Literature DB >> 29167169

Cutting-edge microangio-CT: new dimensions in vascular imaging and kidney morphometry.

Ruslan Hlushchuk1, Cédric Zubler1, Sébastien Barré1, Carlos Correa Shokiche1,2, Laura Schaad1, Raphael Röthlisberger1, Monika Wnuk1, Christoph Daniel3, Oleksiy Khoma1, Stefan A Tschanz1, Mauricio Reyes2, Valentin Djonov1.   

Abstract

In the last decades, the contrast-enhanced micro-computed tomography (micro-CT) imaging of a whole animal kidney became increasingly important. The visualization was mainly limited to middle-sized vessels. Since modern desktop micro-CT scanners provide the necessary detail resolution, we developed an approach for rapid visualization and consistent assessment of kidney vasculature and glomeruli number. This method is based on μAngiofil, a new polymerizing contrast agent with homogenous X-ray absorption, which provides continuous filling of the complete vasculature and enables correlative imaging approaches. For rapid and reliable kidney morphometry, the microangio-CT (µaCT) data sets from glial cell line-derived neurotrophic factor (GDNF)+/- mice and their wild-type littermates were used. The results were obtained much faster compared with the current gold standard, histology-based stereology, and without processing artifacts. The histology-based morphometry was done afterward on the same kidneys. Both approaches revealed that the GDNF+/- male mice had about 40% fewer glomeruli. Furthermore, our approach allows for the definition of sites of interest for further histological investigation, i.e., correlative morphology. The polymerized μAngiofil stays in perfused vessels and is autofluorescent, which is what greatly facilitates the matching of histological sections with µaCT data. The presented approach is a time-efficient, reliable, qualitative, and quantitative methodology. Besides glomerular morphometry, the µaCT data can be used for qualitative and quantitative analysis of the kidney vasculature and correlative morphology.

Entities:  

Keywords:  contrast agent; kidney morphometry; micro-CT; stereology; µAngiofil

Mesh:

Substances:

Year:  2017        PMID: 29167169     DOI: 10.1152/ajprenal.00099.2017

Source DB:  PubMed          Journal:  Am J Physiol Renal Physiol        ISSN: 1522-1466


  10 in total

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  10 in total

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