Department of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena, s/n, Leioa 48940, Spain.
Service of Anatomic Pathology, Cruces University Hospital, University of the Basque Country (UPV/EHU), Cruces (Barakaldo) 48903, Spain.
Anal Chem. 2021 Jul 13;93(27):9364-9372. doi: 10.1021/acs.analchem.1c00649. Epub 2021 Jun 30.
For many years, traditional histology has been the gold standard for the diagnosis of many diseases. However, alternative and powerful techniques have appeared in recent years that complement the information extracted from a tissue section. One of the most promising techniques is imaging mass spectrometry applied to lipidomics. Here, we demonstrate the capabilities of this technique to highlight the architectural features of the human kidney at a spatial resolution of 10 μm. Our data demonstrate that up to seven different segments of the nephron and the interstitial tissue can be readily identified in the sections according to their characteristic lipid fingerprints and that such fingerprints are maintained among different individuals ( = 32). These results set the foundation for further studies on the metabolic bases of the diseases affecting the human kidney.
多年来,传统组织学一直是许多疾病诊断的金标准。然而,近年来出现了一些替代的强大技术,它们补充了从组织切片中提取的信息。其中最有前途的技术之一是应用于脂质组学的成像质谱技术。在这里,我们展示了该技术的能力,以 10μm 的空间分辨率突出人类肾脏的结构特征。我们的数据表明,根据其特征脂质指纹,在切片中可以很容易地识别出多达七个不同的肾单位和间质组织段,并且这些指纹在不同个体之间得以保留(n=32)。这些结果为进一步研究影响人类肾脏的疾病的代谢基础奠定了基础。