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A multimodal imaging workflow to visualize metal mixtures in the human placenta and explore colocalization with biological response markers

机译:多模式成像工作流程,可可视化人类胎盘中的金属混合物并探索与生物反应标记物的共定位

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Fetal exposure to essential and toxic metals can influence life-long health trajectories. The placenta regulates chemical transmission from maternal circulation to the fetus and itself exhibits a complex response to environmental stressors. The placenta can thus be a useful matrix to monitor metal exposures and stress responses in utero, but strategies to explore the biologic effects of metal mixtures in this organ are not well-developed. In this proof-of-concept study, we used laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to measure the distributions of multiple metals in placental tissue from a low-birth-weight pregnancy, and we developed an approach to identify the components of metal mixtures that colocalized with biological response markers. Our novel workflow, which includes custom-developed software tools and algorithms for spatial outlier identification and background subtraction in multidimensional elemental image stacks, enables rapid image processing and seamless integration of data from elemental imaging and immunohistochemistry. Using quantitative spatial statistics, we identified distinct patterns of metal accumulation at sites of inflammation. Broadly, our multiplexed approach can be used to explore the mechanisms mediating complex metal exposures and biologic responses within placentae and other tissue types. Our LA-ICP-MS image processing workflow can be accessed through our interactive R Shiny application 'shinyImaging', which is available at https://mniedz.shinyapps.io/shinyImaging/ or through our laboratory's website, http://labs.icahn.mssm.edu/lautenberglab/research-areas/.
机译:胎儿暴露于必需和有毒金属会影响终身健康轨迹。胎盘调节着从母体循环到胎儿的化学传递,它本身对环境压力有复杂的反应。因此,胎盘可能是监测子宫内金属暴露和应激反应的有用基质,但探索该器官中金属混合物的生物效应的策略尚不完善。在这项概念验证研究中,我们使用激光消融-电感耦合等离子体质谱(LA-ICP-MS)来测量低出生体重妊娠胎盘组织中多种金属的分布,我们开发了一种鉴定与生物反应标记共定位的金属混合物成分的方法。我们新颖的工作流程包括用于多维元素图像堆栈中空间离群值识别和背景扣除的定制开发的软件工具和算法,可实现快速图像处理以及来自元素成像和免疫组织化学的数据的无缝集成。使用定量空间统计,我们确定了炎症部位金属积累的独特模式。广泛地讲,我们的多重方法可用于探索介导胎盘和其他组织类型内复杂金属暴露和生物反应的机制。可以通过交互式R Shiny应用程序“ shinyImaging”访问我们的LA-ICP-MS图像处理工作流程,该应用程序可从https://mniedz.shinyapps.io/shinyImaging/或通过我们实验室的网站http:// labs获得。 icahn.mssm.edu/lautenberglab/research-areas/。

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