Islet amyloid polypeptide regulates multiple steps in stimulus-secretion coupling of beta cells in rat pancreatic islets

Advanced proteomics procedure as a detection tool for predictive screening in type 2 pre-Diabetes

It has been suggested that a more precise selection of predictive biomarkers may prove useful in the early diagnosis of type 2 diabetes (T2D), even when glucose tolerance is normal. This is vital since many T2D cases may be preventable by avoiding those factors that trigger the disease process (primary prevention) or by use of therapy that modulates the disease process before the onset of clinical symptoms (secondary prevention) occurs. The selection of predictive markers must be carefully assessed and depends mainly on three important parameters: sensitivity, specificity and positive predictive value. Unfortunately, biomarkers with ideal specificity and sensitivity are difficult to find. One potential solution is to use the combinatorial power of different biomarkers, each of which alone may not offer satisfactory specificity and sensitivity. Recent technological advances in proteomics and bioinformatics offer a great opportunity for the discovery of different potential predictive markers. In this review, we described a cellular T2D model as an example with the intent of providing specific enrichment and new identification strategies, which might have the potential to improve predictive biomarker identification and to bring accuracy in disease diagnosis and classification, as well as therapeutic monitoring in the early phase of T2D.

Destabilization of human IAPP amyloid fibrils by proline mutations outside of the putative amyloidogenic domain: is there a critical amyloidogenic domain in human IAPP?

Islet amyloid polypeptide (IAPP; amylin) is responsible for amyloid formation in type-2 diabetes. Not all organisms form islet amyloid, and amyloid formation correlates strongly with variations in primary sequence. Studies of human and rodent IAPP have pointed to the amino acid residues 20-29 region as the important amyloid-modulating sequence. The rat 20-29 sequence contains three proline residues and does not form amyloid, while the human sequence contains no proline and readily forms amyloid. This has led to the view that the 20-29 region constitutes a critical amyloidogenic domain that dictates the properties of the entire sequence. The different behavior of human and rat IAPP could be due to differences in the 20-29 region or due simply to the fact that multiple proline residues destabilize amyloid fibrils. We tested how critical the 20-29 region is by studying a variant identical with the human peptide in this segment but with three proline residues outside this region. We designed a variant of the amyloidogenic 8-37 region of human IAPP (hIAPP(8-37) 3xP) with proline substitutions at positions 17, 19 and 30. Compared to the wild-type, the 3xP variant was much easier to synthesize and had dramatically greater solubility. Fourier transform infra red spectroscopy, transmission electron microscopy, Congo red staining and thioflavin-T binding indicate that this variant has a reduced tendency to form beta-sheet structure and forms deposits with much less structural order than the wild-type. Far-UV CD studies show that the small amount of beta-sheet structure developed by hIAPP(8-37) 3xP after long periods of incubation dissociates readily into random-coil structure upon dilution into Tris buffer. The observation that proline substitutions outside the putative core domain effectively abolish amyloid formation indicates that models of IAPP aggregation must consider contributions from other regions.

Islet amyloid polypeptide inhibits glucagon release and exerts a dual action on insulin release from isolated islets

We have studied the influence of a wide concentration range of islet amyloid polypeptide (IAPP) on both glucagon and insulin release stimulated by various types of secretagogues. In an islet incubation medium devoid of glucose, the rate of glucagon release being high, we observed a marked suppressive action by low concentrations of IAPP, 10(-10) and 10(-8) M, on glucagon release. Similarly, glucagon release stimulated by L-arginine, the cholinergic agonist carbachol, or the phosphodiesterase inhibitor isobutylmethyl xanthine (IBMX), an activator of the cyclic AMP system, was inhibited by IAPP in the 10(-10) and 10(-8) M concentration range. Moreover, basal glucagon release at 7 and 10 mM glucose was suppressed by IAPP. In contrast, IAPP exerted a dual action on insulin release. Hence, low concentrations of IAPP brought about a modest increase of basal insulin secretion at 7 mM glucose and also of insulin release stimulated by carbachol. High concentrations of IAPP, however, inhibited insulin release stimulated by glucose (10 and 16.7 mM), IBMX, carbachol and L-arginine. In conclusion, our data suggest that IAPP has complex effects on islet hormone secretion serving as an inhibitor of glucagon release and having a dual action on insulin secretion exerting mainly a negative feedback on stimulated and a positive feedback on basal insulin release.

Massive parallel gene expression profiling of RINm5F pancreatic islet beta-cells stimulated with interleukin-1beta

Interleukin 1 (IL-1) is a pleiotropic cytokine with the potential to kill pancreatic beta-cells, and this unique property is thought to be involved in the pathogenesis of type I diabetes mellitus. We therefore determined the quantitative expression of 24,000 mRNAs of RINm5F, an insulinoma cell line derived from rat pancreatic beta-cells, before and after challenge with 30 and 1,000 pg/ml of recombinant human IL-1beta. The highest concentration resulted in decreased insulin production and cell death over a period of 4 days. Using three different time points, 2, 4 and 24 hours after challenge, we found that 146 full-length genes and a large number of expressed sequence tags were differentially regulated 3-fold or more. Most of the differentially regulated transcripts have not previously been described to be regulated by IL-1beta in beta-cells. We have analysed the expression data and sorted the genes into groups according to functional relations on the basis of knowledge of the structure or function ascribed to the individual genes. Many of the differentially regulated genes are known to play a role in immune- and stress-related pathways as well as in insulin secretion and vesicle trafficking, e.g. alpha-endosulfine and K+ channel Kir6.2 are differentially regulated. A number of transcripts in the biosynthesis pathway for cholesterol are also differentially regulated.