炎症与抑郁症:剖析发病、合并症和治疗反应的病理机制的研究方案

IF 3.7 Q2 IMMUNOLOGY
Catia Scassellati , Nadia Cattane , Francesco Benedetti , Tiziana Borsello , Giuseppe Cicala , Massimo Gennarelli , Patrizia Genini , Alessandro Gialluisi , Arianna Giani , Licia Iacoviello , Alessandra Minelli , Edoardo Spina , Benedetta Vai , Erika Vitali , Annamaria Cattaneo
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引用次数: 0

摘要

约有三分之一的重度抑郁症(MDD)患者对任何抗抑郁药物均无反应,75%的患者病情复发,健康状况普遍恶化。重要的是,炎症可能会导致这些负面结果,对于童年遭受不良经历和/或病毒感染(包括 COVID-19)的患者来说,炎症也可能导致抑郁症。抑郁症患者罹患合并症(如心血管代谢功能障碍)的风险也会增加,而炎症性改变又是连接 MDD 和这些合并症的纽带。在此,我们介绍由意大利卫生部在 PNRR 号召(M6/C2_CALL 2022;项目代码:PNRR-MAD-2022-12375859)背景下资助的研究方案。该项目旨在阐明炎症在以下方面的作用:i) 与环境因素有关的抑郁症发病机制;ii) 与治疗反应/抗药性有关的机制;iii) 抑郁症及其并发症。为了实现所有这些目标,我们将利用不同的人类队列(遭受童年创伤的青少年抑郁症患者;成年抑郁症患者;治疗耐受性抑郁症患者;在大型人群队列中发现的流行性和偶发性抑郁症病例),对炎症/免疫基因、药代动力学和机器学习技术进行生化、转录组和遗传变异分析。此外,我们还将利用体外模型(星形胶质细胞、神经元和小胶质细胞的原代培养物),通过促炎症或应激性挑战和预防性化合物来阐明其潜在机制。这个为期两年的项目将增进人们对炎症在预防和治疗多发性抑郁症及合并症中的作用的了解,还将为开发创新性个性化干预策略的新目标和工具提供实验证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inflammation and depression: A study protocol to dissect pathogenetic mechanisms in the onset, comorbidity and treatment response
About one third of patients suffering from Major Depressive Disorder (MDD) do not respond to any antidepressant medications and 75% experience relapses and general health deterioration. Importantly, inflammation can contribute to such negative outcomes, as well as to cause depression in patients who have been exposed to adverse childhood experiences and/or to viral infections, including COVID-19. Depressed patients also have an increased risk for developing comorbidities, such as cardio-metabolic dysfunctions, where inflammatory alterations, again, play a role in connecting MDD and these comorbid conditions.
Here, we present our study protocol funded by the Italian Ministry of Health in the context of the PNRR call (M6/C2_CALL 2022; Project code: PNRR-MAD-2022-12375859). The project aims to clarify the role of inflammation: i) in the onset of depression in association with environmental factors; ii) in the mechanisms associated with treatment response/resistance; iii) in depression and its comorbidity. To reach all these aims, we will perform biochemical, transcriptomic, genetic variants analyses on inflammatory/immune genes, pharmacokinetics and machine learning techniques, taking advantage of different human cohorts (adolescent depressed patients exposed to childhood trauma; adult depressed patients; treatment resistant depression patients; both prevalent and incident depression cases identified within a large population cohort). Moreover, we will use in vitro models (primary cultures of astrocytes, neurons and microglia) treated with pro-inflammatory or stressful challenges and preventive compounds to clarify the underlying mechanisms.
This 2-years project will increase the knowledge on the role of inflammation in the prevention and treatment of MDD and in comorbid disorders, and it will also provide experimental evidence for the development of novel targets and tools for innovative personalized intervention strategies.
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来源期刊
Brain, behavior, & immunity - health
Brain, behavior, & immunity - health Biological Psychiatry, Behavioral Neuroscience
CiteScore
8.50
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0.00%
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审稿时长
97 days
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