青春期的人格变化可预测年轻成人的精神病倾向,并介导精神分裂症风险的基因-环境相互作用。

IF 5.9 2区 医学 Q1 PSYCHIATRY
Linda A Antonucci, Alessandra Raio, Gianluca Christos Kikidis, Alessandro Bertolino, Antonio Rampino, Tobias Banaschewski, Arun L W Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Andreas Heinz, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Juliane H Fröhner, Michael N Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Catharina A Hartman, Giulio Pergola
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引用次数: 0

摘要

背景:青少年时期的精神症状与社会逆境和精神分裂症的遗传风险有关。这种基因与环境的相互作用可能受人格的影响,而人格也是在青春期形成的。我们假设:(i) 人格发展可预测日后的精神病易感体征(PPS);(ii) 人格特质可介导精神分裂症遗传风险、社会逆境和精神病之间的关联:在 IMAGEN 队列中总共选取了 784 人(发现样本-DS:526 人;验证样本-VS:258 人);在基线(13-15 岁)、随访-1(FU1,16-17 岁)和 FU2(18-20 岁)时对人格进行了评估。潜在成长曲线模型用于计算 14 个人格变量的个体变化系数。支持向量机算法利用这些系数来预测 FU3(21-24 岁)时的 PPS。我们计算了中介分析,包括基于人格的预测和自我报告的欺凌受害情况,作为精神分裂症多基因风险评分(PRS)与FU3 PPS之间路径的序列中介。我们还在TRAILS队列中招募的1132名青少年身上复制了主要研究结果:结果:神经质和开放性的成长得分在 DS 中预测 PPS 的平衡准确率为 65.6%,在 VS 中预测 PPS 的平衡准确率为 69.5%,而在 TRAILS 队列中(CI 为 0.0004-0.004),PRS 对 PPS 的直接影响(置信区间 [CI]为 0.01-0.15)和间接影响(由基于人格的预测和受害情况连续介导,CI 为 0.006-0.01)均得到了验证:结论:青少年的人格变化可能预示着未来与精神病易感性相关的经历。基于 PPS 人格的预测介导了 PRS 与成年 PPS 受害之间的关系,这表明所提出的精神病基因-环境相关性部分是由人格介导的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personality changes during adolescence predict young adult psychosis proneness and mediate gene-environment interplays of schizophrenia risk.

Background: Psychotic symptoms in adolescence are associated with social adversity and genetic risk for schizophrenia. This gene-environment interplay may be mediated by personality, which also develops during adolescence. We hypothesized that (i) personality development predicts later Psychosis Proneness Signs (PPS), and (ii) personality traits mediate the association between genetic risk for schizophrenia, social adversities, and psychosis.

Methods: A total of 784 individuals were selected within the IMAGEN cohort (Discovery Sample-DS: 526; Validation Sample-VS: 258); personality was assessed at baseline (13-15 years), follow-up-1 (FU1, 16-17 years), and FU2 (18-20 years). Latent growth curve models served to compute coefficients of individual change across 14 personality variables. A support vector machine algorithm employed these coefficients to predict PPS at FU3 (21-24 years). We computed mediation analyses, including personality-based predictions and self-reported bullying victimization as serial mediators along the pathway between polygenic risk score (PRS) for schizophrenia and FU3 PPS. We replicated the main findings also on 1132 adolescents recruited within the TRAILS cohort.

Results: Growth scores in neuroticism and openness predicted PPS with 65.6% balanced accuracy in the DS, and 69.5% in the VS Mediations revealed a significant positive direct effect of PRS on PPS (confidence interval [CI] 0.01-0.15), and an indirect effect, serially mediated by personality-based predictions and victimization (CI 0.006-0.01), replicated in the TRAILS cohort (CI 0.0004-0.004).

Conclusions: Adolescent personality changes may predate future experiences associated with psychosis susceptibility. PPS personality-based predictions mediate the relationship between PRS and victimization toward adult PPS, suggesting that gene-environment correlations proposed for psychosis are partly mediated by personality.

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来源期刊
Psychological Medicine
Psychological Medicine 医学-精神病学
CiteScore
11.30
自引率
4.30%
发文量
711
审稿时长
3-6 weeks
期刊介绍: Now in its fifth decade of publication, Psychological Medicine is a leading international journal in the fields of psychiatry, related aspects of psychology and basic sciences. From 2014, there are 16 issues a year, each featuring original articles reporting key research being undertaken worldwide, together with shorter editorials by distinguished scholars and an important book review section. The journal''s success is clearly demonstrated by a consistently high impact factor.
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