Good Christopher J, Bowman Andrew P, Klein Corinna, Awwad Khader, Buck Wayne R, Yang Junhai, Wagner David S
AbbVie Inc., North Chicago, Illinois, USA.
AbbVie Deutschland GmbH & Co. KG, Ludwigshafen, Germany.
J Mass Spectrom. 2025 Sep;60(9):e5161. doi: 10.1002/jms.5161.
In pharmaceutical research and development, technologies like mass spectrometry imaging (MSI) offer spatially resolved compound distributions to aid in the discovery of drug targets and development of drug candidates. Through traditional and immunohistochemical approaches centered around MSI, distributions of endogenous lipids and proteins can be mapped on the same tissue section at cellular resolution. To highlight the cellular resolution capability of the integrated MSI workflow leveraged here, an animal model of Alzheimer's disease (AD) was interrogated due to the relationship of lipid dysregulation and extracellular protein deposition in driving disease pathology, especially at the site of amyloid beta (Aβ) plaques. Gangliosides, Aβ peptides, and microglia were imaged at 5 μm spatial resolution in the brains of an APPPS1 mouse model. GM3 and GM2 gangliosides displayed plaque-associated accumulation as supported by previous studies of a range of AD models. Advanced methods for achieving cellular resolution imaging of lipids and proteins have revealed heterogeneity in molecular distributions, which appears to be influenced by the microenvironment surrounding Aβ plaques. While these data could support future biological conclusions of AD, a central aim of this study was to emphasize the potential impact of an MSI workflow, which fuses spatial lipidomic and proteomic data at cellular resolution, on translational drug discovery research. This dual molecular imaging approach and data mining strategy can not only support efforts in the discovery of novel drug targets, but also in evaluating drug-target engagement when the distribution of a small molecule drug is simultaneously investigated.
在药物研发中,质谱成像(MSI)等技术可提供空间分辨的化合物分布,以辅助药物靶点的发现和候选药物的开发。通过围绕MSI的传统方法和免疫组化方法,可以在同一组织切片上以细胞分辨率绘制内源性脂质和蛋白质的分布图。为了突出本文所采用的综合MSI工作流程的细胞分辨率能力,我们研究了阿尔茨海默病(AD)动物模型,因为脂质失调与细胞外蛋白质沉积在驱动疾病病理过程中存在关联,尤其是在淀粉样β(Aβ)斑块部位。在APPPS1小鼠模型的大脑中,以5μm的空间分辨率对神经节苷脂、Aβ肽和小胶质细胞进行了成像。GM3和GM2神经节苷脂显示出与斑块相关的积累,这得到了一系列AD模型先前研究的支持。实现脂质和蛋白质细胞分辨率成像的先进方法揭示了分子分布的异质性,这似乎受Aβ斑块周围微环境的影响。虽然这些数据可以支持AD未来的生物学结论,但本研究的一个主要目的是强调MSI工作流程在转化药物发现研究中的潜在影响,该工作流程在细胞分辨率下融合了空间脂质组学和蛋白质组学数据。这种双分子成像方法和数据挖掘策略不仅可以支持发现新型药物靶点的工作,还可以在同时研究小分子药物分布时评估药物与靶点的结合情况。