Heterogeneity and neurovascular integration of intraportally transplanted islets revealed by 3-D mouse liver histology

Author(s):  
Chien-Chia Chen ◽  
Shih-Jung Peng ◽  
Pei-Yu Wu ◽  
Hung-Jen Chien ◽  
Chih-Yuan Lee ◽  
...  

Background: Intraportal islet transplantation has been clinically applied for treatment of unstable type 1 diabetes. However, in the liver, systematic assessment of the dispersed islet grafts and the graft-hepatic integration remains difficult, even in animal models. This is due to the lack of global and in-depth analyses of the transplanted islets and their microenvironment. Here, we apply 3-dimensional (3-D) mouse liver histology to investigate the islet graft microstructure, vasculature, and innervation. Methods: Streptozotocin-induced diabetic mice were used in syngeneic intraportal islet transplantation to achieve euglycemia. Optically cleared livers were prepared to enable 3-D morphological and quantitative analyses of the engrafted islets. Results: 3-D image data reveal the clot- and plaque-like islet grafts in the liver: the former are derived from islet emboli and associated with ischemia, whereas the latter (minority) resemble the plaques on the walls of portal vessels (e.g., at the bifurcation) with mild, if any, peri-graft tissue damage. Three weeks after transplantation, both types of grafts are revascularized, yet significantly more lymphatics are associated with the plaque- than clot-like grafts. Regarding the islet reinnervation, both types of grafts connect to the peri-portal nerve plexus and develop peri- and intra-graft innervation. Specifically, the sympathetic axons and varicosities contact the α-cells, highlighting the graft-host neural integration. Conclusion/interpretation: We present the heterogeneity of the intraportally transplanted islets and the graft-host neurovascular integration in mice. Our work provides the technical and morphological foundation for future high-definitional 3-D tissue and cellular analyses of human islet grafts in the liver.

2017 ◽  
Author(s):  
Federica Ermetici ◽  
Silvia Briganti ◽  
Stefano Benedini ◽  
Roberto Codella ◽  
Paola Maffi ◽  
...  

Author(s):  
Sandrine Lablanche ◽  
Sophie Borot ◽  
Anne Wojtusciszyn ◽  
Kristina Skaare ◽  
Alfred Penfornis ◽  
...  

2019 ◽  
Vol 7 (6) ◽  
pp. 2308-2316 ◽  
Author(s):  
Jingyi Yang ◽  
Shan Jiang ◽  
Yong Guan ◽  
Juan Deng ◽  
Shaofeng Lou ◽  
...  

Islet transplantation is one of the most promising therapeutic options that could restore euglycaemia in type 1 diabetic individuals.


2011 ◽  
pp. P1-497-P1-497
Author(s):  
Romie F Gibly ◽  
Xiaomin Zhang ◽  
Dixon B Kaufman ◽  
William L Lowe ◽  
Lonnie D Shea

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Michael F Knoll ◽  
Carmela A Knoll ◽  
Rita Bottino ◽  
Massimo Trucco ◽  
Suzanne Bertera ◽  
...  

Clinical islet transplantation was first realized over four decades ago at the University of Minnesota. Autologous islet transplantation is now widely recognized as a treatment to prevent diabetes in patients after pancreas excision and is offered at major transplant centers throughout the United States and the world. Type 1 diabetes represents a much larger demographic in which islet transplantation may benefit patients. Allogeneic islet transplantation can now offer similar outcomes to pancreas transplantation in a subset of patients with labile type 1 diabetes with less risk than whole organ transplantation. It is recognized as a standard of care in nations around the world but not in the United States, despite the important developmental role US scientists and physicians have played. Early reports of islet transplantation focused on insulin independence that proved to diminish over time. However, regardless of insulin status, islet transplantation provides benefits ranging from improved quality of life to reduction in diabetic complications. A National Institutes of Health sponsored multi-center Phase 3 Clinical Trial (CIT-07) demonstrated safety and efficacy, although the Food and Drug Administration chose to consider islets as a biologic that requires licensure, which makes offering the procedure in the clinic very challenging. Until regulations can be brought into communion with international standards, allogeneic islet transplantation in the United States is unlikely to match international levels of success and once promising programs are left to wither on the vine. Food and Drug Administration approval would open the door for third party medical reimbursement and allow many patients the opportunity to enjoy better health and quality of life. Establishment of clinical islet transplantation for type 1 diabetes would lead to optimizations in procedures making it more efficacious and cost effective while offering support for ongoing islet xenotransplantation studies that could bring islet transplantation to even more patients.


Author(s):  
Fernandez Stephanie ◽  
Dussault Marc-Andr� ◽  
B�gin-Drolet Andr� ◽  
Ruel Jean ◽  
Leask Richard ◽  
...  

2011 ◽  
Vol 383-390 ◽  
pp. 5193-5199 ◽  
Author(s):  
Jian Ying Yuan ◽  
Xian Yong Liu ◽  
Zhi Qiang Qiu

In optical measuring system with a handheld digital camera, image points matching is very important for 3-dimensional(3D) reconstruction. The traditional matching algorithms are usually based on epipolar geometry or multi-base lines. Mistaken matching points can not be eliminated by epipolar geometry and many matching points will be lost by multi-base lines. In this paper, a robust algorithm is presented to eliminate mistaken matching feature points in the process of 3D reconstruction from multiple images. The algorithm include three steps: (1) pre-matching the feature points using constraints of epipolar geometry and image topological structure firstly; (2) eliminating the mistaken matching points by the principle of triangulation in multi-images; (3) refining camera external parameters by bundle adjustment. After the external parameters of every image refined, repeat step (1) to step (3) until all the feature points been matched. Comparative experiments with real image data have shown that mistaken matching feature points can be effectively eliminated, and nearly no matching points have been lost, which have a better performance than traditonal matching algorithms do.


2018 ◽  
Vol 4 (11) ◽  
pp. e401 ◽  
Author(s):  
Melissa H. Lee ◽  
Glenn M. Ward ◽  
Richard J. MacIsaac ◽  
Kathy Howe ◽  
D. Jane Holmes-Walker ◽  
...  

2006 ◽  
Vol 184 (5) ◽  
pp. 221-225 ◽  
Author(s):  
Philip J O’Connell ◽  
Wayne J Hawthorne ◽  
Brian J Nankivell ◽  
Anita T Patel ◽  
Stacey N Walters ◽  
...  

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