Solstrand Dahlberg Linda, Viessmann Olivia, Linnman Clas
Department of Anesthesiology, Perioperative and Pain Medicine (L.S.D., C.L.), Boston Children's Hospital, Harvard Medical School, MA; Departments of Psychiatry and Radiology (L.S.D., C.L.), Massachusetts General Hospital, Harvard Medical School; Department of Neurology and Neurosurgery (L.S.D.), Montreal Neurological Institute, McGill University, Canada; Athinoula A. Martinos Center for Biomedical Imaging (O.V.), Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, Boston; and Spaulding Neuroimaging Lab (C.L.), Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA.
Neurol Genet. 2020 Feb 26;6(2):e401. doi: 10.1212/NXG.0000000000000401. eCollection 2020 Apr.
Measures of spinal cord structure can be a useful phenotype to track disease severity and development; this observational study measures the hereditability of cervical spinal cord anatomy and its correlates in healthy human beings.
Twin data from the Human Connectome Project were analyzed with semiautomated spinal cord segmentation, evaluating test-retest reliability and broad-sense heritability with an AE model. Relationships between spinal cord metrics, general physical measures, regional brain structural measures, and motor function were assessed.
We found that the spinal cord C2 cross-sectional area (CSA), left-right width (LRW), and anterior-posterior width (APW) are highly heritable (85%-91%). All measures were highly correlated with the brain volume, and CSA only was positively correlated with thalamic volumes ( = 0.005) but negatively correlated with the occipital cortex area ( = 0.001). LRW was correlated with the participant's height ( = 0.00027). The subjects' sex significantly influenced these metrics. Analyses of a test-retest data set confirmed validity of the approach.
This study provides the evidence of genetic influence on spinal cord structure. MRI metrics of cervical spinal cord anatomy are robust and not easily influenced by nonpathological environmental factors, providing a useful metric for monitoring normal development and progression of neurodegenerative disorders affecting the spinal cord, including-but not limited to-spinal cord injury and MS.
脊髓结构测量可作为追踪疾病严重程度和发展的有用表型;本观察性研究测量了健康人群中颈段脊髓解剖结构的遗传性及其相关性。
利用人类连接组计划的双胞胎数据,通过半自动脊髓分割进行分析,采用AE模型评估重测信度和广义遗传力。评估脊髓指标、一般身体测量、脑区结构测量和运动功能之间的关系。
我们发现脊髓C2横截面积(CSA)、左右宽度(LRW)和前后宽度(APW)具有高度遗传性(85%-91%)。所有测量指标均与脑容量高度相关,只有CSA与丘脑体积呈正相关(=0.005),但与枕叶皮质面积呈负相关(=0.001)。LRW与参与者的身高相关(=0.00027)。受试者的性别对这些指标有显著影响。对重测数据集的分析证实了该方法的有效性。
本研究提供了基因对脊髓结构有影响的证据。颈段脊髓解剖结构的MRI指标稳健,不易受非病理性环境因素影响,为监测影响脊髓的神经退行性疾病(包括但不限于脊髓损伤和多发性硬化症)的正常发育和进展提供了有用的指标。