首页> 外文OA文献 >The EU-AIMS Longitudinal European Autism Project (LEAP) : design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders.
【2h】

The EU-AIMS Longitudinal European Autism Project (LEAP) : design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders.

机译:EU-AIMS纵向欧洲自闭症项目(LEAP):用于识别和验证自闭症谱系障碍分层生物标志物的设计和方法。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

BACKGROUND: The tremendous clinical and aetiological diversity among individuals with autism spectrum disorder (ASD) has been a major obstacle to the development of new treatments, as many may only be effective in particular subgroups. Precision medicine approaches aim to overcome this challenge by combining pathophysiologically based treatments with stratification biomarkers that predict which treatment may be most beneficial for particular individuals. However, so far, we have no single validated stratification biomarker for ASD. This may be due to the fact that most research studies primarily have focused on the identification of mean case-control differences, rather than within-group variability, and included small samples that were underpowered for stratification approaches. The EU-AIMS Longitudinal European Autism Project (LEAP) is to date the largest multi-centre, multi-disciplinary observational study worldwide that aims to identify and validate stratification biomarkers for ASD. METHODS: LEAP includes 437 children and adults with ASD and 300 individuals with typical development or mild intellectual disability. Using an accelerated longitudinal design, each participant is comprehensively characterised in terms of clinical symptoms, comorbidities, functional outcomes, neurocognitive profile, brain structure and function, biochemical markers and genomics. In addition, 51 twin-pairs (of which 36 had one sibling with ASD) are included to identify genetic and environmental factors in phenotypic variability. RESULTS: Here, we describe the demographic characteristics of the cohort, planned analytic stratification approaches, criteria and steps to validate candidate stratification markers, pre-registration procedures to increase transparency, standardisation and data robustness across all analyses, and share some 'lessons learnt'. A clinical characterisation of the cohort is given in the companion paper (Charman et al., accepted). CONCLUSION: We expect that LEAP will enable us to confirm, reject and refine current hypotheses of neurocognitive/neurobiological abnormalities, identify biologically and clinically meaningful ASD subgroups, and help us map phenotypic heterogeneity to different aetiologies.
机译:背景:自闭症谱系障碍(ASD)个体之间巨大的临床和病因学差异已成为开发新疗法的主要障碍,因为许多疗法可能仅对特定亚组有效。精密医学方法旨在通过结合基于病理生理学的治疗方法和分层生物标志物来克服这一挑战,这些标志物可预测哪种治疗方法对特定个体最有益。但是,到目前为止,我们还没有一个经过验证的ASD分层生物标志物。这可能是由于以下事实:大多数研究主要集中于确定平均病例对照差异,而不是组内差异,并且包括对分层方法没有足够能力的小样本。迄今为止,EU-AIMS纵向欧洲自闭症项目(LEAP)是全球规模最大,旨在识别和验证ASD分层生物标志物的多中心,多学科的观察性研究。方法:LEAP包括437名ASD儿童和成人以及300名典型发育或轻度智力障碍的个体。使用加速的纵向设计,可以根据临床症状,合并症,功能结局,神经认知特征,大脑结构和功能,生化标志物和基因组学对每个参与者进行全面表征。此外,还包括51对双胞胎(其中36对与ASD有同胞),以鉴定表型变异的遗传和环境因素。结果:在这里,我们描述了该人群的人口统计学特征,计划的分析分层方法,验证候选分层标记的标准和步骤,预注册程序以提高所有分析的透明度,标准化和数据稳健性,并分享一些“经验教训” 。该队列的临床特征在陪同论文中给出(Charman等,已接受)。结论:我们期望LEAP将使我们能够确认,拒绝和完善当前关于神经认知/神经生物学异常的假说,确定具有生物学和临床意义的ASD亚组,并帮助我们将表型异质性映射到不同的病因。

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号