Serum brain-derived neurotrophic factor, depression, and antidepressant medications: Meta-analyses and implications

Serum brain-derived neurotrophic factor, depression, and antidepressant medications: Meta-analyses and implications
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DOI:
10.1016/j.biopsych.2008.05.005
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发表时间:
2008-09-15
影响因子:
10.6
通讯作者:
Sanacora, Gerard
Sanacora, Gerard
中科院分区:
医学1区
文献类型:
--
作者:
Sen, Srijan;Duman, Ronald;Sanacora, Gerard

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背景资料:越来越多的证据表明神经营养因子脑源性神经营养因子(BDNF)参与了抑郁症的病理生理过程。最近的研究已经开始探索血清BDNF与抑郁症之间的关系。方法:我们对11项研究进行了荟萃分析,研究了抑郁症和非抑郁症受试者血清BDNF含量的差异(N = 748),以及8项研究比较了抗抑郁治疗前后血清BDNF含量(N = 220)。荟萃分析显示,有强有力的证据表明,抑郁症患者的BDNF水平低于健康对照组(p < 6.8 × 10 - 8)。同样,第二项荟萃分析发现,抗抑郁药治疗后BDNF水平显著升高(p =.003)。有没有证据表明出版偏见的第一(p =.376)或第二(p =.571)荟萃分析,也没有证据表明,任何一个荟萃分析是不适当的影响任何一个study.Conclusions:这些研究结果提供了强有力的证据表明,血清BDNF水平异常低,患有抑郁症的患者和BDNF水平升高的抗抑郁治疗过程中。虽然我们的研究结果与抑郁症的病理生理学和药物作用机制的关系仍有待确定,但该措施可能作为精神疾病的生物标志物或作为抗抑郁药疗效的预测因子。
Background: Converging lines of evidence implicate the neurotrophin brain-derived neurotrophic factor (BDNF) in the pathophysiology of major depression. Recent studies have begun to explore the relationship between serum BDNF and depression.Methods: We conducted meta-analyses of 11 studies examining differences in serum BDNF content between depressed and nondepressed subjects (N = 748), and eight studies comparing pre- and post-antidepressant treatment serum BDNF content (N = 220).Results: The meta-analysis revealed strong evidence that BDNF levels were lower in depressed subjects than healthy control subjects (p < 6.8 X 10(-8)). Similarly, the second meta-analysis found significantly higher BDNF levels after antidepressant treatment (p =.003). There was no evidence of publication bias in the first (p =.376) or second (p =.571) meta-analysis and no evidence that either meta-analysis was unduly influenced by any one study.Conclusions: These findings provide strong evidence to suggest that serum BDNF levels are abnormally low in patients suffering from major depressive disorder and that the BDNF levels are elevated following a course of antidepressant treatment. Although the relationship of our findings to pathophysiology of depression and the mechanism of drug action remains to be determined, the measure may have potential use as a biomarker for psychiatric disorders or as a predictor of antidepressant efficacy.