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Investigating tuberculosis pathology in the human lung with 3D X-ray Histology; a correlative imaging approach

Investigating tuberculosis pathology in the human lung with 3D X-ray Histology; a correlative imaging approach
Investigating tuberculosis pathology in the human lung with 3D X-ray Histology; a correlative imaging approach
Tuberculosis kills more than 1.5 million people every year. (1) Most studies on tuberculosis use either animal or in vitro cell culture models that do not recapitulate human disease. The most common method of disease investigation (used in both research and clinical workflows) is the route of traditional histology, which involves thinly sectioning the sample and chemically staining said sections to extract specific molecular/cellular information about the tissue. However, such two-dimensional systems present with limitations regarding tissue connectivity and three-dimensionality of tissue structures. Consequently, fundamental mechanisms in human tuberculosis disease are poorly understood. (2-6) In this project, we have developed a correlative imaging approach by integrating non-invasive 3D micro-CT imaging (7-9) with traditional 2D histology of formalin-fixed paraffin-embedded (FFPE) human lung biopsies from tuberculosis patients. We leverage the third dimension added to our histology imaging data by micro-CT to explore disease process in tuberculosis, interrogating the structure of tuberculous granulomas and the interconnectivity of tissue microenvironments which is lost when imaging representative 2D sections by traditional optical microscopy.Human tuberculous lung biopsies were first imaged with micro-CT. The FFPE biopsies were then thinly sectioned and each section was stained with either histological or tinctorial stains to reveal areas of tuberculous pathology, fibrosis and calcification. Sections were scanned using a slide-scanner and optical microscopy. Manual segmentation in 3D was based on annotations performed by a consultant histopathologist on the digital histology slides. Preliminary data suggests that these analyses will provide unique insight into human disease and the interrelationships of microenvironments in 3D. 
References: (1) Global tuberculosis report 2020, World Health Organization (WHO), 2020, ISBN 978-92-4-001313-1(2) O'Garra A, Redford PS, McNab FW, et al. The immune response in tuberculosis. Annual Review of Immunology. 2013;31:475-527; DOI: 10.1146/annurev-immunol-032712-095939(3) Bielecka MK, Tezera LB, Zmijan R, et al. A Bioengineered Three-Dimensional Cell Culture Platform Integrated with Microfluidics To Address Antimicrobial Resistance in Tuberculosis. MBio 2017;8(1):e02073-16; DOI: 10.1128/mBio.02073-16(4) Tezera LB, Bielecka MK, Chancellor A, et al. Dissection of the host-pathogen interaction in human tuberculosis using a bioengineered 3-dimensional model. eLife 2017;6:e21283; DOI: 10.7554/eLife.21283(5) Workman VL, Tezera LB, Elkington PT, et al. Controlled Generation of Microspheres Incorporating Extracellular Matrix Fibrils for Three-Dimensional Cell Culture. Advanced Functional Materials 2014;24(18):2648-57; DOI: 10.1002/adfm.201303891(6) Tezera LB, Bielecka MK, Ogongo P, et al. Anti-PD-1 immunotherapy leads to tuberculosis reactivation via dysregulation of TNF-α. eLife 2020;9:e52668; DOI: 10.7554/eLife.52668(7) Katsamenis OL, Olding M, Warner JA, et al. X-ray micro-computed tomography for non-destructive 3D X-ray histology. The American journal of pathology. 2019.05.004; DOI: 10.1016/j.ajpath.2019.05.004(8) Wollatz L, Johnston SJ, Lackie PM, et al. 3D Histopathology—a Lung Tissue Segmentation Workflow for Microfocus X-ray-Computed Tomography Scans. Journal of Digital Imaging. 2017;1-10; DOI: 10.1007/s10278-017-9966-5(9) Koo H-K, Vasilescu DM, Booth S, et al. Small airways disease in mild and moderate chronic obstructive pulmonary disease: a cross-sectional study. The Lancet, Respiratory medicine. 2018;6:591-602; DOI: 10.1016/S2213-2600(18)30196-6
Tuberculosis, correlative imaging, histology, Segmentation, Micro-CT, Image Analysis
Konstantinopoulou, Elena
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Katsamenis, Orestis L.
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Jogai, Sanjay
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Chatelet, David
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Lawson, Matthew
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Basford, Philip J
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Ho, Elaine, Ming Li
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Schneider, Philipp
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Elkington, Paul
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Konstantinopoulou, Elena
e8a122d9-8419-496a-8cad-5714292cf843
Katsamenis, Orestis L.
8553e7c3-d860-4b7a-a883-abf6c0c4b438
Jogai, Sanjay
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Chatelet, David
6371fd7a-e274-4738-9ccb-3dd4dab32928
Lawson, Matthew
18483732-1f57-4c2c-bccb-0df94f4c71ac
Basford, Philip J
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Ho, Elaine, Ming Li
7fa9df7f-4dbf-4be4-b03f-ff79012dd44b
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Elkington, Paul
60828c7c-3d32-47c9-9fcc-6c4c54c35a15

Konstantinopoulou, Elena, Katsamenis, Orestis L., Jogai, Sanjay, Chatelet, David, Lawson, Matthew, Basford, Philip J, Ho, Elaine, Ming Li, Schneider, Philipp and Elkington, Paul (2021) Investigating tuberculosis pathology in the human lung with 3D X-ray Histology; a correlative imaging approach. COMULIS conference 2021, Gothenburg, Sweden (online), Gothenburg, Sweden. 01 - 03 Sep 2021.

Record type: Conference or Workshop Item (Poster)

Abstract

Tuberculosis kills more than 1.5 million people every year. (1) Most studies on tuberculosis use either animal or in vitro cell culture models that do not recapitulate human disease. The most common method of disease investigation (used in both research and clinical workflows) is the route of traditional histology, which involves thinly sectioning the sample and chemically staining said sections to extract specific molecular/cellular information about the tissue. However, such two-dimensional systems present with limitations regarding tissue connectivity and three-dimensionality of tissue structures. Consequently, fundamental mechanisms in human tuberculosis disease are poorly understood. (2-6) In this project, we have developed a correlative imaging approach by integrating non-invasive 3D micro-CT imaging (7-9) with traditional 2D histology of formalin-fixed paraffin-embedded (FFPE) human lung biopsies from tuberculosis patients. We leverage the third dimension added to our histology imaging data by micro-CT to explore disease process in tuberculosis, interrogating the structure of tuberculous granulomas and the interconnectivity of tissue microenvironments which is lost when imaging representative 2D sections by traditional optical microscopy.Human tuberculous lung biopsies were first imaged with micro-CT. The FFPE biopsies were then thinly sectioned and each section was stained with either histological or tinctorial stains to reveal areas of tuberculous pathology, fibrosis and calcification. Sections were scanned using a slide-scanner and optical microscopy. Manual segmentation in 3D was based on annotations performed by a consultant histopathologist on the digital histology slides. Preliminary data suggests that these analyses will provide unique insight into human disease and the interrelationships of microenvironments in 3D. 
References: (1) Global tuberculosis report 2020, World Health Organization (WHO), 2020, ISBN 978-92-4-001313-1(2) O'Garra A, Redford PS, McNab FW, et al. The immune response in tuberculosis. Annual Review of Immunology. 2013;31:475-527; DOI: 10.1146/annurev-immunol-032712-095939(3) Bielecka MK, Tezera LB, Zmijan R, et al. A Bioengineered Three-Dimensional Cell Culture Platform Integrated with Microfluidics To Address Antimicrobial Resistance in Tuberculosis. MBio 2017;8(1):e02073-16; DOI: 10.1128/mBio.02073-16(4) Tezera LB, Bielecka MK, Chancellor A, et al. Dissection of the host-pathogen interaction in human tuberculosis using a bioengineered 3-dimensional model. eLife 2017;6:e21283; DOI: 10.7554/eLife.21283(5) Workman VL, Tezera LB, Elkington PT, et al. Controlled Generation of Microspheres Incorporating Extracellular Matrix Fibrils for Three-Dimensional Cell Culture. Advanced Functional Materials 2014;24(18):2648-57; DOI: 10.1002/adfm.201303891(6) Tezera LB, Bielecka MK, Ogongo P, et al. Anti-PD-1 immunotherapy leads to tuberculosis reactivation via dysregulation of TNF-α. eLife 2020;9:e52668; DOI: 10.7554/eLife.52668(7) Katsamenis OL, Olding M, Warner JA, et al. X-ray micro-computed tomography for non-destructive 3D X-ray histology. The American journal of pathology. 2019.05.004; DOI: 10.1016/j.ajpath.2019.05.004(8) Wollatz L, Johnston SJ, Lackie PM, et al. 3D Histopathology—a Lung Tissue Segmentation Workflow for Microfocus X-ray-Computed Tomography Scans. Journal of Digital Imaging. 2017;1-10; DOI: 10.1007/s10278-017-9966-5(9) Koo H-K, Vasilescu DM, Booth S, et al. Small airways disease in mild and moderate chronic obstructive pulmonary disease: a cross-sectional study. The Lancet, Respiratory medicine. 2018;6:591-602; DOI: 10.1016/S2213-2600(18)30196-6

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Published date: 1 September 2021
Venue - Dates: COMULIS conference 2021, Gothenburg, Sweden (online), Gothenburg, Sweden, 2021-09-01 - 2021-09-03
Keywords: Tuberculosis, correlative imaging, histology, Segmentation, Micro-CT, Image Analysis

Identifiers

Local EPrints ID: 452041
URI: http://eprints.soton.ac.uk/id/eprint/452041
PURE UUID: c0493a24-c165-4ab4-a0a8-8e89cd51a91c
ORCID for Elena Konstantinopoulou: ORCID iD orcid.org/0000-0003-4077-9648
ORCID for Orestis L. Katsamenis: ORCID iD orcid.org/0000-0003-4367-4147
ORCID for Philip J Basford: ORCID iD orcid.org/0000-0001-6058-8270
ORCID for Philipp Schneider: ORCID iD orcid.org/0000-0001-7499-3576
ORCID for Paul Elkington: ORCID iD orcid.org/0000-0003-0390-0613

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Date deposited: 17 Aug 2023 16:47
Last modified: 17 Mar 2024 06:54

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Contributors

Author: Elena Konstantinopoulou ORCID iD
Author: Sanjay Jogai
Author: David Chatelet
Author: Matthew Lawson
Author: Paul Elkington ORCID iD

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