Abookasis David, Lerman Danit, Roth Hava, Tfilin Matanel, Turgeman Gadi
Department of Electrical and Electronics Engineering, Ariel University, Ariel, Israel.
Department of Physics, Ariel University, Ariel, Israel.
J Biophotonics. 2018 Mar;11(3). doi: 10.1002/jbio.201600322. Epub 2017 Oct 26.
In this study, we made use of dual-wavelength laser speckle imaging (DW-LSI) to assess cerebral blood flow (CBF) in the BTBR-genetic mouse model of autism spectrum disorder, as well as control (C57Bl/6J) mice. Since the deficits in social behavior demonstrated by BTBR mice are attributed to changes in neural tissue structure and function, we postulated that these changes can be detected optically using DW-LSI. BTBR mice demonstrated reductions in both CBF and cerebral oxygen metabolism (CMRO ), as suggested by studies using conventional neuroimaging technologies to reflect impaired neuronal activation and cognitive function. To validate the monitoring of CBF by DW-LSI, measurements with laser Doppler flowmetry (LDF) were also performed which confirmed the lowered CBF in the autistic-like group. Furthermore, we found in vivo cortical CBF measurements to predict the rate of hippocampal neurogenesis, measured ex vivo by the number of neurons expressing doublecortin or the cellular proliferation marker Ki-67 in the dentate gyrus, with a strong positive correlation between CBF and neurogenesis markers (Pearson, r = 0.78; 0.9, respectively). These novel findings identifying cortical CBF as a predictive parameter of hippocampal neurogenesis highlight the power and flexibility of the DW-LSI and LDF setups for studying neurogenesis trends under normal and pathological conditions.
在本研究中,我们利用双波长激光散斑成像(DW-LSI)来评估自闭症谱系障碍的BTBR基因小鼠模型以及对照(C57Bl/6J)小鼠的脑血流量(CBF)。由于BTBR小鼠表现出的社交行为缺陷归因于神经组织结构和功能的变化,我们推测这些变化可以通过DW-LSI进行光学检测。如使用传统神经成像技术反映神经元激活和认知功能受损的研究所表明的,BTBR小鼠的CBF和脑氧代谢(CMRO)均降低。为了验证DW-LSI对CBF的监测,还进行了激光多普勒血流仪(LDF)测量,其证实了自闭症样组中CBF降低。此外,我们发现体内皮质CBF测量可预测海马神经发生速率,通过齿状回中表达双皮质素的神经元数量或细胞增殖标志物Ki-67的数量进行离体测量,CBF与神经发生标志物之间存在强正相关(皮尔逊相关系数,r分别为0.78;0.9)。这些将皮质CBF确定为海马神经发生预测参数的新发现突出了DW-LSI和LDF设置在研究正常和病理条件下神经发生趋势方面的强大功能和灵活性。