The Exposome Paradigm to Understand the Environmental Origins of Mental Disorders.

The Exposome Paradigm to Understand the Environmental Origins of Mental Disorders.
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DOI:
10.5152/alphapsychiatry.2021.21307
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发表时间:
2021-07
期刊:
影响因子:
0.7
通讯作者:
Gülöksüz S
Gülöksüz S
中科院分区:
医学4区
文献类型:
--
作者:
Erzin G;Gülöksüz S

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人们对理解精神障碍与可改变和潜在可预防的暴露之间的关系非常感兴趣。然而,环境的复杂性,涉及许多因果和非因果途径,使研究极具挑战性。为了应对这些挑战,我们最近提出了使用麻烦的范例。这个问题代表了从受孕开始的一生中暴露的全部。该框架提供了一个解决方案,以处理所有“非遗传”因素的复杂性。最近,精神分裂症的症状组方法已被用于构建精神分裂症症状组评分(ES-SCZ)。研究结果表明,ES-SCZ可用于风险分层,在统计检验中调整累积环境负荷,并收集风险富集队列。提高数据可用性将有助于改善ES-SCZ,可用于分期模型,以增强临床表征和结局预测。虽然ES-SCZ已经为研究实践提供了一些实际好处,但麻烦的范式提供了更多。不可知论的全社会范围的分析可能是绘制精神障碍的麻烦的第一步。这些分析有助于区分真正的信号与选择性报告,并发现新的风险和弹性因素。麻烦的方法也将增加我们对不同地理环境和种族社区的环境对心理健康的不同影响的理解。我们正处于精神病学复杂研究的早期阶段;然而,如果成功应用,复杂框架有望拥抱复杂性,并使先进的分析解决方案能够利用不断增长的数据来深入了解复杂的动态暴露网络。
There is an active interest in understanding the relationship between mental disorders and modifiable and potentially preventable exposures. However, the complexity of the environment, involving many causal and noncausal pathways, makes research extremely challenging. To tackle these challenges, we have recently proposed the use of the exposome paradigm. The exposome represents the totality of exposures in a lifetime from conception onward. The framework offers a solution to handle the complexity of all “non-genetic” factors. The exposome approach has recently been adopted to construct an exposome score for schizophrenia (ES-SCZ). Findings demonstrate that ES-SCZ can be used for risk stratification, adjusting for cumulative environmental load in statistical testing, and collecting risk enriched cohorts. Increasing data availability will help improve ES-SCZ that can be used in staging models to enhance clinical characterization and outcome forecasting. Although an ES-SCZ already provides several practical benefits for research practice, the exposome paradigm offers much more. Agnostic exposure-wide analyses might be the first step to mapping the exposome of mental disorders. These analyses help distinguish genuine signals from selective reporting and uncover novel risk and resilience factors. The exposome approach will also increase our understanding of the differential impact of the environment on mental health across geographical settings and ethnic communities. We are in the early phases of exposome research in psychiatry; however, if successfully applied, exposome framework is poised to embrace complexity and enable advanced analytical solutions to harness ever-growing data to gain insight into the complex dynamic network of exposures.
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