Palmitate-Induced Insulin Hypersecretion and Later Secretory Decline Associated with Changes in Protein Expression Patterns in Human Pancreatic Islets.

In obese children with high circulating concentrations of free fatty acid palmitate, we have observed that insulin levels at fasting and in response to a glucose challenge were several times higher than in obese children with low concentrations of the fatty acid as well as in lean controls. Declining and even insufficient insulin levels were observed in obese adolescents with high levels of the fatty acid. In isolated human islets exposed to palmitate we have observed insulin hypersecretion after 2 days exposure. In contrast, insulin secretion from the islets was reduced after 7 days culture in the presence of the fatty acid. This study aims at identifying islet-related biological events potentially linked with the observed insulin hypersecretion and later secretory decline in these obese children and adolescents using the islet model. We analyzed protein expression data obtained from human islets exposed to elevated palmitate levels for 2 and 7 days by an improved methodology for statistical analysis of differentially expressed proteins. Protein profiling of islet samples by liquid chromatography-tandem mass spectrometry identified 115 differentially expressed proteins (DEPs). Several DEPs including sorcin were associated with increased glucose-stimulated insulin secretion in islets after 2 days of exposure to palmitate. Similarly, several metabolic pathways including altered protein degradation, increased autophagy, altered redox condition, and hampered insulin processing were coupled to the functional impairment of islets after 7 days of culture in the presence of palmitate. Such biological events, once validated in the islets, may give rise to novel treatment strategies aiming at normalizing insulin levels in obese children with high palmitate levels, which may reduce or even prevent obesity-related type 2 diabetes mellitus.

Combined lipidomic and proteomic analysis of isolated human islets exposed to palmitate reveals time-dependent changes in insulin secretion and lipid metabolism.

Studies on the pathophysiology of type 2 diabetes mellitus (T2DM) have linked the accumulation of lipid metabolites to the development of beta-cell dysfunction and impaired insulin secretion. In most in vitro models of T2DM, rodent islets or beta-cell lines are used and typically focus is on specific cellular pathways or organs. Our aim was to, firstly, develop a combined lipidomics and proteomics approach for lipotoxicity in isolated human islets and, secondly, investigate if the approach could delineate novel and/ or confirm reported mechanisms of lipotoxicity. To this end isolated human pancreatic islets, exposed to chronically elevated palmitate concentrations for 0, 2 and 7 days, were functionally characterized and their levels of multiple targeted lipid and untargeted protein species determined. Glucose-stimulated insulin secretion from the islets increased on day 2 and decreased on day 7. At day 7 islet insulin content decreased and the proinsulin to insulin content ratio doubled. Amounts of cholesterol, stearic acid, C16 dihydroceramide and C24:1 sphingomyelin, obtained from the lipidomic screen, increased time-dependently in the palmitate-exposed islets. The proteomic screen identified matching changes in proteins involved in lipid biosynthesis indicating up-regulated cholesterol and lipid biosynthesis in the islets. Furthermore, proteins associated with immature secretory granules were decreased when palmitate exposure time was increased despite their high affinity for cholesterol. Proteins associated with mature secretory granules remained unchanged. Pathway analysis based on the protein and lipid expression profiles implicated autocrine effects of insulin in lipotoxicity. Taken together the study demonstrates that combining different omics approaches has potential in mapping of multiple simultaneous cellular events. However, it also shows that challenges exist for effectively combining lipidomics and proteomics in primary cells. Our findings provide insight into how saturated fatty acids contribute to islet cell dysfunction by affecting the granule maturation process and confirmation in human islets of some previous findings from rodent islet and cell-line studies.

Changes in Drosophila mitochondrial proteins following chaperone-mediated lifespan extension confirm a role of Hsp22 in mitochondrial UPR and reveal a mitochondrial localization for cathepsin D.

Hsp22 is a small mitochondrial heat shock protein (sHSP) preferentially up-regulated during aging in Drosophila melanogaster. Its developmental expression is strictly regulated and it is rapidly induced in conditions of stress. Hsp22 is one of the few sHSP to be localized inside mitochondria, and is the first sHSP to be involved in the mitochondrial unfolding protein response (UPR(MT)) together with Hsp60, mitochondrial Hsp70 and TRAP1. The UPR(MT) is a pro-longevity mechanism, and interestingly Hsp22 over-expression by-itself increases lifespan and resistance to stress. To unveil the effect of Hsp22 on the mitochondrial proteome, comparative IEF/SDS polyacrylamide 2D gels were done on mitochondria from Hsp22+ flies and controls. Among the proteins influenced by Hsp22 expression were proteins from the electron transport chain (ETC), the TCA cycle and mitochondrial Hsp70. Hsp22 co-migrates with ETC components and its over-expression is associated with an increase in mitochondrial protease activity. Interestingly, the only protease that showed significant changes upon Hsp22 over-expression in the comparative IEF/SDS-PAGE analysis was cathepsin D, which is localized in mitochondria in addition to lysosome in D. melanogaster as evidenced by cellular fractionation. Together the results are consistent with a role of Hsp22 in the UPR(MT) and in mitochondrial proteostasis.

Protein biomarkers for in vitro testing of toxicology.

The vision of the toxicology in the 21st century movement is to overcome the currently used animal tests and identify molecular pathways of toxicity, using human in vitro systems with the aim to provide the most relevant mechanistic information for human risk assessment. It is expected to translate key surrogate biomarkers to novel types of toxicity-related high throughput screening of the many thousands of compounds which need to be tested during development phases of the pharmaceutical industry and with regard to the REACH legislation in Europe. Systems biology, an emerging and increasingly popular field of research, appears to be the discipline of choice to integrate results from transcriptomics, proteomics, epigenomics and metabonomics technologies used to analyze samples from toxicological models. The challenges, however, with respect to data generation, statistical treatment, bioinformatic integration and interpretation or in silico modeling remain formidable. One of the main difficulties is the fact that the sheer number of molecular species is inflated enormously in the course of translation from genes to proteins due to post-translational modifications. Moreover, at the level of proteins, time scales of cellular reactions to toxic insults can be very fast, ranging from milliseconds to seconds. Linear dynamic ranges of concentration differences between conditions can also differ by several orders of magnitude. So, the search for protein biomarkers of toxicity requires sophisticated strategies for time-resolved quantitative differential approaches. The statistical principles, normalization of primary data and principal component and cluster analysis have been well developed for genomics/transcriptomics and partly for proteomics, but have not been widely adapted to technologies like metabonomics. Also, the integration of functional data, in particular data from mass spectrometry, with the aim of modeling pathways of toxicity for human risk assessment, is still at an infant stage.

Systemic administration of neuregulin-1ß1 protects dopaminergic neurons in a mouse model of Parkinson's disease.

Neuregulin-1 (Nrg1) is genetically linked to schizophrenia, a disease caused by neurodevelopmental imbalance in dopaminergic function. The Nrg1 receptor ErbB4 is abundantly expressed on midbrain dopaminergic neurons. Nrg1 has been shown to penetrate blood-brain barrier, and peripherally administered Nrg1 activates ErbB4 and leads to a persistent hyperdopaminergic state in neonatal mice. These data prompted us to study the effect of peripheral administration of Nrg1 in the context of Parkinson's disease, a neurodegenerative disorder affecting the dopaminergic system in the adult brain. We observed that systemic injections of the extracellular domain of Nrg1ß(1) (Nrg1ß(1)-ECD) increased dopamine levels in the substantia nigra and striatum of adult mice. Nrg1ß(1)-ECD injections also significantly protected the mouse nigrostriatal dopaminergic system morphologically and functionally against 6-hydroxydopamine-induced toxicity in vivo. Moreover, Nrg1ß(1)-ECD also protected human dopaminergic neurons in vitro against 6-hydroxydopamine. In conclusion, we have identified Nrg1ß(1)-ECD as a neurotrophic factor for adult mouse and human midbrain dopaminergic neurons with peripheral administratability, warranting further investigation as therapeutic option for Parkinson's disease patients.

Protein biomarkers for in vitro testing of embryotoxicity.

There are new challenges for hazard and risk assessment in the chemical industry with regard to REACH legislation in Europe and related activities in the U.S. and Japan, which require the development of novel in vitro models for the molecular characterization of drug- or chemical-related effects replacing conventional animal testing. In the frame of a European FP6 project on reproductive toxicology ( www.reprotect.eu ), we prepared protein samples from mouse embryonic stem cells differentiated into contracting cardiomyocytes according to the validated embryonic stem cell test (EST) protocol, which had been exposed to toxic substances selected by an expert committee from different in vivo categories of embryotoxicity. Lysates were used to carry out the following investigations: (i) identify optimal dose range conditions in the EST that are suitable for (ii) performing a differential quantitative proteomic study of underlying molecular pathways, (iii) define classes of substances with similar proteomic response patterns, (iv) relate these classes to the traditional in vivo categories of embryotoxicity with (v) the final goal to identify novel surrogate protein biomarker candidates for embryo toxicity. We found two distinct classes of toxic substances (Dinoseb, Ochratoxin-A, and Nitrofen vs ß-aminoproprionitril, Metoclopramide, Doxylamine succinate, and d-penicillamine) with clear pathway-related differences in their proteomic patterns. Most notably, different responses to cluster 1 and cluster 2 substances were observed for Heat shock protein ß-1, Ras-GTPase-activating protein SH3-domain binding protein, Ran binding protein 5, and Calreticulin, Dihydropyrimidinase-like 2 (Ulip2 protein). On the other hand, Heat shock protein 8 and Fscn1 protein were down-regulated by all compounds from both clusters.

Systems biology approaches and tools for analysis of interactomes and multi-target drugs.

Systems biology is essentially a proteomic and epigenetic exercise because the relatively condensed information of genomes unfolds on the level of proteins. The flexibility of cellular architectures is not only mediated by a dazzling number of proteinaceous species but moreover by the kinetics of their molecular changes: The time scales of posttranslational modifications range from milliseconds to years. The genetic framework of an organism only provides the blue print of protein embodiments which are constantly shaped by external input. Indeed, posttranslational modifications of proteins represent the scope and velocity of these inputs and fulfil the requirements of integration of external spatiotemporal signal transduction inside an organism. The optimization of biochemical networks for this type of information processing and storage results in chemically extremely fine tuned molecular entities. The huge dynamic range of concentrations, the chemical diversity and the necessity of synchronisation of complex protein expression patterns pose the major challenge of systemic analysis of biological models. One further message is that many of the key reactions in living systems are essentially based on interactions of moderate affinities and moderate selectivities. This principle is responsible for the enormous flexibility and redundancy of cellular circuitries. In complex disorders such as cancer or neurodegenerative diseases, which initially appear to be rooted in relatively subtle dysfunctions of multimodal physiologic pathways, drug discovery programs based on the concept of high affinity/high specificity compounds ("one-target, one-disease"), which has been dominating the pharmaceutical industry for a long time, increasingly turn out to be unsuccessful. Despite improvements in rational drug design and high throughput screening methods, the number of novel, single-target drugs fell much behind expectations during the past decade, and the treatment of "complex diseases" remains a most pressing medical need. Currently, a change of paradigm can be observed with regard to a new interest in agents that modulate multiple targets simultaneously, essentially "dirty drugs." Targeting cellular function as a system rather than on the level of the single target, significantly increases the size of the drugable proteome and is expected to introduce novel classes of multi-target drugs with fewer adverse effects and toxicity. Multiple target approaches have recently been used to design medications against atherosclerosis, cancer, depression, psychosis and neurodegenerative diseases. A focussed approach towards "systemic" drugs will certainly require the development of novel computational and mathematical concepts for appropriate modelling of complex data. But the key is the extraction of relevant molecular information from biological systems by implementing rigid statistical procedures to differential proteomic analytics.

Synchronization of posttranslational modifications during aging: Time is a crucial biological dimension.

There is an urgent need for surrogate biomarkers in clinical diagnostics but also preclinical in toxicology of chemicals and efficacy testing of pharmaceuticals. On the background of the emerging fields of systems biology and theranostics, the importance of time scales and the synchronization of complex biological readouts become increasingly obvious. Systemic effects such as responses to stimuli, medical intervention, cellular stress, or toxicity elicit immediate molecular changes on the protein level. Early events include phosphorylation and oxidation of proteins. These posttranslational modifications have a direct impact on enzyme activities and protein-protein interactions. Only at downstream stages is gene transcription activated. Here we outline the analytical and statistical requirements dealing with complex patterns of protein expression and the extraction of protein surrogate biomarkers defining specific early stages of biological responses. We also present successful examples from research on aging and discuss prerequisites and necessary considerations while moving candidates to validation.

Unexpected common mechanistic pathways for embryotoxicity of warfarin and lovastatin.

Novel molecular content for fast in vitro strategies in the context of safety tests concerning developmental toxicity has a potential to substantially reduce animal experiments according to the "3R" concept (Reduce/Refine/Replace). Here we present and discuss data from a differential proteomic profiling of samples generated using embryonic stem cell derived in vitro models treated with a set of model substances. Among substance-dependent proteomic changes, potential surrogate markers were some isoforms of heat shock proteins and a component of the Ras pathway, present in several redundant isoforms due to posttranslational modifications. Both proteins are implicated in cell migration, cell survival, growth and embryonic development. Using the examples of warfarin and lovastatin, two substances with entirely different primary targets, the surrogate marker signature nevertheless indicates a common embryotoxic mode of action. We discuss these findings observed in in vitro toxicity tests, in a context of clinical validation and evidence-based toxicology.

Age-dependent posttranslational modifications of voltage-dependent anion channel 1.

The accumulation of oxidative damage in mitochondrial proteins, membranes and DNA during ageing is supposed to lead to mitochondrial inactivation, downstream molecular impairments and subsequent decline of biological systems. In a quantitative study investigating the age-related changes of mitochondrial proteins on the level of oxidative posttranslational modifications, we previously found a set of conserved biomarkers across ageing models in five species with consistent oxidative break-up of tryptophan residues and formation of N-formyl kynurenine. In an additional proteomic profiling of a long-living Drosophila mutant overexpressing mitochondrial Hsp22 and controls, we found age-related redundant isoforms of voltage-dependent anion channel 1 (VDAC-1). A re-examination of data from human umbilical vein endothelial cells (with normal and chemically accelerated in vitro ageing), revealed similar age-dependent alterations of voltage-dependent anion channel isoforms. Building on these results, we examined the expression of VDAC-1 in an in vitro model of excitotoxicity. We show that glutamate-induced calcium toxicity in neurons induces changes of voltage-dependent anion channel 1 related to downstream events of mitochondrial apoptosis like poly-ADP-ribosylation.

Annexin A3 in urine: a highly specific noninvasive marker for prostate cancer early detection.

PURPOSE: In prostate cancer cases the early diagnosis of tumors carrying a high risk of progression is of the utmost importance. There is an urgent clinical need to avoid unnecessary biopsies and subsequent overtreatment. We validated annexin A3 as a diagnostic marker for prostatic disease in typical clinical populations and relevant segments, such as patients with a negative digital rectal examination and low prostate specific antigen. MATERIALS AND METHODS: We performed a blinded clinical study (ClinicalTrials.gov Identifier NCT00400894) from September 2005 to January 2007 in 591 patients who were continuously recruited from 4 European urological clinics. Urine was obtained directly after digital rectal examination and the annexin A3 concentration in urine was quantified by Western blot. Statistical analysis included combinations of annexin A3 with total, percent free, complexed and percent complexed prostate specific antigen. RESULTS: Combined readouts of prostate specific antigen and urinary annexin A3 were superior to all others with an area under the ROC curve of 0.82 for a total prostate specific antigen range of 2 to 6 ng/ml, 0.83 for a total prostate specific antigen range of 4 to 10 ng/ml and 0.81 in all patients. The best performing prostate specific antigen derivative was percent free prostate specific antigen with an area under the ROC curve of 0.68 for a total prostate specific antigen range of 2 to 6 ng/ml, 0.72 for a total prostate specific antigen range of 4 to 10 ng/ml and 0.73 in all patients. Annexin A3 has an inverse relationship to cancer and, therefore, its specificity was much better than that of prostate specific antigen. CONCLUSIONS: Annexin A3 quantification in urine provides a novel noninvasive biomarker with high specificity. Annexin A3 is complementary to prostate specific antigen or to any other cancer marker. It has a huge potential to avoid unnecessary biopsies with a particular strength in the clinically relevant large group of patients who have a negative digital rectal examination and prostate specific antigen in the lower range of values (2 to 10 ng/ml).

A connection between the mitochondrial permeability transition pore, autophagy, and cerebral amyloidogenesis.

In a drug reprofiling attempt, we explored novel neuroprotective properties of 4-azasteroids by synthesizing chemical affinity tags capturing adenine nucleotide translocator-1, as a potential target. Dutasteride inhibits the mitochondrial transition pore and induces an increase of autophagosomal structures in human cell lines. In vivo, a surprising reduction of the beta-amyloid plaque load in a model for cerebral amyloidosis appears to connect release of neurotoxic peptides, mitochondrial apoptosis and autophagy.

Nonenzymatic posttranslational protein modifications in ageing.

One of the most fundamental molecular aspects of aging is accumulating oxidative damage caused by reactive oxygen species (ROS) as proposed by the free radical theory of aging. These unwanted chemical side products of normal metabolism lead to the formation of altered, less active and potentially toxic species of DNA, RNA, proteins, lipids, and small molecules. Due to gradually accumulating small contributions of irreversible reactions during ageing, uncatalyzed chemical side reactions occur with increasing frequencies and repair functions decline. Eventually key biochemical pathways are impaired by increasingly less efficient cellular stress management. In this review, we describe the chemical nature of nonenzymatic age-related modifications of proteins and provide an overview of related analytical challenges and approaches, with a focus on mass spectrometry. We include the description of a strategy to rapidly exploit the wealth of mass spectrometric information from standard MALDI-TOF peptide fingerprints for the characterisation of age-related oxidative amino acid modifications.

Differential proteomic profiling of mitochondria from Podospora anserina, rat and human reveals distinct patterns of age-related oxidative changes.

According to the 'free radical theory of ageing', the generation and accumulation of reactive oxygen species are key events during ageing of biological systems. Mitochondria are a major source of ROS and prominent targets for ROS-induced damage. Whereas mitochondrial DNA and membranes were shown to be oxidatively modified with ageing, mitochondrial protein oxidation is not well understood. The purpose of this study was an unbiased investigation of age-related changes in mitochondrial proteins and the molecular pathways by which ROS-induced protein oxidation may disturb cellular homeostasis. In a differential comparison of mitochondrial proteins from young and senescent strains of the fungal ageing model Podospora anserina, from brains of young (5 months) vs. older rats (17 and 31 months), and human cells, with normal and chemically accelerated in vitro ageing, we found certain redundant posttranslationally modified isoforms of subunits of ATP synthase affected across all three species. These appear to represent general susceptible hot spot targets for oxidative chemical changes of proteins accumulating during ageing, and potentially initiating various age-related pathologies and processes. This type of modification is discussed using the example of SAM-dependent O-methyltransferase from P. anserina (PaMTH1), which surprisingly was found to be enriched in mitochondrial preparations of senescent cultures.

What does it need to be a biomarker? Relationships between resolution, differential quantification and statistical validation of protein surrogate biomarkers.

The separation of proteins with the aim of discovering surrogate biomarkers defining differences between various stages of biological materials is the core occupation of every project in Proteomics. There are numerous recent publications suggesting a wide array of separation technologies, ranging from 2-DE, MS-linked LC, CE or chip-based surface-enhanced laser desorption ionization claiming to be useful for this purpose, and addressing the urgent clinical, diagnostic or toxicological needs for such surrogates. However, many potential biomarkers emerging from proteomic studies did not survive validation in, for example, large-scale clinical studies or simply independent experiments, and at the same time being tested in settings with case numbers bigger than perhaps a few hundreds. The major problems of protein biomarkers are associated with the huge dynamic range of possible concentrations and the ever-increasing number of molecular species due to post-translational modifications. In particular, the chemical diversity of the latter imposes a necessity of improved resolution of separation technologies, because otherwise the crucial quantitative information is lost in pools of poorly resolved peptides. Here, we present and analyze some examples of successful developments of protein biomarkers, and show the prerequisites and necessary considerations while moving protein candidates from purely descriptive phenomena to a stage of validated surrogate biomarkers. This includes a detailed discussion of requirements regarding resolution of initial separation techniques, linear dynamic range and statistics of differential quantification, but also the subsequent clinical validation, testing the biomarker in clinical settings and using large numbers of patient samples.

Metabolically stable isotope labeling prior to electrophoretic protein separation reveals differences in fractional synthesis rates between mitochondrial aldehyde dehydrogenase isoforms.

Living mice were subjected to whole body labeling by intravenous infusion of [(13)C]glucose as the sole carbon source. After 10 h infusion the mice were sacrificed, and liver proteins were separated by two-dimensional polyacrylamide gel electrophoresis. Five spots were found to contain mitochondrial aldehyde dehydrogenase (ALDH2) by matrix assisted time of flight mass spectrometry protein identification. By measuring the isotopologue mass distributions of peptide ions, and modeling the (13)C content of the precursor amino acid pool, the fractional synthesis rate of ALDH2 molecules synthesized during the labeling period was determined. One of the five spots was observed to have a five-fold higher fraction of (13)C-containing newly synthesized ALDH2 than the spot with the highest ALDH2 content, and contained more than 60% of newly synthesized ALDH2 although it accounted for less than 20% of the total ALDH2 detected. The total range in the fraction of (13)C-containing proteins between different ALDH2 spots approached 50-fold. The ability to quantitatively characterize different protein isoforms of biological origin for ALDH2 and other proteins from living animals provides new avenues for the exploration of protein function.

Comparative profiling of the mammalian mitochondrial proteome: multiple aconitase-2 isoforms including N-formylkynurenine modifications as part of a protein biomarker signature for reactive oxidative species.

The activity of mitochondria induces, as a byproduct, a variety of post-translational modifications in associated proteins, which have functional downstream consequences for processes such as apoptosis, autophagy, and plasticity; e.g., reactive oxygen species (ROS), which induce N-formyl-kynurenine from oxidized tryptophans in certain mitochondrial proteins which are localized in close spatial proximity to their source. This type of fast molecular changes has profound influence on cell death and survival with implications in a number of pathologies. The quantitative and differential analysis of bovine heart mitochondria by four 2D-PAGE methods, including 2D-PAGE with high-resolution IEF as first dimension, revealed that due to limited resolution, those methods employing blue native-, tricine-urea-, and 16-BAC-PAGE as the first dimension are less applicable for the differential quantitative analysis of redundant protein spots which might give insight into post-translational modifications that are relevant in age- and stress-related changes. Moreover, 2D-PAGE with high resolution IEF was able to resolve a surprisingly large number of membrane proteins from mitochondrial preparations. For aconitase-2, an enzyme playing an important role in mitochondrial aging, a more thorough molecular analysis of all separable isoforms was performed, leading to the identification of two particular N-formylkynurenine modifications. Next to protein redundancy, native protein-protein interactions, with the potential of relating certain post-translational modification patterns to distinct oligomeric states, e.g., oxidative phosphorylation super complexes, might provide novel and (patho-) physiologically relevant information. Among proteins identified, 14 new proteins (GenBank entries), previously not associated with mitochondria, were found.