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Guo Q, AlKendi A, Jiang X, Mittone A, Wang L, Larsson E, Bravin A, Renström E, Fang X, Zhang E. Reduced volume of diabetic pancreatic islets in rodents detected by synchrotron X-ray phase-contrast microtomography and deep learning network. Heliyon 2023; 9:e13081. [PMID: 36718155 PMCID: PMC9883183 DOI: 10.1016/j.heliyon.2023.e13081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 01/09/2023] [Accepted: 01/16/2023] [Indexed: 01/20/2023] Open
Abstract
The pancreatic islet is a highly structured micro-organ that produces insulin in response to rising blood glucose. Here we develop a label-free and automatic imaging approach to visualize the islets in situ in diabetic rodents by the synchrotron radiation X-ray phase-contrast microtomography (SRμCT) at the ID17 station of the European Synchrotron Radiation Facility. The large-size images (3.2 mm × 15.97 mm) were acquired in the pancreas in STZ-treated mice and diabetic GK rats. Each pancreas was dissected by 3000 reconstructed images. The image datasets were further analysed by a self-developed deep learning method, AA-Net. All islets in the pancreas were segmented and visualized by the three-dimension (3D) reconstruction. After quantifying the volumes of the islets, we found that the number of larger islets (=>1500 μm3) was reduced by 2-fold (wt 1004 ± 94 vs GK 419 ± 122, P < 0.001) in chronically developed diabetic GK rat, while in STZ-treated diabetic mouse the large islets were decreased by half (189 ± 33 vs 90 ± 29, P < 0.001) compared to the untreated mice. Our study provides a label-free tool for detecting and quantifying pancreatic islets in situ. It implies the possibility of monitoring the state of pancreatic islets in vivo diabetes without labelling.
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Affiliation(s)
- Qingqing Guo
- School of Computer Science and Technology, Anhui University, Hefei, China
- Islet Pathophysiology, Department of Clinical Science, Lund University Diabetes Centre, Malmö, Sweden
| | - Abdulla AlKendi
- Islet Pathophysiology, Department of Clinical Science, Lund University Diabetes Centre, Malmö, Sweden
| | - Xiaoping Jiang
- Islet Pathophysiology, Department of Clinical Science, Lund University Diabetes Centre, Malmö, Sweden
- School of Physical Science and Technology, Southwest University, Chongqing, China
| | - Alberto Mittone
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL, United States
- Biomedical Beamline ID17, European Synchrotron Radiation Facility, Grenoble Cedex, France
| | - Linbo Wang
- School of Computer Science and Technology, Anhui University, Hefei, China
| | - Emanuel Larsson
- Division of Solid Mechanics & LUNARC, Department of Construction Sciences, Lund University, Lund, Sweden
| | - Alberto Bravin
- Biomedical Beamline ID17, European Synchrotron Radiation Facility, Grenoble Cedex, France
- Department of Physics, University Milano Bicocca, Milan, Italy
- Department of Physics, Università della Calabria, Rende, Italy
| | - Erik Renström
- Islet Pathophysiology, Department of Clinical Science, Lund University Diabetes Centre, Malmö, Sweden
| | - Xianyong Fang
- School of Computer Science and Technology, Anhui University, Hefei, China
- Corresponding author.
| | - Enming Zhang
- Islet Pathophysiology, Department of Clinical Science, Lund University Diabetes Centre, Malmö, Sweden
- NanoLund, Lund University, Box 118, 22100, Lund, Sweden
- Corresponding author. Islet Pathophysiology, Department of Clinical Science, Lund University Diabetes Centre, Malmö, Sweden.
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Zhyzhneuskaya SV, Al-Mrabeh A, Peters C, Barnes A, Aribisala B, Hollingsworth KG, McConnachie A, Sattar N, Lean MEJ, Taylor R. Time Course of Normalization of Functional β-Cell Capacity in the Diabetes Remission Clinical Trial After Weight Loss in Type 2 Diabetes. Diabetes Care 2020; 43:813-820. [PMID: 32060017 DOI: 10.2337/dc19-0371] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 12/29/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess functional β-cell capacity in type 2 diabetes during 2 years of remission induced by dietary weight loss. RESEARCH DESIGN AND METHODS A Stepped Insulin Secretion Test with Arginine was used to quantify functional β-cell capacity by hyperglycemia and arginine stimulation. Thirty-nine of 57 participants initially achieved remission (HbA1c <6.5% [<48 mmol/mol] and fasting plasma glucose <7 mmol/L on no antidiabetic drug therapy) with a 16.4 ± 7.7 kg weight loss and were followed up with supportive advice on avoidance of weight regain. At 2 years, 20 participants remained in remission in the study. A nondiabetic control (NDC) group, matched for age, sex, and weight after weight loss with the intervention group, was studied once. RESULTS During remission, median (interquartile range) maximal rate of insulin secretion increased from 581 (480-811) pmol/min/m2 at baseline to 736 (542-998) pmol/min/m2 at 5 months, 942 (565-1,240) pmol/min/m2 at 12 months (P = 0.028 from baseline), and 936 (635-1,435) pmol/min/m2 at 24 months (P = 0.023 from baseline; n = 20 of 39 of those initially in remission). This was comparable to the NDC group (1,016 [857-1,507] pmol/min/m2) by 12 (P = 0.064) and 24 (P = 0.244) months. Median first-phase insulin response increased from baseline to 5 months (42 [4-67] to 107 [59-163] pmol/min/m2; P < 0.0001) and then remained stable at 12 and 24 months (110 [59-201] and 125 [65-166] pmol/min/m2, respectively; P < 0.0001 vs. baseline) but lower than that of the NDC group (250 [226-429] pmol/min/m2; P < 0.0001). CONCLUSIONS A gradual increase in assessed functional β-cell capacity occurred after weight loss, becoming similar to that of NDC group participants by 12 months. This result was unchanged at 2 years with continuing remission of type 2 diabetes.
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Affiliation(s)
- Sviatlana V Zhyzhneuskaya
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Ahmad Al-Mrabeh
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Carl Peters
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Alison Barnes
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K
| | | | - Kieren G Hollingsworth
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Alex McConnachie
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, U.K
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, U.K
| | - Michael E J Lean
- School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, U.K
| | - Roy Taylor
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K.
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Chen C, Cohrs CM, Stertmann J, Bozsak R, Speier S. Human beta cell mass and function in diabetes: Recent advances in knowledge and technologies to understand disease pathogenesis. Mol Metab 2017; 6:943-957. [PMID: 28951820 PMCID: PMC5605733 DOI: 10.1016/j.molmet.2017.06.019] [Citation(s) in RCA: 298] [Impact Index Per Article: 42.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 05/31/2017] [Accepted: 06/07/2017] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Plasma insulin levels are predominantly the product of the morphological mass of insulin producing beta cells in the pancreatic islets of Langerhans and the functional status of each of these beta cells. Thus, deficiency in either beta cell mass or function, or both, can lead to insufficient levels of insulin, resulting in hyperglycemia and diabetes. Nonetheless, the precise contribution of beta cell mass and function to the pathogenesis of diabetes as well as the underlying mechanisms are still unclear. In the past, this was largely due to the restricted number of technologies suitable for studying the scarcely accessible human beta cells. However, in recent years, a number of new platforms have been established to expand the available techniques and to facilitate deeper insight into the role of human beta cell mass and function as cause for diabetes and as potential treatment targets. SCOPE OF REVIEW This review discusses the current knowledge about contribution of human beta cell mass and function to different stages of type 1 and type 2 diabetes pathogenesis. Furthermore, it highlights standard and newly developed technological platforms for the study of human beta cell biology, which can be used to increase our understanding of beta cell mass and function in human glucose homeostasis. MAJOR CONCLUSIONS In contrast to early disease models, recent studies suggest that in type 1 and type 2 diabetes impairment of beta cell function is an early feature of disease pathogenesis while a substantial decrease in beta cell mass occurs more closely to clinical manifestation. This suggests that, in addition to beta cell mass replacement for late stage therapies, the development of novel strategies for protection and recovery of beta cell function could be most promising for successful diabetes treatment and prevention. The use of today's developing and wide range of technologies and platforms for the study of human beta cells will allow for a more detailed investigation of the underlying mechanisms and will facilitate development of treatment approaches to specifically target human beta cell mass and function.
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Affiliation(s)
- Chunguang Chen
- Paul Langerhans Institute Dresden (PLID) of Helmholtz Zentrum München at the University Clinic Carl Gustav Carus of Technische Universität Dresden, Helmholtz Zentrum München, München-Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Christian M. Cohrs
- Paul Langerhans Institute Dresden (PLID) of Helmholtz Zentrum München at the University Clinic Carl Gustav Carus of Technische Universität Dresden, Helmholtz Zentrum München, München-Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Julia Stertmann
- Paul Langerhans Institute Dresden (PLID) of Helmholtz Zentrum München at the University Clinic Carl Gustav Carus of Technische Universität Dresden, Helmholtz Zentrum München, München-Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Robert Bozsak
- Paul Langerhans Institute Dresden (PLID) of Helmholtz Zentrum München at the University Clinic Carl Gustav Carus of Technische Universität Dresden, Helmholtz Zentrum München, München-Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Stephan Speier
- Paul Langerhans Institute Dresden (PLID) of Helmholtz Zentrum München at the University Clinic Carl Gustav Carus of Technische Universität Dresden, Helmholtz Zentrum München, München-Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
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