,另外,CXCL12 水平较低。最有趣的是,我们使用二项逻辑模型发现,六个 mRNA(P2RX7、IL-1-β、IL-6、TNF-α、CXCL12 和 GR)的特征可以区分治疗抵抗和反应性患者,即使在调整了组间其他不同的变量后,如特质焦虑、童年期虐待史和血清 CRP。未来的研究应该在更大的纵向队列中复制这些发现,并测试这种 mRNA 特征是否可以识别出更有可能对抗抑郁药物治疗抵抗的辅助治疗策略(包括与抗炎药物联合治疗)的患者。