Davis Justin, Eyre Harris, Jacka Felice N, Dodd Seetal, Dean Olivia, McEwen Sarah, Debnath Monojit, McGrath John, Maes Michael, Amminger Paul, McGorry Patrick D, Pantelis Christos, Berk Michael
Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia.
Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia.
Neurosci Biobehav Rev. 2016 Jun;65:185-94. doi: 10.1016/j.neubiorev.2016.03.017. Epub 2016 Apr 9.
Schizophrenia risk has often been conceptualized using a model which requires two hits in order to generate the clinical phenotype-the first as an early priming in a genetically predisposed individual and the second a likely environmental insult. The aim of this paper was to review the literature and reformulate this binary risk-vulnerability model. We sourced the data for this narrative review from the electronic database PUBMED. Our search terms were not limited by language or date of publication. The development of schizophrenia may be driven by genetic vulnerability interacting with multiple vulnerability factors including lowered prenatal vitamin D exposure, viral infections, smoking intelligence quotient, social cognition cannabis use, social defeat, nutrition and childhood trauma. It is likely that these genetic risks, environmental risks and vulnerability factors are cumulative and interactive with each other and with critical periods of neurodevelopmental vulnerability. The development of schizophrenia is likely to be more complex and nuanced than the binary two hit model originally proposed nearly thirty years ago. Risk appears influenced by a more complex process involving genetic risk interfacing with multiple potentially interacting hits and vulnerability factors occurring at key periods of neurodevelopmental activity, which culminate in the expression of disease state. These risks are common across a number of neuropsychiatric and medical disorders, which might inform common preventive and intervention strategies across non-communicable disorders.
精神分裂症风险通常使用一种模型来概念化,该模型需要两次“打击”才能产生临床表型——第一次是在具有遗传易感性的个体中进行早期启动,第二次是可能的环境损害。本文的目的是回顾文献并重新构建这种二元风险-易感性模型。我们从电子数据库PUBMED中获取了本叙述性综述的数据。我们的搜索词不受语言或出版日期的限制。精神分裂症的发展可能由遗传易感性与多种易感性因素相互作用驱动,这些因素包括产前维生素D暴露降低、病毒感染、吸烟、智商、社会认知、大麻使用、社会挫败、营养和童年创伤。这些遗传风险、环境风险和易感性因素很可能是累积性的,并且它们之间以及与神经发育易感性的关键时期相互作用。精神分裂症的发展可能比近三十年前最初提出的二元两次打击模型更为复杂和微妙。风险似乎受到一个更复杂的过程影响,该过程涉及遗传风险与在神经发育活动关键时期出现的多个潜在相互作用的打击和易感性因素相互作用,最终导致疾病状态的表达。这些风险在许多神经精神疾病和医学疾病中都很常见,这可能为跨非传染性疾病的常见预防和干预策略提供依据。