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Yesildag, B.

Publications and source records attributed to Yesildag, B..

6 recordsLinked to original sources

From bats to humans: uncovering ISG15 as a new resistance factor in type 1 diabetes

Viral infections are one of the main environmental factors triggering type 1 diabetes (T1D). Pancreatic alpha cells are more resistant than beta cells to diabetogenic viruses, partially explaining their survival in T1D. Similarly, bats have enhanced viral resistance, suggesting putative convergent evolution in antiviral mechanisms. Herein, we compared global gene expression in bat fibroblasts under basal conditions or exposed to double-stranded RNA to human alpha and beta cells and found that alpha cells exhibit greater similarity than beta cells to the antiviral responses of bat cells, as well as stronger intrinsic resistance to viral infection. Interferon-stimulated gene 15 (ISG15), a key regulator of antiviral responses in humans and bats, has higher expression in alpha compared to beta cells in five single-cell RNASeq datasets from human islet cells and in human induced pluripotent stem cell (hiPSC)-derived alpha-like cells. ISG15 knockdown in human insulin-producing EndoC-{beta}H1 cells and human islets increases apoptosis under basal conditions and after IFN exposure, exacerbates IFN responses and increases cell death and viral production after infection with the diabetogenic virus coxsackievirus B1, while its overexpression protects EndoC-{beta}H1 cells from the virus. Collectively, the present results demonstrate that alpha cells but not beta cells have similarities with the virus resistance gene program present in bats and identify ISG15 as an important factor for islet cells to cope with viral and diabetogenic stresses.

immunology↗

An Integrated Analysis of GLP-1R Agonist Mechanisms: Addressing Study Variations in Heterogeneous Cell Systems

Experimental cell systems support the development of pharmacological therapies such as glucagon-like peptide-1 receptor agonists (GLP-1RAs). However, their utility in drug discovery is limited due to study variability, which complicates formation of unified conclusions based on all available data. To address this, we conducted a comprehensive analysis of the GLP-1RA exenatide, incorporating 16 new and five pre-existing mono- or co-culture studies of human liver and pancreatic models. We employed a new pragmatic model-based approach designed to handle the common situation of heterogeneous in vitro datasets with few replicates per condition. All studies are jointly explained (disagreement<{chi}{superscript 2}-limit; 542<732), thereby providing a unified conclusion based on all studies. This work links in vitro biology to clinically relevant mechanisms, such as exenatides effect on glucose-insulin interplay, and predicts previously undescribed inter-study variabilities. Independent validation confirms predictive performance (64<83). Our new integrative approach enhances the utility of experimental cell systems in preclinical drug discovery.

systems biology↗

M4 drug discovery: human drug predictions from integrated pre-clinical insights exemplified with a GLP1-R agonist

A major recent breakthrough in the treatment of type 2 diabetes has been the development of glucagon-like peptide-1 receptor agonists (GLP-1RAs). However, current translational frameworks struggle to predict the clinical outcomes of these drugs from preclinical data. There are several reasons for this struggle, which are generic for many drugs: GLP-1RAs act through multi-timescale mechanisms in which short-term effects propagate into long-term changes; no single preclinical system can capture all their effects in humans; and mechanistic extrapolation requires modelling numerous whole-body biological processes. To address this gap, we present a new extrapolation approach, M4 drug discovery, and retrospectively apply it to the GLP-1RA exenatide in a manner that is generalisable to other drugs. The method integrates: Multi-level data (cellular to whole-body), Multi-timescale data (minutes to months), Multi-species data (e.g., rodents to humans), and Mechanistic knowledge. In this study, we integrate human cell and animal data with drug-free human studies to successfully predict human pharmacokinetics (cost < {chi}2, p=0.05; 64 < 97) and the outcomes of a 30-week clinical trial (36 < 45). We found that integrating information across the four M4 axes improved predictive performance and physiological relevance: multi-species data inform pharmacokinetics, human cell data provide human population- and donor-specific potency estimates, animal data reveal additional drug effects not observable in cell cultures, and the multi-timescale mathematical modelling enables short-term effects of exenatide and meals to inform long-term changes in insulin sensitivity. This work provides new tools for drug extrapolations, supporting the community towards safer and more informed preclinical-to-clinical drug extrapolations.

systems biology↗

Differential immune- and apoptosis-related gene signatures in pancreatic alpha and beta cells contribute to their fate in type 1 diabetes

Both alpha and beta cells are dysfunctional in type 1 diabetes (T1D), but beta cells die while alpha cells survive the immune attack. Understanding the mechanisms underlying alpha-cell resistance could identify new approaches to protect beta cells. Herein, we analysed single-cell datasets from human alpha and beta cells under basal/unstimulated conditions and under immune-mediated stress. Alpha cells exhibit enhanced immune-like gene expression compared to beta cells. We also found that the tumour suppressor Maternally Expressed Gene 3 (MEG3), a T1D risk gene, is highly expressed in beta cells while almost undetectable in alpha cells. These observations were confirmed by analysing bulk RNA-sequencing data from fluorescence-activated cell-sorted alpha and beta cells isolated from primary human islets from non-diabetic donors. Additionally, MEG3 knockdown in human insulin-producing EndoC-{beta}H1 cells and human islets microtissues decreased cytokine-induced damage and apoptosis, preserving beta-cell function under inflammatory conditions. The fact that alpha cells exhibit increased immune-like and anti-apoptotic activity as compared to beta cells suggests that they are better equipped to endure the autoimmune assault in T1D. In addition, the marked difference in the expression of the pro-apoptotic factor MEG3 in beta cells compared to alpha cells may explain, at least in part, why beta cells are more susceptible to damage and cell death in a diabetogenic environment than neighbour alpha cells within the same islet.

cell biology↗

Proinflammatory cytokine-induced alpha-cell impairment in human islet microtissues is partially restored by dual incretin receptor agonism

Aims/hypothesisIn type 1 diabetes, the counterregulatory glucagon response to low plasma glucose is impaired. The resulting increased risk of hypoglycaemia necessitates novel strategies to ameliorate alpha-cell impairment. Here, we aimed to establish an in vitro model of alpha-cell impairment in type 1 diabetes using human islet microtissues (MTs) exposed to proinflammatory cytokines. Additionally, we investigated the therapeutic potential of incretin receptor agonists in improving alpha-cell responses to low glucose. MethodsHuman islet MTs were exposed to proinflammatory cytokines (IL-1{beta}, IFN-{gamma}, and TNF-) for 1 day (short-term) and 6 days (long-term). Alpha-cell function was assessed by sequential glucose-dependent secretion assays at 2.8 and 16.7 mmol/l glucose, followed by glucagon measurements. Additional evaluations included ATP content, caspase-3/7 activity, chemokine secretion, and expression of islet transcription factors and hormones. The effects of incretin receptor agonist treatment (glucose-dependent insulinotropic polypeptide (GIP) analogue [D-Ala2]-GIP {+/-} liraglutide) alongside or after cytokine exposure were also investigated, focusing on low glucose-dependent glucagon secretion. ResultsShort-term cytokine exposure increased glucagon secretion at both 2.8 and 16.7 mmol/l glucose. In contrast, long-term cytokine exposure caused dose-dependent suppression of glucagon secretion at 2.8 mmol/l glucose, resembling a type 1 diabetes phenotype. Long-term cytokine exposure also diminished somatostatin secretion, reduced ATP content, increased caspase 3/7 activity, and decreased islet transcription factor and hormone expression. Despite cytokine-induced impairment, alpha cells partially retained secretory capacity to L-arginine stimulation. Treatment with incretin receptor agonists during long-term cytokine exposure did not prevent alpha-cell impairment. However, acute treatment with [D-Ala2]-GIP {+/-} liraglutide or the single-molecule dual agonist tirzepatide partially restored glucagon secretion at low glucose. Conclusions/interpretationLong-term cytokine exposure of human islet MTs impaired glucagon secretion to low glucose, creating a type 1 diabetes alpha-cell phenotype. This cytokine-induced alpha-cell impairment was partially restored by [D-Ala2]-GIP {+/-} liraglutide and tirzepatide, respectively. Research in contextO_ST_ABSWhat is already known about this subject?C_ST_ABSO_LIThe counterregulatory alpha-cell response to low glucose is impaired in type 1 diabetes, increasing the risk of hypoglycaemia. C_LIO_LILimited translatability of rodent islet findings highlights the need for human islet models. C_LIO_LIActions of the incretin hormones glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide 1 (GLP-1) have mainly been studied in the context of type 2 diabetes and hyperglycaemia but less in type 1 diabetes and hypoglycaemia. C_LI What is the key question?O_LICan alpha-cell impairment in type 1 diabetes be modelled in vitro by exposing human islet microtissues (MTs) to proinflammatory cytokines, and could incretins protect against this? C_LI What are the new findings?O_LILong-term (6-day) exposure to proinflammatory cytokines produces a type 1 diabetes phenotype of alpha-cell impairment to low glucose in islet MTs C_LIO_LIAcute dual treatment with incretin receptor agonists partially restored glucose-dependent glucagon secretion in cytokine-exposed islet MTs -- an effect mainly carried by GIP receptor agonism and not opposed by GLP-1 receptor agonism. C_LI How might this impact on clinical practice in the foreseeable future?O_LIInvestigating incretin receptor agonists in a preclinical in vitro model of alpha-cell impairment may reveal their potential and fast-track their use as safeguards against hypoglycaemia in type 1 diabetes. C_LI

cell biology↗

Interferons are the key cytokines acting on pancreatic islets in type 1 diabetes

The pro-inflammatory cytokines IFN, IFN{gamma}, IL-1{beta} and TNF may contribute to innate and adaptive immune responses during islet inflammation (insulitis) in type 1 diabetes (T1D). We used deep RNA-sequencing analysis to characterize the response of human pancreatic beta cells to each cytokine individually and compared the signatures obtained with those present in islets of individuals affected by T1D. IFN and IFN{gamma} had a much greater impact on the beta cell transcriptome when compared to IL-1{beta} and TNF. The IFN-induced gene signatures have a strong correlation with those observed in beta cells from T1D patients, and the level of expression of specific IFN-stimulated genes is positively correlated with proteins present in islets of these individuals, regulating beta cell responses to "danger signals" such as viral infections. These data suggest that IFN and IFN{gamma} are the central cytokines at the islet level in T1D, contributing to the triggering and amplification of autoimmunity.

immunology↗