Activation of the NLRP3 inflammasome by islet amyloid polypeptide provides a mechanism for enhanced IL-1ß in type 2 diabetes.

Interleukin 1ß (IL-1ß) is an important inflammatory mediator of type 2 diabetes. Here we show that oligomers of islet amyloid polypeptide (IAPP), a protein that forms amyloid deposits in the pancreas during type 2 diabetes, triggered the NLRP3 inflammasome and generated mature IL-1ß. One therapy for type 2 diabetes, glyburide, suppressed IAPP-mediated IL-1ß production in vitro. Processing of IL-1ß initiated by IAPP first required priming, a process that involved glucose metabolism and was facilitated by minimally oxidized low-density lipoprotein. Finally, mice transgenic for human IAPP had more IL-1ß in pancreatic islets, which localized together with amyloid and macrophages. Our findings identify previously unknown mechanisms in the pathogenesis of type 2 diabetes and treatment of pathology caused by IAPP.

Elevated levels of branched-chain amino acids have little effect on pancreatic islet cells, but L-arginine impairs function through activation of the endoplasmic reticulum stress response.

Recent metabolic profiling studies have identified a correlation between branched-chain amino acid levels, insulin resistance associated with prediabetes and susceptibility to type 2 diabetes. Glucose and lipids in chronic excess have been reported to induce toxic effects in pancreatic ß-cells, but the effect of elevated amino acid concentrations on primary islet cell function has not been investigated to date. The aim of this study was to investigate the effect of chronic exposure to various amino acids on islet cell function in vitro. Isolated rat islets were incubated over periods of 48 h with a range of concentrations of individual amino acids (0.1 µm to 10 mm). After 48 h, islets were assessed for glucose-dependent insulin secretion capacity, proliferation or islet cell apoptosis. We report that elevated levels of branched-chain amino acids have little effect on pancreatic islet cell function or viability; however, increased levels of the amino acid l-arginine were found to be ß-cell toxic, causing a dose-dependent decrease in insulin secretion accompanied by a decrease in islet cell proliferation and an increase in islet cell apoptosis. These effects were not due to l-arginine-dependent increases in production of nitric oxide but arose through elicitation of the islet cell endoplasmic reticulum stress response. This novel finding indicates, for the first time, that the l-arginine concentration in vitro may impact negatively on islet cell function, thus indicating further complexity in relationship to in vivo susceptibility of ß-cells to nutrient-induced dysfunction.

Hit screening with multivariate robust outlier detection.

Hit screening, which involves the identification of compounds or targets capable of modulating disease-relevant processes, is an important step in drug discovery. Some assays, such as image-based high-content screenings, produce complex multivariate readouts. To fully exploit the richness of such data, advanced analytical methods that go beyond the conventional univariate approaches should be employed. In this work, we tackle the problem of hit identification in multivariate assays. As with univariate assays, a hit from a multivariate assay can be defined as a candidate that yields an assay value sufficiently far away in distance from the mean or central value of inactives. Viewed another way, a hit is an outlier from the distribution of inactives. A method was developed for identifying multivariate hit in high-dimensional data sets based on principal components and robust Mahalanobis distance (the multivariate analogue to the Z- or T-statistic). The proposed method, termed mROUT (multivariate robust outlier detection), demonstrates superior performance over other techniques in the literature in terms of maintaining Type I error, false discovery rate and true discovery rate in simulation studies. The performance of mROUT is also illustrated on a CRISPR knockout data set from in-house phenotypic screening programme.

A multi-parametric high throughput assay for detecting beta-cell proliferation in dispersed primary islets.

Identification of novel compounds to selectively induce pancreatic beta-cell proliferation has the potential to restore functional beta-cell mass and insulin secretory demand in type 2 diabetes. The rarity of islet cell clusters (comprising of only 1% of the total pancreas mass) makes such a discovery a challenge. To address this obstacle a high throughput, 384 well, plate-based multi-parametric imaging assay was developed to capture ex vivo primary islet proliferation, allowing positive identification of compounds that can selectively enhance islet beta-cell proliferation. The use of microscopy-based, high-content imaging technology enables acquisition of additional multi-parametric information such as proliferating populations in the islet beta and non beta-cells, insulin intensity, and cell counts, improving understanding of on and off target effects in primary tissue. The protocol requires access to a high-throughput microscopy platform for automated image acquisition of treated islet cells in assay plates. High content image analysis software is required to extract multiparametric cellular features and aid identification of therapeutically relevant small molecules and perturbants. Several putative beta-cell proliferative compounds have validated in this high throughput assay format, including the pleiotropic hormone prolactin [1] and the small molecule DYRK1A inhibitor harmine [2]. It is recommended to include one, or both, as positive controls to provide a reference for image analysis, give confidence in assay performance and capture potential assay variability during experimental runs. The protocol outlined specifically focuses on the multiparametric assessment of betacell proliferation in mouse and rat ex vivo islets and provides the methodology required for the collection of high quality cellular material. The high throughput, plate based assay can additionally be adapted to evaluate and quantify other disease relevant endpoints by high content microscopy and be applied to other downstream measurements. One of the caveats of a high-throughput, 384 microplate beta-cell proliferative assay is its limitations to facilitate human beta-cell proliferation detection, especially for weak activators. Adult human beta-cell proliferation is an extremely rare biological event and assessment experimentally can be donor dependent. In addition lower human islet beta-cell subpopulations require large numbers of cells for accurate rare event measurement.

Highly scalable arrayed CRISPR mediated gene silencing in primary lung small airway epithelial cells.

Small airway epithelial cells (SAECs) play a central role in the pathogenesis of lung diseases and are now becoming a crucial cellular model for target identification and validation in drug discovery. However, primary cell lines such as SAECs are often difficult to transfect using traditional lipofection methods; therefore, gene editing using CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 is often carried out through ribonucleoprotein (RNP) electroporation. Here we have established a robust, scalable, and automated arrayed CRISPR nuclease (CRISPRn) screening workflow for SAECs which can be combined with a myriad of disease-specific endpoint assays.

CGRP, adrenomedullin and adrenomedullin 2 display endogenous GPCR agonist bias in primary human cardiovascular cells.

Agonist bias occurs when different ligands produce distinct signalling outputs when acting at the same receptor. However, its physiological relevance is not always clear. Using primary human cells and gene editing techniques, we demonstrate endogenous agonist bias with physiological consequences for the calcitonin receptor-like receptor, CLR. By switching the receptor-activity modifying protein (RAMP) associated with CLR we can "re-route" the physiological pathways activated by endogenous agonists calcitonin gene-related peptide (CGRP), adrenomedullin (AM) and adrenomedullin 2 (AM2). AM2 promotes calcium-mediated nitric oxide signalling whereas CGRP and AM show pro-proliferative effects in cardiovascular cells, thus providing a rationale for the expression of the three peptides. CLR-based agonist bias occurs naturally in human cells and has a fundamental purpose for its existence. We anticipate this will be a starting point for more studies into RAMP function in native environments and their importance in endogenous GPCR signalling.

High Seeding Density Induces Local Hypoxia and Triggers a Proinflammatory Response in Isolated Human Islets.

Hypoxia is the main threat to morphological and functional integrity of isolated pancreatic islets. Lack of oxygen seems to be of particular importance for functionality of encapsulated islets. The present study was initiated as an experimental model for the environment experienced by human islets in a confined space present during culture, shipment, and in an implanted macrodevice. Quadruplicate aliquots of isolated human islets (n = 12) were cultured for 24 h at 37°C under normoxic conditions using 24-well plates equipped with 8-µm pore size filter inserts and filled with islet aliquots adjusted to obtain a seeding density of 75, 150, 300, or 600 IEQ/cm(2). After culture viability, glucose-stimulated insulin release, DNA content as well as Bax and Bcl-2 gene expression were measured. Culture supernatants were collected to determine production of VEGF and MCP-1. Viability correlated inversely with IEQ seeding density (r = -0.71, p < 0.001), while the correlation of VEGF and MCP-1 secretion with seeding density was positive (r = 0.78, p < 0.001; r = 0.54, p < 0.001). Decreased viability corresponded with a significant increase in the Bax/Bcl-2 mRNA ratio at 300 and 600 IEQ/cm(2) and with a sigificantly reduced glucose-stimulated insulin secretion and insulin content compared to 75 or 150 IEQ/cm(2) (p < 0.01). The present study demonstrates that the seeding density is inversely correlated with islet viability and in vitro function. This is associated with a significant increase in VEGF and MCP-1 release suggesting a hypoxic and proinflammatory islet microenvironment.