Exploring chemical space in non-targeted analysis: a proposed ChemSpace tool.

Non-targeted analysis (NTA) using high-resolution mass spectrometry allows scientists to detect and identify a broad range of compounds in diverse matrices for monitoring exposure and toxicological evaluation without a priori chemical knowledge. NTA methods present an opportunity to describe the constituents of a sample across a multidimensional swath of chemical properties, referred to as "chemical space." Understanding and communicating which region of chemical space is extractable and detectable by an NTA workflow, however, remains challenging and non-standardized. For example, many sample processing and data analysis steps influence the types of chemicals that can be detected and identified. Accordingly, it is challenging to assess whether analyte non-detection in an NTA study indicates true absence in a sample (above a detection limit) or is a false negative driven by workflow limitations. Here, we describe the need for accessible approaches that enable chemical space mapping in NTA studies, propose a tool to address this need, and highlight the different ways in which it could be implemented in NTA workflows. We identify a suite of existing predictive and analytical tools that can be used in combination to generate scores that describe the likelihood a compound will be detected and identified by a given NTA workflow based on the predicted chemical space of that workflow. Higher scores correspond to a higher likelihood of compound detection and identification in a given workflow (based on sample extraction, data acquisition, and data analysis parameters). Lower scores indicate a lower probability of detection, even if the compound is truly present in the samples of interest. Understanding the constraints of NTA workflows can be useful for stakeholders when results from NTA studies are used in real-world applications and for NTA researchers working to improve their workflow performance. The hypothetical ChemSpaceTool suggested herein could be used in both a prospective and retrospective sense. Prospectively, the tool can be used to further curate screening libraries and set identification thresholds. Retrospectively, false detections can be filtered by the plausibility of the compound identification by the selected NTA method, increasing the confidence of unknown identifications. Lastly, this work highlights the chemometric needs to make such a tool robust and usable across a wide range of NTA disciplines and invites others who are working on various models to participate in the development of the ChemSpaceTool. Ultimately, the development of a chemical space mapping tool strives to enable further standardization of NTA by improving method transparency and communication around false detection rates, thus allowing for more direct method comparisons between studies and improved reproducibility. This, in turn, is expected to promote further widespread applications of NTA beyond research-oriented settings.

Characterization of aerosols generated by high-power electronic nicotine delivery systems (ENDS): Influence of atomizer, temperature and PG:VG ratios.

The aerosol characteristics of electronic nicotine delivery systems (ENDS) are important parameters in predicting health outcomes since parameters such as aerosol particle size correlate strongly to aerosol delivery and deposition efficiency. However, many studies to date do not account for aerosol aging, which may affect the measurement of ultra-fine particles that typically coagulate or agglomerate during puff development. To reduce aerosol aging, we herein present a unique instrumentation method that combines a) positive pressure ENDS activation and sample collection, b) minimization of both sample tubing length and dilution factors, and c) a high-resolution, electrical low-pressure impactor. This novel approach was applied to systematically investigate the effects of coil design, coil temperature, and propylene glycol to vegetable glycerol ratios on aerosol characteristics including aerosol mass generation, aerosol count generation, and the mass and count size distributions for a high-powered ENDS. Aerosol count measurements revealed high concentrations of ultra-fine particles compared to fine and coarse particles at 200°C, while aerosol mass measurements showed an increase in the overall aerosol mass of fine and coarse particles with increases in temperature and decreases in propylene glycol content. These results provide a better understanding on how various ENDS design parameters affect aerosol characteristics and highlight the need for further research to identify the design parameters that most impact ultra-fine particle generation.

Report on investigation of ISO 10993-12 extraction conditions.

The international standard ISO 10993-12 describes extraction conditions for generating extracts of medical devices to be used in testing of biological safety. Questions about the adequacy of the extraction conditions (and their variations) for hazard identification drove the development and execution of a round robin study. Four relevant device materials were each evaluated by four laboratories following an established protocol that specified multiple options of extraction solvent, temperature, duration, and ratio of solvent volume to quantity of test article. The resulting samples were analysed by three instrumental methods to identify and quantify extracted organic and elemental substances; however, quantification was not achieved due to lab resource constraints, and only numbers of compounds were reported. Results showed an increased number of volatile organic compounds extracted with organic solvents; however, no clear effect of varying the other extraction parameters could be discerned. Quantification of a small subset of analytes showed sensitivity that may be adequate for hazard identification. An unplanned post hoc comparison of results across labs showed differing numbers of compounds detected; however, fundamental differences in sample preparation and specific analysis methods as well as lack of quantification render the results poorly suited to either exonerate or indict the adequacy of chemical characterization as practiced by the participating laboratories.

Studying the effect of drug-to-excipient ratio on drug release profile for drug coated balloons.

Drug-coated balloons (DCB) have emerged as the alternative procedure for restenosis because of their ability to treat a variety of occlusion types with a uniform dose of anti-proliferative drugs. DCB are balloons coated with antiproliferative drugs encapsulated in a polymer matrix. There are several types of coating matrices used to produce DCB. In this study, the relationship between coating composition and drug release under physiologically relevant conditions was examined to understand how differences in coating composition impacts the drug transfer from the balloon surface to the simulated body fluids. To conduct the experiments, the balloons were coated with different paclitaxel (drug)-to-iopromide (excipient) ratios (3:1, 3:2 and 1:2) using an in-house developed micro-pipetting method. Scanning electron microscopy (SEM) images showed that the 3:1 PTX:IOP ratio produced a more uniform, crystalline microstructure with a thinner coating throughout the balloon surface compared to the other drug-to-excipient ratios. The 1:2 PTX:IOP ratio showed the least crystalline microstructure among the three ratios evaluated in this study. Three different drug elution conditions were tested. The amount of drug released to the medium was quantified by high performance liquid chromatography (HPLC). Our soaking study and submerge & deploy study showed that ∼20% of the drug transferred to the target site under physiological conditions. A track and deploy method was performed using a "mock" artery, to simulate an in vitro environment. Coated balloons were passed through the mock artery to mimic tracking turns the balloon within the arteries during the angioplasty procedures. Seven elution samples were collected at different stages of the procedure. Drug release results suggest that the higher excipient ratio helps to deliver the lipophilic drug to the target site under simulated conditions but causes higher drug loss during the balloon transfer process.

Chemical Characterization and Non-targeted Analysis of Medical Device Extracts: A Review of Current Approaches, Gaps, and Emerging Practices.

The developers of medical devices evaluate the biocompatibility of their device prior to FDA's review and subsequent introduction to the market. Chemical characterization, described in ISO 10993-18:2020, can generate information for toxicological risk assessment and is an alternative approach for addressing some biocompatibility end points (e.g., systemic toxicity, genotoxicity, carcinogenicity, reproductive/developmental toxicity) that can reduce the time and cost of testing and the need for animal testing. Additionally, chemical characterization can be used to determine whether modifications to the materials and manufacturing processes alter the chemistry of a patient-contacting device to an extent that could impact device safety. Extractables testing is one approach to chemical characterization that employs combinations of non-targeted analysis, non-targeted screening, and/or targeted analysis to establish the identities and quantities of the various chemical constituents that can be released from a device. Due to the difficulty in obtaining a priori information on all the constituents in finished devices, information generation strategies in the form of analytical chemistry testing are often used. Identified and quantified extractables are then assessed using toxicological risk assessment approaches to determine if reported quantities are sufficiently low to overcome the need for further chemical analysis, biological evaluation of select end points, or risk control. For extractables studies to be useful as a screening tool, comprehensive and reliable non-targeted methods are needed. Although non-targeted methods have been adopted by many laboratories, they are laboratory-specific and require expensive analytical instruments and advanced technical expertise to perform. In this Perspective, we describe the elements of extractables studies and provide an overview of the current practices, identified gaps, and emerging practices that may be adopted on a wider scale in the future. This Perspective is outlined according to the steps of an extractables study: information gathering, extraction, extract sample processing, system selection, qualification, quantification, and identification.

An Introduction to the Benchmarking and Publications for Non-Targeted Analysis Working Group.

Non-targeted analysis (NTA) encompasses a rapidly evolving set of mass spectrometry techniques aimed at characterizing the chemical composition of complex samples, identifying unknown compounds, and/or classifying samples, without prior knowledge regarding the chemical content of the samples. Recent advances in NTA are the result of improved and more accessible instrumentation for data generation and analysis tools for data evaluation and interpretation. As researchers continue to develop NTA approaches in various scientific fields, there is a growing need to identify, disseminate, and adopt community-wide method reporting guidelines. In 2018, NTA researchers formed the Benchmarking and Publications for Non-Targeted Analysis Working Group (BP4NTA) to address this need. Consisting of participants from around the world and representing fields ranging from environmental science and food chemistry to 'omics and toxicology, BP4NTA provides resources addressing a variety of challenges associated with NTA. Thus far, BP4NTA group members have aimed to establish a consensus on NTA-related terms and concepts and to create consistency in reporting practices by providing resources on a public Web site, including consensus definitions, reference content, and lists of available tools. Moving forward, BP4NTA will provide a setting for NTA researchers to continue discussing emerging challenges and contribute to additional harmonization efforts.

Screening for extractables in additive-manufactured acrylonitrile butadiene styrene orthopedic cast.

The use of additive-manufactured components in medical applications, specifically medical devices (e.g., orthopedic casts), has increased in recent years. Such devices may be fabricated at the point of care using consumer-grade additive manufacturing. Limited studies have been conducted to evaluate the extractable substances of these devices. Chemical characterization followed by toxicological risk assessment is one means of evaluating safety of devices. This study was designed to determine the extractables profile of additive-manufactured materials according to filament grade and post-processing method. Feedstocks for additive manufacturing were tested as filament and manufactured casts, while the cast from consumer-grade filament (CGF) was post-processed. Samples were extracted using three solvents of varying polarities. Extracts were analyzed by gas chromatography/mass spectrometry (GC/MS) and liquid chromatography/mass spectrometry (LC/MS) techniques. In GC/MS analysis, isopropanol extracts generated fewer compound identifications for USP Class VI filament (USPF)-based casts (3) compared with the respective filament (17) while hexane generated the most compound identifications for the finished cast manufactured from CGF. CGF was found to have the highest number of nonvolatile extractables for isopropanol (15) and hexane (34) by positive ion LC/MS. Additionally, CGF produced more non-polar extractables in hexane than the USPF. A known polymer byproduct and potential genotoxicant, styrene acrylonitrile (SAN) trimer, was one of the compounds identified in both GC/MS and LC/MS at quantities ranging from 19 to 270 µg g-1. Overall these results suggested that the extractables profile was affected by the filament material, printing procedure, and post-processing method.

Paper spray portable mass spectrometry for screening of phorbol ester contamination in glycerol-based medical products.

The Jatropha curcas plant (Jatropha) has been proposed as a source of biodiesel fuel, as it yields crude glycerol as an abundant by-product. Its by-products could serve as a starting material in making glycerol for FDA-regulated products. Jatropha is not regarded as a source of edible vegetable oil since it contains phorbol esters (PEs). PEs, even at very low exposure concentrations, demonstrate various toxicities in humans and animals, but may not be detected by routine impurity analyses. Here, we demonstrate the development of a rapid and simplified method for the detection and quantification of Jatropha-derived PE toxins using ambient ionization mass spectrometry. To do this, we successfully coupled a paper spray ambient ionization source with an ion trap portable mass spectrometer. The paper spray source was assembled using chromatography papers, and analyte ions were generated by applying a high voltage to a wetted paper triangle loaded with PE standards. For method development, we used commercially available PE standards on an ion trap portable mass spectrometer. Standard solutions were prepared using ethanol with PE concentrations ranging from 1.0 to 0.0001 mg mL-1. Spike and recovery experiments were performed using USP grade and commercially available glycerol. To discern chemical differences between samples, we applied multivariate data analysis. Based on the results obtained, paper spray coupled with a portable mass spectrometric method can be successfully adopted for the analysis of toxic contaminants present in glycerol-based consumer products with LOD and LOQ of 0.175 µg mL-1 and 0.3 µg mL-1 respectively. This direct, simple design, and low-cost sampling and ionization method enables fast screening with high sensitivity in non-laboratory settings.

Optimization of balloon coating process for paclitaxel coated balloons via micro-pipetting method.

Drug coated balloons (DCBs) have proven to be a suitable alternative for the treatment of cardiovascular diseases. They allow for uniform delivery of an antiproliferative drug to the stenotic site without permanent implantation of the device in the patient's body. There are, however, regulatory concerns regarding the lack of data associated with variable drug delivery to the target site, which can be related to the coating process. This study describes the process for an in-house micro-pipetting coating method that incorporates a laboratory-developed coating equation for determining optimal coating parameters. The coating solutions included a common drug of choice, paclitaxel, along with a hydrophilic excipient, such as iopromide. It was found that using a revolution rate of 240 rev/min, a flow rate of 25 µL/min and a translational speed of 0.033 cm/s resulted in visually uniform coatings. High performance liquid chromatography (HPLC) allowed for the determination of paclitaxel content on the balloon surface. Scanning electron microscopy (SEM) enabled analysis of coating thickness and texture at distal, middle, and proximal positions on the balloon; average thicknesses were determined to be 16.4 ±â€¯5.8, 14.8 ±â€¯1.4, and 18.1 ±â€¯3.9 µm, respectively. These optimized coating conditions have been confirmed by in vitro drug release kinetics studies. Overall this study generated a simple and reproducible micro-pipetting coating method for the sustained release of drugs from the drug coated balloons.

Analytical Chemistry in the Regulatory Science of Medical Devices.

In the United States, regulatory science is the science of developing new tools, standards, and approaches to assess the safety, efficacy, quality, and performance of all Food and Drug Administration-regulated products. Good regulatory science facilitates consumer access to innovative medical devices that are safe and effective throughout the Total Product Life Cycle (TPLC). Because the need to measure things is fundamental to the regulatory science of medical devices, analytical chemistry plays an important role, contributing to medical device technology in two ways: It can be an integral part of an innovative medical device (e.g., diagnostic devices), and it can be used to support medical device development throughout the TPLC. In this review, we focus on analytical chemistry as a tool for the regulatory science of medical devices. We highlight recent progress in companion diagnostics, medical devices on chips for preclinical testing, mass spectrometry for postmarket monitoring, and detection/characterization of bacterial biofilm to prevent infections.

Characterizing the free volume of ultrahigh molecular weight polyethylene to predict diffusion coefficients in orthopedic liners.

Liners used in orthopedic devices are often made from ultrahigh molecular weight polyethylene (UHMWPE). A general predictive capability for transport coefficients of small molecules in UHMWPE does not exist, making it difficult to assess properties associated with leaching or uptake of small molecules. To address this gap, we describe here how a form of the Vrentas-Duda free volume model can be used to predict upper-bound diffusion coefficients (D) of arbitrary molecules within UHMWPE on the basis of their size and shape. Within this framework, the free-volume microstructure of UHMWPE is defined by analysis of a curated set of model diffusants. We determined an upper limit on D for vitamin E, a common antioxidant added to UHMWPE, to be 7.1 × 10-12 cm2  s-1 . This means that a liner that contains 0.1 wt % or less Vitamin E and has <120 cm2 patient contacting surface area would elute <100 µg/day of vitamin E. Additionally, the model predicts that squalene and cholesterol-two pro-oxidizing biological compounds-do not penetrate over 820 µm into UHMWPE liners over the course of 5 years because their D is ≤7.1 × 10-12 cm2  s-1 . © 2017 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 106B: 2393-2402, 2018.

Rapid detection of bacterial endotoxins in ophthalmic viscosurgical device materials by direct analysis in real time mass spectrometry.

Bacterial endotoxins are lipopolysaccharides bound to the bacterial cell wall and released when bacteria rupture or disintegrate. Possible contamination of endotoxin in ophthalmic devices can cause a painful eye inflammation or result in toxic anterior segment syndrome after cataract surgery. Measurement of bacterial endotoxin in medical device materials is difficult since endotoxin binds with polymer matrix and some of the materials are very viscous and non-water soluble, where traditional enzyme-based Limulus amebocyte lysate (LAL) assay cannot be applied. Here we propose a rapid and high throughput ambient ionization mass spectrometric (MS) method using direct analysis in real time (DART) for the evaluation of endotoxin contamination in medical device materials. Large and structurally complex endotoxin instantaneously breaks down into low-mass characteristic fragment ions using DART and is detected by MS in both positive and negative ion modes. This method enables the identification and separation of endotoxin from medical materials with a detection limit of 0.03 ng mL-1 endotoxins in aqueous solution. Ophthalmic viscosurgical device materials including sodium hyaluronate (NaHA), non-water soluble perfluoro-n-octane (PFO) and silicone oil (SO) were spiked with different known concentrations of endotoxin and analyzed by DART MS, where the presence of endotoxin was successfully detected and featured small mass fragment ions were generated for NaHA, PFO and SO as well. Current findings showed the feasibility of measuring endotoxin contamination in medical device materials using DART-MS, which can lead to a one-step analysis of endotoxins in different matrices, avoiding any potential contamination during sample pre-treatment steps.

Ion mobility-enhanced MS(E)-based label-free analysis reveals effects of low-dose radiation post contextual fear conditioning training on the mouse hippocampal proteome.

UNLABELLED: Recent advances in the field of biodosimetry have shown that the response of biological systems to ionizing radiation is complex and depends on the type and dose of radiation, the tissue(s) exposed, and the time lapsed after exposure. The biological effects of low dose radiation on learning and memory are not well understood. An ion mobility-enhanced data-independent acquisition (MS(E)) approach in conjunction with the ISOQuant software tool was utilized for label-free quantification of hippocampal proteins with the goal of determining protein alteration associated with low-dose whole body ionizing radiation (X-rays, 1Gy) of 5.5-month-old male C57BL/6J mice post contextual fear conditioning training. Global proteome analysis revealed deregulation of 73 proteins (out of 399 proteins). Deregulated proteins indicated adverse effects of irradiation on myelination and perturbation of energy metabolism pathways involving a shift from the TCA cycle to glutamate oxidation. Our findings also indicate that proteins associated with synaptic activity, including vesicle recycling and neurotransmission, were altered in the irradiated mice. The elevated LTP and decreased LTD suggest improved synaptic transmission and enhanced efficiency of neurotransmitter release which would be consistent with the observed comparable contextual fear memory performance of the mice following post-training whole body or sham-irradiation. SIGNIFICANCE: This study is significant because the biological consequences of low dose radiation on learning and memory are complex and not yet well understood. We conducted a IMS-enhanced MS(E)-based label-free quantitative proteomic analysis of hippocampal tissue with the goal of determining protein alteration associated with low-dose whole body ionizing radiation (X-ray, 1Gy) of 5.5-month-old male C57BL/6J mice post contextual fear conditioning training. The IMS-enhanced MS(E) approach in conjunction with ISOQuant software was robust and accurate with low median CV values of 0.99% for the technical replicates of samples from both the sham and irradiated group. The biological variance was as low as 1.61% for the sham group and 1.31% for the irradiated group. The applied data generation and processing workflow allowed the quantitative evaluation of 399 proteins. The current proteomic analysis indicates that myelination is sensitive to low dose radiation. The observed protein level changes imply modulation of energy metabolism pathways in the radiation exposed group, specifically changes in protein abundance levels suggest a shift from TCA cycle to glutamate oxidation to satisfy energy demands. Most significantly, our study reveals deregulation of proteins involved in processes that govern synaptic activity including enhanced synaptic vesicle cycling, and altered long-term potentiation (LTP) and depression (LTD). An elevated LTP and decreased LTD suggest improved synaptic transmission and enhanced efficiency of neurotransmitter release which is consistent with the observed comparable contextual fear memory performance of the mice following post-training whole body or sham-irradiation. Overall, our results underscore the importance of low dose radiation experiments for illuminating the sensitivity of biochemical pathways to radiation, and the modulation of potential repair and compensatory response mechanisms. This kind of studies and associated findings may ultimately lead to the design of strategies for ameliorating hippocampal and CNS injury following radiation exposure as part of medical therapies or as a consequence of occupational hazards.

Isolation and identification of antioxidant peptides from enzymatically hydrolyzed rice bran protein.

Khao Dawk Mali 105 rice bran protein (RBP) was fractionated into albumin (12.5%), globulin (13.9%), glutelin (70.8%) and prolamine (2.9%). The native and denatured RBP fractions were hydrolyzed with papain and trypsin for 3h at optimum conditions. The RBP fractions and their hydrolysates were evaluated for their antioxidant activity by the Oxygen Radical Absorbance Capacity (ORAC) assay. The trypsin-hydrolyzed denatured albumin exhibited the highest antioxidant activity with an ORAC value of 4.07 µmol of Trolox equivalent (TE)/mg protein. This hydrolysate was separated by using RP-HPLC and three fractions with high antioxidant activity were examined by LTQ-FTICR ESI mass spectrometry. The MW of the peptides from these fractions were 800-2100 Da. and consisted of 6-21 amino acid residues. Most of the peptides from the fractions demonstrated typical characteristics of well-known antioxidant peptides. The results suggest that trypsin-hydrolyzed denatured rice bran albumin might be useful as a natural food antioxidant.

HDAC6 activity is not required for basal autophagic flux in metastatic prostate cancer cells.

Histone deacetylase 6 is a multifunctional lysine deacetylase that is recently emerging as a central facilitator of response to stress and may play an important role in cancer cell proliferation. The histone deacetylase 6-inhibitor tubacin has been shown to slow the growth of metastatic prostate cancer cells and sensitize cancer cells to chemotherapeutic agents. However, the proteins histone deacetylase 6 interacts with, and thus its role in cancer cells, remains poorly characterized. Histone deacetylase 6 deacetylase activity has recently been shown to be required for efficient basal autophagic flux. Autophagy is often dysregulated in cancer cells and may confer stress resistance and allow for cell maintenance and a high proliferation rate. Tubacin may therefore slow cancer cell proliferation by decreasing autophagic flux. We characterized the histone deacetylase 6-interacting proteins in LNCaP metastatic prostate cancer cells and found that histone deacetylase 6 interacts with proteins involved in several cellular processes, including autophagy. Based on our interaction screen, we assessed the impact of the histone deacetylase 6-inhibitor tubacin on autophagic flux in two metastatic prostate cancer cell lines and found that tubacin does not influence autophagic flux. Histone deacetylase 6 therefore influences cell proliferation through an autophagy-independent mechanism.

Assessment of global proteome in LNCaP cells by 2D-RP/RP LC-MS/MS following sulforaphane exposure.

The phytochemical sulforaphane can induce cell cycle arrest and apoptosis in metastatic prostate cancer cells, though the mechanism of action is not fully known. We conducted a global proteome analysis in LNCaP metastatic prostate cancer cells to characterize how global protein signature responds to sulforaphane. We conducted parallel analyses to evaluate semi-quantitative 1-dimensional versus 2-dimensional liquid chromatography tandem mass spectrometry (LC-MS/MS) and their utility in characterizing whole cell lysate. We show that 2-dimensional LC-MS/MS can be a useful tool for characterizing global protein profiles and identify TRIAP1 as a novel regulator of cell proliferation in LNCaP metastatic prostate cancer cells.

One-hour screening of adulterated heparin by simplified peroxide digestion and fast RPIP-LC-MS(2).

Early detection of potential contaminants in heparin, an extensively used anticoagulant in drug formulations and medical devices, is critical to ensuring public health. In response to heparin adulteration by oversulfated chondroitin sulfates (OSCS) that was associated with adverse events including deaths in 2007-2008, many methods have been developed to detect OSCS in heparin. However, an analytical challenge for quality screenings has been to speed up these measurements to address the complex distribution scheme of heparin in today's global market. Here an approach based on mass spectrometry is described that enables the measurement of adulterated heparin in 1 h, significantly shortening the time frame of screening for potential contaminants. The methodology is based on simplified peroxide digestion that rapidly depolymerizes large polysaccharide chains to small oligosaccharides followed by fast liquid chromatography mass spectrometry to determine sample purity. We find that rapid peroxide digestion generates abundant C- and Y-type oligosaccharides that can be used to differentiate parent glycosaminoglycans via unsupervised multivariate analysis, including heparin, chondroitin sulfate A, dermatan sulfate, and the infamous OSCS. With quantitation demonstrated at 1% (w/w), or 50 ng, OSCS in heparin and the lower limit of detection estimated at ∼0.20% (w/w), or ∼10 ng, OSCS in heparin, the technology was sufficiently sensitive to differentiate real-life, "authentic" adulterated heparin samples and to quantify this contaminant with an error <10% relative standard deviation. The methodologies presented here are deliberately simple to foster adoption and increase the analytical throughput of mass spectrometric screening in the routine quality assessment of heparin and other types of compounds of this molecular family.

Analysis of autophagic flux in response to sulforaphane in metastatic prostate cancer cells.

SCOPE: The phytochemical sulforaphane (SF) has been shown to decrease prostate cancer metastases in a genetic mouse model of prostate carcinogenesis, though the mechanism of action is not fully known. SF has been reported to stimulate autophagy, and modulation of autophagy has been proposed to influence SF cytotoxicity; however, no conclusions about autophagy can be drawn without assessing autophagic flux, which has not been characterized in prostate cancer cells following SF treatment. METHODS AND RESULTS: We conducted an investigation to assess the impact of SF on autophagic flux in two metastatic prostate cancer cell lines at a concentration shown to decrease metastasis in vivo. Autophagic flux was assessed by multiple autophagy related proteins and substrates. We found that SF can stimulate autophagic flux and cell death only at high concentrations, above what has been observed in vivo. CONCLUSION: These results suggest that SF does not directly stimulate autophagy or cell death in metastatic prostate cancer cells under physiologically relevant conditions, but instead supports the involvement of in vivo factors as important effectors of SF-mediated prostate cancer suppression.

Characterization of a grape class IV chitinase.

A chitinase was purified from Vitis vinifera Manzoni Bianco grape juice and characterized. On the basis of proteomic analysis of tryptic peptides, a significant match identified the enzyme as a type IV grape chitinase previously found in juices of other V. vinifera varieties. The optimal pH and temperature for activity toward colloidal chitin were found to be 6 and 30 °C, respectively. The enzyme was found to hydrolyze chitin and oligomers of N-acetylglucosamine, generating N,N'-diacetylchitobiose and N-acetylglucosamine as products, but was inactive toward N,N'-diacetylchitobiose. The enzyme exhibited both endo- and exochitinase activities. Because yeast contains a small amount of chitin in the cell wall, the possibility of growth inhibition was tested. At a concentration and pH expected in ripe grapes, no inhibition of wine yeast growth by the chitinase was observed.

A multiplex biomarker approach for the diagnosis of transitional cell carcinoma from canine urine.

Transitional cell carcinoma (TCC), the most common cancer of the urinary bladder in dogs, is usually diagnosed at an advanced disease stage with limited response to chemotherapy. Commercial screening tests lack specificity and current diagnostic procedures are invasive. A proof of concept pilot project for analyzing the canine urinary proteome as a noninvasive diagnostic tool for TCC identification was conducted. Urine was collected from 12 dogs in three cohorts (healthy, urinary tract infection, TCC) and analyzed using liquid chromatography tandem mass spectrometry. The presence of four proteins (macrophage capping protein, peroxiredoxin 5, heterogeneous nuclear ribonucleoproteins A2/B, and apolipoprotein A1) was confirmed via immunoblot. Of the total 379 proteins identified, 96 were unique to the TCC group. A statistical model, designed to evaluate the accuracy of this multiplex biomarker approach for diagnosis of TCC, predicted the presence of disease with 90% accuracy.