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


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
07 Feb 2023
Historique:
received: 21 12 2022
revised: 27 01 2023
accepted: 31 01 2023
entrez: 25 2 2023
pubmed: 26 2 2023
medline: 3 3 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 36834652
pii: ijms24043240
doi: 10.3390/ijms24043240
pmc: PMC9959375
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : STE 2802/2-1

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Auteurs

Sammy Hermans (S)

Department of Genetics and Cell Biology, Maastricht University, 6200 MD Maastricht, The Netherlands.

Jacob Pilon (J)

Department of Genetics and Cell Biology, Maastricht University, 6200 MD Maastricht, The Netherlands.

Dennis Eschweiler (D)

Institute of Imaging and Computer Vision, RWTH Aachen University, 52074 Aachen, Germany.

Johannes Stegmaier (J)

Institute of Imaging and Computer Vision, RWTH Aachen University, 52074 Aachen, Germany.

Carmen A H Severens-Rijvers (CAH)

Pathology, GROW, Maastricht University Medical Centre (MUMC), 6229 HX Maastricht, The Netherlands.

Salwan Al-Nasiry (S)

Obstetrics and Gynaecology, GROW, Maastricht University Medical Centre (MUMC), 6229 HX Maastricht, The Netherlands.

Marc van Zandvoort (M)

Department of Genetics and Cell Biology, GROW, CARIM, MHeNS, Maastricht University, 6200 MD Maastricht, The Netherlands.
Institute for Molecular Cardiovascular Research IMCAR, University Hospital RWTH Aachen, 52074 Aachen, Germany.

Dimitrios Kapsokalyvas (D)

Department of Genetics and Cell Biology, Maastricht University, 6200 MD Maastricht, The Netherlands.
Interdisciplinary Centre for Clinical Research IZKF, University Hospital RWTH Aachen, 52074 Aachen, Germany.

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