Megan Penno

Radiative-surface plasmon resonance for the detection of apolipoprotein E in medical diagnostics applications

UNLABELLED Surface plasmon resonance (SPR)-based sensors enable the rapid, label-free and highly sensitive detection of a large range of biomolecules. We have previously shown that, using silver-coated optical fibers with a high surface roughness, re-scattering of light from the surface plasmons is possible, turning SPR into a radiative process. The efficacy of this platform has proven for the detection of large biomolecules such as viruses, proteins and enzymes. Here, we demonstrate that by bringing together this novel emission-based fiber SPR platform with an improved surface functionalization process aimed at properly orienting the antibodies, it is possible to rapidly and specifically detect the regulation of human apolipoprotein E (apoE), a low-molecular-weight protein (~39 kDa) known to be involved in cardiovascular diseases, Alzheimers disease and gastric cancer. The results obtained clearly show that this new sensing platform has the potential to serve as a tool for point-of-decision medical diagnostics. FROM THE CLINICAL EDITOR In this study, a novel emission-based surface plasmon resonance platform using silver-coated optical fibers is described. Properly orienting antibodies on the surface enables rapid and specific detection of human apolipoprotein E (apoE).

Identification and validation of novel candidate protein biomarkers for the detection of human gastric cancer

The timely detection of gastric cancer will contribute significantly towards effective treatment and is aided by the availability and reliability of appropriate biomarkers. A combination of several biomarkers can improve the sensitivity and specificity of cancer detection and this work reports results from a panel of 4 proteins. By combining a validated preclinical mouse model with a proteomic approach we have recently discovered novel biomarkers for the detection of gastric cancer. Here, we investigate the specificity of four of those biomarkers (afamin, clusterin, VDBP and haptoglobin) for the detection of gastric cancer using two independent methods of validation: ELISA, and a non antibody based method: Multiple Reaction Monitoring with High Resolution Mass Spectrometry (MRM-HR). All four biomarkers reliably differentiated GC from benign patient serum, and also in a small cohort of 11 early stage cases. We also present a novel isoform specific biomarker alpha-1-antitrypsin (A1AT) that was identified using a mouse model for gastric cancer. This isoform is distinct in charge and mobility in a pH gradient and was validated using human samples by isoelectric focussing and Western-blot (IEF-WB). This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge.

Optimal preparation methods for automated matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry profiling of low molecular weight proteins and peptides

Mass spectrometry (MS) profiling of the proteome and peptidome for disease-associated patterns is a new concept in clinical diagnostics. The technique, however, is highly sensitive to external sources of variation leading to potentially unacceptable numbers of false positive and false negative results. Before MS profiling can be confidently implemented in a medical setting, standard experimental methods must be developed that minimize technical variance. Past studies of variance have focused largely on pre-analytical variation (i.e., sample collection, handling, etc.). Here, we examined how factors at the analytical stage including the matrix and solid-phase extraction influence MS profiling. Firstly, a standard peptide/protein sample was measured automatically by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS across five consecutive days using two different preparation methods, dried droplet and sample/matrix, of four types of matrix: alpha-cyano-4-hydroxycinnamic acid (HCCA), sinapinic acid (SA), 2,5-dihydroxybenzoic acid (DHB) and 2,5-dihydroxyacetophenone (DHAP). The results indicated that the matrix preparation greatly influenced a number of key parameters of the spectra including repeatability (within-day variability), reproducibility (inter-day variability), resolution, signal strength, background intensity and detectability. Secondly, an investigation into the variance associated with C8 magnetic bead extraction of the standard sample prior to automated MS profiling demonstrated that the process did not adversely affect these same parameters. In fact, the spectra were generally more robust following extraction. Thirdly, the best performing matrix preparations were evaluated using C8 magnetic bead extracted human plasma. We conclude that the DHAP prepared according to the dried-droplet method is the most appropriate matrix to use when performing automated MS profiling.

2D-DIGE analysis of sera from transgenic mouse models reveals novel candidate protein biomarkers for human gastric cancer

The gp130(F/F) genetically engineered mouse (GEM) model reproducibly and predictably develops a gastric adenoma phenotype resembling the primary lesions of human intestinal-type gastric cancer (GC). Accordingly, changes to the serum proteome of gp130(F/F) mice may uncover early-stage GC biomarkers. Here, we have employed several double and compound mutant GEM strains that display distinct phenotypes with respect to gastric tumour load and inflammatory response, thereby mimicking different states of inflammation-associated early-stage GC in humans. This allowed us to distinguish between proteomic changes associated with tumourigenesis rather than confounding systemic inflammation. The comparative proteomic workflow involved depletion of high abundance proteins, 2D-DIGE analysis and protein identification by LC-MS/MS. The differential expression of 112 2D-DIGE spots specifically correlated with the tumour-bearing phenotype, corresponding to 31 murine proteins and their 28 human orthologues. Eight proteins were selected for validation in GC patient sera versus healthy controls. Significant increases in serum apolipoprotein E and haptoglobin, and decreases in afamin and clusterin, were confirmed by ELISA. Receiver operating characteristic analysis revealed that these proteins may be more sensitive and specific discriminators of GC than the existing clinical marker CA72-4.

Potential mechanisms of the acute coronary syndrome presentation in patients with the coronary slow flow phenomenon - Insight from a plasma proteomic approach

AIMS The coronary slow flow phenomenon [CSFP] is a coronary microvascular disorder, characterized by delayed distal vessel opacification despite the absence of obstructive coronary artery disease. Patients frequently present with an acute coronary syndrome [ACS] although the pathophysiological mechanisms responsible are unknown. The aim of this study was to identify potential mechanisms for the ACS presentation associated with the CSFP using a plasma proteomic profiling approach. METHODS AND RESULTS Plasma samples from nine CSFP subjects [56 ± 11years] were assayed for high sensitivity C-reactive protein [hsCRP], troponin T [TnT], creatine kinase [CK], and proteomic analyses (n=6), during an ACS presentation and one month later [chronic phase]. Proteomic analysis involved chromatographic depletion of abundant plasma proteins followed by two-dimensional differential gel electrophoresis [2-D DIGE]. Protein spots demonstrating ±1.5-fold change relative to the control were identified by mass spectrometry and two differentially expressed proteins were selected for validation via Western blotting. During the ACS presentation, hsCRP was elevated [ACS=14.9 ± 3.9 mg/L vs chronic=4.23 ± 1.37 mg/L, p=0.05] but TnT and CK levels were unchanged. Proteomic analysis identified six proteins that were significantly different in abundance between the acute and chronic samples. During the ACS presentation there was a 1.6 ± 0.13 fold increase in the anti-oxidant enzyme paraoxonase-1 and an increase in inflammatory proteins alpha-1-antichymotrypsin [1.65 ± 0.13 fold] and alpha-1-antitrypsin [2.5 ± 0.34 fold]. The latter was confirmed by Western blotting [1.33 ± 0.17 OD acute/chronic ratio, p=0.05]. CONCLUSION The findings from this novel detailed approach, implicate an inflammatory/oxidative stress process in the pathogenesis of the ACS presentation associated with the CSFP. Future studies should further elucidate these mechanisms.

Type 1 diabetes: a disease of developmental origins

The incidence of type 1 diabetes globally has increased dramatically over the last 50 years. Proposed environmental reasons for this increase mirror the modern lifestyle. Type 1 diabetes can be viewed as part of the non‐ communicable disease epidemic in our modern society. Meanwhile rapidly evolving new technologies are advancing our understanding of how human microbial communities interface with the immune system and metabolism, and how the modern pro‐inflammatory environment is changing these communities and contributing to the rapid rise of non‐communicable disease. The majority of children who present with clinical type 1 diabetes are of school age; however 80% of children who develop type 1 diabetes by 18 years of age will have detectable islet autoantibodies by 3 years of age. The evolving concept that type 1 diabetes in many children has developmental origins has directed research questions in search of prevention back to pregnancy and early life. To this end the worlds first pregnancy to early childhood cohort study in at‐risk children has commenced.

Comparative 2D DIGE Analysis of the Depleted Serum Proteome for Biomarker Discovery

Serum is unarguably the most used diagnostic fluid. As it circulates throughout the body, leakage peptides/proteins from damaged and dying cells, host-response proteins including inflammatory mediators, and aberrant secretions from tumors and diseased tissues are released into serum, potentially providing a rich source of disease biomarkers. Here, a method for extending access to the serum proteome by removing highly abundant proteins prior to comparative two-dimensional difference gel electrophoresis (2D DIGE) and subsequent protein digestion for identification by mass spectrometry is described.

Identifying candidate serum biomarkers of exposure to tunicamycins in rats using two-dimensional electrophoresis.

A model for chronic corynetoxins poisoning has been established in rats exposed to the toxicologically bioequivalent inhibitor of N-linked glycosylation the tunicamycins. Consumption of corynetoxins in contaminated pasture can result in the often fatal neurological disease of grazing livestock annual ryegrass toxicity (ARGT). Corynetoxins may also threaten human health as potential contaminants of the food supply via grain or products derived from subclinically exposed animals. The serum proteomes of four dose groups plus a control group following 6, 9, and 12 months dietary tunicamycins exposure were compared by one-dimensional electrophoresis. Numerous differences were observed between the control and the highest dose group (40.5 mug tunicamycins/kg of body weight/day), designated as High). Accordingly, these samples were further examined using two-dimensional electrophoresis. Thirty-three protein spots were found to be differentially displayed between the Control and High dose sera based on univariate statistics (p < 0.05 for log(10) transformed normalized volumes) and significant fold-changes in spot volume (+/-2.3-fold as determined by posthoc power analysis). Identities for 28 spots were obtained by MALDI-TOF MS corresponding to 13 different proteins. An increasing population of carbohydrate deficient transferrin was identified in the High dose sera using a combination of antibody and lectin detection and confirmed by ESI-IT MS/MS. The functionalities of other identified proteins were consistent with the oxidative stress and acute phase responses. The biomarkers identified in this study may not only play a useful role in diagnosing toxin exposure but could be helpful in identifying new treatment strategies for ARGT and equivalent human diseases.

Influence of fecal collection conditions and 16S rRNA gene sequencing at two centers on human gut microbiota analysis.

To optimise fecal sampling for reproducible analysis of the gut microbiome, we compared different methods of sample collection and sequencing of 16S rRNA genes at two centers. Samples collected from six individuals on three consecutive days were placed in commercial collection tubes (OMNIgeneGut OMR-200) or in sterile screw-top tubes in a home fridge or home freezer for 6–24 h, before transfer and storage at −80 °C. Replicate samples were shipped to centers in Australia and the USA for DNA extraction and sequencing by their respective PCR protocols, and analysed with the same bioinformatic pipeline. Variation in gut microbiome was dominated by differences between individuals. Minor differences in the abundance of taxa were found between collection-processing methods and day of collection, and between the two centers. We conclude that collection with storage and transport at 4 °C within 24 h is adequate for 16S rRNA analysis of the gut microbiome. Other factors including differences in PCR and sequencing methods account for relatively minor variation compared to differences between individuals.

Detection and measurement of carbohydrate deficient transferrin in serum using immuno-capture mass spectrometry: diagnostic applications for annual ryegrass toxicity and corynetoxin exposure.

The neurological livestock disease annual ryegrass toxicity (ARGT) is caused by the ingestion of the naturally occurring glycolipid toxins - the corynetoxins. Corynetoxins also threaten human health as potential contaminants of the food supply. Presently, there are no routine diagnostic tests for corynetoxins-exposure in humans or livestock. Chronic ingestion of corynetoxins has been modeled in rats exposed to dietary tunicamycins for 12 months and carbohydrate deficient transferrin (CDT) has been previously identified as a candidate disease biomarker. Here, the technique of immuno-capture mass spectrometry (icMS) was used to evaluate serum levels of CDT, discriminating between control and tunicamycins-exposed rats with 85% accuracy. The icMS approach is based on the combination of specific transferrin enrichment with functionalized magnetic beads and automated matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). With no other clinically-relevant diagnostic tests available icMS could be readily adapted for high-throughput clinical assessment of corynetoxins-exposure in humans or livestock.