Laboratory for Artificial Intelligence in Medical Imaging, Klinik für Kinder- und Jugendpsychiatrie, Klinikum der Universität München, Ludwig-Maximilians-Universität München, München, Germany.
Center for Neuroimaging and Indiana Alzheimer Disease Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana.
Biol Psychiatry. 2018 Oct 1;84(7):522-530. doi: 10.1016/j.biopsych.2018.04.017. Epub 2018 May 9.
Contralateral brain structures represent a unique, within-patient reference element for disease, and asymmetries can provide a personalized measure of the accumulation of past disease processes. Neuroanatomical shape asymmetries have recently been associated with the progression of Alzheimer's disease (AD), but the biological basis of asymmetric brain changes in AD remains unknown.
We investigated genetic influences on brain asymmetry by identifying associations between magnetic resonance imaging-derived measures of asymmetry and candidate single nucleotide polymorphisms (SNPs) that have previously been identified in genome-wide association studies for AD diagnosis and for brain subcortical volumes. For analyzing longitudinal neuroimaging data (1241 individuals, 6395 scans), we used a mixed effects model with interaction between genotype and diagnosis.
Significant associations between asymmetry of the amygdala, hippocampus, and putamen and SNPs in the genes BIN1, CD2AP, ZCWPW1, ABCA7, TNKS, and DLG2 were found.
The associations between SNPs in the genes TNKS and DLG2 and AD-related increases in shape asymmetry are of particular interest; these SNPs have previously been associated with subcortical volumes of amygdala and putamen but have not yet been associated with AD pathology. For AD candidate SNPs, we extend previous work to show that their effects on subcortical brain structures are asymmetric. This provides novel evidence about the biological underpinnings of brain asymmetry as a disease marker.
对侧大脑结构代表了一种独特的、患者内部的疾病参考元素,其不对称性可以提供过去疾病过程累积的个性化衡量标准。神经解剖结构的不对称性最近与阿尔茨海默病(AD)的进展有关,但 AD 中不对称性脑变化的生物学基础尚不清楚。
我们通过确定磁共振成像(MRI)衍生的不对称性测量值与先前在 AD 诊断和大脑皮质下体积的全基因组关联研究中确定的候选单核苷酸多态性(SNP)之间的关联,研究了遗传对大脑不对称性的影响。对于分析纵向神经影像学数据(1241 人,6395 次扫描),我们使用混合效应模型,其中包括基因型和诊断之间的相互作用。
在杏仁核、海马体和壳核的不对称性与 BIN1、CD2AP、ZCWPW1、ABCA7、TNKS 和 DLG2 基因中的 SNP 之间发现了显著的关联。
TNKS 和 DLG2 基因中的 SNP 与 AD 相关的形状不对称性增加之间的关联特别有趣;这些 SNP 先前与杏仁核和壳核的皮质下体积有关,但尚未与 AD 病理学有关。对于 AD 候选 SNP,我们扩展了先前的工作,表明它们对皮质下脑结构的影响是不对称的。这为大脑不对称性作为疾病标志物的生物学基础提供了新的证据。