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Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study

Pre-eclampsia is a severe placenta-related complication of pregnancy with limited early diagnostic and therapeutic options. Aetiological knowledge is controversial, and there is no universal consensus on what constitutes the early and late phenotypes of pre-eclampsia. Phenotyping of native placental...

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Autores principales: Hermans, Sammy, Pilon, Jacob, Eschweiler, Dennis, Stegmaier, Johannes, Severens–Rijvers, Carmen A. H., Al-Nasiry, Salwan, van Zandvoort, Marc, Kapsokalyvas, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959375/
https://www.ncbi.nlm.nih.gov/pubmed/36834652
http://dx.doi.org/10.3390/ijms24043240
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author Hermans, Sammy
Pilon, Jacob
Eschweiler, Dennis
Stegmaier, Johannes
Severens–Rijvers, Carmen A. H.
Al-Nasiry, Salwan
van Zandvoort, Marc
Kapsokalyvas, Dimitrios
author_facet Hermans, Sammy
Pilon, Jacob
Eschweiler, Dennis
Stegmaier, Johannes
Severens–Rijvers, Carmen A. H.
Al-Nasiry, Salwan
van Zandvoort, Marc
Kapsokalyvas, Dimitrios
author_sort Hermans, Sammy
collection PubMed
description Pre-eclampsia is a severe placenta-related complication of pregnancy with limited early diagnostic and therapeutic options. Aetiological knowledge is controversial, and there is no universal consensus on what constitutes the early and late phenotypes of pre-eclampsia. Phenotyping of native placental three-dimensional (3D) morphology offers a novel approach to improve our understanding of the structural placental abnormalities in pre-eclampsia. Healthy and pre-eclamptic placental tissues were imaged with multiphoton microscopy (MPM). Imaging based on inherent signal (collagen, and cytoplasm) and fluorescent staining (nuclei, and blood vessels) enabled the visualization of placental villous tissue with subcellular resolution. Images were analysed with a combination of open source (FIJI, VMTK, Stardist, MATLAB, DBSCAN), and commercially (MATLAB) available software. Trophoblast organization, 3D-villous tree structure, syncytial knots, fibrosis, and 3D-vascular networks were identified as quantifiable imaging targets. Preliminary data indicate increased syncytial knot density with characteristic elongated shape, higher occurrence of paddle-like villous sprouts, abnormal villous volume-to-surface ratio, and decreased vascular density in pre-eclampsia compared to control placentas. The preliminary data presented indicate the potential of quantifying 3D microscopic images for identifying different morphological features and phenotyping pre-eclampsia in placental villous tissue.
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spelling pubmed-99593752023-02-26 Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study Hermans, Sammy Pilon, Jacob Eschweiler, Dennis Stegmaier, Johannes Severens–Rijvers, Carmen A. H. Al-Nasiry, Salwan van Zandvoort, Marc Kapsokalyvas, Dimitrios Int J Mol Sci Article Pre-eclampsia is a severe placenta-related complication of pregnancy with limited early diagnostic and therapeutic options. Aetiological knowledge is controversial, and there is no universal consensus on what constitutes the early and late phenotypes of pre-eclampsia. Phenotyping of native placental three-dimensional (3D) morphology offers a novel approach to improve our understanding of the structural placental abnormalities in pre-eclampsia. Healthy and pre-eclamptic placental tissues were imaged with multiphoton microscopy (MPM). Imaging based on inherent signal (collagen, and cytoplasm) and fluorescent staining (nuclei, and blood vessels) enabled the visualization of placental villous tissue with subcellular resolution. Images were analysed with a combination of open source (FIJI, VMTK, Stardist, MATLAB, DBSCAN), and commercially (MATLAB) available software. Trophoblast organization, 3D-villous tree structure, syncytial knots, fibrosis, and 3D-vascular networks were identified as quantifiable imaging targets. Preliminary data indicate increased syncytial knot density with characteristic elongated shape, higher occurrence of paddle-like villous sprouts, abnormal villous volume-to-surface ratio, and decreased vascular density in pre-eclampsia compared to control placentas. The preliminary data presented indicate the potential of quantifying 3D microscopic images for identifying different morphological features and phenotyping pre-eclampsia in placental villous tissue. MDPI 2023-02-07 /pmc/articles/PMC9959375/ /pubmed/36834652 http://dx.doi.org/10.3390/ijms24043240 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hermans, Sammy
Pilon, Jacob
Eschweiler, Dennis
Stegmaier, Johannes
Severens–Rijvers, Carmen A. H.
Al-Nasiry, Salwan
van Zandvoort, Marc
Kapsokalyvas, Dimitrios
Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study
title Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study
title_full Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study
title_fullStr Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study
title_full_unstemmed Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study
title_short Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study
title_sort definition and quantification of three-dimensional imaging targets to phenotype pre-eclampsia subtypes: an exploratory study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959375/
https://www.ncbi.nlm.nih.gov/pubmed/36834652
http://dx.doi.org/10.3390/ijms24043240
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