Umeå Centre for Molecular Medicine, Umeå University, Umeå, Sweden.
Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Commun Biol. 2021 Sep 10;4(1):1063. doi: 10.1038/s42003-021-02589-x.
The possibility to quantitatively study specific molecular/cellular features of complete human organs with preserved spatial 3D context would have widespread implications for pre-clinical and clinical medicine. Whereas optical 3D imaging approaches have experienced a formidable revolution, they have remained limited due to current incapacities in obtaining specific labelling within large tissue volumes. We present a simple approach enabling reconstruction of antibody labeled cells within entire human organs with preserved organ context. We demonstrate the utility of the approach by providing volumetric data and 3D distribution of hundreds of thousands of islets of Langerhans within the human pancreas. By assessments of pancreata from non-diabetic and type 2 diabetic individuals, we display previously unrecognized features of the human islet mass distribution and pathology. As such, this method may contribute not only in unraveling new information of the pancreatic anatomy/pathophysiology, but it may be translated to essentially any antibody marker or organ system.
定量研究具有保留空间 3D 结构的完整人体器官的特定分子/细胞特征的可能性将对临床前和临床医学产生广泛影响。虽然光学 3D 成像方法经历了一场巨大的革命，但由于目前在大组织体积中获得特定标记的能力有限，它们仍然受到限制。我们提出了一种简单的方法，能够在保留器官结构的情况下重建整个人体器官中抗体标记细胞。我们通过提供数百个胰岛在人类胰腺中的体积数据和 3D 分布，证明了该方法的实用性。通过对非糖尿病和 2 型糖尿病个体的胰腺评估，我们展示了人类胰岛质量分布和病理学的以前未被识别的特征。因此，这种方法不仅可以帮助我们揭示胰腺解剖/病理生理学的新信息，还可以将其转化为几乎任何抗体标记物或器官系统。
