Public Health, University of California, Irvine, CA, USA.
Center for Neurobiology of Learning and Memory.
Acta Neuropsychiatr. 2024 Apr;36(2):87-96. doi: 10.1017/neu.2022.34. Epub 2023 Jan 26.
The current small study utilised prospective data collection of patterns of prenatal alcohol and tobacco exposure (PAE and PTE) to examine associations with structural brain outcomes in 6-year-olds and served as a pilot to determine the value of prospective data describing community-level patterns of PAE and PTE in a non-clinical sample of children. Participants from the Safe Passage Study in pregnancy were approached when their child was ∼6 years old and completed structural brain magnetic resonance imaging to examine with archived PAE and PTE data ( = 51 children-mother dyads). Linear regression was used to conduct whole-brain structural analyses, with false-discovery rate (FDR) correction, to examine: (a) main effects of PAE, PTE and their interaction; and (b) predictive potential of data that reflect of PAE and PTE (e.g. quantity, frequency and timing (QFT)). Associations between PAE, PTE and their interaction with brain structural measures demonstrated unique profiles of cortical and subcortical alterations that were distinct between PAE only, PTE only and their interactive effects. Analyses examining associations between patterns of PAE and PTE (e.g. QFT) were able to significantly detect brain alterations (that survived FDR correction) in this small non-clinical sample of children. These findings support the hypothesis that considering QFT and co-exposures is important for identifying brain alterations following PAE and/or PTE in a small group of young children. Current results demonstrate that teratogenic outcomes on brain structure differ as a function PAE, PTE or their co-exposures, as well as the pattern (QFT) or exposure.
当前的这项小型研究利用前瞻性数据收集了产前酒精和烟草暴露(PAE 和 PTE)模式,以研究其与 6 岁儿童大脑结构结果的关联,并作为一个试点,以确定前瞻性数据描述非临床儿童群体中 PAE 和 PTE 的社区模式的价值。当他们的孩子大约 6 岁时,妊娠安全通道研究的参与者被邀请,并完成了大脑磁共振成像检查,以检查存档的 PAE 和 PTE 数据(= 51 个儿童-母亲对子)。使用线性回归进行全脑结构分析,并进行假发现率(FDR)校正,以检查:(a)PAE、PTE 及其相互作用的主要影响;(b)反映 PAE 和 PTE 的数量、频率和时间(QFT)的数据的预测潜力。PAE、PTE 及其与大脑结构测量值的相互作用之间的关联显示了皮质和皮质下改变的独特模式,这些改变在 PAE 仅、PTE 仅及其相互作用之间是不同的。分析检查 PAE 和 PTE 模式(例如 QFT)之间的关联能够在这个小的非临床儿童样本中显著检测到大脑改变(经过 FDR 校正后仍然存在)。这些发现支持了这样一种假设,即考虑 QFT 和共同暴露对于识别 PAE 和/或 PTE 后大脑改变是重要的。目前的结果表明,作为 PAE、PTE 或其共同暴露以及模式(QFT)或暴露的函数,大脑结构的致畸后果不同。