Proteome analysis of interleukin-1beta--induced changes in protein expression in rat islets of Langerhans

Protective Effect of Peroxiredoxin 6 Against Toxic Effects of Glucose and Cytokines in Pancreatic RIN-m5F β-Cells

Taking into account a special role of pancreatic β-cells in the development of diabetes mellitus, the effects of peroxiredoxin 6 (Prx6) on the viability and functional activity of rat insulinoma RIN-m5F β-cells were studied under diabetes-simulating conditions. For this purpose, the cells were cultured at elevated glucose concentrations or in the presence of pro-inflammatory cytokines (TNF-α and IL-1) known for their special role in the cytotoxic autoimmune response in diabetes. It was found that the increased glucose concentration of 23-43 mM caused death of 20-60% β-cells. Prx6 added to cells significantly reduced the level of reactive oxygen species and protected the RIN-m5F β-cells from hyperglycemia, reducing the death of these cells by several fold. A measurement of insulin secretion by the RIN-m5F β-cells showed a significant stimulatory effect of Prx6 on the insulin-producing activity of pancreatic β-cells. It should be noted that the stimulatory activity of Prx6 was detected during culturing the cells under both normal and unfavorable conditions. The regulation of the NF-κB signaling cascade could be one of the mechanisms of Prx6 action on β-cells, in particular, through activation of RelA/p65 phosphorylation at Ser536.

Lysine demethylase inhibition protects pancreatic β cells from apoptosis and improves β-cell function

Transcriptional changes control β-cell survival in response to inflammatory stress. Posttranslational modifications of histone and non-histone transcriptional regulators activate or repress gene transcription, but the link to cell-fate signaling is unclear. Inhibition of lysine deacetylases (KDACs) protects β cells from cytokine-induced apoptosis and reduces type 1 diabetes incidence in animals. We hypothesized that also lysine demethylases (KDMs) regulate β-cell fate in response to inflammatory stress. Expression of the demethylase Kdm6B was upregulated by proinflammatory cytokines suggesting a possible role in inflammation-induced β-cell destruction. Inhibition of KDM6 demethylases using the selective inhibitor GSK-J4 protected insulin-producing cells and human and mouse islets from cytokine-induced apoptosis by blunting nuclear factor (NF)-κB signaling and endoplasmic reticulum (ER) stress response gene expression. GSK-J4 furthermore increased expression of insulin gene and glucose-stimulated insulin secretion. Expression of genes regulating purinergic and cytokine ligand-receptor interactions was downregulated following GSK-J4 exposure, while expression of genes involved in cell maintenance and survival was upregulated. These data suggest that KDMs are important regulators of inflammation-induced β-cell dysfunction and death.

RNA Sequencing Exposes Adaptive and Immune Responses to Intrauterine Growth Restriction in Fetal Sheep Islets

The risk of type 2 diabetes is increased in children and adults who exhibited fetal growth restriction. Placental insufficiency and intrauterine growth restriction (IUGR) are common obstetrical complications associated with fetal hypoglycemia and hypoxia that reduce the β-cell mass and insulin secretion. In the present study, we have defined the underlying mechanisms of reduced growth and proliferation, impaired metabolism, and defective insulin secretion previously established as complications in islets from IUGR fetuses. In an IUGR sheep model that recapitulates human IUGR, high-throughput RNA sequencing showed the transcriptome of islets isolated from IUGR and control sheep fetuses and identified the transcripts that underlie β-cell dysfunction. Functional analysis expanded mechanisms involved in reduced proliferation and dysregulated metabolism that include specific cell cycle regulators and growth factors and mitochondrial, antioxidant, and exocytotic genes. These data also identified immune responses, wnt signaling, adaptive stress responses, and the proteasome as mechanisms of β-cell dysfunction. The reduction of immune-related gene expression did not reflect a change in macrophage density within IUGR islets. The present study reports the islet transcriptome in fetal sheep and established processes that limit insulin secretion and β-cell growth in fetuses with IUGR, which could explain the susceptibility to premature islet failure in adulthood. Islet dysfunction formed by intrauterine growth restriction increases the risk for diabetes.

The beta-cell in type 1 diabetes: What have we learned from proteomic studies?

Pancreatic beta-cells have a crucial role in the regulation of blood glucose homeostasis by the production and secretion of insulin. In type 1 diabetes (T1D), an autoimmune reaction against the beta-cells together with the presence of inflammatory cytokines and ROS in the islets leads to beta-cell dysfunction and death. This review gives an overview of proteomic studies that lead to better understanding of beta-cell functioning in T1D. Protein profiling of isolated islets and beta-cell lines in health and T1D contributed to the unraveling of pathways involved in cytokine-induced cell death. In addition, by studying the serological proteome of T1D patients, new biomarkers and beta-cell autoantigens were discovered, which may improve screening tests and follow-up of T1D development. Interestingly, an important role for PTMs was demonstrated in the generation of beta-cell autoantigens. To conclude, proteomic techniques are of indispensable value to improve the knowledge on beta-cell function in T1D and the search toward therapeutic targets.

Pancreatic beta cells are highly susceptible to oxidative and ER stresses during the development of diabetes

The complex interplay of many cell types and the temporal heterogeneity of pancreatic islet composition obscure the direct role of resident alpha and beta cells in the development of Type 1 diabetes. Therefore, in addition to studying islets isolated from non-obese diabetic mice, we analyzed homogeneous cell populations of murine alpha (αTC-1) and beta (NIT-1) cell lines to understand the role and differential survival of these two predominant islet cell populations. A total of 56 proteins in NIT-1 cells and 50 in αTC-1 cells were differentially expressed when exposed to proinflammatory cytokines. The major difference in the protein expression between cytokine-treated NIT-1 and αTC-1 cells was free radical scavenging enzymes. A similar observation was made in cytokine-treated whole islets, where a comprehensive analysis of subcellular fractions revealed that 438 unique proteins were differentially expressed under inflammatory conditions. Our data indicate that beta cells are relatively susceptible to ER and oxidative stress and reveal key pathways that are dysregulated in beta cells during cytokine exposure. Additionally, in the islets, inflammation also leads to enhanced antigen presentation, which completes a three-way insult on beta cells, rendering them targets of infiltrating T lymphocytes.

Application of genomics and proteomics in Type 1 diabetes pathogenesis research

Type 1 diabetes is a polygenic, multifactorial autoimmune disease characterized by selective and irreversible destruction of the insulin-producing beta-cells in the pancreatic islets of Langerhans. An exogenous supply of insulin is required to sustain life after the onset of Type 1 diabetes. Despite decades of intensive research into its pathogenesis, no single gene or protein has been found to be responsible for Type 1 diabetes. This review will describe the use of large-scale genomics and proteomics in studying the pathogenesis of Type 1 diabetes, and will discuss future directions of research in the field.

Type 1 diabetes: entering the proteomic era

During the last decade, a major breakthrough in the field of proteomics has been achieved. This review describes available techniques for proteomic analyses, both gel and non-gel based, particularly concentrating on relative quantification techniques. The principle of the different techniques is discussed, highlighting the advantages and drawbacks of recently available visualization methods in gel-based assays. In addition, recent developments for quantitative analysis in non-gel-based approaches are summarized. This review focuses on applications in Type 1 diabetes. These mainly include proteomic studies on pancreatic islets in animal models and in the human situation. Also discussed are mass spectrometry-based studies on T-cells, and studies on the development of diagnostic markers for diabetic nephropathology by capillary electrophoresis coupled to mass spectrometry.

Impact of exposure to low concentrations of nitric oxide on protein profile in murine and human pancreatic islet cells

Homeostatic levels of nitric oxide (NO) protect efficiently against apoptotic death in both human and rodent pancreatic β cells, but the protein profile of this action remains to be determined. We have applied a 2 dimensional LC-MS-MALDI-TOF/TOF-based analysis to study the impact of protective NO in rat insulin-producing RINm5F cell line and in mouse and human pancreatic islets (HPI) exposed to serum deprivation condition. 24 proteins in RINm5F and 22 in HPI were identified to undergo changes in at least one experimental condition. These include stress response mitochondrial proteins (UQCRC2, VDAC1, ATP5C1, ATP5A1) in RINm5F cells and stress response endoplasmic reticulum proteins (HSPA5, PDIA6, VCP, GANAB) in HPI. In addition, metabolic and structural proteins, oxidoreductases and chaperones related with protein metabolism are also regulated by NO treatment. Network analysis of differentially expressed proteins shows their interaction in glucocorticoid receptor and NRF2-mediated oxidative stress response pathways and eNOS signaling. The results indicate that exposure to exogenous NO counteracts the impact of serum deprivation on pancreatic β cell proteome. Species differences in the proteins involved are apparent.

Glucagon-like peptide-1 protects human islets against cytokine-mediated β-cell dysfunction and death: a proteomic study of the pathways involved

Glucagon-like peptide-1 (GLP-1) has been shown to protect pancreatic β-cells against cytokine-induced dysfunction and destruction. The mechanisms through which GLP-1 exerts its effects are complex and still poorly understood. The aim of this study was to analyze the protein expression profiles of human islets of Langerhans treated with cytokines (IL-1β and IFN-γ) in the presence or absence of GLP-1 by 2D difference gel electrophoresis and subsequent protein interaction network analysis to understand the molecular pathways involved in GLP-1-mediated β-cell protection. Co-incubation of cytokine-treated human islets with GLP-1 resulted in a marked protection of β-cells against cytokine-induced apoptosis and significantly attenuated cytokine-mediated inhibition of glucose-stimulated insulin secretion. The cytoprotective effects of GLP-1 coincided with substantial alterations in the protein expression profile of cytokine-treated human islets, illustrating a counteracting effect on proteins from different functional classes such as actin cytoskeleton, chaperones, metabolic proteins, and islet regenerating proteins. In summary, GLP-1 alters in an integrated manner protein networks in cytokine-exposed human islets while protecting them against cytokine-mediated cell death and dysfunction. These data illustrate the beneficial effects of GLP-1 on human islets under immune attack, leading to a better understanding of the underlying mechanisms involved, a prerequisite for improving therapies for diabetic patients.

Streptozotocin-induced dynamic metabonomic changes in rat biofluids

Diabetes mellitus is a complex polygenic disease caused by gene-environment interactions with multiple complications, and metabonomic analysis is crucial for pathogenesis, early diagnosis, and timely interventions. Here, we comprehensively analyzed the dynamic metabolic changes in rat urine and plasma, which were induced by the well-known diabetogenic chemical streptozotocin (STZ), using (1)H NMR spectroscopy in conjunction with multivariate data analysis. The results showed that a single intraperitoneal injection of STZ with a moderate dosage (55 mg/kg) induced significant urinary metabonomic changes within 24 h. These changes showed time-dependence and heterogeneity among the treated animals with an animal recovered within 11 days. STZ-induced metabonomic alterations were related to suppression of glycolysis and TCA cycle, promotion of gluconeogenesis and oxidation of amino acids, alterations in metabolisms of basic amino acids associated with diabetic complications, and disruption of lipid metabolism and gut microbiota functions. With diffusion-edited NMR spectral data, we further observed the STZ-induced significant elevation of monounsaturated fatty acids and total unsaturated fatty acids together with reductions in PUFA-to-MUFA ratio in the blood plasma. These findings provided details of the time-dependent metabonomic changes in the progressive development of the STZ-induced diabetes mellitus and showed the possibility of detecting the biochemical changes in the early stage of type 1 diabetic genesis.

In vitro phenotypic, genomic and proteomic characterization of a cytokine-resistant murine β-TC3 cell line

Type 1 diabetes mellitus (T1DM) is caused by the selective destruction of insulin-producing β-cells. This process is mediated by cells of the immune system through release of nitric oxide, free radicals and pro-inflammatory cytokines, which induce a complex network of intracellular signalling cascades, eventually affecting the expression of genes involved in β-cell survival.

The aim of our study was to investigate possible mechanisms of resistance to cytokine-induced β-cell death. To this purpose, we created a cytokine-resistant β-cell line (β-TC3R) by chronically treating the β-TC3 murine insulinoma cell line with IL-1β + IFN-γ. β-TC3R cells exhibited higher proliferation rate and resistance to cytokine-mediated cell death in comparison to the parental line. Interestingly, they maintained expression of β-cell specific markers, such as PDX1, NKX6.1, GLUT2 and insulin. The analysis of the secretory function showed that β-TC3R cells have impaired glucose-induced c-peptide release, which however was only moderately reduced after incubation with KCl and tolbutamide. Gene expression analysis showed that β-TC3R cells were characterized by downregulation of IL-1β and IFN-γ receptors and upregulation of SOCS3, the classical negative regulator of cytokines signaling. Comparative proteomic analysis showed specific upregulation of 35 proteins, mainly involved in cell death, stress response and folding. Among them, SUMO4, a negative feedback regulator in NF-kB and JAK/STAT signaling pathways, resulted hyper-expressed. Silencing of SUMO4 was able to restore sensitivity to cytokine-induced cell death in β-TC3R cells, suggesting it may play a key role in acquired cytokine resistance by blocking JAK/STAT and NF-kB lethal signaling.

In conclusion, our study represents the first extensive proteomic characterization of a murine cytokine-resistant β-cell line, which might represent a useful tool for studying the mechanisms involved in resistance to cytokine-mediated β-cell death. This knowledge may be of potential benefit for patients with T1DM. In particular, SUMO4 could be used as a therapeutical target.

Two-dimensional gel proteome reference map of INS-1E cells

The insulin-producing INS-1E rat cell line is widely used as a model for studying β-cells. It is a well-characterized cell line, mainly used in diabetes research. We established a 2-DE reference map for INS-1E cells. Using MALDI-TOF/TOF-MS/MS, we identified 546 spots. These included various proteins with an important role in β-cell physiology and with known roles as crucial proteins for diabetes development. We believe that the availability of this reference map will enhance our knowledge of β-cell physiology.

Proteomics in nutrition: status quo and outlook for biomarkers and bioactives

Food and beverages are the only physical matter we take into our body, if we disregard the air we inhale and the drugs we may have to apply. While traditional nutrition research has aimed at providing nutrients to nourish populations and preventing specific nutrient deficiencies, it more recently explores health-related aspects of individual bioactive components as well as entire diets and this at group rather than population level. The new era of nutrition research translates empirical knowledge to evidence-based molecular science. Modern nutrition research focuses on promoting health, preventing or delaying the onset of disease, optimizing performance, and assessing risk. Personalized nutrition is a conceptual analogue to personalized medicine and means adapting food to individual needs. Nutrigenomics and nutrigenetics build the science foundation for understanding human variability in preferences, requirements, and responses to diet and may become the future tools for consumer assessment motivated by personalized nutritional counseling for health maintenance and disease prevention. The scope of this paper is to review the current and future aspects of nutritional proteomics, focusing on the two main outputs: identification of health biomarkers and analysis of food bioactives.

Screening newborns for candidate biomarkers of type 1 diabetes

Combining samples from a national neonatal screening programme with the information from a national health registry allow for unique opportunities in analysing newborn blood for protein changes that could predict eventual disease development. A nested case-control cohort (n = 54 cases, 108 controls) was analysed by proteomics as a new way of looking for biomarkers that could bolster prediction of T1D risk in newborns. Protein extraction and haemoglobin depletion were automated and samples were processed and analysed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). The data set was reduced to the highest quality peaks and analysed using conditional logistic regression. A total of 25 protein peaks were found to differ between the two groups. The automated haemoglobin depletion provides a platform for further proteomics studies of individual patient material. The method opens a door to a wealth of patient material stored as dried blood spots.

Proteomics and islet research

The complementary disciplines of genomics and proteomics offer better insights into the molecular mechanisms of diseases. While genomics hunts for defining our static genetic substrate, proteomics explores the structure and function of proteins expressed by a cell or tissue type under specified conditions. In the past decade, proteomics has been revolutionized by the application of techniques such as two-dimensional gel electrophoresis (2DGE), mass spectrometry (MS), and protein arrays. These techniques have tremendous potential for biomarker development, target validation, diagnosis, prognosis, and optimization of treatment in medical care, especially in the field of islet and diabetes research. This chapter will highlight the contributions of proteomic technologies toward the dissection of complex network of signaling molecules regulating islet function, the identification of potential biomarkers, and the understanding of mechanisms involved in the pathogenesis of diabetes.

Islet protein profiling

Islet protein profiling is defined as generation of extended protein expression data sets from islets or islet cells. Islets from rodent control and animal models of type 1 and type 2 diabetes mellitus and healthy humans and insulin- and glucagon-producing cell lines have been used. Protein profiling entails separation, differential expression determination, identification and expression analysis. Protein/peptide separation is either gel-based or by chromatography. Differential expression is based on comparison of visualized spots/proteins between gels or by sample labelling in gel-free systems. Identification of proteins is made by tryptic fragmentation of proteins, fragment mass determination and mass comparison with protein databases. Analysis of expression data sets interprets the complex protein changes into cellular mechanisms to generate hypotheses. The importance of such protein expression sets to elucidate islet cellular events is evidenced by the observation that only about 50% of the differentially expressed proteins and transcripts showed concordance when measured in parallel. Using protein profiling, different areas related to islet dysfunction in type 1 and type 2 diabetes mellitus have been addressed, including dysfunction induced by elevated levels of glucose and fatty acids and cytokines. Because islets from individuals with type 1 or type 2 diabetes mellitus have not yet been protein profiled, islets from rat (BB-DP) and mouse (NOD, ob/ob, MKR) models of the disease have been used, and mechanisms responsible for islet dysfunction delineated offering avenues of intervention.

Different islet protein expression profiles during spontaneous diabetes development vs. allograft rejection in BB-DP rats

Type 1 diabetes (T1D) is characterized by selective autoimmune destruction of the insulin producing beta-cells in the islets of Langerhans. When the beta-cells are destroyed exogenous administration of insulin is necessary for maintenance of glucose homeostasis. Allogeneic islet transplantation has been used as a means to circumvent the need for insulin administration and has in some cases been able to restore endogenous insulin production for years. However, long life immunosuppression is needed to prevent the graft from being rejected and destroyed. Changes in protein expression pattern during spontaneous diabetes development in the diabetes prone BioBreeding rat (BB-DP) have previously been described. In the present study, we have investigated if any of the changes seen in the protein expression pattern during spontaneous diabetes development are also present during allograft rejection of BB-DP rat islets. Two hundred neonatal islets were syngeneically transplanted under the kidney capsule of 30 day old BB-DP rats and removed prior to and at onset of diabetes. Allogeneically transplanted islets from BB-DP rats were removed before onset of allograft rejection and at maximal islet graft inflammation (rejection). The protein expression profiles of the transplants were visualised by two-dimensional gel (2-DG) electrophoresis, analysed and compared. In total, 2590 protein spots were visualised and of these 310 changed expression (p < 0.01) in syngeneic islet transplants in the BB-DP rats from 7 days after transplantation until onset of diabetes. In BB-DP islets transplanted to WK rats 53 protein spots (p < 0.01) showed changes in expression when comparing islet grafts removed 7 days after transplantation with islet grafts removed 12 days after transplantation where mononuclear cell infiltration is at its maximum. Only four protein spots (1%) were significantly changed in both syngeneic (autoimmune) and allogeneic islet destruction. When comparing protein expression changes in syngeneic BB-DP islet transplants from 37 days after transplantation to onset of diabetes with protein expression changes in allografts from day 7 to 12 after transplantation only three spot were found to commonly change expression in both situations. In conclusion, a large number of protein expression changes were detected in both autoimmune islet destruction and allogeneic islet rejection, only two overlaps were detected, suggesting that autoimmune islet destruction and allogeneic islet rejection may result from different target cell responses to signals induced by the cellular infiltrate. Whether this reflects activation of distinct signalling pathways in islet cells is currently unknown and need to be further investigated.

Proteomic studies in animal models of diabetes

The aim of this review is to provide an overview of proteomic studies in animal models of diabetes and to give some insight into the different methods available today in the rapidly developing field of proteomics. A summary of 31 papers published between 1997 and 2007 is presented. For instance, proteomics has been used to study the development of both type 1 and type 2 diabetes, diabetic complications in tissues like heart, kidney and retina and changes after treatment with anti-diabetic drugs like peroxisome proliferator-activated receptors agonists. Together, these studies give a good overview of a number of experimental approaches. Proteomics holds the promise of providing major contributions to the field of diabetes research. However, to achieve this, a number of issues need to be resolved. Appropriate data representation to facilitate data comparison, exchange, and verification is required, as well as improved statistical assessment of proteomic experiments. In addition, it is important to follow up the results with functional studies to be able to make biologically relevant conclusions. The potential of proteomics to dissect complex human disorders is now beginning to be realized. In the future, this will result in new important information concerning diabetes.

Evaluation of the SELDI-TOF MS technique for protein profiling of pancreatic islets exposed to glucose and oleate

The aim of the study was to evaluate the SELDI-TOF MS technique for pancreatic islet research. Mouse islets were cultured at low or high glucose levels in the absence or presence of oleate and characterized by measuring insulin secretion and oxygen tension. Subsequently, the islets were protein profiled. Up to 200 different peaks could be detected in a single experiment with the majority of peaks corresponding to proteins with masses below 30 kDa. By combining different protein arrays, the number of detected peaks could be increased further. The optimal binding of islet proteins was achieved using the anionic exchange array and phosphate buffer (pH 6) when the binding of insulin was low, which allowed other less abundant proteins to be captured. When islets from different culture conditions were profiled and analyzed, in total 25 proteins were found to be oleate/glucose-regulated. An oleate-regulated protein was chosen for identification work, which was conducted by passive elution from SDS-PAGE gels and subsequent in-gel trypsin digestion and MALDI-TOF MS. The protein was identified as peptidyl-prolyl isomerase B (PPI-B). In conclusion, the study demonstrates that SELDI-technique can be used not only to obtain islet protein patterns but is also helpful in the subsequent identification of differentially expressed proteins.

Characterization of the human pancreatic islet proteome by two-dimensional LC/MS/MS

The pancreatic beta-cell plays a central role in the maintenance of glucose homeostasis and in the pathogenesis of both type 1 and type 2 diabetes mellitus. Elucidation of the insulin secretory defects observed in diabetes first requires a better understanding of the complex mechanisms regulating insulin secretion, which are only partly understood. While there have been reports detailing proteomic analyses of islet cell lines or isolated rodent islets, the information gained is not always applicable to humans. Therefore, definition of the human islet proteome could contribute to a better understanding of islet biology and lead to more effective treatment strategies. We have applied a two-dimensional LC-MS/MS-based analysis to the characterization of the human islet proteome, resulting in the confident identification of 29,021 different tryptic peptides covering 3365 proteins (> or =2 unique peptide identifications per protein). As expected, the three major islet hormones (insulin, glucagon, and somatostatin) were detected, as well as various beta-cell enriched secretory products, ion channels, and transcription factors. In addition, significant proteome coverage of metabolic enzymes and cellular pathways was observed, including the integrin signaling cascade and the MAP kinase, NF-kappa beta, and JAK/STAT pathways. The resulting peptide reference library provides a resource for future higher throughput and quantitative studies of islet biology.

Protein profiling of pancreatic islets

The insulin-producing beta cell in the islet of Langerhans is central in glucose homeostasis. Its dysfunction is part of the pathogenesis of both Type 1 and 2 diabetes mellitus. In both forms of the disease, there is a cytotoxic component either induced by cytokines, as in Type 1 diabetes, or by elevated levels of glucose and fatty acids, as in Type 2 diabetes. To find the mechanisms responsible for the cytotoxic effects of these compounds proteomic approaches with 2D gel electrophoresis and surface-enhanced laser desorption/ionization time-of-flight mass spectrometry have been undertaken. In this article, we describe these methods, and other methodological aspects of protein profiling of pancreatic islets, and summarize the results obtained with these methods.

Effect of fungal polysaccharides on the modulation of plasma proteins in streptozotocin-induced diabetic rats

To search out novel biomarkers for monitoring diabetes prognosis, we examined the effect of hypoglycemic fungal exopolysaccharides (EPS) on the differential levels of plasma proteins in streptozotocin-induced diabetic rats. The orally administrated EPS exhibited an excellent hypoglycemic effect, lowering the average plasma glucose level, and increasing insulin secretion in diabetic rats. The 2-DE analysis of rat plasma demonstrated that about 500 visualized spots were differentially regulated, of which 20 spots were identified as principal diabetes-associated proteins. The distinct effect of diabetes induction on the pattern of rat plasma proteins includes the down-regulation of albumin, apolipoprotein E (Apo E), alpha1-inhibitor-3, fetuin beta, Gc-globulin, hemopexin, vitronectin, and transthyretin (TTR) monomer, and the up-regulation of Apo A-I, Apo A-IV, ceruloplasmin, alpha1-antitrypsin, serine protease inhibitor III, and transferrin. Those protein levels were interestingly restored to those of healthy rats by EPS treatment, although the order of magnitude of the changes differed widely. Two proteins of interest showed distinct differential expression with opposite trends: TTR tetramer was significantly down-regulated and immunoglobulin (Ig) kappa light chain was significantly up-regulated upon diabetes induction, both of which were also normalized to those of healthy groups after EPS treatment.

OMICS-driven biomarker discovery in nutrition and health

While traditional nutrition research has dealt with providing nutrients to nourish populations, it nowadays focuses on improving health of individuals through diet. Modern nutritional research is aiming at health promotion and disease prevention and on performance improvement. As a consequence of these ambitious objectives, the disciplines "nutrigenetics" and "nutrigenomics" have evolved. Nutrigenetics asks the question how individual genetic disposition, manifesting as single nucleotide polymorphisms, copy-number polymorphisms and epigenetic phenomena, affects susceptibility to diet. Nutrigenomics addresses the inverse relationship, that is how diet influences gene transcription, protein expression and metabolism. A major methodological challenge and first pre-requisite of nutrigenomics is integrating genomics (gene analysis), transcriptomics (gene expression analysis), proteomics (protein expression analysis) and metabonomics (metabolite profiling) to define a "healthy" phenotype. The long-term deliverable of nutrigenomics is personalised nutrition for maintenance of individual health and prevention of disease. Transcriptomics serves to put proteomic and metabolomic markers into a larger biological perspective and is suitable for a first "round of discovery" in regulatory networks. Metabonomics is a diagnostic tool for metabolic classification of individuals. The great asset of this platform is the quantitative, non-invasive analysis of easily accessible human body fluids like urine, blood and saliva. This feature also holds true to some extent for proteomics, with the constraint that proteomics is more complex in terms of absolute number, chemical properties and dynamic range of compounds present. Apart from addressing the most complex "-ome", proteomics represents the only platform that delivers not only markers for disposition and efficacy but also targets of intervention. The Omics disciplines applied in the context of nutrition and health have the potential to deliver biomarkers for health and comfort, reveal early indicators for disease disposition, assist in differentiating dietary responders from non-responders, and, last but not least, discover bioactive, beneficial food components. This paper reviews the state-of-the-art of the three Omics platforms, discusses their implication in nutrigenomics and elaborates on applications in nutrition and health such as digestive health, allergy, diabetes and obesity, nutritional intervention and nutrient bioavailability. Proteomic developments, applications and potential in the field of nutrition have been specifically addressed in another review issued by our group.

Proteomics for diabetes research: an update and future perspectives

Diabetes is a common disease worldwide and can cause several complications, leading to systemic derangements and end-organ damage. Despite blood sugar control and adequate therapy with currently available drugs, diabetic complications remain a serious issue in clinical practice, indicating that our knowledge of diabetes and its complications is only at the tip of the iceberg. Better understanding of its pathogenesis and pathophysiology is crucial to achieve better therapeutic outcomes and to prevent its complications. This review provides an overview of proteomics and introduces proteomic technologies commonly used for diabetes research. Recent proteomic studies for the investigation of diabetes and its complications are summarized. Finally, the future perspectives for the field of proteomics in diabetes research are discussed.

Immune-mediated β-cell destruction in vitro and in vivo—A pivotal role for galectin-3

Pro-apoptotic cytokines are toxic to the pancreatic beta-cells and have been associated with the pathogenesis of Type 1 diabetes (T1D). Proteome analysis of IL-1beta exposed isolated rat islets identified galectin-3 (gal-3) as the most up-regulated protein. Here analysis of human and rat islets and insulinoma cells confirmed IL-1beta regulated gal-3 expression of several gal-3 isoforms and a complex in vivo expression profile during diabetes development in rats. Over-expression of gal-3 protected beta-cells against IL-1beta toxicity, with a complete blockage of JNK phosphorylation, essential for IL-1-mediated apoptosis. Mutation scanning of regulatory and coding regions of the gal-3 gene (LGALS3) identified six polymorphisms. A haplotype comprising three cSNPs showed significantly increased transmission to unaffected offspring in 257 T1D families and replicated in an independent set of 170 T1D families. In summary, combined proteome-transcriptome-genome and functional analyses identify gal-3 as a candidate gene/protein in T1D susceptibility that may prove valuable in future intervention/prevention strategies.

Cytoprotection of beta cells: rational gene transfer strategies

Gene transfer to pancreatic islets may prove useful in preventing islet cell destruction and prolonging islet graft survival after transplantation in patients with type 1 diabetes mellitus (T1DM). Potentially, a host of therapeutically relevant transgenes may be incorporated into an appropriate gene delivery vehicle and used for islet modification. An increasing understanding of the molecular pathogenesis of immune-mediated beta cell death has served to highlight molecules which have become suitable candidates for promoting islet cell survival in the face of oxidative stress. This review aims to give an overview of some conventional gene transfer strategies aimed at promoting islet cell survival in the face of cytokine onslaught. These strategies target three aspects of islet cell physiology: redox status and antioxidant defence, anti-apoptotic gene expression and mediators of cytokine signal transduction pathways.

Insulinotropic and anti-inflammatory effects of rosiglitazone in experimental autoimmune diabetes

Cytokines and nitric oxide (NO) are involved in the pathogenesis of autoimmune diabetes mellitus (DM). Rosiglitazone is an insulin-sensitizing drug that is a ligand for the nuclear receptor peroxisome proliferator-activated receptor-gamma (PPAR-gamma). The anti-inflammatory and immunomodulating properties of PPAR-gamma have been documented. The aim of this study is to investigate the effectiveness of rosiglitazone in autoimmune DM and to clarify the possible mechanism(s) involved. Autoimmune DM was induced in adult male Balb/c mice by co-administration of cyclosporin A and multiple low doses of streptozotocin. Diabetic mice were treated daily with rosiglitazone (7 mg/kg, p.o.) for 21 days. Blood glucose level (BGL), serum insulin level and pancreatic levels of tumor necrosis factor-alpha (TNF-alpha), interferon-gamma (IFN-gamma) and NO were measured. Histopathological examination and immunohistochemical determination of CD4 and CD8 T lymphocytes in the pancreatic islets were performed. In addition, analysis of pancreatic protein expression was carried out. The results showed that rosiglitazone treatment resulted in a significant decrease in the BGL and the pancreatic levels of TNF-alpha, IFN-gamma and NO compared to diabetic mice. The serum insulin level was significantly increased after rosiglitazone treatment compared to diabetic mice. The destroyed pancreatic islets were regenerated and became free from both CD4 and CD8 T cells after treatment. Furthermore, many changes in pancreatic protein expression were observed. These results suggest that rosiglitazone has a beneficial effect in the treatment of autoimmune diabetes, an effect that seemed to be a secondary consequence of its anti-inflammatory and immunomodulating properties and might be reflected at the level of protein expression.

Is mortalin a candidate gene for T1DM ?

Mortalin has been found to be up-regulated by 2D-protein gel analysis in isolated rodent islets exposed to cytokines. In islets from two rat strains with different sensitivity to the toxic effects of cytokines we observed a significant difference in IL-1beta mediated mortalin expression. Constitutive over-expression of rat mortalin in NIH3T3 cells reduced cellular survival in accordance with mortalin being associated to cellular senescence. Hence we consider the gene encoding for mortalin at chromosome 5q31.1 a putative candidate gene in cytokine induced beta-cell destruction. We scanned the human mortalin gene for polymorphisms and identified three novel polymorphisms. Neither the SNPs individually nor as constructed haplotypes showed disease association tested by (E)TDT in a Danish type 1 diabetes (T1DM) population. Furthermore, we tested the D5S500 microsatelite located close to 5q31.1 without finding linkage to (T1DM). In conclusion, the functional data identifying a difference in mortalin expression in IL-1beta stimulated islets between two rat strains and over-expression of mortalin in NIH3T3 cells associated with decreased viability suggests a functional role for mortalin in cytokine mediated beta cell destruction; however, the identified polymorphisms did not reveal any association in the presence of linkage disequilibrium of mortalin to T1DM in the Danish population.

SUMO wrestling with type 1 diabetes

Post-translational modification of proteins by phosphorylation, methylation, acetylation, or ubiquitylation represent central mechanisms through which various biological processes are regulated. Reversible covalent modification (i.e., sumoylation) of proteins by the small ubiquitin-like modifier (SUMO) has also emerged as an important mechanism contributing to the dynamic regulation of protein function. Sumoylation has been linked to the pathogenesis of a variety of disorders including Alzheimer's disease (AD), Huntington's disease (HD), and type 1 diabetes (T1D). Advances in our understanding of the role of sumoylation suggested a novel regulatory mechanism for the regulation of immune responsive gene expression. In this review, we first update recent advances in the field of sumoylation, then specifically evaluate its regulatory role in several key signaling pathways for immune response and discuss its possible implication in T1D pathogenesis.

Unraveling the Pathogenesis of Type 1 Diabetes with Proteomics: Present And Future Directions

Type 1 diabetes (T1D) is the result of selective destruction of the insulin-producing beta-cells in the pancreatic islets of Langerhans. T1D is due to a complex interplay between the beta-cell, the immune system, and the environment in genetically susceptible individuals. The initiating mechanism(s) behind the development of T1D are largely unknown, and no genes or proteins are specific for most T1D cases. Different pro-apoptotic cytokines, IL-1 beta in particular, are present in the islets during beta-cell destruction and are able to modulate beta-cell function and induce beta-cell death. In beta-cells exposed to IL-1 beta, a race between destructive and protective events are initiated and in susceptible individuals the deleterious events prevail. Proteins are involved in most cellular processes, and it is thus expected that their cumulative expression profile reflects the specific activity of cells. Proteomics may be useful in describing the protein expression profile and thus the diabetic phenotype. Relatively few studies using proteomics technologies to investigate the T1D pathogenesis have been published to date despite the defined target organ, the beta-cell. Proteomics has been applied in studies of differentiating beta-cells, cytokine exposed islets, dietary manipulated islets, and in transplanted islets. Although that the studies have revealed a complex and detailed picture of the protein expression profiles many functional implications remain to be answered. In conclusion, a rather detailed picture of protein expression in beta-cell lines, islets, and transplanted islets both in vitro and in vivo have been described. The data indicate that the beta-cell is an active participant in its own destruction during diabetes development. No single protein alone seems to be responsible for the development of diabetes. Rather the cumulative pattern of changes seems to be what favors a transition from dynamic stability in the unperturbed beta-cell to dynamic instability and eventually to beta-cell destruction.

Pharmacoproteomic approach to the study of drug mode of action, toxicity, and resistance: applications in diabetes and cancer

Proteomics is a powerful technique for investigating protein expression profiles in biological systems and their modifications in response to stimuli or to particular physiological or pathophysiological conditions. It is therefore a technique of choice for the study of drug mode of action, side-effects, toxicity and resistance. It is also a valuable approach for the discovery of new drug targets. All these proteomic applications to pharmacological issues may be called pharmacoproteomics. The pharmacoproteomic approach could be particularly useful for the identification of molecular alterations implicated in type 2 diabetes and for further characterization of existing or new drugs. In oncology, proteomics is widely used for the identification of tumour-specific protein markers, and pharmacoproteomics is used for the evaluation of chemotherapy, particularly for the characterization of drug-resistance mechanisms. The large amount of data generated by pharmacoproteomic screening requires the use of bioinformatic tools to insure a pertinent interpretation. Herein, we review the applications of pharmacoproteomics to the study of type 2 diabetes and to chemoresistance in different types of cancer and the current state of this technology in these pathologies. We also suggest a number of bioinformatic solutions for proteomic data management.

Identification of Key β Cell Gene Signaling Pathways Involved in Type 1 Diabetes

In type 1 diabetes, beta cells die through a process of immune-mediated apoptosis. To better understand this process, it has been accepted practice to study beta cell or islet apoptosis in vitro in response to a range of immune stimuli, such as interferon gamma, interleukin-1, nitric oxide or free radicals. In particular, much use has been made of immortalized beta cell lines for such studies, although it is not clear to what extent the behavior of these cell lines might mimic the behavior of normal beta cells in vivo, or freshly isolated beta cells ex vivo. To address this question we compared the gene expression of freshly isolated NOD islets in the presence or absence of insulitis, with previously published data examining either islet or beta cell gene or protein expression in a range of different species and contexts. There was a high correlation between beta cell genes found be to be expressed by mouse and rat islets, by either gene expression or proteomic analysis. There was also a surprisingly high correlation between beta cell genes found be to be expressed by islets exposed to insulitis in vivo and islets stimulated with IFN-gamma and IL-1beta in vitro, suggesting that these two cytokines as produced by the islet infiltrate are important for priming beta cells in vivo. There was a much lower correlation when gene expression was compared between fresh beta cells and beta cell lines, consistent with the view that beta cell lines are very poorly representative of real beta cells. Hence, any results obtained using beta cell lines should be interpreted with great caution when extrapolating to the behavior of real beta cells.

Gene expression profiles during beta cell maturation and after IL-1beta exposure reveal important roles of Pdx-1 and Nkx6.1 for IL-1beta sensitivity

AIM/HYPOTHESIS

Maturation of the beta cells in the islets of Langerhans is dependent upon sequential activation of different transcription factors such as Pdx-1 and Nkx6.1. This maturation is associated with an acquired sensitivity to cytokines and may eventually lead to type 1 diabetes. The aims of this study were to characterise changes in mRNA expression during beta cell maturation as well as after interleukin-1beta (IL-1beta) exposure.

METHODS

Transcriptome analyses were performed on two phenotypes characterised as a glucagon-producing pre-beta-cell phenotype (NHI-glu), which matures to an IL-1beta-sensitive insulin-producing beta cell phenotype (NHI-ins). Beta cell lines over-expressing Pdx-1 or Nkx6.1, respectively, were used for functional characterisation of acquired IL-1beta sensitivity.

RESULTS

During beta cell maturation 98 fully annotated mRNAs changed expression levels. Of these, 50 were also changed after 24 h of IL-1beta exposure. In addition, 522 and 197 fully annotated mRNAs, not affected by maturation, also changed expression levels following IL-1beta exposure of the beta cell and the pre-beta-cell phenotype, respectively. Beta cell maturation was associated with an increased expression of Nkx6.1, whereas both Pdx-1 and Nkx6.1 expression were decreased following IL-1beta exposure. Over-expression of Nkx6.1 or Pdx-1 in cell lines resulted in a significantly increased sensitivity to IL-1beta.

CONCLUSIONS/INTERPRETATION

These results suggest that the final beta cell maturation accompanied by increased IL-1beta sensitivity is, in part, dependent upon the expression of genes regulated by Pdx-1 and Nkx6.1. Future classification of the genes regulated by these transcription factors and changed during beta cell maturation should elucidate their role in the acquired sensitivity to IL-1beta and may be helpful in identifying new targets for intervention/prevention strategies.

The JNK binding domain of islet-brain 1 inhibits IL-1 induced JNK activity and apoptosis but not the transcription of key proapoptotic or protective genes in insulin-secreting cell lines

The stress-activated protein kinase c-Jun NH2-terminal kinase (JNK) is a central signal for interleukin-1beta (IL-1beta)-induced apoptosis in insulin-producing beta-cells. The cell-permeable peptide inhibitor of JNK (JNKI1), that introduces the JNK binding domain (JBD) of the scaffold protein islet-brain 1 (IB1) inside cells, effectively prevents beta-cell death caused by this cytokine. To define the molecular targets of JNK involved in cytokine-induced beta-cell apoptosis we investigated whether JNKI1 or stable expression of JBD affected the expression of selected pro- and anti-apoptotic genes induced in rat (RIN-5AH-T2B) and mouse (betaTC3) insulinoma cells exposed to IL-1beta. Inhibition of JNK significantly reduced phosphorylation of the specific JNK substrate c-Jun (p<0.05), IL-1beta-induced apoptosis (p<0.001), and IL-1beta-mediated c-fos gene expression. However, neither JNKI1 nor JBD did influence IL-1beta-induced NO synthesis or iNOS expression or the transcription of the genes encoding mitochondrial manganese superoxide dismutase (MnSOD), catalase (CAT), glutathione peroxidase (GPx), glutathione-S-transferase rho (GSTrho), heat shock protein (HSP) 70, IL-1beta-converting enzyme (ICE), caspase-3, apoptosis-inducing factor (AIF), Bcl-2 or Bcl-xL. We suggest that the anti-apoptotic effect of JNK inhibition by JBD is independent of the transcription of major pro- and anti-apoptotic genes, but may be exerted at the translational or posttranslational level.

Proteomics in the chicken: tools for understanding immune responses to avian diseases

The entire chicken genome sequence will be available by the time this review is in press. Chickens will be the first production animal species to enter the "postgenomic era." This fundamental structural genomics achievement allows, for the first time, complete functional genomics approaches for understanding the molecular basis of chicken normo- and pathophysiology. The functional genomics paradigm, which contrasts with classical functional genetic investigations of one gene (or few) in isolation, is the systematic holistic genetic analyses of biological systems in defined contexts. Context-dependent gene interactions are the fundamental mechanics of all life. Functional genomics uses high-throughput large-scale experimental methods combined with statistical and computational analyses. Projects with expressed sequence tags in chickens have already allowed the creation of cDNA microarrays for large-scale context-dependant mRNA analysis (transcriptomics). However, proteins are the functional units of almost all biological processes, and protein expression very often bears no correlation to mRNA expression. Proteomics, a discipline within functional genomics, is the context-defined analysis of complete complements of proteins. Proteomics bridges the "sequence-to-phenotype gap;" it complements structural and other functional genomics approaches. Proteomics requires high capital investment but has ubiquitous biological applications. Although currently the fastest-growing human biomedical discipline, new paradigms may need to be established for production animal proteomics research. The prospective promise and potential pitfalls of using proteomics approaches to improve poultry pathogen control will be specifically highlighted. The first stage of our recently established proteomics program is global protein profiling to identify differentially expressed proteins in the context of the commercially important pathogens. Our trials and tribulations in establishing our proteomics program, as well some of our initial data to understand chicken immune system function, will be discussed.

Involvement of the cGMP signalling pathway in the regulation of viability in insulin-secreting BRIN-BD11 cells

We have evaluated the hypothesis that cGMP may serve as an intracellular messenger regulating the viability of pancreatic beta-cells. A direct activator of soluble guanylyl cyclase, YC-1, caused a time- and dose-dependent loss of viability in clonal BRIN-BD11 beta-cells. This was accompanied by a rise in cGMP and was antagonised by Rp-8-pCPT-cGMPS, a selective inhibitor of protein kinase G (PKG). Reverse transcription polymerase chain reaction analysis confirmed that BRIN-BD11 cells (and human islets) express all three known isoforms of PKG (PKG-Ialpha, -Ibeta and II). Cell death induced by YC-1 was not sensitive to cell-permeable caspase inhibitors and was not accompanied by oligonucleosomal DNA fragmentation. The response was, however, inhibited by actinomycin D, suggesting that a transcription-dependent pathway of programmed cell death is involved in the actions of cGMP.

Proteomics in pancreatic disease

Proteomics represents a novel methodological approach to investigate the expression of all proteins by a cell or organism in its entireness, similar to global strategies for DNA (genomics) and RNA (transcriptomics). This review focuses on the history of protein analysis, which made up the golden age of pancreatic physiology, the current methodology for proteomics (2D gel electrophoresis, mass spectrometry) and the few published experiences with proteomics in the field of pancreatology until now. Finally, potential applications of proteomics for the pancreas, in concert with other techniques, are cited.

Beta cell death and protection

Type 1 diabetes is an immune-mediated disease critically dependent upon the interaction between antigen-presenting cells and T cells. Clearly, both CD4+ and CD8+ T cells are required, but activated CD4+ T cells are both necessary and sufficient in causing disease. The mechanism of the Th1/Th2 immunoregulatory imbalance is unclear and needs to be further investigated. CD8+ T cells are not commonly sufficient in causing disease, but CD8 T cells are necessary in initiation (<14 weeks in the NOD mouse), but not in the later (>14 weeks) effector phase of the disease. It is still unclear whether the CD8+ T cell exerts its function as a classical effector cell or mainly as an immunomodulatory cell acting in synergy with the CD4+ T cell. The relative role of T cell effector mechanisms such as Fas/FasL, perforin/granzyme, and the TRAIL systems is unclear. Proinflammatory cytokines, reactive oxygen species, and other immune mediators seem to be involved in beta cell destruction, but much is to be learned about signaling, molecular mechanisms, and in vivo importance.

Genes and gene polymorphisms associated with periodontal disease

The scientific literature during the last ten years has seen an exponential increase in the number of reports claiming links for genetic polymorphisms with a variety of medical diseases, particularly chronic immune and inflammatory conditions. Recently, periodontal research has contributed to this growth area. This new research has coincided with an increased understanding of the genome which, in turn, has permitted the functional interrelationships of gene products with each other and with environmental agents to be understood. As a result of this knowledge explosion, it is evident that there is a genetic basis for most diseases, including periodontitis. This realization has fostered the idea that if we can understand the genetic basis of diseases, genetic tests to assess disease risk and to develop etiology-based treatments will soon be reality. Consequently, there has been great interest in identifying allelic variants of genes that can be used to assess disease risk for periodontal diseases. Reports of genetic polymorphisms associated with periodontal disease are increasing, but the limitations of such studies are not widely appreciated. While there have been dramatic successes in the identification of mutations responsible for rare genetic conditions, few genetic polymorphisms reported for complex genetic diseases have been demonstrated to be clinically valid, and fewer have been shown to have clinical utility. Although geneticists warn clinicians on the over-enthusiastic use and interpretation of their studies, there continues to be a disparity between the geneticists and the clinicians in the emphasis placed on genes and genetic polymorphism associations. This review critically reviews genetic associations claimed for periodontal disease. It reveals that, despite major advances in the awareness of genetic risk factors for periodontal disease (with the exception of periodontitis associated with certain monogenetic conditions), we are still some way from determining the genetic basis of both aggressive and chronic periodontitis. We have, however, gained considerable insight into the hereditary pattern for aggressive periodontitis. Related to our understanding that it is autosomal-dominant with reduced penetrance comes a major clinically relevant insight into the risk assessment and screening for this disease, in that we appreciate that parents, offspring, and siblings of patients affected with aggressive periodontitis have a 50% risk of this disease also. Nevertheless, we must exercise caution and proper scientific method in the pursuit of clinically valid and useful genetic diagnostic tests for chronic and aggressive periodontitis. We must plan our research using plausible biological arguments and carefully avoid the numerous bias and misinterpretation pitfalls inherent in researching genetic associations with disease.

Discovery of gene networks regulating cytokine-induced dysfunction and apoptosis in insulin-producing INS-1 cells

Locally released cytokines contribute to beta-cell dysfunction and apoptosis in type 1 diabetes. In vitro exposure of insulin-producing INS-1E cells to the cytokines interleukin (IL)-1beta + interferon (IFN)-gamma leads to a significant increase in apoptosis. To characterize the genetic networks implicated in beta-cell dysfunction and apoptosis and its dependence on nitric oxide (NO) production, we performed a time-course microarray analysis of cytokine-induced genes in insulin-producing INS-1E cells. INS-1E cells were exposed in duplicate to IL-1beta + IFN-gamma for six different time points (1, 2, 4, 8, 12, and 24 h) with or without the inducible NO synthase (iNOS) blocker N(G)-monomethyl-L-arginine (NMA). The microarray analysis identified 698 genes as cytokine modified (>or=2.5-fold change compared with control) in at least one time point. Based on their temporal pattern of variation, the cytokine-regulated genes were classified into 15 clusters by the k-means method. These genes were further classified into 14 different groups according to their putative function. Changes in the expression of genes related to metabolism, signal transduction, and transcription factors at all time points studied indicate beta-cell attempts to adapt to the effects of continuous cytokine exposure. Notably, several apoptosis-related genes were modified at early time points (2-4 h) preceding iNOS expression. On the other hand, 46% of the genes modified by cytokines after 8-24 h were NO dependent, indicating the important role of this radical for the late effects of cytokines. The present results increase by more than twofold the number of known cytokine-modified genes in insulin-producing cells and yield comprehensive information on the role of NO for these modifications in gene expression. These data provide novel and detailed insights into the gene networks activated in beta-cells facing a prolonged immune assault.

Intrauterine programming of fetal islet gene expression in rats--effects of maternal protein restriction during gestation revealed by proteome analysis

AIMS/HYPOTHESIS

Fetal undernutrition can result in intrauterine growth restriction and increased incidence of Type 2 diabetes mellitus. Intrauterine malnutrition in form of an isocaloric low-protein diet given to female rats throughout gestation decreases islet-cell proliferation, islet size and pancreatic insulin content, while increasing the apoptotic rate and sensitivity to nitrogen oxide and interleukin-1beta. Hence, the influence of a low-protein diet on the development of beta-cells and islets could also be of interest for the pathogenesis of Type 1 and Type 2 diabetes mellitus. We hypothesise that the effects of a low-protein diet in utero are caused by intrauterine programming of beta-cell gene expression.

METHODS

Pregnant Wistar rats were fed a low-protein diet (8% protein) or a control diet (20% protein) throughout gestation. At day 21.5 of gestation fetal pancreata were removed, digested and cultured for 7 days. Neoformed islets were collected and analysed by proteome analysis comprising 2-dimensional gel electrophoresis and mass spectrometry.

RESULTS

A total of 2810 different protein spots were identified, 70 of which were changed due to the low-protein diet. From 45 of the changed protein spots, identification was obtained by mass spectrometry (64% success rate). Proteins induced by the low-protein diet were grouped according to their biological functions, e.g. cell cycle and differentiation, protein synthesis and chaperoning.

CONCLUSIONS/INTERPRETATION

Our study offers a possible explanation of the alterations induced by a low-protein diet in islets. It shows that in Wistar rats the intrauterine milieu could program islet gene expression in ways unfavourable for the future of the progeny. This could be important for our understanding of the development of Type 1 and Type 2 diabetes mellitus.

GFAP and nuclear lamins share an epitope recognized by monoclonal antibody J1-31

Monoclonal antibody J1-31 was raised against plaque materials taken from brains of patients who had suffered from multiple sclerosis (MS). Preliminary characterization of the antigen revealed it to be a protein of M(w) 68-70 kDa with both a cytoplasmic and nuclear localization. Here we report the results of isolation and peptide sequencing of the antigen from human brains, and immunocytochemical analysis of the antigen in F98 glioma cells. Purification and peptide sequencing indicate that the antibody recognizes a form of glial fibrillary acidic protein, possibly a phosphorylated variant. However, confocal immunocytochemistry and western analysis of F98 glioma cells raise the possibility that it also recognizes a phosphorylated epitope found in nuclear lamins. Analysis of the expression of the J1-31 epitope in F98 cells with respect to time in culture, cell density, and DNA synthesis showed a developmental relationship: cells that were engaged in rapid growth and DNA synthesis exhibited strong J1-31 staining in nuclei, whereas quiescent cells did not. We conclude that mAB J1-31 remains a useful antibody for studying multiple sclerosis, and is likely to prove useful in studies of the dynamics of nuclear lamins, particularly in models for wound-healing.

Characterization of a nuclear-factor-kappa B (NFkappaB) genetic marker in type 1 diabetes (T1DM) families

Cytokine-induced beta-cell death is an important factor in the pathogenesis of type 1 diabetes mellitus (T1DM). The transcription factor NFkappaB plays an important role in cytokine-induced gene activation. Hence, NFKB1 is a possible candidate gene for T1DM disposition. A polymorphic (CA) dinucleotide repeat microsatellite has been identified near the NFKB1 gene. In a recent case-control study certain alleles of this NFKB1 microsatellite marker showed strong association to T1DM. The aim of our study was to investigate whether the association between the NFKB1 marker and T1DM could be confirmed in a Danish family collection. No T1DM association for any allele of the NFKB1 microsatellite marker could however be demonstrated in Danish T1DM families. In conclusion, we could not confirm the highly significant T1DM association of certain alleles of the NFKB1 marker previously reported.

Combined genome and proteome approach to identify new susceptibility genes

Type 1 diabetes mellitus (T1DM) is a multifactorial disorder characterized by a specific destruction of the insulin-producing beta cells in the islets of Langerhans. Cells from the immune system infiltrate the islet during the pathogenesis, releasing a mixture of cytokines demonstrated to be specifically toxic to the beta cells within the islets. The goal is to understand the molecular mechanisms responsible for this specific beta-cell toxicity, which will allow the design of novel intervention strategies for T1DM. The proteome approach provides a detailed picture of the beta-cell proteins changing expression pattern during cytokine-mediated beta-cell destruction. Combining the information from this proteome approach with genetic studies makes us believe that it is possible to reach this goal.

Cell surface trafficking of Fas in NIT-1 cells and dissection of surface and total Fas expression

The appearance of Fas receptor at the surface of pancreatic beta-cells affected by progressive insulitis strongly suggests that Fas-mediated beta-cell apoptosis plays an important role in the pathogenesis of type 1 diabetes. In support of this concept, the present study has shown that islet cells from NOD mice and the beta-cell line NIT-1 respond to the proinflammatory cytokines IL-1beta and IFN-gamma with Fas surface expression in a dose- and time-dependent manner. Moreover, the prevention of cytokine-induced surface Fas expression by actinomycin D, cycloheximide, and brefeldin A demonstrated that trafficking of Fas to the beta-cell surface requires RNA and protein synthesis and, in addition is critically dependent on intracellular protein transport. Compared with total cellular Fas protein, the amount of Fas at the cell surface was relatively small and indicated that Fas is preferentially expressed in cytoplasmic compartments of NIT-1 cells. It is concluded that inflammatory insults specifically induce translocation of Fas to the beta-cell surface and that interference with cell surface Fas expression is a new strategy to improve beta-cell survival in inflamed islets.