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Han B, Francipane MG, Cheikhi A, Johnson J, Chen F, Chen R, Lagasse E. Fat-associated lymphoid clusters as expandable niches for ectopic liver development. Hepatology 2022; 76:357-371. [PMID: 34890068 PMCID: PMC9546108 DOI: 10.1002/hep.32277] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 11/01/2021] [Accepted: 12/04/2021] [Indexed: 12/08/2022]
Abstract
BACKGROUND AND AIMS Hepatocyte transplantation holds great promise as an alternative approach to whole-organ transplantation. Intraportal and intrasplenic cell infusions are primary hepatocyte transplantation delivery routes for this procedure. However, patients with severe liver diseases often have disrupted liver and spleen architectures, which introduce risks in the engraftment process. We previously demonstrated i.p. injection of hepatocytes as an alternative route of delivery that could benefit this subpopulation of patients, particularly if less invasive and low-risk procedures are required; and we have established that lymph nodes may serve as extrahepatic sites for hepatocyte engraftment. However, whether other niches in the abdominal cavity support the survival and proliferation of the transplanted hepatocytes remains unclear. APPROACH AND RESULTS Here, we showed that hepatocytes transplanted by i.p. injection engraft and generate ectopic liver tissues in fat-associated lymphoid clusters (FALCs), which are adipose tissue-embedded, tertiary lymphoid structures localized throughout the peritoneal cavity. The FALC-engrafted hepatocytes formed functional ectopic livers that rescued tyrosinemic mice from liver failure. Consistently, analyses of ectopic and native liver transcriptomes revealed a selective ectopic compensatory gene expression of hepatic function-controlling genes in ectopic livers, implying a regulated functional integration between the two livers. The lack of FALCs in the abdominal cavity of immunodeficient tyrosinemic mice hindered ectopic liver development, whereas the restoration of FALC formation through bone marrow transplantation restored ectopic liver development in these mice. Accordingly, induced abdominal inflammation increased FALC numbers, which improved hepatocyte engraftment and accelerated the recovery of tyrosinemic mice from liver failure. CONCLUSIONS Abdominal FALCs are essential extrahepatic sites for hepatocyte engraftment after i.p. transplantation and, as such, represent an easy-to-access and expandable niche for ectopic liver regeneration when adequate growth stimulus is present.
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Affiliation(s)
- Bing Han
- McGowan Institute for Regenerative Medicine and Department of PathologyUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Maria Giovanna Francipane
- McGowan Institute for Regenerative Medicine and Department of PathologyUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA,Ri.MED FoundationPalermoItaly
| | - Amin Cheikhi
- McGowan Institute for Regenerative Medicine and Department of PathologyUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Joycelyn Johnson
- McGowan Institute for Regenerative Medicine and Department of PathologyUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Fei Chen
- McGowan Institute for Regenerative Medicine and Department of PathologyUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA,Department of Histology and EmbryologySchool of Basic SciencesGuangzhou Medical UniversityGuangzhouChina
| | - Ruoyu Chen
- Computer SchoolBeijing Information Science and Technology UniversityBeijingChina
| | - Eric Lagasse
- McGowan Institute for Regenerative Medicine and Department of PathologyUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
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Adamo A, Bruno A, Menallo G, Francipane MG, Fazzari M, Pirrone R, Ardizzone E, Wagner WR, D'Amore A. Blood Vessel Detection Algorithm for Tissue Engineering and Quantitative Histology. Ann Biomed Eng 2022; 50:387-400. [PMID: 35171393 PMCID: PMC8917109 DOI: 10.1007/s10439-022-02923-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 01/17/2022] [Indexed: 11/29/2022]
Abstract
Immunohistochemistry for vascular network analysis plays a fundamental role in basic science, translational research and clinical practice. However, identifying vascularization in histological tissue images is time consuming and markedly depends on the operator’s experience. In this study, we present “blood vessel detection—BVD”, an automatic algorithm for quantitative analysis of blood vessels in immunohistochemical images. BVD is based on extraction and analysis of low-level image features and spatial filtering techniques, which do not require a training phase. BVD algorithm performance was comparatively evaluated on histological sections from three different in vivo experiments. Collectively, 173 independent images were analyzed, and the algorithm's results were compared to those obtained by human operators. The developed BVD algorithm proved to be a robust and versatile tool, being able to quantify number, area, and spatial distribution of blood vessels within all three considered histologic datasets. BVD is provided as an open-source application working on different operating systems. BVD is supported by a user-friendly graphical interface designed to facilitate large-scale analysis.
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Affiliation(s)
- A Adamo
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90100, Palermo, Italy.,McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, 15219, USA.,Fondazione Ri.MED, 90133, Palermo, Italy
| | - A Bruno
- Department of Computing and Informatics in the Faculty of Science and Technology, Bournemouth University, Poole, BH12 5BB, UK
| | - G Menallo
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, 15219, USA.,Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, 01605, USA
| | - M G Francipane
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, 15219, USA.,Fondazione Ri.MED, 90133, Palermo, Italy.,Department of Pathology, University of Pittsburgh, Pittsburgh, PA, 15206, USA
| | - M Fazzari
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - R Pirrone
- Department of Industrial and Digital Innovation, University of Palermo, 90100, Palermo, Italy
| | - E Ardizzone
- Department of Industrial and Digital Innovation, University of Palermo, 90100, Palermo, Italy
| | - W R Wagner
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, 15219, USA.,Department of Surgery, University of Pittsburgh, Pittsburgh, PA, 15219, USA
| | - A D'Amore
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, 15219, USA. .,Fondazione Ri.MED, 90133, Palermo, Italy. .,Department of Surgery, University of Pittsburgh, Pittsburgh, PA, 15219, USA. .,Department of Surgery and Bioengineering, McGowan Institute for Regenerative Medicine, University of Pittsburgh, 450 Technology Drive, Pittsburgh, PA, 15219, USA.
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