重度抑郁障碍的炎症生物标志物和抗抑郁药反应:一项系统综述和荟萃分析。

Q3 Medicine
Psychopharmacology bulletin Pub Date : 2022-02-25
A Gasparini, C Callegari, G Lucca, A Bellini, I Caselli, M Ielmini
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引用次数: 0

摘要

在很大一部分被诊断为重度抑郁症的患者中,抗抑郁治疗反应不足,造成了与该疾病相关的巨大残疾负担;因此,预测治疗反应是治疗抑郁症患者的临床医生最重要的挑战之一。抑郁症的细胞因子假说表明,改变的外周细胞因子水平参与抑郁症的病理生理和调节对治疗的反应。本荟萃分析旨在调查基线细胞因子水平与抗抑郁治疗反应之间的关系。作者对PubMed和Embase数据库进行了系统检索,检索了2010年至2021年1月间发表的研究:在3345条确定的记录中,31项研究符合定性综合的纳入标准,而19项研究符合定量分析的标准。抗抑郁药无效的患者有异常的炎症过程,即c反应蛋白和白介素-8的基线水平较高,这与重度抑郁症的治疗结果有关。尽管这些有希望的结果,需要进一步的研究来复制这些数据,并检查炎症标志物作为抑郁症药物治疗的新预测工具的潜在作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Inflammatory Biomarker and Response to Antidepressant in Major Depressive Disorder: a Systematic Review and Meta-Analysis.

Inflammatory Biomarker and Response to Antidepressant in Major Depressive Disorder: a Systematic Review and Meta-Analysis.

Inadequate response to antidepressant treatment, in a significant proportion of patients diagnosed with Major Depressive Disorder, contributes to the large burden of disability associated with the disease; thus, predicting treatment response is one of the most important challenge for clinicians who deal with depressed patients. The cytokine hypothesis of depression suggests that altered pheripheral cytokine levels are involved in the pathophysiology of depressive disorder and in modulating response to treatment. Present meta-analysis aimed to investigate the association between cytokine levels at baseline and response to antidepressant therapies. Authors performed a systematic search of PubMed and Embase databases for studies published between 2010 and January 2021: of 3345 identified records, 31 studies met the inclusion criteria for the qualitative synthesis, whereas 19 studies were eligible for quantitative analysis. Patients who failed to respond to antidepressant had aberrant inflammatory process, namely higher baseline levels of C-Reactive Protein and Interleukine-8, which is associated with treatment outcome in Major Depressive Disorder. Despite these promising results, further investigations are needed in order to replicate the data and to examine the potential role of inflammatory marker as a novel predictive tool for pharmacological treatment of depressive disorder.

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来源期刊
Psychopharmacology bulletin
Psychopharmacology bulletin PHARMACOLOGY & PHARMACY-PSYCHIATRY
CiteScore
2.70
自引率
0.00%
发文量
32
期刊介绍: Information not localized
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