Miller Andrew H
Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta.
Am J Psychiatry. 2025 Jun 1;182(6):516-524. doi: 10.1176/appi.ajp.20250289. Epub 2025 May 7.
Chronic inflammation plays a prominent role in multiple medical disorders, including psychiatric diseases such as major depression. Exposure to inflammatory stimuli leads to changes in neurotransmitter systems and neurocircuits in the brain that are associated with depressive symptoms. Blockade of inflammatory cytokines can reduce depressive symptoms in medically ill and medically healthy individuals with depression. Increased levels of biomarkers of inflammation are associated with an overrepresentation of neurovegetative symptoms, including anhedonia, fatigue, and psychomotor slowing, and can predict response to antidepressant treatments. Importantly, however, increased inflammatory biomarkers occur in only a subgroup of individuals with depression. Thus, there appears to be a subset of patients with depression with a unique symptom presentation and treatment response whose disease is primarily driven by inflammation. Further identifying and characterizing this inflammatory subtype of depression can foster the development of treatments targeting the immune system and its effects on the brain. Moreover, by using this mechanism-based approach to parsing the heterogeneity of depression, we can refine our diagnostic nosology and model a strategy for precision medicine and targeted therapeutics in psychiatry.
慢性炎症在多种医学病症中起着重要作用,包括诸如重度抑郁症等精神疾病。暴露于炎症刺激会导致大脑中神经递质系统和神经回路发生变化,这些变化与抑郁症状相关。阻断炎性细胞因子可减轻患有抑郁症的躯体疾病患者和身体健康的抑郁症患者的抑郁症状。炎症生物标志物水平升高与包括快感缺失、疲劳和精神运动迟缓在内的神经植物性症状的过度表现相关,并且可以预测对抗抑郁治疗的反应。然而,重要的是,炎症生物标志物升高仅出现在一部分抑郁症患者中。因此,似乎有一部分抑郁症患者具有独特的症状表现和治疗反应,其疾病主要由炎症驱动。进一步识别和表征这种炎症性抑郁症亚型可以促进针对免疫系统及其对大脑影响的治疗方法的开发。此外,通过使用这种基于机制的方法来剖析抑郁症的异质性,我们可以完善我们的诊断分类学,并为精神病学中的精准医学和靶向治疗制定策略。