Andreas Hörnblad

Quantification and Three-Dimensional Imaging of the Insulitis-Induced Destruction of β-Cells in Murine Type 1 Diabetes

OBJECTIVE The aim of this study was to refine the information regarding the quantitative and spatial dynamics of infiltrating lymphocytes and remaining β-cell volume during the progression of type 1 diabetes in the nonobese diabetic (NOD) mouse model of the disease. RESEARCH DESIGN AND METHODS Using an ex vivo technique, optical projection tomography (OPT), we quantified and assessed the three-dimensional spatial development and progression of insulitis and β-cell destruction in pancreata from diabetes-prone NOD and non–diabetes-prone congenic NOD.H-2b mice between 3 and 16 weeks of age. RESULTS Together with results showing the spatial dynamics of the insulitis process, we provide data of β-cell volume distributions down to the level of the individual islets and throughout the pancreas during the development and progression of type 1 diabetes. Our data provide evidence for a compensatory growth potential of the larger insulin+ islets during the later stages of the disease around the time point for development of clinical diabetes. This is in contrast to smaller islets, which appear less resistant to the autoimmune attack. We also provide new information on the spatial dynamics of the insulitis process itself, including its apparently random distribution at onset, the local variations during its further development, and the formation of structures resembling tertiary lymphoid organs at later phases of insulitis progression. CONCLUSIONS Our data provide a powerful tool for phenotypic analysis of genetic and environmental effects on type 1 diabetes etiology as well as for evaluating the potential effect of therapeutic regimes.

An improved protocol for optical projection tomography imaging reveals lobular heterogeneities in pancreatic islet and β-cell mass distribution.

Optical projection tomography (OPT) imaging is a powerful tool for three-dimensional imaging of gene and protein distribution patterns in biomedical specimens. We have previously demonstrated the possibility, by this technique, to extract information of the spatial and quantitative distribution of the islets of Langerhans in the intact mouse pancreas. In order to further increase the sensitivity of OPT imaging for this type of assessment, we have developed a protocol implementing a computational statistical approach: contrast limited adaptive histogram equalization (CLAHE). We demonstrate that this protocol significantly increases the sensitivity of OPT imaging for islet detection, helps preserve islet morphology and diminish subjectivity in thresholding for tomographic reconstruction. When applied to studies of the pancreas from healthy C57BL/6 mice, our data reveal that, at least in this strain, the pancreas harbors substantially more islets than has previously been reported. Further, we provide evidence that the gastric, duodenal and splenic lobes of the pancreas display dramatic differences in total and relative islet and β-cell mass distribution. This includes a 75% higher islet density in the gastric lobe as compared to the splenic lobe and a higher relative volume of insulin producing cells in the duodenal lobe as compared to the other lobes. Altogether, our data show that CLAHE substantially improves OPT based assessments of the islets of Langerhans and that lobular origin must be taken into careful consideration in quantitative and spatial assessments of the pancreas.

Growth-limiting role of endothelial cells in endoderm development

Endoderm development is dependent on inductive signals from different structures in close vicinity, including the notochord, lateral plate mesoderm and endothelial cells. Recently, we demonstrated that a functional vascular system is necessary for proper pancreas development, and that sphingosine-1-phosphate (S1P) exhibits the traits of a blood vessel-derived molecule involved in early pancreas morphogenesis. To examine whether S1P(1)-signaling plays a more general role in endoderm development, S1P(1)-deficient mice were analyzed. S1P(1) ablation results in compromised growth of several foregut-derived organs, including the stomach, dorsal and ventral pancreas and liver. Within the developing pancreas the reduction in organ size was due to deficient proliferation of Pdx1(+) pancreatic progenitors, whereas endocrine cell differentiation was unaffected. Ablation of endothelial cells in vitro did not mimic the S1P(1) phenotype, instead, increased organ size and hyperbranching were observed. Consistent with a negative role for endothelial cells in endoderm organ expansion, excessive vasculature was discovered in S1P(1)-deficient embryos. Altogether, our results show that endothelial cell hyperplasia negatively influences organ development in several foregut-derived organs.

Impaired spleen formation perturbs morphogenesis of the gastric lobe of the pancreas.

Despite the extensive use of the mouse as a model for studies of pancreas development and disease, the development of the gastric pancreatic lobe has been largely overlooked. In this study we use optical projection tomography to provide a detailed three-dimensional and quantitative description of pancreatic growth dynamics in the mouse. Hereby, we describe the epithelial and mesenchymal events leading to the formation of the gastric lobe of the pancreas. We show that this structure forms by perpendicular growth from the dorsal pancreatic epithelium into a distinct lateral domain of the dorsal pancreatic mesenchyme. Our data support a role for spleen organogenesis in the establishment of this mesenchymal domain and in mice displaying perturbed spleen development, including Dh +/−, Bapx1−/− and Sox11−/−, gastric lobe development is disturbed. We further show that the expression profile of markers for multipotent progenitors is delayed in the gastric lobe as compared to the splenic and duodenal pancreatic lobes. Altogether, this study provides new information regarding the developmental dynamics underlying the formation of the gastric lobe of the pancreas and recognizes lobular heterogeneities regarding the time course of pancreatic cellular differentiation. Collectively, these data are likely to constitute important elements in future interpretations of the developing and/or diseased pancreas.

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

By adapting OPT to include the capability of imaging in the near infrared (NIR) spectrum, we here illustrate the possibility to image larger bodies of pancreatic tissue, such as the rat pancreas, and to increase the number of channels (cell types) that may be studied in a single specimen. We further describe the implementation of a number of computational tools that provide: 1/ accurate positioning of a specimens (in our case the pancreas) centre of mass (COM) at the axis of rotation (AR)2; 2/ improved algorithms for post-alignment tuning which prevents geometric distortions during the tomographic reconstruction2 and 3/ a protocol for intensity equalization to increase signal to noise ratios in OPT-based BCM determinations3. In addition, we describe a sample holder that minimizes the risk for unintentional movements of the specimen during image acquisition. Together, these protocols enable assessments of BCM distribution and other features, to be performed throughout the volume of intact pancreata or other organs (e.g. in studies of islet transplantation), with a resolution down to the level of individual islets of Langerhans.

The fractal spatial distribution of pancreatic islets in three dimensions: a self-avoiding growth model

The islets of Langerhans, responsible for controlling blood glucose levels, are dispersed within the pancreas. A universal power law governing the fractal spatial distribution of islets in two-dimensional pancreatic sections has been reported. However, the fractal geometry in the actual three-dimensional pancreas volume, and the developmental process that gives rise to such a self-similar structure, has not been investigated. Here, we examined the three-dimensional spatial distribution of islets in intact mouse pancreata using optical projection tomography and found a power law with a fractal dimension of 2.1. Furthermore, based on two-dimensional pancreatic sections of human autopsies, we found that the distribution of human islets also follows a universal power law with a fractal dimension of 1.5 in adult pancreata, which agrees with the value previously reported in smaller mammalian pancreas sections. Finally, we developed a self-avoiding growth model for the development of the islet distribution and found that the fractal nature of the spatial islet distribution may be associated with the self-avoidance in the branching process of vascularization in the pancreas.

6 – The Pancreas

This chapter aims to provide a three-dimensional description of the key morphological events, through which a discrete region of the early gut epithelium, as well as its associated mesenchyme, gives rise to the adult pancreas. Facilitated by recent advances in optical imaging techniques, including light sheet fluorescence microscopy and optical projection tomography, we present image series illustrating the growth of the organ and the formation of key morphological and anatomical features. Given the close developmental relationship between the pancreas-associated mesenchyme and the spleen anlage, and thus the potential for the developing spleen to influence pancreas morphogenesis, we include a brief section which covers the early development of this organ. Finally, we describe the spatial and quantitative distribution of the pancreatic endocrine (β-cell) component in adult mice and highlight lobular heterogeneities that may affect phenotypical evaluations of the gland.

Improving signal detection in emission optical projection tomography via single source multi-exposure image fusion.

We demonstrate a technique to improve structural data obtained from Optical Projection Tomography (OPT) using Image Fusion (IF) and contrast normalization. This enables the visualization of molecular expression patterns in biological specimens with highly variable contrast values. In the approach, termed IF-OPT, different exposures are fused by assigning weighted contrasts to each. When applied to projection images from mouse organs and digital phantoms our results demonstrate the capability of IF-OPT to reveal high and low signal intensity details in challenging specimens. We further provide measurements to highlight the benefits of the new algorithm in comparison to other similar methods.

Optical imaging of islets: New possibilities by the development of infrared fluorescent proteins

The capacity to record the spatial and quantitative distribution of cellular subtypes involved in diabetogenic processes is a key element in experimental diabetes research. A non-invasive technique to accurately monitor parameters such as pancreatic β-cell mass (BCM) and its distribution would provide a stepping stone in understanding different aspects of diabetes pathogenesis. It would also assist in the development of therapeutic regimes by providing a tool for the evaluation of anti-diabetic drugs or other curative or diagnostic measures. At present, a range of imaging modalities are being explored for this purpose. Whereas nuclear imaging techniques, characterised by their high tissue penetration depth but relatively low spatial resolution, appear most promising for the study of humans and large animals, optical imaging enables a route to cost-effective, high sensitivity, high resolution imaging in rodent models for disease. In this commentary, the potential impact of infrared fluorescent proteins (IFPs), as recently reported by Shu et al in Science, for imaging of the pancreas in small animals will be discussed.

Quantification and 3-D imaging of the insulitis-induced destruction of β-cells in murine type 1 diabetes

OBJECTIVE The aim of this study was to refine the information regarding the quantitative and spatial dynamics of infiltrating lymphocytes and remaining β-cell volume during the progression of type 1 diabetes in the nonobese diabetic (NOD) mouse model of the disease. RESEARCH DESIGN AND METHODS Using an ex vivo technique, optical projection tomography (OPT), we quantified and assessed the three-dimensional spatial development and progression of insulitis and β-cell destruction in pancreata from diabetes-prone NOD and non–diabetes-prone congenic NOD.H-2b mice between 3 and 16 weeks of age. RESULTS Together with results showing the spatial dynamics of the insulitis process, we provide data of β-cell volume distributions down to the level of the individual islets and throughout the pancreas during the development and progression of type 1 diabetes. Our data provide evidence for a compensatory growth potential of the larger insulin+ islets during the later stages of the disease around the time point for development of clinical diabetes. This is in contrast to smaller islets, which appear less resistant to the autoimmune attack. We also provide new information on the spatial dynamics of the insulitis process itself, including its apparently random distribution at onset, the local variations during its further development, and the formation of structures resembling tertiary lymphoid organs at later phases of insulitis progression. CONCLUSIONS Our data provide a powerful tool for phenotypic analysis of genetic and environmental effects on type 1 diabetes etiology as well as for evaluating the potential effect of therapeutic regimes.