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Gaupp C, Schmid B, Tripal P, Edwards A, Daniel C, Zimmermann S, Goppelt-Struebe M, Willam C, Rosen S, Schley G. Reconfiguration and loss of peritubular capillaries in chronic kidney disease. Sci Rep 2023; 13:19660. [PMID: 37952029 PMCID: PMC10640592 DOI: 10.1038/s41598-023-46146-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 10/27/2023] [Indexed: 11/14/2023] Open
Abstract
Functional and structural alterations of peritubular capillaries (PTCs) are a major determinant of chronic kidney disease (CKD). Using a software-based algorithm for semiautomatic segmentation and morphometric quantification, this study analyzes alterations of PTC shape associated with chronic tubulointerstitial injury in three mouse models and in human biopsies. In normal kidney tissue PTC shape was predominantly elongated, whereas the majority of PTCs associated with chronic tubulointerstitial injury had a rounder shape. This was reflected by significantly reduced PTC luminal area, perimeter and diameters as well as by significantly increased circularity and roundness. These morphological alterations were consistent in all mouse models and human kidney biopsies. The mean circularity of PTCs correlated significantly with categorized glomerular filtration rates and the degree of interstitial fibrosis and tubular atrophy (IFTA) and classified the presence of CKD or IFTA. 3D reconstruction of renal capillaries revealed not only a significant reduction, but more importantly a substantial simplification and reconfiguration of the renal microvasculature in mice with chronic tubulointerstitial injury. Computational modelling predicted that round PTCs can deliver oxygen more homogeneously to the surrounding tissue. Our findings indicate that alterations of PTC shape represent a common and uniform reaction to chronic tubulointerstitial injury independent of the underlying kidney disease.
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Affiliation(s)
- Charlotte Gaupp
- Department of Nephrology and Hypertension, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - Benjamin Schmid
- Optical Imaging Center Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Philipp Tripal
- Optical Imaging Center Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Aurélie Edwards
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Christoph Daniel
- Department of Nephropathology, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
| | - Stefan Zimmermann
- Department of Computer Science, University of Applied Sciences Worms, Worms, Germany
| | - Margarete Goppelt-Struebe
- Department of Nephrology and Hypertension, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - Carsten Willam
- Department of Nephrology and Hypertension, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - Seymour Rosen
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Gunnar Schley
- Department of Nephrology and Hypertension, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany.
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Tadeo I, Gamero-Sandemetrio E, Berbegall AP, Gironella M, Ritort F, Cañete A, Bueno G, Navarro S, Noguera R. Lymph microvascularization as a prognostic indicator in neuroblastoma. Oncotarget 2018; 9:26157-26170. [PMID: 29899849 PMCID: PMC5995242 DOI: 10.18632/oncotarget.25457] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 05/05/2018] [Indexed: 12/29/2022] Open
Abstract
Neuroblastoma is the most common extra-cranial solid pediatric cancer and causes approximately 15% of all childhood deaths from cancer. Although lymphatic vasculature is a prerequisite for the maintenance of tissue fluid balance and immunity in the body, little is known about the relationship between lymphatic vascularization and prognosis in neuroblastoma. We used our previously-published custom-designed tool to close open-outline vessels and measure the density, size and shape of all lymphatic vessels and microvascular segments in 332 primary neuroblastoma contained in tissue microarrays. The results were correlated with clinical and biological features of known prognostic value and with risk of progression to establish histological lymphatic vascular patterns associated with unfavorable histology. A high proportion of irregular intermediate lymphatic capillaries and irregular small collector vessels were present in tumors from patients with metastatic stage, undifferentiating neuroblasts and/or classified in the high risk. In addition, a higher lymphatic microvascularization density was found to be predictive of overall survival. Our findings show the crucial role of lymphatic vascularization in metastatic development and maintenance of tumor tissue homeostasis. These patterns may therefore help to indicate more accurate pre-treatment risk stratification and could provide candidate targets for novel therapies.
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Affiliation(s)
- Irene Tadeo
- Pathology Department, Medical School, University of Valencia-INCLIVA, Valencia, Spain.,CIBERONC, Madrid, Spain
| | - Esther Gamero-Sandemetrio
- Pathology Department, Medical School, University of Valencia-INCLIVA, Valencia, Spain.,CIBERONC, Madrid, Spain
| | - Ana P Berbegall
- Pathology Department, Medical School, University of Valencia-INCLIVA, Valencia, Spain.,CIBERONC, Madrid, Spain
| | - Marta Gironella
- Condensed Matter Physics Department, University of Barcelona, Barcelona, Spain.,CIBER-BBN, Madrid, Spain
| | - Félix Ritort
- Condensed Matter Physics Department, University of Barcelona, Barcelona, Spain.,CIBER-BBN, Madrid, Spain
| | | | - Gloria Bueno
- VISILAB, E.T.S.I. Industriales, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Samuel Navarro
- Pathology Department, Medical School, University of Valencia-INCLIVA, Valencia, Spain.,CIBERONC, Madrid, Spain
| | - Rosa Noguera
- Pathology Department, Medical School, University of Valencia-INCLIVA, Valencia, Spain.,CIBERONC, Madrid, Spain
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The METINUS Plus method for nuclei quantification in tissue microarrays of breast cancer and axillary node tissue section. Biomed Signal Process Control 2017. [DOI: 10.1016/j.bspc.2016.09.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Bueno G, Fernández-Carrobles MM, Deniz O, García-Rojo M. New Trends of Emerging Technologies in Digital Pathology. Pathobiology 2017; 83:61-9. [PMID: 27100343 DOI: 10.1159/000443482] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
The future paradigm of pathology will be digital. Instead of conventional microscopy, a pathologist will perform a diagnosis through interacting with images on computer screens and performing quantitative analysis. The fourth generation of virtual slide telepathology systems, so-called virtual microscopy and whole-slide imaging (WSI), has allowed for the storage and fast dissemination of image data in pathology and other biomedical areas. These novel digital imaging modalities encompass high-resolution scanning of tissue slides and derived technologies, including automatic digitization and computational processing of whole microscopic slides. Moreover, automated image analysis with WSI can extract specific diagnostic features of diseases and quantify individual components of these features to support diagnoses and provide informative clinical measures of disease. Therefore, the challenge is to apply information technology and image analysis methods to exploit the new and emerging digital pathology technologies effectively in order to process and model all the data and information contained in WSI. The final objective is to support the complex workflow from specimen receipt to anatomic pathology report transmission, that is, to improve diagnosis both in terms of pathologists' efficiency and with new information. This article reviews the main concerns about and novel methods of digital pathology discussed at the latest workshop in the field carried out within the European project AIDPATH (Academia and Industry Collaboration for Digital Pathology).
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Extracellular matrix composition defines an ultra-high-risk group of neuroblastoma within the high-risk patient cohort. Br J Cancer 2016; 115:480-9. [PMID: 27415013 PMCID: PMC4985353 DOI: 10.1038/bjc.2016.210] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Revised: 06/08/2016] [Accepted: 06/15/2016] [Indexed: 12/17/2022] Open
Abstract
Background: Although survival for neuroblastoma patients has dramatically improved in recent years, a substantial number of children in the high-risk subgroup still die. Methods: We aimed to define a subgroup of ultra-high-risk patients from within the high-risk cohort. We used advanced morphometric approaches to quantify and characterise blood vessels, reticulin fibre networks, collagen type I bundles, elastic fibres and glycosaminoglycans in 102 high-risk neuroblastomas specimens. The Kaplan–Meier method was used to correlate the analysed elements with survival. Results: The organisation of blood vessels and reticulin fibres in neuroblastic tumours defined an ultra-high-risk patient subgroup with 5-year survival rate <15%. Specifically, tumours with irregularly shaped blood vessels, large sinusoid-like vessels, smaller and tortuous venules and arterioles and with large areas of reticulin fibres forming large, crosslinking, branching and haphazardly arranged networks were linked to the ultra-high-risk phenotype. Conclusions: We demonstrate that quantification of tumour stroma components by morphometric techniques has the potential to improve risk stratification of neuroblastoma patients.
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Comparison of the manual, semiautomatic, and automatic selection and leveling of hot spots in whole slide images for Ki-67 quantification in meningiomas. Anal Cell Pathol (Amst) 2015; 2015:498746. [PMID: 26240787 PMCID: PMC4512563 DOI: 10.1155/2015/498746] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Revised: 06/10/2015] [Accepted: 06/14/2015] [Indexed: 01/31/2023] Open
Abstract
Background. This paper presents the study concerning hot-spot selection in the assessment of whole slide images of tissue sections collected from meningioma patients. The samples were immunohistochemically stained to determine the Ki-67/MIB-1 proliferation index used for prognosis and treatment planning. Objective. The observer performance was examined by comparing results of the proposed method of automatic hot-spot selection in whole slide images, results of traditional scoring under a microscope, and results of a pathologist's manual hot-spot selection. Methods. The results of scoring the Ki-67 index using optical scoring under a microscope, software for Ki-67 index quantification based on hot spots selected by two pathologists (resp., once and three times), and the same software but on hot spots selected by proposed automatic methods were compared using Kendall's tau-b statistics. Results. Results show intra- and interobserver agreement. The agreement between Ki-67 scoring with manual and automatic hot-spot selection is high, while agreement between Ki-67 index scoring results in whole slide images and traditional microscopic examination is lower. Conclusions. The agreement observed for the three scoring methods shows that automation of area selection is an effective tool in supporting physicians and in increasing the reliability of Ki-67 scoring in meningioma.
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Marien KM, Andries L, De Schepper S, Kockx MM, De Meyer GRY. AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images. MethodsX 2015; 2:272-7. [PMID: 26150998 PMCID: PMC4487922 DOI: 10.1016/j.mex.2015.05.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2015] [Accepted: 05/11/2015] [Indexed: 10/26/2022] Open
Abstract
Tumor angiogenesis is measured by counting microvessels in tissue sections at high power magnification as a potential prognostic or predictive biomarker. Until now, regions of interest (ROIs) were selected by manual operations within a tumor by using a systematic uniform random sampling (SURS) approach. Although SURS is the most reliable sampling method, it implies a high workload. However, SURS can be semi-automated and in this way contribute to the development of a validated quantification method for microvessel counting in the clinical setting. Here, we report a method to use semi-automated SURS for microvessel counting: •Whole slide imaging with Pannoramic SCAN (3DHISTECH)•Computer-assisted sampling in Pannoramic Viewer (3DHISTECH) extended by two self-written AutoHotkey applications (AutoTag and AutoSnap)•The use of digital grids in Photoshop(®) and Bridge(®) (Adobe Systems) This rapid procedure allows traceability essential for high throughput protein analysis of immunohistochemically stained tissue.
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Affiliation(s)
- Koen M Marien
- Laboratory of Physiopharmacology, University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium ; HistoGeneX NV, ZNA Middelheim Campus, Lindendreef 1, B-2020 Antwerp, Belgium
| | - Luc Andries
- HistoGeneX NV, ZNA Middelheim Campus, Lindendreef 1, B-2020 Antwerp, Belgium
| | | | - Mark M Kockx
- HistoGeneX NV, ZNA Middelheim Campus, Lindendreef 1, B-2020 Antwerp, Belgium
| | - Guido R Y De Meyer
- Laboratory of Physiopharmacology, University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium
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