Maternal Biomarkers and Environmental Contributors to Autism Spectrum Disorders in Children of First-time Mothers
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 600
- 主要终点
- Diagnosis of autims
研究概览
简要总结
This study will recruit nuMoM2b participants to complete autism screening surveys and will identify 200 children with autism and 400 controls for the study. It will then use existing biospecimens to measure pesticides in maternal urine and metabolomic urine and cord blood predictors of autism risk. All data will then be used to build a predictive model for autism risk at the child's birth.
详细描述
NuMoM2b participans will be contacted as part of ongoing contacts and will be consented for their offspring to participate. The children will also undergo an Assent process. Screening for autism will occur using standard validated tools and anyone who screens positive will have remote diagnostic testing with trained study staff. The study aims to identify a cohort of 200 children with autism and will then randomly select a group of 400 children typically developing. Predictive models for autism will be constructed using pregnancy and birth data as well as biomarkers from maternal urine and cord blood. We will include metabolomic biomarkers as well as environmental exposures to assess if they improve the predictive model.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •child of nuMoM2b study participant
排除标准
- •no biological samples collected during pregnancy
结局指标
主要结局
Diagnosis of autims
时间窗: The children are age 11-14 currently. The outcome will be measured during contact with the children in the first 18 months of the project.
Autism diagnoses will be made using the Autism Diagnostic Inventory on all children who screen positive. Alternatively, if already diagnosed clinically, we will request the diagnostic tool used previously for the child.
次要结局
未报告次要终点
研究者
David Haas
Professor of Medicine
Indiana University