Aims/hypothesis Identification of a pancreatic neuro-insular network in mice suggests that a similar integration of islets and nerves may be present in the human pancreas. To characterise the neuro-insular network and the intra-pancreatic ganglia in a clinically related setting, we examined human pancreases in health and with fatty infiltration via 3-dimensional (3D) histology and compared the human pancreatic microenvironment with its counterpart in mice. Methods Human pancreatic specimens from individuals with normal BMI, high BMI (≥ 25) and type 2 diabetes were used to investigate the neuro-insular network. Transparent specimens were prepared by tissue clearing for transmitted light and deeptissue fluorescence imaging to simultaneously visualise infiltrated adipocytes, islets and neurovascular networks. Results High-definition images of human islets reveal that both the sympathetic and parasympathetic nerves enter the islet core and reside in the immediate microenvironment of islet cells. Around the islets, the neuro-insular network is visualised with 3D histology to identify the intra-pancreatic ganglia (peri-lobular and intra-parenchymal ganglia) and the islet-ganglionic association. In humans, but not in mice, pancreatic fatty infiltration (BMI dependent) features adipocytes infiltrating into the parenchyma and accumulating in the perilobular space, in which the peri-lobular ganglia also reside. We identified the formation of adipose-ganglionic complexes in the peri-lobular space and enlargement of ganglia around adipocytes. In the specimen from the individual with type 2 diabetes, an increase in the number of nerve projections from the intra-parenchymal ganglia is associated with severe fatty infiltration. Conclusions/interpretation We present new perspectives of human pancreas and islet innervation via 3D histology. Our results strongly suggest that fatty infiltration in the human pancreas creates a neurotrophic microenvironment and promotes remodelling of pancreatic innervation.
Psychological stress increases the risk of gastrointestinal (GI) tract diseases, which involve bidirectional communication of the GI and nerves systems. Acute stress leads to GI ulcers; however, the mechanism of the native cellular protection pathway, which safeguards tissue integrality and maintains GI homeostasis, remains to be investigated. In a mouse model of this study, restraint stress induced GI leakage, abnormal tight junction protein expression, and cell death of gut epithelial cells. The expression of activating transcription factor 3 (ATF3), a stress-responsive transcription factor, is upregulated in the GI tissues of stressed animals. ATF3-deficient mice displayed an exacerbated phenotype of GI injuries. These results suggested that, in response to stress, ATF3 is part of the native cellular protective pathway in the GI system, which could be a molecular target for managing psychological stress-induced GI tract diseases.
The pancreas consists of both the exocrine (acini and ducts) and endocrine (islets) compartments to participate in and regulate the body’s digestive and metabolic activities. These activities are subjected to neural modulation, but characterization of the human pancreatic afferent and efferent nerves remains difficult because of the lack of three-dimensional (3-D) image data. Here we prepare transparent human donor pancreases for 3-D histology to reveal the pancreatic microstructure, vasculature, and innervation in a global and integrated fashion. The pancreatic neural network consists of the substance P (SP)-positive sensory (afferent) nerves, the vesicular acetylcholine transporter (VAChT)-positive parasympathetic (efferent) nerves, and the tyrosine hydroxylase (TH)-positive sympathetic (efferent) nerves. The SP+ afferent nerves were found residing along the basal domain of the interlobular ducts. The VAChT+ and TH+ efferent nerves were identified at the peri-acinar and perivascular spaces, which follow the blood vessels to the islets. In the intrapancreatic ganglia, the SP+ (scattered minority, ~7%) and VAChT+ neurons co-localize, suggesting a local afferent-efferent interaction. Compared with the mouse pancreas, the human pancreas differs in 1) the lack of SP+ afferent nerves in the islet, 2) the lower ganglionic density, and 3) the obvious presence of VAChT+ and TH+ nerves around the intralobular adipocytes. The latter implicates the neural influence on the pancreatic steatosis. Overall, our 3-D image data reveal the human pancreatic afferent and efferent innervation patterns and provide the anatomical foundation for future high-definition analyses of neural remodeling in human pancreatic diseases. NEW & NOTEWORTHY Modern three-dimensional (3-D) histology with multiplex optical signals identifies the afferent and efferent innervation patterns of human pancreas, which otherwise cannot be defined with standard histology. Our 3-D image data reveal the unexpected association of sensory and parasympathetic nerves/neurons in the intrapancreatic ganglia and identify the sympathetic and parasympathetic nerve contacts with the infiltrated adipocytes. The multiplex approach offers a new way to characterize the human pancreas in remodeling (e.g., fatty infiltration and duct lesion progression).
The islets of Langerhans receive signals from the circulation and nerves to modulate hormone secretion in response to physiological cues. Although the rich islet innervation has been documented in the literature dating as far back as Paul Langerhans' discovery of islets in the pancreas, it remains a challenging task for researchers to acquire detailed islet innervation patterns in health and disease due to the dispersed nature of the islet neurovascular network. In this article, we discuss the recent development of 3-dimensional (3D) islet neurohistology, in which transparent pancreatic specimens were prepared by optical clearing to visualize the islet microstructure, vasculature and innervation with deep-tissue microscopy. Mouse islets were used as an example to illustrate how to apply this 3D imaging approach to characterize (i) the islet parasympathetic innervation, (ii) the islet sympathetic innervation and its reinnervation after transplantation under the kidney capsule and (iii) the reactive cellular response of the Schwann cell network in islet injury. While presenting and characterizing the innervation patterns, we also discuss how to apply the signals derived from transmitted light microscopy, vessel painting and immunostaining of neural markers to verify the location and source of tissue information. In summary, the systematic development of tissue labelling, clearing and imaging methods to reveal the islet neuroanatomy offers insights to help study the neural-islet regulatory mechanisms and the role of neural tissue remodelling in the development of diabetes. Keywords: 3D microscopy, graft innervation, islet graft, neurohistology, optical clearing, parasympathetic nerves, Schwann cell network, sympathetic nerves Date submitted 27 March 2014; date of final acceptance 28 May 2014 IntroductionDocumentation of the rich pancreatic islet innervation can be traced back to Paul Langerhans' thesis 'Contributions to the microscopic anatomy of the pancreas', in which he used light microscopy to reveal the different staining properties of the pancreatic tissues [1]. Numerous subsequent studies conducted using light and electron microscopy of islets of various species confirm the abundant neural tissues at the peri-islet region and their extensions into the islet core (review in Refs [2][3][4]). Besides these morphological observations, functional studies of the islet hormone secretion affected by the administration of neurotransmitters and neuropeptides have been conducted in animals and humans [2][3][4][5][6][7][8][9]. The results indicate that the neural signal pathways play an important role in the modulation of islet functions.Scattered in the pancreas, islets rely on circulatory and nervous signals to regulate islet hormone secretion in response to physiological cues. The neural pathways thus represent a natural route (or routes) to target islets for potential pharmacological intervention to influence islet functions for diabetes treatment, apart from the route from circulation. However, despite the consider...
Camera path planning for character motions is a fundamental and important research topic, benefiting many animation applications. Existing optimal-based approaches are generally computationally expensive and infeasible for interactive applications. In this paper, we propose an efficient approach that can take many constraints of finding the camera path into account and can potentially enable interactive camera control. Instead of solving a highly complicated camera optimization problem in a spatiotemporal four-dimensional space, we heuristically determine the camera path based on an efficient greedy-based tree traversal approach. The experimental results show that the proposed approach can efficiently generate a smooth, informative, and aesthetic camera path that can reveal the significant features of character motions. Moreover, the conducted user study also shows that the generated camera paths are comparable to those of a state-of-the-art approach and those made by professional animators.
Aims/hypothesis Islets are thought to be stably present in the adult human pancreas to maintain glucose homeostasis. However, identification of the pancreatic intraepithelial neoplasia (PanIN)-islet complex in mice and the presence of PanIN lesions in adult humans suggest that similar remodelling of islet structure and environment may occur in the human pancreas. To identify islet remodelling in a clinically related setting, we examine human donor pancreases with 3D histology to detect and characterise the human PanIN-islet complex. Methods Cadaveric donor pancreases (26-65 years old, n = 10) were fixed and sectioned (350 μm) for tissue labelling, clearing and microscopy to detect local islet remodelling for 3D analysis of the microenvironment. The remodelled microenvironment was subsequently examined via microtome-based histology for clinical assessment. Results In nine pancreases, we identified the unique peri-lobular islet aggregation associated with the PanIN lesion (16 lesionislet complexes detected; size: 3.18 ± 1.34 mm). Important features of the lesion-islet microenvironment include: (1) formation of intra-islet ducts, (2) acinar atrophy, (3) adipocyte association, (4) inflammation (CD45 + ), (5) stromal accumulation (α-SMA + ), ( 6) increase in Ki-67 proliferation index but absence of Ki-67 + alpha/beta cells and ( 7) in-depth and continuous duct-islet cell contacts, forming a cluster. The duct-islet cell cluster and intra-islet ducts suggest likely islet cell neogenesis but not replication. Conclusions/interpretation We identify local islet remodelling associated with PanIN-islet complex in the adult human pancreas. The tissue remodelling and the evidence of inflammation and stromal accumulation suggest that the PanIN-islet complex is derived from tissue repair after a local injury. Keywords 3D pancreatic histology . Human islet . Intra-islet duct . Islet aggregation . Islet cell neogenesis . Pancreatic intraepithelial neoplasia Abbreviations α-SMA α-Smooth muscle actin CK7 Cytokeratin 7 EUS Endoscopic ultrasound PanIN Pancreatic intraepithelial neoplasia * Shiue-Cheng Tang
Background: Pancreatic intraepithelial neoplasia (PanIN) and islet cell microadenoma are exocrine and endocrine neoplasms of human pancreas which have been linked to pancreatic ductal adenocarcinoma (PDAC) and neuroendocrine tumor, respectively. However, in health and at the surgical margin of pancreatic cancer, it remains unresolved how to simultaneously characterize duct and islet remodeling to investigate the exocrine-endocrine association in the lesion microenvironment. Here, we develop a new vibratome-based approach to detect, confirm, and analyze the two types of pancreas remodeling via stereo/3-D and classic/2-D histology. Methods: Surgical margins of PDAC (n=10, distal) and cadaveric donor pancreases (n=10, consecutive cases) were fixed, sectioned by vibratome (350 µm), and surveyed for PanIN and microadenoma via stereomicroscopy. After lesion detection, PanIN and microadenoma were analyzed with 3-D fluorescence imaging and clinical microtome-based histology for confirmation and assessment of microenvironment. Results: Multimodal imaging of PDAC surgical margins and cadaveric donor pancreases detected the peri-PanIN islet aggregation with duct-islet cell clusters. Organ-wide survey of cadaveric donor pancreases shows a marked 2.3-fold increase in the lesion size with the PanIN-islet association vs. without the association. In the survey, we unexpectedly detected the islet cell microadenoma adjacent to (<2 mm) PanIN. Overall, among the 53 early lesions in the cadaveric donor pancreases (PanINs and microadenomas), 81% are featured with the associated exocrine-endocrine tissue remodeling. Conclusion/interpretation: Multimodal 3-D/2-D tissue imaging reveals local and simultaneous duct and islet remodeling in the cancer surgical margin and cadaveric donor pancreas. In the cadaveric donor pancreas, the peri-PanIN islet aggregation and PanIN-microadenoma association are two major features of pancreas remodeling in the early lesion microenvironment.
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