Label-Free Quantitative Phase Imaging Reveals Spatial Heterogeneity of Extracellular Vesicles in Select Colon Disorders

Three-dimensional (3D) imaging and quantitative analysis of extracellular vesicles (EVs) remain largely unexplored, mainly because of limitations in detection techniques. In this study, EVs from patients diagnosed with colorectal cancer (CRC) and ulcerative colitis were examined. To investigate the...

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Veröffentlicht in:The American journal of pathology 2021-12, Vol.191 (12), p.2147-2171
Hauptverfasser: Zadka, Łukasz, Buzalewicz, Igor, Ulatowska-Jarża, Agnieszka, Rusak, Agnieszka, Kochel, Maria, Ceremuga, Ireneusz, Dzięgiel, Piotr
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container_end_page 2171
container_issue 12
container_start_page 2147
container_title The American journal of pathology
container_volume 191
creator Zadka, Łukasz
Buzalewicz, Igor
Ulatowska-Jarża, Agnieszka
Rusak, Agnieszka
Kochel, Maria
Ceremuga, Ireneusz
Dzięgiel, Piotr
description Three-dimensional (3D) imaging and quantitative analysis of extracellular vesicles (EVs) remain largely unexplored, mainly because of limitations in detection techniques. In this study, EVs from patients diagnosed with colorectal cancer (CRC) and ulcerative colitis were examined. To investigate the spatial heterogeneity and 3D refractive index (RI) distribution of single EVs, a label-free digital holographic tomography technique was used at a submicrometer spatial resolution. The presented image-processing algorithms were used in quantitative analysis with digital staining and 3D visualization, the determination of the EV size distribution and extraction of fractions with different RIs. Reconstructed 3D RI distributions revealed variations in the spatial heterogeneity of EVs related to tissue specificity, such as CRC, normal colonic mucosa, and ulcerative colitis, as well as the isolation procedures used. The RI values of EVs isolated from solid tissues of frozen CRC samples were also dependent on the tumor grade and cancer cell proliferation. The simultaneous examination of cell culture models confirmed the association of the RI of EVs with the tumor grade. 3D-RI data analysis generates new perspectives with the optical, contact-free, label-free examination of the individual EVs. Depending on the specific tissue and isolation method, EVs exhibit significant spatial heterogeneity. The optical parameters of single EVs enabled their classification into two unique subgroups with different RI values.
doi_str_mv 10.1016/j.ajpath.2021.08.005
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subjects Adenocarcinoma - diagnosis
Adenocarcinoma - metabolism
Adenocarcinoma - pathology
Aged
Aged, 80 and over
Algorithms
Biomarkers, Tumor - analysis
Biomarkers, Tumor - blood
Biomarkers, Tumor - metabolism
Cell-Derived Microparticles - metabolism
Cell-Derived Microparticles - pathology
Cells, Cultured
Colitis, Ulcerative - diagnosis
Colitis, Ulcerative - metabolism
Colitis, Ulcerative - pathology
Colon - diagnostic imaging
Colon - metabolism
Colon - pathology
Colon - ultrastructure
Colonic Diseases - diagnosis
Colonic Diseases - metabolism
Colonic Diseases - pathology
Colorectal Neoplasms - diagnosis
Colorectal Neoplasms - metabolism
Colorectal Neoplasms - pathology
Diagnostic Imaging - methods
Extracellular Vesicles - metabolism
Extracellular Vesicles - pathology
Female
Humans
Image Processing, Computer-Assisted
Male
Middle Aged
Predictive Value of Tests
Retrospective Studies
Tissue Distribution
title Label-Free Quantitative Phase Imaging Reveals Spatial Heterogeneity of Extracellular Vesicles in Select Colon Disorders
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