Toward a biosignature for suicide.

Toward a biosignature for suicide.
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迈向自杀的生物签名。

DOI:
10.1176/appi.ajp.2014.14020194
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发表时间:
2014-12-01
期刊:
The American journal of psychiatry
影响因子:
--
通讯作者:
Mann JJ
Mann JJ
中科院分区:
其他
文献类型:
--
作者:
Oquendo MA;Sullivan GM;Sudol K;Baca-Garcia E;Stanley BH;Sublette ME;Mann JJ

文献摘要

参考文献

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自杀是世界范围内的一个主要死亡原因,有着独特的生物学基础。作者回顾和综合了自杀生物标志物的研究文献,目的是利用这些研究的结果来建立一个自杀生物素质的连贯模型。作者研究了涉及自杀的大量神经生物学系统的研究。他们提供了每个系统的简洁描述,为解释自杀调查结果的意义提供了背景。一些证据表明,应激反应系统的失调,特别是下丘脑-垂体-肾上腺轴,是自杀的一种素质。与神经炎性指数、突触能功能和细胞和回路水平的神经元可塑性相关的其他发现可能反映了这种失调的下游效应。在自杀死亡的个体中观察到的肾上腺素能异常是否独立于应激反应异常是一个悬而未决的问题。最引人注目的自杀生物标志物与改变的应激反应及其下游效应以及多巴胺能系统的异常有关。在相同人群中平行研究这些系统可能会阐明每个系统的作用及其相互作用,可能导致识别新的治疗靶点和生物学预测因子。
Suicide, a major cause of death worldwide, has distinct biological underpinnings. The authors review and synthesize the research literature on biomarkers of suicide, with the aim of using the findings of these studies to develop a coherent model for the biological diathesis for suicide. The authors examined studies covering a large range of neurobiological systems implicated in suicide. They provide succinct descriptions of each system to provide a context for interpreting the meaning of findings in suicide. Several lines of evidence implicate dysregulation in stress response systems, especially the hypothalamic-pituitary-adrenal axis, as a diathesis for suicide. Additional findings related to neuroinflammatory indices, glutamatergic function, and neuronal plasticity at the cellular and circuitry level may reflect downstream effects of such dysregulation. Whether serotonergic abnormalities observed in individuals who have died by suicide are independent of stress response abnormalities is an unresolved question. The most compelling biomarkers for suicide are linked to altered stress responses and their downstream effects, and to abnormalities in the serotonergic system. Studying these systems in parallel and in the same populations may elucidate the role of each and their interplay, possibly leading to identification of new treatment targets and biological predictors.
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